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Posted to issues@spark.apache.org by "zengxl (JIRA)" <ji...@apache.org> on 2018/11/08 05:55:00 UTC

[jira] [Updated] (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 ]

zengxl updated SPARK-25961:
---------------------------
    Summary: Random numbers are not supported when handling data skew  (was: 处理数据倾斜时使用随机数不支持)

> 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 query sql use two table join,one table join key has null value,i use rand value instead of null value,but has error,the error info as follows:
> 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
> 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 ${operator.simpleString}
>  """.stripMargin)|
>  
> Is it possible to add Join to this code? It's not yet tested.And whether there will be other effects
> case o if o.expressions.exists(!_.deterministic) &&
>  !o.isInstanceOf[Project] && !o.isInstanceOf[Filter] &&
>  !o.isInstanceOf[Aggregate] && !o.isInstanceOf[Window] +{color:#d04437}&& !o.isInstanceOf[Join]{color}+ =>
>  // The rule above is used to check Aggregate operator.
>  failAnalysis(
>  s"""nondeterministic expressions are only allowed in
> |Project, Filter, Aggregate or Window or Join, found:|
> |${o.expressions.map(_.sql).mkString(",")}|
> |in operator ${operator.simpleString}
>  """.stripMargin)|
>  
> this is my sparksql:
> 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'



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