Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14117#discussion_r70169236
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala
---
@@ -65,6 +65,11 @@ private[sql] case class InMemoryTableScanExec(
case EqualTo(l: Literal, a: AttributeReference) =>
statsFor(a).lowerBound <= l && l <= statsFor(a).upperBound
+ case EqualNullSafe(a: AttributeReference, l: Literal) if !l.nullable =>
+ statsFor(a).lowerBound <= l && l <= statsFor(a).upperBound
+ case EqualNullSafe(l: Literal, a: AttributeReference) if !l.nullable =>
--- End diff --
Ah, actually it seems okay because when `Literal` is `null`, it seems the
filter is failed to resolved as the `Literal` type is `NullType` and then not
applied for filtering here. And when the statistics for `upperBound` and
`lowerBound` are `null`, it also seems okay because it seems the generated
predicate deals with nullability.
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