cloud-fan commented on code in PR #36117:
URL: https://github.com/apache/spark/pull/36117#discussion_r853321324
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlanDistinctKeys.scala:
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@@ -29,6 +29,12 @@ import
org.apache.spark.sql.internal.SQLConf.PROPAGATE_DISTINCT_KEYS_ENABLED
*/
trait LogicalPlanDistinctKeys { self: LogicalPlan =>
lazy val distinctKeys: Set[ExpressionSet] = {
- if (conf.getConf(PROPAGATE_DISTINCT_KEYS_ENABLED))
DistinctKeyVisitor.visit(self) else Set.empty
+ if (conf.getConf(PROPAGATE_DISTINCT_KEYS_ENABLED)) {
+ val keys = DistinctKeyVisitor.visit(self)
+ require(keys.forall(_.nonEmpty))
Review Comment:
Do we really need this `require`? It looks fine to have an empty set as the
distinct keys, e.g. global aggregate without keys. It means that the entire
data set is distinct (have at most one row), and `EliminateDistinct` is OK with
empty set in distinct keys.
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