Tom, Can you file a JIRA and attach a small reproducible test case if possible?
On Tue, May 19, 2015 at 1:50 PM, Thomas Dudziak <tom...@gmail.com> wrote: > Under certain circumstances that I haven't yet been able to isolate, I get > the following error when doing a HQL query using HiveContext (Spark 1.3.1 > on Mesos, fine-grained mode). Is this a known problem or should I file a > JIRA for it ? > > > 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) > >
