WARNING: Version 2.4 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.
Custom Analyzer
editCustom Analyzer
editAn analyzer of type custom that allows to combine a Tokenizer with
zero or more Token Filters, and zero or more Char Filters. The
custom analyzer accepts a logical/registered name of the tokenizer to
use, and a list of logical/registered names of token filters.
The name of the custom analyzer must not start with "_".
The following are settings that can be set for a custom analyzer type:
| Setting | Description |
|---|---|
|
The logical / registered name of the tokenizer to use. |
|
An optional list of logical / registered name of token filters. |
|
An optional list of logical / registered name of char filters. |
|
An optional number of positions to increment between each value of a field using this analyzer. Defaults to 100. 100 was chosen because it prevents phrase queries with reasonably large slops (less than 100) from matching terms across field values. |
Here is an example:
index :
analysis :
analyzer :
myAnalyzer2 :
type : custom
tokenizer : myTokenizer1
filter : [myTokenFilter1, myTokenFilter2]
char_filter : [my_html]
position_increment_gap: 256
tokenizer :
myTokenizer1 :
type : standard
max_token_length : 900
filter :
myTokenFilter1 :
type : stop
stopwords : [stop1, stop2, stop3, stop4]
myTokenFilter2 :
type : length
min : 0
max : 2000
char_filter :
my_html :
type : html_strip
escaped_tags : [xxx, yyy]
read_ahead : 1024