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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2018/11/09 04:00:09 UTC

[jira] [Resolved] (SPARK-25961) Random numbers are not supported when handling data skew

     [ https://issues.apache.org/jira/browse/SPARK-25961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-25961.
----------------------------------
    Resolution: Incomplete

> Random numbers are not supported when handling data skew
> --------------------------------------------------------
>
>                 Key: SPARK-25961
>                 URL: https://issues.apache.org/jira/browse/SPARK-25961
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.1
>         Environment: spark on yarn 2.3.1
>            Reporter: zengxl
>            Priority: Major
>
> My SQL query uses two tables to join. One table join key has null value. I use random value instead of {{null}};however, it has error. The error as follows:
> {code}
> Error in query: nondeterministic expressions are only allowed in
> Project, Filter, Aggregate or Window, found
> scan spark source code is org.apache.spark.sql.catalyst.analysis.CheckAnalysis check sql, because the number of random variables is uncertain, it is prohibited
> {code}
> {code}
> case o if o.expressions.exists(!_.deterministic) &&
>  !o.isInstanceOf[Project] && !o.isInstanceOf[Filter] &&
>  !o.isInstanceOf[Aggregate] && !o.isInstanceOf[Window] =>
>  // The rule above is used to check Aggregate operator.
>  failAnalysis(
>  s"""nondeterministic expressions are only allowed in
> |Project, Filter, Aggregate or Window, found:|
> |${o.expressions.map(_.sql).mkString(",")}|
> |in operator ${operator.simpleString}
>  """.stripMargin)|
> {code}
>  
> Is it possible to add Join to this code? It's not yet tested.And whether there will be other effects
> {code}
> case o if o.expressions.exists(!_.deterministic) &&
>  !o.isInstanceOf[Project] && !o.isInstanceOf[Filter] &&
>  !o.isInstanceOf[Aggregate] && !o.isInstanceOf[Window] +{color:#d04437}&& !o.isInstanceOf[Join]{color}+ =>
>  // The rule above is used to check Aggregate operator.
>  failAnalysis(
>  s"""nondeterministic expressions are only allowed in
> |Project, Filter, Aggregate or Window or Join, found:|
> |${o.expressions.map(_.sql).mkString(",")}|
> |in operator ${operator.simpleString}
>  """.stripMargin)|
> {code}
> This is my SQL query is as below:
> {code}
> SELECT T1.CUST_NO AS CUST_NO,
>        T3.CON_LAST_NAME AS CUST_NAME,
>        T3.CON_SEX_MF AS SEX_CODE,
>        T3.X_POSITION AS POST_LV_CODE
> FROM tmp.ICT_CUST_RANGE_INFO T1
> LEFT JOIN tmp.F_CUST_BASE_INFO_ALL T3 ON CASE
>                                              WHEN coalesce(T1.CUST_NO, '') ='' THEN concat('cust_no', RAND())
>                                              ELSE T1.CUST_NO
>                                          END = T3.BECIF
> AND T3.DATE='20181105'
> WHERE T1.DATE='20181105'
> {code}



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