All methods and paths for this operation:
Get configuration and usage information about datafeeds.
This API returns a maximum of 10,000 datafeeds.
If the Elasticsearch security features are enabled, you must have monitor_ml, monitor, manage_ml, or manage
cluster privileges to use this API.
IMPORTANT: CAT APIs are only intended for human consumption using the Kibana console or command line. They are not intended for use by applications. For application consumption, use the get datafeed statistics API.
monitor_mlSpecifies what to do when the request:
_all string or no identifiers and there are no matches.If true, the API returns an empty datafeeds array when there are no matches and the subset of results when
there are partial matches. If false, the API returns a 404 status code when there are no matches or only
partial matches.
Comma-separated list of column names to display.
Supported values include:
ae (or assignment_explanation): For started datafeeds only, contains messages relating to the selection of
a node.bc (or buckets.count, bucketsCount): The number of buckets processed.id: A numerical character string that uniquely identifies the datafeed.na (or node.address, nodeAddress): For started datafeeds only, the network address of the node where the
datafeed is started.ne (or node.ephemeral_id, nodeEphemeralId): For started datafeeds only, the ephemeral ID of the node where the
datafeed is started.ni (or node.id, nodeId): For started datafeeds only, the unique identifier of the node where the
datafeed is started.nn (or node.name, nodeName): For started datafeeds only, the name of the node where the datafeed is
started.sba (or search.bucket_avg, searchBucketAvg): The average search time per bucket, in milliseconds.sc (or search.count, searchCount): The number of searches run by the datafeed.seah (or search.exp_avg_hour, searchExpAvgHour): The exponential average search time per hour, in milliseconds.st (or search.time, searchTime): The total time the datafeed spent searching, in milliseconds.s (or state): The status of the datafeed: starting, started, stopping, or stopped.
If starting, the datafeed has been requested to start but has not yet
started. If started, the datafeed is actively receiving data. If
stopping, the datafeed has been requested to stop gracefully and is
completing its final action. If stopped, the datafeed is stopped and will
not receive data until it is re-started.Comma-separated list of column names or column aliases used to sort the response.
Supported values include:
ae (or assignment_explanation): For started datafeeds only, contains messages relating to the selection of
a node.bc (or buckets.count, bucketsCount): The number of buckets processed.id: A numerical character string that uniquely identifies the datafeed.na (or node.address, nodeAddress): For started datafeeds only, the network address of the node where the
datafeed is started.ne (or node.ephemeral_id, nodeEphemeralId): For started datafeeds only, the ephemeral ID of the node where the
datafeed is started.ni (or node.id, nodeId): For started datafeeds only, the unique identifier of the node where the
datafeed is started.nn (or node.name, nodeName): For started datafeeds only, the name of the node where the datafeed is
started.sba (or search.bucket_avg, searchBucketAvg): The average search time per bucket, in milliseconds.sc (or search.count, searchCount): The number of searches run by the datafeed.seah (or search.exp_avg_hour, searchExpAvgHour): The exponential average search time per hour, in milliseconds.st (or search.time, searchTime): The total time the datafeed spent searching, in milliseconds.s (or state): The status of the datafeed: starting, started, stopping, or stopped.
If starting, the datafeed has been requested to start but has not yet
started. If started, the datafeed is actively receiving data. If
stopping, the datafeed has been requested to stop gracefully and is
completing its final action. If stopped, the datafeed is stopped and will
not receive data until it is re-started.GET _cat/ml/datafeeds?v=true&format=json
resp = client.cat.ml_datafeeds(
v=True,
format="json",
)
const response = await client.cat.mlDatafeeds({
v: "true",
format: "json",
});
response = client.cat.ml_datafeeds(
v: "true",
format: "json"
)
$resp = $client->cat()->mlDatafeeds([
"v" => "true",
"format" => "json",
]);
curl -X GET -H "Authorization: ApiKey $ELASTIC_API_KEY" "$ELASTICSEARCH_URL/_cat/ml/datafeeds?v=true&format=json"
client.cat().mlDatafeeds();
[
{
"id": "datafeed-high_sum_total_sales",
"state": "stopped",
"buckets.count": "743",
"search.count": "7"
},
{
"id": "datafeed-low_request_rate",
"state": "stopped",
"buckets.count": "1457",
"search.count": "3"
},
{
"id": "datafeed-response_code_rates",
"state": "stopped",
"buckets.count": "1460",
"search.count": "18"
},
{
"id": "datafeed-url_scanning",
"state": "stopped",
"buckets.count": "1460",
"search.count": "18"
}
]