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Posted to issues@spark.apache.org by "Tsuyoshi OZAWA (JIRA)" <ji...@apache.org> on 2014/12/01 19:43:12 UTC
[jira] [Updated] (SPARK-4678) A SQL query with subquery fails with
TreeNodeException
[ https://issues.apache.org/jira/browse/SPARK-4678?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tsuyoshi OZAWA updated SPARK-4678:
----------------------------------
Summary: A SQL query with subquery fails with TreeNodeException (was: A SQL query with subquery fails)
> A SQL query with subquery fails with TreeNodeException
> ------------------------------------------------------
>
> Key: SPARK-4678
> URL: https://issues.apache.org/jira/browse/SPARK-4678
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.1.1
> Reporter: Tsuyoshi OZAWA
>
> {code}
> spark-sql> create external table if NOT EXISTS randomText100GB(text string) location 'hdfs:///user/ozawa/randomText100GB';
> spark-sql> CREATE TABLE wordcount AS
> > SELECT word, count(1) AS count
> > FROM (SELECT EXPLODE(SPLIT(LCASE(REGEXP_REPLACE(text,'[\\p{Punct},\\p{Cntrl}]','')),' '))
> > AS word FROM randomText100GB) words
> > GROUP BY word;
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 9 in stage 1.0 failed 4 times, most recent failure: Lost task 9.3 in stage 1.0 (TID 25, hadoop-slave2.c.gcp-s
> amples.internal): org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute, tree: word#5
> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:47)
> org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:43)
> org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:42)
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:165)
> org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:156)
> org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:42)
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:52)
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:52)
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
> scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> scala.collection.AbstractTraversable.map(Traversable.scala:105)
> org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.<init>(Projection.scala:52)
> org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:106)
> org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:106)
> org.apache.spark.sql.execution.Project$$anonfun$1.apply(basicOperators.scala:43)
> org.apache.spark.sql.execution.Project$$anonfun$1.apply(basicOperators.scala:42)
> org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
> org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> org.apache.spark.scheduler.Task.run(Task.scala:54)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:745)
> {code}
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