It's currently blocked until we can figure out a way to prevent a bad query
from triggering an OOM error.  The goal (as far as I've been told) is to
get this in, but no ETA.   I need to update the PR to the latest master as
there have been significant changes as well.

Thanks,
Matt Weber
On Jul 25, 2014 8:52 PM, "Don Clore" <cloredo...@gmail.com> wrote:

> Does anyone know the status of that pull request?   Is it likely to be
> approved?
>
> thanks,
> Don
>
> On Saturday, July 19, 2014 12:14:01 AM UTC-7, Jörg Prante wrote:
>>
>> Yes, I think this is somehow related to Matt's Join Filter
>>
>> https://github.com/elasticsearch/elasticsearch/pull/3278
>>
>> Jörg
>>
>>
>> On Sat, Jul 19, 2014 at 4:24 AM, Don Clore <clore...@gmail.com> wrote:
>>
>>> I am pretty sure this is not supported, but it'd be great to explicit
>>> confirmation/denial.
>>>
>>> So....document types A and B, where there's an N:M relationship between
>>> A and B, and document type B has a list of the document A instances that
>>> relate to it.
>>>
>>> More concretely  A == a sports Player data type, and B is a set of new
>>> stories.   The Story type has a list of the ids of Players that the story
>>> is about/related to.
>>>
>>> So....I know the terms lookup filter allows one to use a single document
>>> as the source of the terms for the lookup.   What we'd like to be able to
>>> do is expose a faceted/aggregations-based UI to the user that allows her to
>>> perform a variety of filtering operations on Players over a fairly
>>> extensive set of criteria, and then have the resulting set of Player
>>> document ids serve as the lookup into the Story stories, i.e., get all the
>>> stories that relate to the Player result set.
>>>
>>> Obviously, we'd ideally like to do this in a single query, or failing
>>> that, have some reasonably efficient way to issue the two query/filters
>>> (passing a large result set of ids over the wire seems like a bad idea; I'm
>>> new to ES, but...this kind of thing was never great with Solr).
>>>
>>> One idea I had (perhaps half-baked) was to create a PlayerResultSet
>>> type, with an id deterministically fashioned from the query/filter
>>> predicates such that the same user filtering action would result in the
>>> same PlayerResultSet id each time; we'd issue a terms lookup filter request
>>> using the PlayerResultSet id, if it fails because the PlayerResultSet
>>> document doesn't exist, then we'd have to issue the filter for the Players,
>>> construct a PlayerResultSet doc and index it, and query for the Stories
>>> that have those Player Ids; not sure if it would be worse to issue all the
>>> ids in a query, or index the PlayerResultSet doc with Refresh==true (or
>>> issue the query and queue up the PlayerResultSet doc for later indexing, or
>>> whatever).
>>>
>>> The Player data should be fairly static; we could delete the documents
>>> and recreate them each time we refresh Player data.
>>>
>>> Ok, that sounds pretty awful, I'm hoping someone has a less
>>> Rube-Goldberg approach; obviously, I'm sort of building in my filter query
>>> caching mechanism, hopefully something like this can be more easily
>>> achieved with the built-in filter caching.
>>>
>>> thanks for any insights,
>>> Don
>>>
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