GC failing to reduce heap memory usage

Hello,

You can also try tweaking the amount of memory you allow Elasticsearch to
use for caches. For field caches you can have something like:
index.fielddata.cache: node
indices.fielddata.cache.size: 10%

And for filter caches:
indices.cache.filter.size: 10%

As far as I know, the field cache settings require 0.90 and implies that
you remove "index.cache.field.type: soft".

Best regards,
Radu

On Wed, Apr 17, 2013 at 9:49 PM, Jörg Prante joergprante@gmail.com wrote:

You have control about filters being cached. ES helps you with reasonable
default settings which can be modified. From the guide at
Elasticsearch Platform — Find real-time answers at scale | Elastichttp://www.elasticsearch.org/guide/reference/query-dsl/

"Some filters already produce a result that is easily cacheable, and the
difference between caching and not caching them is the act of placing the
result in the cache or not. These filters, which include the term, terms,
prefix, and range filters, are by default cached...

"Other filters, usually already working with the field data loaded into
memory, are not cached by default..."

Queries can be executed without cache. Obviously, if you don't specifiy
filters in your query, but instead specify them as query, there is no
filter caching.

Jörg

Am 17.04.13 12:21, schrieb Abhijeet Rastogi:

Yeah, that seems fair. What I actually wanted to know was, is it must for

filter/field cache to be present before processing the query?

I mean, can a query be executed in ES without field/filter cache being
present?

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