Is this consistent with other people's experience? Would some charts --
heap usage, disk usage, etc. -- make this more approachable
On Jul 11, 2014 6:36 PM, "Adam Georgiou" <[email protected]> wrote:

> 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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