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Posted to issues@spark.apache.org by "Liyin Tang (JIRA)" <ji...@apache.org> on 2016/03/24 19:35:25 UTC
[jira] [Comment Edited] (SPARK-14105) Serialization issue for
KafkaRDD
[ https://issues.apache.org/jira/browse/SPARK-14105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15210734#comment-15210734 ]
Liyin Tang edited comment on SPARK-14105 at 3/24/16 6:35 PM:
-------------------------------------------------------------
Add the min code example to reproduce this issue in the jira description.
There is another way to work around this issue without changing KafkaRDD code, which register a customized Kryo serialization implementation for Kafka Message. In this way, we don't have to deep copy each message.
was (Author: liyin):
Add the min code example to reproduce this issue.
There is another way to work around this issue without changing KafkaRDD code, which register a customized Kryo serialization implementation for Kafka Message. In this way, we don't have to deep copy each message.
> Serialization issue for KafkaRDD
> --------------------------------
>
> Key: SPARK-14105
> URL: https://issues.apache.org/jira/browse/SPARK-14105
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.5.2, 1.6.1
> Reporter: Liyin Tang
> Attachments: Screenshot 2016-03-23 09.04.51.png
>
>
> 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 is the min code to reproduce this issue:
> ```
> // create source stream object
> val ssc = new StreamingContext(sparkConf, Seconds(intervalSeconds))
> // Create topic, kafkaParams, messageHandler and offsetnRanges
> val topicsSet: Set[String] = "flog".split(",").toSet
> val kafkaParams = Map[String, String]("metadata.broker.list" -> KafkaCluster.MAIN.getKafkaConnString)
> val messageHandler = (mmd: MessageAndMetadata[String, String]) => mmd
> val topicPartitionOffsetRange = KafkaOffsetsUtil.getKafkaOffsets(
> KafkaCluster.MAIN,
> topicsSet.toList.asJava,
> kafka.api.OffsetRequest.LatestTime).toMap.mapValues(Long2long).take(10)
> // Create an DStream
> val inputStream = KafkaUtils.createDirectStream[String, String, StringDecoder, StringDecoder, MessageAndMetadata[String, String]](
> ssc,
> kafkaParams,
> topicPartitionOffsetRange,
> messageHandler)
> // Apply window function
> inputStream.window(Seconds(slidingWindowInterval), Seconds(intervalSeconds)).foreachRDD(rdd => rdd.count())
> ssc.start()
> ssc.awaitTermination()
> ```
> 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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