ev1) {
+ throw new UnsupportedOperationException();
+ }
+}
diff --git a/core/src/main/java/org/apache/spark/shuffle/unsafe/PackedRecordPointer.java b/core/src/main/java/org/apache/spark/shuffle/unsafe/PackedRecordPointer.java
new file mode 100644
index 0000000000000..4ee6a82c0423e
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/shuffle/unsafe/PackedRecordPointer.java
@@ -0,0 +1,92 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe;
+
+/**
+ * Wrapper around an 8-byte word that holds a 24-bit partition number and 40-bit record pointer.
+ *
+ * Within the long, the data is laid out as follows:
+ *
+ * [24 bit partition number][13 bit memory page number][27 bit offset in page]
+ *
+ * This implies that the maximum addressable page size is 2^27 bits = 128 megabytes, assuming that
+ * our offsets in pages are not 8-byte-word-aligned. Since we have 2^13 pages (based off the
+ * 13-bit page numbers assigned by {@link org.apache.spark.unsafe.memory.TaskMemoryManager}), this
+ * implies that we can address 2^13 * 128 megabytes = 1 terabyte of RAM per task.
+ *
+ * Assuming word-alignment would allow for a 1 gigabyte maximum page size, but we leave this
+ * optimization to future work as it will require more careful design to ensure that addresses are
+ * properly aligned (e.g. by padding records).
+ */
+final class PackedRecordPointer {
+
+ static final int MAXIMUM_PAGE_SIZE_BYTES = 1 << 27; // 128 megabytes
+
+ /**
+ * The maximum partition identifier that can be encoded. Note that partition ids start from 0.
+ */
+ static final int MAXIMUM_PARTITION_ID = (1 << 24) - 1; // 16777215
+
+ /** Bit mask for the lower 40 bits of a long. */
+ private static final long MASK_LONG_LOWER_40_BITS = (1L << 40) - 1;
+
+ /** Bit mask for the upper 24 bits of a long */
+ private static final long MASK_LONG_UPPER_24_BITS = ~MASK_LONG_LOWER_40_BITS;
+
+ /** Bit mask for the lower 27 bits of a long. */
+ private static final long MASK_LONG_LOWER_27_BITS = (1L << 27) - 1;
+
+ /** Bit mask for the lower 51 bits of a long. */
+ private static final long MASK_LONG_LOWER_51_BITS = (1L << 51) - 1;
+
+ /** Bit mask for the upper 13 bits of a long */
+ private static final long MASK_LONG_UPPER_13_BITS = ~MASK_LONG_LOWER_51_BITS;
+
+ /**
+ * Pack a record address and partition id into a single word.
+ *
+ * @param recordPointer a record pointer encoded by TaskMemoryManager.
+ * @param partitionId a shuffle partition id (maximum value of 2^24).
+ * @return a packed pointer that can be decoded using the {@link PackedRecordPointer} class.
+ */
+ public static long packPointer(long recordPointer, int partitionId) {
+ assert (partitionId <= MAXIMUM_PARTITION_ID);
+ // Note that without word alignment we can address 2^27 bytes = 128 megabytes per page.
+ // Also note that this relies on some internals of how TaskMemoryManager encodes its addresses.
+ final long pageNumber = (recordPointer & MASK_LONG_UPPER_13_BITS) >>> 24;
+ final long compressedAddress = pageNumber | (recordPointer & MASK_LONG_LOWER_27_BITS);
+ return (((long) partitionId) << 40) | compressedAddress;
+ }
+
+ private long packedRecordPointer;
+
+ public void set(long packedRecordPointer) {
+ this.packedRecordPointer = packedRecordPointer;
+ }
+
+ public int getPartitionId() {
+ return (int) ((packedRecordPointer & MASK_LONG_UPPER_24_BITS) >>> 40);
+ }
+
+ public long getRecordPointer() {
+ final long pageNumber = (packedRecordPointer << 24) & MASK_LONG_UPPER_13_BITS;
+ final long offsetInPage = packedRecordPointer & MASK_LONG_LOWER_27_BITS;
+ return pageNumber | offsetInPage;
+ }
+
+}
diff --git a/core/src/main/java/org/apache/spark/shuffle/unsafe/SpillInfo.java b/core/src/main/java/org/apache/spark/shuffle/unsafe/SpillInfo.java
new file mode 100644
index 0000000000000..7bac0dc0bbeb6
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/shuffle/unsafe/SpillInfo.java
@@ -0,0 +1,37 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe;
+
+import java.io.File;
+
+import org.apache.spark.storage.TempShuffleBlockId;
+
+/**
+ * Metadata for a block of data written by {@link UnsafeShuffleExternalSorter}.
+ */
+final class SpillInfo {
+ final long[] partitionLengths;
+ final File file;
+ final TempShuffleBlockId blockId;
+
+ public SpillInfo(int numPartitions, File file, TempShuffleBlockId blockId) {
+ this.partitionLengths = new long[numPartitions];
+ this.file = file;
+ this.blockId = blockId;
+ }
+}
diff --git a/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleExternalSorter.java b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleExternalSorter.java
new file mode 100644
index 0000000000000..9e9ed94b7890c
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleExternalSorter.java
@@ -0,0 +1,422 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe;
+
+import java.io.File;
+import java.io.IOException;
+import java.util.LinkedList;
+
+import scala.Tuple2;
+
+import com.google.common.annotations.VisibleForTesting;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.apache.spark.SparkConf;
+import org.apache.spark.TaskContext;
+import org.apache.spark.executor.ShuffleWriteMetrics;
+import org.apache.spark.serializer.SerializerInstance;
+import org.apache.spark.shuffle.ShuffleMemoryManager;
+import org.apache.spark.storage.*;
+import org.apache.spark.unsafe.PlatformDependent;
+import org.apache.spark.unsafe.memory.MemoryBlock;
+import org.apache.spark.unsafe.memory.TaskMemoryManager;
+import org.apache.spark.util.Utils;
+
+/**
+ * An external sorter that is specialized for sort-based shuffle.
+ *
+ * Incoming records are appended to data pages. When all records have been inserted (or when the
+ * current thread's shuffle memory limit is reached), the in-memory records are sorted according to
+ * their partition ids (using a {@link UnsafeShuffleInMemorySorter}). The sorted records are then
+ * written to a single output file (or multiple files, if we've spilled). The format of the output
+ * files is the same as the format of the final output file written by
+ * {@link org.apache.spark.shuffle.sort.SortShuffleWriter}: each output partition's records are
+ * written as a single serialized, compressed stream that can be read with a new decompression and
+ * deserialization stream.
+ *
+ * Unlike {@link org.apache.spark.util.collection.ExternalSorter}, this sorter does not merge its
+ * spill files. Instead, this merging is performed in {@link UnsafeShuffleWriter}, which uses a
+ * specialized merge procedure that avoids extra serialization/deserialization.
+ */
+final class UnsafeShuffleExternalSorter {
+
+ private final Logger logger = LoggerFactory.getLogger(UnsafeShuffleExternalSorter.class);
+
+ private static final int PAGE_SIZE = PackedRecordPointer.MAXIMUM_PAGE_SIZE_BYTES;
+ @VisibleForTesting
+ static final int DISK_WRITE_BUFFER_SIZE = 1024 * 1024;
+ @VisibleForTesting
+ static final int MAX_RECORD_SIZE = PAGE_SIZE - 4;
+
+ private final int initialSize;
+ private final int numPartitions;
+ private final TaskMemoryManager memoryManager;
+ private final ShuffleMemoryManager shuffleMemoryManager;
+ private final BlockManager blockManager;
+ private final TaskContext taskContext;
+ private final ShuffleWriteMetrics writeMetrics;
+
+ /** The buffer size to use when writing spills using DiskBlockObjectWriter */
+ private final int fileBufferSizeBytes;
+
+ /**
+ * Memory pages that hold the records being sorted. The pages in this list are freed when
+ * spilling, although in principle we could recycle these pages across spills (on the other hand,
+ * this might not be necessary if we maintained a pool of re-usable pages in the TaskMemoryManager
+ * itself).
+ */
+ private final LinkedList allocatedPages = new LinkedList();
+
+ private final LinkedList spills = new LinkedList();
+
+ // These variables are reset after spilling:
+ private UnsafeShuffleInMemorySorter sorter;
+ private MemoryBlock currentPage = null;
+ private long currentPagePosition = -1;
+ private long freeSpaceInCurrentPage = 0;
+
+ public UnsafeShuffleExternalSorter(
+ TaskMemoryManager memoryManager,
+ ShuffleMemoryManager shuffleMemoryManager,
+ BlockManager blockManager,
+ TaskContext taskContext,
+ int initialSize,
+ int numPartitions,
+ SparkConf conf,
+ ShuffleWriteMetrics writeMetrics) throws IOException {
+ this.memoryManager = memoryManager;
+ this.shuffleMemoryManager = shuffleMemoryManager;
+ this.blockManager = blockManager;
+ this.taskContext = taskContext;
+ this.initialSize = initialSize;
+ this.numPartitions = numPartitions;
+ // Use getSizeAsKb (not bytes) to maintain backwards compatibility if no units are provided
+ this.fileBufferSizeBytes = (int) conf.getSizeAsKb("spark.shuffle.file.buffer", "32k") * 1024;
+
+ this.writeMetrics = writeMetrics;
+ initializeForWriting();
+ }
+
+ /**
+ * Allocates new sort data structures. Called when creating the sorter and after each spill.
+ */
+ private void initializeForWriting() throws IOException {
+ // TODO: move this sizing calculation logic into a static method of sorter:
+ final long memoryRequested = initialSize * 8L;
+ final long memoryAcquired = shuffleMemoryManager.tryToAcquire(memoryRequested);
+ if (memoryAcquired != memoryRequested) {
+ shuffleMemoryManager.release(memoryAcquired);
+ throw new IOException("Could not acquire " + memoryRequested + " bytes of memory");
+ }
+
+ this.sorter = new UnsafeShuffleInMemorySorter(initialSize);
+ }
+
+ /**
+ * Sorts the in-memory records and writes the sorted records to an on-disk file.
+ * This method does not free the sort data structures.
+ *
+ * @param isLastFile if true, this indicates that we're writing the final output file and that the
+ * bytes written should be counted towards shuffle spill metrics rather than
+ * shuffle write metrics.
+ */
+ private void writeSortedFile(boolean isLastFile) throws IOException {
+
+ final ShuffleWriteMetrics writeMetricsToUse;
+
+ if (isLastFile) {
+ // We're writing the final non-spill file, so we _do_ want to count this as shuffle bytes.
+ writeMetricsToUse = writeMetrics;
+ } else {
+ // We're spilling, so bytes written should be counted towards spill rather than write.
+ // Create a dummy WriteMetrics object to absorb these metrics, since we don't want to count
+ // them towards shuffle bytes written.
+ writeMetricsToUse = new ShuffleWriteMetrics();
+ }
+
+ // This call performs the actual sort.
+ final UnsafeShuffleInMemorySorter.UnsafeShuffleSorterIterator sortedRecords =
+ sorter.getSortedIterator();
+
+ // Currently, we need to open a new DiskBlockObjectWriter for each partition; we can avoid this
+ // after SPARK-5581 is fixed.
+ BlockObjectWriter writer;
+
+ // Small writes to DiskBlockObjectWriter will be fairly inefficient. Since there doesn't seem to
+ // be an API to directly transfer bytes from managed memory to the disk writer, we buffer
+ // data through a byte array. This array does not need to be large enough to hold a single
+ // record;
+ final byte[] writeBuffer = new byte[DISK_WRITE_BUFFER_SIZE];
+
+ // Because this output will be read during shuffle, its compression codec must be controlled by
+ // spark.shuffle.compress instead of spark.shuffle.spill.compress, so we need to use
+ // createTempShuffleBlock here; see SPARK-3426 for more details.
+ final Tuple2 spilledFileInfo =
+ blockManager.diskBlockManager().createTempShuffleBlock();
+ final File file = spilledFileInfo._2();
+ final TempShuffleBlockId blockId = spilledFileInfo._1();
+ final SpillInfo spillInfo = new SpillInfo(numPartitions, file, blockId);
+
+ // Unfortunately, we need a serializer instance in order to construct a DiskBlockObjectWriter.
+ // Our write path doesn't actually use this serializer (since we end up calling the `write()`
+ // OutputStream methods), but DiskBlockObjectWriter still calls some methods on it. To work
+ // around this, we pass a dummy no-op serializer.
+ final SerializerInstance ser = DummySerializerInstance.INSTANCE;
+
+ writer = blockManager.getDiskWriter(blockId, file, ser, fileBufferSizeBytes, writeMetricsToUse);
+
+ int currentPartition = -1;
+ while (sortedRecords.hasNext()) {
+ sortedRecords.loadNext();
+ final int partition = sortedRecords.packedRecordPointer.getPartitionId();
+ assert (partition >= currentPartition);
+ if (partition != currentPartition) {
+ // Switch to the new partition
+ if (currentPartition != -1) {
+ writer.commitAndClose();
+ spillInfo.partitionLengths[currentPartition] = writer.fileSegment().length();
+ }
+ currentPartition = partition;
+ writer =
+ blockManager.getDiskWriter(blockId, file, ser, fileBufferSizeBytes, writeMetricsToUse);
+ }
+
+ final long recordPointer = sortedRecords.packedRecordPointer.getRecordPointer();
+ final Object recordPage = memoryManager.getPage(recordPointer);
+ final long recordOffsetInPage = memoryManager.getOffsetInPage(recordPointer);
+ int dataRemaining = PlatformDependent.UNSAFE.getInt(recordPage, recordOffsetInPage);
+ long recordReadPosition = recordOffsetInPage + 4; // skip over record length
+ while (dataRemaining > 0) {
+ final int toTransfer = Math.min(DISK_WRITE_BUFFER_SIZE, dataRemaining);
+ PlatformDependent.copyMemory(
+ recordPage,
+ recordReadPosition,
+ writeBuffer,
+ PlatformDependent.BYTE_ARRAY_OFFSET,
+ toTransfer);
+ writer.write(writeBuffer, 0, toTransfer);
+ recordReadPosition += toTransfer;
+ dataRemaining -= toTransfer;
+ }
+ writer.recordWritten();
+ }
+
+ if (writer != null) {
+ writer.commitAndClose();
+ // If `writeSortedFile()` was called from `closeAndGetSpills()` and no records were inserted,
+ // then the file might be empty. Note that it might be better to avoid calling
+ // writeSortedFile() in that case.
+ if (currentPartition != -1) {
+ spillInfo.partitionLengths[currentPartition] = writer.fileSegment().length();
+ spills.add(spillInfo);
+ }
+ }
+
+ if (!isLastFile) { // i.e. this is a spill file
+ // The current semantics of `shuffleRecordsWritten` seem to be that it's updated when records
+ // are written to disk, not when they enter the shuffle sorting code. DiskBlockObjectWriter
+ // relies on its `recordWritten()` method being called in order to trigger periodic updates to
+ // `shuffleBytesWritten`. If we were to remove the `recordWritten()` call and increment that
+ // counter at a higher-level, then the in-progress metrics for records written and bytes
+ // written would get out of sync.
+ //
+ // When writing the last file, we pass `writeMetrics` directly to the DiskBlockObjectWriter;
+ // in all other cases, we pass in a dummy write metrics to capture metrics, then copy those
+ // metrics to the true write metrics here. The reason for performing this copying is so that
+ // we can avoid reporting spilled bytes as shuffle write bytes.
+ //
+ // Note that we intentionally ignore the value of `writeMetricsToUse.shuffleWriteTime()`.
+ // Consistent with ExternalSorter, we do not count this IO towards shuffle write time.
+ // This means that this IO time is not accounted for anywhere; SPARK-3577 will fix this.
+ writeMetrics.incShuffleRecordsWritten(writeMetricsToUse.shuffleRecordsWritten());
+ taskContext.taskMetrics().incDiskBytesSpilled(writeMetricsToUse.shuffleBytesWritten());
+ }
+ }
+
+ /**
+ * Sort and spill the current records in response to memory pressure.
+ */
+ @VisibleForTesting
+ void spill() throws IOException {
+ logger.info("Thread {} spilling sort data of {} to disk ({} {} so far)",
+ Thread.currentThread().getId(),
+ Utils.bytesToString(getMemoryUsage()),
+ spills.size(),
+ spills.size() > 1 ? " times" : " time");
+
+ writeSortedFile(false);
+ final long sorterMemoryUsage = sorter.getMemoryUsage();
+ sorter = null;
+ shuffleMemoryManager.release(sorterMemoryUsage);
+ final long spillSize = freeMemory();
+ taskContext.taskMetrics().incMemoryBytesSpilled(spillSize);
+
+ initializeForWriting();
+ }
+
+ private long getMemoryUsage() {
+ return sorter.getMemoryUsage() + (allocatedPages.size() * (long) PAGE_SIZE);
+ }
+
+ private long freeMemory() {
+ long memoryFreed = 0;
+ for (MemoryBlock block : allocatedPages) {
+ memoryManager.freePage(block);
+ shuffleMemoryManager.release(block.size());
+ memoryFreed += block.size();
+ }
+ allocatedPages.clear();
+ currentPage = null;
+ currentPagePosition = -1;
+ freeSpaceInCurrentPage = 0;
+ return memoryFreed;
+ }
+
+ /**
+ * Force all memory and spill files to be deleted; called by shuffle error-handling code.
+ */
+ public void cleanupAfterError() {
+ freeMemory();
+ for (SpillInfo spill : spills) {
+ if (spill.file.exists() && !spill.file.delete()) {
+ logger.error("Unable to delete spill file {}", spill.file.getPath());
+ }
+ }
+ if (sorter != null) {
+ shuffleMemoryManager.release(sorter.getMemoryUsage());
+ sorter = null;
+ }
+ }
+
+ /**
+ * Checks whether there is enough space to insert a new record into the sorter.
+ *
+ * @param requiredSpace the required space in the data page, in bytes, including space for storing
+ * the record size.
+
+ * @return true if the record can be inserted without requiring more allocations, false otherwise.
+ */
+ private boolean haveSpaceForRecord(int requiredSpace) {
+ assert (requiredSpace > 0);
+ return (sorter.hasSpaceForAnotherRecord() && (requiredSpace <= freeSpaceInCurrentPage));
+ }
+
+ /**
+ * Allocates more memory in order to insert an additional record. This will request additional
+ * memory from the {@link ShuffleMemoryManager} and spill if the requested memory can not be
+ * obtained.
+ *
+ * @param requiredSpace the required space in the data page, in bytes, including space for storing
+ * the record size.
+ */
+ private void allocateSpaceForRecord(int requiredSpace) throws IOException {
+ if (!sorter.hasSpaceForAnotherRecord()) {
+ logger.debug("Attempting to expand sort pointer array");
+ final long oldPointerArrayMemoryUsage = sorter.getMemoryUsage();
+ final long memoryToGrowPointerArray = oldPointerArrayMemoryUsage * 2;
+ final long memoryAcquired = shuffleMemoryManager.tryToAcquire(memoryToGrowPointerArray);
+ if (memoryAcquired < memoryToGrowPointerArray) {
+ shuffleMemoryManager.release(memoryAcquired);
+ spill();
+ } else {
+ sorter.expandPointerArray();
+ shuffleMemoryManager.release(oldPointerArrayMemoryUsage);
+ }
+ }
+ if (requiredSpace > freeSpaceInCurrentPage) {
+ logger.trace("Required space {} is less than free space in current page ({})", requiredSpace,
+ freeSpaceInCurrentPage);
+ // TODO: we should track metrics on the amount of space wasted when we roll over to a new page
+ // without using the free space at the end of the current page. We should also do this for
+ // BytesToBytesMap.
+ if (requiredSpace > PAGE_SIZE) {
+ throw new IOException("Required space " + requiredSpace + " is greater than page size (" +
+ PAGE_SIZE + ")");
+ } else {
+ final long memoryAcquired = shuffleMemoryManager.tryToAcquire(PAGE_SIZE);
+ if (memoryAcquired < PAGE_SIZE) {
+ shuffleMemoryManager.release(memoryAcquired);
+ spill();
+ final long memoryAcquiredAfterSpilling = shuffleMemoryManager.tryToAcquire(PAGE_SIZE);
+ if (memoryAcquiredAfterSpilling != PAGE_SIZE) {
+ shuffleMemoryManager.release(memoryAcquiredAfterSpilling);
+ throw new IOException("Unable to acquire " + PAGE_SIZE + " bytes of memory");
+ }
+ }
+ currentPage = memoryManager.allocatePage(PAGE_SIZE);
+ currentPagePosition = currentPage.getBaseOffset();
+ freeSpaceInCurrentPage = PAGE_SIZE;
+ allocatedPages.add(currentPage);
+ }
+ }
+ }
+
+ /**
+ * Write a record to the shuffle sorter.
+ */
+ public void insertRecord(
+ Object recordBaseObject,
+ long recordBaseOffset,
+ int lengthInBytes,
+ int partitionId) throws IOException {
+ // Need 4 bytes to store the record length.
+ final int totalSpaceRequired = lengthInBytes + 4;
+ if (!haveSpaceForRecord(totalSpaceRequired)) {
+ allocateSpaceForRecord(totalSpaceRequired);
+ }
+
+ final long recordAddress =
+ memoryManager.encodePageNumberAndOffset(currentPage, currentPagePosition);
+ final Object dataPageBaseObject = currentPage.getBaseObject();
+ PlatformDependent.UNSAFE.putInt(dataPageBaseObject, currentPagePosition, lengthInBytes);
+ currentPagePosition += 4;
+ freeSpaceInCurrentPage -= 4;
+ PlatformDependent.copyMemory(
+ recordBaseObject,
+ recordBaseOffset,
+ dataPageBaseObject,
+ currentPagePosition,
+ lengthInBytes);
+ currentPagePosition += lengthInBytes;
+ freeSpaceInCurrentPage -= lengthInBytes;
+ sorter.insertRecord(recordAddress, partitionId);
+ }
+
+ /**
+ * Close the sorter, causing any buffered data to be sorted and written out to disk.
+ *
+ * @return metadata for the spill files written by this sorter. If no records were ever inserted
+ * into this sorter, then this will return an empty array.
+ * @throws IOException
+ */
+ public SpillInfo[] closeAndGetSpills() throws IOException {
+ try {
+ if (sorter != null) {
+ // Do not count the final file towards the spill count.
+ writeSortedFile(true);
+ freeMemory();
+ }
+ return spills.toArray(new SpillInfo[spills.size()]);
+ } catch (IOException e) {
+ cleanupAfterError();
+ throw e;
+ }
+ }
+
+}
diff --git a/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleInMemorySorter.java b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleInMemorySorter.java
new file mode 100644
index 0000000000000..5bab501da9364
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleInMemorySorter.java
@@ -0,0 +1,124 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe;
+
+import java.util.Comparator;
+
+import org.apache.spark.util.collection.Sorter;
+
+final class UnsafeShuffleInMemorySorter {
+
+ private final Sorter sorter;
+ private static final class SortComparator implements Comparator {
+ @Override
+ public int compare(PackedRecordPointer left, PackedRecordPointer right) {
+ return left.getPartitionId() - right.getPartitionId();
+ }
+ }
+ private static final SortComparator SORT_COMPARATOR = new SortComparator();
+
+ /**
+ * An array of record pointers and partition ids that have been encoded by
+ * {@link PackedRecordPointer}. The sort operates on this array instead of directly manipulating
+ * records.
+ */
+ private long[] pointerArray;
+
+ /**
+ * The position in the pointer array where new records can be inserted.
+ */
+ private int pointerArrayInsertPosition = 0;
+
+ public UnsafeShuffleInMemorySorter(int initialSize) {
+ assert (initialSize > 0);
+ this.pointerArray = new long[initialSize];
+ this.sorter = new Sorter(UnsafeShuffleSortDataFormat.INSTANCE);
+ }
+
+ public void expandPointerArray() {
+ final long[] oldArray = pointerArray;
+ // Guard against overflow:
+ final int newLength = oldArray.length * 2 > 0 ? (oldArray.length * 2) : Integer.MAX_VALUE;
+ pointerArray = new long[newLength];
+ System.arraycopy(oldArray, 0, pointerArray, 0, oldArray.length);
+ }
+
+ public boolean hasSpaceForAnotherRecord() {
+ return pointerArrayInsertPosition + 1 < pointerArray.length;
+ }
+
+ public long getMemoryUsage() {
+ return pointerArray.length * 8L;
+ }
+
+ /**
+ * Inserts a record to be sorted.
+ *
+ * @param recordPointer a pointer to the record, encoded by the task memory manager. Due to
+ * certain pointer compression techniques used by the sorter, the sort can
+ * only operate on pointers that point to locations in the first
+ * {@link PackedRecordPointer#MAXIMUM_PAGE_SIZE_BYTES} bytes of a data page.
+ * @param partitionId the partition id, which must be less than or equal to
+ * {@link PackedRecordPointer#MAXIMUM_PARTITION_ID}.
+ */
+ public void insertRecord(long recordPointer, int partitionId) {
+ if (!hasSpaceForAnotherRecord()) {
+ if (pointerArray.length == Integer.MAX_VALUE) {
+ throw new IllegalStateException("Sort pointer array has reached maximum size");
+ } else {
+ expandPointerArray();
+ }
+ }
+ pointerArray[pointerArrayInsertPosition] =
+ PackedRecordPointer.packPointer(recordPointer, partitionId);
+ pointerArrayInsertPosition++;
+ }
+
+ /**
+ * An iterator-like class that's used instead of Java's Iterator in order to facilitate inlining.
+ */
+ public static final class UnsafeShuffleSorterIterator {
+
+ private final long[] pointerArray;
+ private final int numRecords;
+ final PackedRecordPointer packedRecordPointer = new PackedRecordPointer();
+ private int position = 0;
+
+ public UnsafeShuffleSorterIterator(int numRecords, long[] pointerArray) {
+ this.numRecords = numRecords;
+ this.pointerArray = pointerArray;
+ }
+
+ public boolean hasNext() {
+ return position < numRecords;
+ }
+
+ public void loadNext() {
+ packedRecordPointer.set(pointerArray[position]);
+ position++;
+ }
+ }
+
+ /**
+ * Return an iterator over record pointers in sorted order.
+ */
+ public UnsafeShuffleSorterIterator getSortedIterator() {
+ sorter.sort(pointerArray, 0, pointerArrayInsertPosition, SORT_COMPARATOR);
+ return new UnsafeShuffleSorterIterator(pointerArrayInsertPosition, pointerArray);
+ }
+}
diff --git a/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleSortDataFormat.java b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleSortDataFormat.java
new file mode 100644
index 0000000000000..a66d74ee44782
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleSortDataFormat.java
@@ -0,0 +1,67 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe;
+
+import org.apache.spark.util.collection.SortDataFormat;
+
+final class UnsafeShuffleSortDataFormat extends SortDataFormat {
+
+ public static final UnsafeShuffleSortDataFormat INSTANCE = new UnsafeShuffleSortDataFormat();
+
+ private UnsafeShuffleSortDataFormat() { }
+
+ @Override
+ public PackedRecordPointer getKey(long[] data, int pos) {
+ // Since we re-use keys, this method shouldn't be called.
+ throw new UnsupportedOperationException();
+ }
+
+ @Override
+ public PackedRecordPointer newKey() {
+ return new PackedRecordPointer();
+ }
+
+ @Override
+ public PackedRecordPointer getKey(long[] data, int pos, PackedRecordPointer reuse) {
+ reuse.set(data[pos]);
+ return reuse;
+ }
+
+ @Override
+ public void swap(long[] data, int pos0, int pos1) {
+ final long temp = data[pos0];
+ data[pos0] = data[pos1];
+ data[pos1] = temp;
+ }
+
+ @Override
+ public void copyElement(long[] src, int srcPos, long[] dst, int dstPos) {
+ dst[dstPos] = src[srcPos];
+ }
+
+ @Override
+ public void copyRange(long[] src, int srcPos, long[] dst, int dstPos, int length) {
+ System.arraycopy(src, srcPos, dst, dstPos, length);
+ }
+
+ @Override
+ public long[] allocate(int length) {
+ return new long[length];
+ }
+
+}
diff --git a/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleWriter.java b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleWriter.java
new file mode 100644
index 0000000000000..ad7eb04afcd8c
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/shuffle/unsafe/UnsafeShuffleWriter.java
@@ -0,0 +1,438 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe;
+
+import java.io.*;
+import java.nio.channels.FileChannel;
+import java.util.Iterator;
+import javax.annotation.Nullable;
+
+import scala.Option;
+import scala.Product2;
+import scala.collection.JavaConversions;
+import scala.reflect.ClassTag;
+import scala.reflect.ClassTag$;
+
+import com.google.common.annotations.VisibleForTesting;
+import com.google.common.io.ByteStreams;
+import com.google.common.io.Closeables;
+import com.google.common.io.Files;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import org.apache.spark.*;
+import org.apache.spark.annotation.Private;
+import org.apache.spark.io.CompressionCodec;
+import org.apache.spark.io.CompressionCodec$;
+import org.apache.spark.io.LZFCompressionCodec;
+import org.apache.spark.executor.ShuffleWriteMetrics;
+import org.apache.spark.network.util.LimitedInputStream;
+import org.apache.spark.scheduler.MapStatus;
+import org.apache.spark.scheduler.MapStatus$;
+import org.apache.spark.serializer.SerializationStream;
+import org.apache.spark.serializer.Serializer;
+import org.apache.spark.serializer.SerializerInstance;
+import org.apache.spark.shuffle.IndexShuffleBlockResolver;
+import org.apache.spark.shuffle.ShuffleMemoryManager;
+import org.apache.spark.shuffle.ShuffleWriter;
+import org.apache.spark.storage.BlockManager;
+import org.apache.spark.storage.TimeTrackingOutputStream;
+import org.apache.spark.unsafe.PlatformDependent;
+import org.apache.spark.unsafe.memory.TaskMemoryManager;
+
+@Private
+public class UnsafeShuffleWriter extends ShuffleWriter {
+
+ private final Logger logger = LoggerFactory.getLogger(UnsafeShuffleWriter.class);
+
+ private static final ClassTag OBJECT_CLASS_TAG = ClassTag$.MODULE$.Object();
+
+ @VisibleForTesting
+ static final int INITIAL_SORT_BUFFER_SIZE = 4096;
+
+ private final BlockManager blockManager;
+ private final IndexShuffleBlockResolver shuffleBlockResolver;
+ private final TaskMemoryManager memoryManager;
+ private final ShuffleMemoryManager shuffleMemoryManager;
+ private final SerializerInstance serializer;
+ private final Partitioner partitioner;
+ private final ShuffleWriteMetrics writeMetrics;
+ private final int shuffleId;
+ private final int mapId;
+ private final TaskContext taskContext;
+ private final SparkConf sparkConf;
+ private final boolean transferToEnabled;
+
+ private MapStatus mapStatus = null;
+ private UnsafeShuffleExternalSorter sorter = null;
+
+ /** Subclass of ByteArrayOutputStream that exposes `buf` directly. */
+ private static final class MyByteArrayOutputStream extends ByteArrayOutputStream {
+ public MyByteArrayOutputStream(int size) { super(size); }
+ public byte[] getBuf() { return buf; }
+ }
+
+ private MyByteArrayOutputStream serBuffer;
+ private SerializationStream serOutputStream;
+
+ /**
+ * Are we in the process of stopping? Because map tasks can call stop() with success = true
+ * and then call stop() with success = false if they get an exception, we want to make sure
+ * we don't try deleting files, etc twice.
+ */
+ private boolean stopping = false;
+
+ public UnsafeShuffleWriter(
+ BlockManager blockManager,
+ IndexShuffleBlockResolver shuffleBlockResolver,
+ TaskMemoryManager memoryManager,
+ ShuffleMemoryManager shuffleMemoryManager,
+ UnsafeShuffleHandle handle,
+ int mapId,
+ TaskContext taskContext,
+ SparkConf sparkConf) throws IOException {
+ final int numPartitions = handle.dependency().partitioner().numPartitions();
+ if (numPartitions > UnsafeShuffleManager.MAX_SHUFFLE_OUTPUT_PARTITIONS()) {
+ throw new IllegalArgumentException(
+ "UnsafeShuffleWriter can only be used for shuffles with at most " +
+ UnsafeShuffleManager.MAX_SHUFFLE_OUTPUT_PARTITIONS() + " reduce partitions");
+ }
+ this.blockManager = blockManager;
+ this.shuffleBlockResolver = shuffleBlockResolver;
+ this.memoryManager = memoryManager;
+ this.shuffleMemoryManager = shuffleMemoryManager;
+ this.mapId = mapId;
+ final ShuffleDependency dep = handle.dependency();
+ this.shuffleId = dep.shuffleId();
+ this.serializer = Serializer.getSerializer(dep.serializer()).newInstance();
+ this.partitioner = dep.partitioner();
+ this.writeMetrics = new ShuffleWriteMetrics();
+ taskContext.taskMetrics().shuffleWriteMetrics_$eq(Option.apply(writeMetrics));
+ this.taskContext = taskContext;
+ this.sparkConf = sparkConf;
+ this.transferToEnabled = sparkConf.getBoolean("spark.file.transferTo", true);
+ open();
+ }
+
+ /**
+ * This convenience method should only be called in test code.
+ */
+ @VisibleForTesting
+ public void write(Iterator> records) throws IOException {
+ write(JavaConversions.asScalaIterator(records));
+ }
+
+ @Override
+ public void write(scala.collection.Iterator> records) throws IOException {
+ boolean success = false;
+ try {
+ while (records.hasNext()) {
+ insertRecordIntoSorter(records.next());
+ }
+ closeAndWriteOutput();
+ success = true;
+ } finally {
+ if (!success) {
+ sorter.cleanupAfterError();
+ }
+ }
+ }
+
+ private void open() throws IOException {
+ assert (sorter == null);
+ sorter = new UnsafeShuffleExternalSorter(
+ memoryManager,
+ shuffleMemoryManager,
+ blockManager,
+ taskContext,
+ INITIAL_SORT_BUFFER_SIZE,
+ partitioner.numPartitions(),
+ sparkConf,
+ writeMetrics);
+ serBuffer = new MyByteArrayOutputStream(1024 * 1024);
+ serOutputStream = serializer.serializeStream(serBuffer);
+ }
+
+ @VisibleForTesting
+ void closeAndWriteOutput() throws IOException {
+ serBuffer = null;
+ serOutputStream = null;
+ final SpillInfo[] spills = sorter.closeAndGetSpills();
+ sorter = null;
+ final long[] partitionLengths;
+ try {
+ partitionLengths = mergeSpills(spills);
+ } finally {
+ for (SpillInfo spill : spills) {
+ if (spill.file.exists() && ! spill.file.delete()) {
+ logger.error("Error while deleting spill file {}", spill.file.getPath());
+ }
+ }
+ }
+ shuffleBlockResolver.writeIndexFile(shuffleId, mapId, partitionLengths);
+ mapStatus = MapStatus$.MODULE$.apply(blockManager.shuffleServerId(), partitionLengths);
+ }
+
+ @VisibleForTesting
+ void insertRecordIntoSorter(Product2 record) throws IOException {
+ final K key = record._1();
+ final int partitionId = partitioner.getPartition(key);
+ serBuffer.reset();
+ serOutputStream.writeKey(key, OBJECT_CLASS_TAG);
+ serOutputStream.writeValue(record._2(), OBJECT_CLASS_TAG);
+ serOutputStream.flush();
+
+ final int serializedRecordSize = serBuffer.size();
+ assert (serializedRecordSize > 0);
+
+ sorter.insertRecord(
+ serBuffer.getBuf(), PlatformDependent.BYTE_ARRAY_OFFSET, serializedRecordSize, partitionId);
+ }
+
+ @VisibleForTesting
+ void forceSorterToSpill() throws IOException {
+ assert (sorter != null);
+ sorter.spill();
+ }
+
+ /**
+ * Merge zero or more spill files together, choosing the fastest merging strategy based on the
+ * number of spills and the IO compression codec.
+ *
+ * @return the partition lengths in the merged file.
+ */
+ private long[] mergeSpills(SpillInfo[] spills) throws IOException {
+ final File outputFile = shuffleBlockResolver.getDataFile(shuffleId, mapId);
+ final boolean compressionEnabled = sparkConf.getBoolean("spark.shuffle.compress", true);
+ final CompressionCodec compressionCodec = CompressionCodec$.MODULE$.createCodec(sparkConf);
+ final boolean fastMergeEnabled =
+ sparkConf.getBoolean("spark.shuffle.unsafe.fastMergeEnabled", true);
+ final boolean fastMergeIsSupported =
+ !compressionEnabled || compressionCodec instanceof LZFCompressionCodec;
+ try {
+ if (spills.length == 0) {
+ new FileOutputStream(outputFile).close(); // Create an empty file
+ return new long[partitioner.numPartitions()];
+ } else if (spills.length == 1) {
+ // Here, we don't need to perform any metrics updates because the bytes written to this
+ // output file would have already been counted as shuffle bytes written.
+ Files.move(spills[0].file, outputFile);
+ return spills[0].partitionLengths;
+ } else {
+ final long[] partitionLengths;
+ // There are multiple spills to merge, so none of these spill files' lengths were counted
+ // towards our shuffle write count or shuffle write time. If we use the slow merge path,
+ // then the final output file's size won't necessarily be equal to the sum of the spill
+ // files' sizes. To guard against this case, we look at the output file's actual size when
+ // computing shuffle bytes written.
+ //
+ // We allow the individual merge methods to report their own IO times since different merge
+ // strategies use different IO techniques. We count IO during merge towards the shuffle
+ // shuffle write time, which appears to be consistent with the "not bypassing merge-sort"
+ // branch in ExternalSorter.
+ if (fastMergeEnabled && fastMergeIsSupported) {
+ // Compression is disabled or we are using an IO compression codec that supports
+ // decompression of concatenated compressed streams, so we can perform a fast spill merge
+ // that doesn't need to interpret the spilled bytes.
+ if (transferToEnabled) {
+ logger.debug("Using transferTo-based fast merge");
+ partitionLengths = mergeSpillsWithTransferTo(spills, outputFile);
+ } else {
+ logger.debug("Using fileStream-based fast merge");
+ partitionLengths = mergeSpillsWithFileStream(spills, outputFile, null);
+ }
+ } else {
+ logger.debug("Using slow merge");
+ partitionLengths = mergeSpillsWithFileStream(spills, outputFile, compressionCodec);
+ }
+ // When closing an UnsafeShuffleExternalSorter that has already spilled once but also has
+ // in-memory records, we write out the in-memory records to a file but do not count that
+ // final write as bytes spilled (instead, it's accounted as shuffle write). The merge needs
+ // to be counted as shuffle write, but this will lead to double-counting of the final
+ // SpillInfo's bytes.
+ writeMetrics.decShuffleBytesWritten(spills[spills.length - 1].file.length());
+ writeMetrics.incShuffleBytesWritten(outputFile.length());
+ return partitionLengths;
+ }
+ } catch (IOException e) {
+ if (outputFile.exists() && !outputFile.delete()) {
+ logger.error("Unable to delete output file {}", outputFile.getPath());
+ }
+ throw e;
+ }
+ }
+
+ /**
+ * Merges spill files using Java FileStreams. This code path is slower than the NIO-based merge,
+ * {@link UnsafeShuffleWriter#mergeSpillsWithTransferTo(SpillInfo[], File)}, so it's only used in
+ * cases where the IO compression codec does not support concatenation of compressed data, or in
+ * cases where users have explicitly disabled use of {@code transferTo} in order to work around
+ * kernel bugs.
+ *
+ * @param spills the spills to merge.
+ * @param outputFile the file to write the merged data to.
+ * @param compressionCodec the IO compression codec, or null if shuffle compression is disabled.
+ * @return the partition lengths in the merged file.
+ */
+ private long[] mergeSpillsWithFileStream(
+ SpillInfo[] spills,
+ File outputFile,
+ @Nullable CompressionCodec compressionCodec) throws IOException {
+ assert (spills.length >= 2);
+ final int numPartitions = partitioner.numPartitions();
+ final long[] partitionLengths = new long[numPartitions];
+ final InputStream[] spillInputStreams = new FileInputStream[spills.length];
+ OutputStream mergedFileOutputStream = null;
+
+ boolean threwException = true;
+ try {
+ for (int i = 0; i < spills.length; i++) {
+ spillInputStreams[i] = new FileInputStream(spills[i].file);
+ }
+ for (int partition = 0; partition < numPartitions; partition++) {
+ final long initialFileLength = outputFile.length();
+ mergedFileOutputStream =
+ new TimeTrackingOutputStream(writeMetrics, new FileOutputStream(outputFile, true));
+ if (compressionCodec != null) {
+ mergedFileOutputStream = compressionCodec.compressedOutputStream(mergedFileOutputStream);
+ }
+
+ for (int i = 0; i < spills.length; i++) {
+ final long partitionLengthInSpill = spills[i].partitionLengths[partition];
+ if (partitionLengthInSpill > 0) {
+ InputStream partitionInputStream =
+ new LimitedInputStream(spillInputStreams[i], partitionLengthInSpill);
+ if (compressionCodec != null) {
+ partitionInputStream = compressionCodec.compressedInputStream(partitionInputStream);
+ }
+ ByteStreams.copy(partitionInputStream, mergedFileOutputStream);
+ }
+ }
+ mergedFileOutputStream.flush();
+ mergedFileOutputStream.close();
+ partitionLengths[partition] = (outputFile.length() - initialFileLength);
+ }
+ threwException = false;
+ } finally {
+ // To avoid masking exceptions that caused us to prematurely enter the finally block, only
+ // throw exceptions during cleanup if threwException == false.
+ for (InputStream stream : spillInputStreams) {
+ Closeables.close(stream, threwException);
+ }
+ Closeables.close(mergedFileOutputStream, threwException);
+ }
+ return partitionLengths;
+ }
+
+ /**
+ * Merges spill files by using NIO's transferTo to concatenate spill partitions' bytes.
+ * This is only safe when the IO compression codec and serializer support concatenation of
+ * serialized streams.
+ *
+ * @return the partition lengths in the merged file.
+ */
+ private long[] mergeSpillsWithTransferTo(SpillInfo[] spills, File outputFile) throws IOException {
+ assert (spills.length >= 2);
+ final int numPartitions = partitioner.numPartitions();
+ final long[] partitionLengths = new long[numPartitions];
+ final FileChannel[] spillInputChannels = new FileChannel[spills.length];
+ final long[] spillInputChannelPositions = new long[spills.length];
+ FileChannel mergedFileOutputChannel = null;
+
+ boolean threwException = true;
+ try {
+ for (int i = 0; i < spills.length; i++) {
+ spillInputChannels[i] = new FileInputStream(spills[i].file).getChannel();
+ }
+ // This file needs to opened in append mode in order to work around a Linux kernel bug that
+ // affects transferTo; see SPARK-3948 for more details.
+ mergedFileOutputChannel = new FileOutputStream(outputFile, true).getChannel();
+
+ long bytesWrittenToMergedFile = 0;
+ for (int partition = 0; partition < numPartitions; partition++) {
+ for (int i = 0; i < spills.length; i++) {
+ final long partitionLengthInSpill = spills[i].partitionLengths[partition];
+ long bytesToTransfer = partitionLengthInSpill;
+ final FileChannel spillInputChannel = spillInputChannels[i];
+ final long writeStartTime = System.nanoTime();
+ while (bytesToTransfer > 0) {
+ final long actualBytesTransferred = spillInputChannel.transferTo(
+ spillInputChannelPositions[i],
+ bytesToTransfer,
+ mergedFileOutputChannel);
+ spillInputChannelPositions[i] += actualBytesTransferred;
+ bytesToTransfer -= actualBytesTransferred;
+ }
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - writeStartTime);
+ bytesWrittenToMergedFile += partitionLengthInSpill;
+ partitionLengths[partition] += partitionLengthInSpill;
+ }
+ }
+ // Check the position after transferTo loop to see if it is in the right position and raise an
+ // exception if it is incorrect. The position will not be increased to the expected length
+ // after calling transferTo in kernel version 2.6.32. This issue is described at
+ // https://bugs.openjdk.java.net/browse/JDK-7052359 and SPARK-3948.
+ if (mergedFileOutputChannel.position() != bytesWrittenToMergedFile) {
+ throw new IOException(
+ "Current position " + mergedFileOutputChannel.position() + " does not equal expected " +
+ "position " + bytesWrittenToMergedFile + " after transferTo. Please check your kernel" +
+ " version to see if it is 2.6.32, as there is a kernel bug which will lead to " +
+ "unexpected behavior when using transferTo. You can set spark.file.transferTo=false " +
+ "to disable this NIO feature."
+ );
+ }
+ threwException = false;
+ } finally {
+ // To avoid masking exceptions that caused us to prematurely enter the finally block, only
+ // throw exceptions during cleanup if threwException == false.
+ for (int i = 0; i < spills.length; i++) {
+ assert(spillInputChannelPositions[i] == spills[i].file.length());
+ Closeables.close(spillInputChannels[i], threwException);
+ }
+ Closeables.close(mergedFileOutputChannel, threwException);
+ }
+ return partitionLengths;
+ }
+
+ @Override
+ public Option stop(boolean success) {
+ try {
+ if (stopping) {
+ return Option.apply(null);
+ } else {
+ stopping = true;
+ if (success) {
+ if (mapStatus == null) {
+ throw new IllegalStateException("Cannot call stop(true) without having called write()");
+ }
+ return Option.apply(mapStatus);
+ } else {
+ // The map task failed, so delete our output data.
+ shuffleBlockResolver.removeDataByMap(shuffleId, mapId);
+ return Option.apply(null);
+ }
+ }
+ } finally {
+ if (sorter != null) {
+ // If sorter is non-null, then this implies that we called stop() in response to an error,
+ // so we need to clean up memory and spill files created by the sorter
+ sorter.cleanupAfterError();
+ }
+ }
+ }
+}
diff --git a/core/src/main/java/org/apache/spark/status/api/v1/ApplicationStatus.java b/core/src/main/java/org/apache/spark/status/api/v1/ApplicationStatus.java
new file mode 100644
index 0000000000000..8c7dcf776fda8
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/status/api/v1/ApplicationStatus.java
@@ -0,0 +1,30 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.status.api.v1;
+
+import org.apache.spark.util.EnumUtil;
+
+public enum ApplicationStatus {
+ COMPLETED,
+ RUNNING;
+
+ public static ApplicationStatus fromString(String str) {
+ return EnumUtil.parseIgnoreCase(ApplicationStatus.class, str);
+ }
+
+}
diff --git a/core/src/main/java/org/apache/spark/status/api/v1/StageStatus.java b/core/src/main/java/org/apache/spark/status/api/v1/StageStatus.java
new file mode 100644
index 0000000000000..9dbb565aab707
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/status/api/v1/StageStatus.java
@@ -0,0 +1,31 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.status.api.v1;
+
+import org.apache.spark.util.EnumUtil;
+
+public enum StageStatus {
+ ACTIVE,
+ COMPLETE,
+ FAILED,
+ PENDING;
+
+ public static StageStatus fromString(String str) {
+ return EnumUtil.parseIgnoreCase(StageStatus.class, str);
+ }
+}
diff --git a/core/src/main/java/org/apache/spark/status/api/v1/TaskSorting.java b/core/src/main/java/org/apache/spark/status/api/v1/TaskSorting.java
new file mode 100644
index 0000000000000..f19ed01d5aebf
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/status/api/v1/TaskSorting.java
@@ -0,0 +1,48 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.status.api.v1;
+
+import org.apache.spark.util.EnumUtil;
+
+import java.util.HashSet;
+import java.util.Set;
+
+public enum TaskSorting {
+ ID,
+ INCREASING_RUNTIME("runtime"),
+ DECREASING_RUNTIME("-runtime");
+
+ private final Set alternateNames;
+ private TaskSorting(String... names) {
+ alternateNames = new HashSet();
+ for (String n: names) {
+ alternateNames.add(n);
+ }
+ }
+
+ public static TaskSorting fromString(String str) {
+ String lower = str.toLowerCase();
+ for (TaskSorting t: values()) {
+ if (t.alternateNames.contains(lower)) {
+ return t;
+ }
+ }
+ return EnumUtil.parseIgnoreCase(TaskSorting.class, str);
+ }
+
+}
diff --git a/core/src/main/java/org/apache/spark/storage/TimeTrackingOutputStream.java b/core/src/main/java/org/apache/spark/storage/TimeTrackingOutputStream.java
new file mode 100644
index 0000000000000..dc2aa30466cc6
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/storage/TimeTrackingOutputStream.java
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.storage;
+
+import java.io.IOException;
+import java.io.OutputStream;
+
+import org.apache.spark.annotation.Private;
+import org.apache.spark.executor.ShuffleWriteMetrics;
+
+/**
+ * Intercepts write calls and tracks total time spent writing in order to update shuffle write
+ * metrics. Not thread safe.
+ */
+@Private
+public final class TimeTrackingOutputStream extends OutputStream {
+
+ private final ShuffleWriteMetrics writeMetrics;
+ private final OutputStream outputStream;
+
+ public TimeTrackingOutputStream(ShuffleWriteMetrics writeMetrics, OutputStream outputStream) {
+ this.writeMetrics = writeMetrics;
+ this.outputStream = outputStream;
+ }
+
+ @Override
+ public void write(int b) throws IOException {
+ final long startTime = System.nanoTime();
+ outputStream.write(b);
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - startTime);
+ }
+
+ @Override
+ public void write(byte[] b) throws IOException {
+ final long startTime = System.nanoTime();
+ outputStream.write(b);
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - startTime);
+ }
+
+ @Override
+ public void write(byte[] b, int off, int len) throws IOException {
+ final long startTime = System.nanoTime();
+ outputStream.write(b, off, len);
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - startTime);
+ }
+
+ @Override
+ public void flush() throws IOException {
+ final long startTime = System.nanoTime();
+ outputStream.flush();
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - startTime);
+ }
+
+ @Override
+ public void close() throws IOException {
+ final long startTime = System.nanoTime();
+ outputStream.close();
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - startTime);
+ }
+}
diff --git a/core/src/main/java/org/apache/spark/util/EnumUtil.java b/core/src/main/java/org/apache/spark/util/EnumUtil.java
new file mode 100644
index 0000000000000..c40c7e727613c
--- /dev/null
+++ b/core/src/main/java/org/apache/spark/util/EnumUtil.java
@@ -0,0 +1,38 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.util;
+
+import com.google.common.base.Joiner;
+import org.apache.spark.annotation.Private;
+
+@Private
+public class EnumUtil {
+ public static > E parseIgnoreCase(Class clz, String str) {
+ E[] constants = clz.getEnumConstants();
+ if (str == null) {
+ return null;
+ }
+ for (E e : constants) {
+ if (e.name().equalsIgnoreCase(str)) {
+ return e;
+ }
+ }
+ throw new IllegalArgumentException(
+ String.format("Illegal type='%s'. Supported type values: %s",
+ str, Joiner.on(", ").join(constants)));
+ }
+}
diff --git a/core/src/main/resources/org/apache/spark/ui/static/dagre-d3.min.js b/core/src/main/resources/org/apache/spark/ui/static/dagre-d3.min.js
index 6beb7db855ca0..2d9262b972a59 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/dagre-d3.min.js
+++ b/core/src/main/resources/org/apache/spark/ui/static/dagre-d3.min.js
@@ -1,4 +1,4 @@
-!function(e){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=e();else if("function"==typeof define&&define.amd)define([],e);else{var f;"undefined"!=typeof window?f=window:"undefined"!=typeof global?f=global:"undefined"!=typeof self&&(f=self),f.dagreD3=e()}}(function(){var define,module,exports;return function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o0}},{}],14:[function(require,module,exports){module.exports=intersectNode;function intersectNode(node,point){return node.intersect(point)}},{}],15:[function(require,module,exports){var intersectLine=require("./intersect-line");module.exports=intersectPolygon;function intersectPolygon(node,polyPoints,point){var x1=node.x;var y1=node.y;var intersections=[];var minX=Number.POSITIVE_INFINITY,minY=Number.POSITIVE_INFINITY;polyPoints.forEach(function(entry){minX=Math.min(minX,entry.x);minY=Math.min(minY,entry.y)});var left=x1-node.width/2-minX;var top=y1-node.height/2-minY;for(var i=0;i1){intersections.sort(function(p,q){var pdx=p.x-point.x,pdy=p.y-point.y,distp=Math.sqrt(pdx*pdx+pdy*pdy),qdx=q.x-point.x,qdy=q.y-point.y,distq=Math.sqrt(qdx*qdx+qdy*qdy);return distpMath.abs(dx)*h){if(dy<0){h=-h}sx=dy===0?0:h*dx/dy;sy=h}else{if(dx<0){w=-w}sx=w;sy=dx===0?0:w*dy/dx}return{x:x+sx,y:y+sy}}},{}],17:[function(require,module,exports){var util=require("../util");module.exports=addHtmlLabel;function addHtmlLabel(root,node){var fo=root.append("foreignObject").attr("width","100000");var div=fo.append("xhtml:div");var label=node.label;switch(typeof label){case"function":div.insert(label);break;case"object":div.insert(function(){return label});break;default:div.html(label)}util.applyStyle(div,node.labelStyle);div.style("display","inline-block");div.style("white-space","nowrap");var w,h;div.each(function(){w=this.clientWidth;h=this.clientHeight});fo.attr("width",w).attr("height",h);return fo}},{"../util":25}],18:[function(require,module,exports){var addTextLabel=require("./add-text-label"),addHtmlLabel=require("./add-html-label");module.exports=addLabel;function addLabel(root,node){var label=node.label;var labelSvg=root.append("g");if(typeof label!=="string"||node.labelType==="html"){addHtmlLabel(labelSvg,node)}else{addTextLabel(labelSvg,node)}var labelBBox=labelSvg.node().getBBox();labelSvg.attr("transform","translate("+-labelBBox.width/2+","+-labelBBox.height/2+")");return labelSvg}},{"./add-html-label":17,"./add-text-label":19}],19:[function(require,module,exports){var util=require("../util");module.exports=addTextLabel;function addTextLabel(root,node){var domNode=root.append("text");var lines=processEscapeSequences(node.label).split("\n");for(var i=0;i0;--i){entry=buckets[i].dequeue();if(entry){results=results.concat(removeNode(g,buckets,zeroIdx,entry,true));break}}}}return results}function removeNode(g,buckets,zeroIdx,entry,collectPredecessors){var results=collectPredecessors?[]:undefined;_.each(g.inEdges(entry.v),function(edge){var weight=g.edge(edge),uEntry=g.node(edge.v);if(collectPredecessors){results.push({v:edge.v,w:edge.w})}uEntry.out-=weight;assignBucket(buckets,zeroIdx,uEntry)});_.each(g.outEdges(entry.v),function(edge){var weight=g.edge(edge),w=edge.w,wEntry=g.node(w);wEntry["in"]-=weight;assignBucket(buckets,zeroIdx,wEntry)});g.removeNode(entry.v);return results}function buildState(g,weightFn){var fasGraph=new Graph,maxIn=0,maxOut=0;_.each(g.nodes(),function(v){fasGraph.setNode(v,{v:v,"in":0,out:0})});_.each(g.edges(),function(e){var prevWeight=fasGraph.edge(e.v,e.w)||0,weight=weightFn(e),edgeWeight=prevWeight+weight;fasGraph.setEdge(e.v,e.w,edgeWeight);maxOut=Math.max(maxOut,fasGraph.node(e.v).out+=weight);maxIn=Math.max(maxIn,fasGraph.node(e.w)["in"]+=weight)});var buckets=_.range(maxOut+maxIn+3).map(function(){return new List});var zeroIdx=maxIn+1;_.each(fasGraph.nodes(),function(v){assignBucket(buckets,zeroIdx,fasGraph.node(v))});return{graph:fasGraph,buckets:buckets,zeroIdx:zeroIdx}}function assignBucket(buckets,zeroIdx,entry){if(!entry.out){buckets[0].enqueue(entry)}else if(!entry["in"]){buckets[buckets.length-1].enqueue(entry)}else{buckets[entry.out-entry["in"]+zeroIdx].enqueue(entry)}}},{"./data/list":31,"./graphlib":33,"./lodash":36}],35:[function(require,module,exports){"use strict";var _=require("./lodash"),acyclic=require("./acyclic"),normalize=require("./normalize"),rank=require("./rank"),normalizeRanks=require("./util").normalizeRanks,parentDummyChains=require("./parent-dummy-chains"),removeEmptyRanks=require("./util").removeEmptyRanks,nestingGraph=require("./nesting-graph"),addBorderSegments=require("./add-border-segments"),coordinateSystem=require("./coordinate-system"),order=require("./order"),position=require("./position"),util=require("./util"),Graph=require("./graphlib").Graph;module.exports=layout;function layout(g,opts){var time=opts&&opts.debugTiming?util.time:util.notime;time("layout",function(){var layoutGraph=time(" buildLayoutGraph",function(){return buildLayoutGraph(g)});time(" runLayout",function(){runLayout(layoutGraph,time)});time(" updateInputGraph",function(){updateInputGraph(g,layoutGraph)})})}function runLayout(g,time){time(" makeSpaceForEdgeLabels",function(){makeSpaceForEdgeLabels(g)});time(" removeSelfEdges",function(){removeSelfEdges(g)});time(" acyclic",function(){acyclic.run(g)});time(" nestingGraph.run",function(){nestingGraph.run(g)});time(" rank",function(){rank(util.asNonCompoundGraph(g))});time(" injectEdgeLabelProxies",function(){injectEdgeLabelProxies(g)});time(" removeEmptyRanks",function(){removeEmptyRanks(g)});time(" nestingGraph.cleanup",function(){nestingGraph.cleanup(g)});time(" normalizeRanks",function(){normalizeRanks(g)});time(" assignRankMinMax",function(){assignRankMinMax(g)});time(" removeEdgeLabelProxies",function(){removeEdgeLabelProxies(g)});time(" normalize.run",function(){normalize.run(g)});time(" parentDummyChains",function(){parentDummyChains(g)});time(" addBorderSegments",function(){addBorderSegments(g)});time(" order",function(){order(g)});time(" insertSelfEdges",function(){insertSelfEdges(g)});time(" adjustCoordinateSystem",function(){coordinateSystem.adjust(g)});time(" position",function(){position(g)});time(" positionSelfEdges",function(){positionSelfEdges(g)});time(" removeBorderNodes",function(){removeBorderNodes(g)});time(" normalize.undo",function(){normalize.undo(g)});time(" fixupEdgeLabelCoords",function(){fixupEdgeLabelCoords(g)});time(" undoCoordinateSystem",function(){coordinateSystem.undo(g)});time(" translateGraph",function(){translateGraph(g)});time(" assignNodeIntersects",function(){assignNodeIntersects(g)});time(" reversePoints",function(){reversePointsForReversedEdges(g)});time(" acyclic.undo",function(){acyclic.undo(g)})}function updateInputGraph(inputGraph,layoutGraph){_.each(inputGraph.nodes(),function(v){var inputLabel=inputGraph.node(v),layoutLabel=layoutGraph.node(v);if(inputLabel){inputLabel.x=layoutLabel.x;inputLabel.y=layoutLabel.y;if(layoutGraph.children(v).length){inputLabel.width=layoutLabel.width;inputLabel.height=layoutLabel.height}}});_.each(inputGraph.edges(),function(e){var inputLabel=inputGraph.edge(e),layoutLabel=layoutGraph.edge(e);inputLabel.points=layoutLabel.points;if(_.has(layoutLabel,"x")){inputLabel.x=layoutLabel.x;inputLabel.y=layoutLabel.y}});inputGraph.graph().width=layoutGraph.graph().width;inputGraph.graph().height=layoutGraph.graph().height}var graphNumAttrs=["nodesep","edgesep","ranksep","marginx","marginy"],graphDefaults={ranksep:50,edgesep:20,nodesep:50,rankdir:"tb"},graphAttrs=["acyclicer","ranker","rankdir","align"],nodeNumAttrs=["width","height"],nodeDefaults={width:0,height:0},edgeNumAttrs=["minlen","weight","width","height","labeloffset"],edgeDefaults={minlen:1,weight:1,width:0,height:0,labeloffset:10,labelpos:"r"},edgeAttrs=["labelpos"];function buildLayoutGraph(inputGraph){var g=new Graph({multigraph:true,compound:true}),graph=canonicalize(inputGraph.graph());g.setGraph(_.merge({},graphDefaults,selectNumberAttrs(graph,graphNumAttrs),_.pick(graph,graphAttrs)));
+module.exports={graphlib:require("./lib/graphlib"),dagre:require("./lib/dagre"),intersect:require("./lib/intersect"),render:require("./lib/render"),util:require("./lib/util"),version:require("./lib/version")}},{"./lib/dagre":8,"./lib/graphlib":9,"./lib/intersect":10,"./lib/render":23,"./lib/util":25,"./lib/version":26}],2:[function(require,module,exports){var util=require("./util");module.exports={"default":normal,normal:normal,vee:vee,undirected:undirected};function normal(parent,id,edge,type){var marker=parent.append("marker").attr("id",id).attr("viewBox","0 0 10 10").attr("refX",9).attr("refY",5).attr("markerUnits","strokeWidth").attr("markerWidth",8).attr("markerHeight",6).attr("orient","auto");var path=marker.append("path").attr("d","M 0 0 L 10 5 L 0 10 z").style("stroke-width",1).style("stroke-dasharray","1,0");util.applyStyle(path,edge[type+"Style"])}function vee(parent,id,edge,type){var marker=parent.append("marker").attr("id",id).attr("viewBox","0 0 10 10").attr("refX",9).attr("refY",5).attr("markerUnits","strokeWidth").attr("markerWidth",8).attr("markerHeight",6).attr("orient","auto");var path=marker.append("path").attr("d","M 0 0 L 10 5 L 0 10 L 4 5 z").style("stroke-width",1).style("stroke-dasharray","1,0");util.applyStyle(path,edge[type+"Style"])}function undirected(parent,id,edge,type){var marker=parent.append("marker").attr("id",id).attr("viewBox","0 0 10 10").attr("refX",9).attr("refY",5).attr("markerUnits","strokeWidth").attr("markerWidth",8).attr("markerHeight",6).attr("orient","auto");var path=marker.append("path").attr("d","M 0 5 L 10 5").style("stroke-width",1).style("stroke-dasharray","1,0");util.applyStyle(path,edge[type+"Style"])}},{"./util":25}],3:[function(require,module,exports){var _=require("./lodash"),addLabel=require("./label/add-label"),util=require("./util");module.exports=createClusters;function createClusters(selection,g){var clusters=g.nodes().filter(function(v){return util.isSubgraph(g,v)}),svgClusters=selection.selectAll("g.cluster").data(clusters,function(v){return v});var makeClusterIdentifier=function(v){return"cluster_"+v.replace(/^cluster/,"")};svgClusters.enter().append("g").attr("class",makeClusterIdentifier).attr("name",function(v){return g.node(v).label}).classed("cluster",true).style("opacity",0).append("rect");var sortedClusters=util.orderByRank(g,svgClusters.data());for(var i=0;i0}},{}],14:[function(require,module,exports){module.exports=intersectNode;function intersectNode(node,point){return node.intersect(point)}},{}],15:[function(require,module,exports){var intersectLine=require("./intersect-line");module.exports=intersectPolygon;function intersectPolygon(node,polyPoints,point){var x1=node.x;var y1=node.y;var intersections=[];var minX=Number.POSITIVE_INFINITY,minY=Number.POSITIVE_INFINITY;polyPoints.forEach(function(entry){minX=Math.min(minX,entry.x);minY=Math.min(minY,entry.y)});var left=x1-node.width/2-minX;var top=y1-node.height/2-minY;for(var i=0;i1){intersections.sort(function(p,q){var pdx=p.x-point.x,pdy=p.y-point.y,distp=Math.sqrt(pdx*pdx+pdy*pdy),qdx=q.x-point.x,qdy=q.y-point.y,distq=Math.sqrt(qdx*qdx+qdy*qdy);return distpMath.abs(dx)*h){if(dy<0){h=-h}sx=dy===0?0:h*dx/dy;sy=h}else{if(dx<0){w=-w}sx=w;sy=dx===0?0:w*dy/dx}return{x:x+sx,y:y+sy}}},{}],17:[function(require,module,exports){var util=require("../util");module.exports=addHtmlLabel;function addHtmlLabel(root,node){var fo=root.append("foreignObject").attr("width","100000");var div=fo.append("xhtml:div");var label=node.label;switch(typeof label){case"function":div.insert(label);break;case"object":div.insert(function(){return label});break;default:div.html(label)}util.applyStyle(div,node.labelStyle);div.style("display","inline-block");div.style("white-space","nowrap");var w,h;div.each(function(){w=this.clientWidth;h=this.clientHeight});fo.attr("width",w).attr("height",h);return fo}},{"../util":25}],18:[function(require,module,exports){var addTextLabel=require("./add-text-label"),addHtmlLabel=require("./add-html-label");module.exports=addLabel;function addLabel(root,node){var label=node.label;var labelSvg=root.append("g");if(typeof label!=="string"||node.labelType==="html"){addHtmlLabel(labelSvg,node)}else{addTextLabel(labelSvg,node)}var labelBBox=labelSvg.node().getBBox();labelSvg.attr("transform","translate("+-labelBBox.width/2+","+-labelBBox.height/2+")");return labelSvg}},{"./add-html-label":17,"./add-text-label":19}],19:[function(require,module,exports){var util=require("../util");module.exports=addTextLabel;function addTextLabel(root,node){var domNode=root.append("text");var lines=processEscapeSequences(node.label).split("\n");for(var i=0;imaxPadding){maxPadding=child.paddingTop}}return maxPadding}function getRank(g,v){var maxRank=0;var children=g.children(v);for(var i=0;imaxRank){maxRank=thisRank}}return maxRank}function orderByRank(g,nodes){return nodes.sort(function(x,y){return getRank(g,x)-getRank(g,y)})}function edgeToId(e){return escapeId(e.v)+":"+escapeId(e.w)+":"+escapeId(e.name)}var ID_DELIM=/:/g;function escapeId(str){return str?String(str).replace(ID_DELIM,"\\:"):""}function applyStyle(dom,styleFn){if(styleFn){dom.attr("style",styleFn)}}function applyClass(dom,classFn,otherClasses){if(classFn){dom.attr("class",classFn).attr("class",otherClasses+" "+dom.attr("class"))}}function applyTransition(selection,g){var graph=g.graph();if(_.isPlainObject(graph)){var transition=graph.transition;if(_.isFunction(transition)){return transition(selection)}}return selection}},{"./lodash":20}],26:[function(require,module,exports){module.exports="0.4.4-pre"},{}],27:[function(require,module,exports){module.exports={graphlib:require("./lib/graphlib"),layout:require("./lib/layout"),debug:require("./lib/debug"),util:{time:require("./lib/util").time,notime:require("./lib/util").notime},version:require("./lib/version")}},{"./lib/debug":32,"./lib/graphlib":33,"./lib/layout":35,"./lib/util":55,"./lib/version":56}],28:[function(require,module,exports){"use strict";var _=require("./lodash"),greedyFAS=require("./greedy-fas");module.exports={run:run,undo:undo};function run(g){var fas=g.graph().acyclicer==="greedy"?greedyFAS(g,weightFn(g)):dfsFAS(g);_.each(fas,function(e){var label=g.edge(e);g.removeEdge(e);label.forwardName=e.name;label.reversed=true;g.setEdge(e.w,e.v,label,_.uniqueId("rev"))});function weightFn(g){return function(e){return g.edge(e).weight}}}function dfsFAS(g){var fas=[],stack={},visited={};function dfs(v){if(_.has(visited,v)){return}visited[v]=true;stack[v]=true;_.each(g.outEdges(v),function(e){if(_.has(stack,e.w)){fas.push(e)}else{dfs(e.w)}});delete stack[v]}_.each(g.nodes(),dfs);return fas}function undo(g){_.each(g.edges(),function(e){var label=g.edge(e);if(label.reversed){g.removeEdge(e);var forwardName=label.forwardName;delete label.reversed;delete label.forwardName;g.setEdge(e.w,e.v,label,forwardName)}})}},{"./greedy-fas":34,"./lodash":36}],29:[function(require,module,exports){var _=require("./lodash"),util=require("./util");module.exports=addBorderSegments;function addBorderSegments(g){function dfs(v){var children=g.children(v),node=g.node(v);if(children.length){_.each(children,dfs)}if(_.has(node,"minRank")){node.borderLeft=[];node.borderRight=[];for(var rank=node.minRank,maxRank=node.maxRank+1;rank0;--i){entry=buckets[i].dequeue();if(entry){results=results.concat(removeNode(g,buckets,zeroIdx,entry,true));break}}}}return results}function removeNode(g,buckets,zeroIdx,entry,collectPredecessors){var results=collectPredecessors?[]:undefined;_.each(g.inEdges(entry.v),function(edge){var weight=g.edge(edge),uEntry=g.node(edge.v);if(collectPredecessors){results.push({v:edge.v,w:edge.w})}uEntry.out-=weight;assignBucket(buckets,zeroIdx,uEntry)});_.each(g.outEdges(entry.v),function(edge){var weight=g.edge(edge),w=edge.w,wEntry=g.node(w);wEntry["in"]-=weight;assignBucket(buckets,zeroIdx,wEntry)});g.removeNode(entry.v);return results}function buildState(g,weightFn){var fasGraph=new Graph,maxIn=0,maxOut=0;_.each(g.nodes(),function(v){fasGraph.setNode(v,{v:v,"in":0,out:0})});_.each(g.edges(),function(e){var prevWeight=fasGraph.edge(e.v,e.w)||0,weight=weightFn(e),edgeWeight=prevWeight+weight;fasGraph.setEdge(e.v,e.w,edgeWeight);maxOut=Math.max(maxOut,fasGraph.node(e.v).out+=weight);maxIn=Math.max(maxIn,fasGraph.node(e.w)["in"]+=weight)});var buckets=_.range(maxOut+maxIn+3).map(function(){return new List});var zeroIdx=maxIn+1;_.each(fasGraph.nodes(),function(v){assignBucket(buckets,zeroIdx,fasGraph.node(v))});return{graph:fasGraph,buckets:buckets,zeroIdx:zeroIdx}}function assignBucket(buckets,zeroIdx,entry){if(!entry.out){buckets[0].enqueue(entry)}else if(!entry["in"]){buckets[buckets.length-1].enqueue(entry)}else{buckets[entry.out-entry["in"]+zeroIdx].enqueue(entry)}}},{"./data/list":31,"./graphlib":33,"./lodash":36}],35:[function(require,module,exports){"use strict";var _=require("./lodash"),acyclic=require("./acyclic"),normalize=require("./normalize"),rank=require("./rank"),normalizeRanks=require("./util").normalizeRanks,parentDummyChains=require("./parent-dummy-chains"),removeEmptyRanks=require("./util").removeEmptyRanks,nestingGraph=require("./nesting-graph"),addBorderSegments=require("./add-border-segments"),coordinateSystem=require("./coordinate-system"),order=require("./order"),position=require("./position"),util=require("./util"),Graph=require("./graphlib").Graph;module.exports=layout;function layout(g,opts){var time=opts&&opts.debugTiming?util.time:util.notime;time("layout",function(){var layoutGraph=time(" buildLayoutGraph",function(){return buildLayoutGraph(g)});time(" runLayout",function(){runLayout(layoutGraph,time)});time(" updateInputGraph",function(){updateInputGraph(g,layoutGraph)})})}function runLayout(g,time){time(" makeSpaceForEdgeLabels",function(){makeSpaceForEdgeLabels(g)});time(" removeSelfEdges",function(){removeSelfEdges(g)});time(" acyclic",function(){acyclic.run(g)});time(" nestingGraph.run",function(){nestingGraph.run(g)});time(" rank",function(){rank(util.asNonCompoundGraph(g))});time(" injectEdgeLabelProxies",function(){injectEdgeLabelProxies(g)});time(" removeEmptyRanks",function(){removeEmptyRanks(g)});time(" nestingGraph.cleanup",function(){nestingGraph.cleanup(g)});time(" normalizeRanks",function(){normalizeRanks(g)});time(" assignRankMinMax",function(){assignRankMinMax(g)});time(" removeEdgeLabelProxies",function(){removeEdgeLabelProxies(g)});time(" normalize.run",function(){normalize.run(g)});time(" parentDummyChains",function(){
+parentDummyChains(g)});time(" addBorderSegments",function(){addBorderSegments(g)});time(" order",function(){order(g)});time(" insertSelfEdges",function(){insertSelfEdges(g)});time(" adjustCoordinateSystem",function(){coordinateSystem.adjust(g)});time(" position",function(){position(g)});time(" positionSelfEdges",function(){positionSelfEdges(g)});time(" removeBorderNodes",function(){removeBorderNodes(g)});time(" normalize.undo",function(){normalize.undo(g)});time(" fixupEdgeLabelCoords",function(){fixupEdgeLabelCoords(g)});time(" undoCoordinateSystem",function(){coordinateSystem.undo(g)});time(" translateGraph",function(){translateGraph(g)});time(" assignNodeIntersects",function(){assignNodeIntersects(g)});time(" reversePoints",function(){reversePointsForReversedEdges(g)});time(" acyclic.undo",function(){acyclic.undo(g)})}function updateInputGraph(inputGraph,layoutGraph){_.each(inputGraph.nodes(),function(v){var inputLabel=inputGraph.node(v),layoutLabel=layoutGraph.node(v);if(inputLabel){inputLabel.x=layoutLabel.x;inputLabel.y=layoutLabel.y;if(layoutGraph.children(v).length){inputLabel.width=layoutLabel.width;inputLabel.height=layoutLabel.height}}});_.each(inputGraph.edges(),function(e){var inputLabel=inputGraph.edge(e),layoutLabel=layoutGraph.edge(e);inputLabel.points=layoutLabel.points;if(_.has(layoutLabel,"x")){inputLabel.x=layoutLabel.x;inputLabel.y=layoutLabel.y}});inputGraph.graph().width=layoutGraph.graph().width;inputGraph.graph().height=layoutGraph.graph().height}var graphNumAttrs=["nodesep","edgesep","ranksep","marginx","marginy"],graphDefaults={ranksep:50,edgesep:20,nodesep:50,rankdir:"tb"},graphAttrs=["acyclicer","ranker","rankdir","align"],nodeNumAttrs=["width","height"],nodeDefaults={width:0,height:0},edgeNumAttrs=["minlen","weight","width","height","labeloffset"],edgeDefaults={minlen:1,weight:1,width:0,height:0,labeloffset:10,labelpos:"r"},edgeAttrs=["labelpos"];function buildLayoutGraph(inputGraph){var g=new Graph({multigraph:true,compound:true}),graph=canonicalize(inputGraph.graph());g.setGraph(_.merge({},graphDefaults,selectNumberAttrs(graph,graphNumAttrs),_.pick(graph,graphAttrs)));_.each(inputGraph.nodes(),function(v){var node=canonicalize(inputGraph.node(v));g.setNode(v,_.defaults(selectNumberAttrs(node,nodeNumAttrs),nodeDefaults));g.setParent(v,inputGraph.parent(v))});_.each(inputGraph.edges(),function(e){var edge=canonicalize(inputGraph.edge(e));g.setEdge(e,_.merge({},edgeDefaults,selectNumberAttrs(edge,edgeNumAttrs),_.pick(edge,edgeAttrs)))});return g}function makeSpaceForEdgeLabels(g){var graph=g.graph();graph.ranksep/=2;_.each(g.edges(),function(e){var edge=g.edge(e);edge.minlen*=2;if(edge.labelpos.toLowerCase()!=="c"){if(graph.rankdir==="TB"||graph.rankdir==="BT"){edge.width+=edge.labeloffset}else{edge.height+=edge.labeloffset}}})}function injectEdgeLabelProxies(g){_.each(g.edges(),function(e){var edge=g.edge(e);if(edge.width&&edge.height){var v=g.node(e.v),w=g.node(e.w),label={rank:(w.rank-v.rank)/2+v.rank,e:e};util.addDummyNode(g,"edge-proxy",label,"_ep")}})}function assignRankMinMax(g){var maxRank=0;_.each(g.nodes(),function(v){var node=g.node(v);if(node.borderTop){node.minRank=g.node(node.borderTop).rank;node.maxRank=g.node(node.borderBottom).rank;maxRank=_.max(maxRank,node.maxRank)}});g.graph().maxRank=maxRank}function removeEdgeLabelProxies(g){_.each(g.nodes(),function(v){var node=g.node(v);if(node.dummy==="edge-proxy"){g.edge(node.e).labelRank=node.rank;g.removeNode(v)}})}function translateGraph(g){var minX=Number.POSITIVE_INFINITY,maxX=0,minY=Number.POSITIVE_INFINITY,maxY=0,graphLabel=g.graph(),marginX=graphLabel.marginx||0,marginY=graphLabel.marginy||0;function getExtremes(attrs){var x=attrs.x,y=attrs.y,w=attrs.width,h=attrs.height;minX=Math.min(minX,x-w/2);maxX=Math.max(maxX,x+w/2);minY=Math.min(minY,y-h/2);maxY=Math.max(maxY,y+h/2)}_.each(g.nodes(),function(v){getExtremes(g.node(v))});_.each(g.edges(),function(e){var edge=g.edge(e);if(_.has(edge,"x")){getExtremes(edge)}});minX-=marginX;minY-=marginY;_.each(g.nodes(),function(v){var node=g.node(v);node.x-=minX;node.y-=minY});_.each(g.edges(),function(e){var edge=g.edge(e);_.each(edge.points,function(p){p.x-=minX;p.y-=minY});if(_.has(edge,"x")){edge.x-=minX}if(_.has(edge,"y")){edge.y-=minY}});graphLabel.width=maxX-minX+marginX;graphLabel.height=maxY-minY+marginY}function assignNodeIntersects(g){_.each(g.edges(),function(e){var edge=g.edge(e),nodeV=g.node(e.v),nodeW=g.node(e.w),p1,p2;if(!edge.points){edge.points=[];p1=nodeW;p2=nodeV}else{p1=edge.points[0];p2=edge.points[edge.points.length-1]}edge.points.unshift(util.intersectRect(nodeV,p1));edge.points.push(util.intersectRect(nodeW,p2))})}function fixupEdgeLabelCoords(g){_.each(g.edges(),function(e){var edge=g.edge(e);if(_.has(edge,"x")){if(edge.labelpos==="l"||edge.labelpos==="r"){edge.width-=edge.labeloffset}switch(edge.labelpos){case"l":edge.x-=edge.width/2+edge.labeloffset;break;case"r":edge.x+=edge.width/2+edge.labeloffset;break}}})}function reversePointsForReversedEdges(g){_.each(g.edges(),function(e){var edge=g.edge(e);if(edge.reversed){edge.points.reverse()}})}function removeBorderNodes(g){_.each(g.nodes(),function(v){if(g.children(v).length){var node=g.node(v),t=g.node(node.borderTop),b=g.node(node.borderBottom),l=g.node(_.last(node.borderLeft)),r=g.node(_.last(node.borderRight));node.width=Math.abs(r.x-l.x);node.height=Math.abs(b.y-t.y);node.x=l.x+node.width/2;node.y=t.y+node.height/2}});_.each(g.nodes(),function(v){if(g.node(v).dummy==="border"){g.removeNode(v)}})}function removeSelfEdges(g){_.each(g.edges(),function(e){if(e.v===e.w){var node=g.node(e.v);if(!node.selfEdges){node.selfEdges=[]}node.selfEdges.push({e:e,label:g.edge(e)});g.removeEdge(e)}})}function insertSelfEdges(g){var layers=util.buildLayerMatrix(g);_.each(layers,function(layer){var orderShift=0;_.each(layer,function(v,i){var node=g.node(v);node.order=i+orderShift;_.each(node.selfEdges,function(selfEdge){util.addDummyNode(g,"selfedge",{width:selfEdge.label.width,height:selfEdge.label.height,rank:node.rank,order:i+ ++orderShift,e:selfEdge.e,label:selfEdge.label},"_se")});delete node.selfEdges})})}function positionSelfEdges(g){_.each(g.nodes(),function(v){var node=g.node(v);if(node.dummy==="selfedge"){var selfNode=g.node(node.e.v),x=selfNode.x+selfNode.width/2,y=selfNode.y,dx=node.x-x,dy=selfNode.height/2;g.setEdge(node.e,node.label);g.removeNode(v);node.label.points=[{x:x+2*dx/3,y:y-dy},{x:x+5*dx/6,y:y-dy},{x:x+dx,y:y},{x:x+5*dx/6,y:y+dy},{x:x+2*dx/3,y:y+dy}];node.label.x=node.x;node.label.y=node.y}})}function selectNumberAttrs(obj,attrs){return _.mapValues(_.pick(obj,attrs),Number)}function canonicalize(attrs){var newAttrs={};_.each(attrs,function(v,k){newAttrs[k.toLowerCase()]=v});return newAttrs}},{"./acyclic":28,"./add-border-segments":29,"./coordinate-system":30,"./graphlib":33,"./lodash":36,"./nesting-graph":37,"./normalize":38,"./order":43,"./parent-dummy-chains":48,"./position":50,"./rank":52,"./util":55}],36:[function(require,module,exports){module.exports=require(20)},{"/Users/andrew/Documents/dev/dagre-d3/lib/lodash.js":20,lodash:77}],37:[function(require,module,exports){var _=require("./lodash"),util=require("./util");module.exports={run:run,cleanup:cleanup};function run(g){var root=util.addDummyNode(g,"root",{},"_root"),depths=treeDepths(g),height=_.max(depths)-1,nodeSep=2*height+1;g.graph().nestingRoot=root;_.each(g.edges(),function(e){g.edge(e).minlen*=nodeSep});var weight=sumWeights(g)+1;_.each(g.children(),function(child){dfs(g,root,nodeSep,weight,height,depths,child)});g.graph().nodeRankFactor=nodeSep}function dfs(g,root,nodeSep,weight,height,depths,v){var children=g.children(v);if(!children.length){if(v!==root){g.setEdge(root,v,{weight:0,minlen:nodeSep})}return}var top=util.addBorderNode(g,"_bt"),bottom=util.addBorderNode(g,"_bb"),label=g.node(v);g.setParent(top,v);label.borderTop=top;g.setParent(bottom,v);label.borderBottom=bottom;_.each(children,function(child){dfs(g,root,nodeSep,weight,height,depths,child);var childNode=g.node(child),childTop=childNode.borderTop?childNode.borderTop:child,childBottom=childNode.borderBottom?childNode.borderBottom:child,thisWeight=childNode.borderTop?weight:2*weight,minlen=childTop!==childBottom?1:height-depths[v]+1;g.setEdge(top,childTop,{weight:thisWeight,minlen:minlen,nestingEdge:true});g.setEdge(childBottom,bottom,{weight:thisWeight,minlen:minlen,nestingEdge:true})});if(!g.parent(v)){g.setEdge(root,top,{weight:0,minlen:height+depths[v]})}}function treeDepths(g){var depths={};function dfs(v,depth){var children=g.children(v);if(children&&children.length){_.each(children,function(child){dfs(child,depth+1)})}depths[v]=depth}_.each(g.children(),function(v){dfs(v,1)});return depths}function sumWeights(g){return _.reduce(g.edges(),function(acc,e){return acc+g.edge(e).weight},0)}function cleanup(g){var graphLabel=g.graph();g.removeNode(graphLabel.nestingRoot);delete graphLabel.nestingRoot;_.each(g.edges(),function(e){var edge=g.edge(e);if(edge.nestingEdge){g.removeEdge(e)}})}},{"./lodash":36,"./util":55}],38:[function(require,module,exports){"use strict";var _=require("./lodash"),util=require("./util");module.exports={run:run,undo:undo};function run(g){g.graph().dummyChains=[];_.each(g.edges(),function(edge){normalizeEdge(g,edge)})}function normalizeEdge(g,e){var v=e.v,vRank=g.node(v).rank,w=e.w,wRank=g.node(w).rank,name=e.name,edgeLabel=g.edge(e),labelRank=edgeLabel.labelRank;if(wRank===vRank+1)return;g.removeEdge(e);var dummy,attrs,i;for(i=0,++vRank;vRank0){if(index%2){weightSum+=tree[index+1]}index=index-1>>1;tree[index]+=entry.weight}cc+=entry.weight*weightSum}));return cc}},{"../lodash":36}],43:[function(require,module,exports){"use strict";var _=require("../lodash"),initOrder=require("./init-order"),crossCount=require("./cross-count"),sortSubgraph=require("./sort-subgraph"),buildLayerGraph=require("./build-layer-graph"),addSubgraphConstraints=require("./add-subgraph-constraints"),Graph=require("../graphlib").Graph,util=require("../util");module.exports=order;function order(g){var maxRank=util.maxRank(g),downLayerGraphs=buildLayerGraphs(g,_.range(1,maxRank+1),"inEdges"),upLayerGraphs=buildLayerGraphs(g,_.range(maxRank-1,-1,-1),"outEdges");var layering=initOrder(g);assignOrder(g,layering);var bestCC=Number.POSITIVE_INFINITY,best;for(var i=0,lastBest=0;lastBest<4;++i,++lastBest){sweepLayerGraphs(i%2?downLayerGraphs:upLayerGraphs,i%4>=2);layering=util.buildLayerMatrix(g);var cc=crossCount(g,layering);if(cc=vEntry.barycenter){mergeEntries(vEntry,uEntry)}}}function handleOut(vEntry){return function(wEntry){wEntry["in"].push(vEntry);if(--wEntry.indegree===0){sourceSet.push(wEntry)}}}while(sourceSet.length){var entry=sourceSet.pop();entries.push(entry);_.each(entry["in"].reverse(),handleIn(entry));_.each(entry.out,handleOut(entry))}return _.chain(entries).filter(function(entry){return!entry.merged}).map(function(entry){return _.pick(entry,["vs","i","barycenter","weight"])}).value()}function mergeEntries(target,source){var sum=0,weight=0;if(target.weight){sum+=target.barycenter*target.weight;weight+=target.weight}if(source.weight){sum+=source.barycenter*source.weight;weight+=source.weight}target.vs=source.vs.concat(target.vs);target.barycenter=sum/weight;target.weight=weight;target.i=Math.min(source.i,target.i);source.merged=true}},{"../lodash":36}],46:[function(require,module,exports){var _=require("../lodash"),barycenter=require("./barycenter"),resolveConflicts=require("./resolve-conflicts"),sort=require("./sort");module.exports=sortSubgraph;function sortSubgraph(g,v,cg,biasRight){var movable=g.children(v),node=g.node(v),bl=node?node.borderLeft:undefined,br=node?node.borderRight:undefined,subgraphs={};if(bl){movable=_.filter(movable,function(w){return w!==bl&&w!==br})}var barycenters=barycenter(g,movable);_.each(barycenters,function(entry){if(g.children(entry.v).length){var subgraphResult=sortSubgraph(g,entry.v,cg,biasRight);subgraphs[entry.v]=subgraphResult;if(_.has(subgraphResult,"barycenter")){mergeBarycenters(entry,subgraphResult)}}});var entries=resolveConflicts(barycenters,cg);expandSubgraphs(entries,subgraphs);var result=sort(entries,biasRight);if(bl){result.vs=_.flatten([bl,result.vs,br],true);if(g.predecessors(bl).length){var blPred=g.node(g.predecessors(bl)[0]),brPred=g.node(g.predecessors(br)[0]);if(!_.has(result,"barycenter")){result.barycenter=0;result.weight=0}result.barycenter=(result.barycenter*result.weight+blPred.order+brPred.order)/(result.weight+2);result.weight+=2}}return result}function expandSubgraphs(entries,subgraphs){_.each(entries,function(entry){entry.vs=_.flatten(entry.vs.map(function(v){if(subgraphs[v]){return subgraphs[v].vs}return v}),true)})}function mergeBarycenters(target,other){if(!_.isUndefined(target.barycenter)){target.barycenter=(target.barycenter*target.weight+other.barycenter*other.weight)/(target.weight+other.weight);target.weight+=other.weight}else{target.barycenter=other.barycenter;target.weight=other.weight}}},{"../lodash":36,"./barycenter":40,"./resolve-conflicts":45,"./sort":47}],47:[function(require,module,exports){var _=require("../lodash"),util=require("../util");module.exports=sort;function sort(entries,biasRight){var parts=util.partition(entries,function(entry){return _.has(entry,"barycenter")});var sortable=parts.lhs,unsortable=_.sortBy(parts.rhs,function(entry){return-entry.i}),vs=[],sum=0,weight=0,vsIndex=0;sortable.sort(compareWithBias(!!biasRight));vsIndex=consumeUnsortable(vs,unsortable,vsIndex);_.each(sortable,function(entry){vsIndex+=entry.vs.length;vs.push(entry.vs);sum+=entry.barycenter*entry.weight;weight+=entry.weight;vsIndex=consumeUnsortable(vs,unsortable,vsIndex)});var result={vs:_.flatten(vs,true)};if(weight){result.barycenter=sum/weight;result.weight=weight}return result}function consumeUnsortable(vs,unsortable,index){var last;while(unsortable.length&&(last=_.last(unsortable)).i<=index){unsortable.pop();vs.push(last.vs);index++}return index}function compareWithBias(bias){return function(entryV,entryW){if(entryV.barycenterentryW.barycenter){return 1}return!bias?entryV.i-entryW.i:entryW.i-entryV.i}}},{"../lodash":36,"../util":55}],48:[function(require,module,exports){var _=require("./lodash");module.exports=parentDummyChains;function parentDummyChains(g){var postorderNums=postorder(g);_.each(g.graph().dummyChains,function(v){var node=g.node(v),edgeObj=node.edgeObj,pathData=findPath(g,postorderNums,edgeObj.v,edgeObj.w),path=pathData.path,lca=pathData.lca,pathIdx=0,pathV=path[pathIdx],ascending=true;while(v!==edgeObj.w){node=g.node(v);if(ascending){while((pathV=path[pathIdx])!==lca&&g.node(pathV).maxRanklow||lim>postorderNums[parent].lim));lca=parent;parent=w;while((parent=g.parent(parent))!==lca){wPath.push(parent)}return{path:vPath.concat(wPath.reverse()),lca:lca}}function postorder(g){var result={},lim=0;function dfs(v){var low=lim;_.each(g.children(v),dfs);result[v]={low:low,lim:lim++}}_.each(g.children(),dfs);return result}},{"./lodash":36}],49:[function(require,module,exports){"use strict";var _=require("../lodash"),Graph=require("../graphlib").Graph,util=require("../util");module.exports={positionX:positionX,findType1Conflicts:findType1Conflicts,findType2Conflicts:findType2Conflicts,addConflict:addConflict,hasConflict:hasConflict,verticalAlignment:verticalAlignment,horizontalCompaction:horizontalCompaction,alignCoordinates:alignCoordinates,findSmallestWidthAlignment:findSmallestWidthAlignment,balance:balance};function findType1Conflicts(g,layering){var conflicts={};function visitLayer(prevLayer,layer){var k0=0,scanPos=0,prevLayerLength=prevLayer.length,lastNode=_.last(layer);_.each(layer,function(v,i){var w=findOtherInnerSegmentNode(g,v),k1=w?g.node(w).order:prevLayerLength;if(w||v===lastNode){_.each(layer.slice(scanPos,i+1),function(scanNode){_.each(g.predecessors(scanNode),function(u){var uLabel=g.node(u),uPos=uLabel.order;if((uPosnextNorthBorder)){addConflict(conflicts,u,v)}})}})}function visitLayer(north,south){var prevNorthPos=-1,nextNorthPos,southPos=0;_.each(south,function(v,southLookahead){if(g.node(v).dummy==="border"){var predecessors=g.predecessors(v);if(predecessors.length){nextNorthPos=g.node(predecessors[0]).order;scan(south,southPos,southLookahead,prevNorthPos,nextNorthPos);southPos=southLookahead;prevNorthPos=nextNorthPos}}scan(south,southPos,south.length,nextNorthPos,north.length)});return south}_.reduce(layering,visitLayer);return conflicts}function findOtherInnerSegmentNode(g,v){if(g.node(v).dummy){return _.find(g.predecessors(v),function(u){return g.node(u).dummy})}}function addConflict(conflicts,v,w){if(v>w){var tmp=v;v=w;w=tmp}var conflictsV=conflicts[v];if(!conflictsV){conflicts[v]=conflictsV={}}conflictsV[w]=true}function hasConflict(conflicts,v,w){if(v>w){var tmp=v;v=w;w=tmp}return _.has(conflicts[v],w)}function verticalAlignment(g,layering,conflicts,neighborFn){var root={},align={},pos={};_.each(layering,function(layer){_.each(layer,function(v,order){root[v]=v;align[v]=v;pos[v]=order})});_.each(layering,function(layer){var prevIdx=-1;_.each(layer,function(v){var ws=neighborFn(v);if(ws.length){ws=_.sortBy(ws,function(w){return pos[w]});var mp=(ws.length-1)/2;for(var i=Math.floor(mp),il=Math.ceil(mp);i<=il;++i){var w=ws[i];if(align[v]===v&&prevIdx0){if(index%2){weightSum+=tree[index+1]}index=index-1>>1;tree[index]+=entry.weight}cc+=entry.weight*weightSum}));return cc}},{"../lodash":36}],43:[function(require,module,exports){"use strict";var _=require("../lodash"),initOrder=require("./init-order"),crossCount=require("./cross-count"),sortSubgraph=require("./sort-subgraph"),buildLayerGraph=require("./build-layer-graph"),addSubgraphConstraints=require("./add-subgraph-constraints"),Graph=require("../graphlib").Graph,util=require("../util");module.exports=order;function order(g){var maxRank=util.maxRank(g),downLayerGraphs=buildLayerGraphs(g,_.range(1,maxRank+1),"inEdges"),upLayerGraphs=buildLayerGraphs(g,_.range(maxRank-1,-1,-1),"outEdges");var layering=initOrder(g);assignOrder(g,layering);var bestCC=Number.POSITIVE_INFINITY,best;for(var i=0,lastBest=0;lastBest<4;++i,++lastBest){sweepLayerGraphs(i%2?downLayerGraphs:upLayerGraphs,i%4>=2);layering=util.buildLayerMatrix(g);var cc=crossCount(g,layering);if(cc=vEntry.barycenter){mergeEntries(vEntry,uEntry)}}}function handleOut(vEntry){return function(wEntry){wEntry["in"].push(vEntry);if(--wEntry.indegree===0){sourceSet.push(wEntry)}}}while(sourceSet.length){var entry=sourceSet.pop();entries.push(entry);_.each(entry["in"].reverse(),handleIn(entry));_.each(entry.out,handleOut(entry))}return _.chain(entries).filter(function(entry){return!entry.merged}).map(function(entry){return _.pick(entry,["vs","i","barycenter","weight"])}).value()}function mergeEntries(target,source){var sum=0,weight=0;if(target.weight){sum+=target.barycenter*target.weight;weight+=target.weight}if(source.weight){sum+=source.barycenter*source.weight;weight+=source.weight}target.vs=source.vs.concat(target.vs);target.barycenter=sum/weight;target.weight=weight;target.i=Math.min(source.i,target.i);source.merged=true}},{"../lodash":36}],46:[function(require,module,exports){var _=require("../lodash"),barycenter=require("./barycenter"),resolveConflicts=require("./resolve-conflicts"),sort=require("./sort");module.exports=sortSubgraph;function sortSubgraph(g,v,cg,biasRight){var movable=g.children(v),node=g.node(v),bl=node?node.borderLeft:undefined,br=node?node.borderRight:undefined,subgraphs={};if(bl){movable=_.filter(movable,function(w){return w!==bl&&w!==br})}var barycenters=barycenter(g,movable);_.each(barycenters,function(entry){if(g.children(entry.v).length){var subgraphResult=sortSubgraph(g,entry.v,cg,biasRight);subgraphs[entry.v]=subgraphResult;if(_.has(subgraphResult,"barycenter")){mergeBarycenters(entry,subgraphResult)}}});var entries=resolveConflicts(barycenters,cg);expandSubgraphs(entries,subgraphs);var result=sort(entries,biasRight);if(bl){result.vs=_.flatten([bl,result.vs,br],true);if(g.predecessors(bl).length){var blPred=g.node(g.predecessors(bl)[0]),brPred=g.node(g.predecessors(br)[0]);if(!_.has(result,"barycenter")){result.barycenter=0;result.weight=0}result.barycenter=(result.barycenter*result.weight+blPred.order+brPred.order)/(result.weight+2);result.weight+=2}}return result}function expandSubgraphs(entries,subgraphs){_.each(entries,function(entry){entry.vs=_.flatten(entry.vs.map(function(v){if(subgraphs[v]){return subgraphs[v].vs}return v}),true)})}function mergeBarycenters(target,other){if(!_.isUndefined(target.barycenter)){target.barycenter=(target.barycenter*target.weight+other.barycenter*other.weight)/(target.weight+other.weight);target.weight+=other.weight}else{target.barycenter=other.barycenter;target.weight=other.weight}}},{"../lodash":36,"./barycenter":40,"./resolve-conflicts":45,"./sort":47}],47:[function(require,module,exports){var _=require("../lodash"),util=require("../util");module.exports=sort;function sort(entries,biasRight){var parts=util.partition(entries,function(entry){return _.has(entry,"barycenter")});var sortable=parts.lhs,unsortable=_.sortBy(parts.rhs,function(entry){return-entry.i}),vs=[],sum=0,weight=0,vsIndex=0;sortable.sort(compareWithBias(!!biasRight));vsIndex=consumeUnsortable(vs,unsortable,vsIndex);_.each(sortable,function(entry){vsIndex+=entry.vs.length;vs.push(entry.vs);sum+=entry.barycenter*entry.weight;weight+=entry.weight;vsIndex=consumeUnsortable(vs,unsortable,vsIndex)});var result={vs:_.flatten(vs,true)};if(weight){result.barycenter=sum/weight;result.weight=weight}return result}function consumeUnsortable(vs,unsortable,index){var last;while(unsortable.length&&(last=_.last(unsortable)).i<=index){unsortable.pop();vs.push(last.vs);index++}return index}function compareWithBias(bias){return function(entryV,entryW){if(entryV.barycenterentryW.barycenter){return 1}return!bias?entryV.i-entryW.i:entryW.i-entryV.i}}},{"../lodash":36,"../util":55}],48:[function(require,module,exports){var _=require("./lodash");module.exports=parentDummyChains;function parentDummyChains(g){var postorderNums=postorder(g);_.each(g.graph().dummyChains,function(v){var node=g.node(v),edgeObj=node.edgeObj,pathData=findPath(g,postorderNums,edgeObj.v,edgeObj.w),path=pathData.path,lca=pathData.lca,pathIdx=0,pathV=path[pathIdx],ascending=true;while(v!==edgeObj.w){node=g.node(v);if(ascending){while((pathV=path[pathIdx])!==lca&&g.node(pathV).maxRanklow||lim>postorderNums[parent].lim));lca=parent;parent=w;while((parent=g.parent(parent))!==lca){wPath.push(parent)}return{path:vPath.concat(wPath.reverse()),lca:lca}}function postorder(g){var result={},lim=0;function dfs(v){var low=lim;_.each(g.children(v),dfs);result[v]={low:low,lim:lim++}}_.each(g.children(),dfs);return result}},{"./lodash":36}],49:[function(require,module,exports){"use strict";var _=require("../lodash"),Graph=require("../graphlib").Graph,util=require("../util");module.exports={positionX:positionX,findType1Conflicts:findType1Conflicts,findType2Conflicts:findType2Conflicts,addConflict:addConflict,hasConflict:hasConflict,verticalAlignment:verticalAlignment,horizontalCompaction:horizontalCompaction,alignCoordinates:alignCoordinates,findSmallestWidthAlignment:findSmallestWidthAlignment,balance:balance};function findType1Conflicts(g,layering){var conflicts={};function visitLayer(prevLayer,layer){var k0=0,scanPos=0,prevLayerLength=prevLayer.length,lastNode=_.last(layer);_.each(layer,function(v,i){var w=findOtherInnerSegmentNode(g,v),k1=w?g.node(w).order:prevLayerLength;if(w||v===lastNode){_.each(layer.slice(scanPos,i+1),function(scanNode){_.each(g.predecessors(scanNode),function(u){var uLabel=g.node(u),uPos=uLabel.order;if((uPosnextNorthBorder)){addConflict(conflicts,u,v)}})}})}function visitLayer(north,south){var prevNorthPos=-1,nextNorthPos,southPos=0;_.each(south,function(v,southLookahead){if(g.node(v).dummy==="border"){var predecessors=g.predecessors(v);if(predecessors.length){nextNorthPos=g.node(predecessors[0]).order;scan(south,southPos,southLookahead,prevNorthPos,nextNorthPos);southPos=southLookahead;prevNorthPos=nextNorthPos}}scan(south,southPos,south.length,nextNorthPos,north.length)});return south}_.reduce(layering,visitLayer);return conflicts}function findOtherInnerSegmentNode(g,v){if(g.node(v).dummy){return _.find(g.predecessors(v),function(u){return g.node(u).dummy})}}function addConflict(conflicts,v,w){if(v>w){var tmp=v;v=w;w=tmp}var conflictsV=conflicts[v];if(!conflictsV){conflicts[v]=conflictsV={}}conflictsV[w]=true}function hasConflict(conflicts,v,w){if(v>w){var tmp=v;v=w;w=tmp}return _.has(conflicts[v],w)}function verticalAlignment(g,layering,conflicts,neighborFn){var root={},align={},pos={};_.each(layering,function(layer){_.each(layer,function(v,order){root[v]=v;align[v]=v;pos[v]=order})});_.each(layering,function(layer){var prevIdx=-1;_.each(layer,function(v){var ws=neighborFn(v);if(ws.length){ws=_.sortBy(ws,function(w){return pos[w]});var mp=(ws.length-1)/2;for(var i=Math.floor(mp),il=Math.ceil(mp);i<=il;++i){var w=ws[i];if(align[v]===v&&prevIdxwLabel.lim){tailLabel=wLabel;flip=true}var candidates=_.filter(g.edges(),function(edge){return flip===isDescendant(t,t.node(edge.v),tailLabel)&&flip!==isDescendant(t,t.node(edge.w),tailLabel)});return _.min(candidates,function(edge){return slack(g,edge)})}function exchangeEdges(t,g,e,f){var v=e.v,w=e.w;t.removeEdge(v,w);t.setEdge(f.v,f.w,{});initLowLimValues(t);initCutValues(t,g);updateRanks(t,g)}function updateRanks(t,g){var root=_.find(t.nodes(),function(v){return!g.node(v).parent}),vs=preorder(t,root);vs=vs.slice(1);_.each(vs,function(v){var parent=t.node(v).parent,edge=g.edge(v,parent),flipped=false;if(!edge){edge=g.edge(parent,v);flipped=true}g.node(v).rank=g.node(parent).rank+(flipped?edge.minlen:-edge.minlen)})}function isTreeEdge(tree,u,v){return tree.hasEdge(u,v)}function isDescendant(tree,vLabel,rootLabel){return rootLabel.low<=vLabel.lim&&vLabel.lim<=rootLabel.lim}},{"../graphlib":33,"../lodash":36,"../util":55,"./feasible-tree":51,"./util":54}],54:[function(require,module,exports){"use strict";var _=require("../lodash");module.exports={longestPath:longestPath,slack:slack};function longestPath(g){var visited={};function dfs(v){var label=g.node(v);if(_.has(visited,v)){return label.rank}visited[v]=true;var rank=_.min(_.map(g.outEdges(v),function(e){return dfs(e.w)-g.edge(e).minlen}));if(rank===Number.POSITIVE_INFINITY){rank=0}return label.rank=rank}_.each(g.sources(),dfs)}function slack(g,e){return g.node(e.w).rank-g.node(e.v).rank-g.edge(e).minlen}},{"../lodash":36}],55:[function(require,module,exports){"use strict";var _=require("./lodash"),Graph=require("./graphlib").Graph;module.exports={addDummyNode:addDummyNode,simplify:simplify,asNonCompoundGraph:asNonCompoundGraph,successorWeights:successorWeights,predecessorWeights:predecessorWeights,intersectRect:intersectRect,buildLayerMatrix:buildLayerMatrix,normalizeRanks:normalizeRanks,removeEmptyRanks:removeEmptyRanks,addBorderNode:addBorderNode,maxRank:maxRank,partition:partition,time:time,notime:notime};function addDummyNode(g,type,attrs,name){var v;
+if(!g.hasEdge(v,w)){v=edge.w;w=edge.v}var vLabel=t.node(v),wLabel=t.node(w),tailLabel=vLabel,flip=false;if(vLabel.lim>wLabel.lim){tailLabel=wLabel;flip=true}var candidates=_.filter(g.edges(),function(edge){return flip===isDescendant(t,t.node(edge.v),tailLabel)&&flip!==isDescendant(t,t.node(edge.w),tailLabel)});return _.min(candidates,function(edge){return slack(g,edge)})}function exchangeEdges(t,g,e,f){var v=e.v,w=e.w;t.removeEdge(v,w);t.setEdge(f.v,f.w,{});initLowLimValues(t);initCutValues(t,g);updateRanks(t,g)}function updateRanks(t,g){var root=_.find(t.nodes(),function(v){return!g.node(v).parent}),vs=preorder(t,root);vs=vs.slice(1);_.each(vs,function(v){var parent=t.node(v).parent,edge=g.edge(v,parent),flipped=false;if(!edge){edge=g.edge(parent,v);flipped=true}g.node(v).rank=g.node(parent).rank+(flipped?edge.minlen:-edge.minlen)})}function isTreeEdge(tree,u,v){return tree.hasEdge(u,v)}function isDescendant(tree,vLabel,rootLabel){return rootLabel.low<=vLabel.lim&&vLabel.lim<=rootLabel.lim}},{"../graphlib":33,"../lodash":36,"../util":55,"./feasible-tree":51,"./util":54}],54:[function(require,module,exports){"use strict";var _=require("../lodash");module.exports={longestPath:longestPath,slack:slack};function longestPath(g){var visited={};function dfs(v){var label=g.node(v);if(_.has(visited,v)){return label.rank}visited[v]=true;var rank=_.min(_.map(g.outEdges(v),function(e){return dfs(e.w)-g.edge(e).minlen}));if(rank===Number.POSITIVE_INFINITY){rank=0}return label.rank=rank}_.each(g.sources(),dfs)}function slack(g,e){return g.node(e.w).rank-g.node(e.v).rank-g.edge(e).minlen}},{"../lodash":36}],55:[function(require,module,exports){"use strict";var _=require("./lodash"),Graph=require("./graphlib").Graph;module.exports={addDummyNode:addDummyNode,simplify:simplify,asNonCompoundGraph:asNonCompoundGraph,successorWeights:successorWeights,predecessorWeights:predecessorWeights,intersectRect:intersectRect,buildLayerMatrix:buildLayerMatrix,normalizeRanks:normalizeRanks,removeEmptyRanks:removeEmptyRanks,addBorderNode:addBorderNode,maxRank:maxRank,partition:partition,time:time,notime:notime};function addDummyNode(g,type,attrs,name){var v;do{v=_.uniqueId(name)}while(g.hasNode(v));attrs.dummy=type;g.setNode(v,attrs);return v}function simplify(g){var simplified=(new Graph).setGraph(g.graph());_.each(g.nodes(),function(v){simplified.setNode(v,g.node(v))});_.each(g.edges(),function(e){var simpleLabel=simplified.edge(e.v,e.w)||{weight:0,minlen:1},label=g.edge(e);simplified.setEdge(e.v,e.w,{weight:simpleLabel.weight+label.weight,minlen:Math.max(simpleLabel.minlen,label.minlen)})});return simplified}function asNonCompoundGraph(g){var simplified=new Graph({multigraph:g.isMultigraph()}).setGraph(g.graph());_.each(g.nodes(),function(v){if(!g.children(v).length){simplified.setNode(v,g.node(v))}});_.each(g.edges(),function(e){simplified.setEdge(e,g.edge(e))});return simplified}function successorWeights(g){var weightMap=_.map(g.nodes(),function(v){var sucs={};_.each(g.outEdges(v),function(e){sucs[e.w]=(sucs[e.w]||0)+g.edge(e).weight});return sucs});return _.zipObject(g.nodes(),weightMap)}function predecessorWeights(g){var weightMap=_.map(g.nodes(),function(v){var preds={};_.each(g.inEdges(v),function(e){preds[e.v]=(preds[e.v]||0)+g.edge(e).weight});return preds});return _.zipObject(g.nodes(),weightMap)}function intersectRect(rect,point){var x=rect.x;var y=rect.y;var dx=point.x-x;var dy=point.y-y;var w=rect.width/2;var h=rect.height/2;if(!dx&&!dy){throw new Error("Not possible to find intersection inside of the rectangle")}var sx,sy;if(Math.abs(dy)*w>Math.abs(dx)*h){if(dy<0){h=-h}sx=h*dx/dy;sy=h}else{if(dx<0){w=-w}sx=w;sy=w*dy/dx}return{x:x+sx,y:y+sy}}function buildLayerMatrix(g){var layering=_.map(_.range(maxRank(g)+1),function(){return[]});_.each(g.nodes(),function(v){var node=g.node(v),rank=node.rank;if(!_.isUndefined(rank)){layering[rank][node.order]=v}});return layering}function normalizeRanks(g){var min=_.min(_.map(g.nodes(),function(v){return g.node(v).rank}));_.each(g.nodes(),function(v){var node=g.node(v);if(_.has(node,"rank")){node.rank-=min}})}function removeEmptyRanks(g){var offset=_.min(_.map(g.nodes(),function(v){return g.node(v).rank}));var layers=[];_.each(g.nodes(),function(v){var rank=g.node(v).rank-offset;if(!_.has(layers,rank)){layers[rank]=[]}layers[rank].push(v)});var delta=0,nodeRankFactor=g.graph().nodeRankFactor;_.each(layers,function(vs,i){if(_.isUndefined(vs)&&i%nodeRankFactor!==0){--delta}else if(delta){_.each(vs,function(v){g.node(v).rank+=delta})}})}function addBorderNode(g,prefix,rank,order){var node={width:0,height:0};if(arguments.length>=4){node.rank=rank;node.order=order}return addDummyNode(g,"border",node,prefix)}function maxRank(g){return _.max(_.map(g.nodes(),function(v){var rank=g.node(v).rank;if(!_.isUndefined(rank)){return rank}}))}function partition(collection,fn){var result={lhs:[],rhs:[]};_.each(collection,function(value){if(fn(value)){result.lhs.push(value)}else{result.rhs.push(value)}});return result}function time(name,fn){var start=_.now();try{return fn()}finally{console.log(name+" time: "+(_.now()-start)+"ms")}}function notime(name,fn){return fn()}},{"./graphlib":33,"./lodash":36}],56:[function(require,module,exports){module.exports="0.7.1"},{}],57:[function(require,module,exports){var lib=require("./lib");module.exports={Graph:lib.Graph,json:require("./lib/json"),alg:require("./lib/alg"),version:lib.version}},{"./lib":73,"./lib/alg":64,"./lib/json":74}],58:[function(require,module,exports){var _=require("../lodash");module.exports=components;function components(g){var visited={},cmpts=[],cmpt;function dfs(v){if(_.has(visited,v))return;visited[v]=true;cmpt.push(v);_.each(g.successors(v),dfs);_.each(g.predecessors(v),dfs)}_.each(g.nodes(),function(v){cmpt=[];dfs(v);if(cmpt.length){cmpts.push(cmpt)}});return cmpts}},{"../lodash":75}],59:[function(require,module,exports){var _=require("../lodash");module.exports=dfs;function dfs(g,vs,order){if(!_.isArray(vs)){vs=[vs]}var acc=[],visited={};_.each(vs,function(v){if(!g.hasNode(v)){throw new Error("Graph does not have node: "+v)}doDfs(g,v,order==="post",visited,acc)});return acc}function doDfs(g,v,postorder,visited,acc){if(!_.has(visited,v)){visited[v]=true;if(!postorder){acc.push(v)}_.each(g.neighbors(v),function(w){doDfs(g,w,postorder,visited,acc)});if(postorder){acc.push(v)}}}},{"../lodash":75}],60:[function(require,module,exports){var dijkstra=require("./dijkstra"),_=require("../lodash");module.exports=dijkstraAll;function dijkstraAll(g,weightFunc,edgeFunc){return _.transform(g.nodes(),function(acc,v){acc[v]=dijkstra(g,v,weightFunc,edgeFunc)},{})}},{"../lodash":75,"./dijkstra":61}],61:[function(require,module,exports){var _=require("../lodash"),PriorityQueue=require("../data/priority-queue");module.exports=dijkstra;var DEFAULT_WEIGHT_FUNC=_.constant(1);function dijkstra(g,source,weightFn,edgeFn){return runDijkstra(g,String(source),weightFn||DEFAULT_WEIGHT_FUNC,edgeFn||function(v){return g.outEdges(v)})}function runDijkstra(g,source,weightFn,edgeFn){var results={},pq=new PriorityQueue,v,vEntry;var updateNeighbors=function(edge){var w=edge.v!==v?edge.v:edge.w,wEntry=results[w],weight=weightFn(edge),distance=vEntry.distance+weight;if(weight<0){throw new Error("dijkstra does not allow negative edge weights. "+"Bad edge: "+edge+" Weight: "+weight)}if(distance0){v=pq.removeMin();vEntry=results[v];if(vEntry.distance===Number.POSITIVE_INFINITY){break}edgeFn(v).forEach(updateNeighbors)}return results}},{"../data/priority-queue":71,"../lodash":75}],62:[function(require,module,exports){var _=require("../lodash"),tarjan=require("./tarjan");module.exports=findCycles;function findCycles(g){return _.filter(tarjan(g),function(cmpt){return cmpt.length>1})}},{"../lodash":75,"./tarjan":69}],63:[function(require,module,exports){var _=require("../lodash");module.exports=floydWarshall;var DEFAULT_WEIGHT_FUNC=_.constant(1);function floydWarshall(g,weightFn,edgeFn){return runFloydWarshall(g,weightFn||DEFAULT_WEIGHT_FUNC,edgeFn||function(v){return g.outEdges(v)})}function runFloydWarshall(g,weightFn,edgeFn){var results={},nodes=g.nodes();nodes.forEach(function(v){results[v]={};results[v][v]={distance:0};nodes.forEach(function(w){if(v!==w){results[v][w]={distance:Number.POSITIVE_INFINITY}}});edgeFn(v).forEach(function(edge){var w=edge.v===v?edge.w:edge.v,d=weightFn(edge);results[v][w]={distance:d,predecessor:v}})});nodes.forEach(function(k){var rowK=results[k];nodes.forEach(function(i){var rowI=results[i];nodes.forEach(function(j){var ik=rowI[k];var kj=rowK[j];var ij=rowI[j];var altDistance=ik.distance+kj.distance;if(altDistance0){v=pq.removeMin();if(_.has(parents,v)){result.setEdge(v,parents[v])}else if(init){throw new Error("Input graph is not connected: "+g)}else{init=true}g.nodeEdges(v).forEach(updateNeighbors)}return result}},{"../data/priority-queue":71,"../graph":72,"../lodash":75}],69:[function(require,module,exports){var _=require("../lodash");module.exports=tarjan;function tarjan(g){var index=0,stack=[],visited={},results=[];function dfs(v){var entry=visited[v]={onStack:true,lowlink:index,index:index++};stack.push(v);g.successors(v).forEach(function(w){if(!_.has(visited,w)){dfs(w);entry.lowlink=Math.min(entry.lowlink,visited[w].lowlink)}else if(visited[w].onStack){entry.lowlink=Math.min(entry.lowlink,visited[w].index)}});if(entry.lowlink===entry.index){var cmpt=[],w;do{w=stack.pop();visited[w].onStack=false;cmpt.push(w)}while(v!==w);results.push(cmpt)}}g.nodes().forEach(function(v){if(!_.has(visited,v)){dfs(v)}});return results}},{"../lodash":75}],70:[function(require,module,exports){var _=require("../lodash");module.exports=topsort;topsort.CycleException=CycleException;function topsort(g){var visited={},stack={},results=[];function visit(node){if(_.has(stack,node)){throw new CycleException}if(!_.has(visited,node)){stack[node]=true;visited[node]=true;_.each(g.predecessors(node),visit);delete stack[node];results.push(node)}}_.each(g.sinks(),visit);if(_.size(visited)!==g.nodeCount()){throw new CycleException}return results}function CycleException(){}},{"../lodash":75}],71:[function(require,module,exports){var _=require("../lodash");module.exports=PriorityQueue;function PriorityQueue(){this._arr=[];this._keyIndices={}}PriorityQueue.prototype.size=function(){return this._arr.length};PriorityQueue.prototype.keys=function(){return this._arr.map(function(x){return x.key})};PriorityQueue.prototype.has=function(key){return _.has(this._keyIndices,key)};PriorityQueue.prototype.priority=function(key){var index=this._keyIndices[key];if(index!==undefined){return this._arr[index].priority}};PriorityQueue.prototype.min=function(){if(this.size()===0){throw new Error("Queue underflow")}return this._arr[0].key};PriorityQueue.prototype.add=function(key,priority){var keyIndices=this._keyIndices;key=String(key);if(!_.has(keyIndices,key)){var arr=this._arr;var index=arr.length;keyIndices[key]=index;arr.push({key:key,priority:priority});this._decrease(index);return true}return false};PriorityQueue.prototype.removeMin=function(){this._swap(0,this._arr.length-1);var min=this._arr.pop();delete this._keyIndices[min.key];this._heapify(0);return min.key};PriorityQueue.prototype.decrease=function(key,priority){var index=this._keyIndices[key];if(priority>this._arr[index].priority){throw new Error("New priority is greater than current priority. "+"Key: "+key+" Old: "+this._arr[index].priority+" New: "+priority)}this._arr[index].priority=priority;this._decrease(index)};PriorityQueue.prototype._heapify=function(i){var arr=this._arr;var l=2*i,r=l+1,largest=i;if(l>1;if(arr[parent].priority1){this.setNode(v,value)}else{this.setNode(v)}},this);return this};Graph.prototype.setNode=function(v,value){if(_.has(this._nodes,v)){if(arguments.length>1){this._nodes[v]=value}return this}this._nodes[v]=arguments.length>1?value:this._defaultNodeLabelFn(v);if(this._isCompound){this._parent[v]=GRAPH_NODE;this._children[v]={};this._children[GRAPH_NODE][v]=true}this._in[v]={};this._preds[v]={};this._out[v]={};this._sucs[v]={};++this._nodeCount;return this};Graph.prototype.node=function(v){return this._nodes[v]};Graph.prototype.hasNode=function(v){return _.has(this._nodes,v)};Graph.prototype.removeNode=function(v){var self=this;if(_.has(this._nodes,v)){var removeEdge=function(e){self.removeEdge(self._edgeObjs[e])};delete this._nodes[v];if(this._isCompound){this._removeFromParentsChildList(v);delete this._parent[v];_.each(this.children(v),function(child){this.setParent(child)},this);delete this._children[v]}_.each(_.keys(this._in[v]),removeEdge);delete this._in[v];delete this._preds[v];_.each(_.keys(this._out[v]),removeEdge);delete this._out[v];delete this._sucs[v];--this._nodeCount}return this};Graph.prototype.setParent=function(v,parent){if(!this._isCompound){throw new Error("Cannot set parent in a non-compound graph")}if(_.isUndefined(parent)){parent=GRAPH_NODE}else{for(var ancestor=parent;!_.isUndefined(ancestor);ancestor=this.parent(ancestor)){if(ancestor===v){throw new Error("Setting "+parent+" as parent of "+v+" would create create a cycle")}}this.setNode(parent)}this.setNode(v);this._removeFromParentsChildList(v);this._parent[v]=parent;this._children[parent][v]=true;return this};Graph.prototype._removeFromParentsChildList=function(v){delete this._children[this._parent[v]][v]};Graph.prototype.parent=function(v){if(this._isCompound){var parent=this._parent[v];if(parent!==GRAPH_NODE){return parent}}};Graph.prototype.children=function(v){if(_.isUndefined(v)){v=GRAPH_NODE}if(this._isCompound){var children=this._children[v];if(children){return _.keys(children)}}else if(v===GRAPH_NODE){return this.nodes()}else if(this.hasNode(v)){return[]}};Graph.prototype.predecessors=function(v){var predsV=this._preds[v];if(predsV){return _.keys(predsV)}};Graph.prototype.successors=function(v){var sucsV=this._sucs[v];if(sucsV){return _.keys(sucsV)}};Graph.prototype.neighbors=function(v){var preds=this.predecessors(v);if(preds){return _.union(preds,this.successors(v))}};Graph.prototype.setDefaultEdgeLabel=function(newDefault){if(!_.isFunction(newDefault)){newDefault=_.constant(newDefault)}this._defaultEdgeLabelFn=newDefault;return this};Graph.prototype.edgeCount=function(){return this._edgeCount};Graph.prototype.edges=function(){return _.values(this._edgeObjs)};Graph.prototype.setPath=function(vs,value){var self=this,args=arguments;_.reduce(vs,function(v,w){if(args.length>1){self.setEdge(v,w,value)}else{self.setEdge(v,w)}return w});return this};Graph.prototype.setEdge=function(){var v,w,name,value,valueSpecified=false;if(_.isPlainObject(arguments[0])){v=arguments[0].v;w=arguments[0].w;name=arguments[0].name;if(arguments.length===2){value=arguments[1];valueSpecified=true}}else{v=arguments[0];w=arguments[1];name=arguments[3];if(arguments.length>2){value=arguments[2];valueSpecified=true}}v=""+v;w=""+w;if(!_.isUndefined(name)){name=""+name}var e=edgeArgsToId(this._isDirected,v,w,name);if(_.has(this._edgeLabels,e)){if(valueSpecified){this._edgeLabels[e]=value}return this}if(!_.isUndefined(name)&&!this._isMultigraph){throw new Error("Cannot set a named edge when isMultigraph = false")}this.setNode(v);this.setNode(w);this._edgeLabels[e]=valueSpecified?value:this._defaultEdgeLabelFn(v,w,name);var edgeObj=edgeArgsToObj(this._isDirected,v,w,name);v=edgeObj.v;w=edgeObj.w;Object.freeze(edgeObj);this._edgeObjs[e]=edgeObj;incrementOrInitEntry(this._preds[w],v);incrementOrInitEntry(this._sucs[v],w);this._in[w][e]=edgeObj;this._out[v][e]=edgeObj;this._edgeCount++;return this};Graph.prototype.edge=function(v,w,name){var e=arguments.length===1?edgeObjToId(this._isDirected,arguments[0]):edgeArgsToId(this._isDirected,v,w,name);return this._edgeLabels[e]};Graph.prototype.hasEdge=function(v,w,name){var e=arguments.length===1?edgeObjToId(this._isDirected,arguments[0]):edgeArgsToId(this._isDirected,v,w,name);return _.has(this._edgeLabels,e)};Graph.prototype.removeEdge=function(v,w,name){var e=arguments.length===1?edgeObjToId(this._isDirected,arguments[0]):edgeArgsToId(this._isDirected,v,w,name),edge=this._edgeObjs[e];if(edge){v=edge.v;w=edge.w;delete this._edgeLabels[e];delete this._edgeObjs[e];decrementOrRemoveEntry(this._preds[w],v);decrementOrRemoveEntry(this._sucs[v],w);delete this._in[w][e];delete this._out[v][e];this._edgeCount--}return this};Graph.prototype.inEdges=function(v,u){var inV=this._in[v];if(inV){var edges=_.values(inV);if(!u){return edges}return _.filter(edges,function(edge){return edge.v===u})}};Graph.prototype.outEdges=function(v,w){var outV=this._out[v];if(outV){var edges=_.values(outV);if(!w){return edges}return _.filter(edges,function(edge){return edge.w===w})}};Graph.prototype.nodeEdges=function(v,w){var inEdges=this.inEdges(v,w);if(inEdges){return inEdges.concat(this.outEdges(v,w))}};function incrementOrInitEntry(map,k){if(_.has(map,k)){map[k]++}else{map[k]=1}}function decrementOrRemoveEntry(map,k){if(!--map[k]){delete map[k]}}function edgeArgsToId(isDirected,v,w,name){if(!isDirected&&v>w){var tmp=v;v=w;w=tmp}return v+EDGE_KEY_DELIM+w+EDGE_KEY_DELIM+(_.isUndefined(name)?DEFAULT_EDGE_NAME:name)}function edgeArgsToObj(isDirected,v,w,name){if(!isDirected&&v>w){var tmp=v;v=w;w=tmp}var edgeObj={v:v,w:w};if(name){edgeObj.name=name}return edgeObj}function edgeObjToId(isDirected,edgeObj){return edgeArgsToId(isDirected,edgeObj.v,edgeObj.w,edgeObj.name)}},{"./lodash":75}],73:[function(require,module,exports){module.exports={Graph:require("./graph"),version:require("./version")}},{"./graph":72,"./version":76}],74:[function(require,module,exports){var _=require("./lodash"),Graph=require("./graph");module.exports={write:write,read:read};function write(g){var json={options:{directed:g.isDirected(),multigraph:g.isMultigraph(),compound:g.isCompound()},nodes:writeNodes(g),edges:writeEdges(g)};if(!_.isUndefined(g.graph())){json.value=_.clone(g.graph())}return json}function writeNodes(g){return _.map(g.nodes(),function(v){var nodeValue=g.node(v),parent=g.parent(v),node={v:v};if(!_.isUndefined(nodeValue)){node.value=nodeValue}if(!_.isUndefined(parent)){node.parent=parent}return node})}function writeEdges(g){return _.map(g.edges(),function(e){var edgeValue=g.edge(e),edge={v:e.v,w:e.w};if(!_.isUndefined(e.name)){edge.name=e.name}if(!_.isUndefined(edgeValue)){edge.value=edgeValue}return edge})}function read(json){var g=new Graph(json.options).setGraph(json.value);_.each(json.nodes,function(entry){g.setNode(entry.v,entry.value);if(entry.parent){g.setParent(entry.v,entry.parent)}});_.each(json.edges,function(entry){g.setEdge({v:entry.v,w:entry.w,name:entry.name},entry.value)});return g}},{"./graph":72,"./lodash":75}],75:[function(require,module,exports){module.exports=require(20)},{"/Users/andrew/Documents/dev/dagre-d3/lib/lodash.js":20,lodash:77}],76:[function(require,module,exports){module.exports="1.0.1"},{}],77:[function(require,module,exports){(function(global){(function(){var undefined;var arrayPool=[],objectPool=[];var idCounter=0;var keyPrefix=+new Date+"";var largeArraySize=75;var maxPoolSize=40;var whitespace=" \f \ufeff"+"\n\r\u2028\u2029"+" ";var reEmptyStringLeading=/\b__p \+= '';/g,reEmptyStringMiddle=/\b(__p \+=) '' 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-do{v=_.uniqueId(name)}while(g.hasNode(v));attrs.dummy=type;g.setNode(v,attrs);return v}function simplify(g){var simplified=(new Graph).setGraph(g.graph());_.each(g.nodes(),function(v){simplified.setNode(v,g.node(v))});_.each(g.edges(),function(e){var simpleLabel=simplified.edge(e.v,e.w)||{weight:0,minlen:1},label=g.edge(e);simplified.setEdge(e.v,e.w,{weight:simpleLabel.weight+label.weight,minlen:Math.max(simpleLabel.minlen,label.minlen)})});return simplified}function asNonCompoundGraph(g){var simplified=new Graph({multigraph:g.isMultigraph()}).setGraph(g.graph());_.each(g.nodes(),function(v){if(!g.children(v).length){simplified.setNode(v,g.node(v))}});_.each(g.edges(),function(e){simplified.setEdge(e,g.edge(e))});return simplified}function successorWeights(g){var weightMap=_.map(g.nodes(),function(v){var sucs={};_.each(g.outEdges(v),function(e){sucs[e.w]=(sucs[e.w]||0)+g.edge(e).weight});return sucs});return _.zipObject(g.nodes(),weightMap)}function predecessorWeights(g){var weightMap=_.map(g.nodes(),function(v){var preds={};_.each(g.inEdges(v),function(e){preds[e.v]=(preds[e.v]||0)+g.edge(e).weight});return preds});return _.zipObject(g.nodes(),weightMap)}function intersectRect(rect,point){var x=rect.x;var y=rect.y;var dx=point.x-x;var dy=point.y-y;var w=rect.width/2;var h=rect.height/2;if(!dx&&!dy){throw new Error("Not possible to find intersection inside of the rectangle")}var sx,sy;if(Math.abs(dy)*w>Math.abs(dx)*h){if(dy<0){h=-h}sx=h*dx/dy;sy=h}else{if(dx<0){w=-w}sx=w;sy=w*dy/dx}return{x:x+sx,y:y+sy}}function buildLayerMatrix(g){var layering=_.map(_.range(maxRank(g)+1),function(){return[]});_.each(g.nodes(),function(v){var node=g.node(v),rank=node.rank;if(!_.isUndefined(rank)){layering[rank][node.order]=v}});return layering}function normalizeRanks(g){var min=_.min(_.map(g.nodes(),function(v){return g.node(v).rank}));_.each(g.nodes(),function(v){var node=g.node(v);if(_.has(node,"rank")){node.rank-=min}})}function removeEmptyRanks(g){var offset=_.min(_.map(g.nodes(),function(v){return g.node(v).rank}));var layers=[];_.each(g.nodes(),function(v){var rank=g.node(v).rank-offset;if(!_.has(layers,rank)){layers[rank]=[]}layers[rank].push(v)});var delta=0,nodeRankFactor=g.graph().nodeRankFactor;_.each(layers,function(vs,i){if(_.isUndefined(vs)&&i%nodeRankFactor!==0){--delta}else if(delta){_.each(vs,function(v){g.node(v).rank+=delta})}})}function addBorderNode(g,prefix,rank,order){var node={width:0,height:0};if(arguments.length>=4){node.rank=rank;node.order=order}return addDummyNode(g,"border",node,prefix)}function maxRank(g){return _.max(_.map(g.nodes(),function(v){var rank=g.node(v).rank;if(!_.isUndefined(rank)){return rank}}))}function partition(collection,fn){var result={lhs:[],rhs:[]};_.each(collection,function(value){if(fn(value)){result.lhs.push(value)}else{result.rhs.push(value)}});return result}function time(name,fn){var start=_.now();try{return fn()}finally{console.log(name+" time: "+(_.now()-start)+"ms")}}function notime(name,fn){return fn()}},{"./graphlib":33,"./lodash":36}],56:[function(require,module,exports){module.exports="0.7.1"},{}],57:[function(require,module,exports){var lib=require("./lib");module.exports={Graph:lib.Graph,json:require("./lib/json"),alg:require("./lib/alg"),version:lib.version}},{"./lib":73,"./lib/alg":64,"./lib/json":74}],58:[function(require,module,exports){var _=require("../lodash");module.exports=components;function components(g){var visited={},cmpts=[],cmpt;function dfs(v){if(_.has(visited,v))return;visited[v]=true;cmpt.push(v);_.each(g.successors(v),dfs);_.each(g.predecessors(v),dfs)}_.each(g.nodes(),function(v){cmpt=[];dfs(v);if(cmpt.length){cmpts.push(cmpt)}});return cmpts}},{"../lodash":75}],59:[function(require,module,exports){var _=require("../lodash");module.exports=dfs;function dfs(g,vs,order){if(!_.isArray(vs)){vs=[vs]}var acc=[],visited={};_.each(vs,function(v){if(!g.hasNode(v)){throw new Error("Graph does not have node: "+v)}doDfs(g,v,order==="post",visited,acc)});return acc}function doDfs(g,v,postorder,visited,acc){if(!_.has(visited,v)){visited[v]=true;if(!postorder){acc.push(v)}_.each(g.neighbors(v),function(w){doDfs(g,w,postorder,visited,acc)});if(postorder){acc.push(v)}}}},{"../lodash":75}],60:[function(require,module,exports){var dijkstra=require("./dijkstra"),_=require("../lodash");module.exports=dijkstraAll;function dijkstraAll(g,weightFunc,edgeFunc){return _.transform(g.nodes(),function(acc,v){acc[v]=dijkstra(g,v,weightFunc,edgeFunc)},{})}},{"../lodash":75,"./dijkstra":61}],61:[function(require,module,exports){var _=require("../lodash"),PriorityQueue=require("../data/priority-queue");module.exports=dijkstra;var DEFAULT_WEIGHT_FUNC=_.constant(1);function dijkstra(g,source,weightFn,edgeFn){return runDijkstra(g,String(source),weightFn||DEFAULT_WEIGHT_FUNC,edgeFn||function(v){return g.outEdges(v)})}function runDijkstra(g,source,weightFn,edgeFn){var results={},pq=new PriorityQueue,v,vEntry;var updateNeighbors=function(edge){var w=edge.v!==v?edge.v:edge.w,wEntry=results[w],weight=weightFn(edge),distance=vEntry.distance+weight;if(weight<0){throw new Error("dijkstra does not allow negative edge weights. "+"Bad edge: "+edge+" Weight: "+weight)}if(distance0){v=pq.removeMin();vEntry=results[v];if(vEntry.distance===Number.POSITIVE_INFINITY){break}edgeFn(v).forEach(updateNeighbors)}return results}},{"../data/priority-queue":71,"../lodash":75}],62:[function(require,module,exports){var _=require("../lodash"),tarjan=require("./tarjan");module.exports=findCycles;function findCycles(g){return _.filter(tarjan(g),function(cmpt){return cmpt.length>1})}},{"../lodash":75,"./tarjan":69}],63:[function(require,module,exports){var _=require("../lodash");module.exports=floydWarshall;var DEFAULT_WEIGHT_FUNC=_.constant(1);function floydWarshall(g,weightFn,edgeFn){return runFloydWarshall(g,weightFn||DEFAULT_WEIGHT_FUNC,edgeFn||function(v){return g.outEdges(v)})}function runFloydWarshall(g,weightFn,edgeFn){var results={},nodes=g.nodes();nodes.forEach(function(v){results[v]={};results[v][v]={distance:0};nodes.forEach(function(w){if(v!==w){results[v][w]={distance:Number.POSITIVE_INFINITY}}});edgeFn(v).forEach(function(edge){var w=edge.v===v?edge.w:edge.v,d=weightFn(edge);results[v][w]={distance:d,predecessor:v}})});nodes.forEach(function(k){var rowK=results[k];nodes.forEach(function(i){var rowI=results[i];nodes.forEach(function(j){var ik=rowI[k];var kj=rowK[j];var ij=rowI[j];var altDistance=ik.distance+kj.distance;if(altDistance0){v=pq.removeMin();if(_.has(parents,v)){result.setEdge(v,parents[v])}else if(init){throw new Error("Input graph is not connected: "+g)}else{init=true}g.nodeEdges(v).forEach(updateNeighbors)}return result}},{"../data/priority-queue":71,"../graph":72,"../lodash":75}],69:[function(require,module,exports){var _=require("../lodash");module.exports=tarjan;function tarjan(g){var index=0,stack=[],visited={},results=[];function dfs(v){var entry=visited[v]={onStack:true,lowlink:index,index:index++};stack.push(v);g.successors(v).forEach(function(w){if(!_.has(visited,w)){dfs(w);entry.lowlink=Math.min(entry.lowlink,visited[w].lowlink)}else if(visited[w].onStack){entry.lowlink=Math.min(entry.lowlink,visited[w].index)}});if(entry.lowlink===entry.index){var cmpt=[],w;do{w=stack.pop();visited[w].onStack=false;cmpt.push(w)}while(v!==w);results.push(cmpt)}}g.nodes().forEach(function(v){if(!_.has(visited,v)){dfs(v)}});return results}},{"../lodash":75}],70:[function(require,module,exports){var _=require("../lodash");module.exports=topsort;topsort.CycleException=CycleException;function topsort(g){var visited={},stack={},results=[];function visit(node){if(_.has(stack,node)){throw new CycleException}if(!_.has(visited,node)){stack[node]=true;visited[node]=true;_.each(g.predecessors(node),visit);delete stack[node];results.push(node)}}_.each(g.sinks(),visit);if(_.size(visited)!==g.nodeCount()){throw new CycleException}return results}function CycleException(){}},{"../lodash":75}],71:[function(require,module,exports){var _=require("../lodash");module.exports=PriorityQueue;function PriorityQueue(){this._arr=[];this._keyIndices={}}PriorityQueue.prototype.size=function(){return this._arr.length};PriorityQueue.prototype.keys=function(){return this._arr.map(function(x){return x.key})};PriorityQueue.prototype.has=function(key){return _.has(this._keyIndices,key)};PriorityQueue.prototype.priority=function(key){var index=this._keyIndices[key];if(index!==undefined){return this._arr[index].priority}};PriorityQueue.prototype.min=function(){if(this.size()===0){throw new Error("Queue underflow")}return this._arr[0].key};PriorityQueue.prototype.add=function(key,priority){var keyIndices=this._keyIndices;key=String(key);if(!_.has(keyIndices,key)){var arr=this._arr;var index=arr.length;keyIndices[key]=index;arr.push({key:key,priority:priority});this._decrease(index);return true}return false};PriorityQueue.prototype.removeMin=function(){this._swap(0,this._arr.length-1);var min=this._arr.pop();delete this._keyIndices[min.key];this._heapify(0);return min.key};PriorityQueue.prototype.decrease=function(key,priority){var index=this._keyIndices[key];if(priority>this._arr[index].priority){throw new Error("New priority is greater than current priority. "+"Key: "+key+" Old: "+this._arr[index].priority+" New: "+priority)}this._arr[index].priority=priority;this._decrease(index)};PriorityQueue.prototype._heapify=function(i){var arr=this._arr;var l=2*i,r=l+1,largest=i;if(l>1;if(arr[parent].priority1){this.setNode(v,value)}else{this.setNode(v)}},this);return this};Graph.prototype.setNode=function(v,value){if(_.has(this._nodes,v)){if(arguments.length>1){this._nodes[v]=value}return this}this._nodes[v]=arguments.length>1?value:this._defaultNodeLabelFn(v);if(this._isCompound){this._parent[v]=GRAPH_NODE;this._children[v]={};this._children[GRAPH_NODE][v]=true}this._in[v]={};this._preds[v]={};this._out[v]={};this._sucs[v]={};++this._nodeCount;return this};Graph.prototype.node=function(v){return this._nodes[v]};Graph.prototype.hasNode=function(v){return _.has(this._nodes,v)};Graph.prototype.removeNode=function(v){var self=this;if(_.has(this._nodes,v)){var removeEdge=function(e){self.removeEdge(self._edgeObjs[e])};delete this._nodes[v];if(this._isCompound){this._removeFromParentsChildList(v);delete this._parent[v];_.each(this.children(v),function(child){this.setParent(child)},this);delete this._children[v]}_.each(_.keys(this._in[v]),removeEdge);delete this._in[v];delete this._preds[v];_.each(_.keys(this._out[v]),removeEdge);delete this._out[v];delete this._sucs[v];--this._nodeCount}return this};Graph.prototype.setParent=function(v,parent){if(!this._isCompound){throw new Error("Cannot set parent in a non-compound graph")}if(_.isUndefined(parent)){parent=GRAPH_NODE}else{for(var ancestor=parent;!_.isUndefined(ancestor);ancestor=this.parent(ancestor)){if(ancestor===v){throw new Error("Setting "+parent+" as parent of "+v+" would create create a cycle")}}this.setNode(parent)}this.setNode(v);this._removeFromParentsChildList(v);this._parent[v]=parent;this._children[parent][v]=true;return this};Graph.prototype._removeFromParentsChildList=function(v){delete 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* svg >
- * g#cluster_stage_[stageId]
+ * g.cluster_stage_[stageId]
*
* Note that the input metadata is populated by o.a.s.ui.UIUtils.showDagViz.
* Any changes in the input format here must be reflected there.
@@ -115,17 +115,23 @@ function renderDagViz(forJob) {
// If there is not a dot file to render, fail fast and report error
var jobOrStage = forJob ? "job" : "stage";
- if (metadataContainer().empty()) {
- graphContainer()
- .append("div")
- .text("No visualization information available for this " + jobOrStage);
+ if (metadataContainer().empty() ||
+ metadataContainer().selectAll("div").empty()) {
+ var message =
+ "No visualization information available for this " + jobOrStage + "! spark.ui.retainedJobs and spark.ui.retainedStages .";
+ } else {
+ message += "spark.ui.retainedStages ";
+ }
+ graphContainer().append("div").attr("id", "empty-dag-viz-message").html(message);
return;
}
// Render
- var svg = graphContainer()
- .append("svg")
- .attr("class", jobOrStage);
+ var svg = graphContainer().append("svg").attr("class", jobOrStage);
if (forJob) {
renderDagVizForJob(svg);
} else {
@@ -135,11 +141,9 @@ function renderDagViz(forJob) {
// Find cached RDDs and mark them as such
metadataContainer().selectAll(".cached-rdd").each(function(v) {
var nodeId = VizConstants.nodePrefix + d3.select(this).text();
- svg.selectAll("#" + nodeId).classed("cached", true);
+ svg.selectAll("g." + nodeId).classed("cached", true);
});
- // More post-processing
- drawClusterLabels(svg, forJob);
resizeSvg(svg);
}
@@ -149,11 +153,11 @@ function renderDagVizForStage(svgContainer) {
var dot = metadata.select(".dot-file").text();
var containerId = VizConstants.graphPrefix + metadata.attr("stage-id");
var container = svgContainer.append("g").attr("id", containerId);
- renderDot(dot, container);
+ renderDot(dot, container, false);
- // Round corners on RDDs
+ // Round corners on rectangles
svgContainer
- .selectAll("g.node rect")
+ .selectAll("rect")
.attr("rx", "5")
.attr("ry", "5");
}
@@ -177,29 +181,35 @@ function renderDagVizForJob(svgContainer) {
var dot = metadata.select(".dot-file").text();
var stageId = metadata.attr("stage-id");
var containerId = VizConstants.graphPrefix + stageId;
- // Link each graph to the corresponding stage page (TODO: handle stage attempts)
- var stageLink =
- "/stages/stage/?id=" + stageId.replace(VizConstants.stagePrefix, "") + "&attempt=0";
- var container = svgContainer
- .append("a")
- .attr("xlink:href", stageLink)
- .append("g")
- .attr("id", containerId);
+ var isSkipped = metadata.attr("skipped") == "true";
+ var container;
+ if (isSkipped) {
+ container = svgContainer
+ .append("g")
+ .attr("id", containerId)
+ .attr("skipped", "true");
+ } else {
+ // Link each graph to the corresponding stage page (TODO: handle stage attempts)
+ // Use the link from the stage table so it also works for the history server
+ var attemptId = 0
+ var stageLink = d3.select("#stage-" + stageId + "-" + attemptId)
+ .select("a")
+ .attr("href") + "&expandDagViz=true";
+ container = svgContainer
+ .append("a")
+ .attr("xlink:href", stageLink)
+ .append("g")
+ .attr("id", containerId);
+ }
// Now we need to shift the container for this stage so it doesn't overlap with
// existing ones, taking into account the position and width of the last stage's
// container. We do not need to do this for the first stage of this job.
if (i > 0) {
- var existingStages = svgContainer
- .selectAll("g.cluster")
- .filter("[id*=\"" + VizConstants.stageClusterPrefix + "\"]");
+ var existingStages = svgContainer.selectAll("g.cluster.stage")
if (!existingStages.empty()) {
var lastStage = d3.select(existingStages[0].pop());
- var lastStageId = lastStage.attr("id");
- var lastStageWidth = toFloat(svgContainer
- .select("#" + lastStageId)
- .select("rect")
- .attr("width"));
+ var lastStageWidth = toFloat(lastStage.select("rect").attr("width"));
var lastStagePosition = getAbsolutePosition(lastStage);
var offset = lastStagePosition.x + lastStageWidth + VizConstants.stageSep;
container.attr("transform", "translate(" + offset + ", 0)");
@@ -207,7 +217,19 @@ function renderDagVizForJob(svgContainer) {
}
// Actually render the stage
- renderDot(dot, container);
+ renderDot(dot, container, true);
+
+ // Mark elements as skipped if appropriate. Unfortunately we need to mark all
+ // elements instead of the parent container because of CSS override rules.
+ if (isSkipped) {
+ container.selectAll("g").classed("skipped", true);
+ }
+
+ // Round corners on rectangles
+ container
+ .selectAll("rect")
+ .attr("rx", "4")
+ .attr("ry", "4");
// If there are any incoming edges into this graph, keep track of them to render
// them separately later. Note that we cannot draw them now because we need to
@@ -218,18 +240,23 @@ function renderDagVizForJob(svgContainer) {
});
});
+ addTooltipsForRDDs(svgContainer);
drawCrossStageEdges(crossStageEdges, svgContainer);
}
/* Render the dot file as an SVG in the given container. */
-function renderDot(dot, container) {
+function renderDot(dot, container, forJob) {
var escaped_dot = dot
.replace(/</g, "<")
.replace(/>/g, ">")
.replace(/"/g, "\"");
var g = graphlibDot.read(escaped_dot);
var renderer = new dagreD3.render();
+ preprocessGraphLayout(g, forJob);
renderer(container, g);
+
+ // Find the stage cluster and mark it for styling and post-processing
+ container.selectAll("g.cluster[name*=\"Stage\"]").classed("stage", true);
}
/* -------------------- *
@@ -241,49 +268,38 @@ function graphContainer() { return d3.select("#dag-viz-graph"); }
function metadataContainer() { return d3.select("#dag-viz-metadata"); }
/*
- * Helper function to create draw a label for each cluster.
- *
- * We need to do this manually because dagre-d3 does not support labeling clusters.
- * In general, the clustering support for dagre-d3 is quite limited at this point.
+ * Helper function to pre-process the graph layout.
+ * This step is necessary for certain styles that affect the positioning
+ * and sizes of graph elements, e.g. padding, font style, shape.
*/
-function drawClusterLabels(svgContainer, forJob) {
+function preprocessGraphLayout(g, forJob) {
+ var nodes = g.nodes();
+ for (var i = 0; i < nodes.length; i++) {
+ var isCluster = g.children(nodes[i]).length > 0;
+ if (!isCluster) {
+ var node = g.node(nodes[i]);
+ if (forJob) {
+ // Do not display RDD name on job page
+ node.shape = "circle";
+ node.labelStyle = "font-size: 0px";
+ } else {
+ node.labelStyle = "font-size: 12px";
+ }
+ node.padding = "5";
+ }
+ }
+ // Curve the edges
+ var edges = g.edges();
+ for (var j = 0; j < edges.length; j++) {
+ var edge = g.edge(edges[j]);
+ edge.lineInterpolate = "basis";
+ }
+ // Adjust vertical separation between nodes
if (forJob) {
- var clusterLabelSize = JobPageVizConstants.clusterLabelSize;
- var stageClusterLabelSize = JobPageVizConstants.stageClusterLabelSize;
+ g.graph().rankSep = JobPageVizConstants.rankSep;
} else {
- var clusterLabelSize = StagePageVizConstants.clusterLabelSize;
- var stageClusterLabelSize = StagePageVizConstants.stageClusterLabelSize;
+ g.graph().rankSep = StagePageVizConstants.rankSep;
}
- svgContainer.selectAll("g.cluster").each(function() {
- var cluster = d3.select(this);
- var isStage = cluster.attr("id").indexOf(VizConstants.stageClusterPrefix) > -1;
- var labelSize = isStage ? stageClusterLabelSize : clusterLabelSize;
- drawClusterLabel(cluster, labelSize);
- });
-}
-
-/*
- * Helper function to draw a label for the given cluster element based on its name.
- *
- * In the process, we need to expand the bounding box to make room for the label.
- * We need to do this because dagre-d3 did not take this into account when it first
- * rendered the bounding boxes. Note that this means we need to adjust the view box
- * of the SVG afterwards since we shifted a few boxes around.
- */
-function drawClusterLabel(d3cluster, fontSize) {
- var cluster = d3cluster;
- var rect = d3cluster.select("rect");
- rect.attr("y", toFloat(rect.attr("y")) - fontSize);
- rect.attr("height", toFloat(rect.attr("height")) + fontSize);
- var labelX = toFloat(rect.attr("x")) + toFloat(rect.attr("width")) - fontSize / 2;
- var labelY = toFloat(rect.attr("y")) + fontSize * 1.5;
- var labelText = cluster.attr("name").replace(VizConstants.clusterPrefix, "");
- cluster.append("text")
- .attr("x", labelX)
- .attr("y", labelY)
- .attr("text-anchor", "end")
- .style("font-size", fontSize)
- .text(labelText);
}
/*
@@ -302,12 +318,12 @@ function resizeSvg(svg) {
}));
var endX = VizConstants.svgMarginX +
toFloat(d3.max(allClusters, function(e) {
- var t = d3.select(e)
+ var t = d3.select(e);
return getAbsolutePosition(t).x + toFloat(t.attr("width"));
}));
var endY = VizConstants.svgMarginY +
toFloat(d3.max(allClusters, function(e) {
- var t = d3.select(e)
+ var t = d3.select(e);
return getAbsolutePosition(t).y + toFloat(t.attr("height"));
}));
var width = endX - startX;
@@ -337,7 +353,7 @@ function drawCrossStageEdges(edges, svgContainer) {
if (!dagreD3Marker.empty()) {
svgContainer
.append(function() { return dagreD3Marker.node().cloneNode(true); })
- .attr("id", "marker-arrow")
+ .attr("id", "marker-arrow");
svgContainer.selectAll("g > path").attr("marker-end", "url(#marker-arrow)");
svgContainer.selectAll("g.edgePaths def").remove(); // We no longer need these
}
@@ -375,14 +391,14 @@ function getAbsolutePosition(d3selection) {
function connectRDDs(fromRDDId, toRDDId, edgesContainer, svgContainer) {
var fromNodeId = VizConstants.nodePrefix + fromRDDId;
var toNodeId = VizConstants.nodePrefix + toRDDId;
- var fromPos = getAbsolutePosition(svgContainer.select("#" + fromNodeId));
- var toPos = getAbsolutePosition(svgContainer.select("#" + toNodeId));
+ var fromPos = getAbsolutePosition(svgContainer.select("g." + fromNodeId));
+ var toPos = getAbsolutePosition(svgContainer.select("g." + toNodeId));
// On the job page, RDDs are rendered as dots (circles). When rendering the path,
// we need to account for the radii of these circles. Otherwise the arrow heads
// will bleed into the circle itself.
var delta = toFloat(svgContainer
- .select("g.node#" + toNodeId)
+ .select("g.node." + toNodeId)
.select("circle")
.attr("r"));
if (fromPos.x < toPos.x) {
@@ -393,12 +409,13 @@ function connectRDDs(fromRDDId, toRDDId, edgesContainer, svgContainer) {
toPos.x += delta;
}
+ var points;
if (fromPos.y == toPos.y) {
// If they are on the same rank, curve the middle part of the edge
// upward a little to avoid interference with things in between
// e.g. _______
// _____/ \_____
- var points = [
+ points = [
[fromPos.x, fromPos.y],
[fromPos.x + (toPos.x - fromPos.x) * 0.2, fromPos.y],
[fromPos.x + (toPos.x - fromPos.x) * 0.3, fromPos.y - 20],
@@ -412,7 +429,7 @@ function connectRDDs(fromRDDId, toRDDId, edgesContainer, svgContainer) {
// /
// |
// _____/
- var points = [
+ points = [
[fromPos.x, fromPos.y],
[fromPos.x + (toPos.x - fromPos.x) * 0.4, fromPos.y],
[fromPos.x + (toPos.x - fromPos.x) * 0.6, toPos.y],
@@ -424,6 +441,46 @@ function connectRDDs(fromRDDId, toRDDId, edgesContainer, svgContainer) {
edgesContainer.append("path").datum(points).attr("d", line);
}
+/* (Job page only) Helper function to add tooltips for RDDs. */
+function addTooltipsForRDDs(svgContainer) {
+ svgContainer.selectAll("g.node").each(function() {
+ var node = d3.select(this);
+ var tooltipText = node.attr("name");
+ if (tooltipText) {
+ node.select("circle")
+ .attr("data-toggle", "tooltip")
+ .attr("data-placement", "bottom")
+ .attr("title", tooltipText);
+ }
+ // Link tooltips for all nodes that belong to the same RDD
+ node.on("mouseenter", function() { triggerTooltipForRDD(node, true); });
+ node.on("mouseleave", function() { triggerTooltipForRDD(node, false); });
+ });
+
+ $("[data-toggle=tooltip]")
+ .filter("g.node circle")
+ .tooltip({ container: "body", trigger: "manual" });
+}
+
+/*
+ * (Job page only) Helper function to show or hide tooltips for all nodes
+ * in the graph that refer to the same RDD the specified node represents.
+ */
+function triggerTooltipForRDD(d3node, show) {
+ var classes = d3node.node().classList;
+ for (var i = 0; i < classes.length; i++) {
+ var clazz = classes[i];
+ var isRDDClass = clazz.indexOf(VizConstants.nodePrefix) == 0;
+ if (isRDDClass) {
+ graphContainer().selectAll("g." + clazz).each(function() {
+ var circle = d3.select(this).select("circle").node();
+ var showOrHide = show ? "show" : "hide";
+ $(circle).tooltip(showOrHide);
+ });
+ }
+ }
+}
+
/* Helper function to convert attributes to numeric values. */
function toFloat(f) {
if (f) {
diff --git a/core/src/main/resources/org/apache/spark/ui/static/timeline-view.css b/core/src/main/resources/org/apache/spark/ui/static/timeline-view.css
index 35ef14e5aaf1a..0f400461c5293 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/timeline-view.css
+++ b/core/src/main/resources/org/apache/spark/ui/static/timeline-view.css
@@ -19,10 +19,74 @@ div#application-timeline, div#job-timeline {
margin-bottom: 30px;
}
-#application-timeline div.legend-area {
+#application-timeline div.legend-area,
+#job-timeline div.legend-area {
margin-top: 5px;
}
+#task-assignment-timeline div.legend-area {
+ width: 574px;
+}
+
+#task-assignment-timeline .legend-area > svg {
+ width: 100%;
+ height: 55px;
+}
+
+#task-assignment-timeline div.item.range {
+ padding: 0px;
+ height: 26px;
+ border-width: 0;
+}
+
+.task-assignment-timeline-content {
+ width: 100%;
+}
+
+.task-assignment-timeline-duration-bar {
+ width: 100%;
+ height: 26px;
+}
+
+rect.scheduler-delay-proportion {
+ fill: #80B1D3;
+ stroke: #6B94B0;
+}
+
+rect.deserialization-time-proportion {
+ fill: #FB8072;
+ stroke: #D26B5F;
+}
+
+rect.shuffle-read-time-proportion {
+ fill: #FDB462;
+ stroke: #D39651;
+}
+
+rect.executor-runtime-proportion {
+ fill: #B3DE69;
+ stroke: #95B957;
+}
+
+rect.shuffle-write-time-proportion {
+ fill: #FFED6F;
+ stroke: #D5C65C;
+}
+
+rect.serialization-time-proportion {
+ fill: #BC80BD;
+ stroke: #9D6B9E;
+}
+
+rect.getting-result-time-proportion {
+ fill: #8DD3C7;
+ stroke: #75B0A6;
+}
+
+.vis.timeline {
+ line-height: 14px;
+}
+
.vis.timeline div.content {
width: 100%;
}
@@ -32,48 +96,55 @@ div#application-timeline, div#job-timeline {
}
.vis.timeline .item.stage.succeeded {
- background-color: #D5DDF6;
+ background-color: #A0DFFF;
+ border-color: #3EC0FF;
}
.vis.timeline .item.stage.succeeded.selected {
- background-color: #D5DDF6;
- border-color: #97B0F8;
- z-index: auto;
+ background-color: #A0DFFF;
+ border-color: #3EC0FF;
+ z-index: auto;
}
.legend-area rect.completed-stage-legend {
- fill: #D5DDF6;
- stroke: #97B0F8;
+ fill: #A0DFFF;
+ stroke: #3EC0FF;
}
.vis.timeline .item.stage.failed {
- background-color: #FF5475;
+ background-color: #FFA1B0;
+ border-color: #FF4D6D;
}
.vis.timeline .item.stage.failed.selected {
- background-color: #FF5475;
- border-color: #97B0F8;
- z-index: auto;
+ background-color: #FFA1B0;
+ border-color: #FF4D6D;
+ z-index: auto;
}
.legend-area rect.failed-stage-legend {
- fill: #FF5475;
- stroke: #97B0F8;
+ fill: #FFA1B0;
+ stroke: #FF4D6D;
}
.vis.timeline .item.stage.running {
- background-color: #FDFFCA;
+ background-color: #A2FCC0;
+ border-color: #36F572;
}
.vis.timeline .item.stage.running.selected {
- background-color: #FDFFCA;
- border-color: #97B0F8;
- z-index: auto;
+ background-color: #A2FCC0;
+ border-color: #36F572;
+ z-index: auto;
}
.legend-area rect.active-stage-legend {
- fill: #FDFFCA;
- stroke: #97B0F8;
+ fill: #A2FCC0;
+ stroke: #36F572;
+}
+
+.vis.timeline .foreground {
+ cursor: move;
}
.vis.timeline .item.job {
@@ -81,76 +152,81 @@ div#application-timeline, div#job-timeline {
}
.vis.timeline .item.job.succeeded {
- background-color: #D5DDF6;
+ background-color: #A0DFFF;
+ border-color: #3EC0FF;
}
.vis.timeline .item.job.succeeded.selected {
- background-color: #D5DDF6;
- border-color: #97B0F8;
- z-index: auto;
+ background-color: #A0DFFF;
+ border-color: #3EC0FF;
+ z-index: auto;
}
.legend-area rect.succeeded-job-legend {
- fill: #D5DDF6;
- stroke: #97B0F8;
+ fill: #A0DFFF;
+ stroke: #3EC0FF;
}
.vis.timeline .item.job.failed {
- background-color: #FF5475;
+ background-color: #FFA1B0;
+ border-color: #FF4D6D;
}
.vis.timeline .item.job.failed.selected {
- background-color: #FF5475;
- border-color: #97B0F8;
- z-index: auto;
+ background-color: #FFA1B0;
+ border-color: #FF4D6D;
+ z-index: auto;
}
.legend-area rect.failed-job-legend {
- fill: #FF5475;
- stroke: #97B0F8;
+ fill: #FFA1B0;
+ stroke: #FF4D6D;
}
.vis.timeline .item.job.running {
- background-color: #FDFFCA;
+ background-color: #A2FCC0;
+ border-color: #36F572;
}
.vis.timeline .item.job.running.selected {
- background-color: #FDFFCA;
- border-color: #97B0F8;
- z-index: auto;
+ background-color: #A2FCC0;
+ border-color: #36F572;
+ z-index: auto;
}
.legend-area rect.running-job-legend {
- fill: #FDFFCA;
- stroke: #97B0F8;
+ fill: #A2FCC0;
+ stroke: #36F572;
}
.vis.timeline .item.executor.added {
- background-color: #D5DDF6;
+ background-color: #A0DFFF;
+ border-color: #3EC0FF;
}
.legend-area rect.executor-added-legend {
- fill: #D5DDF6;
- stroke: #97B0F8;
+ fill: #A0DFFF;
+ stroke: #3EC0FF;
}
.vis.timeline .item.executor.removed {
- background-color: #EBCA59;
+ background-color: #FFA1B0;
+ border-color: #FF4D6D;
}
.legend-area rect.executor-removed-legend {
- fill: #EBCA59;
- stroke: #97B0F8;
+ fill: #FFA1B0;
+ stroke: #FF4D6D;
}
.vis.timeline .item.executor.selected {
- border-color: #FFC200;
- background-color: #FFF785;
+ background-color: #A2FCC0;
+ border-color: #36F572;
z-index: 2;
}
-tr.corresponding-item-hover>td, tr.corresponding-item-hover>th {
- background-color: #FFE1FA !important;
+tr.corresponding-item-hover > td, tr.corresponding-item-hover > th {
+ background-color: #D6FFE4 !important;
}
#application-timeline.collapsed {
@@ -161,15 +237,24 @@ tr.corresponding-item-hover>td, tr.corresponding-item-hover>th {
display: none;
}
+#task-assignment-timeline.collapsed {
+ display: none;
+}
+
.control-panel {
margin-bottom: 5px;
}
-span.expand-application-timeline, span.expand-job-timeline {
+.control-panel input[type="checkbox"] {
+ margin: 0;
+}
+
+span.expand-application-timeline, span.expand-job-timeline,
+span.expand-task-assignment-timeline {
cursor: pointer;
}
-.control-panel input+span {
+.control-panel input + span {
cursor: pointer;
}
@@ -180,3 +265,17 @@ span.expand-application-timeline, span.expand-job-timeline {
.vis.timeline .item .tooltip-inner {
max-width: unset !important;
}
+
+.vispanel.center {
+ font-size: 12px;
+ line-height: 12px;
+}
+
+.legend-area text {
+ fill: #4D4D4D;
+}
+
+.additional-metrics ul {
+ list-style: none;
+ margin-left: 15px;
+}
diff --git a/core/src/main/resources/org/apache/spark/ui/static/timeline-view.js b/core/src/main/resources/org/apache/spark/ui/static/timeline-view.js
index e4a891d47f035..604c29994145a 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/timeline-view.js
+++ b/core/src/main/resources/org/apache/spark/ui/static/timeline-view.js
@@ -39,23 +39,24 @@ function drawApplicationTimeline(groupArray, eventObjArray, startTime) {
function setupJobEventAction() {
$(".item.range.job.application-timeline-object").each(function() {
- var getJobId = function(baseElem) {
+ var getSelectorForJobEntry = function(baseElem) {
var jobIdText = $($(baseElem).find(".application-timeline-content")[0]).text();
var jobId = jobIdText.match("\\(Job (\\d+)\\)")[1];
- return jobId;
+ return "#job-" + jobId;
};
$(this).click(function() {
- window.location.href = "job/?id=" + getJobId(this);
+ var jobPagePath = $(getSelectorForJobEntry(this)).find("a").attr("href")
+ window.location.href = jobPagePath
});
$(this).hover(
function() {
- $("#job-" + getJobId(this)).addClass("corresponding-item-hover");
+ $(getSelectorForJobEntry(this)).addClass("corresponding-item-hover");
$($(this).find("div.application-timeline-content")[0]).tooltip("show");
},
function() {
- $("#job-" + getJobId(this)).removeClass("corresponding-item-hover");
+ $(getSelectorForJobEntry(this)).removeClass("corresponding-item-hover");
$($(this).find("div.application-timeline-content")[0]).tooltip("hide");
}
);
@@ -97,32 +98,24 @@ function drawJobTimeline(groupArray, eventObjArray, startTime) {
function setupStageEventAction() {
$(".item.range.stage.job-timeline-object").each(function() {
- var getStageIdAndAttempt = function(baseElem) {
+ var getSelectorForStageEntry = function(baseElem) {
var stageIdText = $($(baseElem).find(".job-timeline-content")[0]).text();
var stageIdAndAttempt = stageIdText.match("\\(Stage (\\d+\\.\\d+)\\)")[1].split(".");
- return stageIdAndAttempt;
+ return "#stage-" + stageIdAndAttempt[0] + "-" + stageIdAndAttempt[1];
};
$(this).click(function() {
- var idAndAttempt = getStageIdAndAttempt(this);
- var id = idAndAttempt[0];
- var attempt = idAndAttempt[1];
- window.location.href = "../../stages/stage/?id=" + id + "&attempt=" + attempt;
+ var stagePagePath = $(getSelectorForStageEntry(this)).find("a").attr("href")
+ window.location.href = stagePagePath
});
$(this).hover(
function() {
- var idAndAttempt = getStageIdAndAttempt(this);
- var id = idAndAttempt[0];
- var attempt = idAndAttempt[1];
- $("#stage-" + id + "-" + attempt).addClass("corresponding-item-hover");
+ $(getSelectorForStageEntry(this)).addClass("corresponding-item-hover");
$($(this).find("div.job-timeline-content")[0]).tooltip("show");
},
function() {
- var idAndAttempt = getStageIdAndAttempt(this);
- var id = idAndAttempt[0];
- var attempt = idAndAttempt[1];
- $("#stage-" + id + "-" + attempt).removeClass("corresponding-item-hover");
+ $(getSelectorForStageEntry(this)).removeClass("corresponding-item-hover");
$($(this).find("div.job-timeline-content")[0]).tooltip("hide");
}
);
@@ -140,6 +133,57 @@ function drawJobTimeline(groupArray, eventObjArray, startTime) {
});
}
+function drawTaskAssignmentTimeline(groupArray, eventObjArray, minLaunchTime, maxFinishTime) {
+ var groups = new vis.DataSet(groupArray);
+ var items = new vis.DataSet(eventObjArray);
+ var container = $("#task-assignment-timeline")[0]
+ var options = {
+ groupOrder: function(a, b) {
+ return a.value - b.value
+ },
+ editable: false,
+ align: 'left',
+ selectable: false,
+ showCurrentTime: false,
+ min: minLaunchTime,
+ max: maxFinishTime,
+ zoomable: false
+ };
+
+ var taskTimeline = new vis.Timeline(container)
+ taskTimeline.setOptions(options);
+ taskTimeline.setGroups(groups);
+ taskTimeline.setItems(items);
+
+ // If a user zooms while a tooltip is displayed, the user may zoom such that the cursor is no
+ // longer over the task that the tooltip corresponds to. So, when a user zooms, we should hide
+ // any currently displayed tooltips.
+ var currentDisplayedTooltip = null;
+ $("#task-assignment-timeline").on({
+ "mouseenter": function() {
+ currentDisplayedTooltip = this;
+ },
+ "mouseleave": function() {
+ currentDisplayedTooltip = null;
+ }
+ }, ".task-assignment-timeline-content");
+ taskTimeline.on("rangechange", function(prop) {
+ if (currentDisplayedTooltip !== null) {
+ $(currentDisplayedTooltip).tooltip("hide");
+ }
+ });
+
+ setupZoomable("#task-assignment-timeline-zoom-lock", taskTimeline);
+
+ $("span.expand-task-assignment-timeline").click(function() {
+ $("#task-assignment-timeline").toggleClass("collapsed");
+
+ // Switch the class of the arrow from open to closed.
+ $(this).find(".expand-task-assignment-timeline-arrow").toggleClass("arrow-open");
+ $(this).find(".expand-task-assignment-timeline-arrow").toggleClass("arrow-closed");
+ });
+}
+
function setupExecutorEventAction() {
$(".item.box.executor").each(function () {
$(this).hover(
@@ -154,15 +198,15 @@ function setupExecutorEventAction() {
}
function setupZoomable(id, timeline) {
- $(id + '>input[type="checkbox"]').click(function() {
+ $(id + ' > input[type="checkbox"]').click(function() {
if (this.checked) {
- timeline.setOptions({zoomable: false});
- } else {
timeline.setOptions({zoomable: true});
+ } else {
+ timeline.setOptions({zoomable: false});
}
});
- $(id + ">span").click(function() {
+ $(id + " > span").click(function() {
$(this).parent().find('input:checkbox').trigger('click');
});
}
diff --git a/core/src/main/resources/org/apache/spark/ui/static/vis.map b/core/src/main/resources/org/apache/spark/ui/static/vis.map
deleted file mode 100644
index 9be8b618989b7..0000000000000
--- a/core/src/main/resources/org/apache/spark/ui/static/vis.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/core/src/main/resources/org/apache/spark/ui/static/vis.min.js b/core/src/main/resources/org/apache/spark/ui/static/vis.min.js
index 4af2c818c27a6..2b3b1d60463f7 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/vis.min.js
+++ b/core/src/main/resources/org/apache/spark/ui/static/vis.min.js
@@ -36,4 +36,3 @@ return!e&&this._longDateFormat[t.toUpperCase()]&&(e=this._longDateFormat[t.toUpp
},e.time,this);else if(t.eventType&ke)return pi;return mi},reset:function(){clearTimeout(this._timer)},emit:function(t){this.state===pi&&(t&&t.eventType&ke?this.manager.emit(this.options.event+"up",t):(this._input.timeStamp=ve(),this.manager.emit(this.options.event,this._input)))}}),u(ne,ee,{defaults:{event:"rotate",threshold:0,pointers:2},getTouchAction:function(){return[ni]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||this.state&di)}}),u(re,ee,{defaults:{event:"swipe",threshold:10,velocity:.65,direction:Re|Fe,pointers:1},getTouchAction:function(){return ie.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return i&(Re|Fe)?e=t.velocity:i&Re?e=t.velocityX:i&Fe&&(e=t.velocityY),this._super.attrTest.call(this,t)&&i&t.direction&&t.distance>this.options.threshold&&ge(e)>this.options.velocity&&t.eventType&ke},emit:function(t){var e=J(t.direction);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),u(ae,K,{defaults:{event:"tap",pointers:1,taps:1,interval:300,time:250,threshold:2,posThreshold:10},getTouchAction:function(){return[oi]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,s=t.distancet&&s>o;)o%3==0?(this.forceAggregateHubs(!0),this.normalizeClusterLevels()):this.increaseClusterLevel(),i=this.nodeIndices.length,o+=1;o>0&&1==e&&this.repositionNodes(),this._updateCalculationNodes()},e.openCluster=function(t){var e=this.moving;if(t.clusterSize>this.constants.clustering.sectorThreshold&&this._nodeInActiveArea(t)&&("default"!=this._sector()||1!=this.nodeIndices.length)){this._addSector(t);for(var i=0;this.nodeIndices.lengthi;)this.decreaseClusterLevel(),i+=1}else this._expandClusterNode(t,!1,!0),this._updateNodeIndexList(),this._updateDynamicEdges(),this._updateCalculationNodes(),this.updateLabels();this.moving!=e&&this.start()},e.updateClustersDefault=function(){1==this.constants.clustering.enabled&&this.updateClusters(0,!1,!1)},e.increaseClusterLevel=function(){this.updateClusters(-1,!1,!0)},e.decreaseClusterLevel=function(){this.updateClusters(1,!1,!0)},e.updateClusters=function(t,e,i,s){var o=this.moving,n=this.nodeIndices.length;this.previousScale>this.scale&&0==t&&this._collapseSector(),this.previousScale>this.scale||-1==t?this._formClusters(i):(this.previousScalethis.scale||-1==t)&&(this._aggregateHubs(i),this._updateNodeIndexList()),(this.previousScale>this.scale||-1==t)&&(this.handleChains(),this._updateNodeIndexList()),this.previousScale=this.scale,this._updateDynamicEdges(),this.updateLabels(),this.nodeIndices.lengththis.constants.clustering.chainThreshold&&this._reduceAmountOfChains(1-this.constants.clustering.chainThreshold/t)},e._aggregateHubs=function(t){this._getHubSize(),this._formClustersByHub(t,!1)},e.forceAggregateHubs=function(t){var e=this.moving,i=this.nodeIndices.length;this._aggregateHubs(!0),this._updateNodeIndexList(),this._updateDynamicEdges(),this.updateLabels(),this.nodeIndices.length!=i&&(this.clusterSession+=1),(0==t||void 0===t)&&this.moving!=e&&this.start()},e._openClustersBySize=function(){for(var t in this.nodes)if(this.nodes.hasOwnProperty(t)){var e=this.nodes[t];1==e.inView()&&(e.width*this.scale>this.constants.clustering.screenSizeThreshold*this.frame.canvas.clientWidth||e.height*this.scale>this.constants.clustering.screenSizeThreshold*this.frame.canvas.clientHeight)&&this.openCluster(e)}},e._openClusters=function(t,e){for(var i=0;i1&&(t.clusterSizei)){var r=n.from,a=n.to;n.to.options.mass>n.from.options.mass&&(r=n.to,a=n.from),1==a.dynamicEdgesLength?this._addToCluster(r,a,!1):1==r.dynamicEdgesLength&&this._addToCluster(a,r,!1)}}},e._forceClustersByZoom=function(){for(var t in this.nodes)if(this.nodes.hasOwnProperty(t)){var e=this.nodes[t];if(1==e.dynamicEdgesLength&&0!=e.dynamicEdges.length){var i=e.dynamicEdges[0],s=i.toId==e.id?this.nodes[i.fromId]:this.nodes[i.toId];e.id!=s.id&&(s.options.mass>e.options.mass?this._addToCluster(s,e,!0):this._addToCluster(e,s,!0))}}},e._clusterToSmallestNeighbour=function(t){for(var e=-1,i=null,s=0;so.clusterSessions.length&&(e=o.clusterSessions.length,i=o)}null!=o&&void 0!==this.nodes[o.id]&&this._addToCluster(o,t,!0)},e._formClustersByHub=function(t,e){for(var i in this.nodes)this.nodes.hasOwnProperty(i)&&this._formClusterFromHub(this.nodes[i],t,e)},e._formClusterFromHub=function(t,e,i,s){if(void 0===s&&(s=0),t.dynamicEdgesLength>=this.hubThreshold&&0==i||t.dynamicEdgesLength==this.hubThreshold&&1==i){for(var o,n,r,a=this.constants.clustering.clusterEdgeThreshold/this.scale,h=!1,d=[],l=t.dynamicEdges.length,c=0;l>c;c++)d.push(t.dynamicEdges[c].id);if(0==e)for(h=!1,c=0;l>c;c++){var p=this.edges[d[c]];if(void 0!==p&&p.connected&&p.toId!=p.fromId&&(o=p.to.x-p.from.x,n=p.to.y-p.from.y,r=Math.sqrt(o*o+n*n),a>r)){h=!0;break}}if(!e&&h||e)for(c=0;l>c;c++)if(p=this.edges[d[c]],void 0!==p){var u=this.nodes[p.fromId==t.id?p.toId:p.fromId];u.dynamicEdges.length<=this.hubThreshold+s&&u.id!=t.id&&this._addToCluster(t,u,e)}}},e._addToCluster=function(t,e,i){t.containedNodes[e.id]=e;for(var s=0;s1)for(var s=0;s1&&(e.label="[".concat(String(e.clusterSize),"]"))}for(t in this.nodes)this.nodes.hasOwnProperty(t)&&(e=this.nodes[t],1==e.clusterSize&&(e.label=void 0!==e.originalLabel?e.originalLabel:String(e.id)))},e.normalizeClusterLevels=function(){var t,e=0,i=1e9,s=0;for(t in this.nodes)this.nodes.hasOwnProperty(t)&&(s=this.nodes[t].clusterSessions.length,s>e&&(e=s),i>s&&(i=s));if(e-i>this.constants.clustering.clusterLevelDifference){var o=this.nodeIndices.length,n=e-this.constants.clustering.clusterLevelDifference;for(t in this.nodes)this.nodes.hasOwnProperty(t)&&this.nodes[t].clusterSessions.lengths&&(s=n.dynamicEdgesLength),t+=n.dynamicEdgesLength,e+=Math.pow(n.dynamicEdgesLength,2),i+=1}t/=i,e/=i;var r=e-Math.pow(t,2),a=Math.sqrt(r);this.hubThreshold=Math.floor(t+2*a),this.hubThreshold>s&&(this.hubThreshold=s)},e._reduceAmountOfChains=function(t){this.hubThreshold=2;var e=Math.floor(this.nodeIndices.length*t);for(var i in this.nodes)this.nodes.hasOwnProperty(i)&&2==this.nodes[i].dynamicEdgesLength&&this.nodes[i].dynamicEdges.length>=2&&e>0&&(this._formClusterFromHub(this.nodes[i],!0,!0,1),e-=1)},e._getChainFraction=function(){var t=0,e=0;for(var i in this.nodes)this.nodes.hasOwnProperty(i)&&(2==this.nodes[i].dynamicEdgesLength&&this.nodes[i].dynamicEdges.length>=2&&(t+=1),e+=1);return t/e}},function(t,e,i){var s=i(1),o=i(40);e._putDataInSector=function(){this.sectors.active[this._sector()].nodes=this.nodes,this.sectors.active[this._sector()].edges=this.edges,this.sectors.active[this._sector()].nodeIndices=this.nodeIndices},e._switchToSector=function(t,e){void 0===e||"active"==e?this._switchToActiveSector(t):this._switchToFrozenSector(t)},e._switchToActiveSector=function(t){this.nodeIndices=this.sectors.active[t].nodeIndices,this.nodes=this.sectors.active[t].nodes,this.edges=this.sectors.active[t].edges},e._switchToSupportSector=function(){this.nodeIndices=this.sectors.support.nodeIndices,this.nodes=this.sectors.support.nodes,this.edges=this.sectors.support.edges},e._switchToFrozenSector=function(t){this.nodeIndices=this.sectors.frozen[t].nodeIndices,this.nodes=this.sectors.frozen[t].nodes,this.edges=this.sectors.frozen[t].edges},e._loadLatestSector=function(){this._switchToSector(this._sector())},e._sector=function(){return this.activeSector[this.activeSector.length-1]},e._previousSector=function(){if(this.activeSector.length>1)return this.activeSector[this.activeSector.length-2];throw new TypeError("there are not enough sectors in the this.activeSector array.")},e._setActiveSector=function(t){this.activeSector.push(t)},e._forgetLastSector=function(){this.activeSector.pop()},e._createNewSector=function(t){this.sectors.active[t]={nodes:{},edges:{},nodeIndices:[],formationScale:this.scale,drawingNode:void 0},this.sectors.active[t].drawingNode=new o({id:t,color:{background:"#eaefef",border:"495c5e"}},{},{},this.constants),this.sectors.active[t].drawingNode.clusterSize=2},e._deleteActiveSector=function(t){delete this.sectors.active[t]},e._deleteFrozenSector=function(t){delete this.sectors.frozen[t]},e._freezeSector=function(t){this.sectors.frozen[t]=this.sectors.active[t],this._deleteActiveSector(t)},e._activateSector=function(t){this.sectors.active[t]=this.sectors.frozen[t],this._deleteFrozenSector(t)},e._mergeThisWithFrozen=function(t){for(var e in this.nodes)this.nodes.hasOwnProperty(e)&&(this.sectors.frozen[t].nodes[e]=this.nodes[e]);for(var i in this.edges)this.edges.hasOwnProperty(i)&&(this.sectors.frozen[t].edges[i]=this.edges[i]);for(var s=0;s1?this[t](o[0],o[1]):this[t](e))}return this._loadLatestSector(),i},e._doInSupportSector=function(t,e){var i=!1;if(void 0===e)this._switchToSupportSector(),i=this[t]();else{this._switchToSupportSector();var s=Array.prototype.splice.call(arguments,1);i=s.length>1?this[t](s[0],s[1]):this[t](e)}return this._loadLatestSector(),i},e._doInAllFrozenSectors=function(t,e){if(void 0===e)for(var i in this.sectors.frozen)this.sectors.frozen.hasOwnProperty(i)&&(this._switchToFrozenSector(i),this[t]());else for(var i in this.sectors.frozen)if(this.sectors.frozen.hasOwnProperty(i)){this._switchToFrozenSector(i);var s=Array.prototype.splice.call(arguments,1);s.length>1?this[t](s[0],s[1]):this[t](e)}this._loadLatestSector()},e._doInAllSectors=function(t,e){var i=Array.prototype.splice.call(arguments,1);void 0===e?(this._doInAllActiveSectors(t),this._doInAllFrozenSectors(t)):i.length>1?(this._doInAllActiveSectors(t,i[0],i[1]),this._doInAllFrozenSectors(t,i[0],i[1])):(this._doInAllActiveSectors(t,e),this._doInAllFrozenSectors(t,e))},e._clearNodeIndexList=function(){var t=this._sector();this.sectors.active[t].nodeIndices=[],this.nodeIndices=this.sectors.active[t].nodeIndices},e._drawSectorNodes=function(t,e){var i,s=1e9,o=-1e9,n=1e9,r=-1e9;for(var a in this.sectors[e])if(this.sectors[e].hasOwnProperty(a)&&void 0!==this.sectors[e][a].drawingNode){this._switchToSector(a,e),s=1e9,o=-1e9,n=1e9,r=-1e9;for(var h in this.nodes)this.nodes.hasOwnProperty(h)&&(i=this.nodes[h],i.resize(t),n>i.x-.5*i.width&&(n=i.x-.5*i.width),ri.y-.5*i.height&&(s=i.y-.5*i.height),o0?this.nodes[i[i.length-1]]:null},e._getEdgesOverlappingWith=function(t,e){var i=this.edges;for(var s in i)i.hasOwnProperty(s)&&i[s].isOverlappingWith(t)&&e.push(s)},e._getAllEdgesOverlappingWith=function(t){var e=[];return this._doInAllActiveSectors("_getEdgesOverlappingWith",t,e),e},e._getEdgeAt=function(t){var e=this._pointerToPositionObject(t),i=this._getAllEdgesOverlappingWith(e);return i.length>0?this.edges[i[i.length-1]]:null},e._addToSelection=function(t){t instanceof s?this.selectionObj.nodes[t.id]=t:this.selectionObj.edges[t.id]=t},e._addToHover=function(t){t instanceof s?this.hoverObj.nodes[t.id]=t:this.hoverObj.edges[t.id]=t},e._removeFromSelection=function(t){t instanceof s?delete this.selectionObj.nodes[t.id]:delete this.selectionObj.edges[t.id]},e._unselectAll=function(t){void 0===t&&(t=!1);for(var e in this.selectionObj.nodes)this.selectionObj.nodes.hasOwnProperty(e)&&this.selectionObj.nodes[e].unselect();for(var i in this.selectionObj.edges)this.selectionObj.edges.hasOwnProperty(i)&&this.selectionObj.edges[i].unselect();this.selectionObj={nodes:{},edges:{}},0==t&&this.emit("select",this.getSelection())},e._unselectClusters=function(t){void 0===t&&(t=!1);for(var e in this.selectionObj.nodes)this.selectionObj.nodes.hasOwnProperty(e)&&this.selectionObj.nodes[e].clusterSize>1&&(this.selectionObj.nodes[e].unselect(),this._removeFromSelection(this.selectionObj.nodes[e]));0==t&&this.emit("select",this.getSelection())},e._getSelectedNodeCount=function(){var t=0;for(var e in this.selectionObj.nodes)this.selectionObj.nodes.hasOwnProperty(e)&&(t+=1);return t},e._getSelectedNode=function(){for(var t in this.selectionObj.nodes)if(this.selectionObj.nodes.hasOwnProperty(t))return this.selectionObj.nodes[t];return null},e._getSelectedEdge=function(){for(var t in this.selectionObj.edges)if(this.selectionObj.edges.hasOwnProperty(t))return this.selectionObj.edges[t];return null},e._getSelectedEdgeCount=function(){var t=0;for(var e in this.selectionObj.edges)this.selectionObj.edges.hasOwnProperty(e)&&(t+=1);return t},e._getSelectedObjectCount=function(){var t=0;for(var e in this.selectionObj.nodes)this.selectionObj.nodes.hasOwnProperty(e)&&(t+=1);for(var i in this.selectionObj.edges)this.selectionObj.edges.hasOwnProperty(i)&&(t+=1);return t},e._selectionIsEmpty=function(){for(var t in this.selectionObj.nodes)if(this.selectionObj.nodes.hasOwnProperty(t))return!1;for(var e in this.selectionObj.edges)if(this.selectionObj.edges.hasOwnProperty(e))return!1;return!0},e._clusterInSelection=function(){for(var t in this.selectionObj.nodes)if(this.selectionObj.nodes.hasOwnProperty(t)&&this.selectionObj.nodes[t].clusterSize>1)return!0;return!1},e._selectConnectedEdges=function(t){for(var e=0;ei;i++){o=t[i];var n=this.nodes[o];if(!n)throw new RangeError('Node with id "'+o+'" not found');this._selectObject(n,!0,!0,e,!0)}this.redraw()},e.selectEdges=function(t){var e,i,s;if(!t||void 0==t.length)throw"Selection must be an array with ids";for(this._unselectAll(!0),e=0,i=t.length;i>e;e++){s=t[e];var o=this.edges[s];if(!o)throw new RangeError('Edge with id "'+s+'" not found');this._selectObject(o,!0,!0,!1,!0)}this.redraw()},e._updateSelection=function(){for(var t in this.selectionObj.nodes)this.selectionObj.nodes.hasOwnProperty(t)&&(this.nodes.hasOwnProperty(t)||delete this.selectionObj.nodes[t]);for(var e in this.selectionObj.edges)this.selectionObj.edges.hasOwnProperty(e)&&(this.edges.hasOwnProperty(e)||delete this.selectionObj.edges[e])}},function(t,e,i){var s=i(1),o=i(40),n=i(37);e._clearManipulatorBar=function(){this._recursiveDOMDelete(this.manipulationDiv),this.manipulationDOM={},this._manipulationReleaseOverload=function(){},delete this.sectors.support.nodes.targetNode,delete this.sectors.support.nodes.targetViaNode,this.controlNodesActive=!1,this.freezeSimulation=!1},e._restoreOverloadedFunctions=function(){for(var t in this.cachedFunctions)this.cachedFunctions.hasOwnProperty(t)&&(this[t]=this.cachedFunctions[t],delete this.cachedFunctions[t])},e._toggleEditMode=function(){this.editMode=!this.editMode;var t=this.manipulationDiv,e=this.closeDiv,i=this.editModeDiv;1==this.editMode?(t.style.display="block",e.style.display="block",i.style.display="none",e.onclick=this._toggleEditMode.bind(this)):(t.style.display="none",e.style.display="none",i.style.display="block",e.onclick=null),this._createManipulatorBar()},e._createManipulatorBar=function(){this.boundFunction&&this.off("select",this.boundFunction);var t=this.constants.locales[this.constants.locale];if(void 0!==this.edgeBeingEdited&&(this.edgeBeingEdited._disableControlNodes(),this.edgeBeingEdited=void 0,this.selectedControlNode=null,this.controlNodesActive=!1,this._redraw()),this._restoreOverloadedFunctions(),this.freezeSimulation=!1,this.blockConnectingEdgeSelection=!1,this.forceAppendSelection=!1,this.manipulationDOM={},1==this.editMode){for(;this.manipulationDiv.hasChildNodes();)this.manipulationDiv.removeChild(this.manipulationDiv.firstChild);this.manipulationDOM.addNodeSpan=document.createElement("span"),this.manipulationDOM.addNodeSpan.className="network-manipulationUI add",this.manipulationDOM.addNodeLabelSpan=document.createElement("span"),this.manipulationDOM.addNodeLabelSpan.className="network-manipulationLabel",this.manipulationDOM.addNodeLabelSpan.innerHTML=t.addNode,this.manipulationDOM.addNodeSpan.appendChild(this.manipulationDOM.addNodeLabelSpan),this.manipulationDOM.seperatorLineDiv1=document.createElement("div"),this.manipulationDOM.seperatorLineDiv1.className="network-seperatorLine",this.manipulationDOM.addEdgeSpan=document.createElement("span"),this.manipulationDOM.addEdgeSpan.className="network-manipulationUI connect",this.manipulationDOM.addEdgeLabelSpan=document.createElement("span"),this.manipulationDOM.addEdgeLabelSpan.className="network-manipulationLabel",this.manipulationDOM.addEdgeLabelSpan.innerHTML=t.addEdge,this.manipulationDOM.addEdgeSpan.appendChild(this.manipulationDOM.addEdgeLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.addNodeSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv1),this.manipulationDiv.appendChild(this.manipulationDOM.addEdgeSpan),1==this._getSelectedNodeCount()&&this.triggerFunctions.edit?(this.manipulationDOM.seperatorLineDiv2=document.createElement("div"),this.manipulationDOM.seperatorLineDiv2.className="network-seperatorLine",this.manipulationDOM.editNodeSpan=document.createElement("span"),this.manipulationDOM.editNodeSpan.className="network-manipulationUI edit",this.manipulationDOM.editNodeLabelSpan=document.createElement("span"),this.manipulationDOM.editNodeLabelSpan.className="network-manipulationLabel",this.manipulationDOM.editNodeLabelSpan.innerHTML=t.editNode,this.manipulationDOM.editNodeSpan.appendChild(this.manipulationDOM.editNodeLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv2),this.manipulationDiv.appendChild(this.manipulationDOM.editNodeSpan)):1==this._getSelectedEdgeCount()&&0==this._getSelectedNodeCount()&&(this.manipulationDOM.seperatorLineDiv3=document.createElement("div"),this.manipulationDOM.seperatorLineDiv3.className="network-seperatorLine",this.manipulationDOM.editEdgeSpan=document.createElement("span"),this.manipulationDOM.editEdgeSpan.className="network-manipulationUI edit",this.manipulationDOM.editEdgeLabelSpan=document.createElement("span"),this.manipulationDOM.editEdgeLabelSpan.className="network-manipulationLabel",this.manipulationDOM.editEdgeLabelSpan.innerHTML=t.editEdge,this.manipulationDOM.editEdgeSpan.appendChild(this.manipulationDOM.editEdgeLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv3),this.manipulationDiv.appendChild(this.manipulationDOM.editEdgeSpan)),0==this._selectionIsEmpty()&&(this.manipulationDOM.seperatorLineDiv4=document.createElement("div"),this.manipulationDOM.seperatorLineDiv4.className="network-seperatorLine",this.manipulationDOM.deleteSpan=document.createElement("span"),this.manipulationDOM.deleteSpan.className="network-manipulationUI delete",this.manipulationDOM.deleteLabelSpan=document.createElement("span"),this.manipulationDOM.deleteLabelSpan.className="network-manipulationLabel",this.manipulationDOM.deleteLabelSpan.innerHTML=t.del,this.manipulationDOM.deleteSpan.appendChild(this.manipulationDOM.deleteLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv4),this.manipulationDiv.appendChild(this.manipulationDOM.deleteSpan)),this.manipulationDOM.addNodeSpan.onclick=this._createAddNodeToolbar.bind(this),this.manipulationDOM.addEdgeSpan.onclick=this._createAddEdgeToolbar.bind(this),1==this._getSelectedNodeCount()&&this.triggerFunctions.edit?this.manipulationDOM.editNodeSpan.onclick=this._editNode.bind(this):1==this._getSelectedEdgeCount()&&0==this._getSelectedNodeCount()&&(this.manipulationDOM.editEdgeSpan.onclick=this._createEditEdgeToolbar.bind(this)),0==this._selectionIsEmpty()&&(this.manipulationDOM.deleteSpan.onclick=this._deleteSelected.bind(this)),this.closeDiv.onclick=this._toggleEditMode.bind(this);
var e=this;this.boundFunction=e._createManipulatorBar,this.on("select",this.boundFunction)}else{for(;this.editModeDiv.hasChildNodes();)this.editModeDiv.removeChild(this.editModeDiv.firstChild);this.manipulationDOM.editModeSpan=document.createElement("span"),this.manipulationDOM.editModeSpan.className="network-manipulationUI edit editmode",this.manipulationDOM.editModeLabelSpan=document.createElement("span"),this.manipulationDOM.editModeLabelSpan.className="network-manipulationLabel",this.manipulationDOM.editModeLabelSpan.innerHTML=t.edit,this.manipulationDOM.editModeSpan.appendChild(this.manipulationDOM.editModeLabelSpan),this.editModeDiv.appendChild(this.manipulationDOM.editModeSpan),this.manipulationDOM.editModeSpan.onclick=this._toggleEditMode.bind(this)}},e._createAddNodeToolbar=function(){this._clearManipulatorBar(),this.boundFunction&&this.off("select",this.boundFunction);var t=this.constants.locales[this.constants.locale];this.manipulationDOM={},this.manipulationDOM.backSpan=document.createElement("span"),this.manipulationDOM.backSpan.className="network-manipulationUI back",this.manipulationDOM.backLabelSpan=document.createElement("span"),this.manipulationDOM.backLabelSpan.className="network-manipulationLabel",this.manipulationDOM.backLabelSpan.innerHTML=t.back,this.manipulationDOM.backSpan.appendChild(this.manipulationDOM.backLabelSpan),this.manipulationDOM.seperatorLineDiv1=document.createElement("div"),this.manipulationDOM.seperatorLineDiv1.className="network-seperatorLine",this.manipulationDOM.descriptionSpan=document.createElement("span"),this.manipulationDOM.descriptionSpan.className="network-manipulationUI none",this.manipulationDOM.descriptionLabelSpan=document.createElement("span"),this.manipulationDOM.descriptionLabelSpan.className="network-manipulationLabel",this.manipulationDOM.descriptionLabelSpan.innerHTML=t.addDescription,this.manipulationDOM.descriptionSpan.appendChild(this.manipulationDOM.descriptionLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.backSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv1),this.manipulationDiv.appendChild(this.manipulationDOM.descriptionSpan),this.manipulationDOM.backSpan.onclick=this._createManipulatorBar.bind(this);var e=this;this.boundFunction=e._addNode,this.on("select",this.boundFunction)},e._createAddEdgeToolbar=function(){this._clearManipulatorBar(),this._unselectAll(!0),this.freezeSimulation=!0,this.boundFunction&&this.off("select",this.boundFunction);var t=this.constants.locales[this.constants.locale];this._unselectAll(),this.forceAppendSelection=!1,this.blockConnectingEdgeSelection=!0,this.manipulationDOM={},this.manipulationDOM.backSpan=document.createElement("span"),this.manipulationDOM.backSpan.className="network-manipulationUI back",this.manipulationDOM.backLabelSpan=document.createElement("span"),this.manipulationDOM.backLabelSpan.className="network-manipulationLabel",this.manipulationDOM.backLabelSpan.innerHTML=t.back,this.manipulationDOM.backSpan.appendChild(this.manipulationDOM.backLabelSpan),this.manipulationDOM.seperatorLineDiv1=document.createElement("div"),this.manipulationDOM.seperatorLineDiv1.className="network-seperatorLine",this.manipulationDOM.descriptionSpan=document.createElement("span"),this.manipulationDOM.descriptionSpan.className="network-manipulationUI none",this.manipulationDOM.descriptionLabelSpan=document.createElement("span"),this.manipulationDOM.descriptionLabelSpan.className="network-manipulationLabel",this.manipulationDOM.descriptionLabelSpan.innerHTML=t.edgeDescription,this.manipulationDOM.descriptionSpan.appendChild(this.manipulationDOM.descriptionLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.backSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv1),this.manipulationDiv.appendChild(this.manipulationDOM.descriptionSpan),this.manipulationDOM.backSpan.onclick=this._createManipulatorBar.bind(this);var e=this;this.boundFunction=e._handleConnect,this.on("select",this.boundFunction),this.cachedFunctions._handleTouch=this._handleTouch,this.cachedFunctions._manipulationReleaseOverload=this._manipulationReleaseOverload,this.cachedFunctions._handleDragStart=this._handleDragStart,this.cachedFunctions._handleDragEnd=this._handleDragEnd,this._handleTouch=this._handleConnect,this._manipulationReleaseOverload=function(){},this._handleDragStart=function(){},this._handleDragEnd=this._finishConnect,this._redraw()},e._createEditEdgeToolbar=function(){this._clearManipulatorBar(),this.controlNodesActive=!0,this.boundFunction&&this.off("select",this.boundFunction),this.edgeBeingEdited=this._getSelectedEdge(),this.edgeBeingEdited._enableControlNodes();var t=this.constants.locales[this.constants.locale];this.manipulationDOM={},this.manipulationDOM.backSpan=document.createElement("span"),this.manipulationDOM.backSpan.className="network-manipulationUI back",this.manipulationDOM.backLabelSpan=document.createElement("span"),this.manipulationDOM.backLabelSpan.className="network-manipulationLabel",this.manipulationDOM.backLabelSpan.innerHTML=t.back,this.manipulationDOM.backSpan.appendChild(this.manipulationDOM.backLabelSpan),this.manipulationDOM.seperatorLineDiv1=document.createElement("div"),this.manipulationDOM.seperatorLineDiv1.className="network-seperatorLine",this.manipulationDOM.descriptionSpan=document.createElement("span"),this.manipulationDOM.descriptionSpan.className="network-manipulationUI none",this.manipulationDOM.descriptionLabelSpan=document.createElement("span"),this.manipulationDOM.descriptionLabelSpan.className="network-manipulationLabel",this.manipulationDOM.descriptionLabelSpan.innerHTML=t.editEdgeDescription,this.manipulationDOM.descriptionSpan.appendChild(this.manipulationDOM.descriptionLabelSpan),this.manipulationDiv.appendChild(this.manipulationDOM.backSpan),this.manipulationDiv.appendChild(this.manipulationDOM.seperatorLineDiv1),this.manipulationDiv.appendChild(this.manipulationDOM.descriptionSpan),this.manipulationDOM.backSpan.onclick=this._createManipulatorBar.bind(this),this.cachedFunctions._handleTouch=this._handleTouch,this.cachedFunctions._manipulationReleaseOverload=this._manipulationReleaseOverload,this.cachedFunctions._handleTap=this._handleTap,this.cachedFunctions._handleDragStart=this._handleDragStart,this.cachedFunctions._handleOnDrag=this._handleOnDrag,this._handleTouch=this._selectControlNode,this._handleTap=function(){},this._handleOnDrag=this._controlNodeDrag,this._handleDragStart=function(){},this._manipulationReleaseOverload=this._releaseControlNode,this._redraw()},e._selectControlNode=function(t){this.edgeBeingEdited.controlNodes.from.unselect(),this.edgeBeingEdited.controlNodes.to.unselect(),this.selectedControlNode=this.edgeBeingEdited._getSelectedControlNode(this._XconvertDOMtoCanvas(t.x),this._YconvertDOMtoCanvas(t.y)),null!==this.selectedControlNode&&(this.selectedControlNode.select(),this.freezeSimulation=!0),this._redraw()},e._controlNodeDrag=function(t){var e=this._getPointer(t.center);null!==this.selectedControlNode&&void 0!==this.selectedControlNode&&(this.selectedControlNode.x=this._XconvertDOMtoCanvas(e.x),this.selectedControlNode.y=this._YconvertDOMtoCanvas(e.y)),this._redraw()},e._releaseControlNode=function(t){var e=this._getNodeAt(t);null!==e?(1==this.edgeBeingEdited.controlNodes.from.selected&&(this.edgeBeingEdited._restoreControlNodes(),this._editEdge(e.id,this.edgeBeingEdited.to.id),this.edgeBeingEdited.controlNodes.from.unselect()),1==this.edgeBeingEdited.controlNodes.to.selected&&(this.edgeBeingEdited._restoreControlNodes(),this._editEdge(this.edgeBeingEdited.from.id,e.id),this.edgeBeingEdited.controlNodes.to.unselect())):this.edgeBeingEdited._restoreControlNodes(),this.freezeSimulation=!1,this._redraw()},e._handleConnect=function(t){if(0==this._getSelectedNodeCount()){var e=this._getNodeAt(t);if(null!=e)if(e.clusterSize>1)alert(this.constants.locales[this.constants.locale].createEdgeError);else{this._selectObject(e,!1);var i=this.sectors.support.nodes;i.targetNode=new o({id:"targetNode"},{},{},this.constants);var s=i.targetNode;s.x=e.x,s.y=e.y,this.edges.connectionEdge=new n({id:"connectionEdge",from:e.id,to:s.id},this,this.constants);var r=this.edges.connectionEdge;r.from=e,r.connected=!0,r.options.smoothCurves={enabled:!0,dynamic:!1,type:"continuous",roundness:.5},r.selected=!0,r.to=s,this.cachedFunctions._handleOnDrag=this._handleOnDrag,this._handleOnDrag=function(t){var e=this._getPointer(t.center),i=this.edges.connectionEdge;i.to.x=this._XconvertDOMtoCanvas(e.x),i.to.y=this._YconvertDOMtoCanvas(e.y)},this.moving=!0,this.start()}}},e._finishConnect=function(t){if(1==this._getSelectedNodeCount()){var e=this._getPointer(t.center);this._handleOnDrag=this.cachedFunctions._handleOnDrag,delete this.cachedFunctions._handleOnDrag;var i=this.edges.connectionEdge.fromId;delete this.edges.connectionEdge,delete this.sectors.support.nodes.targetNode,delete this.sectors.support.nodes.targetViaNode;var s=this._getNodeAt(e);null!=s&&(s.clusterSize>1?alert(this.constants.locales[this.constants.locale].createEdgeError):(this._createEdge(i,s.id),this._createManipulatorBar())),this._unselectAll()}},e._addNode=function(){if(this._selectionIsEmpty()&&1==this.editMode){var t=this._pointerToPositionObject(this.pointerPosition),e={id:s.randomUUID(),x:t.left,y:t.top,label:"new",allowedToMoveX:!0,allowedToMoveY:!0};if(this.triggerFunctions.add){if(2!=this.triggerFunctions.add.length)throw new Error("The function for add does not support two arguments (data,callback)");var i=this;this.triggerFunctions.add(e,function(t){i.nodesData.add(t),i._createManipulatorBar(),i.moving=!0,i.start()})}else this.nodesData.add(e),this._createManipulatorBar(),this.moving=!0,this.start()}},e._createEdge=function(t,e){if(1==this.editMode){var i={from:t,to:e};if(this.triggerFunctions.connect){if(2!=this.triggerFunctions.connect.length)throw new Error("The function for connect does not support two arguments (data,callback)");var s=this;this.triggerFunctions.connect(i,function(t){s.edgesData.add(t),s.moving=!0,s.start()})}else this.edgesData.add(i),this.moving=!0,this.start()}},e._editEdge=function(t,e){if(1==this.editMode){var i={id:this.edgeBeingEdited.id,from:t,to:e};if(this.triggerFunctions.editEdge){if(2!=this.triggerFunctions.editEdge.length)throw new Error("The function for edit does not support two arguments (data, callback)");var s=this;this.triggerFunctions.editEdge(i,function(t){s.edgesData.update(t),s.moving=!0,s.start()})}else this.edgesData.update(i),this.moving=!0,this.start()}},e._editNode=function(){if(!this.triggerFunctions.edit||1!=this.editMode)throw new Error("No edit function has been bound to this button");var t=this._getSelectedNode(),e={id:t.id,label:t.label,group:t.options.group,shape:t.options.shape,color:{background:t.options.color.background,border:t.options.color.border,highlight:{background:t.options.color.highlight.background,border:t.options.color.highlight.border}}};if(2!=this.triggerFunctions.edit.length)throw new Error("The function for edit does not support two arguments (data, callback)");var i=this;this.triggerFunctions.edit(e,function(t){i.nodesData.update(t),i._createManipulatorBar(),i.moving=!0,i.start()})},e._deleteSelected=function(){if(!this._selectionIsEmpty()&&1==this.editMode)if(this._clusterInSelection())alert(this.constants.locales[this.constants.locale].deleteClusterError);else{var t=this.getSelectedNodes(),e=this.getSelectedEdges();if(this.triggerFunctions.del){var i=this,s={nodes:t,edges:e};if(2!=this.triggerFunctions.del.length)throw new Error("The function for delete does not support two arguments (data, callback)");this.triggerFunctions.del(s,function(t){i.edgesData.remove(t.edges),i.nodesData.remove(t.nodes),i._unselectAll(),i.moving=!0,i.start()})}else this.edgesData.remove(e),this.nodesData.remove(t),this._unselectAll(),this.moving=!0,this.start()}}},function(t,e,i){var s=(i(1),i(47)),o=i(45);e._cleanNavigation=function(){if(0!=this.navigationHammers.existing.length){for(var t=0;t0){var t,e,i=0,s=!1,o=!1;for(e in this.nodes)this.nodes.hasOwnProperty(e)&&(t=this.nodes[e],-1!=t.level?s=!0:o=!0,is&&(n.xFixed=!1,n.x=i[n.level].minPos,r=!0):n.yFixed&&n.level>s&&(n.yFixed=!1,n.y=i[n.level].minPos,r=!0),1==r&&(i[n.level].minPos+=i[n.level].nodeSpacing,n.edges.length>1&&this._placeBranchNodes(n.edges,n.id,i,n.level))}},e._setLevel=function(t,e,i){for(var s=0;st)&&(o.level=t,o.edges.length>1&&this._setLevel(t+1,o.edges,o.id))}},e._setLevelDirected=function(t,e,i){this.nodes[i].hierarchyEnumerated=!0;for(var s,o,n=0;n1&&s.hierarchyEnumerated===!1&&this._setLevelDirected(s.level,s.edges,s.id)},e._restoreNodes=function(){for(var t in this.nodes)this.nodes.hasOwnProperty(t)&&(this.nodes[t].xFixed=!1,this.nodes[t].yFixed=!1)}},function(t,e,i){function s(){this.constants.smoothCurves.enabled=!this.constants.smoothCurves.enabled;var t=document.getElementById("graph_toggleSmooth");t.style.background=1==this.constants.smoothCurves.enabled?"#A4FF56":"#FF8532",this._configureSmoothCurves(!1)}function o(){for(var t in this.calculationNodes)this.calculationNodes.hasOwnProperty(t)&&(this.calculationNodes[t].vx=0,this.calculationNodes[t].vy=0,this.calculationNodes[t].fx=0,this.calculationNodes[t].fy=0);1==this.constants.hierarchicalLayout.enabled?(this._setupHierarchicalLayout(),a.call(this,"graph_H_nd",1,"physics_hierarchicalRepulsion_nodeDistance"),a.call(this,"graph_H_cg",1,"physics_centralGravity"),a.call(this,"graph_H_sc",1,"physics_springConstant"),a.call(this,"graph_H_sl",1,"physics_springLength"),a.call(this,"graph_H_damp",1,"physics_damping")):this.repositionNodes(),this.moving=!0,this.start()}function n(){var t="No options are required, default values used.",e=[],i=document.getElementById("graph_physicsMethod1"),s=document.getElementById("graph_physicsMethod2");if(1==i.checked){if(this.constants.physics.barnesHut.gravitationalConstant!=this.backupConstants.physics.barnesHut.gravitationalConstant&&e.push("gravitationalConstant: "+this.constants.physics.barnesHut.gravitationalConstant),this.constants.physics.centralGravity!=this.backupConstants.physics.barnesHut.centralGravity&&e.push("centralGravity: "+this.constants.physics.centralGravity),this.constants.physics.springLength!=this.backupConstants.physics.barnesHut.springLength&&e.push("springLength: "+this.constants.physics.springLength),this.constants.physics.springConstant!=this.backupConstants.physics.barnesHut.springConstant&&e.push("springConstant: "+this.constants.physics.springConstant),this.constants.physics.damping!=this.backupConstants.physics.barnesHut.damping&&e.push("damping: "+this.constants.physics.damping),0!=e.length){t="var options = {",t+="physics: {barnesHut: {";for(var o=0;othis.constants.clustering.clusterThreshold&&1==this.constants.clustering.enabled&&this.clusterToFit(this.constants.clustering.reduceToNodes,!1),this._calculateForces())},e._calculateForces=function(){this._calculateGravitationalForces(),this._calculateNodeForces(),this.constants.physics.springConstant>0&&(1==this.constants.smoothCurves.enabled&&1==this.constants.smoothCurves.dynamic?this._calculateSpringForcesWithSupport():1==this.constants.physics.hierarchicalRepulsion.enabled?this._calculateHierarchicalSpringForces():this._calculateSpringForces())},e._updateCalculationNodes=function(){if(1==this.constants.smoothCurves.enabled&&1==this.constants.smoothCurves.dynamic){this.calculationNodes={},this.calculationNodeIndices=[];for(var t in this.nodes)this.nodes.hasOwnProperty(t)&&(this.calculationNodes[t]=this.nodes[t]);var e=this.sectors.support.nodes;for(var i in e)e.hasOwnProperty(i)&&(this.edges.hasOwnProperty(e[i].parentEdgeId)?this.calculationNodes[i]=e[i]:e[i]._setForce(0,0));for(var s in this.calculationNodes)this.calculationNodes.hasOwnProperty(s)&&this.calculationNodeIndices.push(s)}else this.calculationNodes=this.nodes,this.calculationNodeIndices=this.nodeIndices},e._calculateGravitationalForces=function(){var t,e,i,s,o,n=this.calculationNodes,r=this.constants.physics.centralGravity,a=0;for(o=0;oSimulation Mode: i&&(r=.5*g>i?1:v*i+m,r*=0==n?1:1+n*this.constants.clustering.forceAmplification,r/=Math.max(i,.01*g),s=t*r,o=e*r,a.fx-=s,a.fy-=o,h.fx+=s,h.fy+=o)}}},function(t,e){e._calculateNodeForces=function(){var t,e,i,s,o,n,r,a,h,d,l=this.calculationNodes,c=this.calculationNodeIndices,p=this.constants.physics.hierarchicalRepulsion.nodeDistance;for(h=0;hi?-Math.pow(u*i,2)+Math.pow(u*p,2):0,0==i?i=.01:n/=i,s=t*n,o=e*n,r.fx-=s,r.fy-=o,a.fx+=s,a.fy+=o}},e._calculateHierarchicalSpringForces=function(){for(var t,e,i,s,o,n,r,a,h,d=this.edges,l=this.calculationNodes,c=this.calculationNodeIndices,p=0;pn;n++)t=e[i[n]],t.options.mass>0&&(this._getForceContribution(o.root.children.NW,t),this._getForceContribution(o.root.children.NE,t),this._getForceContribution(o.root.children.SW,t),this._getForceContribution(o.root.children.SE,t))}},e._getForceContribution=function(t,e){if(t.childrenCount>0){var i,s,o;if(i=t.centerOfMass.x-e.x,s=t.centerOfMass.y-e.y,o=Math.sqrt(i*i+s*s),o*t.calcSize>this.constants.physics.barnesHut.thetaInverted){0==o&&(o=.1*Math.random(),i=o);var n=this.constants.physics.barnesHut.gravitationalConstant*t.mass*e.options.mass/(o*o*o),r=i*n,a=s*n;e.fx+=r,e.fy+=a}else if(4==t.childrenCount)this._getForceContribution(t.children.NW,e),this._getForceContribution(t.children.NE,e),this._getForceContribution(t.children.SW,e),this._getForceContribution(t.children.SE,e);else if(t.children.data.id!=e.id){0==o&&(o=.5*Math.random(),i=o);var n=this.constants.physics.barnesHut.gravitationalConstant*t.mass*e.options.mass/(o*o*o),r=i*n,a=s*n;e.fx+=r,e.fy+=a}}},e._formBarnesHutTree=function(t,e){for(var i,s=e.length,o=Number.MAX_VALUE,n=Number.MAX_VALUE,r=-Number.MAX_VALUE,a=-Number.MAX_VALUE,h=0;s>h;h++){var d=t[e[h]].x,l=t[e[h]].y;t[e[h]].options.mass>0&&(o>d&&(o=d),d>r&&(r=d),n>l&&(n=l),l>a&&(a=l))}var c=Math.abs(r-o)-Math.abs(a-n);c>0?(n-=.5*c,a+=.5*c):(o+=.5*c,r-=.5*c);var p=1e-5,u=Math.max(p,Math.abs(r-o)),m=.5*u,f=.5*(o+r),g=.5*(n+a),v={root:{centerOfMass:{x:0,y:0},mass:0,range:{minX:f-m,maxX:f+m,minY:g-m,maxY:g+m},size:u,calcSize:1/u,children:{data:null},maxWidth:0,level:0,childrenCount:4}};for(this._splitBranch(v.root),h=0;s>h;h++)i=t[e[h]],i.options.mass>0&&this._placeInTree(v.root,i);this.barnesHutTree=v},e._updateBranchMass=function(t,e){var i=t.mass+e.options.mass,s=1/i;t.centerOfMass.x=t.centerOfMass.x*t.mass+e.x*e.options.mass,t.centerOfMass.x*=s,t.centerOfMass.y=t.centerOfMass.y*t.mass+e.y*e.options.mass,t.centerOfMass.y*=s,t.mass=i;var o=Math.max(Math.max(e.height,e.radius),e.width);t.maxWidth=t.maxWidthe.x?t.children.NW.range.maxY>e.y?this._placeInRegion(t,e,"NW"):this._placeInRegion(t,e,"SW"):t.children.NW.range.maxY>e.y?this._placeInRegion(t,e,"NE"):this._placeInRegion(t,e,"SE")},e._placeInRegion=function(t,e,i){switch(t.children[i].childrenCount){case 0:t.children[i].children.data=e,t.children[i].childrenCount=1,this._updateBranchMass(t.children[i],e);break;case 1:t.children[i].children.data.x==e.x&&t.children[i].children.data.y==e.y?(e.x+=Math.random(),e.y+=Math.random()):(this._splitBranch(t.children[i]),this._placeInTree(t.children[i],e));break;case 4:this._placeInTree(t.children[i],e)}},e._splitBranch=function(t){var e=null;1==t.childrenCount&&(e=t.children.data,t.mass=0,t.centerOfMass.x=0,t.centerOfMass.y=0),t.childrenCount=4,t.children.data=null,this._insertRegion(t,"NW"),this._insertRegion(t,"NE"),this._insertRegion(t,"SW"),this._insertRegion(t,"SE"),null!=e&&this._placeInTree(t,e)},e._insertRegion=function(t,e){var i,s,o,n,r=.5*t.size;switch(e){case"NW":i=t.range.minX,s=t.range.minX+r,o=t.range.minY,n=t.range.minY+r;break;case"NE":i=t.range.minX+r,s=t.range.maxX,o=t.range.minY,n=t.range.minY+r;break;case"SW":i=t.range.minX,s=t.range.minX+r,o=t.range.minY+r,n=t.range.maxY;break;case"SE":i=t.range.minX+r,s=t.range.maxX,o=t.range.minY+r,n=t.range.maxY}t.children[e]={centerOfMass:{x:0,y:0},mass:0,range:{minX:i,maxX:s,minY:o,maxY:n},size:.5*t.size,calcSize:2*t.calcSize,children:{data:null},maxWidth:0,level:t.level+1,childrenCount:0}},e._drawTree=function(t,e){void 0!==this.barnesHutTree&&(t.lineWidth=1,this._drawBranch(this.barnesHutTree.root,t,e))},e._drawBranch=function(t,e,i){void 0===i&&(i="#FF0000"),4==t.childrenCount&&(this._drawBranch(t.children.NW,e),this._drawBranch(t.children.NE,e),this._drawBranch(t.children.SE,e),this._drawBranch(t.children.SW,e)),e.strokeStyle=i,e.beginPath(),e.moveTo(t.range.minX,t.range.minY),e.lineTo(t.range.maxX,t.range.minY),e.stroke(),e.beginPath(),e.moveTo(t.range.maxX,t.range.minY),e.lineTo(t.range.maxX,t.range.maxY),e.stroke(),e.beginPath(),e.moveTo(t.range.maxX,t.range.maxY),e.lineTo(t.range.minX,t.range.maxY),e.stroke(),e.beginPath(),e.moveTo(t.range.minX,t.range.maxY),e.lineTo(t.range.minX,t.range.minY),e.stroke()}},function(t){t.exports=function(t){return t.webpackPolyfill||(t.deprecate=function(){},t.paths=[],t.children=[],t.webpackPolyfill=1),t}},function(t,e){(function(e){t.exports=e}).call(e,{})}])});
-//# sourceMappingURL=vis.map
diff --git a/core/src/main/resources/org/apache/spark/ui/static/webui.css b/core/src/main/resources/org/apache/spark/ui/static/webui.css
index 669ad48937c05..e7c1d475d4e52 100644
--- a/core/src/main/resources/org/apache/spark/ui/static/webui.css
+++ b/core/src/main/resources/org/apache/spark/ui/static/webui.css
@@ -106,14 +106,18 @@ span.rest-uri {
}
pre {
- font-size: 0.8em;
+ font-size: 12px;
+ line-height: 18px;
+ padding: 6px;
+ margin: 0;
+ border-radius: 3px;
}
.stage-details {
max-height: 100px;
overflow-y: auto;
margin: 0;
- transition: max-height 0.5s ease-out, padding 0.5s ease-out;
+ transition: max-height 0.25s ease-out, padding 0.25s ease-out;
}
.stage-details.collapsed {
@@ -135,7 +139,7 @@ pre {
max-height: 300px;
overflow-y: auto;
margin: 0;
- transition: max-height 0.5s ease-out, padding 0.5s ease-out;
+ transition: max-height 0.25s ease-out, padding 0.25s ease-out;
}
.stacktrace-details.collapsed {
@@ -158,7 +162,7 @@ span.additional-metric-title {
}
.tooltip {
- font-weight: normal;
+ font-weight: normal;
}
.arrow-open {
@@ -166,9 +170,9 @@ span.additional-metric-title {
height: 0;
border-left: 5px solid transparent;
border-right: 5px solid transparent;
- border-top: 5px solid black;
- float: left;
- margin-top: 6px;
+ border-top: 5px solid #08c;
+ display: inline-block;
+ margin-bottom: 2px;
}
.arrow-closed {
@@ -176,8 +180,10 @@ span.additional-metric-title {
height: 0;
border-top: 5px solid transparent;
border-bottom: 5px solid transparent;
- border-left: 5px solid black;
+ border-left: 5px solid #08c;
display: inline-block;
+ margin-left: 2px;
+ margin-right: 3px;
}
.version {
@@ -196,3 +202,17 @@ span.additional-metric-title {
.serialization_time, .getting_result_time {
display: none;
}
+
+.accordion-inner {
+ background: #f5f5f5;
+}
+
+.accordion-inner pre {
+ border: 0;
+ padding: 0;
+ background: none;
+}
+
+a.expandbutton {
+ cursor: pointer;
+}
diff --git a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
index 16072283edbe9..018422827e1c8 100644
--- a/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
+++ b/core/src/main/scala/org/apache/spark/MapOutputTracker.scala
@@ -367,7 +367,11 @@ private[spark] object MapOutputTracker extends Logging {
// Opposite of serializeMapStatuses.
def deserializeMapStatuses(bytes: Array[Byte]): Array[MapStatus] = {
val objIn = new ObjectInputStream(new GZIPInputStream(new ByteArrayInputStream(bytes)))
- objIn.readObject().asInstanceOf[Array[MapStatus]]
+ Utils.tryWithSafeFinally {
+ objIn.readObject().asInstanceOf[Array[MapStatus]]
+ } {
+ objIn.close()
+ }
}
// Convert an array of MapStatuses to locations and sizes for a given reduce ID. If
diff --git a/core/src/main/scala/org/apache/spark/SparkConf.scala b/core/src/main/scala/org/apache/spark/SparkConf.scala
index a8fc90ad2050e..b5e5d6f1465f3 100644
--- a/core/src/main/scala/org/apache/spark/SparkConf.scala
+++ b/core/src/main/scala/org/apache/spark/SparkConf.scala
@@ -509,7 +509,7 @@ private[spark] object SparkConf extends Logging {
AlternateConfig("spark.reducer.maxMbInFlight", "1.4")),
"spark.kryoserializer.buffer" ->
Seq(AlternateConfig("spark.kryoserializer.buffer.mb", "1.4",
- translation = s => s"${s.toDouble * 1000}k")),
+ translation = s => s"${(s.toDouble * 1000).toInt}k")),
"spark.kryoserializer.buffer.max" -> Seq(
AlternateConfig("spark.kryoserializer.buffer.max.mb", "1.4")),
"spark.shuffle.file.buffer" -> Seq(
diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index b5f040ceb15ca..ad78bdfde2dfb 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -371,6 +371,14 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
throw new SparkException("An application name must be set in your configuration")
}
+ // System property spark.yarn.app.id must be set if user code ran by AM on a YARN cluster
+ // yarn-standalone is deprecated, but still supported
+ if ((master == "yarn-cluster" || master == "yarn-standalone") &&
+ !_conf.contains("spark.yarn.app.id")) {
+ throw new SparkException("Detected yarn-cluster mode, but isn't running on a cluster. " +
+ "Deployment to YARN is not supported directly by SparkContext. Please use spark-submit.")
+ }
+
if (_conf.getBoolean("spark.logConf", false)) {
logInfo("Spark configuration:\n" + _conf.toDebugString)
}
@@ -430,7 +438,7 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
_ui =
if (conf.getBoolean("spark.ui.enabled", true)) {
Some(SparkUI.createLiveUI(this, _conf, listenerBus, _jobProgressListener,
- _env.securityManager,appName))
+ _env.securityManager,appName, startTime = startTime))
} else {
// For tests, do not enable the UI
None
@@ -670,7 +678,7 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
*
* Note: Return statements are NOT allowed in the given body.
*/
- private def withScope[U](body: => U): U = RDDOperationScope.withScope[U](this)(body)
+ private[spark] def withScope[U](body: => U): U = RDDOperationScope.withScope[U](this)(body)
// Methods for creating RDDs
@@ -689,6 +697,78 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
new ParallelCollectionRDD[T](this, seq, numSlices, Map[Int, Seq[String]]())
}
+ /**
+ * Creates a new RDD[Long] containing elements from `start` to `end`(exclusive), increased by
+ * `step` every element.
+ *
+ * @note if we need to cache this RDD, we should make sure each partition does not exceed limit.
+ *
+ * @param start the start value.
+ * @param end the end value.
+ * @param step the incremental step
+ * @param numSlices the partition number of the new RDD.
+ * @return
+ */
+ def range(
+ start: Long,
+ end: Long,
+ step: Long = 1,
+ numSlices: Int = defaultParallelism): RDD[Long] = withScope {
+ assertNotStopped()
+ // when step is 0, range will run infinitely
+ require(step != 0, "step cannot be 0")
+ val numElements: BigInt = {
+ val safeStart = BigInt(start)
+ val safeEnd = BigInt(end)
+ if ((safeEnd - safeStart) % step == 0 || safeEnd > safeStart ^ step > 0) {
+ (safeEnd - safeStart) / step
+ } else {
+ // the remainder has the same sign with range, could add 1 more
+ (safeEnd - safeStart) / step + 1
+ }
+ }
+ parallelize(0 until numSlices, numSlices).mapPartitionsWithIndex((i, _) => {
+ val partitionStart = (i * numElements) / numSlices * step + start
+ val partitionEnd = (((i + 1) * numElements) / numSlices) * step + start
+ def getSafeMargin(bi: BigInt): Long =
+ if (bi.isValidLong) {
+ bi.toLong
+ } else if (bi > 0) {
+ Long.MaxValue
+ } else {
+ Long.MinValue
+ }
+ val safePartitionStart = getSafeMargin(partitionStart)
+ val safePartitionEnd = getSafeMargin(partitionEnd)
+
+ new Iterator[Long] {
+ private[this] var number: Long = safePartitionStart
+ private[this] var overflow: Boolean = false
+
+ override def hasNext =
+ if (!overflow) {
+ if (step > 0) {
+ number < safePartitionEnd
+ } else {
+ number > safePartitionEnd
+ }
+ } else false
+
+ override def next() = {
+ val ret = number
+ number += step
+ if (number < ret ^ step < 0) {
+ // we have Long.MaxValue + Long.MaxValue < Long.MaxValue
+ // and Long.MinValue + Long.MinValue > Long.MinValue, so iff the step causes a step
+ // back, we are pretty sure that we have an overflow.
+ overflow = true
+ }
+ ret
+ }
+ }
+ })
+ }
+
/** Distribute a local Scala collection to form an RDD.
*
* This method is identical to `parallelize`.
@@ -1079,8 +1159,8 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
kcf: () => WritableConverter[K], vcf: () => WritableConverter[V]): RDD[(K, V)] = {
withScope {
assertNotStopped()
- val kc = kcf()
- val vc = vcf()
+ val kc = clean(kcf)()
+ val vc = clean(vcf)()
val format = classOf[SequenceFileInputFormat[Writable, Writable]]
val writables = hadoopFile(path, format,
kc.writableClass(km).asInstanceOf[Class[Writable]],
@@ -1911,7 +1991,7 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli
// Note: this code assumes that the task scheduler has been initialized and has contacted
// the cluster manager to get an application ID (in case the cluster manager provides one).
listenerBus.post(SparkListenerApplicationStart(appName, Some(applicationId),
- startTime, sparkUser, applicationAttemptId))
+ startTime, sparkUser, applicationAttemptId, schedulerBackend.getDriverLogUrls))
}
/** Post the application end event */
diff --git a/core/src/main/scala/org/apache/spark/SparkEnv.scala b/core/src/main/scala/org/apache/spark/SparkEnv.scala
index 0c4d28f786edd..327114542880d 100644
--- a/core/src/main/scala/org/apache/spark/SparkEnv.scala
+++ b/core/src/main/scala/org/apache/spark/SparkEnv.scala
@@ -313,7 +313,8 @@ object SparkEnv extends Logging {
// Let the user specify short names for shuffle managers
val shortShuffleMgrNames = Map(
"hash" -> "org.apache.spark.shuffle.hash.HashShuffleManager",
- "sort" -> "org.apache.spark.shuffle.sort.SortShuffleManager")
+ "sort" -> "org.apache.spark.shuffle.sort.SortShuffleManager",
+ "tungsten-sort" -> "org.apache.spark.shuffle.unsafe.UnsafeShuffleManager")
val shuffleMgrName = conf.get("spark.shuffle.manager", "sort")
val shuffleMgrClass = shortShuffleMgrNames.getOrElse(shuffleMgrName.toLowerCase, shuffleMgrName)
val shuffleManager = instantiateClass[ShuffleManager](shuffleMgrClass)
@@ -378,7 +379,7 @@ object SparkEnv extends Logging {
}
val outputCommitCoordinator = mockOutputCommitCoordinator.getOrElse {
- new OutputCommitCoordinator(conf)
+ new OutputCommitCoordinator(conf, isDriver)
}
val outputCommitCoordinatorRef = registerOrLookupEndpoint("OutputCommitCoordinator",
new OutputCommitCoordinatorEndpoint(rpcEnv, outputCommitCoordinator))
diff --git a/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala b/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
index 8bf0627fc420d..74db7643224f5 100644
--- a/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
+++ b/core/src/main/scala/org/apache/spark/api/java/JavaRDDLike.scala
@@ -386,9 +386,16 @@ trait JavaRDDLike[T, This <: JavaRDDLike[T, This]] extends Serializable {
/**
* Aggregate the elements of each partition, and then the results for all the partitions, using a
- * given associative function and a neutral "zero value". The function op(t1, t2) is allowed to
- * modify t1 and return it as its result value to avoid object allocation; however, it should not
- * modify t2.
+ * given associative and commutative function and a neutral "zero value". The function
+ * op(t1, t2) is allowed to modify t1 and return it as its result value to avoid object
+ * allocation; however, it should not modify t2.
+ *
+ * This behaves somewhat differently from fold operations implemented for non-distributed
+ * collections in functional languages like Scala. This fold operation may be applied to
+ * partitions individually, and then fold those results into the final result, rather than
+ * apply the fold to each element sequentially in some defined ordering. For functions
+ * that are not commutative, the result may differ from that of a fold applied to a
+ * non-distributed collection.
*/
def fold(zeroValue: T)(f: JFunction2[T, T, T]): T =
rdd.fold(zeroValue)(f)
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala b/core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
index 7409dc2d866f6..2d92f6a42b308 100644
--- a/core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
@@ -47,6 +47,7 @@ private[spark] class PythonRDD(
pythonIncludes: JList[String],
preservePartitoning: Boolean,
pythonExec: String,
+ pythonVer: String,
broadcastVars: JList[Broadcast[PythonBroadcast]],
accumulator: Accumulator[JList[Array[Byte]]])
extends RDD[Array[Byte]](parent) {
@@ -210,6 +211,8 @@ private[spark] class PythonRDD(
val dataOut = new DataOutputStream(stream)
// Partition index
dataOut.writeInt(split.index)
+ // Python version of driver
+ PythonRDD.writeUTF(pythonVer, dataOut)
// sparkFilesDir
PythonRDD.writeUTF(SparkFiles.getRootDirectory, dataOut)
// Python includes (*.zip and *.egg files)
diff --git a/core/src/main/scala/org/apache/spark/api/python/PythonUtils.scala b/core/src/main/scala/org/apache/spark/api/python/PythonUtils.scala
index acbaba6791850..90dacaeb93429 100644
--- a/core/src/main/scala/org/apache/spark/api/python/PythonUtils.scala
+++ b/core/src/main/scala/org/apache/spark/api/python/PythonUtils.scala
@@ -31,7 +31,7 @@ private[spark] object PythonUtils {
def sparkPythonPath: String = {
val pythonPath = new ArrayBuffer[String]
for (sparkHome <- sys.env.get("SPARK_HOME")) {
- pythonPath += Seq(sparkHome, "python").mkString(File.separator)
+ pythonPath += Seq(sparkHome, "python", "lib", "pyspark.zip").mkString(File.separator)
pythonPath += Seq(sparkHome, "python", "lib", "py4j-0.8.2.1-src.zip").mkString(File.separator)
}
pythonPath ++= SparkContext.jarOfObject(this)
@@ -50,7 +50,21 @@ private[spark] object PythonUtils {
/**
* Convert list of T into seq of T (for calling API with varargs)
*/
- def toSeq[T](cols: JList[T]): Seq[T] = {
- cols.toList.toSeq
+ def toSeq[T](vs: JList[T]): Seq[T] = {
+ vs.toList.toSeq
+ }
+
+ /**
+ * Convert list of T into array of T (for calling API with array)
+ */
+ def toArray[T](vs: JList[T]): Array[T] = {
+ vs.toArray().asInstanceOf[Array[T]]
+ }
+
+ /**
+ * Convert java map of K, V into Map of K, V (for calling API with varargs)
+ */
+ def toScalaMap[K, V](jm: java.util.Map[K, V]): Map[K, V] = {
+ jm.toMap
}
}
diff --git a/core/src/main/scala/org/apache/spark/api/r/RBackend.scala b/core/src/main/scala/org/apache/spark/api/r/RBackend.scala
index 3a2c94bd9d875..0a91977928cee 100644
--- a/core/src/main/scala/org/apache/spark/api/r/RBackend.scala
+++ b/core/src/main/scala/org/apache/spark/api/r/RBackend.scala
@@ -18,7 +18,7 @@
package org.apache.spark.api.r
import java.io.{DataOutputStream, File, FileOutputStream, IOException}
-import java.net.{InetSocketAddress, ServerSocket}
+import java.net.{InetAddress, InetSocketAddress, ServerSocket}
import java.util.concurrent.TimeUnit
import io.netty.bootstrap.ServerBootstrap
@@ -65,7 +65,7 @@ private[spark] class RBackend {
}
})
- channelFuture = bootstrap.bind(new InetSocketAddress(0))
+ channelFuture = bootstrap.bind(new InetSocketAddress("localhost", 0))
channelFuture.syncUninterruptibly()
channelFuture.channel().localAddress().asInstanceOf[InetSocketAddress].getPort()
}
@@ -101,7 +101,7 @@ private[spark] object RBackend extends Logging {
try {
// bind to random port
val boundPort = sparkRBackend.init()
- val serverSocket = new ServerSocket(0, 1)
+ val serverSocket = new ServerSocket(0, 1, InetAddress.getByName("localhost"))
val listenPort = serverSocket.getLocalPort()
// tell the R process via temporary file
diff --git a/core/src/main/scala/org/apache/spark/api/r/RRDD.scala b/core/src/main/scala/org/apache/spark/api/r/RRDD.scala
index 6fea5e1144f2f..06247f7e8b78c 100644
--- a/core/src/main/scala/org/apache/spark/api/r/RRDD.scala
+++ b/core/src/main/scala/org/apache/spark/api/r/RRDD.scala
@@ -18,7 +18,7 @@
package org.apache.spark.api.r
import java.io._
-import java.net.ServerSocket
+import java.net.{InetAddress, ServerSocket}
import java.util.{Map => JMap}
import scala.collection.JavaConversions._
@@ -55,7 +55,7 @@ private abstract class BaseRRDD[T: ClassTag, U: ClassTag](
val parentIterator = firstParent[T].iterator(partition, context)
// we expect two connections
- val serverSocket = new ServerSocket(0, 2)
+ val serverSocket = new ServerSocket(0, 2, InetAddress.getByName("localhost"))
val listenPort = serverSocket.getLocalPort()
// The stdout/stderr is shared by multiple tasks, because we use one daemon
@@ -414,7 +414,7 @@ private[r] object RRDD {
synchronized {
if (daemonChannel == null) {
// we expect one connections
- val serverSocket = new ServerSocket(0, 1)
+ val serverSocket = new ServerSocket(0, 1, InetAddress.getByName("localhost"))
val daemonPort = serverSocket.getLocalPort
errThread = createRProcess(rLibDir, daemonPort, "daemon.R")
// the socket used to send out the input of task
diff --git a/core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala b/core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala
index f0e77c2ba982b..860e1a24901b6 100644
--- a/core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/LocalSparkCluster.scala
@@ -48,7 +48,9 @@ class LocalSparkCluster(
logInfo("Starting a local Spark cluster with " + numWorkers + " workers.")
// Disable REST server on Master in this mode unless otherwise specified
- val _conf = conf.clone().setIfMissing("spark.master.rest.enabled", "false")
+ val _conf = conf.clone()
+ .setIfMissing("spark.master.rest.enabled", "false")
+ .set("spark.shuffle.service.enabled", "false")
/* Start the Master */
val (masterSystem, masterPort, _, _) = Master.startSystemAndActor(localHostname, 0, 0, _conf)
diff --git a/core/src/main/scala/org/apache/spark/deploy/PythonRunner.scala b/core/src/main/scala/org/apache/spark/deploy/PythonRunner.scala
index 53e18c4bcec23..c2ed43a5397d6 100644
--- a/core/src/main/scala/org/apache/spark/deploy/PythonRunner.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/PythonRunner.scala
@@ -18,9 +18,11 @@
package org.apache.spark.deploy
import java.net.URI
+import java.io.File
import scala.collection.mutable.ArrayBuffer
import scala.collection.JavaConversions._
+import scala.util.Try
import org.apache.spark.api.python.PythonUtils
import org.apache.spark.util.{RedirectThread, Utils}
@@ -81,16 +83,13 @@ object PythonRunner {
throw new IllegalArgumentException("Launching Python applications through " +
s"spark-submit is currently only supported for local files: $path")
}
- val windows = Utils.isWindows || testWindows
- var formattedPath = if (windows) Utils.formatWindowsPath(path) else path
-
- // Strip the URI scheme from the path
- formattedPath =
- new URI(formattedPath).getScheme match {
- case null => formattedPath
- case Utils.windowsDrive(d) if windows => formattedPath
- case _ => new URI(formattedPath).getPath
- }
+ // get path when scheme is file.
+ val uri = Try(new URI(path)).getOrElse(new File(path).toURI)
+ var formattedPath = uri.getScheme match {
+ case null => path
+ case "file" | "local" => uri.getPath
+ case _ => null
+ }
// Guard against malformed paths potentially throwing NPE
if (formattedPath == null) {
@@ -99,7 +98,9 @@ object PythonRunner {
// In Windows, the drive should not be prefixed with "/"
// For instance, python does not understand "/C:/path/to/sheep.py"
- formattedPath = if (windows) formattedPath.stripPrefix("/") else formattedPath
+ if (Utils.isWindows && formattedPath.matches("/[a-zA-Z]:/.*")) {
+ formattedPath = formattedPath.stripPrefix("/")
+ }
formattedPath
}
diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala b/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
index b563034457a91..7fa75ac8c2b54 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
@@ -22,22 +22,22 @@ import java.lang.reflect.Method
import java.security.PrivilegedExceptionAction
import java.util.{Arrays, Comparator}
+import scala.collection.JavaConversions._
+import scala.concurrent.duration._
+import scala.language.postfixOps
+
import com.google.common.primitives.Longs
import org.apache.hadoop.conf.Configuration
-import org.apache.hadoop.fs.{FileStatus, FileSystem, Path, PathFilter}
import org.apache.hadoop.fs.FileSystem.Statistics
+import org.apache.hadoop.fs.{FileStatus, FileSystem, Path, PathFilter}
import org.apache.hadoop.hdfs.security.token.delegation.DelegationTokenIdentifier
import org.apache.hadoop.mapred.JobConf
import org.apache.hadoop.mapreduce.JobContext
import org.apache.hadoop.security.{Credentials, UserGroupInformation}
-import org.apache.spark.{Logging, SparkConf, SparkException}
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.Utils
-
-import scala.collection.JavaConversions._
-import scala.concurrent.duration._
-import scala.language.postfixOps
+import org.apache.spark.{Logging, SparkConf, SparkException}
/**
* :: DeveloperApi ::
@@ -199,13 +199,43 @@ class SparkHadoopUtil extends Logging {
* that file.
*/
def listLeafStatuses(fs: FileSystem, basePath: Path): Seq[FileStatus] = {
- def recurse(path: Path): Array[FileStatus] = {
- val (directories, leaves) = fs.listStatus(path).partition(_.isDir)
- leaves ++ directories.flatMap(f => listLeafStatuses(fs, f.getPath))
+ listLeafStatuses(fs, fs.getFileStatus(basePath))
+ }
+
+ /**
+ * Get [[FileStatus]] objects for all leaf children (files) under the given base path. If the
+ * given path points to a file, return a single-element collection containing [[FileStatus]] of
+ * that file.
+ */
+ def listLeafStatuses(fs: FileSystem, baseStatus: FileStatus): Seq[FileStatus] = {
+ def recurse(status: FileStatus): Seq[FileStatus] = {
+ val (directories, leaves) = fs.listStatus(status.getPath).partition(_.isDir)
+ leaves ++ directories.flatMap(f => listLeafStatuses(fs, f))
}
- val baseStatus = fs.getFileStatus(basePath)
- if (baseStatus.isDir) recurse(basePath) else Array(baseStatus)
+ if (baseStatus.isDir) recurse(baseStatus) else Seq(baseStatus)
+ }
+
+ def listLeafDirStatuses(fs: FileSystem, basePath: Path): Seq[FileStatus] = {
+ listLeafDirStatuses(fs, fs.getFileStatus(basePath))
+ }
+
+ def listLeafDirStatuses(fs: FileSystem, baseStatus: FileStatus): Seq[FileStatus] = {
+ def recurse(status: FileStatus): Seq[FileStatus] = {
+ val (directories, files) = fs.listStatus(status.getPath).partition(_.isDir)
+ val leaves = if (directories.isEmpty) Seq(status) else Seq.empty[FileStatus]
+ leaves ++ directories.flatMap(dir => listLeafDirStatuses(fs, dir))
+ }
+
+ assert(baseStatus.isDir)
+ recurse(baseStatus)
+ }
+
+ def globPath(pattern: Path): Seq[Path] = {
+ val fs = pattern.getFileSystem(conf)
+ Option(fs.globStatus(pattern)).map { statuses =>
+ statuses.map(_.getPath.makeQualified(fs.getUri, fs.getWorkingDirectory)).toSeq
+ }.getOrElse(Seq.empty[Path])
}
/**
diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
index 8a0327984e195..329fa06ba8ba5 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
@@ -332,6 +332,47 @@ object SparkSubmit {
}
}
+ // In yarn mode for a python app, add pyspark archives to files
+ // that can be distributed with the job
+ if (args.isPython && clusterManager == YARN) {
+ var pyArchives: String = null
+ val pyArchivesEnvOpt = sys.env.get("PYSPARK_ARCHIVES_PATH")
+ if (pyArchivesEnvOpt.isDefined) {
+ pyArchives = pyArchivesEnvOpt.get
+ } else {
+ if (!sys.env.contains("SPARK_HOME")) {
+ printErrorAndExit("SPARK_HOME does not exist for python application in yarn mode.")
+ }
+ val pythonPath = new ArrayBuffer[String]
+ for (sparkHome <- sys.env.get("SPARK_HOME")) {
+ val pyLibPath = Seq(sparkHome, "python", "lib").mkString(File.separator)
+ val pyArchivesFile = new File(pyLibPath, "pyspark.zip")
+ if (!pyArchivesFile.exists()) {
+ printErrorAndExit("pyspark.zip does not exist for python application in yarn mode.")
+ }
+ val py4jFile = new File(pyLibPath, "py4j-0.8.2.1-src.zip")
+ if (!py4jFile.exists()) {
+ printErrorAndExit("py4j-0.8.2.1-src.zip does not exist for python application " +
+ "in yarn mode.")
+ }
+ pythonPath += pyArchivesFile.getAbsolutePath()
+ pythonPath += py4jFile.getAbsolutePath()
+ }
+ pyArchives = pythonPath.mkString(",")
+ }
+
+ pyArchives = pyArchives.split(",").map { localPath=>
+ val localURI = Utils.resolveURI(localPath)
+ if (localURI.getScheme != "local") {
+ args.files = mergeFileLists(args.files, localURI.toString)
+ new Path(localPath).getName
+ } else {
+ localURI.getPath
+ }
+ }.mkString(File.pathSeparator)
+ sysProps("spark.submit.pyArchives") = pyArchives
+ }
+
// If we're running a R app, set the main class to our specific R runner
if (args.isR && deployMode == CLIENT) {
if (args.primaryResource == SPARKR_SHELL) {
diff --git a/core/src/main/scala/org/apache/spark/deploy/history/ApplicationHistoryProvider.scala b/core/src/main/scala/org/apache/spark/deploy/history/ApplicationHistoryProvider.scala
index 6a5011af17458..298a8201960d1 100644
--- a/core/src/main/scala/org/apache/spark/deploy/history/ApplicationHistoryProvider.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/history/ApplicationHistoryProvider.scala
@@ -19,7 +19,7 @@ package org.apache.spark.deploy.history
import org.apache.spark.ui.SparkUI
-private[history] case class ApplicationAttemptInfo(
+private[spark] case class ApplicationAttemptInfo(
attemptId: Option[String],
startTime: Long,
endTime: Long,
@@ -27,7 +27,7 @@ private[history] case class ApplicationAttemptInfo(
sparkUser: String,
completed: Boolean = false)
-private[history] case class ApplicationHistoryInfo(
+private[spark] case class ApplicationHistoryInfo(
id: String,
name: String,
attempts: List[ApplicationAttemptInfo])
diff --git a/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala b/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
index 993763f3aa092..45c2be34c8680 100644
--- a/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala
@@ -17,23 +17,21 @@
package org.apache.spark.deploy.history
-import java.io.{IOException, BufferedInputStream, FileNotFoundException, InputStream}
+import java.io.{BufferedInputStream, FileNotFoundException, IOException, InputStream}
import java.util.concurrent.{ExecutorService, Executors, TimeUnit}
import scala.collection.mutable
-import scala.concurrent.duration.Duration
-import com.google.common.util.concurrent.ThreadFactoryBuilder
-
-import com.google.common.util.concurrent.MoreExecutors
-import org.apache.hadoop.fs.permission.AccessControlException
+import com.google.common.util.concurrent.{MoreExecutors, ThreadFactoryBuilder}
import org.apache.hadoop.fs.{FileStatus, Path}
+import org.apache.hadoop.fs.permission.AccessControlException
+
+import org.apache.spark.{Logging, SecurityManager, SparkConf}
import org.apache.spark.deploy.SparkHadoopUtil
import org.apache.spark.io.CompressionCodec
import org.apache.spark.scheduler._
import org.apache.spark.ui.SparkUI
import org.apache.spark.util.{Clock, SystemClock, ThreadUtils, Utils}
-import org.apache.spark.{Logging, SecurityManager, SparkConf}
/**
* A class that provides application history from event logs stored in the file system.
@@ -151,7 +149,7 @@ private[history] class FsHistoryProvider(conf: SparkConf, clock: Clock)
val conf = this.conf.clone()
val appSecManager = new SecurityManager(conf)
SparkUI.createHistoryUI(conf, replayBus, appSecManager, appId,
- HistoryServer.getAttemptURI(appId, attempt.attemptId))
+ HistoryServer.getAttemptURI(appId, attempt.attemptId), attempt.startTime)
// Do not call ui.bind() to avoid creating a new server for each application
}
diff --git a/core/src/main/scala/org/apache/spark/deploy/history/HistoryServer.scala b/core/src/main/scala/org/apache/spark/deploy/history/HistoryServer.scala
index 754c8e9b6668b..5a0eb585a9049 100644
--- a/core/src/main/scala/org/apache/spark/deploy/history/HistoryServer.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/history/HistoryServer.scala
@@ -25,6 +25,8 @@ import org.eclipse.jetty.servlet.{ServletContextHandler, ServletHolder}
import org.apache.spark.{Logging, SecurityManager, SparkConf}
import org.apache.spark.deploy.SparkHadoopUtil
+import org.apache.spark.status.api.v1.{ApiRootResource, ApplicationInfo, ApplicationsListResource,
+ UIRoot}
import org.apache.spark.ui.{SparkUI, UIUtils, WebUI}
import org.apache.spark.ui.JettyUtils._
import org.apache.spark.util.{SignalLogger, Utils}
@@ -45,7 +47,7 @@ class HistoryServer(
provider: ApplicationHistoryProvider,
securityManager: SecurityManager,
port: Int)
- extends WebUI(securityManager, port, conf) with Logging {
+ extends WebUI(securityManager, port, conf) with Logging with UIRoot {
// How many applications to retain
private val retainedApplications = conf.getInt("spark.history.retainedApplications", 50)
@@ -56,7 +58,7 @@ class HistoryServer(
require(parts.length == 1 || parts.length == 2, s"Invalid app key $key")
val ui = provider
.getAppUI(parts(0), if (parts.length > 1) Some(parts(1)) else None)
- .getOrElse(throw new NoSuchElementException())
+ .getOrElse(throw new NoSuchElementException(s"no app with key $key"))
attachSparkUI(ui)
ui
}
@@ -82,37 +84,37 @@ class HistoryServer(
return
}
- val appKey =
- if (parts.length == 3) {
- s"${parts(1)}/${parts(2)}"
- } else {
- parts(1)
+ val appId = parts(1)
+ val attemptId = if (parts.length >= 3) Some(parts(2)) else None
+
+ // Since we may have applications with multiple attempts mixed with applications with a
+ // single attempt, we need to try both. Try the single-attempt route first, and if an
+ // error is raised, then try the multiple attempt route.
+ if (!loadAppUi(appId, None) && (!attemptId.isDefined || !loadAppUi(appId, attemptId))) {
+ val msg = Application {appId} not found.
+ res.setStatus(HttpServletResponse.SC_NOT_FOUND)
+ UIUtils.basicSparkPage(msg, "Not Found").foreach { n =>
+ res.getWriter().write(n.toString)
}
+ return
+ }
// Note we don't use the UI retrieved from the cache; the cache loader above will register
// the app's UI, and all we need to do is redirect the user to the same URI that was
// requested, and the proper data should be served at that point.
- try {
- appCache.get(appKey)
- res.sendRedirect(res.encodeRedirectURL(req.getRequestURI()))
- } catch {
- case e: Exception => e.getCause() match {
- case nsee: NoSuchElementException =>
- val msg = Application {appKey} not found.
- res.setStatus(HttpServletResponse.SC_NOT_FOUND)
- UIUtils.basicSparkPage(msg, "Not Found").foreach(
- n => res.getWriter().write(n.toString))
-
- case cause: Exception => throw cause
- }
- }
+ res.sendRedirect(res.encodeRedirectURL(req.getRequestURI()))
}
+
// SPARK-5983 ensure TRACE is not supported
protected override def doTrace(req: HttpServletRequest, res: HttpServletResponse): Unit = {
res.sendError(HttpServletResponse.SC_METHOD_NOT_ALLOWED)
}
}
+ def getSparkUI(appKey: String): Option[SparkUI] = {
+ Option(appCache.get(appKey))
+ }
+
initialize()
/**
@@ -123,6 +125,9 @@ class HistoryServer(
*/
def initialize() {
attachPage(new HistoryPage(this))
+
+ attachHandler(ApiRootResource.getServletHandler(this))
+
attachHandler(createStaticHandler(SparkUI.STATIC_RESOURCE_DIR, "/static"))
val contextHandler = new ServletContextHandler
@@ -160,7 +165,13 @@ class HistoryServer(
*
* @return List of all known applications.
*/
- def getApplicationList(): Iterable[ApplicationHistoryInfo] = provider.getListing()
+ def getApplicationList(): Iterable[ApplicationHistoryInfo] = {
+ provider.getListing()
+ }
+
+ def getApplicationInfoList: Iterator[ApplicationInfo] = {
+ getApplicationList().iterator.map(ApplicationsListResource.appHistoryInfoToPublicAppInfo)
+ }
/**
* Returns the provider configuration to show in the listing page.
@@ -169,6 +180,20 @@ class HistoryServer(
*/
def getProviderConfig(): Map[String, String] = provider.getConfig()
+ private def loadAppUi(appId: String, attemptId: Option[String]): Boolean = {
+ try {
+ appCache.get(appId + attemptId.map { id => s"/$id" }.getOrElse(""))
+ true
+ } catch {
+ case e: Exception => e.getCause() match {
+ case nsee: NoSuchElementException =>
+ false
+
+ case cause: Exception => throw cause
+ }
+ }
+ }
+
}
/**
@@ -189,8 +214,8 @@ object HistoryServer extends Logging {
def main(argStrings: Array[String]) {
SignalLogger.register(log)
- initSecurity()
new HistoryServerArguments(conf, argStrings)
+ initSecurity()
val securityManager = new SecurityManager(conf)
val providerName = conf.getOption("spark.history.provider")
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ApplicationInfo.scala b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationInfo.scala
index f59d550d4f3b3..1620e95bea218 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ApplicationInfo.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ApplicationInfo.scala
@@ -28,7 +28,7 @@ import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.deploy.ApplicationDescription
import org.apache.spark.util.Utils
-private[deploy] class ApplicationInfo(
+private[spark] class ApplicationInfo(
val startTime: Long,
val id: String,
val desc: ApplicationDescription,
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/Master.scala b/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
index 0fac3cdcf55e7..fccceb3ea528b 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/Master.scala
@@ -165,7 +165,7 @@ private[master] class Master(
(fsFactory.createPersistenceEngine(), fsFactory.createLeaderElectionAgent(this))
case "CUSTOM" =>
val clazz = Class.forName(conf.get("spark.deploy.recoveryMode.factory"))
- val factory = clazz.getConstructor(conf.getClass, Serialization.getClass)
+ val factory = clazz.getConstructor(classOf[SparkConf], classOf[Serialization])
.newInstance(conf, SerializationExtension(context.system))
.asInstanceOf[StandaloneRecoveryModeFactory]
(factory.createPersistenceEngine(), factory.createLeaderElectionAgent(this))
@@ -754,9 +754,9 @@ private[master] class Master(
/**
* Rebuild a new SparkUI from the given application's event logs.
- * Return whether this is successful.
+ * Return the UI if successful, else None
*/
- private def rebuildSparkUI(app: ApplicationInfo): Boolean = {
+ private[master] def rebuildSparkUI(app: ApplicationInfo): Option[SparkUI] = {
val appName = app.desc.name
val notFoundBasePath = HistoryServer.UI_PATH_PREFIX + "/not-found"
try {
@@ -764,7 +764,7 @@ private[master] class Master(
.getOrElse {
// Event logging is not enabled for this application
app.desc.appUiUrl = notFoundBasePath
- return false
+ return None
}
val eventLogFilePrefix = EventLoggingListener.getLogPath(
@@ -787,7 +787,7 @@ private[master] class Master(
val logInput = EventLoggingListener.openEventLog(new Path(eventLogFile), fs)
val replayBus = new ReplayListenerBus()
val ui = SparkUI.createHistoryUI(new SparkConf, replayBus, new SecurityManager(conf),
- appName + status, HistoryServer.UI_PATH_PREFIX + s"/${app.id}")
+ appName + status, HistoryServer.UI_PATH_PREFIX + s"/${app.id}", app.startTime)
val maybeTruncated = eventLogFile.endsWith(EventLoggingListener.IN_PROGRESS)
try {
replayBus.replay(logInput, eventLogFile, maybeTruncated)
@@ -798,7 +798,7 @@ private[master] class Master(
webUi.attachSparkUI(ui)
// Application UI is successfully rebuilt, so link the Master UI to it
app.desc.appUiUrl = ui.basePath
- true
+ Some(ui)
} catch {
case fnf: FileNotFoundException =>
// Event logging is enabled for this application, but no event logs are found
@@ -808,7 +808,7 @@ private[master] class Master(
msg += " Did you specify the correct logging directory?"
msg = URLEncoder.encode(msg, "UTF-8")
app.desc.appUiUrl = notFoundBasePath + s"?msg=$msg&title=$title"
- false
+ None
case e: Exception =>
// Relay exception message to application UI page
val title = s"Application history load error (${app.id})"
@@ -817,7 +817,7 @@ private[master] class Master(
logError(msg, e)
msg = URLEncoder.encode(msg, "UTF-8")
app.desc.appUiUrl = notFoundBasePath + s"?msg=$msg&exception=$exception&title=$title"
- false
+ None
}
}
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala b/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
index 9c3f79f1244b7..66a9ff38678c6 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/MasterSource.scala
@@ -30,6 +30,11 @@ private[spark] class MasterSource(val master: Master) extends Source {
override def getValue: Int = master.workers.size
})
+ // Gauge for alive worker numbers in cluster
+ metricRegistry.register(MetricRegistry.name("aliveWorkers"), new Gauge[Int]{
+ override def getValue: Int = master.workers.filter(_.state == WorkerState.ALIVE).size
+ })
+
// Gauge for application numbers in cluster
metricRegistry.register(MetricRegistry.name("apps"), new Gauge[Int] {
override def getValue: Int = master.apps.size
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
index 273f077bd8f57..06e265f99e231 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/ApplicationPage.scala
@@ -23,10 +23,8 @@ import scala.concurrent.Await
import scala.xml.Node
import akka.pattern.ask
-import org.json4s.JValue
-import org.json4s.JsonAST.JNothing
-import org.apache.spark.deploy.{ExecutorState, JsonProtocol}
+import org.apache.spark.deploy.ExecutorState
import org.apache.spark.deploy.DeployMessages.{MasterStateResponse, RequestMasterState}
import org.apache.spark.deploy.master.ExecutorDesc
import org.apache.spark.ui.{UIUtils, WebUIPage}
@@ -37,21 +35,6 @@ private[ui] class ApplicationPage(parent: MasterWebUI) extends WebUIPage("app")
private val master = parent.masterActorRef
private val timeout = parent.timeout
- /** Executor details for a particular application */
- override def renderJson(request: HttpServletRequest): JValue = {
- val appId = request.getParameter("appId")
- val stateFuture = (master ? RequestMasterState)(timeout).mapTo[MasterStateResponse]
- val state = Await.result(stateFuture, timeout)
- val app = state.activeApps.find(_.id == appId).getOrElse({
- state.completedApps.find(_.id == appId).getOrElse(null)
- })
- if (app == null) {
- JNothing
- } else {
- JsonProtocol.writeApplicationInfo(app)
- }
- }
-
/** Executor details for a particular application */
def render(request: HttpServletRequest): Seq[Node] = {
val appId = request.getParameter("appId")
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
index 1f2c3fdbfb2bc..756927682cd24 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterPage.scala
@@ -35,10 +35,13 @@ private[ui] class MasterPage(parent: MasterWebUI) extends WebUIPage("") {
private val master = parent.masterActorRef
private val timeout = parent.timeout
- override def renderJson(request: HttpServletRequest): JValue = {
+ def getMasterState: MasterStateResponse = {
val stateFuture = (master ? RequestMasterState)(timeout).mapTo[MasterStateResponse]
- val state = Await.result(stateFuture, timeout)
- JsonProtocol.writeMasterState(state)
+ Await.result(stateFuture, timeout)
+ }
+
+ override def renderJson(request: HttpServletRequest): JValue = {
+ JsonProtocol.writeMasterState(getMasterState)
}
def handleAppKillRequest(request: HttpServletRequest): Unit = {
@@ -68,8 +71,7 @@ private[ui] class MasterPage(parent: MasterWebUI) extends WebUIPage("") {
/** Index view listing applications and executors */
def render(request: HttpServletRequest): Seq[Node] = {
- val stateFuture = (master ? RequestMasterState)(timeout).mapTo[MasterStateResponse]
- val state = Await.result(stateFuture, timeout)
+ val state = getMasterState
val workerHeaders = Seq("Worker Id", "Address", "State", "Cores", "Memory")
val workers = state.workers.sortBy(_.id)
diff --git a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
index dea0a65eeeaa6..2111a8581f2e4 100644
--- a/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/master/ui/MasterWebUI.scala
@@ -19,6 +19,8 @@ package org.apache.spark.deploy.master.ui
import org.apache.spark.Logging
import org.apache.spark.deploy.master.Master
+import org.apache.spark.status.api.v1.{ApiRootResource, ApplicationsListResource, ApplicationInfo,
+ UIRoot}
import org.apache.spark.ui.{SparkUI, WebUI}
import org.apache.spark.ui.JettyUtils._
import org.apache.spark.util.RpcUtils
@@ -28,12 +30,15 @@ import org.apache.spark.util.RpcUtils
*/
private[master]
class MasterWebUI(val master: Master, requestedPort: Int)
- extends WebUI(master.securityMgr, requestedPort, master.conf, name = "MasterUI") with Logging {
+ extends WebUI(master.securityMgr, requestedPort, master.conf, name = "MasterUI") with Logging
+ with UIRoot {
val masterActorRef = master.self
val timeout = RpcUtils.askTimeout(master.conf)
val killEnabled = master.conf.getBoolean("spark.ui.killEnabled", true)
+ val masterPage = new MasterPage(this)
+
initialize()
/** Initialize all components of the server. */
@@ -43,6 +48,7 @@ class MasterWebUI(val master: Master, requestedPort: Int)
attachPage(new HistoryNotFoundPage(this))
attachPage(masterPage)
attachHandler(createStaticHandler(MasterWebUI.STATIC_RESOURCE_DIR, "/static"))
+ attachHandler(ApiRootResource.getServletHandler(this))
attachHandler(createRedirectHandler(
"/app/kill", "/", masterPage.handleAppKillRequest, httpMethods = Set("POST")))
attachHandler(createRedirectHandler(
@@ -60,6 +66,23 @@ class MasterWebUI(val master: Master, requestedPort: Int)
assert(serverInfo.isDefined, "Master UI must be bound to a server before detaching SparkUIs")
ui.getHandlers.foreach(detachHandler)
}
+
+ def getApplicationInfoList: Iterator[ApplicationInfo] = {
+ val state = masterPage.getMasterState
+ val activeApps = state.activeApps.sortBy(_.startTime).reverse
+ val completedApps = state.completedApps.sortBy(_.endTime).reverse
+ activeApps.iterator.map { ApplicationsListResource.convertApplicationInfo(_, false) } ++
+ completedApps.iterator.map { ApplicationsListResource.convertApplicationInfo(_, true) }
+ }
+
+ def getSparkUI(appId: String): Option[SparkUI] = {
+ val state = masterPage.getMasterState
+ val activeApps = state.activeApps.sortBy(_.startTime).reverse
+ val completedApps = state.completedApps.sortBy(_.endTime).reverse
+ (activeApps ++ completedApps).find { _.id == appId }.flatMap {
+ master.rebuildSparkUI
+ }
+ }
}
private[master] object MasterWebUI {
diff --git a/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala b/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala
index 8f3cc54051048..c8df024dda355 100755
--- a/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala
@@ -324,9 +324,6 @@ private[worker] class Worker(
map(e => new ExecutorDescription(e.appId, e.execId, e.cores, e.state))
sender ! WorkerSchedulerStateResponse(workerId, execs.toList, drivers.keys.toSeq)
- case Heartbeat =>
- logInfo(s"Received heartbeat from driver ${sender.path}")
-
case RegisterWorkerFailed(message) =>
if (!registered) {
logError("Worker registration failed: " + message)
diff --git a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
index ed159dec4f998..f3a26f54a81fb 100644
--- a/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
+++ b/core/src/main/scala/org/apache/spark/executor/CoarseGrainedExecutorBackend.scala
@@ -33,7 +33,7 @@ import org.apache.spark.deploy.worker.WorkerWatcher
import org.apache.spark.scheduler.TaskDescription
import org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages._
import org.apache.spark.serializer.SerializerInstance
-import org.apache.spark.util.{SignalLogger, Utils}
+import org.apache.spark.util.{ThreadUtils, SignalLogger, Utils}
private[spark] class CoarseGrainedExecutorBackend(
override val rpcEnv: RpcEnv,
@@ -55,18 +55,19 @@ private[spark] class CoarseGrainedExecutorBackend(
private[this] val ser: SerializerInstance = env.closureSerializer.newInstance()
override def onStart() {
- import scala.concurrent.ExecutionContext.Implicits.global
logInfo("Connecting to driver: " + driverUrl)
rpcEnv.asyncSetupEndpointRefByURI(driverUrl).flatMap { ref =>
+ // This is a very fast action so we can use "ThreadUtils.sameThread"
driver = Some(ref)
ref.ask[RegisteredExecutor.type](
RegisterExecutor(executorId, self, hostPort, cores, extractLogUrls))
- } onComplete {
+ }(ThreadUtils.sameThread).onComplete {
+ // This is a very fast action so we can use "ThreadUtils.sameThread"
case Success(msg) => Utils.tryLogNonFatalError {
Option(self).foreach(_.send(msg)) // msg must be RegisteredExecutor
}
case Failure(e) => logError(s"Cannot register with driver: $driverUrl", e)
- }
+ }(ThreadUtils.sameThread)
}
def extractLogUrls: Map[String, String] = {
diff --git a/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
index 0756cdb2ed8e6..0d8ac1f80a9f4 100644
--- a/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
+++ b/core/src/main/scala/org/apache/spark/io/CompressionCodec.scala
@@ -17,7 +17,7 @@
package org.apache.spark.io
-import java.io.{InputStream, OutputStream}
+import java.io.{IOException, InputStream, OutputStream}
import com.ning.compress.lzf.{LZFInputStream, LZFOutputStream}
import net.jpountz.lz4.{LZ4BlockInputStream, LZ4BlockOutputStream}
@@ -154,8 +154,53 @@ class SnappyCompressionCodec(conf: SparkConf) extends CompressionCodec {
override def compressedOutputStream(s: OutputStream): OutputStream = {
val blockSize = conf.getSizeAsBytes("spark.io.compression.snappy.blockSize", "32k").toInt
- new SnappyOutputStream(s, blockSize)
+ new SnappyOutputStreamWrapper(new SnappyOutputStream(s, blockSize))
}
override def compressedInputStream(s: InputStream): InputStream = new SnappyInputStream(s)
}
+
+/**
+ * Wrapper over [[SnappyOutputStream]] which guards against write-after-close and double-close
+ * issues. See SPARK-7660 for more details. This wrapping can be removed if we upgrade to a version
+ * of snappy-java that contains the fix for https://github.com/xerial/snappy-java/issues/107.
+ */
+private final class SnappyOutputStreamWrapper(os: SnappyOutputStream) extends OutputStream {
+
+ private[this] var closed: Boolean = false
+
+ override def write(b: Int): Unit = {
+ if (closed) {
+ throw new IOException("Stream is closed")
+ }
+ os.write(b)
+ }
+
+ override def write(b: Array[Byte]): Unit = {
+ if (closed) {
+ throw new IOException("Stream is closed")
+ }
+ os.write(b)
+ }
+
+ override def write(b: Array[Byte], off: Int, len: Int): Unit = {
+ if (closed) {
+ throw new IOException("Stream is closed")
+ }
+ os.write(b, off, len)
+ }
+
+ override def flush(): Unit = {
+ if (closed) {
+ throw new IOException("Stream is closed")
+ }
+ os.flush()
+ }
+
+ override def close(): Unit = {
+ if (!closed) {
+ closed = true
+ os.close()
+ }
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/network/netty/NettyBlockTransferService.scala b/core/src/main/scala/org/apache/spark/network/netty/NettyBlockTransferService.scala
index 6181c0ee9fa2b..d650d5fe73087 100644
--- a/core/src/main/scala/org/apache/spark/network/netty/NettyBlockTransferService.scala
+++ b/core/src/main/scala/org/apache/spark/network/netty/NettyBlockTransferService.scala
@@ -59,12 +59,22 @@ class NettyBlockTransferService(conf: SparkConf, securityManager: SecurityManage
}
transportContext = new TransportContext(transportConf, rpcHandler)
clientFactory = transportContext.createClientFactory(clientBootstrap.toList)
- server = transportContext.createServer(conf.getInt("spark.blockManager.port", 0),
- serverBootstrap.toList)
+ server = createServer(serverBootstrap.toList)
appId = conf.getAppId
logInfo("Server created on " + server.getPort)
}
+ /** Creates and binds the TransportServer, possibly trying multiple ports. */
+ private def createServer(bootstraps: List[TransportServerBootstrap]): TransportServer = {
+ def startService(port: Int): (TransportServer, Int) = {
+ val server = transportContext.createServer(port, bootstraps)
+ (server, server.getPort)
+ }
+
+ val portToTry = conf.getInt("spark.blockManager.port", 0)
+ Utils.startServiceOnPort(portToTry, startService, conf, getClass.getName)._1
+ }
+
override def fetchBlocks(
host: String,
port: Int,
diff --git a/core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala b/core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala
index ec185340c3a2d..bbf1b83af0795 100644
--- a/core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala
@@ -19,8 +19,10 @@ package org.apache.spark.rdd
import java.util.concurrent.atomic.AtomicLong
+import org.apache.spark.util.ThreadUtils
+
import scala.collection.mutable.ArrayBuffer
-import scala.concurrent.ExecutionContext.Implicits.global
+import scala.concurrent.ExecutionContext
import scala.reflect.ClassTag
import org.apache.spark.{ComplexFutureAction, FutureAction, Logging}
@@ -66,6 +68,8 @@ class AsyncRDDActions[T: ClassTag](self: RDD[T]) extends Serializable with Loggi
val f = new ComplexFutureAction[Seq[T]]
f.run {
+ // This is a blocking action so we should use "AsyncRDDActions.futureExecutionContext" which
+ // is a cached thread pool.
val results = new ArrayBuffer[T](num)
val totalParts = self.partitions.length
var partsScanned = 0
@@ -101,7 +105,7 @@ class AsyncRDDActions[T: ClassTag](self: RDD[T]) extends Serializable with Loggi
partsScanned += numPartsToTry
}
results.toSeq
- }
+ }(AsyncRDDActions.futureExecutionContext)
f
}
@@ -123,3 +127,8 @@ class AsyncRDDActions[T: ClassTag](self: RDD[T]) extends Serializable with Loggi
(index, data) => Unit, Unit)
}
}
+
+private object AsyncRDDActions {
+ val futureExecutionContext = ExecutionContext.fromExecutorService(
+ ThreadUtils.newDaemonCachedThreadPool("AsyncRDDActions-future", 128))
+}
diff --git a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
index a6d5d2c94e17f..8653cdee1adee 100644
--- a/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
@@ -296,6 +296,7 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
* before sending results to a reducer, similarly to a "combiner" in MapReduce.
*/
def reduceByKeyLocally(func: (V, V) => V): Map[K, V] = self.withScope {
+ val cleanedF = self.sparkContext.clean(func)
if (keyClass.isArray) {
throw new SparkException("reduceByKeyLocally() does not support array keys")
@@ -305,7 +306,7 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
val map = new JHashMap[K, V]
iter.foreach { pair =>
val old = map.get(pair._1)
- map.put(pair._1, if (old == null) pair._2 else func(old, pair._2))
+ map.put(pair._1, if (old == null) pair._2 else cleanedF(old, pair._2))
}
Iterator(map)
} : Iterator[JHashMap[K, V]]
@@ -313,7 +314,7 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
val mergeMaps = (m1: JHashMap[K, V], m2: JHashMap[K, V]) => {
m2.foreach { pair =>
val old = m1.get(pair._1)
- m1.put(pair._1, if (old == null) pair._2 else func(old, pair._2))
+ m1.put(pair._1, if (old == null) pair._2 else cleanedF(old, pair._2))
}
m1
} : JHashMap[K, V]
diff --git a/core/src/main/scala/org/apache/spark/rdd/RDD.scala b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
index b3b60578c92e8..d772f03f76651 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDD.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDD.scala
@@ -717,7 +717,8 @@ abstract class RDD[T: ClassTag](
def mapPartitionsWithContext[U: ClassTag](
f: (TaskContext, Iterator[T]) => Iterator[U],
preservesPartitioning: Boolean = false): RDD[U] = withScope {
- val func = (context: TaskContext, index: Int, iter: Iterator[T]) => f(context, iter)
+ val cleanF = sc.clean(f)
+ val func = (context: TaskContext, index: Int, iter: Iterator[T]) => cleanF(context, iter)
new MapPartitionsRDD(this, sc.clean(func), preservesPartitioning)
}
@@ -741,9 +742,11 @@ abstract class RDD[T: ClassTag](
def mapWith[A, U: ClassTag]
(constructA: Int => A, preservesPartitioning: Boolean = false)
(f: (T, A) => U): RDD[U] = withScope {
+ val cleanF = sc.clean(f)
+ val cleanA = sc.clean(constructA)
mapPartitionsWithIndex((index, iter) => {
- val a = constructA(index)
- iter.map(t => f(t, a))
+ val a = cleanA(index)
+ iter.map(t => cleanF(t, a))
}, preservesPartitioning)
}
@@ -756,9 +759,11 @@ abstract class RDD[T: ClassTag](
def flatMapWith[A, U: ClassTag]
(constructA: Int => A, preservesPartitioning: Boolean = false)
(f: (T, A) => Seq[U]): RDD[U] = withScope {
+ val cleanF = sc.clean(f)
+ val cleanA = sc.clean(constructA)
mapPartitionsWithIndex((index, iter) => {
- val a = constructA(index)
- iter.flatMap(t => f(t, a))
+ val a = cleanA(index)
+ iter.flatMap(t => cleanF(t, a))
}, preservesPartitioning)
}
@@ -769,9 +774,11 @@ abstract class RDD[T: ClassTag](
*/
@deprecated("use mapPartitionsWithIndex and foreach", "1.0.0")
def foreachWith[A](constructA: Int => A)(f: (T, A) => Unit): Unit = withScope {
+ val cleanF = sc.clean(f)
+ val cleanA = sc.clean(constructA)
mapPartitionsWithIndex { (index, iter) =>
- val a = constructA(index)
- iter.map(t => {f(t, a); t})
+ val a = cleanA(index)
+ iter.map(t => {cleanF(t, a); t})
}
}
@@ -782,9 +789,11 @@ abstract class RDD[T: ClassTag](
*/
@deprecated("use mapPartitionsWithIndex and filter", "1.0.0")
def filterWith[A](constructA: Int => A)(p: (T, A) => Boolean): RDD[T] = withScope {
+ val cleanP = sc.clean(p)
+ val cleanA = sc.clean(constructA)
mapPartitionsWithIndex((index, iter) => {
- val a = constructA(index)
- iter.filter(t => p(t, a))
+ val a = cleanA(index)
+ iter.filter(t => cleanP(t, a))
}, preservesPartitioning = true)
}
@@ -901,7 +910,8 @@ abstract class RDD[T: ClassTag](
* Return an RDD that contains all matching values by applying `f`.
*/
def collect[U: ClassTag](f: PartialFunction[T, U]): RDD[U] = withScope {
- filter(f.isDefinedAt).map(f)
+ val cleanF = sc.clean(f)
+ filter(cleanF.isDefinedAt).map(cleanF)
}
/**
@@ -1005,9 +1015,16 @@ abstract class RDD[T: ClassTag](
/**
* Aggregate the elements of each partition, and then the results for all the partitions, using a
- * given associative function and a neutral "zero value". The function op(t1, t2) is allowed to
- * modify t1 and return it as its result value to avoid object allocation; however, it should not
- * modify t2.
+ * given associative and commutative function and a neutral "zero value". The function
+ * op(t1, t2) is allowed to modify t1 and return it as its result value to avoid object
+ * allocation; however, it should not modify t2.
+ *
+ * This behaves somewhat differently from fold operations implemented for non-distributed
+ * collections in functional languages like Scala. This fold operation may be applied to
+ * partitions individually, and then fold those results into the final result, rather than
+ * apply the fold to each element sequentially in some defined ordering. For functions
+ * that are not commutative, the result may differ from that of a fold applied to a
+ * non-distributed collection.
*/
def fold(zeroValue: T)(op: (T, T) => T): T = withScope {
// Clone the zero value since we will also be serializing it as part of tasks
@@ -1151,8 +1168,8 @@ abstract class RDD[T: ClassTag](
*/
@Experimental
def countApproxDistinct(p: Int, sp: Int): Long = withScope {
- require(p >= 4, s"p ($p) must be at least 4")
- require(sp <= 32, s"sp ($sp) cannot be greater than 32")
+ require(p >= 4, s"p ($p) must be >= 4")
+ require(sp <= 32, s"sp ($sp) must be <= 32")
require(sp == 0 || p <= sp, s"p ($p) cannot be greater than sp ($sp)")
val zeroCounter = new HyperLogLogPlus(p, sp)
aggregate(zeroCounter)(
@@ -1177,8 +1194,9 @@ abstract class RDD[T: ClassTag](
* It must be greater than 0.000017.
*/
def countApproxDistinct(relativeSD: Double = 0.05): Long = withScope {
+ require(relativeSD > 0.000017, s"accuracy ($relativeSD) must be greater than 0.000017")
val p = math.ceil(2.0 * math.log(1.054 / relativeSD) / math.log(2)).toInt
- countApproxDistinct(p, 0)
+ countApproxDistinct(if (p < 4) 4 else p, 0)
}
/**
@@ -1512,13 +1530,15 @@ abstract class RDD[T: ClassTag](
* has completed (therefore the RDD has been materialized and potentially stored in memory).
* doCheckpoint() is called recursively on the parent RDDs.
*/
- private[spark] def doCheckpoint() {
- if (!doCheckpointCalled) {
- doCheckpointCalled = true
- if (checkpointData.isDefined) {
- checkpointData.get.doCheckpoint()
- } else {
- dependencies.foreach(_.rdd.doCheckpoint())
+ private[spark] def doCheckpoint(): Unit = {
+ RDDOperationScope.withScope(sc, "checkpoint", allowNesting = false, ignoreParent = true) {
+ if (!doCheckpointCalled) {
+ doCheckpointCalled = true
+ if (checkpointData.isDefined) {
+ checkpointData.get.doCheckpoint()
+ } else {
+ dependencies.foreach(_.rdd.doCheckpoint())
+ }
}
}
}
diff --git a/core/src/main/scala/org/apache/spark/rdd/RDDOperationScope.scala b/core/src/main/scala/org/apache/spark/rdd/RDDOperationScope.scala
index 537b56b49f866..6b09dfafc889c 100644
--- a/core/src/main/scala/org/apache/spark/rdd/RDDOperationScope.scala
+++ b/core/src/main/scala/org/apache/spark/rdd/RDDOperationScope.scala
@@ -24,7 +24,7 @@ import com.fasterxml.jackson.annotation.JsonInclude.Include
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.module.scala.DefaultScalaModule
-import org.apache.spark.SparkContext
+import org.apache.spark.{Logging, SparkContext}
/**
* A general, named code block representing an operation that instantiates RDDs.
@@ -43,9 +43,8 @@ import org.apache.spark.SparkContext
@JsonPropertyOrder(Array("id", "name", "parent"))
private[spark] class RDDOperationScope(
val name: String,
- val parent: Option[RDDOperationScope] = None) {
-
- val id: Int = RDDOperationScope.nextScopeId()
+ val parent: Option[RDDOperationScope] = None,
+ val id: String = RDDOperationScope.nextScopeId().toString) {
def toJson: String = {
RDDOperationScope.jsonMapper.writeValueAsString(this)
@@ -75,7 +74,7 @@ private[spark] class RDDOperationScope(
* A collection of utility methods to construct a hierarchical representation of RDD scopes.
* An RDD scope tracks the series of operations that created a given RDD.
*/
-private[spark] object RDDOperationScope {
+private[spark] object RDDOperationScope extends Logging {
private val jsonMapper = new ObjectMapper().registerModule(DefaultScalaModule)
private val scopeCounter = new AtomicInteger(0)
@@ -88,30 +87,46 @@ private[spark] object RDDOperationScope {
/**
* Execute the given body such that all RDDs created in this body will have the same scope.
- * The name of the scope will be the name of the method that immediately encloses this one.
+ * The name of the scope will be the first method name in the stack trace that is not the
+ * same as this method's.
*
* Note: Return statements are NOT allowed in body.
*/
private[spark] def withScope[T](
sc: SparkContext,
allowNesting: Boolean = false)(body: => T): T = {
- val callerMethodName = Thread.currentThread.getStackTrace()(3).getMethodName
- withScope[T](sc, callerMethodName, allowNesting)(body)
+ val stackTrace = Thread.currentThread.getStackTrace().tail // ignore "Thread#getStackTrace"
+ val ourMethodName = stackTrace(1).getMethodName // i.e. withScope
+ // Climb upwards to find the first method that's called something different
+ val callerMethodName = stackTrace
+ .find(_.getMethodName != ourMethodName)
+ .map(_.getMethodName)
+ .getOrElse {
+ // Log a warning just in case, but this should almost certainly never happen
+ logWarning("No valid method name for this RDD operation scope!")
+ "N/A"
+ }
+ withScope[T](sc, callerMethodName, allowNesting, ignoreParent = false)(body)
}
/**
* Execute the given body such that all RDDs created in this body will have the same scope.
*
- * If nesting is allowed, this concatenates the previous scope with the new one in a way that
- * signifies the hierarchy. Otherwise, if nesting is not allowed, then any children calls to
- * this method executed in the body will have no effect.
+ * If nesting is allowed, any subsequent calls to this method in the given body will instantiate
+ * child scopes that are nested within our scope. Otherwise, these calls will take no effect.
+ *
+ * Additionally, the caller of this method may optionally ignore the configurations and scopes
+ * set by the higher level caller. In this case, this method will ignore the parent caller's
+ * intention to disallow nesting, and the new scope instantiated will not have a parent. This
+ * is useful for scoping physical operations in Spark SQL, for instance.
*
* Note: Return statements are NOT allowed in body.
*/
private[spark] def withScope[T](
sc: SparkContext,
name: String,
- allowNesting: Boolean = false)(body: => T): T = {
+ allowNesting: Boolean,
+ ignoreParent: Boolean)(body: => T): T = {
// Save the old scope to restore it later
val scopeKey = SparkContext.RDD_SCOPE_KEY
val noOverrideKey = SparkContext.RDD_SCOPE_NO_OVERRIDE_KEY
@@ -119,8 +134,11 @@ private[spark] object RDDOperationScope {
val oldScope = Option(oldScopeJson).map(RDDOperationScope.fromJson)
val oldNoOverride = sc.getLocalProperty(noOverrideKey)
try {
- // Set the scope only if the higher level caller allows us to do so
- if (sc.getLocalProperty(noOverrideKey) == null) {
+ if (ignoreParent) {
+ // Ignore all parent settings and scopes and start afresh with our own root scope
+ sc.setLocalProperty(scopeKey, new RDDOperationScope(name).toJson)
+ } else if (sc.getLocalProperty(noOverrideKey) == null) {
+ // Otherwise, set the scope only if the higher level caller allows us to do so
sc.setLocalProperty(scopeKey, new RDDOperationScope(name, oldScope).toJson)
}
// Optionally disallow the child body to override our scope
diff --git a/core/src/main/scala/org/apache/spark/rpc/akka/AkkaRpcEnv.scala b/core/src/main/scala/org/apache/spark/rpc/akka/AkkaRpcEnv.scala
index ba0d468f111ef..0161962cde073 100644
--- a/core/src/main/scala/org/apache/spark/rpc/akka/AkkaRpcEnv.scala
+++ b/core/src/main/scala/org/apache/spark/rpc/akka/AkkaRpcEnv.scala
@@ -29,9 +29,11 @@ import akka.actor.{ActorSystem, ExtendedActorSystem, Actor, ActorRef, Props, Add
import akka.event.Logging.Error
import akka.pattern.{ask => akkaAsk}
import akka.remote.{AssociationEvent, AssociatedEvent, DisassociatedEvent, AssociationErrorEvent}
+import com.google.common.util.concurrent.MoreExecutors
+
import org.apache.spark.{SparkException, Logging, SparkConf}
import org.apache.spark.rpc._
-import org.apache.spark.util.{ActorLogReceive, AkkaUtils}
+import org.apache.spark.util.{ActorLogReceive, AkkaUtils, ThreadUtils}
/**
* A RpcEnv implementation based on Akka.
@@ -294,8 +296,8 @@ private[akka] class AkkaRpcEndpointRef(
}
override def ask[T: ClassTag](message: Any, timeout: FiniteDuration): Future[T] = {
- import scala.concurrent.ExecutionContext.Implicits.global
actorRef.ask(AkkaMessage(message, true))(timeout).flatMap {
+ // The function will run in the calling thread, so it should be short and never block.
case msg @ AkkaMessage(message, reply) =>
if (reply) {
logError(s"Receive $msg but the sender cannot reply")
@@ -305,7 +307,7 @@ private[akka] class AkkaRpcEndpointRef(
}
case AkkaFailure(e) =>
Future.failed(e)
- }.mapTo[T]
+ }(ThreadUtils.sameThread).mapTo[T]
}
override def toString: String = s"${getClass.getSimpleName}($actorRef)"
diff --git a/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala b/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala
index 0b1d47cff3746..8321037cdc026 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/OutputCommitCoordinator.scala
@@ -38,7 +38,7 @@ private case class AskPermissionToCommitOutput(stage: Int, task: Long, taskAttem
* This class was introduced in SPARK-4879; see that JIRA issue (and the associated pull requests)
* for an extensive design discussion.
*/
-private[spark] class OutputCommitCoordinator(conf: SparkConf) extends Logging {
+private[spark] class OutputCommitCoordinator(conf: SparkConf, isDriver: Boolean) extends Logging {
// Initialized by SparkEnv
var coordinatorRef: Option[RpcEndpointRef] = None
@@ -129,9 +129,11 @@ private[spark] class OutputCommitCoordinator(conf: SparkConf) extends Logging {
}
def stop(): Unit = synchronized {
- coordinatorRef.foreach(_ send StopCoordinator)
- coordinatorRef = None
- authorizedCommittersByStage.clear()
+ if (isDriver) {
+ coordinatorRef.foreach(_ send StopCoordinator)
+ coordinatorRef = None
+ authorizedCommittersByStage.clear()
+ }
}
// Marked private[scheduler] instead of private so this can be mocked in tests
diff --git a/core/src/main/scala/org/apache/spark/scheduler/SchedulerBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/SchedulerBackend.scala
index 646820520ea1b..8801a761afae3 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/SchedulerBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/SchedulerBackend.scala
@@ -49,4 +49,11 @@ private[spark] trait SchedulerBackend {
*/
def applicationAttemptId(): Option[String] = None
+ /**
+ * Get the URLs for the driver logs. These URLs are used to display the links in the UI
+ * Executors tab for the driver.
+ * @return Map containing the log names and their respective URLs
+ */
+ def getDriverLogUrls: Option[Map[String, String]] = None
+
}
diff --git a/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala b/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala
index 169d4fd3a94f0..863d0befbc19e 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/SparkListener.scala
@@ -110,8 +110,13 @@ case class SparkListenerExecutorMetricsUpdate(
extends SparkListenerEvent
@DeveloperApi
-case class SparkListenerApplicationStart(appName: String, appId: Option[String],
- time: Long, sparkUser: String, appAttemptId: Option[String]) extends SparkListenerEvent
+case class SparkListenerApplicationStart(
+ appName: String,
+ appId: Option[String],
+ time: Long,
+ sparkUser: String,
+ appAttemptId: Option[String],
+ driverLogs: Option[Map[String, String]] = None) extends SparkListenerEvent
@DeveloperApi
case class SparkListenerApplicationEnd(time: Long) extends SparkListenerEvent
diff --git a/core/src/main/scala/org/apache/spark/scheduler/TaskResult.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskResult.scala
index 1f114a0207f7b..8b2a742b96988 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/TaskResult.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskResult.scala
@@ -40,6 +40,9 @@ class DirectTaskResult[T](var valueBytes: ByteBuffer, var accumUpdates: Map[Long
var metrics: TaskMetrics)
extends TaskResult[T] with Externalizable {
+ private var valueObjectDeserialized = false
+ private var valueObject: T = _
+
def this() = this(null.asInstanceOf[ByteBuffer], null, null)
override def writeExternal(out: ObjectOutput): Unit = Utils.tryOrIOException {
@@ -72,10 +75,26 @@ class DirectTaskResult[T](var valueBytes: ByteBuffer, var accumUpdates: Map[Long
}
}
metrics = in.readObject().asInstanceOf[TaskMetrics]
+ valueObjectDeserialized = false
}
+ /**
+ * When `value()` is called at the first time, it needs to deserialize `valueObject` from
+ * `valueBytes`. It may cost dozens of seconds for a large instance. So when calling `value` at
+ * the first time, the caller should avoid to block other threads.
+ *
+ * After the first time, `value()` is trivial and just returns the deserialized `valueObject`.
+ */
def value(): T = {
- val resultSer = SparkEnv.get.serializer.newInstance()
- resultSer.deserialize(valueBytes)
+ if (valueObjectDeserialized) {
+ valueObject
+ } else {
+ // This should not run when holding a lock because it may cost dozens of seconds for a large
+ // value.
+ val resultSer = SparkEnv.get.serializer.newInstance()
+ valueObject = resultSer.deserialize(valueBytes)
+ valueObjectDeserialized = true
+ valueObject
+ }
}
}
diff --git a/core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala
index 391827c1d2156..46a6f6537e2ee 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala
@@ -54,6 +54,10 @@ private[spark] class TaskResultGetter(sparkEnv: SparkEnv, scheduler: TaskSchedul
if (!taskSetManager.canFetchMoreResults(serializedData.limit())) {
return
}
+ // deserialize "value" without holding any lock so that it won't block other threads.
+ // We should call it here, so that when it's called again in
+ // "TaskSetManager.handleSuccessfulTask", it does not need to deserialize the value.
+ directResult.value()
(directResult, serializedData.limit())
case IndirectTaskResult(blockId, size) =>
if (!taskSetManager.canFetchMoreResults(size)) {
diff --git a/core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala b/core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala
index 7dc325283d961..c4487d5b37247 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala
@@ -620,6 +620,12 @@ private[spark] class TaskSetManager(
val index = info.index
info.markSuccessful()
removeRunningTask(tid)
+ // This method is called by "TaskSchedulerImpl.handleSuccessfulTask" which holds the
+ // "TaskSchedulerImpl" lock until exiting. To avoid the SPARK-7655 issue, we should not
+ // "deserialize" the value when holding a lock to avoid blocking other threads. So we call
+ // "result.value()" in "TaskResultGetter.enqueueSuccessfulTask" before reaching here.
+ // Note: "result.value()" only deserializes the value when it's called at the first time, so
+ // here "result.value()" just returns the value and won't block other threads.
sched.dagScheduler.taskEnded(
tasks(index), Success, result.value(), result.accumUpdates, info, result.metrics)
if (!successful(index)) {
diff --git a/core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala b/core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala
index 06f0e2881c344..1067a7f1caf4c 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala
@@ -370,16 +370,21 @@ private[spark] class MesosClusterScheduler(
val executorOpts = desc.schedulerProperties.map { case (k, v) => s"-D$k=$v" }.mkString(" ")
envBuilder.addVariables(
Variable.newBuilder().setName("SPARK_EXECUTOR_OPTS").setValue(executorOpts))
- val cmdOptions = generateCmdOption(desc)
+ val cmdOptions = generateCmdOption(desc).mkString(" ")
+ val dockerDefined = desc.schedulerProperties.contains("spark.mesos.executor.docker.image")
val executorUri = desc.schedulerProperties.get("spark.executor.uri")
.orElse(desc.command.environment.get("SPARK_EXECUTOR_URI"))
val appArguments = desc.command.arguments.mkString(" ")
- val cmd = if (executorUri.isDefined) {
+ val (executable, jar) = if (dockerDefined) {
+ // Application jar is automatically downloaded in the mounted sandbox by Mesos,
+ // and the path to the mounted volume is stored in $MESOS_SANDBOX env variable.
+ ("./bin/spark-submit", s"$$MESOS_SANDBOX/${desc.jarUrl.split("/").last}")
+ } else if (executorUri.isDefined) {
builder.addUris(CommandInfo.URI.newBuilder().setValue(executorUri.get).build())
val folderBasename = executorUri.get.split('/').last.split('.').head
val cmdExecutable = s"cd $folderBasename*; $prefixEnv bin/spark-submit"
val cmdJar = s"../${desc.jarUrl.split("/").last}"
- s"$cmdExecutable ${cmdOptions.mkString(" ")} $cmdJar $appArguments"
+ (cmdExecutable, cmdJar)
} else {
val executorSparkHome = desc.schedulerProperties.get("spark.mesos.executor.home")
.orElse(conf.getOption("spark.home"))
@@ -389,9 +394,9 @@ private[spark] class MesosClusterScheduler(
}
val cmdExecutable = new File(executorSparkHome, "./bin/spark-submit").getCanonicalPath
val cmdJar = desc.jarUrl.split("/").last
- s"$cmdExecutable ${cmdOptions.mkString(" ")} $cmdJar $appArguments"
+ (cmdExecutable, cmdJar)
}
- builder.setValue(cmd)
+ builder.setValue(s"$executable $cmdOptions $jar $appArguments")
builder.setEnvironment(envBuilder.build())
builder.build()
}
@@ -458,9 +463,20 @@ private[spark] class MesosClusterScheduler(
.setCommand(commandInfo)
.addResources(cpuResource)
.addResources(memResource)
- .build()
+ submission.schedulerProperties.get("spark.mesos.executor.docker.image").foreach { image =>
+ val container = taskInfo.getContainerBuilder()
+ val volumes = submission.schedulerProperties
+ .get("spark.mesos.executor.docker.volumes")
+ .map(MesosSchedulerBackendUtil.parseVolumesSpec)
+ val portmaps = submission.schedulerProperties
+ .get("spark.mesos.executor.docker.portmaps")
+ .map(MesosSchedulerBackendUtil.parsePortMappingsSpec)
+ MesosSchedulerBackendUtil.addDockerInfo(
+ container, image, volumes = volumes, portmaps = portmaps)
+ taskInfo.setContainer(container.build())
+ }
val queuedTasks = tasks.getOrElseUpdate(offer.offer.getId, new ArrayBuffer[TaskInfo])
- queuedTasks += taskInfo
+ queuedTasks += taskInfo.build()
logTrace(s"Using offer ${offer.offer.getId.getValue} to launch driver " +
submission.submissionId)
val newState = new MesosClusterSubmissionState(submission, taskId, offer.offer.getSlaveId,
diff --git a/core/src/main/scala/org/apache/spark/scheduler/local/LocalBackend.scala b/core/src/main/scala/org/apache/spark/scheduler/local/LocalBackend.scala
index e64d06c4d3cfc..3078a1b10be8b 100644
--- a/core/src/main/scala/org/apache/spark/scheduler/local/LocalBackend.scala
+++ b/core/src/main/scala/org/apache/spark/scheduler/local/LocalBackend.scala
@@ -18,14 +18,12 @@
package org.apache.spark.scheduler.local
import java.nio.ByteBuffer
-import java.util.concurrent.TimeUnit
import org.apache.spark.{Logging, SparkConf, SparkContext, SparkEnv, TaskState}
import org.apache.spark.TaskState.TaskState
import org.apache.spark.executor.{Executor, ExecutorBackend}
-import org.apache.spark.rpc.{ThreadSafeRpcEndpoint, RpcCallContext, RpcEndpointRef, RpcEnv}
+import org.apache.spark.rpc.{RpcCallContext, RpcEndpointRef, RpcEnv, ThreadSafeRpcEndpoint}
import org.apache.spark.scheduler.{SchedulerBackend, TaskSchedulerImpl, WorkerOffer}
-import org.apache.spark.util.{ThreadUtils, Utils}
private case class ReviveOffers()
@@ -47,9 +45,6 @@ private[spark] class LocalEndpoint(
private val totalCores: Int)
extends ThreadSafeRpcEndpoint with Logging {
- private val reviveThread =
- ThreadUtils.newDaemonSingleThreadScheduledExecutor("local-revive-thread")
-
private var freeCores = totalCores
private val localExecutorId = SparkContext.DRIVER_IDENTIFIER
@@ -79,27 +74,13 @@ private[spark] class LocalEndpoint(
context.reply(true)
}
-
def reviveOffers() {
val offers = Seq(new WorkerOffer(localExecutorId, localExecutorHostname, freeCores))
- val tasks = scheduler.resourceOffers(offers).flatten
- for (task <- tasks) {
+ for (task <- scheduler.resourceOffers(offers).flatten) {
freeCores -= scheduler.CPUS_PER_TASK
executor.launchTask(executorBackend, taskId = task.taskId, attemptNumber = task.attemptNumber,
task.name, task.serializedTask)
}
- if (tasks.isEmpty && scheduler.activeTaskSets.nonEmpty) {
- // Try to reviveOffer after 1 second, because scheduler may wait for locality timeout
- reviveThread.schedule(new Runnable {
- override def run(): Unit = Utils.tryLogNonFatalError {
- Option(self).foreach(_.send(ReviveOffers))
- }
- }, 1000, TimeUnit.MILLISECONDS)
- }
- }
-
- override def onStop(): Unit = {
- reviveThread.shutdownNow()
}
}
diff --git a/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala b/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala
index dfbde7c8a1b0d..698d1384d580d 100644
--- a/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/JavaSerializer.scala
@@ -121,6 +121,8 @@ class JavaSerializer(conf: SparkConf) extends Serializer with Externalizable {
private var counterReset = conf.getInt("spark.serializer.objectStreamReset", 100)
private var extraDebugInfo = conf.getBoolean("spark.serializer.extraDebugInfo", true)
+ protected def this() = this(new SparkConf()) // For deserialization only
+
override def newInstance(): SerializerInstance = {
val classLoader = defaultClassLoader.getOrElse(Thread.currentThread.getContextClassLoader)
new JavaSerializerInstance(counterReset, extraDebugInfo, classLoader)
diff --git a/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala b/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala
index f9f78852f032b..64ba27f34d2f1 100644
--- a/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala
@@ -32,6 +32,7 @@ import org.apache.spark._
import org.apache.spark.api.python.PythonBroadcast
import org.apache.spark.broadcast.HttpBroadcast
import org.apache.spark.network.nio.{GetBlock, GotBlock, PutBlock}
+import org.apache.spark.network.util.ByteUnit
import org.apache.spark.scheduler.{CompressedMapStatus, HighlyCompressedMapStatus}
import org.apache.spark.storage._
import org.apache.spark.util.BoundedPriorityQueue
@@ -51,18 +52,18 @@ class KryoSerializer(conf: SparkConf)
private val bufferSizeKb = conf.getSizeAsKb("spark.kryoserializer.buffer", "64k")
- if (bufferSizeKb >= 2048) {
+ if (bufferSizeKb >= ByteUnit.GiB.toKiB(2)) {
throw new IllegalArgumentException("spark.kryoserializer.buffer must be less than " +
- s"2048 mb, got: + $bufferSizeKb mb.")
+ s"2048 mb, got: + ${ByteUnit.KiB.toMiB(bufferSizeKb)} mb.")
}
- private val bufferSize = (bufferSizeKb * 1024).toInt
+ private val bufferSize = ByteUnit.KiB.toBytes(bufferSizeKb).toInt
val maxBufferSizeMb = conf.getSizeAsMb("spark.kryoserializer.buffer.max", "64m").toInt
- if (maxBufferSizeMb >= 2048) {
+ if (maxBufferSizeMb >= ByteUnit.GiB.toMiB(2)) {
throw new IllegalArgumentException("spark.kryoserializer.buffer.max must be less than " +
s"2048 mb, got: + $maxBufferSizeMb mb.")
}
- private val maxBufferSize = maxBufferSizeMb * 1024 * 1024
+ private val maxBufferSize = ByteUnit.MiB.toBytes(maxBufferSizeMb).toInt
private val referenceTracking = conf.getBoolean("spark.kryo.referenceTracking", true)
private val registrationRequired = conf.getBoolean("spark.kryo.registrationRequired", false)
diff --git a/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala b/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala
index 5abfa467c0ec8..bb5db545531d2 100644
--- a/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala
+++ b/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala
@@ -27,7 +27,7 @@ import scala.util.control.NonFatal
import org.apache.spark.Logging
-private[serializer] object SerializationDebugger extends Logging {
+private[spark] object SerializationDebugger extends Logging {
/**
* Improve the given NotSerializableException with the serialization path leading from the given
diff --git a/core/src/main/scala/org/apache/spark/shuffle/FileShuffleBlockManager.scala b/core/src/main/scala/org/apache/spark/shuffle/FileShuffleBlockResolver.scala
similarity index 97%
rename from core/src/main/scala/org/apache/spark/shuffle/FileShuffleBlockManager.scala
rename to core/src/main/scala/org/apache/spark/shuffle/FileShuffleBlockResolver.scala
index e9b4e2b955dc8..6c3b3080d2605 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/FileShuffleBlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/FileShuffleBlockResolver.scala
@@ -18,7 +18,6 @@
package org.apache.spark.shuffle
import java.io.File
-import java.nio.ByteBuffer
import java.util.concurrent.ConcurrentLinkedQueue
import java.util.concurrent.atomic.AtomicInteger
@@ -29,7 +28,7 @@ import org.apache.spark.executor.ShuffleWriteMetrics
import org.apache.spark.network.buffer.{FileSegmentManagedBuffer, ManagedBuffer}
import org.apache.spark.network.netty.SparkTransportConf
import org.apache.spark.serializer.Serializer
-import org.apache.spark.shuffle.FileShuffleBlockManager.ShuffleFileGroup
+import org.apache.spark.shuffle.FileShuffleBlockResolver.ShuffleFileGroup
import org.apache.spark.storage._
import org.apache.spark.util.{MetadataCleaner, MetadataCleanerType, TimeStampedHashMap}
import org.apache.spark.util.collection.{PrimitiveKeyOpenHashMap, PrimitiveVector}
@@ -64,9 +63,8 @@ private[spark] trait ShuffleWriterGroup {
* files within a ShuffleFileGroups associated with the block's reducer.
*/
// Note: Changes to the format in this file should be kept in sync with
-// org.apache.spark.network.shuffle.StandaloneShuffleBlockManager#getHashBasedShuffleBlockData().
-private[spark]
-class FileShuffleBlockManager(conf: SparkConf)
+// org.apache.spark.network.shuffle.ExternalShuffleBlockResolver#getHashBasedShuffleBlockData().
+private[spark] class FileShuffleBlockResolver(conf: SparkConf)
extends ShuffleBlockResolver with Logging {
private val transportConf = SparkTransportConf.fromSparkConf(conf)
@@ -78,7 +76,7 @@ class FileShuffleBlockManager(conf: SparkConf)
private val consolidateShuffleFiles =
conf.getBoolean("spark.shuffle.consolidateFiles", false)
- // Use getSizeAsKb (not bytes) to maintain backwards compatibility of on units are provided
+ // Use getSizeAsKb (not bytes) to maintain backwards compatibility if no units are provided
private val bufferSize = conf.getSizeAsKb("spark.shuffle.file.buffer", "32k").toInt * 1024
/**
@@ -242,8 +240,7 @@ class FileShuffleBlockManager(conf: SparkConf)
}
}
-private[spark]
-object FileShuffleBlockManager {
+private[spark] object FileShuffleBlockResolver {
/**
* A group of shuffle files, one per reducer.
* A particular mapper will be assigned a single ShuffleFileGroup to write its output to.
diff --git a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockManager.scala b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
similarity index 93%
rename from core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockManager.scala
rename to core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
index a1741e2875c16..d9c63b6e7bbb9 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/IndexShuffleBlockResolver.scala
@@ -18,7 +18,6 @@
package org.apache.spark.shuffle
import java.io._
-import java.nio.ByteBuffer
import com.google.common.io.ByteStreams
@@ -28,7 +27,7 @@ import org.apache.spark.network.netty.SparkTransportConf
import org.apache.spark.storage._
import org.apache.spark.util.Utils
-import IndexShuffleBlockManager.NOOP_REDUCE_ID
+import IndexShuffleBlockResolver.NOOP_REDUCE_ID
/**
* Create and maintain the shuffle blocks' mapping between logic block and physical file location.
@@ -40,9 +39,8 @@ import IndexShuffleBlockManager.NOOP_REDUCE_ID
*
*/
// Note: Changes to the format in this file should be kept in sync with
-// org.apache.spark.network.shuffle.StandaloneShuffleBlockManager#getSortBasedShuffleBlockData().
-private[spark]
-class IndexShuffleBlockManager(conf: SparkConf) extends ShuffleBlockResolver {
+// org.apache.spark.network.shuffle.ExternalShuffleBlockResolver#getSortBasedShuffleBlockData().
+private[spark] class IndexShuffleBlockResolver(conf: SparkConf) extends ShuffleBlockResolver {
private lazy val blockManager = SparkEnv.get.blockManager
@@ -115,7 +113,7 @@ class IndexShuffleBlockManager(conf: SparkConf) extends ShuffleBlockResolver {
override def stop(): Unit = {}
}
-private[spark] object IndexShuffleBlockManager {
+private[spark] object IndexShuffleBlockResolver {
// No-op reduce ID used in interactions with disk store and BlockObjectWriter.
// The disk store currently expects puts to relate to a (map, reduce) pair, but in the sort
// shuffle outputs for several reduces are glommed into a single file.
diff --git a/core/src/main/scala/org/apache/spark/shuffle/ShuffleWriter.scala b/core/src/main/scala/org/apache/spark/shuffle/ShuffleWriter.scala
index f6e6fe5defe09..4cc4ef5f1886e 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/ShuffleWriter.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/ShuffleWriter.scala
@@ -17,14 +17,17 @@
package org.apache.spark.shuffle
+import java.io.IOException
+
import org.apache.spark.scheduler.MapStatus
/**
* Obtained inside a map task to write out records to the shuffle system.
*/
-private[spark] trait ShuffleWriter[K, V] {
+private[spark] abstract class ShuffleWriter[K, V] {
/** Write a sequence of records to this task's output */
- def write(records: Iterator[_ <: Product2[K, V]]): Unit
+ @throws[IOException]
+ def write(records: Iterator[Product2[K, V]]): Unit
/** Close this writer, passing along whether the map completed */
def stop(success: Boolean): Option[MapStatus]
diff --git a/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleManager.scala
index 2a7df8dd5bd83..c089088f409dd 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleManager.scala
@@ -26,7 +26,7 @@ import org.apache.spark.shuffle._
*/
private[spark] class HashShuffleManager(conf: SparkConf) extends ShuffleManager {
- private val fileShuffleBlockManager = new FileShuffleBlockManager(conf)
+ private val fileShuffleBlockResolver = new FileShuffleBlockResolver(conf)
/* Register a shuffle with the manager and obtain a handle for it to pass to tasks. */
override def registerShuffle[K, V, C](
@@ -61,8 +61,8 @@ private[spark] class HashShuffleManager(conf: SparkConf) extends ShuffleManager
shuffleBlockResolver.removeShuffle(shuffleId)
}
- override def shuffleBlockResolver: FileShuffleBlockManager = {
- fileShuffleBlockManager
+ override def shuffleBlockResolver: FileShuffleBlockResolver = {
+ fileShuffleBlockResolver
}
/** Shut down this ShuffleManager. */
diff --git a/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleWriter.scala b/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleWriter.scala
index cd27c9e07a3cd..eb87cee15903c 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleWriter.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleWriter.scala
@@ -25,7 +25,7 @@ import org.apache.spark.shuffle._
import org.apache.spark.storage.BlockObjectWriter
private[spark] class HashShuffleWriter[K, V](
- shuffleBlockManager: FileShuffleBlockManager,
+ shuffleBlockResolver: FileShuffleBlockResolver,
handle: BaseShuffleHandle[K, V, _],
mapId: Int,
context: TaskContext)
@@ -45,11 +45,11 @@ private[spark] class HashShuffleWriter[K, V](
private val blockManager = SparkEnv.get.blockManager
private val ser = Serializer.getSerializer(dep.serializer.getOrElse(null))
- private val shuffle = shuffleBlockManager.forMapTask(dep.shuffleId, mapId, numOutputSplits, ser,
+ private val shuffle = shuffleBlockResolver.forMapTask(dep.shuffleId, mapId, numOutputSplits, ser,
writeMetrics)
/** Write a bunch of records to this task's output */
- override def write(records: Iterator[_ <: Product2[K, V]]): Unit = {
+ override def write(records: Iterator[Product2[K, V]]): Unit = {
val iter = if (dep.aggregator.isDefined) {
if (dep.mapSideCombine) {
dep.aggregator.get.combineValuesByKey(records, context)
diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
index 0497036192154..d7fab351ca3b8 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleManager.scala
@@ -25,7 +25,7 @@ import org.apache.spark.shuffle.hash.HashShuffleReader
private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager {
- private val indexShuffleBlockManager = new IndexShuffleBlockManager(conf)
+ private val indexShuffleBlockResolver = new IndexShuffleBlockResolver(conf)
private val shuffleMapNumber = new ConcurrentHashMap[Int, Int]()
/**
@@ -72,8 +72,8 @@ private[spark] class SortShuffleManager(conf: SparkConf) extends ShuffleManager
true
}
- override def shuffleBlockResolver: IndexShuffleBlockManager = {
- indexShuffleBlockManager
+ override val shuffleBlockResolver: IndexShuffleBlockResolver = {
+ indexShuffleBlockResolver
}
/** Shut down this ShuffleManager. */
diff --git a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala
index a066435df6fb0..c9dd6bfc4c219 100644
--- a/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala
+++ b/core/src/main/scala/org/apache/spark/shuffle/sort/SortShuffleWriter.scala
@@ -20,12 +20,12 @@ package org.apache.spark.shuffle.sort
import org.apache.spark.{MapOutputTracker, SparkEnv, Logging, TaskContext}
import org.apache.spark.executor.ShuffleWriteMetrics
import org.apache.spark.scheduler.MapStatus
-import org.apache.spark.shuffle.{IndexShuffleBlockManager, ShuffleWriter, BaseShuffleHandle}
+import org.apache.spark.shuffle.{IndexShuffleBlockResolver, ShuffleWriter, BaseShuffleHandle}
import org.apache.spark.storage.ShuffleBlockId
import org.apache.spark.util.collection.ExternalSorter
private[spark] class SortShuffleWriter[K, V, C](
- shuffleBlockManager: IndexShuffleBlockManager,
+ shuffleBlockResolver: IndexShuffleBlockResolver,
handle: BaseShuffleHandle[K, V, C],
mapId: Int,
context: TaskContext)
@@ -48,7 +48,7 @@ private[spark] class SortShuffleWriter[K, V, C](
context.taskMetrics.shuffleWriteMetrics = Some(writeMetrics)
/** Write a bunch of records to this task's output */
- override def write(records: Iterator[_ <: Product2[K, V]]): Unit = {
+ override def write(records: Iterator[Product2[K, V]]): Unit = {
if (dep.mapSideCombine) {
require(dep.aggregator.isDefined, "Map-side combine without Aggregator specified!")
sorter = new ExternalSorter[K, V, C](
@@ -65,10 +65,10 @@ private[spark] class SortShuffleWriter[K, V, C](
// Don't bother including the time to open the merged output file in the shuffle write time,
// because it just opens a single file, so is typically too fast to measure accurately
// (see SPARK-3570).
- val outputFile = shuffleBlockManager.getDataFile(dep.shuffleId, mapId)
- val blockId = ShuffleBlockId(dep.shuffleId, mapId, IndexShuffleBlockManager.NOOP_REDUCE_ID)
+ val outputFile = shuffleBlockResolver.getDataFile(dep.shuffleId, mapId)
+ val blockId = ShuffleBlockId(dep.shuffleId, mapId, IndexShuffleBlockResolver.NOOP_REDUCE_ID)
val partitionLengths = sorter.writePartitionedFile(blockId, context, outputFile)
- shuffleBlockManager.writeIndexFile(dep.shuffleId, mapId, partitionLengths)
+ shuffleBlockResolver.writeIndexFile(dep.shuffleId, mapId, partitionLengths)
mapStatus = MapStatus(blockManager.shuffleServerId, partitionLengths)
}
@@ -84,7 +84,7 @@ private[spark] class SortShuffleWriter[K, V, C](
return Option(mapStatus)
} else {
// The map task failed, so delete our output data.
- shuffleBlockManager.removeDataByMap(dep.shuffleId, mapId)
+ shuffleBlockResolver.removeDataByMap(dep.shuffleId, mapId)
return None
}
} finally {
diff --git a/core/src/main/scala/org/apache/spark/shuffle/unsafe/UnsafeShuffleManager.scala b/core/src/main/scala/org/apache/spark/shuffle/unsafe/UnsafeShuffleManager.scala
new file mode 100644
index 0000000000000..f2bfef376d3ca
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/shuffle/unsafe/UnsafeShuffleManager.scala
@@ -0,0 +1,205 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.shuffle.unsafe
+
+import java.util.Collections
+import java.util.concurrent.ConcurrentHashMap
+
+import org.apache.spark._
+import org.apache.spark.serializer.Serializer
+import org.apache.spark.shuffle._
+import org.apache.spark.shuffle.sort.SortShuffleManager
+
+/**
+ * Subclass of [[BaseShuffleHandle]], used to identify when we've chosen to use the new shuffle.
+ */
+private[spark] class UnsafeShuffleHandle[K, V](
+ shuffleId: Int,
+ numMaps: Int,
+ dependency: ShuffleDependency[K, V, V])
+ extends BaseShuffleHandle(shuffleId, numMaps, dependency) {
+}
+
+private[spark] object UnsafeShuffleManager extends Logging {
+
+ /**
+ * The maximum number of shuffle output partitions that UnsafeShuffleManager supports.
+ */
+ val MAX_SHUFFLE_OUTPUT_PARTITIONS = PackedRecordPointer.MAXIMUM_PARTITION_ID + 1
+
+ /**
+ * Helper method for determining whether a shuffle should use the optimized unsafe shuffle
+ * path or whether it should fall back to the original sort-based shuffle.
+ */
+ def canUseUnsafeShuffle[K, V, C](dependency: ShuffleDependency[K, V, C]): Boolean = {
+ val shufId = dependency.shuffleId
+ val serializer = Serializer.getSerializer(dependency.serializer)
+ if (!serializer.supportsRelocationOfSerializedObjects) {
+ log.debug(s"Can't use UnsafeShuffle for shuffle $shufId because the serializer, " +
+ s"${serializer.getClass.getName}, does not support object relocation")
+ false
+ } else if (dependency.aggregator.isDefined) {
+ log.debug(s"Can't use UnsafeShuffle for shuffle $shufId because an aggregator is defined")
+ false
+ } else if (dependency.keyOrdering.isDefined) {
+ log.debug(s"Can't use UnsafeShuffle for shuffle $shufId because a key ordering is defined")
+ false
+ } else if (dependency.partitioner.numPartitions > MAX_SHUFFLE_OUTPUT_PARTITIONS) {
+ log.debug(s"Can't use UnsafeShuffle for shuffle $shufId because it has more than " +
+ s"$MAX_SHUFFLE_OUTPUT_PARTITIONS partitions")
+ false
+ } else {
+ log.debug(s"Can use UnsafeShuffle for shuffle $shufId")
+ true
+ }
+ }
+}
+
+/**
+ * A shuffle implementation that uses directly-managed memory to implement several performance
+ * optimizations for certain types of shuffles. In cases where the new performance optimizations
+ * cannot be applied, this shuffle manager delegates to [[SortShuffleManager]] to handle those
+ * shuffles.
+ *
+ * UnsafeShuffleManager's optimizations will apply when _all_ of the following conditions hold:
+ *
+ * - The shuffle dependency specifies no aggregation or output ordering.
+ * - The shuffle serializer supports relocation of serialized values (this is currently supported
+ * by KryoSerializer and Spark SQL's custom serializers).
+ * - The shuffle produces fewer than 16777216 output partitions.
+ * - No individual record is larger than 128 MB when serialized.
+ *
+ * In addition, extra spill-merging optimizations are automatically applied when the shuffle
+ * compression codec supports concatenation of serialized streams. This is currently supported by
+ * Spark's LZF serializer.
+ *
+ * At a high-level, UnsafeShuffleManager's design is similar to Spark's existing SortShuffleManager.
+ * In sort-based shuffle, incoming records are sorted according to their target partition ids, then
+ * written to a single map output file. Reducers fetch contiguous regions of this file in order to
+ * read their portion of the map output. In cases where the map output data is too large to fit in
+ * memory, sorted subsets of the output can are spilled to disk and those on-disk files are merged
+ * to produce the final output file.
+ *
+ * UnsafeShuffleManager optimizes this process in several ways:
+ *
+ * - Its sort operates on serialized binary data rather than Java objects, which reduces memory
+ * consumption and GC overheads. This optimization requires the record serializer to have certain
+ * properties to allow serialized records to be re-ordered without requiring deserialization.
+ * See SPARK-4550, where this optimization was first proposed and implemented, for more details.
+ *
+ * - It uses a specialized cache-efficient sorter ([[UnsafeShuffleExternalSorter]]) that sorts
+ * arrays of compressed record pointers and partition ids. By using only 8 bytes of space per
+ * record in the sorting array, this fits more of the array into cache.
+ *
+ * - The spill merging procedure operates on blocks of serialized records that belong to the same
+ * partition and does not need to deserialize records during the merge.
+ *
+ * - When the spill compression codec supports concatenation of compressed data, the spill merge
+ * simply concatenates the serialized and compressed spill partitions to produce the final output
+ * partition. This allows efficient data copying methods, like NIO's `transferTo`, to be used
+ * and avoids the need to allocate decompression or copying buffers during the merge.
+ *
+ * For more details on UnsafeShuffleManager's design, see SPARK-7081.
+ */
+private[spark] class UnsafeShuffleManager(conf: SparkConf) extends ShuffleManager with Logging {
+
+ if (!conf.getBoolean("spark.shuffle.spill", true)) {
+ logWarning(
+ "spark.shuffle.spill was set to false, but this is ignored by the tungsten-sort shuffle " +
+ "manager; its optimized shuffles will continue to spill to disk when necessary.")
+ }
+
+ private[this] val sortShuffleManager: SortShuffleManager = new SortShuffleManager(conf)
+ private[this] val shufflesThatFellBackToSortShuffle =
+ Collections.newSetFromMap(new ConcurrentHashMap[Int, java.lang.Boolean]())
+ private[this] val numMapsForShufflesThatUsedNewPath = new ConcurrentHashMap[Int, Int]()
+
+ /**
+ * Register a shuffle with the manager and obtain a handle for it to pass to tasks.
+ */
+ override def registerShuffle[K, V, C](
+ shuffleId: Int,
+ numMaps: Int,
+ dependency: ShuffleDependency[K, V, C]): ShuffleHandle = {
+ if (UnsafeShuffleManager.canUseUnsafeShuffle(dependency)) {
+ new UnsafeShuffleHandle[K, V](
+ shuffleId, numMaps, dependency.asInstanceOf[ShuffleDependency[K, V, V]])
+ } else {
+ new BaseShuffleHandle(shuffleId, numMaps, dependency)
+ }
+ }
+
+ /**
+ * Get a reader for a range of reduce partitions (startPartition to endPartition-1, inclusive).
+ * Called on executors by reduce tasks.
+ */
+ override def getReader[K, C](
+ handle: ShuffleHandle,
+ startPartition: Int,
+ endPartition: Int,
+ context: TaskContext): ShuffleReader[K, C] = {
+ sortShuffleManager.getReader(handle, startPartition, endPartition, context)
+ }
+
+ /** Get a writer for a given partition. Called on executors by map tasks. */
+ override def getWriter[K, V](
+ handle: ShuffleHandle,
+ mapId: Int,
+ context: TaskContext): ShuffleWriter[K, V] = {
+ handle match {
+ case unsafeShuffleHandle: UnsafeShuffleHandle[K, V] =>
+ numMapsForShufflesThatUsedNewPath.putIfAbsent(handle.shuffleId, unsafeShuffleHandle.numMaps)
+ val env = SparkEnv.get
+ new UnsafeShuffleWriter(
+ env.blockManager,
+ shuffleBlockResolver.asInstanceOf[IndexShuffleBlockResolver],
+ context.taskMemoryManager(),
+ env.shuffleMemoryManager,
+ unsafeShuffleHandle,
+ mapId,
+ context,
+ env.conf)
+ case other =>
+ shufflesThatFellBackToSortShuffle.add(handle.shuffleId)
+ sortShuffleManager.getWriter(handle, mapId, context)
+ }
+ }
+
+ /** Remove a shuffle's metadata from the ShuffleManager. */
+ override def unregisterShuffle(shuffleId: Int): Boolean = {
+ if (shufflesThatFellBackToSortShuffle.remove(shuffleId)) {
+ sortShuffleManager.unregisterShuffle(shuffleId)
+ } else {
+ Option(numMapsForShufflesThatUsedNewPath.remove(shuffleId)).foreach { numMaps =>
+ (0 until numMaps).foreach { mapId =>
+ shuffleBlockResolver.removeDataByMap(shuffleId, mapId)
+ }
+ }
+ true
+ }
+ }
+
+ override val shuffleBlockResolver: IndexShuffleBlockResolver = {
+ sortShuffleManager.shuffleBlockResolver
+ }
+
+ /** Shut down this ShuffleManager. */
+ override def stop(): Unit = {
+ sortShuffleManager.stop()
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/AllJobsResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/AllJobsResource.scala
new file mode 100644
index 0000000000000..5783df5d8220c
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/AllJobsResource.scala
@@ -0,0 +1,98 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import java.util.{Arrays, Date, List => JList}
+import javax.ws.rs._
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.JobExecutionStatus
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.ui.jobs.JobProgressListener
+import org.apache.spark.ui.jobs.UIData.JobUIData
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class AllJobsResource(ui: SparkUI) {
+
+ @GET
+ def jobsList(@QueryParam("status") statuses: JList[JobExecutionStatus]): Seq[JobData] = {
+ val statusToJobs: Seq[(JobExecutionStatus, Seq[JobUIData])] =
+ AllJobsResource.getStatusToJobs(ui)
+ val adjStatuses: JList[JobExecutionStatus] = {
+ if (statuses.isEmpty) {
+ Arrays.asList(JobExecutionStatus.values(): _*)
+ } else {
+ statuses
+ }
+ }
+ val jobInfos = for {
+ (status, jobs) <- statusToJobs
+ job <- jobs if adjStatuses.contains(status)
+ } yield {
+ AllJobsResource.convertJobData(job, ui.jobProgressListener, false)
+ }
+ jobInfos.sortBy{- _.jobId}
+ }
+
+}
+
+private[v1] object AllJobsResource {
+
+ def getStatusToJobs(ui: SparkUI): Seq[(JobExecutionStatus, Seq[JobUIData])] = {
+ val statusToJobs = ui.jobProgressListener.synchronized {
+ Seq(
+ JobExecutionStatus.RUNNING -> ui.jobProgressListener.activeJobs.values.toSeq,
+ JobExecutionStatus.SUCCEEDED -> ui.jobProgressListener.completedJobs.toSeq,
+ JobExecutionStatus.FAILED -> ui.jobProgressListener.failedJobs.reverse.toSeq
+ )
+ }
+ statusToJobs
+ }
+
+ def convertJobData(
+ job: JobUIData,
+ listener: JobProgressListener,
+ includeStageDetails: Boolean): JobData = {
+ listener.synchronized {
+ val lastStageInfo = listener.stageIdToInfo.get(job.stageIds.max)
+ val lastStageData = lastStageInfo.flatMap { s =>
+ listener.stageIdToData.get((s.stageId, s.attemptId))
+ }
+ val lastStageName = lastStageInfo.map { _.name }.getOrElse("(Unknown Stage Name)")
+ val lastStageDescription = lastStageData.flatMap { _.description }
+ new JobData(
+ jobId = job.jobId,
+ name = lastStageName,
+ description = lastStageDescription,
+ submissionTime = job.submissionTime.map{new Date(_)},
+ completionTime = job.completionTime.map{new Date(_)},
+ stageIds = job.stageIds,
+ jobGroup = job.jobGroup,
+ status = job.status,
+ numTasks = job.numTasks,
+ numActiveTasks = job.numActiveTasks,
+ numCompletedTasks = job.numCompletedTasks,
+ numSkippedTasks = job.numCompletedTasks,
+ numFailedTasks = job.numFailedTasks,
+ numActiveStages = job.numActiveStages,
+ numCompletedStages = job.completedStageIndices.size,
+ numSkippedStages = job.numSkippedStages,
+ numFailedStages = job.numFailedStages
+ )
+ }
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/AllRDDResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/AllRDDResource.scala
new file mode 100644
index 0000000000000..645ede26a0879
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/AllRDDResource.scala
@@ -0,0 +1,104 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs.{GET, Produces}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.storage.{RDDInfo, StorageStatus, StorageUtils}
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.ui.storage.StorageListener
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class AllRDDResource(ui: SparkUI) {
+
+ @GET
+ def rddList(): Seq[RDDStorageInfo] = {
+ val storageStatusList = ui.storageListener.storageStatusList
+ val rddInfos = ui.storageListener.rddInfoList
+ rddInfos.map{rddInfo =>
+ AllRDDResource.getRDDStorageInfo(rddInfo.id, rddInfo, storageStatusList,
+ includeDetails = false)
+ }
+ }
+
+}
+
+private[spark] object AllRDDResource {
+
+ def getRDDStorageInfo(
+ rddId: Int,
+ listener: StorageListener,
+ includeDetails: Boolean): Option[RDDStorageInfo] = {
+ val storageStatusList = listener.storageStatusList
+ listener.rddInfoList.find { _.id == rddId }.map { rddInfo =>
+ getRDDStorageInfo(rddId, rddInfo, storageStatusList, includeDetails)
+ }
+ }
+
+ def getRDDStorageInfo(
+ rddId: Int,
+ rddInfo: RDDInfo,
+ storageStatusList: Seq[StorageStatus],
+ includeDetails: Boolean): RDDStorageInfo = {
+ val workers = storageStatusList.map { (rddId, _) }
+ val blockLocations = StorageUtils.getRddBlockLocations(rddId, storageStatusList)
+ val blocks = storageStatusList
+ .flatMap { _.rddBlocksById(rddId) }
+ .sortWith { _._1.name < _._1.name }
+ .map { case (blockId, status) =>
+ (blockId, status, blockLocations.get(blockId).getOrElse(Seq[String]("Unknown")))
+ }
+
+ val dataDistribution = if (includeDetails) {
+ Some(storageStatusList.map { status =>
+ new RDDDataDistribution(
+ address = status.blockManagerId.hostPort,
+ memoryUsed = status.memUsedByRdd(rddId),
+ memoryRemaining = status.memRemaining,
+ diskUsed = status.diskUsedByRdd(rddId)
+ ) } )
+ } else {
+ None
+ }
+ val partitions = if (includeDetails) {
+ Some(blocks.map { case (id, block, locations) =>
+ new RDDPartitionInfo(
+ blockName = id.name,
+ storageLevel = block.storageLevel.description,
+ memoryUsed = block.memSize,
+ diskUsed = block.diskSize,
+ executors = locations
+ )
+ } )
+ } else {
+ None
+ }
+
+ new RDDStorageInfo(
+ id = rddId,
+ name = rddInfo.name,
+ numPartitions = rddInfo.numPartitions,
+ numCachedPartitions = rddInfo.numCachedPartitions,
+ storageLevel = rddInfo.storageLevel.description,
+ memoryUsed = rddInfo.memSize,
+ diskUsed = rddInfo.diskSize,
+ dataDistribution = dataDistribution,
+ partitions = partitions
+ )
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/AllStagesResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/AllStagesResource.scala
new file mode 100644
index 0000000000000..50608588f09ae
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/AllStagesResource.scala
@@ -0,0 +1,309 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import java.util.{Arrays, Date, List => JList}
+import javax.ws.rs.{GET, PathParam, Produces, QueryParam}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.executor.{InputMetrics => InternalInputMetrics, OutputMetrics => InternalOutputMetrics, ShuffleReadMetrics => InternalShuffleReadMetrics, ShuffleWriteMetrics => InternalShuffleWriteMetrics, TaskMetrics => InternalTaskMetrics}
+import org.apache.spark.scheduler.{AccumulableInfo => InternalAccumulableInfo, StageInfo}
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.ui.jobs.UIData.{StageUIData, TaskUIData}
+import org.apache.spark.util.Distribution
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class AllStagesResource(ui: SparkUI) {
+
+ @GET
+ def stageList(@QueryParam("status") statuses: JList[StageStatus]): Seq[StageData] = {
+ val listener = ui.jobProgressListener
+ val stageAndStatus = AllStagesResource.stagesAndStatus(ui)
+ val adjStatuses = {
+ if (statuses.isEmpty()) {
+ Arrays.asList(StageStatus.values(): _*)
+ } else {
+ statuses
+ }
+ }
+ for {
+ (status, stageList) <- stageAndStatus
+ stageInfo: StageInfo <- stageList if adjStatuses.contains(status)
+ stageUiData: StageUIData <- listener.synchronized {
+ listener.stageIdToData.get((stageInfo.stageId, stageInfo.attemptId))
+ }
+ } yield {
+ AllStagesResource.stageUiToStageData(status, stageInfo, stageUiData, includeDetails = false)
+ }
+ }
+}
+
+private[v1] object AllStagesResource {
+ def stageUiToStageData(
+ status: StageStatus,
+ stageInfo: StageInfo,
+ stageUiData: StageUIData,
+ includeDetails: Boolean): StageData = {
+
+ val taskData = if (includeDetails) {
+ Some(stageUiData.taskData.map { case (k, v) => k -> convertTaskData(v) } )
+ } else {
+ None
+ }
+ val executorSummary = if (includeDetails) {
+ Some(stageUiData.executorSummary.map { case (k, summary) =>
+ k -> new ExecutorStageSummary(
+ taskTime = summary.taskTime,
+ failedTasks = summary.failedTasks,
+ succeededTasks = summary.succeededTasks,
+ inputBytes = summary.inputBytes,
+ outputBytes = summary.outputBytes,
+ shuffleRead = summary.shuffleRead,
+ shuffleWrite = summary.shuffleWrite,
+ memoryBytesSpilled = summary.memoryBytesSpilled,
+ diskBytesSpilled = summary.diskBytesSpilled
+ )
+ })
+ } else {
+ None
+ }
+
+ val accumulableInfo = stageUiData.accumulables.values.map { convertAccumulableInfo }.toSeq
+
+ new StageData(
+ status = status,
+ stageId = stageInfo.stageId,
+ attemptId = stageInfo.attemptId,
+ numActiveTasks = stageUiData.numActiveTasks,
+ numCompleteTasks = stageUiData.numCompleteTasks,
+ numFailedTasks = stageUiData.numFailedTasks,
+ executorRunTime = stageUiData.executorRunTime,
+ inputBytes = stageUiData.inputBytes,
+ inputRecords = stageUiData.inputRecords,
+ outputBytes = stageUiData.outputBytes,
+ outputRecords = stageUiData.outputRecords,
+ shuffleReadBytes = stageUiData.shuffleReadTotalBytes,
+ shuffleReadRecords = stageUiData.shuffleReadRecords,
+ shuffleWriteBytes = stageUiData.shuffleWriteBytes,
+ shuffleWriteRecords = stageUiData.shuffleWriteRecords,
+ memoryBytesSpilled = stageUiData.memoryBytesSpilled,
+ diskBytesSpilled = stageUiData.diskBytesSpilled,
+ schedulingPool = stageUiData.schedulingPool,
+ name = stageInfo.name,
+ details = stageInfo.details,
+ accumulatorUpdates = accumulableInfo,
+ tasks = taskData,
+ executorSummary = executorSummary
+ )
+ }
+
+ def stagesAndStatus(ui: SparkUI): Seq[(StageStatus, Seq[StageInfo])] = {
+ val listener = ui.jobProgressListener
+ listener.synchronized {
+ Seq(
+ StageStatus.ACTIVE -> listener.activeStages.values.toSeq,
+ StageStatus.COMPLETE -> listener.completedStages.reverse.toSeq,
+ StageStatus.FAILED -> listener.failedStages.reverse.toSeq,
+ StageStatus.PENDING -> listener.pendingStages.values.toSeq
+ )
+ }
+ }
+
+ def convertTaskData(uiData: TaskUIData): TaskData = {
+ new TaskData(
+ taskId = uiData.taskInfo.taskId,
+ index = uiData.taskInfo.index,
+ attempt = uiData.taskInfo.attempt,
+ launchTime = new Date(uiData.taskInfo.launchTime),
+ executorId = uiData.taskInfo.executorId,
+ host = uiData.taskInfo.host,
+ taskLocality = uiData.taskInfo.taskLocality.toString(),
+ speculative = uiData.taskInfo.speculative,
+ accumulatorUpdates = uiData.taskInfo.accumulables.map { convertAccumulableInfo },
+ errorMessage = uiData.errorMessage,
+ taskMetrics = uiData.taskMetrics.map { convertUiTaskMetrics }
+ )
+ }
+
+ def taskMetricDistributions(
+ allTaskData: Iterable[TaskUIData],
+ quantiles: Array[Double]): TaskMetricDistributions = {
+
+ val rawMetrics = allTaskData.flatMap{_.taskMetrics}.toSeq
+
+ def metricQuantiles(f: InternalTaskMetrics => Double): IndexedSeq[Double] =
+ Distribution(rawMetrics.map { d => f(d) }).get.getQuantiles(quantiles)
+
+ // We need to do a lot of similar munging to nested metrics here. For each one,
+ // we want (a) extract the values for nested metrics (b) make a distribution for each metric
+ // (c) shove the distribution into the right field in our return type and (d) only return
+ // a result if the option is defined for any of the tasks. MetricHelper is a little util
+ // to make it a little easier to deal w/ all of the nested options. Mostly it lets us just
+ // implement one "build" method, which just builds the quantiles for each field.
+
+ val inputMetrics: Option[InputMetricDistributions] =
+ new MetricHelper[InternalInputMetrics, InputMetricDistributions](rawMetrics, quantiles) {
+ def getSubmetrics(raw: InternalTaskMetrics): Option[InternalInputMetrics] = {
+ raw.inputMetrics
+ }
+
+ def build: InputMetricDistributions = new InputMetricDistributions(
+ bytesRead = submetricQuantiles(_.bytesRead),
+ recordsRead = submetricQuantiles(_.recordsRead)
+ )
+ }.metricOption
+
+ val outputMetrics: Option[OutputMetricDistributions] =
+ new MetricHelper[InternalOutputMetrics, OutputMetricDistributions](rawMetrics, quantiles) {
+ def getSubmetrics(raw:InternalTaskMetrics): Option[InternalOutputMetrics] = {
+ raw.outputMetrics
+ }
+ def build: OutputMetricDistributions = new OutputMetricDistributions(
+ bytesWritten = submetricQuantiles(_.bytesWritten),
+ recordsWritten = submetricQuantiles(_.recordsWritten)
+ )
+ }.metricOption
+
+ val shuffleReadMetrics: Option[ShuffleReadMetricDistributions] =
+ new MetricHelper[InternalShuffleReadMetrics, ShuffleReadMetricDistributions](rawMetrics,
+ quantiles) {
+ def getSubmetrics(raw: InternalTaskMetrics): Option[InternalShuffleReadMetrics] = {
+ raw.shuffleReadMetrics
+ }
+ def build: ShuffleReadMetricDistributions = new ShuffleReadMetricDistributions(
+ readBytes = submetricQuantiles(_.totalBytesRead),
+ readRecords = submetricQuantiles(_.recordsRead),
+ remoteBytesRead = submetricQuantiles(_.remoteBytesRead),
+ remoteBlocksFetched = submetricQuantiles(_.remoteBlocksFetched),
+ localBlocksFetched = submetricQuantiles(_.localBlocksFetched),
+ totalBlocksFetched = submetricQuantiles(_.totalBlocksFetched),
+ fetchWaitTime = submetricQuantiles(_.fetchWaitTime)
+ )
+ }.metricOption
+
+ val shuffleWriteMetrics: Option[ShuffleWriteMetricDistributions] =
+ new MetricHelper[InternalShuffleWriteMetrics, ShuffleWriteMetricDistributions](rawMetrics,
+ quantiles) {
+ def getSubmetrics(raw: InternalTaskMetrics): Option[InternalShuffleWriteMetrics] = {
+ raw.shuffleWriteMetrics
+ }
+ def build: ShuffleWriteMetricDistributions = new ShuffleWriteMetricDistributions(
+ writeBytes = submetricQuantiles(_.shuffleBytesWritten),
+ writeRecords = submetricQuantiles(_.shuffleRecordsWritten),
+ writeTime = submetricQuantiles(_.shuffleWriteTime)
+ )
+ }.metricOption
+
+ new TaskMetricDistributions(
+ quantiles = quantiles,
+ executorDeserializeTime = metricQuantiles(_.executorDeserializeTime),
+ executorRunTime = metricQuantiles(_.executorRunTime),
+ resultSize = metricQuantiles(_.resultSize),
+ jvmGcTime = metricQuantiles(_.jvmGCTime),
+ resultSerializationTime = metricQuantiles(_.resultSerializationTime),
+ memoryBytesSpilled = metricQuantiles(_.memoryBytesSpilled),
+ diskBytesSpilled = metricQuantiles(_.diskBytesSpilled),
+ inputMetrics = inputMetrics,
+ outputMetrics = outputMetrics,
+ shuffleReadMetrics = shuffleReadMetrics,
+ shuffleWriteMetrics = shuffleWriteMetrics
+ )
+ }
+
+ def convertAccumulableInfo(acc: InternalAccumulableInfo): AccumulableInfo = {
+ new AccumulableInfo(acc.id, acc.name, acc.update, acc.value)
+ }
+
+ def convertUiTaskMetrics(internal: InternalTaskMetrics): TaskMetrics = {
+ new TaskMetrics(
+ executorDeserializeTime = internal.executorDeserializeTime,
+ executorRunTime = internal.executorRunTime,
+ resultSize = internal.resultSize,
+ jvmGcTime = internal.jvmGCTime,
+ resultSerializationTime = internal.resultSerializationTime,
+ memoryBytesSpilled = internal.memoryBytesSpilled,
+ diskBytesSpilled = internal.diskBytesSpilled,
+ inputMetrics = internal.inputMetrics.map { convertInputMetrics },
+ outputMetrics = Option(internal.outputMetrics).flatten.map { convertOutputMetrics },
+ shuffleReadMetrics = internal.shuffleReadMetrics.map { convertShuffleReadMetrics },
+ shuffleWriteMetrics = internal.shuffleWriteMetrics.map { convertShuffleWriteMetrics }
+ )
+ }
+
+ def convertInputMetrics(internal: InternalInputMetrics): InputMetrics = {
+ new InputMetrics(
+ bytesRead = internal.bytesRead,
+ recordsRead = internal.recordsRead
+ )
+ }
+
+ def convertOutputMetrics(internal: InternalOutputMetrics): OutputMetrics = {
+ new OutputMetrics(
+ bytesWritten = internal.bytesWritten,
+ recordsWritten = internal.recordsWritten
+ )
+ }
+
+ def convertShuffleReadMetrics(internal: InternalShuffleReadMetrics): ShuffleReadMetrics = {
+ new ShuffleReadMetrics(
+ remoteBlocksFetched = internal.remoteBlocksFetched,
+ localBlocksFetched = internal.localBlocksFetched,
+ fetchWaitTime = internal.fetchWaitTime,
+ remoteBytesRead = internal.remoteBytesRead,
+ totalBlocksFetched = internal.totalBlocksFetched,
+ recordsRead = internal.recordsRead
+ )
+ }
+
+ def convertShuffleWriteMetrics(internal: InternalShuffleWriteMetrics): ShuffleWriteMetrics = {
+ new ShuffleWriteMetrics(
+ bytesWritten = internal.shuffleBytesWritten,
+ writeTime = internal.shuffleWriteTime,
+ recordsWritten = internal.shuffleRecordsWritten
+ )
+ }
+}
+
+/**
+ * Helper for getting distributions from nested metric types. Many of the metrics we want are
+ * contained in options inside TaskMetrics (eg., ShuffleWriteMetrics). This makes it easy to handle
+ * the options (returning None if the metrics are all empty), and extract the quantiles for each
+ * metric. After creating an instance, call metricOption to get the result type.
+ */
+private[v1] abstract class MetricHelper[I,O](
+ rawMetrics: Seq[InternalTaskMetrics],
+ quantiles: Array[Double]) {
+
+ def getSubmetrics(raw: InternalTaskMetrics): Option[I]
+
+ def build: O
+
+ val data: Seq[I] = rawMetrics.flatMap(getSubmetrics)
+
+ /** applies the given function to all input metrics, and returns the quantiles */
+ def submetricQuantiles(f: I => Double): IndexedSeq[Double] = {
+ Distribution(data.map { d => f(d) }).get.getQuantiles(quantiles)
+ }
+
+ def metricOption: Option[O] = {
+ if (data.isEmpty) {
+ None
+ } else {
+ Some(build)
+ }
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/ApiRootResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/ApiRootResource.scala
new file mode 100644
index 0000000000000..bf2cc2e72f1fe
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/ApiRootResource.scala
@@ -0,0 +1,255 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.servlet.ServletContext
+import javax.ws.rs._
+import javax.ws.rs.core.{Context, Response}
+
+import com.sun.jersey.api.core.ResourceConfig
+import com.sun.jersey.spi.container.servlet.ServletContainer
+import org.eclipse.jetty.server.handler.ContextHandler
+import org.eclipse.jetty.servlet.{ServletContextHandler, ServletHolder}
+
+import org.apache.spark.SecurityManager
+import org.apache.spark.ui.SparkUI
+
+/**
+ * Main entry point for serving spark application metrics as json, using JAX-RS.
+ *
+ * Each resource should have endpoints that return **public** classes defined in api.scala. Mima
+ * binary compatibility checks ensure that we don't inadvertently make changes that break the api.
+ * The returned objects are automatically converted to json by jackson with JacksonMessageWriter.
+ * In addition, there are a number of tests in HistoryServerSuite that compare the json to "golden
+ * files". Any changes and additions should be reflected there as well -- see the notes in
+ * HistoryServerSuite.
+ */
+@Path("/v1")
+private[v1] class ApiRootResource extends UIRootFromServletContext {
+
+ @Path("applications")
+ def getApplicationList(): ApplicationListResource = {
+ new ApplicationListResource(uiRoot)
+ }
+
+ @Path("applications/{appId}")
+ def getApplication(): OneApplicationResource = {
+ new OneApplicationResource(uiRoot)
+ }
+
+ @Path("applications/{appId}/{attemptId}/jobs")
+ def getJobs(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): AllJobsResource = {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new AllJobsResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/jobs")
+ def getJobs(@PathParam("appId") appId: String): AllJobsResource = {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new AllJobsResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/jobs/{jobId: \\d+}")
+ def getJob(@PathParam("appId") appId: String): OneJobResource = {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new OneJobResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/{attemptId}/jobs/{jobId: \\d+}")
+ def getJob(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): OneJobResource = {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new OneJobResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/executors")
+ def getExecutors(@PathParam("appId") appId: String): ExecutorListResource = {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new ExecutorListResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/{attemptId}/executors")
+ def getExecutors(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): ExecutorListResource = {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new ExecutorListResource(ui)
+ }
+ }
+
+
+ @Path("applications/{appId}/stages")
+ def getStages(@PathParam("appId") appId: String): AllStagesResource= {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new AllStagesResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/{attemptId}/stages")
+ def getStages(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): AllStagesResource= {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new AllStagesResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/stages/{stageId: \\d+}")
+ def getStage(@PathParam("appId") appId: String): OneStageResource= {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new OneStageResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/{attemptId}/stages/{stageId: \\d+}")
+ def getStage(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): OneStageResource = {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new OneStageResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/storage/rdd")
+ def getRdds(@PathParam("appId") appId: String): AllRDDResource = {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new AllRDDResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/{attemptId}/storage/rdd")
+ def getRdds(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): AllRDDResource = {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new AllRDDResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/storage/rdd/{rddId: \\d+}")
+ def getRdd(@PathParam("appId") appId: String): OneRDDResource = {
+ uiRoot.withSparkUI(appId, None) { ui =>
+ new OneRDDResource(ui)
+ }
+ }
+
+ @Path("applications/{appId}/{attemptId}/storage/rdd/{rddId: \\d+}")
+ def getRdd(
+ @PathParam("appId") appId: String,
+ @PathParam("attemptId") attemptId: String): OneRDDResource = {
+ uiRoot.withSparkUI(appId, Some(attemptId)) { ui =>
+ new OneRDDResource(ui)
+ }
+ }
+
+}
+
+private[spark] object ApiRootResource {
+
+ def getServletHandler(uiRoot: UIRoot): ServletContextHandler = {
+ val jerseyContext = new ServletContextHandler(ServletContextHandler.NO_SESSIONS)
+ jerseyContext.setContextPath("/api")
+ val holder:ServletHolder = new ServletHolder(classOf[ServletContainer])
+ holder.setInitParameter("com.sun.jersey.config.property.resourceConfigClass",
+ "com.sun.jersey.api.core.PackagesResourceConfig")
+ holder.setInitParameter("com.sun.jersey.config.property.packages",
+ "org.apache.spark.status.api.v1")
+ holder.setInitParameter(ResourceConfig.PROPERTY_CONTAINER_REQUEST_FILTERS,
+ classOf[SecurityFilter].getCanonicalName)
+ UIRootFromServletContext.setUiRoot(jerseyContext, uiRoot)
+ jerseyContext.addServlet(holder, "/*")
+ jerseyContext
+ }
+}
+
+/**
+ * This trait is shared by the all the root containers for application UI information --
+ * the HistoryServer, the Master UI, and the application UI. This provides the common
+ * interface needed for them all to expose application info as json.
+ */
+private[spark] trait UIRoot {
+ def getSparkUI(appKey: String): Option[SparkUI]
+ def getApplicationInfoList: Iterator[ApplicationInfo]
+
+ /**
+ * Get the spark UI with the given appID, and apply a function
+ * to it. If there is no such app, throw an appropriate exception
+ */
+ def withSparkUI[T](appId: String, attemptId: Option[String])(f: SparkUI => T): T = {
+ val appKey = attemptId.map(appId + "/" + _).getOrElse(appId)
+ getSparkUI(appKey) match {
+ case Some(ui) =>
+ f(ui)
+ case None => throw new NotFoundException("no such app: " + appId)
+ }
+ }
+ def securityManager: SecurityManager
+}
+
+private[v1] object UIRootFromServletContext {
+
+ private val attribute = getClass.getCanonicalName
+
+ def setUiRoot(contextHandler: ContextHandler, uiRoot: UIRoot): Unit = {
+ contextHandler.setAttribute(attribute, uiRoot)
+ }
+
+ def getUiRoot(context: ServletContext): UIRoot = {
+ context.getAttribute(attribute).asInstanceOf[UIRoot]
+ }
+}
+
+private[v1] trait UIRootFromServletContext {
+ @Context
+ var servletContext: ServletContext = _
+
+ def uiRoot: UIRoot = UIRootFromServletContext.getUiRoot(servletContext)
+}
+
+private[v1] class NotFoundException(msg: String) extends WebApplicationException(
+ new NoSuchElementException(msg),
+ Response
+ .status(Response.Status.NOT_FOUND)
+ .entity(ErrorWrapper(msg))
+ .build()
+)
+
+private[v1] class BadParameterException(msg: String) extends WebApplicationException(
+ new IllegalArgumentException(msg),
+ Response
+ .status(Response.Status.BAD_REQUEST)
+ .entity(ErrorWrapper(msg))
+ .build()
+) {
+ def this(param: String, exp: String, actual: String) = {
+ this(raw"""Bad value for parameter "$param". Expected a $exp, got "$actual"""")
+ }
+}
+
+/**
+ * Signal to JacksonMessageWriter to not convert the message into json (which would result in an
+ * extra set of quotes).
+ */
+private[v1] case class ErrorWrapper(s: String)
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/ApplicationListResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/ApplicationListResource.scala
new file mode 100644
index 0000000000000..17b521f3e1d41
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/ApplicationListResource.scala
@@ -0,0 +1,94 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import java.util.{Arrays, Date, List => JList}
+import javax.ws.rs.{DefaultValue, GET, Produces, QueryParam}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.deploy.history.ApplicationHistoryInfo
+import org.apache.spark.deploy.master.{ApplicationInfo => InternalApplicationInfo}
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class ApplicationListResource(uiRoot: UIRoot) {
+
+ @GET
+ def appList(
+ @QueryParam("status") status: JList[ApplicationStatus],
+ @DefaultValue("2010-01-01") @QueryParam("minDate") minDate: SimpleDateParam,
+ @DefaultValue("3000-01-01") @QueryParam("maxDate") maxDate: SimpleDateParam)
+ : Iterator[ApplicationInfo] = {
+ val allApps = uiRoot.getApplicationInfoList
+ val adjStatus = {
+ if (status.isEmpty) {
+ Arrays.asList(ApplicationStatus.values(): _*)
+ } else {
+ status
+ }
+ }
+ val includeCompleted = adjStatus.contains(ApplicationStatus.COMPLETED)
+ val includeRunning = adjStatus.contains(ApplicationStatus.RUNNING)
+ allApps.filter { app =>
+ val anyRunning = app.attempts.exists(!_.completed)
+ // if any attempt is still running, we consider the app to also still be running
+ val statusOk = (!anyRunning && includeCompleted) ||
+ (anyRunning && includeRunning)
+ // keep the app if *any* attempts fall in the right time window
+ val dateOk = app.attempts.exists { attempt =>
+ attempt.startTime.getTime >= minDate.timestamp &&
+ attempt.startTime.getTime <= maxDate.timestamp
+ }
+ statusOk && dateOk
+ }
+ }
+}
+
+private[spark] object ApplicationsListResource {
+ def appHistoryInfoToPublicAppInfo(app: ApplicationHistoryInfo): ApplicationInfo = {
+ new ApplicationInfo(
+ id = app.id,
+ name = app.name,
+ attempts = app.attempts.map { internalAttemptInfo =>
+ new ApplicationAttemptInfo(
+ attemptId = internalAttemptInfo.attemptId,
+ startTime = new Date(internalAttemptInfo.startTime),
+ endTime = new Date(internalAttemptInfo.endTime),
+ sparkUser = internalAttemptInfo.sparkUser,
+ completed = internalAttemptInfo.completed
+ )
+ }
+ )
+ }
+
+ def convertApplicationInfo(
+ internal: InternalApplicationInfo,
+ completed: Boolean): ApplicationInfo = {
+ // standalone application info always has just one attempt
+ new ApplicationInfo(
+ id = internal.id,
+ name = internal.desc.name,
+ attempts = Seq(new ApplicationAttemptInfo(
+ attemptId = None,
+ startTime = new Date(internal.startTime),
+ endTime = new Date(internal.endTime),
+ sparkUser = internal.desc.user,
+ completed = completed
+ ))
+ )
+ }
+
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/ExecutorListResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/ExecutorListResource.scala
new file mode 100644
index 0000000000000..8ad4656b4dada
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/ExecutorListResource.scala
@@ -0,0 +1,36 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contributor license agreements. See the NOTICE file distributed with
+* this work for additional information regarding copyright ownership.
+* The ASF licenses this file to You under the Apache License, Version 2.0
+* (the "License"); you may not use this file except in compliance with
+* the License. You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs.{GET, PathParam, Produces}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.ui.exec.ExecutorsPage
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class ExecutorListResource(ui: SparkUI) {
+
+ @GET
+ def executorList(): Seq[ExecutorSummary] = {
+ val listener = ui.executorsListener
+ val storageStatusList = listener.storageStatusList
+ (0 until storageStatusList.size).map { statusId =>
+ ExecutorsPage.getExecInfo(listener, statusId)
+ }
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/JacksonMessageWriter.scala b/core/src/main/scala/org/apache/spark/status/api/v1/JacksonMessageWriter.scala
new file mode 100644
index 0000000000000..202a5191ad57d
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/JacksonMessageWriter.scala
@@ -0,0 +1,93 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import java.io.OutputStream
+import java.lang.annotation.Annotation
+import java.lang.reflect.Type
+import java.text.SimpleDateFormat
+import java.util.{Calendar, SimpleTimeZone}
+import javax.ws.rs.Produces
+import javax.ws.rs.core.{MediaType, MultivaluedMap}
+import javax.ws.rs.ext.{MessageBodyWriter, Provider}
+
+import com.fasterxml.jackson.annotation.JsonInclude
+import com.fasterxml.jackson.databind.{ObjectMapper, SerializationFeature}
+
+/**
+ * This class converts the POJO metric responses into json, using jackson.
+ *
+ * This doesn't follow the standard jersey-jackson plugin options, because we want to stick
+ * with an old version of jersey (since we have it from yarn anyway) and don't want to pull in lots
+ * of dependencies from a new plugin.
+ *
+ * Note that jersey automatically discovers this class based on its package and its annotations.
+ */
+@Provider
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class JacksonMessageWriter extends MessageBodyWriter[Object]{
+
+ val mapper = new ObjectMapper() {
+ override def writeValueAsString(t: Any): String = {
+ super.writeValueAsString(t)
+ }
+ }
+ mapper.registerModule(com.fasterxml.jackson.module.scala.DefaultScalaModule)
+ mapper.enable(SerializationFeature.INDENT_OUTPUT)
+ mapper.setSerializationInclusion(JsonInclude.Include.NON_NULL)
+ mapper.setDateFormat(JacksonMessageWriter.makeISODateFormat)
+
+ override def isWriteable(
+ aClass: Class[_],
+ `type`: Type,
+ annotations: Array[Annotation],
+ mediaType: MediaType): Boolean = {
+ true
+ }
+
+ override def writeTo(
+ t: Object,
+ aClass: Class[_],
+ `type`: Type,
+ annotations: Array[Annotation],
+ mediaType: MediaType,
+ multivaluedMap: MultivaluedMap[String, AnyRef],
+ outputStream: OutputStream): Unit = {
+ t match {
+ case ErrorWrapper(err) => outputStream.write(err.getBytes("utf-8"))
+ case _ => mapper.writeValue(outputStream, t)
+ }
+ }
+
+ override def getSize(
+ t: Object,
+ aClass: Class[_],
+ `type`: Type,
+ annotations: Array[Annotation],
+ mediaType: MediaType): Long = {
+ -1L
+ }
+}
+
+private[spark] object JacksonMessageWriter {
+ def makeISODateFormat: SimpleDateFormat = {
+ val iso8601 = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSS'GMT'")
+ val cal = Calendar.getInstance(new SimpleTimeZone(0, "GMT"))
+ iso8601.setCalendar(cal)
+ iso8601
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/OneApplicationResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/OneApplicationResource.scala
new file mode 100644
index 0000000000000..b5ef72649e295
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/OneApplicationResource.scala
@@ -0,0 +1,31 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs.core.MediaType
+import javax.ws.rs.{Produces, PathParam, GET}
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class OneApplicationResource(uiRoot: UIRoot) {
+
+ @GET
+ def getApp(@PathParam("appId") appId: String): ApplicationInfo = {
+ val apps = uiRoot.getApplicationInfoList.find { _.id == appId }
+ apps.getOrElse(throw new NotFoundException("unknown app: " + appId))
+ }
+
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/OneJobResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/OneJobResource.scala
new file mode 100644
index 0000000000000..6d8a60d480aed
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/OneJobResource.scala
@@ -0,0 +1,41 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs.{PathParam, GET, Produces}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.JobExecutionStatus
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.ui.jobs.UIData.JobUIData
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class OneJobResource(ui: SparkUI) {
+
+ @GET
+ def oneJob(@PathParam("jobId") jobId: Int): JobData = {
+ val statusToJobs: Seq[(JobExecutionStatus, Seq[JobUIData])] =
+ AllJobsResource.getStatusToJobs(ui)
+ val jobOpt = statusToJobs.map {_._2} .flatten.find { jobInfo => jobInfo.jobId == jobId}
+ jobOpt.map { job =>
+ AllJobsResource.convertJobData(job, ui.jobProgressListener, false)
+ }.getOrElse {
+ throw new NotFoundException("unknown job: " + jobId)
+ }
+ }
+
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/OneRDDResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/OneRDDResource.scala
new file mode 100644
index 0000000000000..07b224fac4786
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/OneRDDResource.scala
@@ -0,0 +1,34 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs.{PathParam, GET, Produces}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.ui.SparkUI
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class OneRDDResource(ui: SparkUI) {
+
+ @GET
+ def rddData(@PathParam("rddId") rddId: Int): RDDStorageInfo = {
+ AllRDDResource.getRDDStorageInfo(rddId, ui.storageListener, true).getOrElse(
+ throw new NotFoundException(s"no rdd found w/ id $rddId")
+ )
+ }
+
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/OneStageResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/OneStageResource.scala
new file mode 100644
index 0000000000000..fd24aea63a8a1
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/OneStageResource.scala
@@ -0,0 +1,150 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs._
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.SparkException
+import org.apache.spark.scheduler.StageInfo
+import org.apache.spark.status.api.v1.StageStatus._
+import org.apache.spark.status.api.v1.TaskSorting._
+import org.apache.spark.ui.SparkUI
+import org.apache.spark.ui.jobs.JobProgressListener
+import org.apache.spark.ui.jobs.UIData.StageUIData
+
+@Produces(Array(MediaType.APPLICATION_JSON))
+private[v1] class OneStageResource(ui: SparkUI) {
+
+ @GET
+ @Path("")
+ def stageData(@PathParam("stageId") stageId: Int): Seq[StageData] = {
+ withStage(stageId){ stageAttempts =>
+ stageAttempts.map { stage =>
+ AllStagesResource.stageUiToStageData(stage.status, stage.info, stage.ui,
+ includeDetails = true)
+ }
+ }
+ }
+
+ @GET
+ @Path("/{stageAttemptId: \\d+}")
+ def oneAttemptData(
+ @PathParam("stageId") stageId: Int,
+ @PathParam("stageAttemptId") stageAttemptId: Int): StageData = {
+ withStageAttempt(stageId, stageAttemptId) { stage =>
+ AllStagesResource.stageUiToStageData(stage.status, stage.info, stage.ui,
+ includeDetails = true)
+ }
+ }
+
+ @GET
+ @Path("/{stageAttemptId: \\d+}/taskSummary")
+ def taskSummary(
+ @PathParam("stageId") stageId: Int,
+ @PathParam("stageAttemptId") stageAttemptId: Int,
+ @DefaultValue("0.05,0.25,0.5,0.75,0.95") @QueryParam("quantiles") quantileString: String)
+ : TaskMetricDistributions = {
+ withStageAttempt(stageId, stageAttemptId) { stage =>
+ val quantiles = quantileString.split(",").map { s =>
+ try {
+ s.toDouble
+ } catch {
+ case nfe: NumberFormatException =>
+ throw new BadParameterException("quantiles", "double", s)
+ }
+ }
+ AllStagesResource.taskMetricDistributions(stage.ui.taskData.values, quantiles)
+ }
+ }
+
+ @GET
+ @Path("/{stageAttemptId: \\d+}/taskList")
+ def taskList(
+ @PathParam("stageId") stageId: Int,
+ @PathParam("stageAttemptId") stageAttemptId: Int,
+ @DefaultValue("0") @QueryParam("offset") offset: Int,
+ @DefaultValue("20") @QueryParam("length") length: Int,
+ @DefaultValue("ID") @QueryParam("sortBy") sortBy: TaskSorting): Seq[TaskData] = {
+ withStageAttempt(stageId, stageAttemptId) { stage =>
+ val tasks = stage.ui.taskData.values.map{AllStagesResource.convertTaskData}.toIndexedSeq
+ .sorted(OneStageResource.ordering(sortBy))
+ tasks.slice(offset, offset + length)
+ }
+ }
+
+ private case class StageStatusInfoUi(status: StageStatus, info: StageInfo, ui: StageUIData)
+
+ private def withStage[T](stageId: Int)(f: Seq[StageStatusInfoUi] => T): T = {
+ val stageAttempts = findStageStatusUIData(ui.jobProgressListener, stageId)
+ if (stageAttempts.isEmpty) {
+ throw new NotFoundException("unknown stage: " + stageId)
+ } else {
+ f(stageAttempts)
+ }
+ }
+
+ private def findStageStatusUIData(
+ listener: JobProgressListener,
+ stageId: Int): Seq[StageStatusInfoUi] = {
+ listener.synchronized {
+ def getStatusInfoUi(status: StageStatus, infos: Seq[StageInfo]): Seq[StageStatusInfoUi] = {
+ infos.filter { _.stageId == stageId }.map { info =>
+ val ui = listener.stageIdToData.getOrElse((info.stageId, info.attemptId),
+ // this is an internal error -- we should always have uiData
+ throw new SparkException(
+ s"no stage ui data found for stage: ${info.stageId}:${info.attemptId}")
+ )
+ StageStatusInfoUi(status, info, ui)
+ }
+ }
+ getStatusInfoUi(ACTIVE, listener.activeStages.values.toSeq) ++
+ getStatusInfoUi(COMPLETE, listener.completedStages) ++
+ getStatusInfoUi(FAILED, listener.failedStages) ++
+ getStatusInfoUi(PENDING, listener.pendingStages.values.toSeq)
+ }
+ }
+
+ private def withStageAttempt[T](
+ stageId: Int,
+ stageAttemptId: Int)
+ (f: StageStatusInfoUi => T): T = {
+ withStage(stageId) { attempts =>
+ val oneAttempt = attempts.find { stage => stage.info.attemptId == stageAttemptId }
+ oneAttempt match {
+ case Some(stage) =>
+ f(stage)
+ case None =>
+ val stageAttempts = attempts.map { _.info.attemptId }
+ throw new NotFoundException(s"unknown attempt for stage $stageId. " +
+ s"Found attempts: ${stageAttempts.mkString("[", ",", "]")}")
+ }
+ }
+ }
+}
+
+object OneStageResource {
+ def ordering(taskSorting: TaskSorting): Ordering[TaskData] = {
+ val extractor: (TaskData => Long) = td =>
+ taskSorting match {
+ case ID => td.taskId
+ case INCREASING_RUNTIME => td.taskMetrics.map{_.executorRunTime}.getOrElse(-1L)
+ case DECREASING_RUNTIME => -td.taskMetrics.map{_.executorRunTime}.getOrElse(-1L)
+ }
+ Ordering.by(extractor)
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/SecurityFilter.scala b/core/src/main/scala/org/apache/spark/status/api/v1/SecurityFilter.scala
new file mode 100644
index 0000000000000..95fbd96ade5ab
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/SecurityFilter.scala
@@ -0,0 +1,38 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import javax.ws.rs.WebApplicationException
+import javax.ws.rs.core.Response
+
+import com.sun.jersey.spi.container.{ContainerRequest, ContainerRequestFilter}
+
+private[v1] class SecurityFilter extends ContainerRequestFilter with UIRootFromServletContext {
+ def filter(req: ContainerRequest): ContainerRequest = {
+ val user = Option(req.getUserPrincipal).map { _.getName }.orNull
+ if (uiRoot.securityManager.checkUIViewPermissions(user)) {
+ req
+ } else {
+ throw new WebApplicationException(
+ Response
+ .status(Response.Status.FORBIDDEN)
+ .entity(raw"""user "$user"is not authorized""")
+ .build()
+ )
+ }
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/SimpleDateParam.scala b/core/src/main/scala/org/apache/spark/status/api/v1/SimpleDateParam.scala
new file mode 100644
index 0000000000000..cee29786c3019
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/SimpleDateParam.scala
@@ -0,0 +1,55 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import java.text.SimpleDateFormat
+import java.util.TimeZone
+import javax.ws.rs.WebApplicationException
+import javax.ws.rs.core.Response
+import javax.ws.rs.core.Response.Status
+
+import scala.util.Try
+
+private[v1] class SimpleDateParam(val originalValue: String) {
+ val timestamp: Long = {
+ SimpleDateParam.formats.collectFirst {
+ case fmt if Try(fmt.parse(originalValue)).isSuccess =>
+ fmt.parse(originalValue).getTime()
+ }.getOrElse(
+ throw new WebApplicationException(
+ Response
+ .status(Status.BAD_REQUEST)
+ .entity("Couldn't parse date: " + originalValue)
+ .build()
+ )
+ )
+ }
+}
+
+private[v1] object SimpleDateParam {
+
+ val formats: Seq[SimpleDateFormat] = {
+
+ val gmtDay = new SimpleDateFormat("yyyy-MM-dd")
+ gmtDay.setTimeZone(TimeZone.getTimeZone("GMT"))
+
+ Seq(
+ new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSSz"),
+ gmtDay
+ )
+ }
+}
diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/api.scala b/core/src/main/scala/org/apache/spark/status/api/v1/api.scala
new file mode 100644
index 0000000000000..ef3c8570d8186
--- /dev/null
+++ b/core/src/main/scala/org/apache/spark/status/api/v1/api.scala
@@ -0,0 +1,228 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.status.api.v1
+
+import java.util.Date
+
+import scala.collection.Map
+
+import org.apache.spark.JobExecutionStatus
+
+class ApplicationInfo private[spark](
+ val id: String,
+ val name: String,
+ val attempts: Seq[ApplicationAttemptInfo])
+
+class ApplicationAttemptInfo private[spark](
+ val attemptId: Option[String],
+ val startTime: Date,
+ val endTime: Date,
+ val sparkUser: String,
+ val completed: Boolean = false)
+
+class ExecutorStageSummary private[spark](
+ val taskTime : Long,
+ val failedTasks : Int,
+ val succeededTasks : Int,
+ val inputBytes : Long,
+ val outputBytes : Long,
+ val shuffleRead : Long,
+ val shuffleWrite : Long,
+ val memoryBytesSpilled : Long,
+ val diskBytesSpilled : Long)
+
+class ExecutorSummary private[spark](
+ val id: String,
+ val hostPort: String,
+ val rddBlocks: Int,
+ val memoryUsed: Long,
+ val diskUsed: Long,
+ val activeTasks: Int,
+ val failedTasks: Int,
+ val completedTasks: Int,
+ val totalTasks: Int,
+ val totalDuration: Long,
+ val totalInputBytes: Long,
+ val totalShuffleRead: Long,
+ val totalShuffleWrite: Long,
+ val maxMemory: Long,
+ val executorLogs: Map[String, String])
+
+class JobData private[spark](
+ val jobId: Int,
+ val name: String,
+ val description: Option[String],
+ val submissionTime: Option[Date],
+ val completionTime: Option[Date],
+ val stageIds: Seq[Int],
+ val jobGroup: Option[String],
+ val status: JobExecutionStatus,
+ val numTasks: Int,
+ val numActiveTasks: Int,
+ val numCompletedTasks: Int,
+ val numSkippedTasks: Int,
+ val numFailedTasks: Int,
+ val numActiveStages: Int,
+ val numCompletedStages: Int,
+ val numSkippedStages: Int,
+ val numFailedStages: Int)
+
+// Q: should Tachyon size go in here as well? currently the UI only shows it on the overall storage
+// page ... does anybody pay attention to it?
+class RDDStorageInfo private[spark](
+ val id: Int,
+ val name: String,
+ val numPartitions: Int,
+ val numCachedPartitions: Int,
+ val storageLevel: String,
+ val memoryUsed: Long,
+ val diskUsed: Long,
+ val dataDistribution: Option[Seq[RDDDataDistribution]],
+ val partitions: Option[Seq[RDDPartitionInfo]])
+
+class RDDDataDistribution private[spark](
+ val address: String,
+ val memoryUsed: Long,
+ val memoryRemaining: Long,
+ val diskUsed: Long)
+
+class RDDPartitionInfo private[spark](
+ val blockName: String,
+ val storageLevel: String,
+ val memoryUsed: Long,
+ val diskUsed: Long,
+ val executors: Seq[String])
+
+class StageData private[spark](
+ val status: StageStatus,
+ val stageId: Int,
+ val attemptId: Int,
+ val numActiveTasks: Int ,
+ val numCompleteTasks: Int,
+ val numFailedTasks: Int,
+
+ val executorRunTime: Long,
+
+ val inputBytes: Long,
+ val inputRecords: Long,
+ val outputBytes: Long,
+ val outputRecords: Long,
+ val shuffleReadBytes: Long,
+ val shuffleReadRecords: Long,
+ val shuffleWriteBytes: Long,
+ val shuffleWriteRecords: Long,
+ val memoryBytesSpilled: Long,
+ val diskBytesSpilled: Long,
+
+ val name: String,
+ val details: String,
+ val schedulingPool: String,
+
+ val accumulatorUpdates: Seq[AccumulableInfo],
+ val tasks: Option[Map[Long, TaskData]],
+ val executorSummary:Option[Map[String,ExecutorStageSummary]])
+
+class TaskData private[spark](
+ val taskId: Long,
+ val index: Int,
+ val attempt: Int,
+ val launchTime: Date,
+ val executorId: String,
+ val host: String,
+ val taskLocality: String,
+ val speculative: Boolean,
+ val accumulatorUpdates: Seq[AccumulableInfo],
+ val errorMessage: Option[String] = None,
+ val taskMetrics: Option[TaskMetrics] = None)
+
+class TaskMetrics private[spark](
+ val executorDeserializeTime: Long,
+ val executorRunTime: Long,
+ val resultSize: Long,
+ val jvmGcTime: Long,
+ val resultSerializationTime: Long,
+ val memoryBytesSpilled: Long,
+ val diskBytesSpilled: Long,
+ val inputMetrics: Option[InputMetrics],
+ val outputMetrics: Option[OutputMetrics],
+ val shuffleReadMetrics: Option[ShuffleReadMetrics],
+ val shuffleWriteMetrics: Option[ShuffleWriteMetrics])
+
+class InputMetrics private[spark](
+ val bytesRead: Long,
+ val recordsRead: Long)
+
+class OutputMetrics private[spark](
+ val bytesWritten: Long,
+ val recordsWritten: Long)
+
+class ShuffleReadMetrics private[spark](
+ val remoteBlocksFetched: Int,
+ val localBlocksFetched: Int,
+ val fetchWaitTime: Long,
+ val remoteBytesRead: Long,
+ val totalBlocksFetched: Int,
+ val recordsRead: Long)
+
+class ShuffleWriteMetrics private[spark](
+ val bytesWritten: Long,
+ val writeTime: Long,
+ val recordsWritten: Long)
+
+class TaskMetricDistributions private[spark](
+ val quantiles: IndexedSeq[Double],
+
+ val executorDeserializeTime: IndexedSeq[Double],
+ val executorRunTime: IndexedSeq[Double],
+ val resultSize: IndexedSeq[Double],
+ val jvmGcTime: IndexedSeq[Double],
+ val resultSerializationTime: IndexedSeq[Double],
+ val memoryBytesSpilled: IndexedSeq[Double],
+ val diskBytesSpilled: IndexedSeq[Double],
+
+ val inputMetrics: Option[InputMetricDistributions],
+ val outputMetrics: Option[OutputMetricDistributions],
+ val shuffleReadMetrics: Option[ShuffleReadMetricDistributions],
+ val shuffleWriteMetrics: Option[ShuffleWriteMetricDistributions])
+
+class InputMetricDistributions private[spark](
+ val bytesRead: IndexedSeq[Double],
+ val recordsRead: IndexedSeq[Double])
+
+class OutputMetricDistributions private[spark](
+ val bytesWritten: IndexedSeq[Double],
+ val recordsWritten: IndexedSeq[Double])
+
+class ShuffleReadMetricDistributions private[spark](
+ val readBytes: IndexedSeq[Double],
+ val readRecords: IndexedSeq[Double],
+ val remoteBlocksFetched: IndexedSeq[Double],
+ val localBlocksFetched: IndexedSeq[Double],
+ val fetchWaitTime: IndexedSeq[Double],
+ val remoteBytesRead: IndexedSeq[Double],
+ val totalBlocksFetched: IndexedSeq[Double])
+
+class ShuffleWriteMetricDistributions private[spark](
+ val writeBytes: IndexedSeq[Double],
+ val writeRecords: IndexedSeq[Double],
+ val writeTime: IndexedSeq[Double])
+
+class AccumulableInfo private[spark](
+ val id: Long,
+ val name: String,
+ val update: Option[String],
+ val value: String)
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockId.scala b/core/src/main/scala/org/apache/spark/storage/BlockId.scala
index c186fd360fef6..524f6970992a5 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockId.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockId.scala
@@ -54,7 +54,7 @@ case class RDDBlockId(rddId: Int, splitIndex: Int) extends BlockId {
}
// Format of the shuffle block ids (including data and index) should be kept in sync with
-// org.apache.spark.network.shuffle.StandaloneShuffleBlockManager#getBlockData().
+// org.apache.spark.network.shuffle.ExternalShuffleBlockResolver#getBlockData().
@DeveloperApi
case class ShuffleBlockId(shuffleId: Int, mapId: Int, reduceId: Int) extends BlockId {
override def name: String = "shuffle_" + shuffleId + "_" + mapId + "_" + reduceId
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
index a46fecd2274ef..5048c7dab240b 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManager.scala
@@ -17,12 +17,11 @@
package org.apache.spark.storage
-import java.io.{BufferedOutputStream, ByteArrayOutputStream, File, InputStream, OutputStream}
+import java.io._
import java.nio.{ByteBuffer, MappedByteBuffer}
import scala.collection.mutable.{ArrayBuffer, HashMap}
-import scala.concurrent.{Await, Future}
-import scala.concurrent.ExecutionContext.Implicits.global
+import scala.concurrent.{ExecutionContext, Await, Future}
import scala.concurrent.duration._
import scala.util.Random
@@ -77,6 +76,9 @@ private[spark] class BlockManager(
private val blockInfo = new TimeStampedHashMap[BlockId, BlockInfo]
+ private val futureExecutionContext = ExecutionContext.fromExecutorService(
+ ThreadUtils.newDaemonCachedThreadPool("block-manager-future", 128))
+
// Actual storage of where blocks are kept
private var externalBlockStoreInitialized = false
private[spark] val memoryStore = new MemoryStore(this, maxMemory)
@@ -266,11 +268,13 @@ private[spark] class BlockManager(
asyncReregisterLock.synchronized {
if (asyncReregisterTask == null) {
asyncReregisterTask = Future[Unit] {
+ // This is a blocking action and should run in futureExecutionContext which is a cached
+ // thread pool
reregister()
asyncReregisterLock.synchronized {
asyncReregisterTask = null
}
- }
+ }(futureExecutionContext)
}
}
}
@@ -431,10 +435,11 @@ private[spark] class BlockManager(
// As an optimization for map output fetches, if the block is for a shuffle, return it
// without acquiring a lock; the disk store never deletes (recent) items so this should work
if (blockId.isShuffle) {
- val shuffleBlockManager = shuffleManager.shuffleBlockResolver
+ val shuffleBlockResolver = shuffleManager.shuffleBlockResolver
// TODO: This should gracefully handle case where local block is not available. Currently
// downstream code will throw an exception.
- Option(shuffleBlockManager.getBlockData(blockId.asInstanceOf[ShuffleBlockId]).nioByteBuffer())
+ Option(
+ shuffleBlockResolver.getBlockData(blockId.asInstanceOf[ShuffleBlockId]).nioByteBuffer())
} else {
doGetLocal(blockId, asBlockResult = false).asInstanceOf[Option[ByteBuffer]]
}
@@ -484,16 +489,17 @@ private[spark] class BlockManager(
if (level.useOffHeap) {
logDebug(s"Getting block $blockId from ExternalBlockStore")
if (externalBlockStore.contains(blockId)) {
- externalBlockStore.getBytes(blockId) match {
- case Some(bytes) =>
- if (!asBlockResult) {
- return Some(bytes)
- } else {
- return Some(new BlockResult(
- dataDeserialize(blockId, bytes), DataReadMethod.Memory, info.size))
- }
+ val result = if (asBlockResult) {
+ externalBlockStore.getValues(blockId)
+ .map(new BlockResult(_, DataReadMethod.Memory, info.size))
+ } else {
+ externalBlockStore.getBytes(blockId)
+ }
+ result match {
+ case Some(values) =>
+ return result
case None =>
- logDebug(s"Block $blockId not found in externalBlockStore")
+ logDebug(s"Block $blockId not found in ExternalBlockStore")
}
}
}
@@ -743,7 +749,11 @@ private[spark] class BlockManager(
case b: ByteBufferValues if putLevel.replication > 1 =>
// Duplicate doesn't copy the bytes, but just creates a wrapper
val bufferView = b.buffer.duplicate()
- Future { replicate(blockId, bufferView, putLevel) }
+ Future {
+ // This is a blocking action and should run in futureExecutionContext which is a cached
+ // thread pool
+ replicate(blockId, bufferView, putLevel)
+ }(futureExecutionContext)
case _ => null
}
@@ -1197,8 +1207,19 @@ private[spark] class BlockManager(
bytes: ByteBuffer,
serializer: Serializer = defaultSerializer): Iterator[Any] = {
bytes.rewind()
- val stream = wrapForCompression(blockId, new ByteBufferInputStream(bytes, true))
- serializer.newInstance().deserializeStream(stream).asIterator
+ dataDeserializeStream(blockId, new ByteBufferInputStream(bytes, true), serializer)
+ }
+
+ /**
+ * Deserializes a InputStream into an iterator of values and disposes of it when the end of
+ * the iterator is reached.
+ */
+ def dataDeserializeStream(
+ blockId: BlockId,
+ inputStream: InputStream,
+ serializer: Serializer = defaultSerializer): Iterator[Any] = {
+ val stream = new BufferedInputStream(inputStream)
+ serializer.newInstance().deserializeStream(wrapForCompression(blockId, stream)).asIterator
}
def stop(): Unit = {
@@ -1217,6 +1238,7 @@ private[spark] class BlockManager(
}
metadataCleaner.cancel()
broadcastCleaner.cancel()
+ futureExecutionContext.shutdownNow()
logInfo("BlockManager stopped")
}
}
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala
index a85e1c7632973..abcad9438bf28 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerMaster.scala
@@ -17,13 +17,14 @@
package org.apache.spark.storage
+import scala.collection.Iterable
+import scala.collection.generic.CanBuildFrom
import scala.concurrent.{Await, Future}
-import scala.concurrent.ExecutionContext.Implicits.global
import org.apache.spark.rpc.RpcEndpointRef
import org.apache.spark.{Logging, SparkConf, SparkException}
import org.apache.spark.storage.BlockManagerMessages._
-import org.apache.spark.util.RpcUtils
+import org.apache.spark.util.{ThreadUtils, RpcUtils}
private[spark]
class BlockManagerMaster(
@@ -102,8 +103,8 @@ class BlockManagerMaster(
val future = driverEndpoint.askWithRetry[Future[Seq[Int]]](RemoveRdd(rddId))
future.onFailure {
case e: Exception =>
- logWarning(s"Failed to remove RDD $rddId - ${e.getMessage}}")
- }
+ logWarning(s"Failed to remove RDD $rddId - ${e.getMessage}}", e)
+ }(ThreadUtils.sameThread)
if (blocking) {
Await.result(future, timeout)
}
@@ -114,8 +115,8 @@ class BlockManagerMaster(
val future = driverEndpoint.askWithRetry[Future[Seq[Boolean]]](RemoveShuffle(shuffleId))
future.onFailure {
case e: Exception =>
- logWarning(s"Failed to remove shuffle $shuffleId - ${e.getMessage}}")
- }
+ logWarning(s"Failed to remove shuffle $shuffleId - ${e.getMessage}}", e)
+ }(ThreadUtils.sameThread)
if (blocking) {
Await.result(future, timeout)
}
@@ -128,8 +129,8 @@ class BlockManagerMaster(
future.onFailure {
case e: Exception =>
logWarning(s"Failed to remove broadcast $broadcastId" +
- s" with removeFromMaster = $removeFromMaster - ${e.getMessage}}")
- }
+ s" with removeFromMaster = $removeFromMaster - ${e.getMessage}}", e)
+ }(ThreadUtils.sameThread)
if (blocking) {
Await.result(future, timeout)
}
@@ -169,11 +170,17 @@ class BlockManagerMaster(
val response = driverEndpoint.
askWithRetry[Map[BlockManagerId, Future[Option[BlockStatus]]]](msg)
val (blockManagerIds, futures) = response.unzip
- val result = Await.result(Future.sequence(futures), timeout)
- if (result == null) {
+ implicit val sameThread = ThreadUtils.sameThread
+ val cbf =
+ implicitly[
+ CanBuildFrom[Iterable[Future[Option[BlockStatus]]],
+ Option[BlockStatus],
+ Iterable[Option[BlockStatus]]]]
+ val blockStatus = Await.result(
+ Future.sequence[Option[BlockStatus], Iterable](futures)(cbf, ThreadUtils.sameThread), timeout)
+ if (blockStatus == null) {
throw new SparkException("BlockManager returned null for BlockStatus query: " + blockId)
}
- val blockStatus = result.asInstanceOf[Iterable[Option[BlockStatus]]]
blockManagerIds.zip(blockStatus).flatMap { case (blockManagerId, status) =>
status.map { s => (blockManagerId, s) }
}.toMap
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockObjectWriter.scala b/core/src/main/scala/org/apache/spark/storage/BlockObjectWriter.scala
index 8bc4e205bc3c6..a33f22ef52687 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockObjectWriter.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockObjectWriter.scala
@@ -86,16 +86,6 @@ private[spark] class DiskBlockObjectWriter(
extends BlockObjectWriter(blockId)
with Logging
{
- /** Intercepts write calls and tracks total time spent writing. Not thread safe. */
- private class TimeTrackingOutputStream(out: OutputStream) extends OutputStream {
- override def write(i: Int): Unit = callWithTiming(out.write(i))
- override def write(b: Array[Byte]): Unit = callWithTiming(out.write(b))
- override def write(b: Array[Byte], off: Int, len: Int): Unit = {
- callWithTiming(out.write(b, off, len))
- }
- override def close(): Unit = out.close()
- override def flush(): Unit = out.flush()
- }
/** The file channel, used for repositioning / truncating the file. */
private var channel: FileChannel = null
@@ -136,7 +126,7 @@ private[spark] class DiskBlockObjectWriter(
throw new IllegalStateException("Writer already closed. Cannot be reopened.")
}
fos = new FileOutputStream(file, true)
- ts = new TimeTrackingOutputStream(fos)
+ ts = new TimeTrackingOutputStream(writeMetrics, fos)
channel = fos.getChannel()
bs = compressStream(new BufferedOutputStream(ts, bufferSize))
objOut = serializerInstance.serializeStream(bs)
@@ -150,9 +140,9 @@ private[spark] class DiskBlockObjectWriter(
if (syncWrites) {
// Force outstanding writes to disk and track how long it takes
objOut.flush()
- callWithTiming {
- fos.getFD.sync()
- }
+ val start = System.nanoTime()
+ fos.getFD.sync()
+ writeMetrics.incShuffleWriteTime(System.nanoTime() - start)
}
} {
objOut.close()
@@ -251,12 +241,6 @@ private[spark] class DiskBlockObjectWriter(
reportedPosition = pos
}
- private def callWithTiming(f: => Unit) = {
- val start = System.nanoTime()
- f
- writeMetrics.incShuffleWriteTime(System.nanoTime() - start)
- }
-
// For testing
private[spark] override def flush() {
objOut.flush()
diff --git a/core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala b/core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala
index 5764c16902c66..2a4447705fa65 100644
--- a/core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala
@@ -55,7 +55,7 @@ private[spark] class DiskBlockManager(blockManager: BlockManager, conf: SparkCon
/** Looks up a file by hashing it into one of our local subdirectories. */
// This method should be kept in sync with
- // org.apache.spark.network.shuffle.StandaloneShuffleBlockManager#getFile().
+ // org.apache.spark.network.shuffle.ExternalShuffleBlockResolver#getFile().
def getFile(filename: String): File = {
// Figure out which local directory it hashes to, and which subdirectory in that
val hash = Utils.nonNegativeHash(filename)
diff --git a/core/src/main/scala/org/apache/spark/storage/ExternalBlockManager.scala b/core/src/main/scala/org/apache/spark/storage/ExternalBlockManager.scala
index 8964762df6af3..f39325a12d244 100644
--- a/core/src/main/scala/org/apache/spark/storage/ExternalBlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/ExternalBlockManager.scala
@@ -32,6 +32,8 @@ import java.nio.ByteBuffer
*/
private[spark] abstract class ExternalBlockManager {
+ protected var blockManager: BlockManager = _
+
override def toString: String = {"External Block Store"}
/**
@@ -41,7 +43,9 @@ private[spark] abstract class ExternalBlockManager {
*
* @throws java.io.IOException if there is any file system failure during the initialization.
*/
- def init(blockManager: BlockManager, executorId: String): Unit
+ def init(blockManager: BlockManager, executorId: String): Unit = {
+ this.blockManager = blockManager
+ }
/**
* Drop the block from underlying external block store, if it exists..
@@ -73,6 +77,11 @@ private[spark] abstract class ExternalBlockManager {
*/
def putBytes(blockId: BlockId, bytes: ByteBuffer): Unit
+ def putValues(blockId: BlockId, values: Iterator[_]): Unit = {
+ val bytes = blockManager.dataSerialize(blockId, values)
+ putBytes(blockId, bytes)
+ }
+
/**
* Retrieve the block bytes.
* @return Some(ByteBuffer) if the block bytes is successfully retrieved
@@ -82,6 +91,17 @@ private[spark] abstract class ExternalBlockManager {
*/
def getBytes(blockId: BlockId): Option[ByteBuffer]
+ /**
+ * Retrieve the block data.
+ * @return Some(Iterator[Any]) if the block data is successfully retrieved
+ * None if the block does not exist in the external block store.
+ *
+ * @throws java.io.IOException if there is any file system failure in getting the block.
+ */
+ def getValues(blockId: BlockId): Option[Iterator[_]] = {
+ getBytes(blockId).map(buffer => blockManager.dataDeserialize(blockId, buffer))
+ }
+
/**
* Get the size of the block saved in the underlying external block store,
* which is saved before by putBytes.
diff --git a/core/src/main/scala/org/apache/spark/storage/ExternalBlockStore.scala b/core/src/main/scala/org/apache/spark/storage/ExternalBlockStore.scala
index 0bf770306ae9b..291394ed34816 100644
--- a/core/src/main/scala/org/apache/spark/storage/ExternalBlockStore.scala
+++ b/core/src/main/scala/org/apache/spark/storage/ExternalBlockStore.scala
@@ -18,9 +18,11 @@
package org.apache.spark.storage
import java.nio.ByteBuffer
+
+import scala.util.control.NonFatal
+
import org.apache.spark.Logging
import org.apache.spark.util.Utils
-import scala.util.control.NonFatal
/**
@@ -40,7 +42,7 @@ private[spark] class ExternalBlockStore(blockManager: BlockManager, executorId:
externalBlockManager.map(_.getSize(blockId)).getOrElse(0)
} catch {
case NonFatal(t) =>
- logError(s"error in getSize from $blockId", t)
+ logError(s"Error in getSize($blockId)", t)
0L
}
}
@@ -54,7 +56,7 @@ private[spark] class ExternalBlockStore(blockManager: BlockManager, executorId:
values: Array[Any],
level: StorageLevel,
returnValues: Boolean): PutResult = {
- putIterator(blockId, values.toIterator, level, returnValues)
+ putIntoExternalBlockStore(blockId, values.toIterator, returnValues)
}
override def putIterator(
@@ -62,42 +64,70 @@ private[spark] class ExternalBlockStore(blockManager: BlockManager, executorId:
values: Iterator[Any],
level: StorageLevel,
returnValues: Boolean): PutResult = {
- logDebug(s"Attempting to write values for block $blockId")
- val bytes = blockManager.dataSerialize(blockId, values)
- putIntoExternalBlockStore(blockId, bytes, returnValues)
+ putIntoExternalBlockStore(blockId, values, returnValues)
}
private def putIntoExternalBlockStore(
blockId: BlockId,
- bytes: ByteBuffer,
+ values: Iterator[_],
returnValues: Boolean): PutResult = {
- // So that we do not modify the input offsets !
- // duplicate does not copy buffer, so inexpensive
- val byteBuffer = bytes.duplicate()
- byteBuffer.rewind()
- logDebug(s"Attempting to put block $blockId into ExtBlk store")
+ logTrace(s"Attempting to put block $blockId into ExternalBlockStore")
// we should never hit here if externalBlockManager is None. Handle it anyway for safety.
try {
val startTime = System.currentTimeMillis
if (externalBlockManager.isDefined) {
- externalBlockManager.get.putBytes(blockId, bytes)
+ externalBlockManager.get.putValues(blockId, values)
+ val size = getSize(blockId)
+ val data = if (returnValues) {
+ Left(getValues(blockId).get)
+ } else {
+ null
+ }
val finishTime = System.currentTimeMillis
logDebug("Block %s stored as %s file in ExternalBlockStore in %d ms".format(
- blockId, Utils.bytesToString(byteBuffer.limit), finishTime - startTime))
+ blockId, Utils.bytesToString(size), finishTime - startTime))
+ PutResult(size, data)
+ } else {
+ logError(s"Error in putValues($blockId): no ExternalBlockManager has been configured")
+ PutResult(-1, null, Seq((blockId, BlockStatus.empty)))
+ }
+ } catch {
+ case NonFatal(t) =>
+ logError(s"Error in putValues($blockId)", t)
+ PutResult(-1, null, Seq((blockId, BlockStatus.empty)))
+ }
+ }
- if (returnValues) {
- PutResult(bytes.limit(), Right(bytes.duplicate()))
+ private def putIntoExternalBlockStore(
+ blockId: BlockId,
+ bytes: ByteBuffer,
+ returnValues: Boolean): PutResult = {
+ logTrace(s"Attempting to put block $blockId into ExternalBlockStore")
+ // we should never hit here if externalBlockManager is None. Handle it anyway for safety.
+ try {
+ val startTime = System.currentTimeMillis
+ if (externalBlockManager.isDefined) {
+ val byteBuffer = bytes.duplicate()
+ byteBuffer.rewind()
+ externalBlockManager.get.putBytes(blockId, byteBuffer)
+ val size = bytes.limit()
+ val data = if (returnValues) {
+ Right(bytes)
} else {
- PutResult(bytes.limit(), null)
+ null
}
+ val finishTime = System.currentTimeMillis
+ logDebug("Block %s stored as %s file in ExternalBlockStore in %d ms".format(
+ blockId, Utils.bytesToString(size), finishTime - startTime))
+ PutResult(size, data)
} else {
- logError(s"error in putBytes $blockId")
- PutResult(bytes.limit(), null, Seq((blockId, BlockStatus.empty)))
+ logError(s"Error in putBytes($blockId): no ExternalBlockManager has been configured")
+ PutResult(-1, null, Seq((blockId, BlockStatus.empty)))
}
} catch {
case NonFatal(t) =>
- logError(s"error in putBytes $blockId", t)
- PutResult(bytes.limit(), null, Seq((blockId, BlockStatus.empty)))
+ logError(s"Error in putBytes($blockId)", t)
+ PutResult(-1, null, Seq((blockId, BlockStatus.empty)))
}
}
@@ -107,13 +137,19 @@ private[spark] class ExternalBlockStore(blockManager: BlockManager, executorId:
externalBlockManager.map(_.removeBlock(blockId)).getOrElse(true)
} catch {
case NonFatal(t) =>
- logError(s"error in removing $blockId", t)
+ logError(s"Error in removeBlock($blockId)", t)
true
}
}
override def getValues(blockId: BlockId): Option[Iterator[Any]] = {
- getBytes(blockId).map(buffer => blockManager.dataDeserialize(blockId, buffer))
+ try {
+ externalBlockManager.flatMap(_.getValues(blockId))
+ } catch {
+ case NonFatal(t) =>
+ logError(s"Error in getValues($blockId)", t)
+ None
+ }
}
override def getBytes(blockId: BlockId): Option[ByteBuffer] = {
@@ -121,7 +157,7 @@ private[spark] class ExternalBlockStore(blockManager: BlockManager, executorId:
externalBlockManager.flatMap(_.getBytes(blockId))
} catch {
case NonFatal(t) =>
- logError(s"error in getBytes from $blockId", t)
+ logError(s"Error in getBytes($blockId)", t)
None
}
}
@@ -130,13 +166,13 @@ private[spark] class ExternalBlockStore(blockManager: BlockManager, executorId:
try {
val ret = externalBlockManager.map(_.blockExists(blockId)).getOrElse(false)
if (!ret) {
- logInfo(s"remove block $blockId")
+ logInfo(s"Remove block $blockId")
blockManager.removeBlock(blockId, true)
}
ret
} catch {
case NonFatal(t) =>
- logError(s"error in getBytes from $blockId", t)
+ logError(s"Error in getBytes($blockId)", t)
false
}
}
diff --git a/core/src/main/scala/org/apache/spark/storage/StorageStatusListener.scala b/core/src/main/scala/org/apache/spark/storage/StorageStatusListener.scala
index 7d75929b96f75..ec711480ebf30 100644
--- a/core/src/main/scala/org/apache/spark/storage/StorageStatusListener.scala
+++ b/core/src/main/scala/org/apache/spark/storage/StorageStatusListener.scala
@@ -25,13 +25,17 @@ import org.apache.spark.scheduler._
/**
* :: DeveloperApi ::
* A SparkListener that maintains executor storage status.
+ *
+ * This class is thread-safe (unlike JobProgressListener)
*/
@DeveloperApi
class StorageStatusListener extends SparkListener {
// This maintains only blocks that are cached (i.e. storage level is not StorageLevel.NONE)
private[storage] val executorIdToStorageStatus = mutable.Map[String, StorageStatus]()
- def storageStatusList: Seq[StorageStatus] = executorIdToStorageStatus.values.toSeq
+ def storageStatusList: Seq[StorageStatus] = synchronized {
+ executorIdToStorageStatus.values.toSeq
+ }
/** Update storage status list to reflect updated block statuses */
private def updateStorageStatus(execId: String, updatedBlocks: Seq[(BlockId, BlockStatus)]) {
diff --git a/core/src/main/scala/org/apache/spark/storage/TachyonBlockManager.scala b/core/src/main/scala/org/apache/spark/storage/TachyonBlockManager.scala
index bdc6276e41915..fb4ba0eac9d9a 100644
--- a/core/src/main/scala/org/apache/spark/storage/TachyonBlockManager.scala
+++ b/core/src/main/scala/org/apache/spark/storage/TachyonBlockManager.scala
@@ -22,7 +22,10 @@ import java.nio.ByteBuffer
import java.text.SimpleDateFormat
import java.util.{Date, Random}
+import scala.util.control.NonFatal
+
import com.google.common.io.ByteStreams
+
import tachyon.client.{ReadType, WriteType, TachyonFS, TachyonFile}
import tachyon.TachyonURI
@@ -38,7 +41,6 @@ import org.apache.spark.util.Utils
*/
private[spark] class TachyonBlockManager() extends ExternalBlockManager with Logging {
- var blockManager: BlockManager =_
var rootDirs: String = _
var master: String = _
var client: tachyon.client.TachyonFS = _
@@ -52,7 +54,7 @@ private[spark] class TachyonBlockManager() extends ExternalBlockManager with Log
override def init(blockManager: BlockManager, executorId: String): Unit = {
- this.blockManager = blockManager
+ super.init(blockManager, executorId)
val storeDir = blockManager.conf.get(ExternalBlockStore.BASE_DIR, "/tmp_spark_tachyon")
val appFolderName = blockManager.conf.get(ExternalBlockStore.FOLD_NAME)
@@ -95,8 +97,29 @@ private[spark] class TachyonBlockManager() extends ExternalBlockManager with Log
override def putBytes(blockId: BlockId, bytes: ByteBuffer): Unit = {
val file = getFile(blockId)
val os = file.getOutStream(WriteType.TRY_CACHE)
- os.write(bytes.array())
- os.close()
+ try {
+ os.write(bytes.array())
+ } catch {
+ case NonFatal(e) =>
+ logWarning(s"Failed to put bytes of block $blockId into Tachyon", e)
+ os.cancel()
+ } finally {
+ os.close()
+ }
+ }
+
+ override def putValues(blockId: BlockId, values: Iterator[_]): Unit = {
+ val file = getFile(blockId)
+ val os = file.getOutStream(WriteType.TRY_CACHE)
+ try {
+ blockManager.dataSerializeStream(blockId, os, values)
+ } catch {
+ case NonFatal(e) =>
+ logWarning(s"Failed to put values of block $blockId into Tachyon", e)
+ os.cancel()
+ } finally {
+ os.close()
+ }
}
override def getBytes(blockId: BlockId): Option[ByteBuffer] = {
@@ -105,21 +128,31 @@ private[spark] class TachyonBlockManager() extends ExternalBlockManager with Log
return None
}
val is = file.getInStream(ReadType.CACHE)
- assert (is != null)
try {
val size = file.length
val bs = new Array[Byte](size.asInstanceOf[Int])
ByteStreams.readFully(is, bs)
Some(ByteBuffer.wrap(bs))
} catch {
- case ioe: IOException =>
- logWarning(s"Failed to fetch the block $blockId from Tachyon", ioe)
+ case NonFatal(e) =>
+ logWarning(s"Failed to get bytes of block $blockId from Tachyon", e)
None
} finally {
is.close()
}
}
+ override def getValues(blockId: BlockId): Option[Iterator[_]] = {
+ val file = getFile(blockId)
+ if (file == null || file.getLocationHosts().size() == 0) {
+ return None
+ }
+ val is = file.getInStream(ReadType.CACHE)
+ Option(is).map { is =>
+ blockManager.dataDeserializeStream(blockId, is)
+ }
+ }
+
override def getSize(blockId: BlockId): Long = {
getFile(blockId.name).length
}
@@ -184,7 +217,7 @@ private[spark] class TachyonBlockManager() extends ExternalBlockManager with Log
tachyonDir = client.getFile(path)
}
} catch {
- case e: Exception =>
+ case NonFatal(e) =>
logWarning("Attempt " + tries + " to create tachyon dir " + tachyonDir + " failed", e)
}
}
@@ -206,7 +239,7 @@ private[spark] class TachyonBlockManager() extends ExternalBlockManager with Log
Utils.deleteRecursively(tachyonDir, client)
}
} catch {
- case e: Exception =>
+ case NonFatal(e) =>
logError("Exception while deleting tachyon spark dir: " + tachyonDir, e)
}
}
diff --git a/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala b/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
index dfd6fdb5e9993..06e616220c706 100644
--- a/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/JettyUtils.scala
@@ -78,6 +78,9 @@ private[spark] object JettyUtils extends Logging {
} catch {
case e: IllegalArgumentException =>
response.sendError(HttpServletResponse.SC_BAD_REQUEST, e.getMessage)
+ case e: Exception =>
+ logWarning(s"GET ${request.getRequestURI} failed: $e", e)
+ throw e
}
}
// SPARK-5983 ensure TRACE is not supported
@@ -217,6 +220,9 @@ private[spark] object JettyUtils extends Logging {
val pool = new QueuedThreadPool
pool.setDaemon(true)
server.setThreadPool(pool)
+ val errorHandler = new ErrorHandler()
+ errorHandler.setShowStacks(true)
+ server.addBean(errorHandler)
server.setHandler(collection)
try {
server.start()
diff --git a/core/src/main/scala/org/apache/spark/ui/SparkUI.scala b/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
index a5271f0574e6c..0b11e914bb251 100644
--- a/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/SparkUI.scala
@@ -17,6 +17,10 @@
package org.apache.spark.ui
+import java.util.Date
+
+import org.apache.spark.status.api.v1.{ApiRootResource, ApplicationAttemptInfo, ApplicationInfo,
+ UIRoot}
import org.apache.spark.{Logging, SecurityManager, SparkConf, SparkContext}
import org.apache.spark.scheduler._
import org.apache.spark.storage.StorageStatusListener
@@ -33,7 +37,7 @@ import org.apache.spark.ui.scope.RDDOperationGraphListener
private[spark] class SparkUI private (
val sc: Option[SparkContext],
val conf: SparkConf,
- val securityManager: SecurityManager,
+ securityManager: SecurityManager,
val environmentListener: EnvironmentListener,
val storageStatusListener: StorageStatusListener,
val executorsListener: ExecutorsListener,
@@ -41,22 +45,27 @@ private[spark] class SparkUI private (
val storageListener: StorageListener,
val operationGraphListener: RDDOperationGraphListener,
var appName: String,
- val basePath: String)
+ val basePath: String,
+ val startTime: Long)
extends WebUI(securityManager, SparkUI.getUIPort(conf), conf, basePath, "SparkUI")
- with Logging {
+ with Logging
+ with UIRoot {
val killEnabled = sc.map(_.conf.getBoolean("spark.ui.killEnabled", true)).getOrElse(false)
+
+ val stagesTab = new StagesTab(this)
+
/** Initialize all components of the server. */
def initialize() {
attachTab(new JobsTab(this))
- val stagesTab = new StagesTab(this)
attachTab(stagesTab)
attachTab(new StorageTab(this))
attachTab(new EnvironmentTab(this))
attachTab(new ExecutorsTab(this))
attachHandler(createStaticHandler(SparkUI.STATIC_RESOURCE_DIR, "/static"))
attachHandler(createRedirectHandler("/", "/jobs", basePath = basePath))
+ attachHandler(ApiRootResource.getServletHandler(this))
// This should be POST only, but, the YARN AM proxy won't proxy POSTs
attachHandler(createRedirectHandler(
"/stages/stage/kill", "/stages", stagesTab.handleKillRequest,
@@ -83,6 +92,24 @@ private[spark] class SparkUI private (
private[spark] def appUIHostPort = publicHostName + ":" + boundPort
private[spark] def appUIAddress = s"http://$appUIHostPort"
+
+ def getSparkUI(appId: String): Option[SparkUI] = {
+ if (appId == appName) Some(this) else None
+ }
+
+ def getApplicationInfoList: Iterator[ApplicationInfo] = {
+ Iterator(new ApplicationInfo(
+ id = appName,
+ name = appName,
+ attempts = Seq(new ApplicationAttemptInfo(
+ attemptId = None,
+ startTime = new Date(startTime),
+ endTime = new Date(-1),
+ sparkUser = "",
+ completed = false
+ ))
+ ))
+ }
}
private[spark] abstract class SparkUITab(parent: SparkUI, prefix: String)
@@ -109,9 +136,10 @@ private[spark] object SparkUI {
listenerBus: SparkListenerBus,
jobProgressListener: JobProgressListener,
securityManager: SecurityManager,
- appName: String): SparkUI = {
+ appName: String,
+ startTime: Long): SparkUI = {
create(Some(sc), conf, listenerBus, securityManager, appName,
- jobProgressListener = Some(jobProgressListener))
+ jobProgressListener = Some(jobProgressListener), startTime = startTime)
}
def createHistoryUI(
@@ -119,8 +147,9 @@ private[spark] object SparkUI {
listenerBus: SparkListenerBus,
securityManager: SecurityManager,
appName: String,
- basePath: String): SparkUI = {
- create(None, conf, listenerBus, securityManager, appName, basePath)
+ basePath: String,
+ startTime: Long): SparkUI = {
+ create(None, conf, listenerBus, securityManager, appName, basePath, startTime = startTime)
}
/**
@@ -137,7 +166,8 @@ private[spark] object SparkUI {
securityManager: SecurityManager,
appName: String,
basePath: String = "",
- jobProgressListener: Option[JobProgressListener] = None): SparkUI = {
+ jobProgressListener: Option[JobProgressListener] = None,
+ startTime: Long): SparkUI = {
val _jobProgressListener: JobProgressListener = jobProgressListener.getOrElse {
val listener = new JobProgressListener(conf)
@@ -159,6 +189,6 @@ private[spark] object SparkUI {
new SparkUI(sc, conf, securityManager, environmentListener, storageStatusListener,
executorsListener, _jobProgressListener, storageListener, operationGraphListener,
- appName, basePath)
+ appName, basePath, startTime)
}
}
diff --git a/core/src/main/scala/org/apache/spark/ui/ToolTips.scala b/core/src/main/scala/org/apache/spark/ui/ToolTips.scala
index 24f3236456248..063e2a1f8b18e 100644
--- a/core/src/main/scala/org/apache/spark/ui/ToolTips.scala
+++ b/core/src/main/scala/org/apache/spark/ui/ToolTips.scala
@@ -57,4 +57,23 @@ private[spark] object ToolTips {
val GC_TIME =
"""Time that the executor spent paused for Java garbage collection while the task was
running."""
+
+ val JOB_TIMELINE =
+ """Shows when jobs started and ended and when executors joined or left. Drag to scroll.
+ Click Enable Zooming and use mouse wheel to zoom in/out."""
+
+ val STAGE_TIMELINE =
+ """Shows when stages started and ended and when executors joined or left. Drag to scroll.
+ Click Enable Zooming and use mouse wheel to zoom in/out."""
+
+ val JOB_DAG =
+ """Shows a graph of stages executed for this job, each of which can contain
+ multiple RDD operations (e.g. map() and filter()), and of RDDs inside each operation
+ (shown as dots)."""
+
+ val STAGE_DAG =
+ """Shows a graph of RDD operations in this stage, and RDDs inside each one. A stage can run
+ multiple operations (e.g. two map() functions) if they can be pipelined. Some operations
+ also create multiple RDDs internally. Cached RDDs are shown in green.
+ """
}
diff --git a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
index e2d03f8342315..6194c50ec8c7c 100644
--- a/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
+++ b/core/src/main/scala/org/apache/spark/ui/UIUtils.scala
@@ -20,7 +20,7 @@ package org.apache.spark.ui
import java.text.SimpleDateFormat
import java.util.{Locale, Date}
-import scala.xml.{Node, Text}
+import scala.xml.{Node, Text, Unparsed}
import org.apache.spark.Logging
import org.apache.spark.ui.scope.RDDOperationGraph
@@ -156,10 +156,10 @@ private[spark] object UIUtils extends Logging {
def commonHeaderNodes: Seq[Node] = {
{tab.name}
}
- val helpButton: Seq[Node] = helpText.map { helpText =>
-
- (? )
-
- }.getOrElse(Seq.empty)
+ val helpButton: Seq[Node] = helpText.map(tooltip(_, "bottom")).getOrElse(Seq.empty)
@@ -250,7 +246,7 @@ private[spark] object UIUtils extends Logging {
{org.apache.spark.SPARK_VERSION}
{title}
@@ -350,14 +346,19 @@ private[spark] object UIUtils extends Logging {
DAG visualization
+
+ DAG Visualization
+
-
+
{
graphs.map { g =>
-
}
+
+ def tooltip(text: String, position: String): Seq[Node] = {
+
+ (? )
+
+ }
+
+ /** Return a script element that automatically expands the DAG visualization on page load. */
+ def expandDagVizOnLoad(forJob: Boolean): Seq[Node] = {
+
+ }
+
}
diff --git a/core/src/main/scala/org/apache/spark/ui/WebUI.scala b/core/src/main/scala/org/apache/spark/ui/WebUI.scala
index f9860d1a5ce76..1df9cd0fa18b4 100644
--- a/core/src/main/scala/org/apache/spark/ui/WebUI.scala
+++ b/core/src/main/scala/org/apache/spark/ui/WebUI.scala
@@ -37,7 +37,7 @@ import org.apache.spark.{Logging, SecurityManager, SparkConf}
* pages. The use of tabs is optional, however; a WebUI may choose to include pages directly.
*/
private[spark] abstract class WebUI(
- securityManager: SecurityManager,
+ val securityManager: SecurityManager,
port: Int,
conf: SparkConf,
basePath: String = "",
@@ -77,15 +77,9 @@ private[spark] abstract class WebUI(
val pagePath = "/" + page.prefix
val renderHandler = createServletHandler(pagePath,
(request: HttpServletRequest) => page.render(request), securityManager, basePath)
- val renderJsonHandler = createServletHandler(pagePath.stripSuffix("/") + "/json",
- (request: HttpServletRequest) => page.renderJson(request), securityManager, basePath)
attachHandler(renderHandler)
- attachHandler(renderJsonHandler)
pageToHandlers.getOrElseUpdate(page, ArrayBuffer[ServletContextHandler]())
.append(renderHandler)
- pageToHandlers.getOrElseUpdate(page, ArrayBuffer[ServletContextHandler]())
- .append(renderJsonHandler)
-
}
/** Attach a handler to this UI. */
@@ -100,7 +94,7 @@ private[spark] abstract class WebUI(
}
/** Detach a handler from this UI. */
- protected def detachHandler(handler: ServletContextHandler) {
+ def detachHandler(handler: ServletContextHandler) {
handlers -= handler
serverInfo.foreach { info =>
info.rootHandler.removeHandler(handler)
diff --git a/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsPage.scala b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsPage.scala
index 956608d7c0cbe..b247e4cdc3bd4 100644
--- a/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsPage.scala
@@ -22,11 +22,11 @@ import javax.servlet.http.HttpServletRequest
import scala.xml.Node
+import org.apache.spark.status.api.v1.ExecutorSummary
import org.apache.spark.ui.{ToolTips, UIUtils, WebUIPage}
import org.apache.spark.util.Utils
-/** Summary information about an executor to display in the UI. */
-// Needs to be private[ui] because of a false positive MiMa failure.
+// This isn't even used anymore -- but we need to keep it b/c of a MiMa false positive
private[ui] case class ExecutorSummaryInfo(
id: String,
hostPort: String,
@@ -44,6 +44,7 @@ private[ui] case class ExecutorSummaryInfo(
maxMemory: Long,
executorLogs: Map[String, String])
+
private[ui] class ExecutorsPage(
parent: ExecutorsTab,
threadDumpEnabled: Boolean)
@@ -55,7 +56,8 @@ private[ui] class ExecutorsPage(
val maxMem = storageStatusList.map(_.maxMem).sum
val memUsed = storageStatusList.map(_.memUsed).sum
val diskUsed = storageStatusList.map(_.diskUsed).sum
- val execInfo = for (statusId <- 0 until storageStatusList.size) yield getExecInfo(statusId)
+ val execInfo = for (statusId <- 0 until storageStatusList.size) yield
+ ExecutorsPage.getExecInfo(listener, statusId)
val execInfoSorted = execInfo.sortBy(_.id)
val logsExist = execInfo.filter(_.executorLogs.nonEmpty).nonEmpty
@@ -111,7 +113,7 @@ private[ui] class ExecutorsPage(
}
/** Render an HTML row representing an executor */
- private def execRow(info: ExecutorSummaryInfo, logsExist: Boolean): Seq[Node] = {
+ private def execRow(info: ExecutorSummary, logsExist: Boolean): Seq[Node] = {
val maximumMemory = info.maxMemory
val memoryUsed = info.memoryUsed
val diskUsed = info.diskUsed
@@ -170,8 +172,11 @@ private[ui] class ExecutorsPage(
}
+}
+
+private[spark] object ExecutorsPage {
/** Represent an executor's info as a map given a storage status index */
- private def getExecInfo(statusId: Int): ExecutorSummaryInfo = {
+ def getExecInfo(listener: ExecutorsListener, statusId: Int): ExecutorSummary = {
val status = listener.storageStatusList(statusId)
val execId = status.blockManagerId.executorId
val hostPort = status.blockManagerId.hostPort
@@ -189,7 +194,7 @@ private[ui] class ExecutorsPage(
val totalShuffleWrite = listener.executorToShuffleWrite.getOrElse(execId, 0L)
val executorLogs = listener.executorToLogUrls.getOrElse(execId, Map.empty)
- new ExecutorSummaryInfo(
+ new ExecutorSummary(
execId,
hostPort,
rddBlocks,
diff --git a/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsTab.scala b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsTab.scala
index 0a08b000e2d03..39583af14390d 100644
--- a/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsTab.scala
+++ b/core/src/main/scala/org/apache/spark/ui/exec/ExecutorsTab.scala
@@ -19,7 +19,7 @@ package org.apache.spark.ui.exec
import scala.collection.mutable.HashMap
-import org.apache.spark.ExceptionFailure
+import org.apache.spark.{ExceptionFailure, SparkContext}
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.scheduler._
import org.apache.spark.storage.{StorageStatus, StorageStatusListener}
@@ -73,6 +73,16 @@ class ExecutorsListener(storageStatusListener: StorageStatusListener) extends Sp
uiData.finishReason = Some(executorRemoved.reason)
}
+ override def onApplicationStart(applicationStart: SparkListenerApplicationStart): Unit = {
+ applicationStart.driverLogs.foreach { logs =>
+ val storageStatus = storageStatusList.find { s =>
+ s.blockManagerId.executorId == SparkContext.LEGACY_DRIVER_IDENTIFIER ||
+ s.blockManagerId.executorId == SparkContext.DRIVER_IDENTIFIER
+ }
+ storageStatus.foreach { s => executorToLogUrls(s.blockManagerId.executorId) = logs.toMap }
+ }
+ }
+
override def onTaskStart(taskStart: SparkListenerTaskStart): Unit = synchronized {
val eid = taskStart.taskInfo.executorId
executorToTasksActive(eid) = executorToTasksActive.getOrElse(eid, 0) + 1
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala
index f6abf27db49dd..e010ebef3b34a 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/AllJobsPage.scala
@@ -18,12 +18,12 @@
package org.apache.spark.ui.jobs
import scala.collection.mutable.{HashMap, ListBuffer}
-import scala.xml.{Node, NodeSeq, Unparsed}
+import scala.xml.{Node, NodeSeq, Unparsed, Utility}
import java.util.Date
import javax.servlet.http.HttpServletRequest
-import org.apache.spark.ui.{UIUtils, WebUIPage}
+import org.apache.spark.ui.{ToolTips, UIUtils, WebUIPage}
import org.apache.spark.ui.jobs.UIData.{ExecutorUIData, JobUIData}
import org.apache.spark.JobExecutionStatus
@@ -81,6 +81,9 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
case JobExecutionStatus.RUNNING => "running"
}
+ // The timeline library treats contents as HTML, so we have to escape them; for the
+ // data-title attribute string we have to escape them twice since that's in a string.
+ val escapedDesc = Utility.escape(displayJobDescription)
val jobEventJsonAsStr =
s"""
|{
@@ -90,16 +93,17 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
| 'end': new Date(${completionTime}),
| 'content': '
' +
+ | 'Status: ${status}
'
+ | '${escapedDesc} (Job ${jobId})
'
|}
""".stripMargin
jobEventJsonAsStr
@@ -179,13 +183,15 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
Event timeline
+
+ Event Timeline
+
++
++
@@ -271,13 +277,19 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
val shouldShowCompletedJobs = completedJobs.nonEmpty
val shouldShowFailedJobs = failedJobs.nonEmpty
+ val completedJobNumStr = if (completedJobs.size == listener.numCompletedJobs) {
+ s"${completedJobs.size}"
+ } else {
+ s"${listener.numCompletedJobs}, only showing ${completedJobs.size}"
+ }
+
val summary: NodeSeq =
{if (parent.sc.isDefined) {
// Total duration is not meaningful unless the UI is live
- Total Duration:
+ Total Uptime:
{UIUtils.formatDuration(System.currentTimeMillis() - startTime)}
}}
@@ -295,9 +307,9 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
}
{
if (shouldShowCompletedJobs) {
-
+
Completed Jobs:
}
}
@@ -305,7 +317,7 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
if (shouldShowFailedJobs) {
Failed Jobs:
}
}
@@ -322,7 +334,7 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
activeJobsTable
}
if (shouldShowCompletedJobs) {
- content ++= Completed Jobs ({completedJobs.size}) ++
+ content ++= Completed Jobs ({completedJobNumStr}) ++
completedJobsTable
}
if (shouldShowFailedJobs) {
@@ -330,9 +342,8 @@ private[ui] class AllJobsPage(parent: JobsTab) extends WebUIPage("") {
failedJobsTable
}
- val helpText = """A job is triggered by an action, like "count()" or "saveAsTextFile()".""" +
- " Click on a job's title to see information about the stages of tasks associated with" +
- " the job."
+ val helpText = """A job is triggered by an action, like count() or saveAsTextFile().""" +
+ " Click on a job to see information about the stages of tasks inside it."
UIUtils.headerSparkPage("Spark Jobs", content, parent, helpText = Some(helpText))
}
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala
index 236bc8ea92879..5e52942b64f3f 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala
@@ -64,22 +64,15 @@ private[ui] class AllStagesPage(parent: StagesTab) extends WebUIPage("") {
val shouldShowCompletedStages = completedStages.nonEmpty
val shouldShowFailedStages = failedStages.nonEmpty
+ val completedStageNumStr = if (numCompletedStages == completedStages.size) {
+ s"$numCompletedStages"
+ } else {
+ s"$numCompletedStages, only showing ${completedStages.size}"
+ }
+
val summary: NodeSeq =
- {
- if (sc.isDefined) {
- // Total duration is not meaningful unless the UI is live
-
- Total Duration:
- {UIUtils.formatDuration(now - sc.get.startTime)}
-
- }
- }
-
- Scheduling Mode:
- {listener.schedulingMode.map(_.toString).getOrElse("Unknown")}
-
{
if (shouldShowActiveStages) {
@@ -98,9 +91,9 @@ private[ui] class AllStagesPage(parent: StagesTab) extends WebUIPage("") {
}
{
if (shouldShowCompletedStages) {
-
+
Completed Stages:
}
}
@@ -132,14 +125,14 @@ private[ui] class AllStagesPage(parent: StagesTab) extends WebUIPage("") {
pendingStagesTable.toNodeSeq
}
if (shouldShowCompletedStages) {
- content ++= Completed Stages ({numCompletedStages}) ++
+ content ++= Completed Stages ({completedStageNumStr}) ++
completedStagesTable.toNodeSeq
}
if (shouldShowFailedStages) {
content ++= Failed Stages ({numFailedStages}) ++
failedStagesTable.toNodeSeq
}
- UIUtils.headerSparkPage("Spark Stages (for all jobs)", content, parent)
+ UIUtils.headerSparkPage("Stages for All Jobs", content, parent)
}
}
}
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/JobPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/JobPage.scala
index 96cc3d78d0f15..2cad0a796913e 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/JobPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/JobPage.scala
@@ -20,13 +20,13 @@ package org.apache.spark.ui.jobs
import java.util.Date
import scala.collection.mutable.{Buffer, HashMap, ListBuffer}
-import scala.xml.{NodeSeq, Node, Unparsed}
+import scala.xml.{NodeSeq, Node, Unparsed, Utility}
import javax.servlet.http.HttpServletRequest
import org.apache.spark.JobExecutionStatus
import org.apache.spark.scheduler.StageInfo
-import org.apache.spark.ui.{UIUtils, WebUIPage}
+import org.apache.spark.ui.{ToolTips, UIUtils, WebUIPage}
import org.apache.spark.ui.jobs.UIData.ExecutorUIData
/** Page showing statistics and stage list for a given job */
@@ -64,6 +64,9 @@ private[ui] class JobPage(parent: JobsTab) extends WebUIPage("job") {
val submissionTime = stage.submissionTime.get
val completionTime = stage.completionTime.getOrElse(System.currentTimeMillis())
+ // The timeline library treats contents as HTML, so we have to escape them; for the
+ // data-title attribute string we have to escape them twice since that's in a string.
+ val escapedName = Utility.escape(name)
s"""
|{
| 'className': 'stage job-timeline-object ${status}',
@@ -72,17 +75,17 @@ private[ui] class JobPage(parent: JobsTab) extends WebUIPage("job") {
| 'end': new Date(${completionTime}),
| 'content': '' +
| 'Status: ${status.toUpperCase}
',
+ | '${escapedName} (Stage ${stageId}.${attemptId}) ',
|}
""".stripMargin
}
@@ -161,13 +164,15 @@ private[ui] class JobPage(parent: JobsTab) extends WebUIPage("job") {
Event timeline
+
+ Event Timeline
+
++
++
@@ -187,7 +192,7 @@ private[ui] class JobPage(parent: JobsTab) extends WebUIPage("job") {
val jobDataOption = listener.jobIdToData.get(jobId)
if (jobDataOption.isEmpty) {
val content =
-
+
No information to display for job {jobId}
return UIUtils.headerSparkPage(
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
index 8f9aa9fdec819..246e191d64776 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala
@@ -74,6 +74,8 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging {
// JobProgressListener's retention limits.
var numCompletedStages = 0
var numFailedStages = 0
+ var numCompletedJobs = 0
+ var numFailedJobs = 0
// Misc:
val executorIdToBlockManagerId = HashMap[ExecutorId, BlockManagerId]()
@@ -217,10 +219,12 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging {
completedJobs += jobData
trimJobsIfNecessary(completedJobs)
jobData.status = JobExecutionStatus.SUCCEEDED
+ numCompletedJobs += 1
case JobFailed(exception) =>
failedJobs += jobData
trimJobsIfNecessary(failedJobs)
jobData.status = JobExecutionStatus.FAILED
+ numFailedJobs += 1
}
for (stageId <- jobData.stageIds) {
stageIdToActiveJobIds.get(stageId).foreach { jobsUsingStage =>
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
index d725b9d8565ac..f3e0b38523f32 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/PoolPage.scala
@@ -21,7 +21,7 @@ import javax.servlet.http.HttpServletRequest
import scala.xml.Node
-import org.apache.spark.scheduler.{Schedulable, StageInfo}
+import org.apache.spark.scheduler.StageInfo
import org.apache.spark.ui.{WebUIPage, UIUtils}
/** Page showing specific pool details */
diff --git a/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala b/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
index 579310070c76c..31e2e7fba9783 100644
--- a/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
+++ b/core/src/main/scala/org/apache/spark/ui/jobs/StagePage.scala
@@ -20,22 +20,52 @@ package org.apache.spark.ui.jobs
import java.util.Date
import javax.servlet.http.HttpServletRequest
+import scala.collection.mutable.HashSet
import scala.xml.{Elem, Node, Unparsed}
import org.apache.commons.lang3.StringEscapeUtils
import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.scheduler.{AccumulableInfo, TaskInfo}
import org.apache.spark.ui.{ToolTips, WebUIPage, UIUtils}
import org.apache.spark.ui.jobs.UIData._
import org.apache.spark.ui.scope.RDDOperationGraph
import org.apache.spark.util.{Utils, Distribution}
-import org.apache.spark.scheduler.{AccumulableInfo, TaskInfo}
/** Page showing statistics and task list for a given stage */
private[ui] class StagePage(parent: StagesTab) extends WebUIPage("stage") {
private val progressListener = parent.progressListener
private val operationGraphListener = parent.operationGraphListener
+ private val TIMELINE_LEGEND = {
+
+
+ {
+ val legendPairs = List(("scheduler-delay-proportion", "Scheduler Delay"),
+ ("deserialization-time-proportion", "Task Deserialization Time"),
+ ("shuffle-read-time-proportion", "Shuffle Read Time"),
+ ("executor-runtime-proportion", "Executor Computing Time"),
+ ("shuffle-write-time-proportion", "Shuffle Write Time"),
+ ("serialization-time-proportion", "Result Serialization TIme"),
+ ("getting-result-time-proportion", "Getting Result Time"))
+
+ legendPairs.zipWithIndex.map {
+ case ((classAttr, name), index) =>
+ {name}
+ }
+ }
+
+
+ }
+
+ // TODO: We should consider increasing the number of this parameter over time
+ // if we find that it's okay.
+ private val MAX_TIMELINE_TASKS = parent.conf.getInt("spark.ui.timeline.tasks.maximum", 1000)
+
+
def render(request: HttpServletRequest): Seq[Node] = {
progressListener.synchronized {
val parameterId = request.getParameter("id")
@@ -44,18 +74,30 @@ private[ui] class StagePage(parent: StagesTab) extends WebUIPage("stage") {
val parameterAttempt = request.getParameter("attempt")
require(parameterAttempt != null && parameterAttempt.nonEmpty, "Missing attempt parameter")
+ // If this is set, expand the dag visualization by default
+ val expandDagVizParam = request.getParameter("expandDagViz")
+ val expandDagViz = expandDagVizParam != null && expandDagVizParam.toBoolean
+
val stageId = parameterId.toInt
val stageAttemptId = parameterAttempt.toInt
val stageDataOption = progressListener.stageIdToData.get((stageId, stageAttemptId))
- if (stageDataOption.isEmpty || stageDataOption.get.taskData.isEmpty) {
+ val stageHeader = s"Details for Stage $stageId (Attempt $stageAttemptId)"
+ if (stageDataOption.isEmpty) {
+ val content =
+
+
No information to display for Stage {stageId} (Attempt {stageAttemptId})
+
+ return UIUtils.headerSparkPage(stageHeader, content, parent)
+
+ }
+ if (stageDataOption.get.taskData.isEmpty) {
val content =
Summary Metrics No tasks have started yet
Tasks No tasks have started yet
- return UIUtils.headerSparkPage(
- s"Details for Stage $stageId (Attempt $stageAttemptId)", content, parent)
+ return UIUtils.headerSparkPage(stageHeader, content, parent)
}
val stageData = stageDataOption.get
@@ -69,7 +111,7 @@ private[ui] class StagePage(parent: StagesTab) extends WebUIPage("stage") {
- Total task time across all tasks:
+ Total Time Across All Tasks:
{UIUtils.formatDuration(stageData.executorRunTime)}
{if (stageData.hasInput) {
@@ -86,25 +128,25 @@ private[ui] class StagePage(parent: StagesTab) extends WebUIPage("stage") {
}}
{if (stageData.hasShuffleRead) {
- Shuffle read:
+ Shuffle Read:
{s"${Utils.bytesToString(stageData.shuffleReadTotalBytes)} / " +
s"${stageData.shuffleReadRecords}"}
}}
{if (stageData.hasShuffleWrite) {
- Shuffle write:
+ Shuffle Write:
{s"${Utils.bytesToString(stageData.shuffleWriteBytes)} / " +
s"${stageData.shuffleWriteRecords}"}
}}
{if (stageData.hasBytesSpilled) {
- Shuffle spill (memory):
+ Shuffle Spill (Memory):
{Utils.bytesToString(stageData.memoryBytesSpilled)}
- Shuffle spill (disk):
+ Shuffle Spill (Disk):
{Utils.bytesToString(stageData.diskBytesSpilled)}
}}
@@ -115,10 +157,10 @@ private[ui] class StagePage(parent: StagesTab) extends WebUIPage("stage") {