OpenSearch

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History

markharwood 767bef0596 Significant_terms aggregation identifies terms that are significant rather than merely popular in a set.

Significance is related to the changes in document frequency observed between everyday use in the corpus and
frequency observed in the result set. The asciidocs include extensive details on the applications of this feature.

Closes #5146

2014-03-14 10:34:24 +00:00

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

Significant_terms aggregation identifies terms that are significant rather than merely popular in a set.

2014-03-14 10:34:24 +00:00

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