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  1. Spark
  2. SPARK-34646

TreeNode bind issue for duplicate column name.

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Incomplete
    • Affects Version/s: 2.4.3
    • Fix Version/s: None
    • Component/s: Spark Submit
    • Labels:
    • Environment:

      Spark 2.4.3, Scala 2.11.8, Hadoop 3.2.1

      Description

      I received a Spark TreeNodeException executing a union of two data frames. When I assign the union results to a DataFrame that will be returned by a function, this error occurs. However, I am able to assign the union results to a DataFrame that will not be returned. I have examined the schema for all the data frames participating in the code. The PT_Id is being duplicated. The PT_Id is duplicated and results in the failed search.

       
       
      {{21/03/04 19:58:28 ERROR Executor: Exception in task 2.0 in stage 2281.0 (TID 5557)
      org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute, tree: PT_ID#140575 at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
      at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:79)
      at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:78)
      at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:256)
      at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:256)
      at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
      at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:255)
      at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
      at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:261)
      at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:326)
      at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
      at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:324)
      at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:261)
      at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:245)
      at org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:78)
      at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$.bind(GeneratePredicate.scala:45)
      at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$.bind(GeneratePredicate.scala:40)
      at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:1190)
      at org.apache.spark.sql.execution.SparkPlan.newPredicate(SparkPlan.scala:403)
      at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec.org$apache$spark$sql$execution$joins$BroadcastNestedLoopJoinExec$$boundCondition$lzycompute(BroadcastNestedLoopJoinExec.scala:87)
      at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec.org$apache$spark$sql$execution$joins$BroadcastNestedLoopJoinExec$$boundCondition(BroadcastNestedLoopJoinExec.scala:85)
      at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec$$anonfun$4$$anonfun$apply$2$$anonfun$apply$3.apply(BroadcastNestedLoopJoinExec.scala:191)
      at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec$$anonfun$4$$anonfun$apply$2$$anonfun$apply$3.apply(BroadcastNestedLoopJoinExec.scala:191)
      at scala.collection.IndexedSeqOptimized$class.prefixLengthImpl(IndexedSeqOptimized.scala:38)
      at scala.collection.IndexedSeqOptimized$class.exists(IndexedSeqOptimized.scala:46)
      at scala.collection.mutable.ArrayOps$ofRef.exists(ArrayOps.scala:186)
      at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec$$anonfun$4$$anonfun$apply$2.apply(BroadcastNestedLoopJoinExec.scala:191)
      at org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec$$anonfun$4$$anonfun$apply$2.apply(BroadcastNestedLoopJoinExec.scala:190)
      at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:464)
      at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
      at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
      at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
      at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
      at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
      at org.apache.spark.scheduler.Task.run(Task.scala:121)
      at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
      at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
      at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
      at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
      at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
      at java.lang.Thread.run(Thread.java:748)Caused by: java.lang.RuntimeException: Couldn't find PT_Id#140575 in Name#34180,PT_Id#34181,PT_Id#127
      at scala.sys.package$.error(package.scala:27)
      at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:85)
      at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:79)
      at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
      ... 40 more}}

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            • Assignee:
              Unassigned
              Reporter:
              lpn451 loc nguyen
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              • Created:
                Updated:
                Resolved: