Liyin Tang created SPARK-14105:
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Summary: Serialization issue for KafkaRDD
Key: SPARK-14105
URL: https://issues.apache.org/jira/browse/SPARK-14105
Project: Spark
Issue Type: Bug
Reporter: Liyin Tang
When using DISK or Memory to persistent KafkaDirectInputStream, it will
serialize the FetchResponse into blocks. The FetchResponse contains the
ByteBufferMessageSet where each Kafka Message is just one slice of the
underlying ByteBuffer.
When serializing the KafkaRDDIterator, it seems like the entire underlying
ByteBuffer in ByteBufferMessageSet will be serialized for each and every
message. This will cause block size easily exceeds 2G, and lead to
"java.lang.OutOfMemoryError: Requested array size exceeds VM limit" or
"FileChannelImpl.map -> exceeds Integer.MAX_VALUE:"
The consumer fetch is the default value (1M). I tried to reduce fetch size,
but it will cause other errors like errRanOutBeforeEnd.
Here are exceptions I got for both Memory and Disk persistent.
Memory Persistent:
16/03/23 15:34:44 ERROR SparkUncaughtExceptionHandler: Uncaught exception in
thread Thread[Executor task launch worker-9,5,main]
java.lang.OutOfMemoryError: Requested array size exceeds VM limit
at java.util.Arrays.copyOf(Arrays.java:3236)
at java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82)
at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126)
at com.esotericsoftware.kryo.io.Output.flush(Output.java:155)
at com.esotericsoftware.kryo.io.Output.require(Output.java:135)
at com.esotericsoftware.kryo.io.Output.writeBytes(Output.java:220)
at com.esotericsoftware.kryo.io.Output.writeBytes(Output.java:206)
at
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.write(DefaultArraySerializers.java:29)
at
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ByteArraySerializer.write(DefaultArraySerializers.java:18)
at com.esotericsoftware.kryo.Kryo.writeObjectOrNull(Kryo.java:549)
at
com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:570)
at
com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
at
com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
at
com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
at
com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
at
com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
at
org.apache.spark.serializer.KryoSerializationStream.writeObject(KryoSerializer.scala:158)
at
org.apache.spark.serializer.SerializationStream.writeAll(Serializer.scala:153)
at
org.apache.spark.storage.BlockManager.dataSerializeStream(BlockManager.scala:1190)
at
org.apache.spark.storage.BlockManager.dataSerialize(BlockManager.scala:1199)
at org.apache.spark.storage.MemoryStore.putArray(MemoryStore.scala:132)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:793)
at org.apache.spark.storage.BlockManager.putArray(BlockManager.scala:669)
at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:175)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
Disk Persistent:
16/03/23 17:04:00 INFO TaskSetManager: Lost task 42.1 in stage 2.0 (TID 974) on
executor i-2878ceb3.inst.aws.airbnb.com: java.lang.RuntimeException
(java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
at sun.nio.ch.FileChannelImpl.map(FileChannelImpl.java:836)
at
org.apache.spark.storage.DiskStore$$anonfun$getBytes$2.apply(DiskStore.scala:125)
at
org.apache.spark.storage.DiskStore$$anonfun$getBytes$2.apply(DiskStore.scala:113)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1206)
at org.apache.spark.storage.DiskStore.getBytes(DiskStore.scala:127)
at org.apache.spark.storage.DiskStore.getBytes(DiskStore.scala:134)
at org.apache.spark.storage.BlockManager.doGetLocal(BlockManager.scala:512)
at
org.apache.spark.storage.BlockManager.getBlockData(BlockManager.scala:302)
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