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Posted to issues@spark.apache.org by "zengxl (JIRA)" <ji...@apache.org> on 2018/11/08 05:53:00 UTC
[jira] [Updated] (SPARK-25961) 处理数据倾斜时使用随机数不支持
[ https://issues.apache.org/jira/browse/SPARK-25961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zengxl updated SPARK-25961:
---------------------------
Description:
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'
was:
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 ${operator.simpleString}
""".stripMargin)
我的sql：
SELECT
T1.CUST_NO AS CUST_NO ,
T3.CON_LAST_NAME AS CUST_NAME ,
T3.CON_SEX_MF AS SEX_CODE ,
T3.X_POSITION AS POST_LV_CODE
FROM tmp.ICT_CUST_RANGE_INFO T1
LEFT join tmp.F_CUST_BASE_INFO_ALL T3 ON CASE WHEN coalesce(T1.CUST_NO,'') ='' THEN concat('cust_no',RAND()) ELSE T1.CUST_NO END = T3.BECIF and T3.DATE='20181105'
WHERE T1.DATE='20181105'
> 处理数据倾斜时使用随机数不支持
> ---------------
>
> Key: SPARK-25961
> URL: https://issues.apache.org/jira/browse/SPARK-25961
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.1
> Environment: spark on yarn 2.3.1
> Reporter: zengxl
> Priority: Major
>
> my query sql use two table join,one table join key has null value,i use rand value instead of null value,but has error,the error info as follows：
> Error in query: nondeterministic expressions are only allowed in
> Project, Filter, Aggregate or Window, found
>
>
> scan spark source code is org.apache.spark.sql.catalyst.analysis.CheckAnalysis check sql, because the number of random variables is uncertain, it is prohibited
> case o if o.expressions.exists(!_.deterministic) &&
> !o.isInstanceOf[Project] && !o.isInstanceOf[Filter] &&
> !o.isInstanceOf[Aggregate] && !o.isInstanceOf[Window] =>
> // The rule above is used to check Aggregate operator.
> failAnalysis(
> s"""nondeterministic expressions are only allowed in
> |Project, Filter, Aggregate or Window, found:|
> |${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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