OpenSearch/docs
Adrien Grand 5821fa042c Cardinality aggregation.
This aggregation computes unique term counts using the hyperloglog++ algorithm
which uses linear counting to estimate low cardinalities and hyperloglog on
higher cardinalities.

Since this algorithm works on hashes, it is useful for high-cardinality fields
to store the hash of values directly in the index, which is the purpose of
the new `murmur3` field type. This is less necessary on low-cardinality
string fields because the aggregator is smart enough to only compute the hash
once per unique value per segment thanks to ordinals, or on numeric fields
since hashing them is very fast.

Close #5426
2014-03-13 19:19:56 +01:00
..
community [DOCS] Added spring data elasticsearch integration 2014-03-13 08:44:17 +01:00
groovy-api Cleanup comments and class names s/ElasticSearch/Elasticsearch 2014-01-07 11:21:51 +01:00
java-api [DOCS] Java API JSON typo 2014-03-03 18:20:49 -05:00
javascript added doc page for the JavaScipt client, and listed it in the clients list. 2013-12-17 15:26:29 -07:00
perl [DOCS] Updated the Perl docs 2014-03-09 19:45:16 +01:00
python [DOCS] adding a note on python client versioning schema 2014-02-11 03:43:53 +01:00
reference Cardinality aggregation. 2014-03-13 19:19:56 +01:00
river [DOCS] Fixed typo 2013-10-05 17:10:30 +02:00
ruby [DOC] Updated the Ruby gem version for Elasticsearch 0.90.x 2014-02-11 16:12:53 +01:00
README.md [DOCS] various docs fixes 2014-01-23 10:52:13 +01:00

README.md

The Elasticsearch docs are in AsciiDoc format and can be built using the Elasticsearch documentation build process

See: https://github.com/elasticsearch/docs