Thanks Toke and Joel.
On Wed, 14 Nov 2018 at 19:47, Joel Bernstein wrote:
> The JSON facet API uses the t-digest approach to estimate the percentiles.
>
> You can also use Solr Math Expressions to take a random sample from a field
> and estimate the median from the sample. Here is the Streaming
The JSON facet API uses the t-digest approach to estimate the percentiles.
You can also use Solr Math Expressions to take a random sample from a field
and estimate the median from the sample. Here is the Streaming Expression:
let(a=random(collection1, q="*:*", fl="filesize_d", rows="25000"),
On Wed, 2018-11-14 at 17:53 +0530, Anil wrote:
> I don;t see median aggregation in JSON facet api documentation.
It's the 50 percentile:
https://lucene.apache.org/solr/guide/7_5/json-facet-api.html#metrics-example
- Toke Eskildsen, Royal Danish Library
HI,
Good Morning.
I don;t see median aggregation in JSON facet api documentation. Could you
please point me to the documentation to create custom json facet apis ?
Thanks.
Regards,
Anil
Hi,
I don't seem to find a 'contains' (with or without ignorecase) in the
available descriptions of the JSON facet API. Is that because there is
none? Or is it just not adequately described. For example in the
official ref guide for 6.6 or 7.0 there is no mention of this feature.
Is it produc
Hi,
We were earlier using solr 4.0 and now moved to solr 5.2:
I am debugging queries and seeing that most of the time in queries are
taken by solr facet queries.
I have read about solr json facet api in solr 5 on wards, can anyone help
me out to understand the difference between these both
