flink-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Ufuk Celebi <...@apache.org>
Subject Re: Use jvm to run flink on single-node machine with many cores
Date Mon, 22 Feb 2016 09:37:16 GMT
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> 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.
> [1]
> https://ci.apache.org/projects/flink/flink-docs-master/setup/local_setup.html
> 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

View raw message