Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/20831#discussion_r176002739
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala
---
@@ -169,7 +174,10 @@ case class InMemoryTableScanExec(
override def outputOrdering: Seq[SortOrder] =
relation.child.outputOrdering.map(updateAttribute(_).asInstanceOf[SortOrder])
- private def statsFor(a: Attribute) =
relation.partitionStatistics.forAttribute(a)
+ // When we make canonicalized plan, we can't find a normalized attribute
in this map.
+ // We return a `ColumnStatisticsSchema` for normalized attribute in this
case.
--- End diff --
Ah, sorry, I get it wrongly. The reason why it doesn't work is because
`relation` is `@transient`. `partitionFilters` needs to be non-lazy, otherwise
when we need to access `relation` in executor, we will get a
`NullPointerException`.
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