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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/01/15 02:15:27 UTC

[jira] [Commented] (SPARK-17458) Alias specified for aggregates in a pivot are not honored

    [ https://issues.apache.org/jira/browse/SPARK-17458?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15823010#comment-15823010 ] 

Apache Spark commented on SPARK-17458:
--------------------------------------

User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/16565

> Alias specified for aggregates in a pivot are not honored
> ---------------------------------------------------------
>
>                 Key: SPARK-17458
>                 URL: https://issues.apache.org/jira/browse/SPARK-17458
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Ravi Somepalli
>            Assignee: Andrew Ray
>             Fix For: 2.1.0
>
>
> When using pivot and multiple aggregations we need to alias to avoid special characters, but alias does not help because 
> df.groupBy("C").pivot("A").agg(avg("D").as("COLD"), max("B").as("COLB")).show
> ||    C || bar_avg(`D`) AS `COLD` || bar_max(`B`) AS `COLB` || foo_avg(`D`) AS `COLD` || foo_max(`B`) AS `COLB` ||
> |small|                   5.5|                   two|    2.3333333333333335|   two|
> |large|                   5.5|                   two|                   2.0|                   one|
> Expected Output
> ||    C || bar_COLD || bar_COLB || foo_COLD || foo_COLB ||
> |small|                   5.5|                   two|    2.3333333333333335|   two|
> |large|                   5.5|                   two|                   2.0|                   one|
> One approach you can fix this issue is to change the class
> sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
>  and change the outputName method in 
> {code}
> object ResolvePivot extends Rule[LogicalPlan] {
>     def apply(plan: LogicalPlan): LogicalPlan = plan transform {
> {code}
> {code}
> def outputName(value: Literal, aggregate: Expression): String = {
>           val suffix = aggregate match {
>              case n: NamedExpression => aggregate.asInstanceOf[NamedExpression].name
>              case _ => aggregate.sql
>            }
>           if (singleAgg) value.toString else value + "_" + suffix
>         }
> {code}
> Version : 2.0.0
> {code}
> def outputName(value: Literal, aggregate: Expression): String = {
>           if (singleAgg) value.toString else value + "_" + aggregate.sql
>         }
> {code}



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