Hi Alex,

What precautions should I take when I do MR work with Erlang.


On Thu, Jun 5, 2014 at 7:14 PM, Alex Moore <amo...@basho.com> wrote:

> Hi Naveen,
>
> You are running out of MR workers, you’ll either have to:
> a) Increase the worker limits on the current
> nodes (particularly map_js_vm_count and reduce_js_vm_count)
> b) Add more nodes (and thereby more workers)
> c) Do less MR work.
> d) Implement your MapReduce functions in Erlang to avoid the JS VM
> altogether
>
> Bryan Fink has a nice writeup on how to estimate your MR worker needs
> here:
>
> http://riak-users.197444.n3.nabble.com/Follow-up-Riak-Map-Reduce-error-preflist-exhausted-tp4024330p4024380.html
>
> Thanks,
> Alex
>
> On Jun 4, 2014, at 7:58 AM, Naveen Tamanam <naveen32in...@gmail.com>
> wrote:
>
> Hi Guys,
>
>
> I have 5 nodes riak cluster in  use. Each machine is having 16GB ram.  All
> those 5 machines are
> ​dedicated for riak only. No other application is there to eat resources. ​
> ​I use to do a lot of work with
> map reduce queries. Having a may map reduce queries with both map and
> reduce phases.
> I have many cases with the  the following error and log messages, ​
>
> ​
>                           "error":"[preflist_exhausted]"
>                          RiakError: 'could not get a response'
>                          All VMs are busy
>
> I know  above errors can be avoided with fine tuned riak configuration
> options. I am looking for recommended values
> Here  are  few riak configuration options currently I have on each node,
>
>               { kernel, [
>             {inet_dist_listen_min, 6000},
>             {inet_dist_listen_max, 7999}
>           ]},
>
>                {map_js_vm_count, 48 },
>                {reduce_js_vm_count, 26 },
>                {hook_js_vm_count, 12 },
>                 {js_max_vm_mem, 32},
>                  {js_thread_stack, 16}
>
>
>
>
>
>
>
>
> ​
>
> --
> Thanks & Regards,
> Naveen Tamanam
> ​​
>
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>
>
>


-- 
Thanks & Regards,
Naveen Tamanam
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