Jason,

Comment the <filterCache .../> section in the bucket's solrconfig.xml and
restart riak. Now your queries will be fast again :-)


Steve

On 21 April 2015 at 04:24, Zeeshan Lakhani <zlakh...@basho.com> wrote:

> No real workaround other than what you described or looking into
> config/fq-no-cache settings as mentioned in
> http://lucidworks.com/blog/advanced-filter-caching-in-solr/ and playing
> around with those.
>
> Riak is now at 2.1.0. I hope that one of the next few point releases will
> see the fix.
>
>
> Zeeshan Lakhani
> programmer |
> software engineer at @basho |
> org. member/founder of @papers_we_love | paperswelove.org
> twitter => @zeeshanlakhani
>
> On Apr 21, 2015, at 4:11 AM, Jason Campbell <xia...@xiaclo.net> wrote:
>
> Thanks Zeeshan for the info.
>
> Is there a workaround in the mean time, or is the only option to handle
> queries to the individual nodes ourselves?
>
> Is there a planned timeframe for the 2.0.1 release?
>
> Thanks,
> Jason
>
> On 21 Apr 2015, at 16:13, Zeeshan Lakhani <zlakh...@basho.com> wrote:
>
> Hey Jason,
>
> We’re working on performance issues with YZ filter queries, e.g.
> https://github.com/basho/yokozuna/issues/392, and coverage plan
> generation/caching, and our CliServ team has started doing a ton of
> benchmarks as well.
>
> You can bypass YZ, but then you’d have to create a way to generate your
> own coverage plans and other things involving distributed solr that YZ
> gives you. Nonetheless, we’re actively working on improving these issues
> you’ve encountered.
>
> Zeeshan Lakhani
> programmer |
> software engineer at @basho |
> org. member/founder of @papers_we_love | paperswelove.org
> twitter => @zeeshanlakhani
>
> On Apr 21, 2015, at 1:06 AM, Jason Campbell <xia...@xiaclo.net> wrote:
>
> Hello,
>
> I'm currently trying to debug slow YZ queries, and I've narrowed down the
> issue, but not sure how to solve it.
>
> First off, we have about 80 million records in Riak (and YZ), but the
> queries return relatively few (a thousand or so at most).  Our query times
> are anywhere from 800ms to 1.5s.
>
> I have been experimenting with queries directly on the Solr node, and it
> seems to be a problem with YZ and the way it does vnode filters.
>
> Here is the same query, emulating YZ first:
>
> {
> "responseHeader":{
>   "status":0,
>   "QTime":958,
>   "params":{
>     "q":"timestamp:[1429579919010 TO 1429579921010]",
>     "indent":"true",
>     "fq":"_yz_pn:55 OR _yz_pn:40 OR _yz_pn:25 OR _yz_pn:10",
>     "rows":"0",
>     "wt":"json"}},
> "response":{"numFound":80,"start":0,"docs":[]
> }}
>
> And the same query, but including the vnode filter in the main body
> instead of using a filter query:
>
> {
> "responseHeader":{
>   "status":0,
>   "QTime":1,
>   "params":{
>     "q":"timestamp:[1429579919010 TO 1429579921010] AND (_yz_pn:55 OR
> _yz_pn:40 OR _yz_pn:25 OR _yz_pn:10)",
>     "indent":"true",
>     "rows":"0",
>     "wt":"json"}},
> "response":{"numFound":80,"start":0,"docs":[]
> }}
>
> I understand there is a caching benefit to using filter queries, but a
> performance difference of 100x or greater doesn't seem worth it, especially
> with a constant data stream.
>
> Is there a way to make YZ do this, or is the only way to query Solr
> directly, bypassing YZ?  Does anyone have any other suggestions of how to
> make this faster?
>
> The timestamp field is a SolrTrieLongField with default settings if anyone
> is curious.
>
> Thanks,
> Jason
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