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Move most of the existing SMJ code into Java.
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153 changes: 153 additions & 0 deletions
153
sql/catalyst/src/main/java/org/apache/spark/sql/execution/joins/SortMergeJoinIterator.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,153 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
|
|
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| package org.apache.spark.sql.execution.joins; | ||
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| import java.util.NoSuchElementException; | ||
| import javax.annotation.Nullable; | ||
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| import scala.Function1; | ||
| import scala.collection.Iterator; | ||
| import scala.reflect.ClassTag; | ||
| import scala.reflect.ClassTag$; | ||
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| import org.apache.spark.sql.AbstractScalaRowIterator; | ||
| import org.apache.spark.sql.Row; | ||
| import org.apache.spark.sql.catalyst.expressions.JoinedRow5; | ||
| import org.apache.spark.sql.catalyst.expressions.RowOrdering; | ||
| import org.apache.spark.util.collection.CompactBuffer; | ||
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| /** | ||
| * Implements the merge step of sort-merge join. | ||
| */ | ||
| class SortMergeJoinIterator extends AbstractScalaRowIterator { | ||
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| private static final ClassTag<Row> ROW_CLASS_TAG = ClassTag$.MODULE$.apply(Row.class); | ||
| private final Iterator<Row> leftIter; | ||
| private final Iterator<Row> rightIter; | ||
| private final Function1<Row, Row> leftKeyGenerator; | ||
| private final Function1<Row, Row> rightKeyGenerator; | ||
| private final RowOrdering keyOrdering; | ||
| private final JoinedRow5 joinRow = new JoinedRow5(); | ||
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| @Nullable private Row leftElement; | ||
| @Nullable private Row rightElement; | ||
| private Row leftKey; | ||
| private Row rightKey; | ||
| @Nullable private CompactBuffer<Row> rightMatches; | ||
| private int rightPosition = -1; | ||
| private boolean stop = false; | ||
| private Row matchKey; | ||
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| public SortMergeJoinIterator( | ||
| Iterator<Row> leftIter, | ||
| Iterator<Row> rightIter, | ||
| Function1<Row, Row> leftKeyGenerator, | ||
| Function1<Row, Row> rightKeyGenerator, | ||
| RowOrdering keyOrdering) { | ||
| this.leftIter = leftIter; | ||
| this.rightIter = rightIter; | ||
| this.leftKeyGenerator = leftKeyGenerator; | ||
| this.rightKeyGenerator = rightKeyGenerator; | ||
| this.keyOrdering = keyOrdering; | ||
| fetchLeft(); | ||
| fetchRight(); | ||
| } | ||
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| private void fetchLeft() { | ||
| if (leftIter.hasNext()) { | ||
| leftElement = leftIter.next(); | ||
| leftKey = leftKeyGenerator.apply(leftElement); | ||
| } else { | ||
| leftElement = null; | ||
| } | ||
| } | ||
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| private void fetchRight() { | ||
| if (rightIter.hasNext()) { | ||
| rightElement = rightIter.next(); | ||
| rightKey = rightKeyGenerator.apply(rightElement); | ||
| } else { | ||
| rightElement = null; | ||
| } | ||
| } | ||
|
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| /** | ||
| * Searches the right iterator for the next rows that have matches in left side, and store | ||
| * them in a buffer. | ||
| * | ||
| * @return true if the search is successful, and false if the right iterator runs out of | ||
| * tuples. | ||
| */ | ||
| private boolean nextMatchingPair() { | ||
| if (!stop && rightElement != null) { | ||
| // run both side to get the first match pair | ||
| while (!stop && leftElement != null && rightElement != null) { | ||
| final int comparing = keyOrdering.compare(leftKey, rightKey); | ||
| // for inner join, we need to filter those null keys | ||
| stop = comparing == 0 && !leftKey.anyNull(); | ||
| if (comparing > 0 || rightKey.anyNull()) { | ||
| fetchRight(); | ||
| } else if (comparing < 0 || leftKey.anyNull()) { | ||
| fetchLeft(); | ||
| } | ||
| } | ||
| rightMatches = new CompactBuffer<Row>(ROW_CLASS_TAG); | ||
| if (stop) { | ||
| stop = false; | ||
| // Iterate the right side to buffer all rows that match. | ||
| // As the records should be ordered, exit when we meet the first record that not match. | ||
| while (!stop && rightElement != null) { | ||
| rightMatches.$plus$eq(rightElement); | ||
| fetchRight(); | ||
| stop = keyOrdering.compare(leftKey, rightKey) != 0; | ||
| } | ||
| if (rightMatches.size() > 0) { | ||
| rightPosition = 0; | ||
| matchKey = leftKey; | ||
| } | ||
| } | ||
| } | ||
| return rightMatches != null && rightMatches.size() > 0; | ||
| } | ||
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| @Override | ||
| public boolean hasNext() { | ||
| return nextMatchingPair(); | ||
| } | ||
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| @Override | ||
| public Row next() { | ||
| if (hasNext()) { | ||
| // We are using the buffered right rows and run down left iterator | ||
| final Row joinedRow = joinRow.apply(leftElement, rightMatches.apply(rightPosition)); | ||
| rightPosition += 1; | ||
| if (rightPosition >= rightMatches.size()) { | ||
| rightPosition = 0; | ||
| fetchLeft(); | ||
| if (leftElement == null || keyOrdering.compare(leftKey, matchKey) != 0) { | ||
| stop = false; | ||
| rightMatches = null; | ||
| } | ||
| } | ||
| return joinedRow; | ||
| } else { | ||
| // No more results | ||
| throw new NoSuchElementException(); | ||
| } | ||
| } | ||
| } |
25 changes: 25 additions & 0 deletions
25
sql/catalyst/src/main/scala/org/apache/spark/sql/AbstractScalaRowIterator.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,25 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
|
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| package org.apache.spark.sql | ||
|
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| /** | ||
| * Shim to allow us to implement [[scala.Iterator]] in Java. Scala 2.11+ has an AbstractIterator | ||
| * class for this, but that class is `private[scala]` in 2.10. We need to explicitly fix this to | ||
| * `Row` in order to work around a spurious IntelliJ compiler error. | ||
| */ | ||
| private[spark] abstract class AbstractScalaRowIterator extends Iterator[Row] |
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