Hi all,
Thank you very much for your help. It worked perfectly like this:
Configuration conf = new Configuration();
conf.setInteger("taskmanager.network.numberOfBuffers", 16000);
conf.setInteger("taskmanager.numberOfTaskSlots”,32);
final ExecutionEnvironment env =
ExecutionEnvironment.createLocalEnvironment(conf);
env.setParallelism(32);
I believe that setting taskmanager.numberOfTaskSlots is not necessary, but
setParallelism is, as by default 1 was taken.
Best regards,
Ana
On 22 Feb 2016, at 10:37, Ufuk Celebi <u...@apache.org<mailto:u...@apache.org>>
wrote:
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.mar...@gmail.com<mailto:balassi.mar...@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 <a...@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
