Hi Emir,
could this be done with Pivot faceting?
The idea is to use facet.pivot=price_USER_ID,price. Then I should get all
values + number of matching documents for price_USER_ID (sub-faceted by
price, which I can just ignore). Additionally, there should be one facet
value for price_USER_ID for a
Hi Georg,
I cannot think of similar trick that would enable you to facet on all
values (other than applying this trick to buckets of size 1) but would
warn you about faceting of high cardinality fields such as price. Not
sure if you have some specific case, but calculating facet for such
field
Hi Emir,
that sounds like a great idea and filtering should be just fine!
In our case we need the individual price values (not the buckets), just
like facet.field=price but with respect to the user prices. Is this
possible as well?
About the performance: Are there any specific bottlenecks you wo
Hi Georg,
One solution that could work on existing schema is to use query faceting
and queries like (for USER_ID = 1, bucker 100 to 200):
price_1:[100 TO 200] OR (-price_1:[* TO *] AND price:[100 TO 200])
Same query is used for filtering. What you should test is if
performances are acceptable
Hi list,
we use Solr to search ecommerce products.
Items have a default price which can be overwritten per user. So when
searching we have to return the user price if it is set, otherwise the
default price. Same goes for building facets and when filtering by price.
What's the best way to achieve
