[jira] [Created] (SPARK-7269) Incorrect aggregation analysis

["Cheng Hao (JIRA)" <ji...@apache.org>]

Cheng Hao created SPARK-7269:
--------------------------------

             Summary: Incorrect aggregation analysis
                 Key: SPARK-7269
                 URL: https://issues.apache.org/jira/browse/SPARK-7269
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: Cheng Hao
            Priority: Blocker


In a case insensitive analyzer (HiveContext), the attribute name captial differences will fail the analysis check for aggregation.
{code}
test("check analysis failed in case in-sensitive") {
    Seq(1,2,3).map(i => (i, i.toString)).toDF("key", "value").registerTempTable("df_analysis")
    sql("SELECT kEy from df_analysis group by key")
}
{code}

{panel}
expression 'kEy' 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.;
org.apache.spark.sql.AnalysisException: expression 'kEy' 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:38)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:39)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.org$apache$spark$sql$catalyst$analysis$CheckAnalysis$class$$anonfun$$checkValidAggregateExpression$1(CheckAnalysis.scala:85)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$4.apply(CheckAnalysis.scala:101)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$4.apply(CheckAnalysis.scala:101)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:101)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:89)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:39)
	at org.apache.spark.sql.SQLContext$QueryExecution.assertAnalyzed(SQLContext.scala:1121)
	at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
	at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
	at org.apache.spark.sql.hive.HiveContext.sql(HiveContext.scala:97)
	at org.apache.spark.sql.hive.execution.SQLQuerySuite$$anonfun$15.apply$mcV$sp(SQLQuerySuite.scala:408)
	at org.apache.spark.sql.hive.execution.SQLQuerySuite$$anonfun$15.apply(SQLQuerySuite.scala:406)
	at org.apache.spark.sql.hive.execution.SQLQuerySuite$$anonfun$15.apply(SQLQuerySuite.scala:406)
	at org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
	at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
	at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
	at org.scalatest.Transformer.apply(Transformer.scala:22)
	at org.scalatest.Transformer.apply(Transformer.scala:20)
	at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
	at org.scalatest.Suite$class.withFixture(Suite.scala:1122)
	at org.scalatest.FunSuite.withFixture(FunSuite.scala:1555)
	at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
{panel}



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