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From Márton Balassi <balassi.mar...@gmail.com>
Subject Re: Use jvm to run flink on single-node machine with many cores
Date Sun, 21 Feb 2016 12:41:51 GMT
Dear Ana,

If you are using a single machine with multiple cores, but need convenient
access to the configuration I would personally recommend using the local
cluster option in the flink distribution. [1] If you want to avoid having a
flink distro on the machine, then Robert's solution is the way to go.


On Sun, Feb 21, 2016 at 1:34 PM, Ana M. Martinez <ana@cs.aau.dk> wrote:

> Hi all,
> I am trying to run a program using the flink java library with
> ExecutionEnvironment.getExecutionEnvironment() from the command line using
> java -jar.
> If I run the code in my machine (with four cores) or in a multi-node
> cluster (using yarn) the program runs normally, but if I want to run it on
> a machine with a single node and 32 cores using java -jar I get the
> following error:
> 02/21/2016 13:33:09 MapPartition (MapPartition at
> toBatches(ConversionToBatches.java:55))(29/32) switched to FAILED
> java.io.IOException: Insufficient number of network buffers: required 1,
> but only 0 available. The total number of network buffers is currently set
> to 2048. You can increase this number by setting the configuration key
> 'taskmanager.network.numberOfBuffers'.
> at
> org.apache.flink.runtime.io.network.buffer.NetworkBufferPool.createBufferPool(NetworkBufferPool.java:196)
> at
> org.apache.flink.runtime.io.network.NetworkEnvironment.registerTask(NetworkEnvironment.java:325)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:488)
> at java.lang.Thread.run(Thread.java:745)
> In this case (java -jar), I don’t know if or how I can increase the number
> of network buffers. Is there a way to do it without having to use yarn (as
> I don’t have hadoop installed)?
> Thanks,
> Ana

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