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From Arian Pasquali <ar...@arianpasquali.com>
Subject Re: java.lang.OutOfMemoryError: Requested array size exceeds VM limit
Date Mon, 20 Oct 2014 11:31:50 GMT
Hi Akhil,
thanks for your help

but I was originally running without xmx option. With that I was just
trying to push the limit of my heap size, but obviously doing it wrong.




Arian Pasquali
http://about.me/arianpasquali

2014-10-20 12:24 GMT+01:00 Akhil Das <akhil@sigmoidanalytics.com>:

> Hi Arian,
>
> You will get this exception because you are trying to create an array that
> is larger than the maximum contiguous block of memory in your Java VMs heap.
>
> Here since you are setting Worker memory as *5Gb* and you are exporting
> the *_OPTS as *8Gb*, your application actually thinks it has 8Gb of
> memory where as it only has 5Gb and hence it exceeds the VM Limit.
>
>
>
> Thanks
> Best Regards
>
> On Mon, Oct 20, 2014 at 4:42 PM, Arian Pasquali <arian@arianpasquali.com>
> wrote:
>
>> Hi,
>> I’m using Spark 1.1.0 and I’m having some issues to setup memory options.
>> I get “Requested array size exceeds VM limit” and I’m probably missing
>> something regarding memory configuration
>> <https://spark.apache.org/docs/1.1.0/configuration.html>.
>>
>> My server has 30G of memory and this are my current settings.
>>
>> ##this one seams that was deprecated
>> export SPARK_MEM=‘25g’
>>
>> ## worker memory options seams to be the memory for each worker (by
>> default we have a worker for each core)
>> export SPARK_WORKER_MEMORY=‘5g’
>>
>> I probably need to specify some options using SPARK_DAEMON_JAVA_OPTS, but
>> I’m not quite sure how.
>> I have tried some different options like the following, but I still
>> couldn’t make it right:
>>
>> export SPARK_DAEMON_JAVA_OPTS='-Xmx8G -XX:+UseCompressedOops'
>> export JAVA_OPTS='-Xmx8G -XX:+UseCompressedOops'
>>
>> Does anyone has any idea how can I approach this?
>>
>>
>>
>>
>> 14/10/11 13:00:16 INFO BlockFetcherIterator$BasicBlockFetcherIterator:
>> maxBytesInFlight: 50331648, targetRequestSize: 10066329
>> 14/10/11 13:00:16 INFO BlockFetcherIterator$BasicBlockFetcherIterator:
>> Getting 1566 non-empty blocks out of 1566 blocks
>> 14/10/11 13:00:16 INFO BlockFetcherIterator$BasicBlockFetcherIterator:
>> Started 0 remote fetches in 4 ms
>> 14/10/11 13:02:06 INFO ExternalAppendOnlyMap: Thread 63 spilling
>> in-memory map of 3925 MB to disk (1 time so far)
>> 14/10/11 13:05:17 INFO ExternalAppendOnlyMap: Thread 63 spilling
>> in-memory map of 3925 MB to disk (2 times so far)
>> 14/10/11 13:09:15 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID
>> 1566)
>> java.lang.OutOfMemoryError: Requested array size exceeds VM limit
>>         at java.util.Arrays.copyOf(Arrays.java:2271)
>>         at
>> java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
>>         at
>> java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
>>         at
>> java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
>>         at
>> java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1876)
>>         at
>> java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1785)
>>         at
>> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1188)
>>         at
>> java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
>>         at
>> org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
>>         at
>> org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:73)
>>         at
>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
>>         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)
>> 14/10/11 13:09:15 ERROR ExecutorUncaughtExceptionHandler: Uncaught
>> exception in thread Thread[Executor task launch worker-2,5,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
>>
>>
>> Arian
>>
>
>

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