Hi Lucene devs,
I work on product search at Amazon, where we use Lucene faceting
to compute aggregations. There's a few functionalities I'm missing with
faceting. For example, faceting will always aggregate all the way up to the
dimension and it can't compute multiple aggregations in one pass of the
match-set.
Lucene-based search engines (like Elastic or OpenSearch) have feature-rich
aggregation engines which allow different collection modes and give the user
more control over the granularity of the scopes for which aggregations are
computed.
Are there historical reasons not to have this type of aggregation engine
directly in Lucene? If it seems like a worthwhile idea to pursue, I've
experimented a bit with how we could fulfill these needs in Lucene and I can
open an issue/PR.
Thanks,
Shradha
I work on product search at Amazon, where we use Lucene faceting
to compute aggregations. There's a few functionalities I'm missing with
faceting. For example, faceting will always aggregate all the way up to the
dimension and it can't compute multiple aggregations in one pass of the
match-set.
Lucene-based search engines (like Elastic or OpenSearch) have feature-rich
aggregation engines which allow different collection modes and give the user
more control over the granularity of the scopes for which aggregations are
computed.
Are there historical reasons not to have this type of aggregation engine
directly in Lucene? If it seems like a worthwhile idea to pursue, I've
experimented a bit with how we could fulfill these needs in Lucene and I can
open an issue/PR.
Thanks,
Shradha