Thomas Dudziak created SPARK-7875:
-------------------------------------
Summary: Exception when using CLUSTER BY or ORDER BY
Key: SPARK-7875
URL: https://issues.apache.org/jira/browse/SPARK-7875
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.3.1
Environment: Mesos scheduler with fine-grained mode
Reporter: Thomas Dudziak
Under certain circumstances that I haven't yet been able to isolate, I get the
following error when doing a HQL query using HiveContext:
org.apache.spark.SparkException: Can only zip RDDs with same number of elements
in each partition
at
org.apache.spark.rdd.RDD$$anonfun$zip$1$$anon$1.hasNext(RDD.scala:746)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:56)
at
org.apache.spark.RangePartitioner$$anonfun$8.apply(Partitioner.scala:259)
at
org.apache.spark.RangePartitioner$$anonfun$8.apply(Partitioner.scala:257)
at org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:647)
at org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:647)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
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)
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