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Posted to issues@spark.apache.org by "Herman van Hovell (JIRA)" <ji...@apache.org> on 2016/08/26 16:36:20 UTC
[jira] [Commented] (SPARK-17251) "ClassCastException:
OuterReference cannot be cast to NamedExpression" for correlated subquery
on the RHS of an IN operator
[ https://issues.apache.org/jira/browse/SPARK-17251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15439360#comment-15439360 ]
Herman van Hovell commented on SPARK-17251:
-------------------------------------------
Ok, I have taken a look at this one. We should make {{OuterReference}} a {{NamedExpression}} and then we are good (have most of the code working locally).
If we fix this, it will fail analysis because we are using a correlated predicate in a {{Project}}. We could make an exception for IN, but I am just wondering if we support such a weird construct at all.
> "ClassCastException: OuterReference cannot be cast to NamedExpression" for correlated subquery on the RHS of an IN operator
> ---------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-17251
> URL: https://issues.apache.org/jira/browse/SPARK-17251
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Josh Rosen
>
> The following test case produces a ClassCastException in the analyzer:
> {code}
> CREATE TABLE t1(a INTEGER);
> INSERT INTO t1 VALUES(1),(2);
> CREATE TABLE t2(b INTEGER);
> INSERT INTO t2 VALUES(1);
> SELECT a FROM t1 WHERE a NOT IN (SELECT a FROM t2);
> {code}
> Here's the exception:
> {code}
> java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.OuterReference cannot be cast to org.apache.spark.sql.catalyst.expressions.NamedExpression
> at org.apache.spark.sql.catalyst.plans.logical.Project$$anonfun$1.apply(basicLogicalOperators.scala:48)
> at scala.collection.LinearSeqOptimized$class.exists(LinearSeqOptimized.scala:80)
> at scala.collection.immutable.List.exists(List.scala:84)
> at org.apache.spark.sql.catalyst.plans.logical.Project.resolved$lzycompute(basicLogicalOperators.scala:44)
> at org.apache.spark.sql.catalyst.plans.logical.Project.resolved(basicLogicalOperators.scala:43)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveSubquery$$resolveSubQuery(Analyzer.scala:1091)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$$anonfun$org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveSubquery$$resolveSubQueries$1.applyOrElse(Analyzer.scala:1130)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$$anonfun$org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveSubquery$$resolveSubQueries$1.applyOrElse(Analyzer.scala:1116)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:279)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:278)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:284)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionDown$1(QueryPlan.scala:156)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.org$apache$spark$sql$catalyst$plans$QueryPlan$$recursiveTransform$1(QueryPlan.scala:166)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$$anonfun$4.apply(QueryPlan.scala:175)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressionsDown(QueryPlan.scala:175)
> at org.apache.spark.sql.catalyst.plans.QueryPlan.transformExpressions(QueryPlan.scala:144)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveSubquery$$resolveSubQueries(Analyzer.scala:1116)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$$anonfun$apply$16.applyOrElse(Analyzer.scala:1148)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$$anonfun$apply$16.applyOrElse(Analyzer.scala:1141)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:61)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:61)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:69)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:60)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:58)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:58)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:321)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:179)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:319)
> at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:58)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$.apply(Analyzer.scala:1141)
> at org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveSubquery$.apply(Analyzer.scala:909)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:111)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:318)
> at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:65)
> at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:63)
> at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:682)
> {code}
> This bug was discovered while trying to run SQLite bug reports through Spark SQL (see https://www.sqlite.org/src/tktview?name=5e3c886796)
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