advancedxy commented on a change in pull request #32450:
URL: https://github.com/apache/spark/pull/32450#discussion_r627935120
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/Statistics.scala
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@@ -49,12 +50,15 @@ object Statistics {
* @param attributeStats Statistics for Attributes.
* @param isRuntime Whether the statistics is inferred from query stage
runtime statistics during
* adaptive query execution.
+ * @param mapOutputStatistics the map output statistics from query stage
runtime statistics during
+ * adaptive query execution.
*/
case class Statistics(
sizeInBytes: BigInt,
rowCount: Option[BigInt] = None,
attributeStats: AttributeMap[ColumnStat] = AttributeMap(Nil),
- isRuntime: Boolean = false) {
+ isRuntime: Boolean = false,
+ mapOutputStatistics: Option[MapOutputStatistics] = None) {
Review comment:
FYI, we took anther approach to support SHJ in AQE. We added a rule in
`AdaptiveSparkPlanExec` to convert SMJ to SHJ according to shuffle stats, which
requires no changes in `Statistics.scala` as the statistics is ready in
`ShuffleStageInfo`.
The SMJ could also be converted to SHJ if applicable even if
`PREFER_SORTMERGE` is set. cc @Liulietong
cc @luuliietong
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