[[java-rest-high-x-pack-ml-get-influencers]]
=== Get Influencers API

The Get Influencers API retrieves one or more influencer results.
It accepts a `GetInfluencersRequest` object and responds
with a `GetInfluencersResponse` object.

[[java-rest-high-x-pack-ml-get-influencers-request]]
==== Get Influencers Request

A `GetInfluencersRequest` object gets created with an existing non-null `jobId`.

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-request]
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<1> Constructing a new request referencing an existing `jobId`

==== Optional Arguments
The following arguments are optional:

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-desc]
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<1> If `true`, the influencers are sorted in descending order. Defaults to `false`.

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-end]
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<1> Influencers with timestamps earlier than this time will be returned.

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-exclude-interim]
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<1> If `true`, interim results will be excluded. Defaults to `false`.

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-influencer-score]
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<1> Influencers with influencer_score greater or equal than this value will be returned.

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-page]
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<1> The page parameters `from` and `size`. `from` specifies the number of influencers to skip.
`size` specifies the maximum number of influencers to get. Defaults to `0` and `100` respectively.

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-sort]
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<1> The field to sort influencers on. Defaults to `influencer_score`.

["source","java",subs="attributes,callouts,macros"]
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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-start]
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<1> Influencers with timestamps on or after this time will be returned.

[[java-rest-high-x-pack-ml-get-influencers-execution]]
==== Execution

The request can be executed through the `MachineLearningClient` contained
in the `RestHighLevelClient` object, accessed via the `machineLearningClient()` method.

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-execute]
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[[java-rest-high-x-pack-ml-get-influencers-execution-async]]
==== Asynchronous Execution

The request can also be executed asynchronously:

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-execute-async]
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<1> The `GetInfluencersRequest` to execute and the `ActionListener` to use when
the execution completes

The asynchronous method does not block and returns immediately. Once it is
completed the `ActionListener` is called back with the `onResponse` method
if the execution is successful or the `onFailure` method if the execution
failed.

A typical listener for `GetInfluencersResponse` looks like:

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-listener]
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<1> `onResponse` is called back when the action is completed successfully
<2> `onFailure` is called back when some unexpected error occurs

[[java-rest-high-x-pack-ml-get-influencers-response]]
==== Get Influencers Response

The returned `GetInfluencersResponse` contains the requested influencers:

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include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-influencers-response]
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<1> The count of influencers that were matched
<2> The influencers retrieved