OpenSearch/docs/reference/analysis/tokenizers/simplepattern-tokenizer.asciidoc
Christoph Büscher 25aac4f77f
Remove include_type_name in asciidoc where possible (#37568)
The "include_type_name" parameter was temporarily introduced in #37285 to facilitate
moving the default parameter setting to "false" in many places in the documentation
code snippets. Most of the places can simply be reverted without causing errors.
In this change I looked for asciidoc files that contained the
"include_type_name=true" addition when creating new indices but didn't look
likey they made use of the "_doc" type for mappings. This is mostly the case
e.g. in the analysis docs where index creating often only contains settings. I
manually corrected the use of types in some places where the docs still used an
explicit type name and not the dummy "_doc" type.
2019-01-18 09:34:11 +01:00

106 lines
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[[analysis-simplepattern-tokenizer]]
=== Simple Pattern Tokenizer
experimental[This functionality is marked as experimental in Lucene]
The `simple_pattern` tokenizer uses a regular expression to capture matching
text as terms. The set of regular expression features it supports is more
limited than the <<analysis-pattern-tokenizer,`pattern`>> tokenizer, but the
tokenization is generally faster.
This tokenizer does not support splitting the input on a pattern match, unlike
the <<analysis-pattern-tokenizer,`pattern`>> tokenizer. To split on pattern
matches using the same restricted regular expression subset, see the
<<analysis-simplepatternsplit-tokenizer,`simple_pattern_split`>> tokenizer.
This tokenizer uses {lucene-core-javadoc}/org/apache/lucene/util/automaton/RegExp.html[Lucene regular expressions].
For an explanation of the supported features and syntax, see <<regexp-syntax,Regular Expression Syntax>>.
The default pattern is the empty string, which produces no terms. This
tokenizer should always be configured with a non-default pattern.
[float]
=== Configuration
The `simple_pattern` tokenizer accepts the following parameters:
[horizontal]
`pattern`::
{lucene-core-javadoc}/org/apache/lucene/util/automaton/RegExp.html[Lucene regular expression], defaults to the empty string.
[float]
=== Example configuration
This example configures the `simple_pattern` tokenizer to produce terms that are
three-digit numbers
[source,js]
----------------------------
PUT my_index
{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "simple_pattern",
"pattern": "[0123456789]{3}"
}
}
}
}
}
POST my_index/_analyze
{
"analyzer": "my_analyzer",
"text": "fd-786-335-514-x"
}
----------------------------
// CONSOLE
/////////////////////
[source,js]
----------------------------
{
"tokens" : [
{
"token" : "786",
"start_offset" : 3,
"end_offset" : 6,
"type" : "word",
"position" : 0
},
{
"token" : "335",
"start_offset" : 7,
"end_offset" : 10,
"type" : "word",
"position" : 1
},
{
"token" : "514",
"start_offset" : 11,
"end_offset" : 14,
"type" : "word",
"position" : 2
}
]
}
----------------------------
// TESTRESPONSE
/////////////////////
The above example produces these terms:
[source,text]
---------------------------
[ 786, 335, 514 ]
---------------------------