[
https://issues.apache.org/jira/browse/SPARK-7269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-7269:
-----------------------------
Priority: Major (was: Blocker)
> 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
>
> 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}
> {noformat}
> 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)
> {noformat}
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