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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2016/11/03 15:38:59 UTC
[jira] [Resolved] (SPARK-17981) Incorrectly Set Nullability to
False in FilterExec
[ https://issues.apache.org/jira/browse/SPARK-17981?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Herman van Hovell resolved SPARK-17981.
---------------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
> Incorrectly Set Nullability to False in FilterExec
> --------------------------------------------------
>
> Key: SPARK-17981
> URL: https://issues.apache.org/jira/browse/SPARK-17981
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.1, 2.1.0
> Reporter: Xiao Li
> Assignee: Xiao Li
> Priority: Critical
> Labels: correctness
> Fix For: 2.1.0
>
>
> When FilterExec contains isNotNull, which could be inferred and pushed down or users specified, we convert the nullability of the involved columns if the top-layer expression is null-intolerant. However, this is not true, if the top-layer expression is not a leaf expression, it could still tolerate the null when it has null-tolerant child expression.
> For example, cast(coalesce(a#5, a#15) as double). Although cast is a null-intolerant expression, but obviously coalesce is a null-tolerant.
> When the nullability is wrong, we could generate incorrect results in different cases.
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