[jira] [Created] (SPARK-10925) Exception when joining DataFrames

["Alexis Seigneurin (JIRA)" <ji...@apache.org>]

Alexis Seigneurin created SPARK-10925:
-----------------------------------------

             Summary: Exception when joining DataFrames
                 Key: SPARK-10925
                 URL: https://issues.apache.org/jira/browse/SPARK-10925
             Project: Spark
          Issue Type: Bug
    Affects Versions: 1.5.1, 1.5.0
         Environment: Tested with Spark 1.5.0 and Spark 1.5.1
            Reporter: Alexis Seigneurin
         Attachments: TestCase2.scala

I get an exception when joining a DataFrame with another DataFrame. The second DataFrame was created by performing an aggregation on the first DataFrame.

My complete workflow is:

# read the DataFrame
# apply an UDF on column "name"
# apply an UDF on column "surname"
# apply an UDF on column "birthDate"
# aggregate on "name" and re-join with the DF
# aggregate on "surname" and re-join with the DF

If I remove one step, the process completes normally.

Here is the exception:

{code}
Exception in thread "main" org.apache.spark.sql.AnalysisException: resolved attribute(s) surname#20 missing from id#0,birthDate#3,name#10,surname#7 in operator !Project [id#0,birthDate#3,name#10,surname#20,UDF(birthDate#3) AS birthDate_cleaned#8];
	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$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:154)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:49)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:103)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:102)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:102)
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:49)
	at org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
	at org.apache.spark.sql.SQLContext$QueryExecution.assertAnalyzed(SQLContext.scala:914)
	at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:132)
	at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$logicalPlanToDataFrame(DataFrame.scala:154)
	at org.apache.spark.sql.DataFrame.join(DataFrame.scala:553)
	at org.apache.spark.sql.DataFrame.join(DataFrame.scala:520)
	at TestCase2$.main(TestCase2.scala:51)
	at TestCase2.main(TestCase2.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:497)
	at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
{code}

I'm attaching a test case that I tried with Spark 1.5.0 and 1.5.1. Please note it used to work with version 1.4.1



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