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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/02/01 14:49:51 UTC
[jira] [Commented] (SPARK-18841) PushProjectionThroughUnion
exception when there are same column
[ https://issues.apache.org/jira/browse/SPARK-18841?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15848444#comment-15848444 ]
Apache Spark commented on SPARK-18841:
--------------------------------------
User 'hvanhovell' has created a pull request for this issue:
https://github.com/apache/spark/pull/16757
> PushProjectionThroughUnion exception when there are same column
> ---------------------------------------------------------------
>
> Key: SPARK-18841
> URL: https://issues.apache.org/jira/browse/SPARK-18841
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2, 2.1.0
> Reporter: Song Jun
>
> {noformat}
> DROP TABLE IF EXISTS p1 ;
> DROP TABLE IF EXISTS p2 ;
> DROP TABLE IF EXISTS p3 ;
> CREATE TABLE p1 (col STRING) ;
> CREATE TABLE p2 (col STRING) ;
> CREATE TABLE p3 (col STRING) ;
> set spark.sql.crossJoin.enabled = true;
> SELECT
> 1 as cste,
> col
> FROM (
> SELECT
> col as col
> FROM (
> SELECT
> p1.col as col
> FROM p1
> LEFT JOIN p2
> UNION ALL
> SELECT
> col
> FROM p3
> ) T1
> ) T2
> ;
> {noformat}
> it will throw exception:
> {noformat}
> key not found: col#16
> java.util.NoSuchElementException: key not found: col#16
> at scala.collection.MapLike$class.default(MapLike.scala:228)
> at org.apache.spark.sql.catalyst.expressions.AttributeMap.default(AttributeMap.scala:31)
> at scala.collection.MapLike$class.apply(MapLike.scala:141)
> at org.apache.spark.sql.catalyst.expressions.AttributeMap.apply(AttributeMap.scala:31)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$$anonfun$2.applyOrElse(Optimizer.scala:346)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$$anonfun$2.applyOrElse(Optimizer.scala:345)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:292)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:292)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:74)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:291)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:281)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$.org$apache$spark$sql$catalyst$optimizer$PushProjectionThroughUnion$$pushToRight(Optimizer.scala:345)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$$anonfun$apply$4$$anonfun$8$$anonfun$apply$31.apply(Optimizer.scala:378)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$$anonfun$apply$4$$anonfun$8$$anonfun$apply$31.apply(Optimizer.scala:378)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$$anonfun$apply$4$$anonfun$8.apply(Optimizer.scala:378)
> at org.apache.spark.sql.catalyst.optimizer.PushProjectionThroughUnion$$anonfun$apply$4$$anonfun$8.apply(Optimizer.scala:376)
> {noformat}
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