nyingping commented on code in PR #36737:
URL: https://github.com/apache/spark/pull/36737#discussion_r893042194
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala:
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@@ -3963,8 +3966,10 @@ object TimeWindowing extends Rule[LogicalPlan] {
def getWindow(i: Int, dataType: DataType): Expression = {
val timestamp = PreciseTimestampConversion(window.timeColumn,
dataType, LongType)
- val lastStart = timestamp - (timestamp - window.startTime
- + window.slideDuration) % window.slideDuration
+ val remainder = (timestamp - window.startTime) % window.slideDuration
+ val lastStart = CaseWhen(
+ Seq((LessThan(remainder, 0), timestamp - remainder -
window.slideDuration))
Review Comment:
@srowen sure,As mentioned above, I think this problem is unavoidable because
we can't control the behavior of users. All we can do is get the right results
even if users enter illegal data.
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