Stop datafeeds API
editStop datafeeds API
editStops one or more datafeeds.
Request
editPOST _ml/datafeeds/<feed_id>/_stop
POST _ml/datafeeds/<feed_id>,<feed_id>/_stop
POST _ml/datafeeds/_all/_stop
Prerequisites
editRequires the manage_ml cluster privilege. This privilege is included in the
machine_learning_admin built-in role.
Description
editA datafeed that is stopped ceases to retrieve data from Elasticsearch. A datafeed can be started and stopped multiple times throughout its lifecycle.
Path parameters
edit-
<feed_id> -
(Required, string)
Identifier for the datafeed. You can stop multiple datafeeds in a single API
request by using a comma-separated list of datafeeds or a wildcard expression.
You can close all datafeeds by using
_allor by specifying*as the identifier.
Query parameters
edit-
allow_no_match -
(Optional, Boolean) Specifies what to do when the request:
- Contains wildcard expressions and there are no datafeeds that match.
-
Contains the
_allstring or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
The default value is
true, which returns an emptydatafeedsarray when there are no matches and the subset of results when there are partial matches. If this parameter isfalse, the request returns a404status code when there are no matches or only partial matches. -
force - (Optional, Boolean) If true, the datafeed is stopped forcefully.
-
timeout - (Optional, time) Specifies the amount of time to wait until a datafeed stops. The default value is 20 seconds.
Request body
editYou can also specify the query parameters (such as allow_no_match and
force) in the request body.
Response codes
edit-
404(Missing resources) -
If
allow_no_matchisfalse, this code indicates that there are no resources that match the request or only partial matches for the request.
Examples
editresp = client.ml.stop_datafeed(
datafeed_id="datafeed-low_request_rate",
timeout="30s",
)
print(resp)
response = client.ml.stop_datafeed(
datafeed_id: 'datafeed-low_request_rate',
body: {
timeout: '30s'
}
)
puts response
const response = await client.ml.stopDatafeed({
datafeed_id: "datafeed-low_request_rate",
timeout: "30s",
});
console.log(response);
POST _ml/datafeeds/datafeed-low_request_rate/_stop
{
"timeout": "30s"
}
When the datafeed stops, you receive the following results:
{
"stopped": true
}