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From Michele Bertoni <michele1.bert...@mail.polimi.it>
Subject Re: Yarn configuration
Date Mon, 27 Jul 2015 09:07:36 GMT
I have been able to run 5 tm with -jm 2048 and -tm 20992 and 8 slots each but in flink dashboard
it says “Flink Managed Memory 10506mb” with an exclamation mark saying it is much smaller
than the physical memory (30105mb)…that’s true but i cannot run the cluster with more
than 20992

thanks


Il giorno 27/lug/2015, alle ore 11:02, Michele Bertoni <michele1.bertoni@mail.polimi.it<mailto:michele1.bertoni@mail.polimi.it>>
ha scritto:

Hi Robert,
thanks for answering, today I have been able to try again: no in an EMR configuration with
1 master and 5 core I have 5 active node in the resource manager…sounds strange to me: ganglia
shows 6 nodes and 1 is always offload

the total amount of memory is 112.5GB that is actually 22.5 for each of the 5

now i am a little lost because I thought I was running 5 node for 5 tm and the 6th (master
one) as jm but it seems like I have to use the 5 core as both tm and jm



btw which is a good parameter for number of buffer?


thanks,
Best
michele


Il giorno 24/lug/2015, alle ore 16:38, Robert Metzger <rmetzger@apache.org<mailto:rmetzger@apache.org>>
ha scritto:

Hi Michele,

configuring a YARN cluster to allocate all available resources as good as possible is sometimes
tricky, that is true.
We are aware of these problems and there are actually the following two JIRAs for this:
https://issues.apache.org/jira/browse/FLINK-937 (Change the YARN Client to allocate all cluster
resources, if no argument given) --> I think the consensus on the issue was give users
an option to allocate everything (so don't do it by default)
https://issues.apache.org/jira/browse/FLINK-1288 (YARN ApplicationMaster sometimes fails to
allocate the specified number of workers)

How many NodeManager's is YARN reporting in the ResourceManager UI? (in "Active Nodes" column)
(I suspect 6?)
How much memory per NodeManager is YARN reporting? (You can see this in the "Nodes" page of
the RM)

> I would like to run 5 nodes with 8 slots each, is it correct?

Yes.


> Then i reduced memories, everything started but i get a runtime error of missing buffer

What exactly is the exception?
I guess you have to give the system a few more network buffers using the taskmanager.network.numberOfBuffers
config parameter.

> Can someone help me syep-by-step in a good configuration for such cluster? I think the
documentation is really missing details

When starting Flink on YARN, there are usually some WARN log messages in the beginning when
the system detects that specified containers will not fit in the cluster.
Also, in the ResourceManager UI, you can see the status of the scheduler. This often helps
to understand what's going on, resource-wise.



On Fri, Jul 24, 2015 at 3:58 PM, Michele Bertoni <michele1.bertoni@mail.polimi.it<mailto:michele1.bertoni@mail.polimi.it>>
wrote:
Hi everybody, i need a help on how to configure a yarn cluster
I tried a lot of conf but none of them was correct

We have a cluster on amazon emr let's say 1manager+5worker all of them are m3.2xlarge then
8 core each and 30 GB of RAM each

What is a good configuration for such cluster?

I would like to run 5 nodes with 8 slots each, is it correct?

Now the problems: by now i run all tests mistakenly using 40 task managers each with 2048MB
and 1 slot (at least it was working)

Today i found the error and i tried run 5 task manager and setting a default slot in conf-yaml
of 8, giving a task manager memory of 23040 (-tm 23040) that is the limit allowed by yarn
but i am getting errors: one TM is not running because there is no available memory. it seems
like the jm is not using memory from the master but from the nodes (in fact yarn says TM number
5 is missing 2048 that is the memory for the jm)

Then i reduced memories, everything started but i get a runtime error of missing buffer

Can someone help me syep-by-step in a good configuration for such cluster? I think the documentation
is really missing details

Thanks a lot
Best
Michele



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