parthchandra commented on code in PR #1170:
URL: https://github.com/apache/datafusion-comet/pull/1170#discussion_r1884226642
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spark/src/main/scala/org/apache/spark/sql/comet/CometScanExec.scala:
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@@ -131,8 +131,15 @@ case class CometScanExec(
// exposed for testing
lazy val bucketedScan: Boolean = wrapped.bucketedScan
- override lazy val (outputPartitioning, outputOrdering): (Partitioning,
Seq[SortOrder]) =
- (wrapped.outputPartitioning, wrapped.outputOrdering)
+ override lazy val (outputPartitioning, outputOrdering): (Partitioning,
Seq[SortOrder]) = {
Review Comment:
@viirya - The previous fix to address outputPartitioning (using inputRDD)
was not correct and caused multiple test failures. This is a different attempt
(and at least all the tests pass).
If this is a bucketedScan, we fall back to the wrapped FileSourceScanLike
implementation but for non bucketed case since FileSourceScanLike always
returned 0 partitions, we override the behaviour, setting the num of partitions
to the number of files.
I'm not entirely sure this covers all cases so please advise.
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