Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/250#discussion_r11012376
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins.scala ---
@@ -40,33 +50,86 @@ case class SparkEquiInnerJoin(
override def requiredChildDistribution =
ClusteredDistribution(leftKeys) :: ClusteredDistribution(rightKeys) ::
Nil
+ val (buildPlan, streamedPlan) = buildSide match {
+ case BuildLeft => (left, right)
+ case BuildRight => (right, left)
+ }
+
+ val (buildKeys, streamedKeys) = buildSide match {
+ case BuildLeft => (leftKeys, rightKeys)
+ case BuildRight => (rightKeys, leftKeys)
+ }
+
def output = left.output ++ right.output
- def execute() = attachTree(this, "execute") {
- val leftWithKeys = left.execute().mapPartitions { iter =>
- val generateLeftKeys = new Projection(leftKeys, left.output)
- iter.map(row => (generateLeftKeys(row), row.copy()))
- }
+ @transient lazy val buildSideKeyGenerator = new Projection(buildKeys,
buildPlan.output)
+ @transient lazy val streamSideKeyGenerator =
+ () => new MutableProjection(streamedKeys, streamedPlan.output)
- val rightWithKeys = right.execute().mapPartitions { iter =>
- val generateRightKeys = new Projection(rightKeys, right.output)
- iter.map(row => (generateRightKeys(row), row.copy()))
- }
+ def execute() = {
- // Do the join.
- val joined =
filterNulls(leftWithKeys).joinLocally(filterNulls(rightWithKeys))
- // Drop join keys and merge input tuples.
- joined.map { case (_, (leftTuple, rightTuple)) => buildRow(leftTuple
++ rightTuple) }
- }
+ buildPlan.execute().zipPartitions(streamedPlan.execute()) {
(buildIter, streamIter) =>
+ val hashTable = new java.util.HashMap[Row, ArrayBuffer[Row]]()
+ var currentRow: Row = null
+
+ // Create a mapping of buildKeys -> rows
+ while(buildIter.hasNext) {
--- End diff --
space after while / if
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
