sunchao commented on code in PR #42324:
URL: https://github.com/apache/spark/pull/42324#discussion_r1283687546
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/BatchScanExec.scala:
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@@ -190,10 +190,17 @@ case class BatchScanExec(
Seq.fill(numSplits)(Seq.empty))
}
} else {
+ // either `commonPartitionValues` is not defined, or it is
defined but
+ // `applyPartialClustering` is false.
val partitionMapping = groupedPartitions.map { case (row, parts)
=>
InternalRowComparableWrapper(row, p.expressions) -> parts
}.toMap
- finalPartitions = p.partitionValues.map { partValue =>
+
+ // In case `commonPartitionValues` is not defined (e.g., SPJ is
not used), there
Review Comment:
Currently the SPJ logic in this class is pretty complicated, given it needs
to handle different combinations w.r.t partial clustering, partition value
pushing down as well as runtime filtering. We can try to simplify it in a
follow-up.
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