With ES on a single machine, "tuning" does not cure the symptoms in the
long run. ES was designed to scale out on many nodes, so the simplest path
is to add nodes.

In a restricted environment, you could try to disable features that consume
a fairly amount of resources: disable _source and _all field, bloom codec
filter cache, reduce complex analyzers in the mapping, reduce number of
shards, reduce filter caches ...

Jörg


On Mon, Jun 30, 2014 at 5:04 PM, AlexK <alexandre.kap...@gmail.com> wrote:

> Hi,
>
> I am using ES version 1.1.1 on a *single node* with the below settings:
>  - 2 shards per indices;
>  - currently 395 indices;
>  - currently *428GB*;
>  - *18GB* Heap commited on a 24 GB machine;
>
> I used it only for indexing now, because I noted some memory issues when
> performing search: elasticsearch became unresponsive...
> My requirement curently is to  use ElasticSearch only on a single machine
> configuration.
>
> I already tried to tune the JVM (Xmn to 2gb, noting Full Garbarge
> Collector very often) whithout success.
>
> Does anyone have some advices for me ?
>
> 1. Is the only way is to increase the heap (do you have a ratio RAM / data
> size) ?
> 2. Does adding additional nodes on the same machine will help, why ?
> 3. Final question, I cannot see why in the indexing part so much of the
> RAM is used, if anybody can explain ?
>
> Thanks a lot for your answers.
> Alex.
>
>
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