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https://issues.apache.org/jira/browse/SPARK-25961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16679237#comment-16679237
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Dongjoon Hyun commented on SPARK-25961:
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[~zengxl]. Please use English in Apache Spark JIRA.
> 处理数据倾斜时使用随机数不支持
> ---------------
>
> 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
>
> 两个表连接，有一个表存在空值，给join键加上随机数，提示不可以
> Error in query: nondeterministic expressions are only allowed in
> Project, Filter, Aggregate or Window, found
> 查看源码发现是在org.apache.spark.sql.catalyst.analysis.CheckAnalysis进行sql校验，由于随机数是不确定值被禁止了
> 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)
> 是否在这段代码加上Join情况就可以？现在还没测试
> 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)
>
> 我的sql：
> 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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