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    Expert tip

    Kryo doesn't accept multi-threaded data access, there's a few workarounds for this, such as duplicating the buffer, but they sacrifice a bit of performance.

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via GitHub by car2008
, 1 year ago
Encountered unregistered class ID: 2422353
via GitHub by car2008
, 1 year ago
Encountered unregistered class ID: 4267
via GitHub by Gladmir
, 1 year ago
Encountered unregistered class ID: 46
via Google Groups by Venu Kemthur, 1 year ago
via apache.org by Unknown author, 2 years ago
Encountered unregistered class ID: 114
via GitHub by pablo-rago
, 2 years ago
Encountered unregistered class ID: 81
com.esotericsoftware.kryo.KryoException: Encountered unregistered class ID: 2422353	at com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:119)	at com.esotericsoftware.kryo.Kryo.readClass(Kryo.java:610)	at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:721)	at org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:228)	at org.apache.spark.serializer.DeserializationStream.readValue(Serializer.scala:171)	at org.apache.spark.serializer.DeserializationStream$$anon$2.getNext(Serializer.scala:201)	at org.apache.spark.serializer.DeserializationStream$$anon$2.getNext(Serializer.scala:198)	at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)	at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:197)	at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:103)	at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:98)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)	at org.apache.spark.scheduler.Task.run(Task.scala:89)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)	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)