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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2016/07/14 06:15:20 UTC
[jira] [Resolved] (SPARK-16343) Improve the PushDownPredicate rule
to pushdown predicates currectly in non-deterministic condition
[ https://issues.apache.org/jira/browse/SPARK-16343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Cheng Lian resolved SPARK-16343.
--------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14012
[https://github.com/apache/spark/pull/14012]
> Improve the PushDownPredicate rule to pushdown predicates currectly in non-deterministic condition
> --------------------------------------------------------------------------------------------------
>
> Key: SPARK-16343
> URL: https://issues.apache.org/jira/browse/SPARK-16343
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.6.2
> Reporter: Jiang Xingbo
> Priority: Critical
> Fix For: 2.1.0
>
>
> Currently our Optimizer may reorder the predicates to run them more efficient, but in non-deterministic condition, change the order between deterministic parts and non-deterministic parts may change the number of input rows. For example:
> {code:sql}
> SELECT a FROM t WHERE rand() < 0.1 AND a = 1
> {code}
> And
> {code:sql}
> SELECT a FROM t WHERE a = 1 AND rand() < 0.1
> {code}
> may call rand() for different times and therefore the output rows differ.
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