cloud-fan commented on code in PR #40697:
URL: https://github.com/apache/spark/pull/40697#discussion_r1160503755
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sql/core/src/main/scala/org/apache/spark/sql/execution/WholeStageCodegenExec.scala:
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@@ -750,37 +750,29 @@ case class WholeStageCodegenExec(child: SparkPlan)(val
codegenStageId: Int)
// but the output must be rows.
val rdds = child.asInstanceOf[CodegenSupport].inputRDDs()
assert(rdds.size <= 2, "Up to two input RDDs can be supported")
+ val evaluatorFactory = new WholeStageCodegenEvaluatorFactory(
+ cleanedSource, durationMs, references)
if (rdds.length == 1) {
- rdds.head.mapPartitionsWithIndex { (index, iter) =>
- val (clazz, _) = CodeGenerator.compile(cleanedSource)
- val buffer =
clazz.generate(references).asInstanceOf[BufferedRowIterator]
- buffer.init(index, Array(iter))
- new Iterator[InternalRow] {
- override def hasNext: Boolean = {
- val v = buffer.hasNext
- if (!v) durationMs += buffer.durationMs()
- v
- }
- override def next: InternalRow = buffer.next()
+ if (conf.getConf(SQLConf.USE_TASK_EVALUATOR)) {
+ rdds.head.mapPartitionsWithEvaluator(evaluatorFactory)
+ } else {
+ rdds.head.mapPartitionsWithIndex { (index, iter) =>
+ val evaluator = evaluatorFactory.createEvaluator()
+ evaluator.eval(index, iter)
}
}
} else {
// Right now, we support up to two input RDDs.
- rdds.head.zipPartitions(rdds(1)) { (leftIter, rightIter) =>
- Iterator((leftIter, rightIter))
- // a small hack to obtain the correct partition index
- }.mapPartitionsWithIndex { (index, zippedIter) =>
- val (leftIter, rightIter) = zippedIter.next()
- val (clazz, _) = CodeGenerator.compile(cleanedSource)
- val buffer =
clazz.generate(references).asInstanceOf[BufferedRowIterator]
- buffer.init(index, Array(leftIter, rightIter))
- new Iterator[InternalRow] {
- override def hasNext: Boolean = {
- val v = buffer.hasNext
- if (!v) durationMs += buffer.durationMs()
- v
- }
- override def next: InternalRow = buffer.next()
+ if (conf.getConf(SQLConf.USE_TASK_EVALUATOR)) {
+ rdds.head.zipPartitionsWithEvaluator(rdds(1), evaluatorFactory)
+ } else {
+ rdds.head.zipPartitions(rdds(1)) { (leftIter, rightIter) =>
+ Iterator((leftIter, rightIter))
+ // a small hack to obtain the correct partition index
+ }.mapPartitionsWithIndex { (index, zippedIter) =>
+ val (leftIter, rightIter) = zippedIter.next()
+ val evaluator = evaluatorFactory.createEvaluator()
Review Comment:
using evaluator is just a factor (code move around), otherwise will have to
duplicate the code
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