check out the videos on this website TROO.TUBE don't be such a
sheep/zombie/loser/NPC. Much love!
https://troo.tube/videos/watch/aaa64864-52ee-4201-922f-41300032f219
On Thu, May 7, 2020 at 8:49 PM Joel Bernstein wrote:
>
> You can be pretty sure that adding static warming queries will improve you
You can be pretty sure that adding static warming queries will improve your
performance following softcommits. But, opening new searchers every 2
seconds may be too fast to allow for warming so you may need to adjust. As
a general rule you cannot open searchers faster than you can warm them.
Joel
Hi joel, No, we have not, we have softCommit requirement of 2 secs.
On Tue, May 5, 2020 at 3:31 PM Joel Bernstein wrote:
> Have you configured static warming queries for the facets? This will warm
> the cache structures for the facet fields. You just want to make sure you
> commits are spaced fa
Have you configured static warming queries for the facets? This will warm
the cache structures for the facet fields. You just want to make sure you
commits are spaced far enough apart that the warming completes before a new
searcher starts warming.
Joel Bernstein
http://joelsolr.blogspot.com/
O
Hi Erick, Thanks for the explanation and advise. With facet queries, does
doc Values help at all ?
1) indexed=true, docValues=true => all facets
2)
- indexed=true , docValues=true => only for subfacets
- inexed=true, docValues=false=> facet query
- docValues=true, indexed=false=> term
DocValues should help when faceting over fields, i.e. facet.field=blah.
I would expect docValues to help with sub facets and, but don’t know
the code well enough to say definitely one way or the other.
The empirical approach would be to set “uninvertible=true” (Solr 7.6) and
turn docValues off. W
Hi Erick, You are correct, we have only about 1.8M documents so far and
turning on the indexing on the facet fields helped improve the timings of
the facet query a lot which has (sub facets and facet queries). So does
docValues help at all for sub facets and facet query, our tests
revealed further
In a word, “yes”. I also suspect your corpus isn’t very big.
I think the key is the facet queries. Now, I’m talking from
theory rather than diving into the code, but querying on
a docValues=true, indexed=false field is really doing a
search. And searching on a field like that is effectively
analog
We have faceting fields that have been defined as indexed=false,
stored=false and docValues=true
However we use a lot of subfacets using json facets and facet ranges
using facet.queries. We see that after every soft-commit our performance
worsens and performs ideal between commits
how is that d
