wangyum commented on a change in pull request #33170:
URL: https://github.com/apache/spark/pull/33170#discussion_r662872534
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/LogicalRelation.scala
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@@ -81,6 +81,14 @@ object LogicalRelation {
// The v1 source may return schema containing char/varchar type. We
replace char/varchar
// with "annotated" string type here as the query engine doesn't support
char/varchar yet.
val schema =
CharVarcharUtils.replaceCharVarcharWithStringInSchema(relation.schema)
- LogicalRelation(relation, schema.toAttributes, Some(table), false)
+ val attributes = schema.toAttributes
+ val output = table.stats.map(_.colStats) match {
+ case Some(colStats) =>
+ attributes
+ .map(a =>
a.withNullability(colStats.get(a.name).forall(_.nullCount.forall(_ > 0L))))
Review comment:
Yes. Based on column statistics.
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