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Posted to issues@spark.apache.org by "Santiago M. Mola (JIRA)" <ji...@apache.org> on 2015/05/26 09:53:17 UTC
[jira] [Updated] (SPARK-3846) KryoException when doing joins in
SparkSQL
[ https://issues.apache.org/jira/browse/SPARK-3846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Santiago M. Mola updated SPARK-3846:
------------------------------------
Priority: Blocker (was: Major)
> KryoException when doing joins in SparkSQL
> -------------------------------------------
>
> Key: SPARK-3846
> URL: https://issues.apache.org/jira/browse/SPARK-3846
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.1.0, 1.2.0
> Reporter: Jianshi Huang
> Priority: Blocker
>
> The error is reproducible when I join two tables manually. The error message is like follows.
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 645 in stage 3.0 failed 4 times, most recent failure: Lost task 645.3 in stage 3.0 (TID 3802, ...): com.esotericsoftware.kryo.KryoException:
> Unable to find class: __wrapper$1$18e31777385a452ba0bc030e899bf5d1.__wrapper$1$18e31777385a452ba0bc030e899bf5d1$SpecificRow$1
> com.esotericsoftware.kryo.util.DefaultClassResolver.readName(DefaultClassResolver.java:138)
> com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:115)
> com.esotericsoftware.kryo.Kryo.readClass(Kryo.java:610)
> com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:721)
> com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:42)
> com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:34)
> com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:732)
> org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:133)
> org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133)
> org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
> scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> org.apache.spark.sql.execution.HashJoin$$anon$1.hasNext(joins.scala:101)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> org.apache.spark.sql.execution.GeneratedAggregate$$anonfun$8.apply(GeneratedAggregate.scala:198)
> org.apache.spark.sql.execution.GeneratedAggregate$$anonfun$8.apply(GeneratedAggregate.scala:165)
> org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:599)
> org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:599)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
> org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> org.apache.spark.scheduler.Task.run(Task.scala:56)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> java.lang.Thread.run(Thread.java:724)
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