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From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10925) Exception when joining DataFrames
Date Thu, 22 Oct 2015 03:03:27 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14968427#comment-14968427
] 

Xiao Li commented on SPARK-10925:
---------------------------------

There is another ongoing JIRA that has a big impact on the fix for this JIRA. https://issues.apache.org/jira/browse/SPARK-11072

I will not add the fix until this #9081 is merged. 

Thanks, 

Xiao Li

> Exception when joining DataFrames
> ---------------------------------
>
>                 Key: SPARK-10925
>                 URL: https://issues.apache.org/jira/browse/SPARK-10925
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0, 1.5.1
>         Environment: Tested with Spark 1.5.0 and Spark 1.5.1
>            Reporter: Alexis Seigneurin
>         Attachments: Photo 05-10-2015 14 31 16.jpg, 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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