[ https://issues.apache.org/jira/browse/SPARK-3846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jianshi Huang updated SPARK-3846: --------------------------------- Description: 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) was: 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, lvshdc5dn0215.lvs.paypal.com): 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) > 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 > > 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) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org