elasticsearch/docs/java-rest/high-level/indices/analyze.asciidoc

[[java-rest-high-analyze]]
=== Analyze API

[[java-rest-high-analyze-request]]
==== Analyze Request

An `AnalyzeRequest` contains the text to analyze, and one of several options to
specify how the analysis should be performed.

The simplest version uses a built-in analyzer:

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-builtin-request]
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<1> The text to include.  Multiple strings are treated as a multi-valued field
<2> A built-in analyzer

You can configure a custom analyzer:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-custom-request]
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<1> Configure char filters
<2> Configure the tokenizer
<3> Add a built-in tokenfilter
<4> Configuration for a custom tokenfilter
<5> Add the custom tokenfilter

You can also build a custom normalizer, by including only charfilters and
tokenfilters:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-custom-normalizer-request]
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You can analyze text using an analyzer defined in an existing index:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-index-request]
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<1> The index containing the mappings
<2> The analyzer defined on this index to use

Or you can use a normalizer:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-index-normalizer-request]
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<1> The index containing the mappings
<2> The normalizer defined on this index to use

You can analyze text using the mappings for a particular field in an index:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-field-request]
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==== Optional arguments
The following arguments can also optionally be provided:

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-request-explain]
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<1> Setting `explain` to true will add further details to the response
<2> Setting `attributes` allows you to return only token attributes that you are
interested in

[[java-rest-high-analyze-sync]]
==== Synchronous Execution

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-request-sync]
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[[java-rest-high-analyze-async]]
==== Asynchronous Execution

The asynchronous execution of an analyze request requires both the `AnalyzeRequest`
instance and an `ActionListener` instance to be passed to the asyncronous method:

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-request-async]
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The asynchronous method does not block and returns immediately.  Once it is
completed the `ActionListener` is called back using the `onResponse` method if the
execution successfully completed or using the `onFailure` method if it failed.

A typical listener for `AnalyzeResponse` looks like:

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-execute-listener]
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[[java-rest-high-analyze-response]]
==== Analyze Response

The returned `AnalyzeResponse` allows you to retrieve details of the analysis as
follows:
["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-response-tokens]
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<1> `AnalyzeToken` holds information about the individual tokens produced by analysis

If `explain` was set to `true`, then information is instead returned from the `detail()`
method:

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/IndicesClientDocumentationIT.java[analyze-response-detail]
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<1> `DetailAnalyzeResponse` holds more detailed information about tokens produced by
the various substeps in the analysis chain.