[SPARK-10925] Exception when joining DataFrames

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Affects Version/s: 1.5.0, 1.5.1
• Component/s: SQL
• Labels: bulk-closed

Environment

Tested with Spark 1.5.0 and Spark 1.5.1

• Assignee: Unassigned
• Reporter: Alexis Seigneurin
• Created: 05/Oct/15 12:41
• Updated: 30/Nov/21 14:34
• Resolved: 25/May/21 01:45

Description

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:

1. read the DataFrame
2. apply an UDF on column "name"
3. apply an UDF on column "surname"
4. apply an UDF on column "birthDate"
5. aggregate on "name" and re-join with the DF
6. aggregate on "surname" and re-join with the DF

If I remove one step, the process completes normally.

Here is the exception:

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)

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

Issue Links

• duplicates: SPARK-14948 Exception when joining DataFrames derived form the same DataFrame
• is duplicated by: SPARK-14948 Exception when joining DataFrames derived form the same DataFrame
• is duplicated by: SPARK-20093 Exception when Joining dataframe with another dataframe generated by applying groupBy transformation on original one
• relates to: SPARK-20073 Unexpected Cartesian product when using eqNullSafe in join with a derived table