nyingping commented on code in PR #36737:
URL: https://github.com/apache/spark/pull/36737#discussion_r891842533
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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
Review Comment:
Thank you for reviewing.
My understanding is that whether the event time is negative or not is
determined by the upstream data source, not the Spark platform itself. Even if
the event time is negative, the platform should give the correct value.
Does `in scala code` refer to the following code:
```
val lastStart = if (remainder < 0) {
timestamp - remainder - window.slideDuration
} else {
timestamp - remainder
}
```
In that case,The `remainder` is a `expressions.predicate`, the `remainder <
0` can't get a` boolean` value.
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