Having a single large index is probably the best option, and will scale
better when growing your base of users.

I would recommend to watch the following video:
http://www.elasticsearch.org/videos/big-data-search-and-analytics/. The
part you are interested in starts at 13:20.


On Tue, Jul 15, 2014 at 3:26 PM, Mike Topper <[email protected]> wrote:

> Hello,
>
> I'm new elasticsearch, so this might be a stupid question but i'd love
> some input before I get started creating my elasticsearch cluster.
>
> Basically I will be indexing documents with a few fields (documents are
> pretty small in size).  there are ~90million documents total.
>
> On the search side of things, each search will be limited by the small
> subset of documents that the user doing the search owns.
>
> my initial thought was to just have one large index for all documents and
> have a multi-value field that held the user ids of each user that owned
> that document.  then when searching across the index i would do a filter
> query to limit by that user id.  My only concern here is that this might be
> slow query times because you are always having to filter down by user id
> from a large data set to a very small subset (on average a user probably
> owns less than 1k documents).
>
> The other option I had is that i could create an index for each user and
> just index their documents into their index, but this would duplicate a
> massive amount of data and just seems hacky.
>
> Any suggestions?
>
> Thanks,
> Mike
>
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-- 
Adrien Grand

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