WweiL commented on code in PR #38503:
URL: https://github.com/apache/spark/pull/38503#discussion_r1014302073
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/UnsupportedOperationChecker.scala:
##########
@@ -41,23 +42,49 @@ object UnsupportedOperationChecker extends Logging {
}
}
+ def hasRangeExpr(e: Expression): Boolean = e.exists {
+ case neq @ (_: LessThanOrEqual | _: LessThan | _: GreaterThanOrEqual | _:
GreaterThan) =>
+ hasEventTimeColNeq(neq)
+ case _ => false
+ }
+
+ def hasEventTimeColNeq(neq: Expression): Boolean = {
+ val exp = neq.asInstanceOf[BinaryComparison]
+ hasEventTimeCol(exp.left) || hasEventTimeCol(exp.right)
+ }
+
+ def hasEventTimeCol(exps: Expression): Boolean =
+ exps.exists {
+ case a: AttributeReference =>
a.metadata.contains(EventTimeWatermark.delayKey)
+ case _ => false
+ }
+
+ // TODO: This function and hasRangeExpr
+ // should be deleted after we support range join with states
+ def isStreamStreamIntervalJoin(plan: LogicalPlan): Boolean = {
+ plan match {
+ case ExtractEquiJoinKeys(_, _, _, otherCondition, _, left, right, _) =>
+ left.isStreaming && right.isStreaming
+ otherCondition.isDefined && hasRangeExpr(otherCondition.get)
+ case _ => false
+ }
+ }
+
/**
* Checks for possible correctness issue in chained stateful operators. The
behavior is
* controlled by SQL config
`spark.sql.streaming.statefulOperator.checkCorrectness.enabled`.
* Once it is enabled, an analysis exception will be thrown. Otherwise,
Spark will just
* print a warning message.
*/
def checkStreamingQueryGlobalWatermarkLimit(
- plan: LogicalPlan,
- outputMode: OutputMode): Unit = {
+ plan: LogicalPlan): Unit = {
def isStatefulOperationPossiblyEmitLateRows(p: LogicalPlan): Boolean = p
match {
- case s: Aggregate
- if s.isStreaming && outputMode == InternalOutputModes.Append => true
case Join(left, right, joinType, _, _)
Review Comment:
Will do!
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