From dc65c9811605dc3d7da285e1e834feee7ed542dd Mon Sep 17 00:00:00 2001 From: xuchuanyin Date: Sat, 30 Jun 2018 17:10:04 +0800 Subject: [PATCH] Fix bugs for deferred rebuild for bloomfilter datamap Previously when we implement ISSUE-2633, deferred rebuild for bloom datamap is disabled for bloomfilter adtamap due to unhandled bugs. In this commit, we fixed the bugs and brought this feature back. Methods are extracted to reduce duplicate codes. --- .../core/datamap/dev/DataMapBuilder.java | 4 + .../collector/ResultCollectorFactory.java | 4 + .../impl/RowIdRawBasedResultCollector.java | 172 ++++++++++ .../bloom/AbstractBloomDataMapWriter.java | 287 ++++++++++++++++ .../datamap/bloom/BloomDataMapBuilder.java | 33 +- .../datamap/bloom/BloomDataMapWriter.java | 251 +------------- .../datamap/lucene/LuceneDataMapBuilder.java | 4 + .../datamap/IndexDataMapRebuildRDD.scala | 152 +++++++-- ...BloomCoarseGrainDataMapFunctionSuite.scala | 305 ++++++++++++++++++ .../bloom/BloomCoarseGrainDataMapSuite.scala | 6 +- 10 files changed, 929 insertions(+), 289 deletions(-) create mode 100644 core/src/main/java/org/apache/carbondata/core/scan/collector/impl/RowIdRawBasedResultCollector.java create mode 100644 datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/AbstractBloomDataMapWriter.java diff --git a/core/src/main/java/org/apache/carbondata/core/datamap/dev/DataMapBuilder.java b/core/src/main/java/org/apache/carbondata/core/datamap/dev/DataMapBuilder.java index 570a1ce7d15..c96d4a009f4 100644 --- a/core/src/main/java/org/apache/carbondata/core/datamap/dev/DataMapBuilder.java +++ b/core/src/main/java/org/apache/carbondata/core/datamap/dev/DataMapBuilder.java @@ -35,4 +35,8 @@ public interface DataMapBuilder { void finish() throws IOException; void close() throws IOException; + /** + * whether create index on internal carbon bytes (such as dictionary encoded) or original value + */ + boolean isIndexForCarbonRawBytes(); } diff --git a/core/src/main/java/org/apache/carbondata/core/scan/collector/ResultCollectorFactory.java b/core/src/main/java/org/apache/carbondata/core/scan/collector/ResultCollectorFactory.java index 0b1dde512f3..8902fc24b89 100644 --- a/core/src/main/java/org/apache/carbondata/core/scan/collector/ResultCollectorFactory.java +++ b/core/src/main/java/org/apache/carbondata/core/scan/collector/ResultCollectorFactory.java @@ -26,6 +26,7 @@ import org.apache.carbondata.core.scan.collector.impl.RestructureBasedRawResultCollector; import org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector; import org.apache.carbondata.core.scan.collector.impl.RowIdBasedResultCollector; +import org.apache.carbondata.core.scan.collector.impl.RowIdRawBasedResultCollector; import org.apache.carbondata.core.scan.executor.infos.BlockExecutionInfo; /** @@ -52,6 +53,9 @@ public static AbstractScannedResultCollector getScannedResultCollector( if (blockExecutionInfo.isRestructuredBlock()) { LOGGER.info("Restructure based raw collector is used to scan and collect the data"); scannerResultAggregator = new RestructureBasedRawResultCollector(blockExecutionInfo); + } else if (blockExecutionInfo.isRequiredRowId()) { + LOGGER.info("RowId based raw collector is used to scan and collect the data"); + scannerResultAggregator = new RowIdRawBasedResultCollector(blockExecutionInfo); } else { LOGGER.info("Row based raw collector is used to scan and collect the data"); scannerResultAggregator = new RawBasedResultCollector(blockExecutionInfo); diff --git a/core/src/main/java/org/apache/carbondata/core/scan/collector/impl/RowIdRawBasedResultCollector.java b/core/src/main/java/org/apache/carbondata/core/scan/collector/impl/RowIdRawBasedResultCollector.java new file mode 100644 index 00000000000..a68265d5902 --- /dev/null +++ b/core/src/main/java/org/apache/carbondata/core/scan/collector/impl/RowIdRawBasedResultCollector.java @@ -0,0 +1,172 @@ +/* + * 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.carbondata.core.scan.collector.impl; + +import java.nio.charset.Charset; +import java.util.ArrayList; +import java.util.List; + +import org.apache.carbondata.common.annotations.InterfaceAudience; +import org.apache.carbondata.core.constants.CarbonCommonConstants; +import org.apache.carbondata.core.scan.executor.infos.BlockExecutionInfo; +import org.apache.carbondata.core.scan.model.ProjectionMeasure; +import org.apache.carbondata.core.scan.result.BlockletScannedResult; +import org.apache.carbondata.core.scan.wrappers.ByteArrayWrapper; +import org.apache.carbondata.core.stats.QueryStatistic; +import org.apache.carbondata.core.stats.QueryStatisticsConstants; + +/** + * It is not a collector it is just a scanned result holder. + * most of the lines are copyied from `RawBasedResultCollector`, the difference in function is that + * this class return all the dimensions in a ByteArrayWrapper and append blockletNo/PageId/RowId at + * end of the row. + * This implementation refers to `RawBasedResultCollector` and `RowIdBaedResultCollector` + */ +@InterfaceAudience.Internal +public class RowIdRawBasedResultCollector extends AbstractScannedResultCollector { + + public RowIdRawBasedResultCollector(BlockExecutionInfo blockExecutionInfos) { + super(blockExecutionInfos); + } + + /** + * This method will add a record both key and value to list object + * it will keep track of how many record is processed, to handle limit scenario + */ + @Override + public List collectResultInRow(BlockletScannedResult scannedResult, + int batchSize) { + long startTime = System.currentTimeMillis(); + List listBasedResult = new ArrayList<>(batchSize); + ProjectionMeasure[] queryMeasures = executionInfo.getProjectionMeasures(); + // scan the record and add to list + scanAndFillData(scannedResult, batchSize, listBasedResult, queryMeasures); + QueryStatistic resultPrepTime = queryStatisticsModel.getStatisticsTypeAndObjMap() + .get(QueryStatisticsConstants.RESULT_PREP_TIME); + resultPrepTime.addCountStatistic(QueryStatisticsConstants.RESULT_PREP_TIME, + resultPrepTime.getCount() + (System.currentTimeMillis() - startTime)); + return listBasedResult; + } + + /** + * This method will scan and fill dimension and measure data + * + * @param scannedResult + * @param batchSize + * @param listBasedResult + * @param queryMeasures + */ + protected void scanAndFillData(BlockletScannedResult scannedResult, int batchSize, + List listBasedResult, ProjectionMeasure[] queryMeasures) { + int numberOfPages = scannedResult.numberOfpages(); + // loop will exit once the batchSize data has been read or the pages have been exhausted + while (scannedResult.getCurrentPageCounter() < numberOfPages) { + int currentPageRowCount = scannedResult.getCurrentPageRowCount(); + if (currentPageRowCount == 0) { + scannedResult.incrementPageCounter(); + continue; + } + int rowCounter = scannedResult.getRowCounter(); + // getRowCounter holds total number rows processed. Calculate the + // Left over space through getRowCounter only. + int availableRows = currentPageRowCount - rowCounter; + // rows available in current page that can be processed from current page + int availableBatchRowCount = Math.min(batchSize, availableRows); + // this condition will be true if no data left in the current block/blocklet to be scanned + if (availableBatchRowCount < 1) { + break; + } + if (batchSize > availableRows) { + batchSize = batchSize - availableRows; + } else { + // this is done because in IUD cases actuals rows fetch can be less than batch size as + // some of the rows could have deleted. So in those cases batchSize need to be + // re initialized with left over value + batchSize = 0; + } + // for every iteration of available rows filling newly created list of Object[] and add it to + // the final list so there is no mismatch in the counter while filling dimension and + // measure data + List collectedData = new ArrayList<>(availableBatchRowCount); + // fill dimension data + fillDimensionData(scannedResult, collectedData, queryMeasures, availableBatchRowCount); + fillMeasureData(scannedResult, collectedData); + // increment the number of rows scanned in scanned result statistics + // incrementScannedResultRowCounter(scannedResult, availableBatchRowCount); + // assign the left over rows to batch size if the number of rows fetched are lesser + // than batchSize + if (collectedData.size() < availableBatchRowCount) { + batchSize += availableBatchRowCount - listBasedResult.size(); + } + // add the collected data to the final list + listBasedResult.addAll(collectedData); + } + } + + private void fillDimensionData(BlockletScannedResult scannedResult, + List listBasedResult, ProjectionMeasure[] queryMeasures, int batchSize) { + long startTime = System.currentTimeMillis(); + List dictionaryKeyArrayBatch = scannedResult.getDictionaryKeyArrayBatch(batchSize); + List noDictionaryKeyArrayBatch = + scannedResult.getNoDictionaryKeyArrayBatch(batchSize); + List complexTypeKeyArrayBatch = scannedResult.getComplexTypeKeyArrayBatch(batchSize); + // it will same for one blocklet so can be computed only once + byte[] implicitColumnByteArray = scannedResult.getBlockletId() + .getBytes(Charset.forName(CarbonCommonConstants.DEFAULT_CHARSET)); + // Note: size check in for loop is for dictionaryKeyArrayBatch as this size can be lesser than + // batch size in case of IUD scenarios + for (int i = 0; i < dictionaryKeyArrayBatch.size(); i++) { + // 1 for ByteArrayWrapper object which will contain dictionary and no dictionary data + // 3 for blockletId, pageId, rowId + Object[] row = new Object[1 + queryMeasures.length + 3]; + scannedResult.incrementCounter(); + row[1 + queryMeasures.length] = scannedResult.getBlockletNumber(); + row[1 + queryMeasures.length + 1] = scannedResult.getCurrentPageCounter(); + ByteArrayWrapper wrapper = new ByteArrayWrapper(); + wrapper.setDictionaryKey(dictionaryKeyArrayBatch.get(i)); + wrapper.setNoDictionaryKeys(noDictionaryKeyArrayBatch.get(i)); + wrapper.setComplexTypesKeys(complexTypeKeyArrayBatch.get(i)); + wrapper.setImplicitColumnByteArray(implicitColumnByteArray); + row[0] = wrapper; + row[1 + queryMeasures.length + 2] = scannedResult.getCurrentRowId(); + listBasedResult.add(row); + } + QueryStatistic keyColumnFillingTime = queryStatisticsModel.getStatisticsTypeAndObjMap() + .get(QueryStatisticsConstants.KEY_COLUMN_FILLING_TIME); + keyColumnFillingTime.addCountStatistic(QueryStatisticsConstants.KEY_COLUMN_FILLING_TIME, + keyColumnFillingTime.getCount() + (System.currentTimeMillis() - startTime)); + } + + private void fillMeasureData(BlockletScannedResult scannedResult, + List listBasedResult) { + long startTime = System.currentTimeMillis(); + // if list is not empty after filling the dimension data then only fill the measure data + if (!listBasedResult.isEmpty()) { + fillMeasureDataBatch(listBasedResult, 1, scannedResult); + } + QueryStatistic measureFillingTime = queryStatisticsModel.getStatisticsTypeAndObjMap() + .get(QueryStatisticsConstants.MEASURE_FILLING_TIME); + measureFillingTime.addCountStatistic(QueryStatisticsConstants.MEASURE_FILLING_TIME, + measureFillingTime.getCount() + (System.currentTimeMillis() - startTime)); + } + + private void incrementScannedResultRowCounter(BlockletScannedResult scannedResult, + int batchSize) { + // increment row counter by batch size as those many number of rows have been processed at once + scannedResult.incrementCounter(batchSize); + } +} diff --git a/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/AbstractBloomDataMapWriter.java b/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/AbstractBloomDataMapWriter.java new file mode 100644 index 00000000000..b363ae39a75 --- /dev/null +++ b/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/AbstractBloomDataMapWriter.java @@ -0,0 +1,287 @@ +/* + * 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.carbondata.datamap.bloom; + +import java.io.DataOutputStream; +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +import org.apache.carbondata.common.annotations.InterfaceAudience; +import org.apache.carbondata.common.logging.LogService; +import org.apache.carbondata.common.logging.LogServiceFactory; +import org.apache.carbondata.core.constants.CarbonCommonConstants; +import org.apache.carbondata.core.datamap.Segment; +import org.apache.carbondata.core.datamap.dev.DataMapWriter; +import org.apache.carbondata.core.datastore.block.SegmentProperties; +import org.apache.carbondata.core.datastore.impl.FileFactory; +import org.apache.carbondata.core.datastore.page.ColumnPage; +import org.apache.carbondata.core.keygenerator.KeyGenerator; +import org.apache.carbondata.core.keygenerator.columnar.ColumnarSplitter; +import org.apache.carbondata.core.metadata.datatype.DataTypes; +import org.apache.carbondata.core.metadata.encoder.Encoding; +import org.apache.carbondata.core.metadata.schema.table.column.CarbonColumn; +import org.apache.carbondata.core.metadata.schema.table.column.CarbonDimension; +import org.apache.carbondata.core.util.CarbonUtil; + +import org.apache.commons.collections.CollectionUtils; +import org.apache.commons.collections.Predicate; +import org.apache.hadoop.util.bloom.CarbonBloomFilter; +import org.apache.hadoop.util.bloom.Key; +import org.apache.hadoop.util.hash.Hash; + +@InterfaceAudience.Internal +public abstract class AbstractBloomDataMapWriter extends DataMapWriter { + private static final LogService LOG = LogServiceFactory.getLogService( + BloomDataMapWriter.class.getCanonicalName()); + private int bloomFilterSize; + private double bloomFilterFpp; + private boolean compressBloom; + protected int currentBlockletId; + private List currentDMFiles; + private List currentDataOutStreams; + protected List indexBloomFilters; + private KeyGenerator keyGenerator; + private ColumnarSplitter columnarSplitter; + // for the dict/sort/date column, they are encoded in MDK, + // this maps the index column name to the index in MDK + private Map indexCol2MdkIdx; + // this gives the reverse map to indexCol2MdkIdx + private Map mdkIdx2IndexCol; + + AbstractBloomDataMapWriter(String tablePath, String dataMapName, List indexColumns, + Segment segment, String shardName, SegmentProperties segmentProperties, + int bloomFilterSize, double bloomFilterFpp, boolean compressBloom) + throws IOException { + super(tablePath, dataMapName, indexColumns, segment, shardName); + this.bloomFilterSize = bloomFilterSize; + this.bloomFilterFpp = bloomFilterFpp; + this.compressBloom = compressBloom; + currentDMFiles = new ArrayList<>(indexColumns.size()); + currentDataOutStreams = new ArrayList<>(indexColumns.size()); + indexBloomFilters = new ArrayList<>(indexColumns.size()); + initDataMapFile(); + resetBloomFilters(); + + keyGenerator = segmentProperties.getDimensionKeyGenerator(); + columnarSplitter = segmentProperties.getFixedLengthKeySplitter(); + this.indexCol2MdkIdx = new HashMap<>(); + this.mdkIdx2IndexCol = new HashMap<>(); + int idx = 0; + for (final CarbonDimension dimension : segmentProperties.getDimensions()) { + if (!dimension.isGlobalDictionaryEncoding() && !dimension.isDirectDictionaryEncoding()) { + continue; + } + boolean isExistInIndex = CollectionUtils.exists(indexColumns, new Predicate() { + @Override public boolean evaluate(Object object) { + return ((CarbonColumn) object).getColName().equalsIgnoreCase(dimension.getColName()); + } + }); + if (isExistInIndex) { + this.indexCol2MdkIdx.put(dimension.getColName(), idx); + this.mdkIdx2IndexCol.put(idx, dimension.getColName()); + } + idx++; + } + } + + @Override + public void onBlockStart(String blockId) throws IOException { + } + + @Override + public void onBlockEnd(String blockId) throws IOException { + } + + @Override + public void onBlockletStart(int blockletId) { + } + + protected void resetBloomFilters() { + indexBloomFilters.clear(); + List indexColumns = getIndexColumns(); + int[] stats = calculateBloomStats(); + for (int i = 0; i < indexColumns.size(); i++) { + indexBloomFilters + .add(new CarbonBloomFilter(stats[0], stats[1], Hash.MURMUR_HASH, compressBloom)); + } + } + + /** + * It calculates the bits size and number of hash functions to calculate bloom. + */ + private int[] calculateBloomStats() { + /* + * n: how many items you expect to have in your filter + * p: your acceptable false positive rate + * Number of bits (m) = -n*ln(p) / (ln(2)^2) + * Number of hashes(k) = m/n * ln(2) + */ + double sizeinBits = -bloomFilterSize * Math.log(bloomFilterFpp) / (Math.pow(Math.log(2), 2)); + double numberOfHashes = sizeinBits / bloomFilterSize * Math.log(2); + int[] stats = new int[2]; + stats[0] = (int) Math.ceil(sizeinBits); + stats[1] = (int) Math.ceil(numberOfHashes); + return stats; + } + + @Override + public void onBlockletEnd(int blockletId) { + writeBloomDataMapFile(); + currentBlockletId++; + } + + @Override + public void onPageAdded(int blockletId, int pageId, int pageSize, ColumnPage[] pages) + throws IOException { + for (int rowId = 0; rowId < pageSize; rowId++) { + // for each indexed column, add the data to index + for (int i = 0; i < indexColumns.size(); i++) { + Object data = pages[i].getData(rowId); + addValue2BloomIndex(i, data); + } + } + } + + protected void addValue2BloomIndex(int indexColIdx, Object value) { + byte[] indexValue; + // convert measure to bytes + // convert non-dict dimensions to simple bytes without length + // convert internal-dict dimensions to simple bytes without any encode + if (indexColumns.get(indexColIdx).isMeasure()) { + if (value == null) { + value = DataConvertUtil.getNullValueForMeasure(indexColumns.get(indexColIdx).getDataType()); + } + indexValue = CarbonUtil.getValueAsBytes(indexColumns.get(indexColIdx).getDataType(), value); + } else { + if (indexColumns.get(indexColIdx).hasEncoding(Encoding.DICTIONARY) + || indexColumns.get(indexColIdx).hasEncoding(Encoding.DIRECT_DICTIONARY)) { + indexValue = convertDictionaryValue(indexColIdx, (byte[]) value); + } else { + indexValue = convertNonDictionaryValue(indexColIdx, (byte[]) value); + } + } + if (indexValue.length == 0) { + indexValue = CarbonCommonConstants.MEMBER_DEFAULT_VAL_ARRAY; + } + indexBloomFilters.get(indexColIdx).add(new Key(indexValue)); + } + + protected byte[] convertDictionaryValue(int indexColIdx, byte[] value) { + byte[] fakeMdkBytes; + // this means that we need to pad some fake bytes + // to get the whole MDK in corresponding position + if (columnarSplitter.getBlockKeySize().length > indexCol2MdkIdx.size()) { + int totalSize = 0; + for (int size : columnarSplitter.getBlockKeySize()) { + totalSize += size; + } + fakeMdkBytes = new byte[totalSize]; + + // put this bytes to corresponding position + int thisKeyIdx = indexCol2MdkIdx.get(indexColumns.get(indexColIdx).getColName()); + int destPos = 0; + for (int keyIdx = 0; keyIdx < columnarSplitter.getBlockKeySize().length; keyIdx++) { + if (thisKeyIdx == keyIdx) { + System.arraycopy(value, 0, + fakeMdkBytes, destPos, columnarSplitter.getBlockKeySize()[thisKeyIdx]); + break; + } + destPos += columnarSplitter.getBlockKeySize()[keyIdx]; + } + } else { + fakeMdkBytes = value; + } + // for dict columns including dictionary and date columns + // decode value to get the surrogate key + int surrogateKey = (int) keyGenerator.getKey(fakeMdkBytes, + indexCol2MdkIdx.get(indexColumns.get(indexColIdx).getColName())); + // store the dictionary key in bloom + return CarbonUtil.getValueAsBytes(DataTypes.INT, surrogateKey); + } + + protected abstract byte[] convertNonDictionaryValue(int indexColIdx, byte[] value); + + private void initDataMapFile() throws IOException { + if (!FileFactory.isFileExist(dataMapPath)) { + if (!FileFactory.mkdirs(dataMapPath, FileFactory.getFileType(dataMapPath))) { + throw new IOException("Failed to create directory " + dataMapPath); + } + } + List indexColumns = getIndexColumns(); + for (int indexColId = 0; indexColId < indexColumns.size(); indexColId++) { + String dmFile = BloomCoarseGrainDataMap.getBloomIndexFile(dataMapPath, + indexColumns.get(indexColId).getColName()); + DataOutputStream dataOutStream = null; + try { + FileFactory.createNewFile(dmFile, FileFactory.getFileType(dmFile)); + dataOutStream = FileFactory.getDataOutputStream(dmFile, + FileFactory.getFileType(dmFile)); + } catch (IOException e) { + CarbonUtil.closeStreams(dataOutStream); + throw new IOException(e); + } + + this.currentDMFiles.add(dmFile); + this.currentDataOutStreams.add(dataOutStream); + } + } + + protected void writeBloomDataMapFile() { + List indexColumns = getIndexColumns(); + try { + for (int indexColId = 0; indexColId < indexColumns.size(); indexColId++) { + CarbonBloomFilter bloomFilter = indexBloomFilters.get(indexColId); + bloomFilter.setBlockletNo(currentBlockletId); + // only in higher version of guava-bloom-filter, it provides readFrom/writeTo interface. + // In lower version, we use default java serializer to write bloomfilter. + bloomFilter.write(this.currentDataOutStreams.get(indexColId)); + this.currentDataOutStreams.get(indexColId).flush(); + } + } catch (Exception e) { + for (DataOutputStream dataOutputStream : currentDataOutStreams) { + CarbonUtil.closeStreams(dataOutputStream); + } + throw new RuntimeException(e); + } finally { + resetBloomFilters(); + } + } + + @Override + public void finish() throws IOException { + if (!isWritingFinished()) { + if (indexBloomFilters.size() > 0) { + writeBloomDataMapFile(); + } + releaseResouce(); + setWritingFinished(true); + } + } + + protected void releaseResouce() { + List indexColumns = getIndexColumns(); + for (int indexColId = 0; indexColId < indexColumns.size(); indexColId++) { + CarbonUtil.closeStreams( + currentDataOutStreams.get(indexColId)); + } + } + +} diff --git a/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapBuilder.java b/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapBuilder.java index c7e23727804..1ca8d731e23 100644 --- a/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapBuilder.java +++ b/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapBuilder.java @@ -21,30 +21,22 @@ import java.util.List; import org.apache.carbondata.common.annotations.InterfaceAudience; -import org.apache.carbondata.core.constants.CarbonCommonConstants; import org.apache.carbondata.core.datamap.Segment; import org.apache.carbondata.core.datamap.dev.DataMapBuilder; import org.apache.carbondata.core.datastore.block.SegmentProperties; -import org.apache.carbondata.core.metadata.datatype.DataType; -import org.apache.carbondata.core.metadata.datatype.DataTypes; import org.apache.carbondata.core.metadata.schema.table.column.CarbonColumn; -import org.apache.carbondata.core.util.CarbonUtil; - -import org.apache.hadoop.util.bloom.Key; /** * Implementation for BloomFilter DataMap to rebuild the datamap for main table with existing data */ @InterfaceAudience.Internal -public class BloomDataMapBuilder extends BloomDataMapWriter implements DataMapBuilder { +public class BloomDataMapBuilder extends AbstractBloomDataMapWriter implements DataMapBuilder { BloomDataMapBuilder(String tablePath, String dataMapName, List indexColumns, Segment segment, String shardName, SegmentProperties segmentProperties, int bloomFilterSize, double bloomFilterFpp, boolean bloomCompress) throws IOException { super(tablePath, dataMapName, indexColumns, segment, shardName, segmentProperties, bloomFilterSize, bloomFilterFpp, bloomCompress); - throw new RuntimeException( - "Deferred rebuild for bloomfilter datamap is currently not supported"); } @Override @@ -63,22 +55,15 @@ public void addRow(int blockletId, int pageId, int rowId, Object[] values) { List indexColumns = getIndexColumns(); for (int i = 0; i < indexColumns.size(); i++) { Object data = values[i]; - DataType dataType = indexColumns.get(i).getDataType(); - byte[] indexValue; - if (DataTypes.STRING == dataType) { - indexValue = getStringData(data); - } else if (DataTypes.BYTE_ARRAY == dataType) { - byte[] originValue = (byte[]) data; - // String and byte array is LV encoded, L is short type - indexValue = new byte[originValue.length - 2]; - System.arraycopy(originValue, 2, indexValue, 0, originValue.length - 2); - } else { - indexValue = CarbonUtil.getValueAsBytes(dataType, data); - } - indexBloomFilters.get(i).add(new Key(indexValue)); + addValue2BloomIndex(i, data); } } + @Override + protected byte[] convertNonDictionaryValue(int indexColIdx, byte[] value) { + return value; + } + @Override public void finish() throws IOException { super.finish(); @@ -90,7 +75,7 @@ public void close() throws IOException { } @Override - protected byte[] getStringData(Object data) { - return ((String) data).getBytes(CarbonCommonConstants.DEFAULT_CHARSET_CLASS); + public boolean isIndexForCarbonRawBytes() { + return true; } } diff --git a/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapWriter.java b/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapWriter.java index a4ac063ef8a..27697738d85 100644 --- a/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapWriter.java +++ b/datamap/bloom/src/main/java/org/apache/carbondata/datamap/bloom/BloomDataMapWriter.java @@ -16,36 +16,14 @@ */ package org.apache.carbondata.datamap.bloom; -import java.io.DataOutputStream; import java.io.IOException; -import java.util.ArrayList; -import java.util.HashMap; import java.util.List; -import java.util.Map; import org.apache.carbondata.common.annotations.InterfaceAudience; -import org.apache.carbondata.common.logging.LogService; -import org.apache.carbondata.common.logging.LogServiceFactory; -import org.apache.carbondata.core.constants.CarbonCommonConstants; import org.apache.carbondata.core.datamap.Segment; -import org.apache.carbondata.core.datamap.dev.DataMapWriter; import org.apache.carbondata.core.datastore.block.SegmentProperties; -import org.apache.carbondata.core.datastore.impl.FileFactory; -import org.apache.carbondata.core.datastore.page.ColumnPage; -import org.apache.carbondata.core.keygenerator.KeyGenerator; -import org.apache.carbondata.core.keygenerator.columnar.ColumnarSplitter; -import org.apache.carbondata.core.metadata.datatype.DataType; import org.apache.carbondata.core.metadata.datatype.DataTypes; -import org.apache.carbondata.core.metadata.encoder.Encoding; import org.apache.carbondata.core.metadata.schema.table.column.CarbonColumn; -import org.apache.carbondata.core.metadata.schema.table.column.CarbonDimension; -import org.apache.carbondata.core.util.CarbonUtil; - -import org.apache.commons.collections.CollectionUtils; -import org.apache.commons.collections.Predicate; -import org.apache.hadoop.util.bloom.CarbonBloomFilter; -import org.apache.hadoop.util.bloom.Key; -import org.apache.hadoop.util.hash.Hash; /** * BloomDataMap is constructed in CG level (blocklet level). @@ -55,234 +33,21 @@ * of bloom index file will be equal to that of the blocks. */ @InterfaceAudience.Internal -public class BloomDataMapWriter extends DataMapWriter { - private static final LogService LOG = LogServiceFactory.getLogService( - BloomDataMapWriter.class.getCanonicalName()); - private int bloomFilterSize; - private double bloomFilterFpp; - private boolean compressBloom; - protected int currentBlockletId; - private List currentDMFiles; - private List currentDataOutStreams; - protected List indexBloomFilters; - private KeyGenerator keyGenerator; - private ColumnarSplitter columnarSplitter; - // for the dict/sort/date column, they are encoded in MDK, - // this maps the index column name to the index in MDK - private Map indexCol2MdkIdx; - // this gives the reverse map to indexCol2MdkIdx - private Map mdkIdx2IndexCol; +public class BloomDataMapWriter extends AbstractBloomDataMapWriter { BloomDataMapWriter(String tablePath, String dataMapName, List indexColumns, Segment segment, String shardName, SegmentProperties segmentProperties, int bloomFilterSize, double bloomFilterFpp, boolean compressBloom) throws IOException { - super(tablePath, dataMapName, indexColumns, segment, shardName); - this.bloomFilterSize = bloomFilterSize; - this.bloomFilterFpp = bloomFilterFpp; - this.compressBloom = compressBloom; - currentDMFiles = new ArrayList<>(indexColumns.size()); - currentDataOutStreams = new ArrayList<>(indexColumns.size()); - indexBloomFilters = new ArrayList<>(indexColumns.size()); - initDataMapFile(); - resetBloomFilters(); - - keyGenerator = segmentProperties.getDimensionKeyGenerator(); - columnarSplitter = segmentProperties.getFixedLengthKeySplitter(); - this.indexCol2MdkIdx = new HashMap<>(); - this.mdkIdx2IndexCol = new HashMap<>(); - int idx = 0; - for (final CarbonDimension dimension : segmentProperties.getDimensions()) { - if (!dimension.isGlobalDictionaryEncoding() && !dimension.isDirectDictionaryEncoding()) { - continue; - } - boolean isExistInIndex = CollectionUtils.exists(indexColumns, new Predicate() { - @Override public boolean evaluate(Object object) { - return ((CarbonColumn) object).getColName().equalsIgnoreCase(dimension.getColName()); - } - }); - if (isExistInIndex) { - this.indexCol2MdkIdx.put(dimension.getColName(), idx); - this.mdkIdx2IndexCol.put(idx, dimension.getColName()); - } - idx++; - } - } - - @Override - public void onBlockStart(String blockId) throws IOException { - } - - @Override - public void onBlockEnd(String blockId) throws IOException { - } - - @Override - public void onBlockletStart(int blockletId) { + super(tablePath, dataMapName, indexColumns, segment, shardName, segmentProperties, + bloomFilterSize, bloomFilterFpp, compressBloom); } - protected void resetBloomFilters() { - indexBloomFilters.clear(); - List indexColumns = getIndexColumns(); - int[] stats = calculateBloomStats(); - for (int i = 0; i < indexColumns.size(); i++) { - indexBloomFilters - .add(new CarbonBloomFilter(stats[0], stats[1], Hash.MURMUR_HASH, compressBloom)); + protected byte[] convertNonDictionaryValue(int indexColIdx, byte[] value) { + if (DataTypes.VARCHAR == indexColumns.get(indexColIdx).getDataType()) { + return DataConvertUtil.getRawBytesForVarchar(value); + } else { + return DataConvertUtil.getRawBytes(value); } } - - /** - * It calculates the bits size and number of hash functions to calculate bloom. - */ - private int[] calculateBloomStats() { - /* - * n: how many items you expect to have in your filter - * p: your acceptable false positive rate - * Number of bits (m) = -n*ln(p) / (ln(2)^2) - * Number of hashes(k) = m/n * ln(2) - */ - double sizeinBits = -bloomFilterSize * Math.log(bloomFilterFpp) / (Math.pow(Math.log(2), 2)); - double numberOfHashes = sizeinBits / bloomFilterSize * Math.log(2); - int[] stats = new int[2]; - stats[0] = (int) Math.ceil(sizeinBits); - stats[1] = (int) Math.ceil(numberOfHashes); - return stats; - } - - @Override - public void onBlockletEnd(int blockletId) { - writeBloomDataMapFile(); - currentBlockletId++; - } - - @Override - public void onPageAdded(int blockletId, int pageId, int pageSize, ColumnPage[] pages) { - for (int rowId = 0; rowId < pageSize; rowId++) { - // for each indexed column, add the data to bloom filter - for (int i = 0; i < indexColumns.size(); i++) { - Object data = pages[i].getData(rowId); - DataType dataType = indexColumns.get(i).getDataType(); - byte[] indexValue; - // convert measure to bytes - // convert non-dict dimensions to simple bytes without length - // convert internal-dict dimensions to simple bytes without any encode - if (indexColumns.get(i).isMeasure()) { - indexValue = CarbonUtil.getValueAsBytes(dataType, data); - } else { - if (indexColumns.get(i).hasEncoding(Encoding.DICTIONARY) - || indexColumns.get(i).hasEncoding(Encoding.DIRECT_DICTIONARY)) { - byte[] mdkBytes; - // this means that we need to pad some fake bytes - // to get the whole MDK in corresponding position - if (columnarSplitter.getBlockKeySize().length > indexCol2MdkIdx.size()) { - int totalSize = 0; - for (int size : columnarSplitter.getBlockKeySize()) { - totalSize += size; - } - mdkBytes = new byte[totalSize]; - int startPos = 0; - int destPos = 0; - for (int keyIdx = 0; keyIdx < columnarSplitter.getBlockKeySize().length; keyIdx++) { - if (mdkIdx2IndexCol.containsKey(keyIdx)) { - int size = columnarSplitter.getBlockKeySize()[keyIdx]; - System.arraycopy(data, startPos, mdkBytes, destPos, size); - startPos += size; - } - destPos += columnarSplitter.getBlockKeySize()[keyIdx]; - } - } else { - mdkBytes = (byte[]) data; - } - // for dict columns including dictionary and date columns - // decode value to get the surrogate key - int surrogateKey = (int) keyGenerator.getKey(mdkBytes, - indexCol2MdkIdx.get(indexColumns.get(i).getColName())); - // store the dictionary key in bloom - indexValue = CarbonUtil.getValueAsBytes(DataTypes.INT, surrogateKey); - } else if (DataTypes.VARCHAR == dataType) { - indexValue = DataConvertUtil.getRawBytesForVarchar((byte[]) data); - } else { - indexValue = DataConvertUtil.getRawBytes((byte[]) data); - } - } - if (indexValue.length == 0) { - indexValue = CarbonCommonConstants.MEMBER_DEFAULT_VAL_ARRAY; - } - indexBloomFilters.get(i).add(new Key(indexValue)); - } - } - } - - protected byte[] getStringData(Object data) { - byte[] lvData = (byte[]) data; - byte[] indexValue = new byte[lvData.length - 2]; - System.arraycopy(lvData, 2, indexValue, 0, lvData.length - 2); - return indexValue; - } - - private void initDataMapFile() throws IOException { - if (!FileFactory.isFileExist(dataMapPath)) { - if (!FileFactory.mkdirs(dataMapPath, FileFactory.getFileType(dataMapPath))) { - throw new IOException("Failed to create directory " + dataMapPath); - } - } - List indexColumns = getIndexColumns(); - for (int indexColId = 0; indexColId < indexColumns.size(); indexColId++) { - String dmFile = BloomCoarseGrainDataMap.getBloomIndexFile(dataMapPath, - indexColumns.get(indexColId).getColName()); - DataOutputStream dataOutStream = null; - try { - FileFactory.createNewFile(dmFile, FileFactory.getFileType(dmFile)); - dataOutStream = FileFactory.getDataOutputStream(dmFile, - FileFactory.getFileType(dmFile)); - } catch (IOException e) { - CarbonUtil.closeStreams(dataOutStream); - throw new IOException(e); - } - - this.currentDMFiles.add(dmFile); - this.currentDataOutStreams.add(dataOutStream); - } - } - - protected void writeBloomDataMapFile() { - List indexColumns = getIndexColumns(); - try { - for (int indexColId = 0; indexColId < indexColumns.size(); indexColId++) { - CarbonBloomFilter bloomFilter = indexBloomFilters.get(indexColId); - bloomFilter.setBlockletNo(currentBlockletId); - // only in higher version of guava-bloom-filter, it provides readFrom/writeTo interface. - // In lower version, we use default java serializer to write bloomfilter. - bloomFilter.write(this.currentDataOutStreams.get(indexColId)); - this.currentDataOutStreams.get(indexColId).flush(); - } - } catch (Exception e) { - for (DataOutputStream dataOutputStream : currentDataOutStreams) { - CarbonUtil.closeStreams(dataOutputStream); - } - throw new RuntimeException(e); - } finally { - resetBloomFilters(); - } - } - - @Override - public void finish() throws IOException { - if (!isWritingFinished()) { - if (indexBloomFilters.size() > 0) { - writeBloomDataMapFile(); - } - releaseResouce(); - setWritingFinished(true); - } - } - - protected void releaseResouce() { - List indexColumns = getIndexColumns(); - for (int indexColId = 0; indexColId < indexColumns.size(); indexColId++) { - CarbonUtil.closeStreams( - currentDataOutStreams.get(indexColId)); - } - } - } diff --git a/datamap/lucene/src/main/java/org/apache/carbondata/datamap/lucene/LuceneDataMapBuilder.java b/datamap/lucene/src/main/java/org/apache/carbondata/datamap/lucene/LuceneDataMapBuilder.java index eb702201362..7081fa480dd 100644 --- a/datamap/lucene/src/main/java/org/apache/carbondata/datamap/lucene/LuceneDataMapBuilder.java +++ b/datamap/lucene/src/main/java/org/apache/carbondata/datamap/lucene/LuceneDataMapBuilder.java @@ -172,4 +172,8 @@ public void close() throws IOException { } } + @Override + public boolean isIndexForCarbonRawBytes() { + return false; + } } diff --git a/integration/spark2/src/main/scala/org/apache/carbondata/datamap/IndexDataMapRebuildRDD.scala b/integration/spark2/src/main/scala/org/apache/carbondata/datamap/IndexDataMapRebuildRDD.scala index c1c20d837a5..05f472fa780 100644 --- a/integration/spark2/src/main/scala/org/apache/carbondata/datamap/IndexDataMapRebuildRDD.scala +++ b/integration/spark2/src/main/scala/org/apache/carbondata/datamap/IndexDataMapRebuildRDD.scala @@ -33,13 +33,17 @@ import org.apache.spark.deploy.SparkHadoopUtil import org.apache.spark.sql.SparkSession import org.apache.carbondata.common.logging.LogServiceFactory -import org.apache.carbondata.core.datamap.{DataMapStoreManager, Segment} import org.apache.carbondata.core.datamap.{DataMapRegistry, DataMapStoreManager, Segment} import org.apache.carbondata.core.datamap.dev.DataMapBuilder +import org.apache.carbondata.core.datastore.block.SegmentProperties import org.apache.carbondata.core.datastore.impl.FileFactory +import org.apache.carbondata.core.indexstore.blockletindex.BlockletDataMapFactory +import org.apache.carbondata.core.indexstore.SegmentPropertiesFetcher +import org.apache.carbondata.core.keygenerator.columnar.ColumnarSplitter import org.apache.carbondata.core.metadata.datatype.{DataType, DataTypes} import org.apache.carbondata.core.metadata.schema.table.{CarbonTable, DataMapSchema, TableInfo} import org.apache.carbondata.core.metadata.schema.table.column.CarbonColumn +import org.apache.carbondata.core.scan.wrappers.ByteArrayWrapper import org.apache.carbondata.core.statusmanager.SegmentStatusManager import org.apache.carbondata.core.util.TaskMetricsMap import org.apache.carbondata.core.util.path.CarbonTablePath @@ -78,7 +82,7 @@ object IndexDataMapRebuildRDD { validSegments.asScala.foreach { segment => // if lucene datamap folder is exists, not require to build lucene datamap again refreshOneSegment(sparkSession, carbonTable, schema.getDataMapName, - indexedCarbonColumns, segment.getSegmentNo); + indexedCarbonColumns, segment); } val buildDataMapPostExecutionEvent = new BuildDataMapPostExecutionEvent(sparkSession, tableIdentifier) @@ -90,10 +94,10 @@ object IndexDataMapRebuildRDD { carbonTable: CarbonTable, dataMapName: String, indexColumns: java.util.List[CarbonColumn], - segmentId: String): Unit = { + segment: Segment): Unit = { - val dataMapStorePath = - CarbonTablePath.getDataMapStorePath(carbonTable.getTablePath, segmentId, dataMapName) + val dataMapStorePath = CarbonTablePath.getDataMapStorePath(carbonTable.getTablePath, + segment.getSegmentNo, dataMapName) if (!FileFactory.isFileExist(dataMapStorePath)) { if (FileFactory.mkdirs(dataMapStorePath, FileFactory.getFileType(dataMapStorePath))) { @@ -104,19 +108,19 @@ object IndexDataMapRebuildRDD { carbonTable.getTableInfo, dataMapName, indexColumns.asScala.toArray, - segmentId + segment ).collect() status.find(_._2 == false).foreach { task => throw new Exception( - s"Task Failed to rebuild datamap $dataMapName on segment_$segmentId") + s"Task Failed to rebuild datamap $dataMapName on segment_${segment.getSegmentNo}") } } catch { case ex: Throwable => // process failure FileFactory.deleteAllCarbonFilesOfDir(FileFactory.getCarbonFile(dataMapStorePath)) throw new Exception( - s"Failed to refresh datamap $dataMapName on segment_$segmentId", ex) + s"Failed to refresh datamap $dataMapName on segment_${segment.getSegmentNo}", ex) } } else { throw new IOException(s"Failed to create directory $dataMapStorePath") @@ -144,13 +148,113 @@ class OriginalReadSupport(dataTypes: Array[DataType]) extends CarbonReadSupport[ } } +/** + * This class will generate row value which is raw bytes for the dimensions. + */ +class RawBytesReadSupport(segmentProperties: SegmentProperties, indexColumns: Array[CarbonColumn]) + extends CarbonReadSupport[Array[Object]] { + var columnarSplitter: ColumnarSplitter = _ + // for the non dictionary dimensions + var indexCol2IdxInNoDictArray: Map[String, Int] = Map() + // for the measures + var indexCol2IdxInMeasureArray: Map[String, Int] = Map() + // for the dictionary/date dimensions + var dictIndexCol2MdkIndex: Map[String, Int] = Map() + var mdkIndex2DictIndexCol: Map[Int, String] = Map() + var existDim = false + + override def initialize(carbonColumns: Array[CarbonColumn], + carbonTable: CarbonTable): Unit = { + this.columnarSplitter = segmentProperties.getFixedLengthKeySplitter + + indexColumns.foreach { col => + if (col.isDimension) { + val dim = carbonTable.getDimensionByName(carbonTable.getTableName, col.getColName) + if (!dim.isGlobalDictionaryEncoding && !dim.isDirectDictionaryEncoding) { + indexCol2IdxInNoDictArray = + indexCol2IdxInNoDictArray + (col.getColName -> indexCol2IdxInNoDictArray.size) + } + } else { + indexCol2IdxInMeasureArray = + indexCol2IdxInMeasureArray + (col.getColName -> indexCol2IdxInMeasureArray.size) + } + } + dictIndexCol2MdkIndex = segmentProperties.getDimensions.asScala + .filter(col => col.isGlobalDictionaryEncoding || col.isDirectDictionaryEncoding) + .map(_.getColName) + .zipWithIndex + .filter(p => indexColumns.exists(c => c.getColName.equalsIgnoreCase(p._1))) + .toMap + mdkIndex2DictIndexCol = dictIndexCol2MdkIndex.map(p => (p._2, p._1)) + existDim = indexCol2IdxInNoDictArray.nonEmpty || dictIndexCol2MdkIndex.nonEmpty + } + + /** + * input: all the dimensions are bundled in one ByteArrayWrapper in position 0, + * then comes the measures one by one; + * output: all the dimensions and measures comes one after another + */ + override def readRow(data: Array[Object]): Array[Object] = { + val dictArray = if (existDim) { + val dictKeys = data(0).asInstanceOf[ByteArrayWrapper].getDictionaryKey + // note that the index column may only contains a portion of all the dict columns, so we + // need to pad fake bytes to dict keys in order to reconstruct value later + if (columnarSplitter.getBlockKeySize.length > dictIndexCol2MdkIndex.size) { + val res = new Array[Byte](columnarSplitter.getBlockKeySize.sum) + var startPos = 0 + var desPos = 0 + columnarSplitter.getBlockKeySize.indices.foreach { idx => + if (mdkIndex2DictIndexCol.contains(idx)) { + val size = columnarSplitter.getBlockKeySize.apply(idx) + System.arraycopy(dictKeys, startPos, res, desPos, size) + startPos += size + } + desPos += columnarSplitter.getBlockKeySize.apply(idx) + } + + Option(res) + } else { + Option(dictKeys) + } + } else { + None + } + + val dictKeys = if (existDim) { + Option(columnarSplitter.splitKey(dictArray.get)) + } else { + None + } + val rtn = new Array[Object](indexColumns.length + 3) + + indexColumns.zipWithIndex.foreach { case (col, i) => + rtn(i) = if (dictIndexCol2MdkIndex.contains(col.getColName)) { + dictKeys.get(dictIndexCol2MdkIndex.get(col.getColName).get) + } else if (indexCol2IdxInNoDictArray.contains(col.getColName)) { + data(0).asInstanceOf[ByteArrayWrapper].getNoDictionaryKeyByIndex( + indexCol2IdxInNoDictArray.apply(col.getColName)) + } else { + // measures start from 1 + data(1 + indexCol2IdxInMeasureArray.apply(col.getColName)) + } + } + rtn(indexColumns.length) = data(data.length - 3) + rtn(indexColumns.length + 1) = data(data.length - 2) + rtn(indexColumns.length + 2) = data(data.length - 1) + rtn + } + + override def close(): Unit = { + } +} + class IndexDataMapRebuildRDD[K, V]( session: SparkSession, result: RefreshResult[K, V], @transient tableInfo: TableInfo, dataMapName: String, indexColumns: Array[CarbonColumn], - segmentId: String + segment: Segment ) extends CarbonRDDWithTableInfo[(K, V)]( session.sparkContext, Nil, tableInfo.serialize()) { @@ -163,9 +267,9 @@ class IndexDataMapRebuildRDD[K, V]( override def internalCompute(split: Partition, context: TaskContext): Iterator[(K, V)] = { val LOGGER = LogServiceFactory.getLogService(this.getClass.getName) - val dataMapFactory = - DataMapManager.get().getDataMapProvider( - CarbonTable.buildFromTableInfo(getTableInfo), dataMapSchema, session).getDataMapFactory + val carbonTable = CarbonTable.buildFromTableInfo(getTableInfo) + val dataMapFactory = DataMapManager.get().getDataMapProvider( + carbonTable, dataMapSchema, session).getDataMapFactory var status = false val inputMetrics = new CarbonInputMetrics TaskMetricsMap.getInstance().registerThreadCallback() @@ -180,21 +284,31 @@ class IndexDataMapRebuildRDD[K, V]( // one query id per table model.setQueryId(queryId) model.setVectorReader(false) - model.setForcedDetailRawQuery(false) model.setRequiredRowId(true) var reader: CarbonRecordReader[Array[Object]] = null var refresher: DataMapBuilder = null try { - reader = new CarbonRecordReader( - model, new OriginalReadSupport(indexColumns.map(_.getDataType)), inputMetrics) - reader.initialize(inputSplit, attemptContext) + val segmentPropertiesFetcher = DataMapStoreManager.getInstance().getDataMap(carbonTable, + BlockletDataMapFactory.DATA_MAP_SCHEMA) + .getDataMapFactory + .asInstanceOf[SegmentPropertiesFetcher] + val segmentProperties = segmentPropertiesFetcher.getSegmentProperties(segment) // we use task name as shard name to create the folder for this datamap val shardName = CarbonTablePath.getShardName(inputSplit.getAllSplits.get(0).getBlockPath) - refresher = dataMapFactory.createBuilder(new Segment(segmentId), shardName, null) + refresher = dataMapFactory.createBuilder(segment, shardName, segmentProperties) refresher.initialize() + model.setForcedDetailRawQuery(refresher.isIndexForCarbonRawBytes) + val readSupport = if (refresher.isIndexForCarbonRawBytes) { + new RawBytesReadSupport(segmentProperties, indexColumns) + } else { + new OriginalReadSupport(indexColumns.map(_.getDataType)) + } + reader = new CarbonRecordReader[Array[Object]](model, readSupport, inputMetrics) + reader.initialize(inputSplit, attemptContext) + var blockletId = 0 var firstRow = true while (reader.nextKeyValue()) { @@ -269,7 +383,7 @@ class IndexDataMapRebuildRDD[K, V]( CarbonInputFormat.setSegmentsToAccess( conf, - Segment.toSegmentList(Array(segmentId), null)) + Segment.toSegmentList(Array(segment.getSegmentNo), null)) CarbonInputFormat.setColumnProjection( conf, @@ -291,7 +405,7 @@ class IndexDataMapRebuildRDD[K, V]( CarbonInputFormat.setSegmentsToAccess( job.getConfiguration, - Segment.toSegmentList(Array(segmentId), null)) + Segment.toSegmentList(Array(segment.getSegmentNo), null)) CarbonInputFormat.setTableInfo( job.getConfiguration, diff --git a/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapFunctionSuite.scala b/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapFunctionSuite.scala index 10895cf539b..f7fc5197707 100644 --- a/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapFunctionSuite.scala +++ b/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapFunctionSuite.scala @@ -453,6 +453,311 @@ class BloomCoarseGrainDataMapFunctionSuite extends QueryTest with BeforeAndAfte sql(s"SELECT * FROM $normalTable WHERE c3 = 'xxx'")) } + test("test rebuild bloom datamap: index column is integer, dictionary, sort_column") { + sql( + s""" + | CREATE TABLE $normalTable(id INT, name STRING, city STRING, age INT, + | s1 STRING, s2 STRING, s3 STRING, s4 STRING, s5 STRING, s6 STRING, s7 STRING, s8 STRING) + | STORED BY 'carbondata' + | TBLPROPERTIES('table_blocksize'='128') + | """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(id INT, name STRING, city STRING, age INT, + | s1 STRING, s2 STRING, s3 STRING, s4 STRING, s5 STRING, s6 STRING, s7 STRING, s8 STRING) + | STORED BY 'carbondata' + | TBLPROPERTIES('table_blocksize'='128', 'dictionary_include'='id, name, s1', 'sort_columns'='id') + | """.stripMargin) + + sql( + s""" + | LOAD DATA LOCAL INPATH '$bigFile' INTO TABLE $normalTable + | OPTIONS('header'='false') + """.stripMargin) + sql( + s""" + | LOAD DATA LOCAL INPATH '$bigFile' INTO TABLE $bloomDMSampleTable + | OPTIONS('header'='false') + """.stripMargin) + + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable + | USING 'bloomfilter' + | DMProperties('INDEX_COLUMNS'='city,id,age,name', 'BLOOM_SIZE'='640000') + """.stripMargin) + + sql(s"SHOW DATAMAP ON TABLE $bloomDMSampleTable").show(false) + checkExistence(sql(s"SHOW DATAMAP ON TABLE $bloomDMSampleTable"), true, dataMapName) + checkBasicQuery(dataMapName, bloomDMSampleTable, normalTable) + sql(s"DROP TABLE IF EXISTS $normalTable") + sql(s"DROP TABLE IF EXISTS $bloomDMSampleTable") + } + + test("test rebuild bloom datamap: index column is integer, dictionary, not sort_column") { + sql( + s""" + | CREATE TABLE $normalTable(id INT, name STRING, city STRING, age INT, + | s1 STRING, s2 STRING, s3 STRING, s4 STRING, s5 STRING, s6 STRING, s7 STRING, s8 STRING) + | STORED BY 'carbondata' + | TBLPROPERTIES('table_blocksize'='128') + | """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(id INT, name STRING, city STRING, age INT, + | s1 STRING, s2 STRING, s3 STRING, s4 STRING, s5 STRING, s6 STRING, s7 STRING, s8 STRING) + | STORED BY 'carbondata' + | TBLPROPERTIES('table_blocksize'='128', 'dictionary_include'='id, name, s1', 'sort_columns'='name') + | """.stripMargin) + + sql( + s""" + | LOAD DATA LOCAL INPATH '$bigFile' INTO TABLE $normalTable + | OPTIONS('header'='false') + """.stripMargin) + sql( + s""" + | LOAD DATA LOCAL INPATH '$bigFile' INTO TABLE $bloomDMSampleTable + | OPTIONS('header'='false') + """.stripMargin) + + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable + | USING 'bloomfilter' + | DMProperties('INDEX_COLUMNS'='city,id,age,name', 'BLOOM_SIZE'='640000') + """.stripMargin) + + sql(s"SHOW DATAMAP ON TABLE $bloomDMSampleTable").show(false) + checkExistence(sql(s"SHOW DATAMAP ON TABLE $bloomDMSampleTable"), true, dataMapName) + checkBasicQuery(dataMapName, bloomDMSampleTable, normalTable) + sql(s"DROP TABLE IF EXISTS $normalTable") + sql(s"DROP TABLE IF EXISTS $bloomDMSampleTable") + } + + test("test rebuild bloom datamap: index column is integer, sort_column") { + sql( + s""" + | CREATE TABLE $normalTable(id INT, name STRING, city STRING, age INT, + | s1 STRING, s2 STRING, s3 STRING, s4 STRING, s5 STRING, s6 STRING, s7 STRING, s8 STRING) + | STORED BY 'carbondata' + | TBLPROPERTIES('table_blocksize'='128') + | """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(id INT, name STRING, city STRING, age INT, + | s1 STRING, s2 STRING, s3 STRING, s4 STRING, s5 STRING, s6 STRING, s7 STRING, s8 STRING) + | STORED BY 'carbondata' + | TBLPROPERTIES('table_blocksize'='128', 'dictionary_include'='name, s1', 'sort_columns'='id') + | """.stripMargin) + + sql( + s""" + | LOAD DATA LOCAL INPATH '$bigFile' INTO TABLE $normalTable + | OPTIONS('header'='false') + """.stripMargin) + sql( + s""" + | LOAD DATA LOCAL INPATH '$bigFile' INTO TABLE $bloomDMSampleTable + | OPTIONS('header'='false') + """.stripMargin) + + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable + | USING 'bloomfilter' + | DMProperties('INDEX_COLUMNS'='city,id,age,name', 'BLOOM_SIZE'='640000') + """.stripMargin) + + sql(s"SHOW DATAMAP ON TABLE $bloomDMSampleTable").show(false) + checkExistence(sql(s"SHOW DATAMAP ON TABLE $bloomDMSampleTable"), true, dataMapName) + checkBasicQuery(dataMapName, bloomDMSampleTable, normalTable) + sql(s"DROP TABLE IF EXISTS $normalTable") + sql(s"DROP TABLE IF EXISTS $bloomDMSampleTable") + } + + test("test rebuild bloom datamap: index column is float, not dictionary") { + val floatCsvPath = s"$resourcesPath/datasamplefordate.csv" + CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy-MM-dd") + sql( + s""" + | CREATE TABLE $normalTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno') + """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$floatCsvPath' INTO TABLE $normalTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$floatCsvPath' INTO TABLE $bloomDMSampleTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable USING 'bloomfilter' DMPROPERTIES ( + | 'INDEX_COLUMNS'='salary') + """.stripMargin) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040.56'").show(false) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040'").show(false) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040.56'"), + sql(s"SELECT * FROM $normalTable WHERE salary='1040.56'")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040'"), + sql(s"SELECT * FROM $normalTable WHERE salary='1040'")) + } + + test("test rebuild bloom datamap: index column is float, dictionary") { + val floatCsvPath = s"$resourcesPath/datasamplefordate.csv" + CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy-MM-dd") + sql( + s""" + | CREATE TABLE $normalTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno') + """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno', 'DICTIONARY_INCLUDE'='salary') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$floatCsvPath' INTO TABLE $normalTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$floatCsvPath' INTO TABLE $bloomDMSampleTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable USING 'bloomfilter' DMPROPERTIES ( + | 'INDEX_COLUMNS'='salary') + """.stripMargin) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040.56'").show(false) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040'").show(false) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040.56'"), + sql(s"SELECT * FROM $normalTable WHERE salary='1040.56'")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE salary='1040'"), + sql(s"SELECT * FROM $normalTable WHERE salary='1040'")) + } + + test("test rebuild bloom datamap: index column is date") { + val dateCsvPath = s"$resourcesPath/datasamplefordate.csv" + CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy-MM-dd") + sql( + s""" + | CREATE TABLE $normalTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno') + """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$dateCsvPath' INTO TABLE $normalTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$dateCsvPath' INTO TABLE $bloomDMSampleTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable USING 'bloomfilter' DMPROPERTIES ( + | 'INDEX_COLUMNS'='doj') + """.stripMargin) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-14'").show(false) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-15'").show(false) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-14'"), + sql(s"SELECT * FROM $normalTable WHERE doj='2016-03-14'")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-15'"), + sql(s"SELECT * FROM $normalTable WHERE doj='2016-03-15'")) + } + + test("test rebuild bloom datamap: index column is date, dictionary, sort_colum") { + val dateCsvPath = s"$resourcesPath/datasamplefordate.csv" + CarbonProperties.getInstance().addProperty(CarbonCommonConstants.CARBON_DATE_FORMAT, "yyyy-MM-dd") + sql( + s""" + | CREATE TABLE $normalTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno') + """.stripMargin) + sql( + s""" + | CREATE TABLE $bloomDMSampleTable(empno string, doj date, salary float) + | STORED BY 'carbondata' + | TBLPROPERTIES('SORT_COLUMNS'='empno,doj', 'DICTIONARY_INCLUDE'='doj') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$dateCsvPath' INTO TABLE $normalTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | LOAD DATA INPATH '$dateCsvPath' INTO TABLE $bloomDMSampleTable OPTIONS( + | 'DELIMITER'=',', 'QUOTECHAR'='"', 'BAD_RECORDS_ACTION'='FORCE') + """.stripMargin) + sql( + s""" + | CREATE DATAMAP $dataMapName ON TABLE $bloomDMSampleTable USING 'bloomfilter' DMPROPERTIES ( + | 'INDEX_COLUMNS'='doj') + """.stripMargin) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-14'").show(false) + sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-15'").show(false) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-14'"), + sql(s"SELECT * FROM $normalTable WHERE doj='2016-03-14'")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE doj='2016-03-15'"), + sql(s"SELECT * FROM $normalTable WHERE doj='2016-03-15'")) + } + + test("test rebuild bloom datamap: loading and querying with empty values on index column") { + sql(s"CREATE TABLE $normalTable(c1 string, c2 int, c3 string) STORED BY 'carbondata'") + sql(s"CREATE TABLE $bloomDMSampleTable(c1 string, c2 int, c3 string) STORED BY 'carbondata'") + + // load data with empty value + sql(s"INSERT INTO $normalTable SELECT '', 1, 'xxx'") + sql(s"INSERT INTO $bloomDMSampleTable SELECT '', 1, 'xxx'") + sql(s"INSERT INTO $normalTable SELECT '', null, 'xxx'") + sql(s"INSERT INTO $bloomDMSampleTable SELECT '', null, 'xxx'") + + sql( + s""" + | CREATE DATAMAP $dataMapName on table $bloomDMSampleTable + | using 'bloomfilter' + | DMPROPERTIES('index_columns'='c1, c2') + """.stripMargin) + + // query on null fields + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable"), + sql(s"SELECT * FROM $normalTable")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE c1 = null"), + sql(s"SELECT * FROM $normalTable WHERE c1 = null")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE c1 = ''"), + sql(s"SELECT * FROM $normalTable WHERE c1 = ''")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE isNull(c1)"), + sql(s"SELECT * FROM $normalTable WHERE isNull(c1)")) + checkAnswer(sql(s"SELECT * FROM $bloomDMSampleTable WHERE isNull(c2)"), + sql(s"SELECT * FROM $normalTable WHERE isNull(c2)")) + } + override def afterAll(): Unit = { deleteFile(bigFile) sql(s"DROP TABLE IF EXISTS $normalTable") diff --git a/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapSuite.scala b/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapSuite.scala index a8e419355e8..c9a40973c49 100644 --- a/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapSuite.scala +++ b/integration/spark2/src/test/scala/org/apache/carbondata/datamap/bloom/BloomCoarseGrainDataMapSuite.scala @@ -141,7 +141,7 @@ class BloomCoarseGrainDataMapSuite extends QueryTest with BeforeAndAfterAll with sql(s"DROP TABLE IF EXISTS $bloomDMSampleTable") } - ignore("test create bloom datamap and REBUILD DATAMAP") { + test("test create bloom datamap and REBUILD DATAMAP") { sql( s""" | CREATE TABLE $normalTable(id INT, name STRING, city STRING, age INT, @@ -183,7 +183,7 @@ class BloomCoarseGrainDataMapSuite extends QueryTest with BeforeAndAfterAll with sql(s"DROP TABLE IF EXISTS $bloomDMSampleTable") } - ignore("test create bloom datamap with DEFERRED REBUILD, query hit datamap") { + test("test create bloom datamap with DEFERRED REBUILD, query hit datamap") { sql( s""" | CREATE TABLE $normalTable(id INT, name STRING, city STRING, age INT, @@ -261,7 +261,7 @@ class BloomCoarseGrainDataMapSuite extends QueryTest with BeforeAndAfterAll with sql(s"DROP TABLE IF EXISTS $bloomDMSampleTable") } - ignore("test create bloom datamap with DEFERRED REBUILD, query not hit datamap") { + test("test create bloom datamap with DEFERRED REBUILD, query not hit datamap") { sql( s""" | CREATE TABLE $normalTable(id INT, name STRING, city STRING, age INT,