Try the filter approach first and only if performance isn't good enough,
look into other approaches.  Lucene is quite fast at intersecting filters
with large postings lists these days...

Separate index per user is not only wasteful, because of the duplicated
content, but will consume substantially more RAM/disk/file descriptors just
because of the overhead required for an index.

Mike McCandless

http://blog.mikemccandless.com


On Tue, Jul 15, 2014 at 9:26 AM, Mike Topper <top...@gmail.com> 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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