| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216 | [role="xpack"][testenv="platinum"][[get-dfanalytics]]=== Get {dfanalytics-jobs} API[subs="attributes"]++++<titleabbrev>Get {dfanalytics-jobs}</titleabbrev>++++Retrieves configuration information for {dfanalytics-jobs}.experimental[][[ml-get-dfanalytics-request]]==== {api-request-title}`GET _ml/data_frame/analytics/<data_frame_analytics_id>` +`GET _ml/data_frame/analytics/<data_frame_analytics_id>,<data_frame_analytics_id>` +`GET _ml/data_frame/analytics/` +`GET _ml/data_frame/analytics/_all`[[ml-get-dfanalytics-prereq]]==== {api-prereq-title}If the {es} {security-features} are enabled, you must have the following privileges:* cluster: `monitor_ml`  For more information, see <<security-privileges>> and <<built-in-roles>>.[[ml-get-dfanalytics-desc]]==== {api-description-title}You can get information for multiple {dfanalytics-jobs} in a single API request by using a comma-separated list of {dfanalytics-jobs} or a wildcard expression.[[ml-get-dfanalytics-path-params]]==== {api-path-parms-title}`<data_frame_analytics_id>`::(Optional, string) include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=job-id-data-frame-analytics-default]+--You can get information for all {dfanalytics-jobs} by using _all, by specifying `*` as the `<data_frame_analytics_id>`, or by omitting the `<data_frame_analytics_id>`.--[[ml-get-dfanalytics-query-params]]==== {api-query-parms-title}`allow_no_match`::(Optional, boolean) include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=allow-no-match]`from`::(Optional, integer) include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=from]`size`::(Optional, integer) include::{es-repo-dir}/ml/ml-shared.asciidoc[tag=size][role="child_attributes"][[ml-get-dfanalytics-results]]==== {api-response-body-title}`data_frame_analytics`::(array)An array of {dfanalytics-job} resources, which are sorted by the `id` value in ascending order.+.Properties of {dfanalytics-job} resources[%collapsible%open]====`analysis`:::(object) The type of analysis that is performed on the `source`.//Begin analyzed_fields`analyzed_fields`:::(object) Contains `includes` and/or `excludes` patterns that select which fields are included in the analysis.+.Properties of `analyzed_fields`[%collapsible%open]=====`excludes`:::(Optional, array) An array of strings that defines the fields that are excluded from the analysis.    `includes`:::(Optional, array) An array of strings that defines the fields that are included in the analysis.=====//End analyzed_fields//Begin dest`dest`:::(string) The destination configuration of the analysis.+.Properties of `dest`[%collapsible%open]=====`index`:::(string) The _destination index_ that stores the results of the {dfanalytics-job}.`results_field`:::(string) The name of the field that stores the results of the analysis. Defaults to `ml`.=====//End dest`id`:::(string) The unique identifier of the {dfanalytics-job}.`model_memory_limit`:::(string) The `model_memory_limit` that has been set to the {dfanalytics-job}.`source`:::(object) The configuration of how the analysis data is sourced. It has an `index` parameter and optionally a `query` and a `_source`.+.Properties of `source`[%collapsible%open]=====`index`:::(array) Index or indices on which to perform the analysis. It can be a single index or index pattern as well as an array of indices or patterns.    `query`:::(object) The query that has been specified for the {dfanalytics-job}. The {es} query domain-specific language (<<query-dsl,DSL>>). This value corresponds to the query object in an {es} search POST body. By default, this property has the following value: `{"match_all": {}}`.`_source`:::(object) Contains the specified `includes` and/or `excludes` patterns that select which fields are present in the destination. Fields that are excluded cannot be included in the analysis.+.Properties of `_source`[%collapsible%open]======`excludes`:::(array) An array of strings that defines the fields that are excluded from the destination.        `includes`:::(array) An array of strings that defines the fields that are included in the destination.======//End of _source=====//End source====[[ml-get-dfanalytics-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-dfanalytics-example]]==== {api-examples-title}The following example gets configuration information for the `loganalytics` {dfanalytics-job}:[source,console]--------------------------------------------------GET _ml/data_frame/analytics/loganalytics--------------------------------------------------// TEST[skip:TBD]The API returns the following results:[source,console-result]----{    "count": 1,    "data_frame_analytics": [        {            "id": "loganalytics",            "source": {                "index": "logdata",                "query": {                    "match_all": {}                }            },            "dest": {                "index": "logdata_out",                "results_field": "ml"            },            "analysis": {                "outlier_detection": {}            },            "model_memory_limit": "1gb",            "create_time": 1562265491319,            "version" : "8.0.0"        }    ]}----
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