[[java-rest-high-x-pack-ml-get-job]]
=== Get Job API

The Get Job API provides the ability to get {ml} jobs in the cluster.
It accepts a `GetJobRequest` object and responds
with a `GetJobResponse` object.

[[java-rest-high-x-pack-ml-get-job-request]]
==== Get Job Request

A `GetJobRequest` object gets can have any number of `jobId` or `groupName`
entries. However, they all must be non-null. An empty list is the same as
requesting for all jobs.

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-request]
--------------------------------------------------
<1> Constructing a new request referencing existing `jobIds`, can contain wildcards
<2> Whether to ignore if a wildcard expression matches no jobs.
 (This includes `_all` string or when no jobs have been specified)

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

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

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-execute]
--------------------------------------------------
<1> `getCount()` from the `GetJobResponse` indicates the number of jobs found
<2> `getJobs()` is the collection of {ml} `Job` objects found

[[java-rest-high-x-pack-ml-get-job-execution-async]]
==== Asynchronous Execution

The request can also be executed asynchronously:

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-execute-async]
--------------------------------------------------
<1> The `GetJobRequest` to execute and the `ActionListener` to use when
the execution completes

The method does not block and returns immediately. The passed `ActionListener` is used
to notify the caller of completion. A typical `ActionListener` for `GetJobResponse` may
look like

["source","java",subs="attributes,callouts,macros"]
--------------------------------------------------
include-tagged::{doc-tests}/MlClientDocumentationIT.java[x-pack-ml-get-job-listener]
--------------------------------------------------
<1> `onResponse` is called back when the action is completed successfully
<2> `onFailure` is called back when some unexpected error occurs