spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Yuming Wang (Jira)" <j...@apache.org>
Subject [jira] [Created] (SPARK-31620) TreeNodeException: Binding attribute, tree: sum#19L
Date Fri, 01 May 2020 06:32:00 GMT
Yuming Wang created SPARK-31620:
-----------------------------------

             Summary: TreeNodeException: Binding attribute, tree: sum#19L
                 Key: SPARK-31620
                 URL: https://issues.apache.org/jira/browse/SPARK-31620
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.4.5, 2.3.4, 3.0.0
            Reporter: Yuming Wang



{noformat}
scala> spark.sql("create temporary view t1 as select * from values (1, 2) as t1(a, b)")
res0: org.apache.spark.sql.DataFrame = []

scala> spark.sql("create temporary view t2 as select * from values (3, 4) as t2(c, d)")
res1: org.apache.spark.sql.DataFrame = []

scala> spark.sql("select sum(if(c > (select a from t1), d, 0)) as csum from t2").show
org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute, tree: sum#19L
  at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
  at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:75)
  at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:74)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$1(TreeNode.scala:309)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:309)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:314)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:399)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:237)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:397)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:350)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:314)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:314)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChild$2(TreeNode.scala:368)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$4(TreeNode.scala:427)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
  at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
  at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
  at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:38)
  at scala.collection.TraversableLike.map(TraversableLike.scala:238)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
  at scala.collection.AbstractTraversable.map(Traversable.scala:108)
  at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:427)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:237)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:397)
  at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:350)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:314)
  at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:298)
  at org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:74)
  at org.apache.spark.sql.catalyst.expressions.BindReferences$.$anonfun$bindReferences$1(BoundAttribute.scala:96)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:238)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReferences(BoundAttribute.scala:96)
  at org.apache.spark.sql.execution.aggregate.HashAggregateExec.$anonfun$doConsumeWithoutKeys$4(HashAggregateExec.scala:348)
  at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238)
  at scala.collection.immutable.List.foreach(List.scala:392)
  at scala.collection.TraversableLike.map(TraversableLike.scala:238)
  at scala.collection.TraversableLike.map$(TraversableLike.scala:231)
  at scala.collection.immutable.List.map(List.scala:298)
  at org.apache.spark.sql.execution.aggregate.HashAggregateExec.doConsumeWithoutKeys(HashAggregateExec.scala:347)
  at org.apache.spark.sql.execution.aggregate.HashAggregateExec.doConsume(HashAggregateExec.scala:175)
  at org.apache.spark.sql.execution.CodegenSupport.constructDoConsumeFunction(WholeStageCodegenExec.scala:221)
  at org.apache.spark.sql.execution.CodegenSupport.consume(WholeStageCodegenExec.scala:192)
  at org.apache.spark.sql.execution.CodegenSupport.consume$(WholeStageCodegenExec.scala:149)
  at org.apache.spark.sql.execution.InputAdapter.consume(WholeStageCodegenExec.scala:496)
  at org.apache.spark.sql.execution.InputRDDCodegen.doProduce(WholeStageCodegenExec.scala:483)
  at org.apache.spark.sql.execution.InputRDDCodegen.doProduce$(WholeStageCodegenExec.scala:456)
  at org.apache.spark.sql.execution.InputAdapter.doProduce(WholeStageCodegenExec.scala:496)
  at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:95)
  at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
  at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:90)
  at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:90)
  at org.apache.spark.sql.execution.InputAdapter.produce(WholeStageCodegenExec.scala:496)
  at org.apache.spark.sql.execution.aggregate.HashAggregateExec.doProduceWithoutKeys(HashAggregateExec.scala:243)
  at org.apache.spark.sql.execution.aggregate.HashAggregateExec.doProduce(HashAggregateExec.scala:167)
  at org.apache.spark.sql.execution.CodegenSupport.$anonfun$produce$1(WholeStageCodegenExec.scala:95)
  at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
  at org.apache.spark.sql.execution.CodegenSupport.produce(WholeStageCodegenExec.scala:90)
  at org.apache.spark.sql.execution.CodegenSupport.produce$(WholeStageCodegenExec.scala:90)
  at org.apache.spark.sql.execution.aggregate.HashAggregateExec.produce(HashAggregateExec.scala:48)
  at org.apache.spark.sql.execution.WholeStageCodegenExec.doCodeGen(WholeStageCodegenExec.scala:632)
  at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:692)
  at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:175)
  at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:213)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:210)
  at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:171)
  at org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:316)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:434)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:420)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:47)
  at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3626)
  at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2695)
  at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3616)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:100)
  at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:160)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:87)
  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:763)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3614)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2695)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2902)
  at org.apache.spark.sql.Dataset.getRows(Dataset.scala:300)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:337)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:824)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:783)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:792)
  ... 47 elided
Caused by: java.lang.RuntimeException: Couldn't find sum#19L in [sum#13L,sum#12L]
  at scala.sys.package$.error(package.scala:30)
  at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.$anonfun$applyOrElse$1(BoundAttribute.scala:81)
  at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
  ... 140 more
{noformat}




--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message