>If all of those facet queries are _known_ to be a performance hit,
you might be able to do something custom.That would require
custom code though and I wouldn’t go there unless you can
demonstrate need.
Yeah ... indeed if those facet queries are relatively static (and thus
cacheable ... even if t
I don’t think there’s anything to do what you’re asking OOB.
If all of those facet queries are _known_ to be a performance hit,
you might be able to do something custom.That would require
custom code though and I wouldn’t go there unless you can
demonstrate need.
If you issue a debug=timing you’
Michael, sorry for the confusion; I was positing a *hypothetical*
"exists()" function that doesn't currently exist, that *is* an
aggregate function, and the *does* stop early. I didn't account for
the fact that there's already an "exists()" function *query* that
behaves very differently. So yes, de
@Erick
Sorry! I chose a simple example as I wanted to reduce complexity.
In detail:
* We have distinct contents like tours, offers, events, etc which
themselves may be categorized: A tour may be a hiking tour, a
mountaineering tour, ...
* We have hundreds of customers that want to facet their sear
Separately, and in parallel to Erick's question: indeed I'm not aware
of any way to do this currently, but I *can* imagine cases where this
would be useful. I have a sense this could be cleanly implemented as a
stat facet function
(https://lucene.apache.org/solr/guide/8_6/json-facet-api.html#stat-f
This really sounds like an XY problem. The whole point of facets is
to count the number of documents that have a value in some
number of buckets. So trying to stop your facet query as soon
as it matches a hit for the first time seems like an odd thing to do.
So what’s the “X”? In other words, what
Hi,
I use json facets of type 'query'. As these queries are pretty slow and I'm
only interested in whether there is a match or not, I'd like to restrict
the query execution similar to the standard facetting (like with the
facet.exists parameter). My simplified query looks something like this (in
r
