Ng Jiunn Jye created SPARK-16704:
------------------------------------
Summary: Union does not work for column with array byte
Key: SPARK-16704
URL: https://issues.apache.org/jira/browse/SPARK-16704
Project: Spark
Issue Type: Bug
Reporter: Ng Jiunn Jye
When union 2 query with columns having array of bytes datatype, spark query
fail with exception.
Example :
select binaryColumn from tableA
union
select binaryColumn from tableB
Note that spark properties "spark.sql.parquet.binaryAsString" is set to true
org.apache.spark.sql.AnalysisException: unresolved operator 'Union;
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:38)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:44)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:203)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:50)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:105)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$foreachUp$1.apply(TreeNode.scala:104)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at scala.collection.immutable.List.foreach(List.scala:381)
~[org.scala-lang.scala-library-2.11.8.jar:na]
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:104)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.checkAnalysis(CheckAnalysis.scala:50)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:44)
~[iop-spark-client.spark-catalyst_2.11-1.6.0.jar:1.6.0]
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:34)
~[iop-spark-client.spark-sql_2.11-1.6.0.jar:1.6.0]
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133)
~[iop-spark-client.spark-sql_2.11-1.6.0.jar:1.6.0]
at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:52)
~[iop-spark-client.spark-sql_2.11-1.6.0.jar:1.6.0]
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)
~[iop-spark-client.spark-sql_2.11-1.6.0.jar:1.6.0]
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
