neilramaswamy commented on code in PR #44323:
URL: https://github.com/apache/spark/pull/44323#discussion_r1567458442
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sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinHelper.scala:
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@@ -219,10 +222,35 @@ object StreamingSymmetricHashJoinHelper extends Logging {
attributesWithEventWatermark =
AttributeSet(otherSideInputAttributes),
condition,
eventTimeWatermarkForEviction)
- val inputAttributeWithWatermark =
oneSideInputAttributes.find(_.metadata.contains(delayKey))
- val expr = watermarkExpression(inputAttributeWithWatermark,
stateValueWatermark)
- expr.map(JoinStateValueWatermarkPredicate.apply _)
+ // For example, if the condition is of the form:
+ // left_time > right_time + INTERVAL 30 MINUTES
+ // Then this extracts left_time and right_time.
+ val attributesInCondition = AttributeSet(
+ condition.get.collect { case a: AttributeReference => a }
+ )
+
+ // Construct an AttributeSet so that we can perform equality between
attributes,
+ // which we do in the filter below.
+ val oneSideInputAttributeSet = AttributeSet(oneSideInputAttributes)
+
+ // oneSideInputAttributes could be [left_value, left_time], and we just
+ // want the attribute _in_ the time-interval condition.
+ val oneSideStateWatermarkAttributes = attributesInCondition.filter { a
=>
+ oneSideInputAttributeSet.contains(a)
Review Comment:
The interesting thing about this PR is that this _won't_ be the event-time
attribute. If we only have one known watermarked column, we have to find the
other attribute, and that other attribute is the one for which we do state
removal. It does not necessarily need to be an event-time attribute.
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