WARNING: Version 2.0 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
The index analysis module acts as a configurable registry of Analyzers
that can be used in order to both break indexed (analyzed) fields when a
document is indexed and process query strings. It maps to the Lucene
Analyzers are composed of a single Tokenizer
and zero or more TokenFilters. The tokenizer may
be preceded by one or more CharFilters. The
analysis module allows one to register
Analyzers under logical names that can then be referenced either in
mapping definitions or in certain APIs. The Analysis module
automatically registers (if not explicitly defined) built in
analyzers, token filters, and tokenizers.
Here is a sample configuration:
index : analysis : analyzer : standard : type : standard stopwords : [stop1, stop2] myAnalyzer1 : type : standard stopwords : [stop1, stop2, stop3] max_token_length : 500 # configure a custom analyzer which is # exactly like the default standard analyzer myAnalyzer2 : tokenizer : standard filter : [standard, lowercase, stop] tokenizer : myTokenizer1 : type : standard max_token_length : 900 myTokenizer2 : type : keyword buffer_size : 512 filter : myTokenFilter1 : type : stop stopwords : [stop1, stop2, stop3, stop4] myTokenFilter2 : type : length min : 0 max : 2000
All analyzers, tokenizers, and token filters can be configured with a
version parameter to control which Lucene version behavior they should
use. Possible values are:
4.3 (the highest
version number is the default option).
Intro to Kibana
ELK for Logs & Metrics