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https://issues.apache.org/jira/browse/SPARK-21414?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-21414.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
2.2.1
Issue resolved by pull request 18634
[https://github.com/apache/spark/pull/18634]
> Buffer in SlidingWindowFunctionFrame could be big though window is small
> ------------------------------------------------------------------------
>
> Key: SPARK-21414
> URL: https://issues.apache.org/jira/browse/SPARK-21414
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.1
> Reporter: jin xing
> Fix For: 2.2.1, 2.3.0
>
>
> In {{SlidingWindowFunctionFrame}}, it is now adding all rows to the buffer
> for which the input row value is equal to or less than the output row upper
> bound, then drop all rows from the buffer for which the input row value is
> smaller than the output row lower bound.
> This could result in the buffer is very big though the window is small.
> For example:
> {{select a, b, sum(a) over (partition by b order by a range between 1000000
> following and 1000001 following) from table}}
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