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Posted to issues@spark.apache.org by "Sandy Ryza (JIRA)" <ji...@apache.org> on 2014/12/18 16:31:13 UTC
[jira] [Created] (SPARK-4885) Enable fetched blocks to exceed 2 GB
by chaining buffers
Sandy Ryza created SPARK-4885:
---------------------------------
Summary: Enable fetched blocks to exceed 2 GB by chaining buffers
Key: SPARK-4885
URL: https://issues.apache.org/jira/browse/SPARK-4885
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 1.2.0
Reporter: Sandy Ryza
{code}
14/12/18 09:53:13 ERROR executor.ExecutorUncaughtExceptionHandler: Uncaught exception in thread Thread[handle-message-executor-12,5,main]
java.lang.OutOfMemoryError: Requested array size exceeds VM limit
at java.util.Arrays.copyOf(Arrays.java:2271)
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.writeLong(Output.java:477)
at com.esotericsoftware.kryo.io.Output.writeDouble(Output.java:596)
at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$DoubleArraySerializer.write(DefaultArraySerializers.java:212)
at com.esotericsoftware.kryo.serializers.DefaultArraySerializers$DoubleArraySerializer.write(DefaultArraySerializers.java:200)
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.writeClassAndObject(Kryo.java:568)
at org.apache.spark.serializer.KryoSerializationStream.writeObject(KryoSerializer.scala:119)
at org.apache.spark.serializer.SerializationStream.writeAll(Serializer.scala:110)
at org.apache.spark.storage.BlockManager.dataSerializeStream(BlockManager.scala:1054)
at org.apache.spark.storage.BlockManager.dataSerialize(BlockManager.scala:1063)
at org.apache.spark.storage.MemoryStore.getBytes(MemoryStore.scala:154)
at org.apache.spark.storage.BlockManager.doGetLocal(BlockManager.scala:428)
at org.apache.spark.storage.BlockManager.getLocalBytes(BlockManager.scala:394)
at org.apache.spark.storage.BlockManagerWorker.getBlock(BlockManagerWorker.scala:100)
at org.apache.spark.storage.BlockManagerWorker.processBlockMessage(BlockManagerWorker.scala:79)
at org.apache.spark.storage.BlockManagerWorker$$anonfun$2.apply(BlockManagerWorker.scala:48)
at org.apache.spark.storage.BlockManagerWorker$$anonfun$2.apply(BlockManagerWorker.scala:48)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
{code}
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