To clarify, the "documents" I'm referring to as being stored in "the index
I'm percolating against" are my .percolator indexed queries, and there are
no other documents stored in said index.
On Jul 11, 2014 6:21 PM, "Adam Georgiou" <[email protected]> wrote:

> *Going to try and keep this concise.*
>
> *Issue (Potential bug?)*
>
>    - My cluster has been running into memory issues; garbage collection
>    loops, stopping the world, etc.
>    - In a test cluster I ran a few experiments. After a `jmap` i've
>    determined that the
>    `org.elasticsearch.index.percolator.PercolatorQueriesRegistry` is taking up
>    nearly 40% of my heap, even though my percolator queries are a fraction of
>    the size of the *regular *documents I'm storing.
>    - I understand that percolate queries are all always kept in memory
>    
> <http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-percolate.html#_how_it_works_under_the_hood>,
>    and I'm trying to plan accordingly, but to put things in perspective the
>    index I'm percolating on contains *documents that are ~**317M on disk
>    and taking up ~3Gb in memory*. I've determined this ratio through jmap
>    output and by just watching the heap size before and after opening the
>    index with the queries.
>    - My test cluster consists of a single node (v1.0.1) and the index I'm
>    storing percolator queries in has 5 shards and *0 replicas*.
>
> *Question*
>
> A nearly 10-1 ratio of memory usage to disk usage seems wrong to me. Is
> there something specific about the way percolator documents are stored
> under the hood that makes them take up so much memory compared to the way
> their JSON representations are stored on disk?
>
> -Adam
>
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