solr-user@lucene.apache.org
Subject: Re: Simulating group.facet for JSON facets, high mem usage w/ sorting
on aggregation...
FYI, I just opened
https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fissues.apache.org%2Fjira%2Fbrowse%2FSOLR-10122&data=01%7C01%7Cmichael.brya
FYI, I just opened https://issues.apache.org/jira/browse/SOLR-10122 for this
-Yonik
On Fri, Feb 10, 2017 at 4:32 PM, Yonik Seeley wrote:
> On Thu, Feb 9, 2017 at 6:58 AM, Bryant, Michael
> wrote:
>> Hi all,
>>
>> I'm converting my legacy facets to JSON facets and am seeing much better
>> perfor
On Thu, Feb 9, 2017 at 6:58 AM, Bryant, Michael
wrote:
> Hi all,
>
> I'm converting my legacy facets to JSON facets and am seeing much better
> performance, especially with high cardinality facet fields. However, the one
> issue I can't seem to resolve is excessive memory usage (and OOM errors)
Darn, spoke too soon. Field collapsing throws off my facet counts where facet
fields differ within groups.
Back to the drawing board. FWIW, I tried hyperloglog for JSON facet aggregate
counts and it has the same issue as unique() when used as the facet sort
parameter - while reasonably fast it
Hi Tom,
Well the collapsing query parser is… a much better solution to my problems!
Thanks for cluing me in to this, I love it when you can delete a load of hacks
for something both simpler and faster.
Best,
~Mike
--
Mike Bryant
Research Associate
Department of Digital Humanities
King’s
Hi Mike
Looks like you are trying to get a list of the distinct item ids in a
result set, ordered by the most frequent item ids?
Can you use collapsing qparser for this instead? Should be much quicker.
https://cwiki.apache.org/confluence/display/solr/Collapse+and+Expand+Results
Every document w
Hi all,
I'm converting my legacy facets to JSON facets and am seeing much better
performance, especially with high cardinality facet fields. However, the one
issue I can't seem to resolve is excessive memory usage (and OOM errors) when
trying to simulate the effect of "group.facet" to sort face
