Analyze APIedit
Performs analysis on a text string and returns the resulting tokens.
GET /_analyze
{
"analyzer" : "standard",
"text" : "Quick Brown Foxes!"
}
Path parametersedit
-
<index> -
(Optional, string) Index used to derive the analyzer.
If specified, the
analyzeror<field>parameter overrides this value.If no analyzer or field are specified, the analyze API uses the default analyzer for the index.
If no index is specified or the index does not have a default analyzer, the analyze API uses the standard analyzer.
Query parametersedit
-
analyzer -
(Optional, string) The name of the analyzer that should be applied to the provided
text. This could be a built-in analyzer, or an analyzer that’s been configured in the index.If this parameter is not specified, the analyze API uses the analyzer defined in the field’s mapping.
If no field is specified, the analyze API uses the default analyzer for the index.
If no index is specified, or the index does not have a default analyzer, the analyze API uses the standard analyzer.
-
attributes -
(Optional, array of strings)
Array of token attributes used to filter the output of the
explainparameter. -
char_filter - (Optional, array of strings) Array of character filters used to preprocess characters before the tokenizer. See Character filters reference for a list of character filters.
-
explain -
(Optional, boolean)
If
true, the response includes token attributes and additional details. Defaults tofalse. [experimental] The format of the additional detail information is labelled as experimental in Lucene and it may change in the future. -
field -
(Optional, string) Field used to derive the analyzer. To use this parameter, you must specify an index.
If specified, the
analyzerparameter overrides this value.If no field is specified, the analyze API uses the default analyzer for the index.
If no index is specified or the index does not have a default analyzer, the analyze API uses the standard analyzer.
-
filter - (Optional, Array of strings) Array of token filters used to apply after the tokenizer. See Token filter reference for a list of token filters.
-
normalizer - (Optional, string) Normalizer to use to convert text into a single token. See Normalizers for a list of normalizers.
-
text - (Required, string or array of strings) Text to analyze. If an array of strings is provided, it is analyzed as a multi-value field.
-
tokenizer - (Optional, string) Tokenizer to use to convert text into tokens. See Tokenizer reference for a list of tokenizers.
Examplesedit
No index specifiededit
You can apply any of the built-in analyzers to the text string without specifying an index.
GET /_analyze
{
"analyzer" : "standard",
"text" : "this is a test"
}
Array of text stringsedit
If the text parameter is provided as array of strings, it is analyzed as a multi-value field.
GET /_analyze
{
"analyzer" : "standard",
"text" : ["this is a test", "the second text"]
}
Custom analyzeredit
You can use the analyze API to test a custom transient analyzer built from
tokenizers, token filters, and char filters. Token filters use the filter
parameter:
GET /_analyze
{
"tokenizer" : "keyword",
"filter" : ["lowercase"],
"text" : "this is a test"
}
GET /_analyze
{
"tokenizer" : "keyword",
"filter" : ["lowercase"],
"char_filter" : ["html_strip"],
"text" : "this is a <b>test</b>"
}
Custom tokenizers, token filters, and character filters can be specified in the request body as follows:
GET /_analyze
{
"tokenizer" : "whitespace",
"filter" : ["lowercase", {"type": "stop", "stopwords": ["a", "is", "this"]}],
"text" : "this is a test"
}
Specific indexedit
You can also run the analyze API against a specific index:
GET /analyze_sample/_analyze
{
"text" : "this is a test"
}
The above will run an analysis on the "this is a test" text, using the
default index analyzer associated with the analyze_sample index. An analyzer
can also be provided to use a different analyzer:
GET /analyze_sample/_analyze
{
"analyzer" : "whitespace",
"text" : "this is a test"
}
Derive analyzer from a field mappingedit
The analyzer can be derived based on a field mapping, for example:
GET /analyze_sample/_analyze
{
"field" : "obj1.field1",
"text" : "this is a test"
}
Will cause the analysis to happen based on the analyzer configured in the
mapping for obj1.field1 (and if not, the default index analyzer).
Normalizeredit
A normalizer can be provided for keyword field with normalizer associated with the analyze_sample index.
GET /analyze_sample/_analyze
{
"normalizer" : "my_normalizer",
"text" : "BaR"
}
Or by building a custom transient normalizer out of token filters and char filters.
GET /_analyze
{
"filter" : ["lowercase"],
"text" : "BaR"
}
Explain analyzeedit
If you want to get more advanced details, set explain to true (defaults to false). It will output all token attributes for each token.
You can filter token attributes you want to output by setting attributes option.
The format of the additional detail information is labelled as experimental in Lucene and it may change in the future.
GET /_analyze
{
"tokenizer" : "standard",
"filter" : ["snowball"],
"text" : "detailed output",
"explain" : true,
"attributes" : ["keyword"]
}
The request returns the following result:
{
"detail" : {
"custom_analyzer" : true,
"charfilters" : [ ],
"tokenizer" : {
"name" : "standard",
"tokens" : [ {
"token" : "detailed",
"start_offset" : 0,
"end_offset" : 8,
"type" : "<ALPHANUM>",
"position" : 0
}, {
"token" : "output",
"start_offset" : 9,
"end_offset" : 15,
"type" : "<ALPHANUM>",
"position" : 1
} ]
},
"tokenfilters" : [ {
"name" : "snowball",
"tokens" : [ {
"token" : "detail",
"start_offset" : 0,
"end_offset" : 8,
"type" : "<ALPHANUM>",
"position" : 0,
"keyword" : false
}, {
"token" : "output",
"start_offset" : 9,
"end_offset" : 15,
"type" : "<ALPHANUM>",
"position" : 1,
"keyword" : false
} ]
} ]
}
}
Setting a token limitedit
Generating excessive amount of tokens may cause a node to run out of memory. The following setting allows to limit the number of tokens that can be produced:
-
index.analyze.max_token_count -
The maximum number of tokens that can be produced using
_analyzeAPI. The default value is10000. If more than this limit of tokens gets generated, an error will be thrown. The_analyzeendpoint without a specified index will always use10000value as a limit. This setting allows you to control the limit for a specific index:
PUT /analyze_sample
{
"settings" : {
"index.analyze.max_token_count" : 20000
}
}
GET /analyze_sample/_analyze
{
"text" : "this is a test"
}