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

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[role="xpack"]
[testenv="platinum"]
[[ml-get-datafeed-stats]]
= Get {dfeed} statistics API
[subs="attributes"]
++++
<titleabbrev>Get {dfeed} statistics</titleabbrev>
++++
Retrieves usage information for {dfeeds}.
[[ml-get-datafeed-stats-request]]
== {api-request-title}
`GET _ml/datafeeds/<feed_id>/_stats` +
`GET _ml/datafeeds/<feed_id>,<feed_id>/_stats` +
`GET _ml/datafeeds/_stats` +
`GET _ml/datafeeds/_all/_stats`
[[ml-get-datafeed-stats-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-datafeed-stats-desc]]
== {api-description-title}
You can get statistics for multiple {dfeeds} in a single API request by using a
comma-separated list of {dfeeds} or a wildcard expression. You can get
statistics for all {dfeeds} by using `_all`, by specifying `*` as the
`<feed_id>`, or by omitting the `<feed_id>`.
If the {dfeed} is stopped, the only information you receive is the
`datafeed_id` and the `state`.
IMPORTANT: This API returns a maximum of 10,000 {dfeeds}.
[[ml-get-datafeed-stats-path-parms]]
== {api-path-parms-title}
`<feed_id>`::
(Optional, string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=datafeed-id-wildcard]
+
--
If you do not specify one of these options, the API returns information about
all {dfeeds}.
--
[[ml-get-datafeed-stats-query-parms]]
== {api-query-parms-title}
`allow_no_match`::
(Optional, boolean)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=allow-no-datafeeds]
[role="child_attributes"]
[[ml-get-datafeed-stats-results]]
== {api-response-body-title}
The API returns an array of {dfeed} count objects. All of these properties are
informational; you cannot update their values.
`assignment_explanation`::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=assignment-explanation-datafeeds]
`datafeed_id`::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=datafeed-id]
`node`::
(object)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-datafeeds]
+
--
[%collapsible%open]
====
`attributes`:::
(object)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-attributes]
`ephemeral_id`:::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-ephemeral-id]
`id`:::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-id]
`name`:::
(string)
The node name. For example, `0-o0tOo`.
`transport_address`:::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=node-transport-address]
====
--
`state`::
(string)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=state-datafeed]
`timing_stats`::
(object) An object that provides statistical information about timing aspect of
this {dfeed}.
+
--
[%collapsible%open]
====
`average_search_time_per_bucket_ms`:::
(double)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-bucket-avg]
`bucket_count`:::
(long)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=bucket-count]
`exponential_average_search_time_per_hour_ms`:::
(double)
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-exp-avg-hour]
`job_id`:::
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-anomaly-detection]
`search_count`:::
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-count]
`total_search_time_ms`:::
include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=search-time]
====
--
[[ml-get-datafeed-stats-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-datafeed-stats-example]]
== {api-examples-title}
[source,console]
--------------------------------------------------
GET _ml/datafeeds/datafeed-high_sum_total_sales/_stats
--------------------------------------------------
// TEST[skip:Kibana sample data started datafeed]
The API returns the following results:
[source,console-result]
----
{
"count": 1,
"datafeeds": [
{
"datafeed_id": "datafeed-high_sum_total_sales",
"state": "started",
"node": {
"id": "2spCyo1pRi2Ajo-j-_dnPX",
"name": "node-0",
"ephemeral_id": "hoXMLZB0RWKfR9UPPUCxXX",
"transport_address": "127.0.0.1:9300",
"attributes": {
"ml.machine_memory": "17179869184",
"ml.max_open_jobs": "20"
}
},
"assignment_explanation": "",
"timing_stats": {
"job_id" : "high_sum_total_sales",
"search_count" : 27,
"bucket_count" : 619,
"total_search_time_ms" : 296.0,
"average_search_time_per_bucket_ms" : 0.4781906300484653,
"exponential_average_search_time_per_hour_ms" : 33.28246548059884
}
}
]
}
----
// TESTRESPONSE[s/"2spCyo1pRi2Ajo-j-_dnPX"/$body.$_path/]
// TESTRESPONSE[s/"node-0"/$body.$_path/]
// TESTRESPONSE[s/"hoXMLZB0RWKfR9UPPUCxXX"/$body.$_path/]
// TESTRESPONSE[s/"127.0.0.1:9300"/$body.$_path/]
// TESTRESPONSE[s/"17179869184"/$body.datafeeds.0.node.attributes.ml\\.machine_memory/]