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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:34 UTC
[jira] [Updated] (SPARK-6497) Class is not registered:
scala.reflect.ManifestFactory$$anon$9
[ https://issues.apache.org/jira/browse/SPARK-6497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-6497:
--------------------------------
Labels: bulk-closed (was: )
> Class is not registered: scala.reflect.ManifestFactory$$anon$9
> --------------------------------------------------------------
>
> Key: SPARK-6497
> URL: https://issues.apache.org/jira/browse/SPARK-6497
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.0, 1.4.0, 1.5.0, 1.5.2
> Reporter: Daniel Darabos
> Priority: Major
> Labels: bulk-closed
>
> This is a slight regression from Spark 1.2.1 to 1.3.0.
> {noformat}
> spark-1.2.1-bin-hadoop2.4/bin/spark-shell --conf spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.kryo.registrationRequired=true --conf 'spark.kryo.classesToRegister=scala.collection.mutable.WrappedArray$ofRef,[Lscala.Tuple2;'
> scala> sc.parallelize(Seq(1 -> 1)).groupByKey.collect
> res0: Array[(Int, Iterable[Int])] = Array((1,CompactBuffer(1)))
> {noformat}
> {noformat}
> spark-1.3.0-bin-hadoop2.4/bin/spark-shell --conf spark.serializer=org.apache.spark.serializer.KryoSerializer --conf spark.kryo.registrationRequired=true --conf 'spark.kryo.classesToRegister=scala.collection.mutable.WrappedArray$ofRef,[Lscala.Tuple2;'
> scala> sc.parallelize(Seq(1 -> 1)).groupByKey.collect
> Lost task 1.0 in stage 3.0 (TID 25, localhost): com.esotericsoftware.kryo.KryoException: java.lang.IllegalArgumentException: Class is not registered: scala.reflect.ManifestFactory$$anon$9
> Note: To register this class use: kryo.register(scala.reflect.ManifestFactory$$anon$9.class);
> Serialization trace:
> evidence$1 (org.apache.spark.util.collection.CompactBuffer)
> at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:585)
> at com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at com.twitter.chill.Tuple2Serializer.write(TupleSerializers.scala:37)
> at com.twitter.chill.Tuple2Serializer.write(TupleSerializers.scala:33)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:318)
> at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.write(DefaultArraySerializers.java:293)
> at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
> at org.apache.spark.serializer.KryoSerializerInstance.serialize(KryoSerializer.scala:161)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.IllegalArgumentException: Class is not registered: scala.reflect.ManifestFactory$$anon$9
> Note: To register this class use: kryo.register(scala.reflect.ManifestFactory$$anon$9.class);
> at com.esotericsoftware.kryo.Kryo.getRegistration(Kryo.java:442)
> at com.esotericsoftware.kryo.util.DefaultClassResolver.writeClass(DefaultClassResolver.java:79)
> at com.esotericsoftware.kryo.Kryo.writeClass(Kryo.java:472)
> at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:561)
> ... 13 more
> {noformat}
> In our production code the exception is actually about {{scala.reflect.ManifestFactory$$anon$8}} instead of {{scala.reflect.ManifestFactory$$anon$9}} but it's probably the same thing. Any idea what caused from 1.2.1 to 1.3.0 that could be causing this?
> We also get exceptions in 1.3.0 for {{scala.reflect.ClassTag$$anon$1}} and {{java.lang.Class}}, but I haven't reduced them to a spark-shell reproduction yet. We can of course just register these classes ourselves.
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