97 lines
3.6 KiB
Plaintext
97 lines
3.6 KiB
Plaintext
--
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:api: analyze
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:request: AnalyzeRequest
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:response: AnalyzeResponse
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--
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[id="{upid}-{api}"]
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=== Analyze API
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[id="{upid}-{api}-request"]
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==== Analyze Request
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An +{request}+ contains the text to analyze, and one of several options to
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specify how the analysis should be performed.
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The simplest version uses a built-in analyzer:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-builtin-request]
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---------------------------------------------------
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<1> A built-in analyzer
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<2> The text to include. Multiple strings are treated as a multi-valued field
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You can configure a custom analyzer:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-custom-request]
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---------------------------------------------------
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<1> Configuration for a custom tokenfilter
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<2> Configure the tokenizer
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<3> Configure char filters
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<4> Add a built-in tokenfilter
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<5> Add the custom tokenfilter
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You can also build a custom normalizer, by including only charfilters and
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tokenfilters:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-custom-normalizer-request]
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---------------------------------------------------
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You can analyze text using an analyzer defined in an existing index:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-index-request]
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---------------------------------------------------
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<1> The index containing the mappings
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<2> The analyzer defined on this index to use
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Or you can use a normalizer:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-index-normalizer-request]
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---------------------------------------------------
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<1> The index containing the mappings
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<2> The normalizer defined on this index to use
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You can analyze text using the mappings for a particular field in an index:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-field-request]
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---------------------------------------------------
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==== Optional arguments
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The following arguments can also optionally be provided:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-request-explain]
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---------------------------------------------------
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<1> Setting `explain` to true will add further details to the response
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<2> Setting `attributes` allows you to return only token attributes that you are
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interested in
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include::../execution.asciidoc[]
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[id="{upid}-{api}-response"]
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==== Analyze Response
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The returned +{response}+ allows you to retrieve details of the analysis as
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follows:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-response-tokens]
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---------------------------------------------------
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<1> `AnalyzeToken` holds information about the individual tokens produced by analysis
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If `explain` was set to `true`, then information is instead returned from the `detail()`
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method:
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["source","java",subs="attributes,callouts,macros"]
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---------------------------------------------------
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include-tagged::{doc-tests-file}[{api}-response-detail]
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---------------------------------------------------
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<1> `DetailAnalyzeResponse` holds more detailed information about tokens produced by
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the various substeps in the analysis chain. |