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Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2016/07/20 07:02:20 UTC
[jira] [Assigned] (SPARK-16642) ResolveWindowFrame should not be
triggered on UnresolvedFunctions.
[ https://issues.apache.org/jira/browse/SPARK-16642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai reassigned SPARK-16642:
--------------------------------
Assignee: Yin Huai
> ResolveWindowFrame should not be triggered on UnresolvedFunctions.
> ------------------------------------------------------------------
>
> Key: SPARK-16642
> URL: https://issues.apache.org/jira/browse/SPARK-16642
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yin Huai
> Assignee: Yin Huai
>
> The case at https://github.com/apache/spark/blob/75146be6ba5e9f559f5f15430310bb476ee0812c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L1790-L1792 is shown below
> {code}
> case we @ WindowExpression(e, s @ WindowSpecDefinition(_, o, UnspecifiedFrame)) =>
> val frame = SpecifiedWindowFrame.defaultWindowFrame(o.nonEmpty, acceptWindowFrame = true)
> we.copy(windowSpec = s.copy(frameSpecification = frame))
> {code}
> This case will be triggered even when the function is an unresolved. So, when the functions like lead are used, we may see errors like {{Window Frame RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW must match the required frame ROWS BETWEEN 1 FOLLOWING AND 1 FOLLOWING.}} because we wrongly set the the frame specification.
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