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From "Ana M. Martinez" <...@cs.aau.dk>
Subject Re: Use jvm to run flink on single-node machine with many cores
Date Tue, 23 Feb 2016 09:17:53 GMT
Hi all,

Thank you very much for your help. It worked perfectly like this:

Configuration conf = new Configuration();
conf.setInteger("taskmanager.network.numberOfBuffers", 16000);
final ExecutionEnvironment env = ExecutionEnvironment.createLocalEnvironment(conf);


I believe that setting taskmanager.numberOfTaskSlots is not necessary, but setParallelism
is, as by default 1 was taken.

Best regards,

On 22 Feb 2016, at 10:37, Ufuk Celebi <uce@apache.org<mailto:uce@apache.org>>

Note that the method to call in the example should be
`conf.setInteger` and the second argument not a String but an int.

On Sun, Feb 21, 2016 at 1:41 PM, Márton Balassi
<balassi.marton@gmail.com<mailto:balassi.marton@gmail.com>> wrote:
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

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
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)?


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