OpenSearch/docs/reference/ml/anomaly-detection/apis/get-job.asciidoc

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[role="xpack"]
[testenv="platinum"]
[[ml-get-job]]
= Get {anomaly-jobs} API
++++
<titleabbrev>Get jobs</titleabbrev>
++++
Retrieves configuration information for {anomaly-jobs}.
[[ml-get-job-request]]
== {api-request-title}
`GET _ml/anomaly_detectors/<job_id>` +
`GET _ml/anomaly_detectors/<job_id>,<job_id>` +
`GET _ml/anomaly_detectors/` +
`GET _ml/anomaly_detectors/_all`
[[ml-get-job-prereqs]]
== {api-prereq-title}
* If the {es} {security-features} are enabled, you must have `monitor_ml`,
`monitor`, `manage_ml`, or `manage` cluster privileges to use this API. See
<<security-privileges>> and {ml-docs-setup-privileges}.
[[ml-get-job-desc]]
== {api-description-title}
You can get information for multiple {anomaly-jobs} in a single API request by
using a group name, a comma-separated list of jobs, or a wildcard expression.
You can get information for all {anomaly-jobs} by using `_all`, by specifying
`*` as the `<job_id>`, or by omitting the `<job_id>`.
IMPORTANT: This API returns a maximum of 10,000 jobs.
[[ml-get-job-path-parms]]
== {api-path-parms-title}
`<job_id>`::
(Optional, string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection-default]
[[ml-get-job-query-parms]]
== {api-query-parms-title}
`allow_no_match`::
(Optional, Boolean)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=allow-no-jobs]
[[ml-get-job-results]]
== {api-response-body-title}
The API returns an array of {anomaly-job} resources. For the full list of
properties, see <<ml-put-job-request-body,create {anomaly-jobs} API>>.
`create_time`::
(string) The time the job was created. For example, `1491007356077`. This
property is informational; you cannot change its value.
`finished_time`::
(string) If the job closed or failed, this is the time the job finished.
Otherwise, it is `null`. This property is informational; you cannot change its
value.
`job_type`::
(string) Reserved for future use, currently set to `anomaly_detector`.
`job_version`::
(string) The version of {es} that existed on the node when the job was created.
`model_snapshot_id`::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=snapshot-id]
[[ml-get-job-response-codes]]
== {api-response-codes-title}
`404` (Missing resources)::
If `allow_no_match` is `false`, this code indicates that there are no
resources that match the request or only partial matches for the request.
[[ml-get-job-example]]
== {api-examples-title}
[source,console]
--------------------------------------------------
GET _ml/anomaly_detectors/high_sum_total_sales
--------------------------------------------------
// TEST[skip:Kibana sample data]
The API returns the following results:
[source,js]
----
{
"count": 1,
"jobs": [
{
"job_id" : "high_sum_total_sales",
"job_type" : "anomaly_detector",
"job_version" : "7.5.0",
"groups" : [
"kibana_sample_data",
"kibana_sample_ecommerce"
],
"description" : "Find customers spending an unusually high amount in an hour",
"create_time" : 1577221534700,
"analysis_config" : {
"bucket_span" : "1h",
"detectors" : [
{
"detector_description" : "High total sales",
"function" : "high_sum",
"field_name" : "taxful_total_price",
"over_field_name" : "customer_full_name.keyword",
"detector_index" : 0
}
],
"influencers" : [
"customer_full_name.keyword",
"category.keyword"
]
},
"analysis_limits" : {
"model_memory_limit" : "10mb",
"categorization_examples_limit" : 4
},
"data_description" : {
"time_field" : "order_date",
"time_format" : "epoch_ms"
},
"model_plot_config" : {
"enabled" : true
},
"model_snapshot_retention_days" : 10,
"daily_model_snapshot_retention_after_days" : 1,
"custom_settings" : {
"created_by" : "ml-module-sample",
...
},
"model_snapshot_id" : "1575402237",
"results_index_name" : "shared",
"allow_lazy_open" : false
}
]
}
----