//lcawley Verified example output 2017-04 [[ml-update-datafeed]] ==== Update Data Feeds The update data feed API enables you to update certain properties of a data feed. ===== Request `POST _xpack/ml/datafeeds//_update` //===== Description ===== Path Parameters `feed_id` (required):: (string) Identifier for the data feed ===== Request Body The following properties can be updated after the data feed is created: `aggregations`:: (object) If set, the data feed performs aggregation searches. For more information, see <>. `chunking_config`:: (object) The chunking configuration, which specifies how data searches are chunked. See <>. `frequency`:: (time units) The interval at which scheduled queries are made while the data feed runs in real time. The default value is either the bucket span for short bucket spans, or, for longer bucket spans, a sensible fraction of the bucket span. For example: "150s". `indexes` (required):: (array) An array of index names. For example: ["it_ops_metrics"]. `job_id`:: (string) A numerical character string that uniquely identifies the job. `query`:: (object) The Elasticsearch query domain-specific language (DSL). This value corresponds to the query object in an Elasticsearch search POST body. All the options that are supported by Elasticsearch can be used, as this object is passed verbatim to Elasticsearch. By default, this property has the following value: `{"match_all": {"boost": 1}}`. If this property is not specified, the default value is `“match_all”: {}`. `query_delay`:: (time units) The number of seconds behind real-time that data is queried. For example, if data from 10:04 a.m. might not be searchable in Elasticsearch until 10:06 a.m., set this property to 120 seconds. The default value is 60 seconds. For example: "60s". `scroll_size`:: (unsigned integer) The `size` parameter that is used in Elasticsearch searches. The default value is `1000`. `types` (required):: (array) A list of types to search for within the specified indices. For example: ["network","sql","kpi"]. For more information about these properties, see <>. ===== Authorization You must have `manage_ml`, or `manage` cluster privileges to use this API. For more information, see <>. ===== Examples The following example updates the `it-ops-kpi` job: [source,js] -------------------------------------------------- POST _xpack/ml/datafeeds/datafeed-it-ops-kpi/_update { "query_delay": "60s", "frequency": "150s", "aggregations": { "buckets": { "date_histogram": { "field": "@timestamp", "interval": 30000, "offset": 0, "order": { "_key": "asc" }, "keyed": false, "min_doc_count": 0 }, "aggregations": { "events_per_min": { "sum": { "field": "events_per_min" } }, "@timestamp": { "max": { "field": "@timestamp" } } } } }, "scroll_size": 1000, "chunking_config": { "mode": "manual", "time_span": "30000000ms" } } -------------------------------------------------- // CONSOLE // TEST[skip:todo] When the data feed is updated, you receive the following results: [source,js] ---- { "datafeed_id": "datafeed-it-ops-kpi", "job_id": "it-ops-kpi", "query_delay": "60s", "frequency": "150s", ... "aggregations": { "buckets": { "date_histogram": { "field": "@timestamp", "interval": 30000, "offset": 0, "order": { "_key": "asc" }, "keyed": false, "min_doc_count": 0 }, "aggregations": { "events_per_min": { "sum": { "field": "events_per_min" } }, "@timestamp": { "max": { "field": "@timestamp" } } } } }, "scroll_size": 1000, "chunking_config": { "mode": "manual", "time_span": "30000000ms" } } ----