[jira] [Assigned] (SPARK-9950) Wrong Analysis Error for grouping/aggregating on struct fields

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-9950?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-9950:
-----------------------------------

    Assignee: Apache Spark  (was: Wenchen Fan)

> Wrong Analysis Error for grouping/aggregating on struct fields
> --------------------------------------------------------------
>
>                 Key: SPARK-9950
>                 URL: https://issues.apache.org/jira/browse/SPARK-9950
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Michael Armbrust
>            Assignee: Apache Spark
>            Priority: Blocker
>
> Spark 1.4:
> {code}
> import org.apache.spark.sql.functions._
> val df = Seq(("x", (1,1)), ("y", (2, 2))).toDF("a", "b")
> df.groupBy("b._1").agg(sum("b._2")).collect()
> df: org.apache.spark.sql.DataFrame = [a: string, b: struct<_1:int,_2:int>]
> res0: Array[org.apache.spark.sql.Row] = Array([1,1], [2,2])
> {code}
> Spark 1.5
> {code}
> org.apache.spark.sql.AnalysisException: expression 'b' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() if you don't care which value you get.;
> 	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:37)
> 	at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
> 	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.org$apache$spark$sql$catalyst$analysis$CheckAnalysis$class$$anonfun$$checkValidAggregateExpression$1(CheckAnalysis.scala:110)
> {code}



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