[jira] [Assigned] (SPARK-27255) Aggregate functions should not be allowed in WHERE

["Wenchen Fan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-27255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan reassigned SPARK-27255:
-----------------------------------

    Assignee: Dilip Biswal

> Aggregate functions should not be allowed in WHERE
> --------------------------------------------------
>
>                 Key: SPARK-27255
>                 URL: https://issues.apache.org/jira/browse/SPARK-27255
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Mingcong Han
>            Assignee: Dilip Biswal
>            Priority: Minor
>
> Aggregate functions should not be allowed in WHERE clause. But Spark SQL throws an exception when generating codes. It is supposed to throw an exception during parsing or analyzing.
> Here is an example:
> {code:scala}
> val df = spark.sql("select * from t where sum(ta) > 0")
> df.explain(true)
> df.show()
> {code}
> Spark SQL explains it as:
> {noformat}
> == Parsed Logical Plan ==
> 'Project [*]
> +- 'Filter ('sum('ta) > 0)
>    +- 'UnresolvedRelation `t`
> == Analyzed Logical Plan ==
> ta: int, tb: int
> Project [ta#5, tb#6]
> +- Filter (sum(cast(ta#5 as bigint)) > cast(0 as bigint))
>    +- SubqueryAlias `t`
>       +- Project [ta#5, tb#6]
>          +- SubqueryAlias `as`
>             +- LocalRelation [ta#5, tb#6]
> == Optimized Logical Plan ==
> Filter (sum(cast(ta#5 as bigint)) > 0)
> +- LocalRelation [ta#5, tb#6]
> == Physical Plan ==
> *(1) Filter (sum(cast(ta#5 as bigint)) > 0)
> +- LocalTableScan [ta#5, tb#6]
> {noformat}
> But when executing `df.show()`:
> {noformat}
> Exception in thread "main" java.lang.UnsupportedOperationException: Cannot generate code for expression: sum(cast(input[0, int, false] as bigint))
> 	at org.apache.spark.sql.catalyst.expressions.Unevaluable.doGenCode(Expression.scala:291)
> 	at org.apache.spark.sql.catalyst.expressions.Unevaluable.doGenCode$(Expression.scala:290)
> 	at org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression.doGenCode(interfaces.scala:87)
> 	at org.apache.spark.sql.catalyst.expressions.Expression.$anonfun$genCode$3(Expression.scala:138)
> 	at scala.Option.getOrElse(Option.scala:138)
> {noformat}
> I have tried it in PostgreSQL, and it directly throws an error:
> {noformat}
> ERROR: Aggregate functions are not allowed in WHERE. 
> {noformat}
> We'd better throw an AnalysisException here.



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