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Apache Spark commented on SPARK-5371: ------------------------------------- User 'marmbrus' has created a pull request for this issue: https://github.com/apache/spark/pull/5278 > Failure to analyze query with UNION ALL and double aggregation > -------------------------------------------------------------- > > Key: SPARK-5371 > URL: https://issues.apache.org/jira/browse/SPARK-5371 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.2.0, 1.3.0 > Reporter: David Ross > Assignee: Michael Armbrust > Priority: Critical > > This SQL session: > {code} > DROP TABLE > test1; > DROP TABLE > test2; > CREATE TABLE > test1 > ( > c11 INT, > c12 INT, > c13 INT, > c14 INT > ); > CREATE TABLE > test2 > ( > c21 INT, > c22 INT, > c23 INT, > c24 INT > ); > SELECT > MIN(t3.c_1), > MIN(t3.c_2), > MIN(t3.c_3), > MIN(t3.c_4) > FROM > ( > SELECT > SUM(t1.c11) c_1, > NULL c_2, > NULL c_3, > NULL c_4 > FROM > test1 t1 > UNION ALL > SELECT > NULL c_1, > SUM(t2.c22) c_2, > SUM(t2.c23) c_3, > SUM(t2.c24) c_4 > FROM > test2 t2 ) t3; > {code} > Produces this error: > {code} > 15/01/23 00:25:21 INFO thriftserver.SparkExecuteStatementOperation: Running > query 'SELECT > MIN(t3.c_1), > MIN(t3.c_2), > MIN(t3.c_3), > MIN(t3.c_4) > FROM > ( > SELECT > SUM(t1.c11) c_1, > NULL c_2, > NULL c_3, > NULL c_4 > FROM > test1 t1 > UNION ALL > SELECT > NULL c_1, > SUM(t2.c22) c_2, > SUM(t2.c23) c_3, > SUM(t2.c24) c_4 > FROM > test2 t2 ) t3' > 15/01/23 00:25:21 INFO parse.ParseDriver: Parsing command: SELECT > MIN(t3.c_1), > MIN(t3.c_2), > MIN(t3.c_3), > MIN(t3.c_4) > FROM > ( > SELECT > SUM(t1.c11) c_1, > NULL c_2, > NULL c_3, > NULL c_4 > FROM > test1 t1 > UNION ALL > SELECT > NULL c_1, > SUM(t2.c22) c_2, > SUM(t2.c23) c_3, > SUM(t2.c24) c_4 > FROM > test2 t2 ) t3 > 15/01/23 00:25:21 INFO parse.ParseDriver: Parse Completed > 15/01/23 00:25:21 ERROR thriftserver.SparkExecuteStatementOperation: Error > executing query: > java.util.NoSuchElementException: key not found: c_2#23488 > at scala.collection.MapLike$class.default(MapLike.scala:228) > at > org.apache.spark.sql.catalyst.expressions.AttributeMap.default(AttributeMap.scala:29) > at scala.collection.MapLike$class.apply(MapLike.scala:141) > at > org.apache.spark.sql.catalyst.expressions.AttributeMap.apply(AttributeMap.scala:29) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$$anonfun$1.applyOrElse(Optimizer.scala:77) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$$anonfun$1.applyOrElse(Optimizer.scala:76) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:135) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$.pushToRight(Optimizer.scala:76) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$$anonfun$apply$1$$anonfun$applyOrElse$6.apply(Optimizer.scala:98) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$$anonfun$apply$1$$anonfun$applyOrElse$6.apply(Optimizer.scala:98) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) > at scala.collection.AbstractTraversable.map(Traversable.scala:105) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$$anonfun$apply$1.applyOrElse(Optimizer.scala:98) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$$anonfun$apply$1.applyOrElse(Optimizer.scala:85) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:144) > at > org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:162) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformChildrenDown(TreeNode.scala:191) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:147) > at > org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:135) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$.apply(Optimizer.scala:85) > at > org.apache.spark.sql.catalyst.optimizer.UnionPushdown$.apply(Optimizer.scala:59) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:61) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1$$anonfun$apply$2.apply(RuleExecutor.scala:59) > at > scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:51) > at > scala.collection.IndexedSeqOptimized$class.foldLeft(IndexedSeqOptimized.scala:60) > at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:34) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:59) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$apply$1.apply(RuleExecutor.scala:51) > at scala.collection.immutable.List.foreach(List.scala:318) > at > org.apache.spark.sql.catalyst.rules.RuleExecutor.apply(RuleExecutor.scala:51) > at > org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan$lzycompute(SQLContext.scala:462) > at > org.apache.spark.sql.SQLContext$QueryExecution.optimizedPlan(SQLContext.scala:462) > at > org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:467) > at > org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:465) > at > org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:471) > at > org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:471) > at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:463) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.run(Shim13.scala:178) > at > org.apache.hive.service.cli.session.HiveSessionImpl.executeStatementInternal(HiveSessionImpl.java:231) > at > org.apache.hive.service.cli.session.HiveSessionImpl.executeStatement(HiveSessionImpl.java:212) > at sun.reflect.GeneratedMethodAccessor61.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:483) > at > org.apache.hive.service.cli.session.HiveSessionProxy.invoke(HiveSessionProxy.java:79) > at > org.apache.hive.service.cli.session.HiveSessionProxy.access$000(HiveSessionProxy.java:37) > at > org.apache.hive.service.cli.session.HiveSessionProxy$1.run(HiveSessionProxy.java:64) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) > at > org.apache.hadoop.hive.shims.HadoopShimsSecure.doAs(HadoopShimsSecure.java:493) > at > org.apache.hive.service.cli.session.HiveSessionProxy.invoke(HiveSessionProxy.java:60) > at com.sun.proxy.$Proxy18.executeStatement(Unknown Source) > at > org.apache.hive.service.cli.CLIService.executeStatement(CLIService.java:220) > at > org.apache.hive.service.cli.thrift.ThriftCLIService.ExecuteStatement(ThriftCLIService.java:344) > at > org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1313) > at > org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1298) > at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39) > at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39) > at > org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:55) > at > org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:206) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > 15/01/23 00:25:22 WARN thrift.ThriftCLIService: Error executing statement: > org.apache.hive.service.cli.HiveSQLException: > java.util.NoSuchElementException: key not found: c_2#23488 > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.run(Shim13.scala:189) > at > org.apache.hive.service.cli.session.HiveSessionImpl.executeStatementInternal(HiveSessionImpl.java:231) > at > org.apache.hive.service.cli.session.HiveSessionImpl.executeStatement(HiveSessionImpl.java:212) > at sun.reflect.GeneratedMethodAccessor61.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:483) > at > org.apache.hive.service.cli.session.HiveSessionProxy.invoke(HiveSessionProxy.java:79) > at > org.apache.hive.service.cli.session.HiveSessionProxy.access$000(HiveSessionProxy.java:37) > at > org.apache.hive.service.cli.session.HiveSessionProxy$1.run(HiveSessionProxy.java:64) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) > at > org.apache.hadoop.hive.shims.HadoopShimsSecure.doAs(HadoopShimsSecure.java:493) > at > org.apache.hive.service.cli.session.HiveSessionProxy.invoke(HiveSessionProxy.java:60) > at com.sun.proxy.$Proxy18.executeStatement(Unknown Source) > at > org.apache.hive.service.cli.CLIService.executeStatement(CLIService.java:220) > at > org.apache.hive.service.cli.thrift.ThriftCLIService.ExecuteStatement(ThriftCLIService.java:344) > at > org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1313) > at > org.apache.hive.service.cli.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1298) > at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39) > at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39) > at > org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:55) > at > org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:206) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > {code} > Some similar queries work. For example: > {code} > SELECT > MIN(t3.c_1), > MIN(t3.c_2), > MIN(t3.c_3), > MIN(t3.c_4) > FROM > ( > SELECT > SUM(t1.c11) c_1, > SUM(t1.c12) c_2, > SUM(t1.c13) c_3, > SUM(t1.c14) c_4 > FROM > test1 t1 > UNION ALL > SELECT > SUM(t2.c21) c_1, > SUM(t2.c22) c_2, > SUM(t2.c23) c_3, > SUM(t2.c24) c_4 > FROM > test2 t2 ) t3; > {code} > Works fine. Notice the only difference is the {{null}}. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org