--- layout: default title: Anomaly detection API parent: Anomaly detection nav_order: 1 --- # Anomaly detection API Use these anomaly detection operations to programmatically create and manage detectors. --- #### Table of contents - TOC {:toc} --- ## Create anomaly detector Introduced 1.0 {: .label .label-purple } Creates an anomaly detector. This command creates a detector named `test-detector` that finds anomalies based on the sum of the `value` field: #### Request ```json POST _plugins/_anomaly_detection/detectors { "name": "test-detector", "description": "Test detector", "time_field": "timestamp", "indices": [ "order*" ], "feature_attributes": [ { "feature_name": "total_order", "feature_enabled": true, "aggregation_query": { "total_order": { "sum": { "field": "value" } } } } ], "filter_query": { "bool": { "filter": [ { "exists": { "field": "value", "boost": 1 } } ], "adjust_pure_negative": true, "boost": 1 } }, "detection_interval": { "period": { "interval": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } } } ``` #### Sample response ```json { "_id": "m4ccEnIBTXsGi3mvMt9p", "_version": 1, "_seq_no": 3, "_primary_term": 1, "anomaly_detector": { "name": "test-detector", "description": "Test detector", "time_field": "timestamp", "indices": [ "order*" ], "filter_query": { "bool": { "filter": [ { "exists": { "field": "value", "boost": 1 } } ], "adjust_pure_negative": true, "boost": 1 } }, "detection_interval": { "period": { "interval": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "schema_version": 0, "feature_attributes": [ { "feature_id": "mYccEnIBTXsGi3mvMd8_", "feature_name": "total_order", "feature_enabled": true, "aggregation_query": { "total_order": { "sum": { "field": "value" } } } } ] } } ``` To set a category field for high cardinality: #### Request ```json POST _plugins/_anomaly_detection/detectors { "name": "Host OK Rate Detector", "description": "ok rate", "time_field": "@timestamp", "indices": [ "host-cloudwatch" ], "category_field": [ "host" ], "feature_attributes": [ { "feature_name": "latency_max", "feature_enabled": true, "aggregation_query": { "latency_max": { "max": { "field": "latency" } } } } ], "window_delay": { "period": { "interval": 10, "unit": "MINUTES" } }, "detection_interval": { "period": { "interval": 1, "unit": "MINUTES" } } } ``` #### Sample response ```json { "_id": "4CIGoHUBTpMGN-4KzBQg", "_version": 1, "_seq_no": 0, "anomaly_detector": { "name": "Host OK Rate Detector", "description": "ok rate", "time_field": "@timestamp", "indices": [ "server-metrics" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 10, "unit": "MINUTES" } }, "shingle_size": 1, "schema_version": 2, "feature_attributes": [ { "feature_id": "0Kld3HUBhpHMyt2e_UHn", "feature_name": "latency_max", "feature_enabled": true, "aggregation_query": { "latency_max": { "max": { "field": "latency" } } } } ], "last_update_time": 1604707601438, "category_field": [ "host" ] }, "_primary_term": 1 } ``` You can specify the following options. Options | Description | Type | Required :--- | :--- |:--- |:--- | `name` | The name of the detector. | `string` | Yes `description` | A description of the detector. | `string` | Yes `time_field` | The name of the time field. | `string` | Yes `indices` | A list of indices to use as the data source. | `list` | Yes `feature_attributes` | Specify a `feature_name`, set the `enabled` parameter to `true`, and specify an aggregation query. | `list` | Yes `filter_query` | Provide an optional filter query for your feature. | `object` | No `detection_interval` | The time interval for your anomaly detector. | `object` | Yes `window_delay` | Add extra processing time for data collection. | `object` | No `category_field` | Categorizes or slices data with a dimension. Similar to `GROUP BY` in SQL. | `list` | No --- ## Preview detector Introduced 1.0 {: .label .label-purple } Passes a date range to the anomaly detector to return any anomalies within that date range. #### Request ```json POST _plugins/_anomaly_detection/detectors//_preview { "period_start": 1612982516000, "period_end": 1614278539000, "detector": { "name": "test-detector", "description": "test server_log", "time_field": "timestamp", "indices": [ "server_log" ], "detection_interval": { "period": { "interval": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "feature_attributes": [ { "feature_name": "F1", "feature_enabled": true, "aggregation_query": { "f_1": { "sum": { "field": "value" } } } } ] } } ``` #### Sample response ```json { "anomaly_result": [ ... { "detector_id": "m4ccEnIBTXsGi3mvMt9p", "data_start_time": 1588843020000, "data_end_time": 1588843620000, "feature_data": [ { "feature_id": "xxokEnIBcpeWMD987A1X", "feature_name": "total_order", "data": 489.9929131106 } ], "anomaly_grade": 0, "confidence": 0.99 } ... ], "anomaly_detector": { "name": "test-detector", "description": "Test detector", "time_field": "timestamp", "indices": [ "order*" ], "filter_query": { "bool": { "filter": [ { "exists": { "field": "value", "boost": 1 } } ], "adjust_pure_negative": true, "boost": 1 } }, "detection_interval": { "period": { "interval": 10, "unit": "MINUTES" } }, "window_delay": { "period": { "interval": 1, "unit": "MINUTES" } }, "schema_version": 0, "feature_attributes": [ { "feature_id": "xxokEnIBcpeWMD987A1X", "feature_name": "total_order", "feature_enabled": true, "aggregation_query": { "total_order": { "sum": { "field": "value" } } } } ], "last_update_time": 1589442309241 } } ``` If you specify a category field, each result is associated with an entity: #### Sample response ```json { "anomaly_result": [ { "detector_id": "4CIGoHUBTpMGN-4KzBQg", "data_start_time": 1604277960000, "data_end_time": 1604278020000, "schema_version": 0, "anomaly_grade": 0, "confidence": 0.99 } ], "entity": [ { "name": "host", "value": "i-00f28ec1eb8997686" } ] }, { "detector_id": "4CIGoHUBTpMGN-4KzBQg", "data_start_time": 1604278020000, "data_end_time": 1604278080000, "schema_version": 0, "feature_data": [ { "feature_id": "0Kld3HUBhpHMyt2e_UHn", "feature_name": "latency_max", "data": -17 } ], "anomaly_grade": 0, "confidence": 0.99, "entity": [ { "name": "host", "value": "i-00f28ec1eb8997686" } ] } ... ``` Or, you can specify the detector ID: ```json POST _plugins/_anomaly_detection/detectors/_preview { "detector_id": "sYkUvHcBiZv51f-Lv8QN", "period_start": 1612982516000, "period_end": 1614278539000 } ``` --- ## Start detector job Introduced 1.0 {: .label .label-purple } Starts a real-time or historical anomaly detector job. #### Request ```json POST _plugins/_anomaly_detection/detectors//_start ``` #### Sample response ```json { "_id" : "m4ccEnIBTXsGi3mvMt9p", "_version" : 1, "_seq_no" : 6, "_primary_term" : 1 } ``` To start historical analysis: ```json POST _plugins/_anomaly_detection/detectors//_start { "start_time": 1503168590000, "end_time": 1617301324000 } ``` --- ## Stop detector job Introduced 1.0 {: .label .label-purple } Stops a real-time or historical anomaly detector job. #### Request ```json POST _plugins/_anomaly_detection/detectors//_stop ``` #### Sample response ```json Stopped detector: m4ccEnIBTXsGi3mvMt9p ``` To stop historical analysis: ```json POST _plugins/_anomaly_detection/detectors//_stop?historical=true ``` --- ## Search detector result Introduced 1.0 {: .label .label-purple } Returns all results for a search query. #### Request ```json GET _plugins/_anomaly_detection/detectors/results/_search POST _plugins/_anomaly_detection/detectors/results/_search { "query": { "bool": { "must": { "range": { "anomaly_score": { "gte": 0.6, "lte": 1 } } } } } } ``` #### Sample response ```json { "took": 9, "timed_out": false, "_shards": { "total": 25, "successful": 25, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 2, "relation": "eq" }, "max_score": 1, "hits": [ { "_index": ".opensearch-anomaly-results-history-2020.04.30-1", "_type": "_doc", "_id": "_KBrzXEBbpoKkFM5mStm", "_version": 1, "_seq_no": 58, "_primary_term": 1, "_score": 1, "_source": { "detector_id": "2KDozHEBbpoKkFM58yr6", "anomaly_score": 0.8995068350366767, "execution_start_time": 1588289313114, "data_end_time": 1588289313114, "confidence": 0.84214852704501, "data_start_time": 1588289253114, "feature_data": [ { "feature_id": "X0fpzHEB5NGZmIRkXKcy", "feature_name": "total_error", "data": 20 } ], "execution_end_time": 1588289313126, "anomaly_grade": 0 } }, { "_index": ".opensearch-anomaly-results-history-2020.04.30-1", "_type": "_doc", "_id": "EqB1zXEBbpoKkFM5qyyE", "_version": 1, "_seq_no": 61, "_primary_term": 1, "_score": 1, "_source": { "detector_id": "2KDozHEBbpoKkFM58yr6", "anomaly_score": 0.7086834513354907, "execution_start_time": 1588289973113, "data_end_time": 1588289973113, "confidence": 0.42162017029510446, "data_start_time": 1588289913113, "feature_data": [ { "feature_id": "X0fpzHEB5NGZmIRkXKcy", "feature_name": "memory_usage", "data": 20.0347333108 } ], "execution_end_time": 1588289973124, "anomaly_grade": 0 } } ] } } ``` In high cardinality detectors, the result contains entity information. To see an ordered set of anomaly records for an entity with an anomaly within a certain time range for a specific feature value: #### Request ```json POST _plugins/_anomaly_detection/detectors/results/_search { "query": { "bool": { "filter": [ { "term": { "detector_id": "4CIGoHUBTpMGN-4KzBQg" } }, { "range": { "anomaly_grade": { "gt": 0 } } }, { "nested": { "path": "entity", "query": { "bool": { "must": [ { "term": { "entity.value": "i-00f28ec1eb8997685" } } ] } } } } ] } }, "size": 8, "sort": [ { "execution_end_time": { "order": "desc" } } ], "track_total_hits": true } ``` #### Sample response ```json { "took": 443, "timed_out": false, "_shards": { "total": 1, "successful": 1, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 7, "relation": "eq" }, "max_score": null, "hits": [ { "_index": ".opensearch-anomaly-results-history-2020.11.07-1", "_type": "_doc", "_id": "BiItoHUBTpMGN-4KARY5", "_version": 1, "_seq_no": 206, "_primary_term": 1, "_score": null, "_source": { "detector_id": "4CIGoHUBTpMGN-4KzBQg", "schema_version": 2, "anomaly_score": 2.462550517055763, "execution_start_time": 1604710105400, "data_end_time": 1604710094516, "confidence": 0.8246254862573076, "data_start_time": 1604710034516, "feature_data": [ { "feature_id": "0Kld3HUBhpHMyt2e_UHn", "feature_name": "latency_max", "data": 3526 } ], "execution_end_time": 1604710105401, "anomaly_grade": 0.08045977011494891, "entity": [ { "name": "host", "value": "i-00f28ec1eb8997685" } ] }, "sort": [ 1604710105401 ] }, { "_index": ".opensearch-anomaly-results-history-2020.11.07-1", "_type": "_doc", "_id": "wiImoHUBTpMGN-4KlhXs", "_version": 1, "_seq_no": 156, "_primary_term": 1, "_score": null, "_source": { "detector_id": "4CIGoHUBTpMGN-4KzBQg", "schema_version": 2, "anomaly_score": 4.892453213261217, "execution_start_time": 1604709684971, "data_end_time": 1604709674522, "confidence": 0.8313735633713821, "data_start_time": 1604709614522, "feature_data": [ { "feature_id": "0Kld3HUBhpHMyt2e_UHn", "feature_name": "latency_max", "data": 5709 } ], "execution_end_time": 1604709684971, "anomaly_grade": 0.06542056074767538, "entity": [ { "name": "host", "value": "i-00f28ec1eb8997685" } ] }, "sort": [ 1604709684971 ] }, { "_index": ".opensearch-anomaly-results-history-2020.11.07-1", "_type": "_doc", "_id": "ZiIcoHUBTpMGN-4KhhVA", "_version": 1, "_seq_no": 79, "_primary_term": 1, "_score": null, "_source": { "detector_id": "4CIGoHUBTpMGN-4KzBQg", "schema_version": 2, "anomaly_score": 3.187717536855158, "execution_start_time": 1604709025343, "data_end_time": 1604709014520, "confidence": 0.8301116064308817, "data_start_time": 1604708954520, "feature_data": [ { "feature_id": "0Kld3HUBhpHMyt2e_UHn", "feature_name": "latency_max", "data": 441 } ], "execution_end_time": 1604709025344, "anomaly_grade": 0.040767386091133916, "entity": [ { "name": "host", "value": "i-00f28ec1eb8997685" } ] }, "sort": [ 1604709025344 ] } ] } } ``` You can query the anomaly results for historical analysis with the `task_id`: #### Request ```json GET _plugins/_anomaly_detection/detectors/results/_search { "query": { "term": { "task_id": { "value": "NnlV9HUBQxqfQ7vBJNzy" } } } } ``` #### Sample response ```json { "took": 1, "timed_out": false, "_shards": { "total": 1, "successful": 1, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 1, "relation": "eq" }, "max_score": 2.1366, "hits": [ { "_index": ".opensearch-anomaly-detection-state", "_type": "_doc", "_id": "CoM8WncBtt2qvI-LZO7_", "_version": 8, "_seq_no": 1351, "_primary_term": 3, "_score": 2.1366, "_source": { "detector_id": "dZc8WncBgO2zoQoFWVBA", "worker_node": "dk6-HuKQRMKm2fi8TSDHsg", "task_progress": 0.09486946, "last_update_time": 1612126667008, "execution_start_time": 1612126643455, "state": "RUNNING", "coordinating_node": "gs213KqjS4q7H4Bmn_ZuLA", "current_piece": 1583503800000, "task_type": "HISTORICAL", "started_by": "admin", "init_progress": 1, "is_latest": true, "detector": { "description": "test", "ui_metadata": { "features": { "F1": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } } }, "detection_date_range": { "start_time": 1580504240308, "end_time": 1612126640308 }, "feature_attributes": [ { "feature_id": "dJc8WncBgO2zoQoFWVAt", "feature_enabled": true, "feature_name": "F1", "aggregation_query": { "f_1": { "sum": { "field": "value" } } } } ], "schema_version": 0, "time_field": "timestamp", "last_update_time": 1612126640448, "indices": [ "server_log" ], "window_delay": { "period": { "unit": "Minutes", "interval": 1 } }, "detection_interval": { "period": { "unit": "Minutes", "interval": 10 } }, "name": "test-historical-detector", "filter_query": { "match_all": { "boost": 1 } }, "shingle_size": 8, "user": { "backend_roles": [ "admin" ], "custom_attribute_names": [], "roles": [ "all_access", "own_index" ], "name": "admin", "user_requested_tenant": "__user__" }, "detector_type": "HISTORICAL_SINGLE_ENTITY" }, "user": { "backend_roles": [ "admin" ], "custom_attribute_names": [], "roles": [ "all_access", "own_index" ], "name": "admin", "user_requested_tenant": "__user__" } } } ] } } ``` You can specify the following options. Options | Description | Type | Required :--- | :--- |:--- |:--- | `anomalyThreshold` | Specify a threshold to filter out low anomaly grade results. Default is -1. Because the lowest possible anomaly grade is 0, -1 means that the detector returns all results. | `float` | No `dateRangeFilter` | Specify the date range in:
- `startTime` (int): Start time to collect results. Add in milliseconds since the Unix Epoch.
- `endTime` (int): End time to collect results. Add in milliseconds since the Unix Epoch.
- `fieldName` (string): The field that you want to match the start and end time. | `object` | Yes `entity` | Specify the entity name and value. Default is empty.
- `name` (string): Field name that you want to search in.
- `value` (string): Entity value that you want to search for. | `object` | No `sort` | Sort the result by a field in a certain order. Default is empty. Properties of `sort`:
- `direction` (string): Specify "desc" or "asc" for descending or ascending order.
- `field` (string): Order the results by a field. | `object` | No --- ## Search detector tasks Introduced 1.1 {: .label .label-purple } Searches detector tasks. #### Request ```json POST _plugins/_anomaly_detection/detectors/tasks/_search { "query": { "bool": { "filter": [ { "term": { "detector_id": { "value": "_6WPu3cBBnauGn7oxUAv" } } }, { "term": { "task_type": { "value": "HISTORICAL_HC_DETECTOR" } } } ] } }, "sort": [ { "execution_start_time": { "order": "desc" } } ] } ``` #### Sample response ```json { "took": 5, "timed_out": false, "_shards": { "total": 1, "successful": 1, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 1, "relation": "eq" }, "max_score": null, "hits": [ { "_index": ".opensearch-anomaly-detection-state", "_type": "_doc", "_id": "TM3tOHwBCi2h__AOXlyQ", "_version": 3, "_seq_no": 14, "_primary_term": 1, "_score": null, "_source": { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "error": "", "detection_date_range": { "start_time": 1632437852100, "end_time": 1633042652100 }, "task_progress": 0.5, "last_update_time": 1633042667358, "execution_start_time": 1633042652810, "state": "RUNNING", "coordinating_node": "2hEGbUw6ShaiKe05n_xLdA", "task_type": "HISTORICAL_HC_DETECTOR", "started_by": "admin", "init_progress": 0, "is_latest": true, "detector": { "category_field": [ "type" ], "description": "test", "ui_metadata": { "features": { "test-feature": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } }, "filters": [] }, "feature_attributes": [ { "feature_id": "7VDtOHwBD5tpxlbyWqPs", "feature_enabled": true, "feature_name": "test-feature", "aggregation_query": { "test_feature": { "sum": { "field": "value" } } } } ], "schema_version": 0, "time_field": "timestamp", "last_update_time": 1633042652012, "indices": [ "server_log" ], "window_delay": { "period": { "unit": "Minutes", "interval": 1 } }, "detection_interval": { "period": { "unit": "Minutes", "interval": 5 } }, "name": "test-detector", "filter_query": { "match_all": { "boost": 1 } }, "shingle_size": 8, "user": { "backend_roles": [ "admin" ], "custom_attribute_names": [], "roles": [ "own_index", "all_access" ], "name": "admin", "user_requested_tenant": null }, "detector_type": "MULTI_ENTITY" }, "user": { "backend_roles": [ "admin" ], "custom_attribute_names": [], "roles": [ "own_index", "all_access" ], "name": "admin", "user_requested_tenant": "__user__" } }, "sort": [ 1633042652810 ] } ] } } ``` --- ## Delete detector Introduced 1.0 {: .label .label-purple } Deletes a detector based on the `detector_id`. To delete a detector, you need to first stop the detector. #### Request ```json DELETE _plugins/_anomaly_detection/detectors/ ``` #### Sample response ```json { "_index": ".opensearch-anomaly-detectors", "_type": "_doc", "_id": "m4ccEnIBTXsGi3mvMt9p", "_version": 2, "result": "deleted", "forced_refresh": true, "_shards": { "total": 2, "successful": 2, "failed": 0 }, "_seq_no": 6, "_primary_term": 1 } ``` --- ## Delete detector results Introduced 1.1 {: .label .label-purple } Deletes the results of a detector based on a query. #### Request ```json DELETE _plugins/_anomaly_detection/detectors/results { "query": { "bool": { "filter": [ { "term": { "detector_id": { "value": "rlDtOHwBD5tpxlbyW7Nt" } } }, { "term": { "task_id": { "value": "TM3tOHwBCi2h__AOXlyQ" } } }, { "range": { "data_start_time": { "lte": 1632441600000 } } } ] } } } ``` #### Sample response ```json { "took": 48, "timed_out": false, "total": 28, "updated": 0, "created": 0, "deleted": 28, "batches": 1, "version_conflicts": 0, "noops": 0, "retries": { "bulk": 0, "search": 0 }, "throttled_millis": 0, "requests_per_second": -1, "throttled_until_millis": 0, "failures": [] } ``` --- ## Update detector Introduced 1.0 {: .label .label-purple } Updates a detector with any changes, including the description or adding or removing of features. To update a detector, you need to first stop the detector. #### Request ```json PUT _plugins/_anomaly_detection/detectors/ { "name": "test-detector", "description": "Test detector", "time_field": "timestamp", "indices": [ "order*" ], "feature_attributes": [ { "feature_name": "total_order", "feature_enabled": true, "aggregation_query": { "total_order": { "sum": { "field": "value" } } } } ], "filter_query": { "bool": { "filter": [ { "exists": { "field": "value", "boost": 1 } } ], "adjust_pure_negative": true, "boost": 1 } }, "detection_interval": { "period": { "interval": 10, "unit": "MINUTES" } }, "window_delay": { "period": { "interval": 1, "unit": "MINUTES" } } } ``` #### Sample response ```json { "_id" : "m4ccEnIBTXsGi3mvMt9p", "_version" : 2, "_seq_no" : 4, "_primary_term" : 1, "anomaly_detector" : { "name" : "test-detector", "description" : "Test detector", "time_field" : "timestamp", "indices" : [ "order*" ], "filter_query" : { "bool" : { "filter" : [ { "exists" : { "field" : "value", "boost" : 1.0 } } ], "adjust_pure_negative" : true, "boost" : 1.0 } }, "detection_interval" : { "period" : { "interval" : 10, "unit" : "Minutes" } }, "window_delay" : { "period" : { "interval" : 1, "unit" : "Minutes" } }, "schema_version" : 0, "feature_attributes" : [ { "feature_id" : "xxokEnIBcpeWMD987A1X", "feature_name" : "total_order", "feature_enabled" : true, "aggregation_query" : { "total_order" : { "sum" : { "field" : "value" } } } } ] } } ``` --- ## Get detector Introduced 1.0 {: .label .label-purple } Returns all information about a detector based on the `detector_id`. #### Request ```json GET _plugins/_anomaly_detection/detectors/ ``` #### Sample response ```json { "_id" : "m4ccEnIBTXsGi3mvMt9p", "_version" : 1, "_primary_term" : 1, "_seq_no" : 3, "anomaly_detector" : { "name" : "test-detector", "description" : "Test detector", "time_field" : "timestamp", "indices" : [ "order*" ], "filter_query" : { "bool" : { "filter" : [ { "exists" : { "field" : "value", "boost" : 1.0 } } ], "adjust_pure_negative" : true, "boost" : 1.0 } }, "detection_interval" : { "period" : { "interval" : 1, "unit" : "Minutes" } }, "window_delay" : { "period" : { "interval" : 1, "unit" : "Minutes" } }, "schema_version" : 0, "feature_attributes" : [ { "feature_id" : "mYccEnIBTXsGi3mvMd8_", "feature_name" : "total_order", "feature_enabled" : true, "aggregation_query" : { "total_order" : { "sum" : { "field" : "value" } } } } ], "last_update_time" : 1589441737319 } } ``` Use `job=true` to get anomaly detection job information. #### Request ```json GET _plugins/_anomaly_detection/detectors/?job=true ``` #### Sample response ```json { "_id": "LJxGsXcBoDQA8W1Q--A1", "_version": 1, "_primary_term": 1, "_seq_no": 0, "anomaly_detector": { "name": "test2", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "K5xGsXcBoDQA8W1Q-uCF", "feature_name": "F1", "feature_enabled": "true", "aggregation_query": { "f_1": { "sum": { "field": "value" } } } } ], "last_update_time": 1613586955060, "detector_type": "MULTI_ENTITY" }, "anomaly_detector_job": { "name": "LJxGsXcBoDQA8W1Q--A1", "schedule": { "interval": { "start_time": 1613587220387, "period": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "enabled": "false", "enabled_time": 1613587220387, "last_update_time": 1613587289169, "lock_duration_seconds": 60, "disabled_time": 1613587289169 }, "anomaly_detection_task": { "task_id": "WZ5LsXcBoDQA8W1QmUa3", "last_update_time": 1613587349022, "error": "Task cancelled by user", "state": "STOPPED", "detector_id": "LJxGsXcBoDQA8W1Q--A1", "task_progress": 0.26321793, "init_progress": 1, "current_piece": 1611030900000, "execution_start_time": 1613587257783, "execution_end_time": 1613587349022, "is_latest": "true", "task_type": "HISTORICAL", "coordinating_node": "NSw5j-3YQeGkH8KESVKlzw", "worker_node": "NSw5j-3YQeGkH8KESVKlzw", "detector": { "name": "test2", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 1, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "K5xGsXcBoDQA8W1Q-uCF", "feature_name": "F1", "feature_enabled": "true", "aggregation_query": { "f_1": { "sum": { "field": "value" } } } } ], "last_update_time": 1613586955060, "detector_type": "MULTI_ENTITY" } } } ``` Use `task=true` to get historical analysis task information. #### Request ```json GET _plugins/_anomaly_detection/detectors/?task=true ``` #### Sample response ```json { "_id": "BwzKQXcB89DLS7G9rg7Y", "_version": 1, "_primary_term": 2, "_seq_no": 10, "anomaly_detector": { "name": "test-ylwu1", "description": "test", "time_field": "timestamp", "indices": [ "ser*" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 10, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "BgzKQXcB89DLS7G9rg7G", "feature_name": "F1", "feature_enabled": true, "aggregation_query": { "f_1": { "sum": { "field": "value" } } } } ], "ui_metadata": { "features": { "F1": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } } }, "last_update_time": 1611716538071, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "all_access", "own_index" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" }, "detector_type": "HISTORICAL_SINGLE_ENTITY", "detection_date_range": { "start_time": 1580094137997, "end_time": 1611716537997 } }, "anomaly_detection_task": { "task_id": "sgxaRXcB89DLS7G9RfIO", "last_update_time": 1611776648699, "started_by": "admin", "state": "FINISHED", "detector_id": "BwzKQXcB89DLS7G9rg7Y", "task_progress": 1, "init_progress": 1, "current_piece": 1611716400000, "execution_start_time": 1611776279822, "execution_end_time": 1611776648679, "is_latest": true, "task_type": "HISTORICAL", "coordinating_node": "gs213KqjS4q7H4Bmn_ZuLA", "worker_node": "PgfR3JhbT7yJMx7bwQ6E3w", "detector": { "name": "test-ylwu1", "description": "test", "time_field": "timestamp", "indices": [ "ser*" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 10, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "BgzKQXcB89DLS7G9rg7G", "feature_name": "F1", "feature_enabled": true, "aggregation_query": { "f_1": { "sum": { "field": "value" } } } } ], "ui_metadata": { "features": { "F1": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } } }, "last_update_time": 1611716538071, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "all_access", "own_index" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" }, "detector_type": "HISTORICAL_SINGLE_ENTITY", "detection_date_range": { "start_time": 1580094137997, "end_time": 1611716537997 } }, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "all_access", "own_index" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" } } } ``` --- ## Search detector Introduced 1.0 {: .label .label-purple } Returns all anomaly detectors for a search query. #### Request ```json GET _plugins/_anomaly_detection/detectors/_search POST _plugins/_anomaly_detection/detectors/_search { "query": { "bool": { "filter": [ { "terms": { "indices": [ "server_log" ] } } ] } } } ``` #### Sample response ```json { "took": 2, "timed_out": false, "_shards": { "total": 1, "successful": 1, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 1, "relation": "eq" }, "max_score": 0, "hits": [ { "_index": ".opensearch-anomaly-detectors", "_type": "_doc", "_id": "rlDtOHwBD5tpxlbyW7Nt", "_version": 1, "_seq_no": 0, "_primary_term": 1, "_score": 0, "_source": { "name": "test-detector", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 5, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "7VDtOHwBD5tpxlbyWqPs", "feature_name": "test-feature", "feature_enabled": true, "aggregation_query": { "test_feature": { "sum": { "field": "value" } } } } ], "last_update_time": 1633042652012, "category_field": [ "type" ], "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": null }, "detector_type": "MULTI_ENTITY" } } ] } } ``` --- ## Get detector stats Introduced 1.0 {: .label .label-purple } Provides information about how the plugin is performing. #### Request ```json GET _plugins/_anomaly_detection/stats GET _plugins/_anomaly_detection//stats GET _plugins/_anomaly_detection//stats/ GET _plugins/_anomaly_detection/stats/ ``` #### Sample response ```json { "anomaly_detectors_index_status": "yellow", "anomaly_detection_state_status": "yellow", "single_entity_detector_count": 0, "detector_count": 1, "multi_entity_detector_count": 0, "anomaly_detection_job_index_status": "yellow", "models_checkpoint_index_status": "yellow", "anomaly_results_index_status": "yellow", "nodes": { "hhfW2ZNVTJCtbs8rO-nF4g": { "ad_execute_request_count": 6, "models": [ { "detector_id": "mmZFeXsB7JcKN0mdnMf4", "model_type": "entity", "last_used_time": 1629827578975, "model_id": "mmZFeXsB7JcKN0mdnMf4_entity_ic43SHH11NWr32xXgjRFwg", "last_checkpoint_time": 1629827339211, "entity": [ { "name": "host", "value": "server_2" }, { "name": "service", "value": "app_6" } ] }, { "detector_id": "mmZFeXsB7JcKN0mdnMf4", "model_type": "entity", "last_used_time": 1629827578979, "model_id": "mmZFeXsB7JcKN0mdnMf4_entity_OIsxy2nXMVdngK6Vv3X0uw", "last_checkpoint_time": 1629827342444, "entity": [ { "name": "host", "value": "server_2" }, { "name": "service", "value": "app_2" } ] }, { "detector_id": "mmZFeXsB7JcKN0mdnMf4", "model_type": "entity", "last_used_time": 1629827578978, "model_id": "mmZFeXsB7JcKN0mdnMf4_entity_I0L8K8ktyVnyL59CVFCLVQ", "last_checkpoint_time": 1629827342068, "entity": [ { "name": "host", "value": "server_1" }, { "name": "service", "value": "app_4" } ] }, { "detector_id": "mmZFeXsB7JcKN0mdnMf4", "model_type": "entity", "last_used_time": 1629827578975, "model_id": "mmZFeXsB7JcKN0mdnMf4_entity_ZoNYVJsq5ry6e-SWXmAt1Q", "last_checkpoint_time": 1629827339435, "entity": [ { "name": "host", "value": "server_1" }, { "name": "service", "value": "app_6" } ] }, { "detector_id": "mmZFeXsB7JcKN0mdnMf4", "model_type": "entity", "last_used_time": 1629827578978, "model_id": "mmZFeXsB7JcKN0mdnMf4_entity_qo2ANH_NS7Bg8iV4AJpHOw", "last_checkpoint_time": 1629827341187, "entity": [ { "name": "host", "value": "server_3" }, { "name": "service", "value": "app_0" } ] }, { "detector_id": "mmZFeXsB7JcKN0mdnMf4", "model_type": "entity", "last_used_time": 1629827578980, "model_id": "mmZFeXsB7JcKN0mdnMf4_entity_412FoQwCykWTAhjVfDGQDg", "last_checkpoint_time": 1629827342983, "entity": [ { "name": "host", "value": "server_1" }, { "name": "service", "value": "app_2" } ] } ], "ad_canceled_batch_task_count": 0, "ad_hc_execute_request_count": 6, "ad_hc_execute_failure_count": 0, "model_count": 21, "ad_execute_failure_count": 0, "ad_batch_task_failure_count": 0, "ad_total_batch_task_execution_count": 0, "ad_executing_batch_task_count": 0 } } } ``` The `model_count` parameter shows the total number of models running on each node’s memory. For historical analysis, you see the values for the following fields: - `ad_total_batch_task_execution_count` - `ad_executing_batch_task_count` - `ad_canceled_batch_task_count` - `ad_batch_task_failure_count` For real-time analysis, these values are 0. #### Sample response ```json { "anomaly_detectors_index_status": "green", "anomaly_detection_state_status": "green", "single_entity_detector_count": 0, "detector_count": 1, "multi_entity_detector_count": 1, "anomaly_detection_job_index_status": "green", "models_checkpoint_index_status": "green", "anomaly_results_index_status": "green", "nodes": { "bCtWtxWPThq0BIn5P5I4Xw": { "ad_execute_request_count": 0, "models": [ { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152729, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error20", "last_checkpoint_time": 1633043556222, "entity": [ { "name": "type", "value": "error20" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152767, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error31", "last_checkpoint_time": 1633043855146, "entity": [ { "name": "type", "value": "error31" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152732, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error16", "last_checkpoint_time": 1633043557253, "entity": [ { "name": "type", "value": "error16" } ] } ], "ad_canceled_batch_task_count": 0, "ad_hc_execute_request_count": 0, "ad_hc_execute_failure_count": 0, "model_count": 8, "ad_execute_failure_count": 0, "ad_batch_task_failure_count": 0, "ad_total_batch_task_execution_count": 15, "ad_executing_batch_task_count": 3 }, "dIyavWhmSYWGz65b4u-lpQ": { "ad_execute_request_count": 0, "models": [ { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152729, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error3", "last_checkpoint_time": 1633043256013, "entity": [ { "name": "type", "value": "error3" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152727, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error1", "last_checkpoint_time": 1633043254819, "entity": [ { "name": "type", "value": "error1" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152735, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error22", "last_checkpoint_time": 1633043557023, "entity": [ { "name": "type", "value": "error22" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152763, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error29", "last_checkpoint_time": 1633043855226, "entity": [ { "name": "type", "value": "error29" } ] } ], "ad_canceled_batch_task_count": 0, "ad_hc_execute_request_count": 0, "ad_hc_execute_failure_count": 0, "model_count": 11, "ad_execute_failure_count": 0, "ad_batch_task_failure_count": 0, "ad_total_batch_task_execution_count": 14, "ad_executing_batch_task_count": 3 }, "2hEGbUw6ShaiKe05n_xLdA": { "ad_execute_request_count": 5, "models": [ { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152714, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error5", "last_checkpoint_time": 1633043256689, "entity": [ { "name": "type", "value": "error5" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152720, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error15", "last_checkpoint_time": 1633043553786, "entity": [ { "name": "type", "value": "error15" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152724, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error17", "last_checkpoint_time": 1633043554909, "entity": [ { "name": "type", "value": "error17" } ] }, { "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "model_type": "entity", "last_used_time": 1633044152751, "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error27", "last_checkpoint_time": 1633043855105, "entity": [ { "name": "type", "value": "error27" } ] } ], "ad_canceled_batch_task_count": 0, "ad_hc_execute_request_count": 5, "ad_hc_execute_failure_count": 0, "model_count": 13, "ad_execute_failure_count": 0, "ad_batch_task_failure_count": 0, "ad_total_batch_task_execution_count": 14, "ad_executing_batch_task_count": 3 } } } ``` --- ## Create monitor Introduced 1.0 {: .label .label-purple } Create a monitor to set up alerts for the detector. #### Request ```json POST _plugins/_alerting/monitors { "type": "monitor", "name": "test-monitor", "enabled": true, "schedule": { "period": { "interval": 20, "unit": "MINUTES" } }, "inputs": [ { "search": { "indices": [ ".opensearch-anomaly-results*" ], "query": { "size": 1, "query": { "bool": { "filter": [ { "range": { "data_end_time": { "from": "{{period_end}}||-20m", "to": "{{period_end}}", "include_lower": true, "include_upper": true, "boost": 1 } } }, { "term": { "detector_id": { "value": "m4ccEnIBTXsGi3mvMt9p", "boost": 1 } } } ], "adjust_pure_negative": true, "boost": 1 } }, "sort": [ { "anomaly_grade": { "order": "desc" } }, { "confidence": { "order": "desc" } } ], "aggregations": { "max_anomaly_grade": { "max": { "field": "anomaly_grade" } } } } } } ], "triggers": [ { "name": "test-trigger", "severity": "1", "condition": { "script": { "source": "return ctx.results[0].aggregations.max_anomaly_grade.value != null && ctx.results[0].aggregations.max_anomaly_grade.value > 0.7 && ctx.results[0].hits.hits[0]._source.confidence > 0.7", "lang": "painless" } }, "actions": [ { "name": "test-action", "destination_id": "ld7912sBlQ5JUWWFThoW", "message_template": { "source": "This is my message body." }, "throttle_enabled": false, "subject_template": { "source": "TheSubject" } } ] } ] } ``` #### Sample response ```json { "_id": "OClTEnIBmSf7y6LP11Jz", "_version": 1, "_seq_no": 10, "_primary_term": 1, "monitor": { "type": "monitor", "schema_version": 1, "name": "test-monitor", "enabled": true, "enabled_time": 1589445384043, "schedule": { "period": { "interval": 20, "unit": "MINUTES" } }, "inputs": [ { "search": { "indices": [ ".opensearch-anomaly-results*" ], "query": { "size": 1, "query": { "bool": { "filter": [ { "range": { "data_end_time": { "from": "{{period_end}}||-20m", "to": "{{period_end}}", "include_lower": true, "include_upper": true, "boost": 1 } } }, { "term": { "detector_id": { "value": "m4ccEnIBTXsGi3mvMt9p", "boost": 1 } } } ], "adjust_pure_negative": true, "boost": 1 } }, "sort": [ { "anomaly_grade": { "order": "desc" } }, { "confidence": { "order": "desc" } } ], "aggregations": { "max_anomaly_grade": { "max": { "field": "anomaly_grade" } } } } } } ], "triggers": [ { "id": "NilTEnIBmSf7y6LP11Jr", "name": "test-trigger", "severity": "1", "condition": { "script": { "source": "return ctx.results[0].aggregations.max_anomaly_grade.value != null && ctx.results[0].aggregations.max_anomaly_grade.value > 0.7 && ctx.results[0].hits.hits[0]._source.confidence > 0.7", "lang": "painless" } }, "actions": [ { "id": "NylTEnIBmSf7y6LP11Jr", "name": "test-action", "destination_id": "ld7912sBlQ5JUWWFThoW", "message_template": { "source": "This is my message body.", "lang": "mustache" }, "throttle_enabled": false, "subject_template": { "source": "TheSubject", "lang": "mustache" } } ] } ], "last_update_time": 1589445384043 } } ``` --- ## Profile detector Introduced 1.0 {: .label .label-purple } Returns information related to the current state of the detector and memory usage, including current errors and shingle size, to help troubleshoot the detector. This command helps locate logs by identifying the nodes that run the anomaly detector job for each detector. It also helps track the initialization percentage, the required shingles, and the estimated time left. #### Request ```json GET _plugins/_anomaly_detection/detectors//_profile/ GET _plugins/_anomaly_detection/detectors//_profile?_all=true GET _plugins/_anomaly_detection/detectors//_profile/ GET _plugins/_anomaly_detection/detectors//_profile/, ``` #### Sample Responses ```json GET _plugins/_anomaly_detection/detectors//_profile { "state": "DISABLED", "error": "Stopped detector: AD models memory usage exceeds our limit." } GET _plugins/_anomaly_detection/detectors//_profile?_all=true&pretty { "state": "RUNNING", "error": "", "models": [ { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error20", "entity": [ { "name": "type", "value": "error20" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error31", "entity": [ { "name": "type", "value": "error31" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error21", "entity": [ { "name": "type", "value": "error21" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error13", "entity": [ { "name": "type", "value": "error13" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error24", "entity": [ { "name": "type", "value": "error24" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error25", "entity": [ { "name": "type", "value": "error25" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error28", "entity": [ { "name": "type", "value": "error28" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error16", "entity": [ { "name": "type", "value": "error16" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error3", "entity": [ { "name": "type", "value": "error3" } ], "model_size_in_bytes": 403491, "node_id": "dIyavWhmSYWGz65b4u-lpQ" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error27", "entity": [ { "name": "type", "value": "error27" } ], "model_size_in_bytes": 403491, "node_id": "2hEGbUw6ShaiKe05n_xLdA" } ], "total_size_in_bytes": 12911712, "init_progress": { "percentage": "100%" }, "total_entities": 33, "active_entities": 32, "ad_task": { "ad_task": { "task_id": "Os4HOXwBCi2h__AONgpc", "last_update_time": 1633044347855, "started_by": "admin", "state": "RUNNING", "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "task_progress": 0, "init_progress": 0, "execution_start_time": 1633044346460, "is_latest": true, "task_type": "HISTORICAL_HC_DETECTOR", "coordinating_node": "2hEGbUw6ShaiKe05n_xLdA", "detector": { "name": "test-detector", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 5, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "7VDtOHwBD5tpxlbyWqPs", "feature_name": "test-feature", "feature_enabled": true, "aggregation_query": { "test_feature": { "sum": { "field": "value" } } } } ], "ui_metadata": { "features": { "test-feature": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } }, "filters": [] }, "last_update_time": 1633042652012, "category_field": [ "type" ], "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": null }, "detector_type": "MULTI_ENTITY" }, "detection_date_range": { "start_time": 1632437820000, "end_time": 1633042620000 }, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" } }, "node_id": "2hEGbUw6ShaiKe05n_xLdA", "task_id": "Os4HOXwBCi2h__AONgpc", "task_type": "HISTORICAL_HC_DETECTOR", "detector_task_slots": 10, "total_entities_count": 32, "pending_entities_count": 22, "running_entities_count": 10, "running_entities": [ "error9", "error8", "error7", "error6", "error5", "error4", "error32", "error31", "error30", "error3" ], "entity_task_profiles": [ { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "bCtWtxWPThq0BIn5P5I4Xw", "entity": [ { "name": "type", "value": "error6" } ], "task_id": "P84HOXwBCi2h__AOOgrC", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "dIyavWhmSYWGz65b4u-lpQ", "entity": [ { "name": "type", "value": "error4" } ], "task_id": "Kc4HOXwBCi2h__AOOw6Y", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "dIyavWhmSYWGz65b4u-lpQ", "entity": [ { "name": "type", "value": "error8" } ], "task_id": "Pc4HOXwBCi2h__AOOgqJ", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "2hEGbUw6ShaiKe05n_xLdA", "entity": [ { "name": "type", "value": "error7" } ], "task_id": "Ps4HOXwBCi2h__AOOgqh", "task_type": "HISTORICAL_HC_ENTITY" } ] }, "model_count": 32 } GET _plugins/_anomaly_detection/detectors//_profile/total_size_in_bytes { "total_size_in_bytes": 13369344 } ``` You can see the `ad_task` field only for historical analysis. The `model_count` parameter shows the total number of models that a detector runs in memory. This is useful if you have several models running on your cluster and want to know the count. If you configured the category field, you can see the number of unique values in the field and all active entities with models running in memory. You can use this data to estimate how much memory is required for anomaly detection so you can decide how to size your cluster. For example, if a detector has one million entities and only 10 of them are active in memory, you need to scale your cluster up or out. #### Request ```json GET _plugins/_anomaly_detection/detectors//_profile?_all=true&pretty { "state": "RUNNING", "error": "", "models": [ { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error20", "entity": [ { "name": "type", "value": "error20" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error13", "entity": [ { "name": "type", "value": "error13" } ], "model_size_in_bytes": 403491, "node_id": "bCtWtxWPThq0BIn5P5I4Xw" }, { "model_id": "rlDtOHwBD5tpxlbyW7Nt_entity_error27", "entity": [ { "name": "type", "value": "error27" } ], "model_size_in_bytes": 403491, "node_id": "2hEGbUw6ShaiKe05n_xLdA" } ], "total_size_in_bytes": 12911712, "init_progress": { "percentage": "100%" }, "total_entities": 33, "active_entities": 32, "ad_task": { "ad_task": { "task_id": "Os4HOXwBCi2h__AONgpc", "last_update_time": 1633044347855, "started_by": "admin", "state": "RUNNING", "detector_id": "rlDtOHwBD5tpxlbyW7Nt", "task_progress": 0, "init_progress": 0, "execution_start_time": 1633044346460, "is_latest": true, "task_type": "HISTORICAL_HC_DETECTOR", "coordinating_node": "2hEGbUw6ShaiKe05n_xLdA", "detector": { "name": "test-detector", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 5, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "7VDtOHwBD5tpxlbyWqPs", "feature_name": "test-feature", "feature_enabled": true, "aggregation_query": { "test_feature": { "sum": { "field": "value" } } } } ], "ui_metadata": { "features": { "test-feature": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } }, "filters": [] }, "last_update_time": 1633042652012, "category_field": [ "type" ], "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": null }, "detector_type": "MULTI_ENTITY" }, "detection_date_range": { "start_time": 1632437820000, "end_time": 1633042620000 }, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" } }, "node_id": "2hEGbUw6ShaiKe05n_xLdA", "task_id": "Os4HOXwBCi2h__AONgpc", "task_type": "HISTORICAL_HC_DETECTOR", "detector_task_slots": 10, "total_entities_count": 32, "pending_entities_count": 22, "running_entities_count": 10, "running_entities": [ "error9", "error8", "error7", "error6", "error5", "error4", "error32", "error31", "error30", "error3" ], "entity_task_profiles": [ { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "bCtWtxWPThq0BIn5P5I4Xw", "entity": [ { "name": "type", "value": "error6" } ], "task_id": "P84HOXwBCi2h__AOOgrC", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "bCtWtxWPThq0BIn5P5I4Xw", "entity": [ { "name": "type", "value": "error5" } ], "task_id": "QM4HOXwBCi2h__AOOgre", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "bCtWtxWPThq0BIn5P5I4Xw", "entity": [ { "name": "type", "value": "error9" } ], "task_id": "PM4HOXwBCi2h__AOOgp3", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "2hEGbUw6ShaiKe05n_xLdA", "entity": [ { "name": "type", "value": "error3" } ], "task_id": "Fs4HOXwBCi2h__AOPBLH", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "2hEGbUw6ShaiKe05n_xLdA", "entity": [ { "name": "type", "value": "error32" } ], "task_id": "Ks4HOXwBCi2h__AOOw7D", "task_type": "HISTORICAL_HC_ENTITY" }, { "shingle_size": 8, "rcf_total_updates": 994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "2hEGbUw6ShaiKe05n_xLdA", "entity": [ { "name": "type", "value": "error7" } ], "task_id": "Ps4HOXwBCi2h__AOOgqh", "task_type": "HISTORICAL_HC_ENTITY" } ] }, "model_count": 32 } ``` For a single-entity detector: #### Sample response ```json { "state": "INIT", "total_size_in_bytes": 0, "init_progress": { "percentage": "0%", "needed_shingles": 128 }, "ad_task": { "ad_task": { "task_id": "cfUNOXwBFLNqSEcxAlde", "last_update_time": 1633044731640, "started_by": "admin", "state": "RUNNING", "detector_id": "qL4NOXwB__6eNorTAKtJ", "task_progress": 0.49603173, "init_progress": 1, "current_piece": 1632739800000, "execution_start_time": 1633044726365, "is_latest": true, "task_type": "HISTORICAL_SINGLE_ENTITY", "coordinating_node": "bCtWtxWPThq0BIn5P5I4Xw", "worker_node": "dIyavWhmSYWGz65b4u-lpQ", "detector": { "name": "detector1", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 5, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "p74NOXwB__6eNorTAKss", "feature_name": "test-feature", "feature_enabled": true, "aggregation_query": { "test_feature": { "sum": { "field": "value" } } } } ], "ui_metadata": { "features": { "test-feature": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } }, "filters": [] }, "last_update_time": 1633044725832, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" }, "detector_type": "SINGLE_ENTITY" }, "detection_date_range": { "start_time": 1632439925885, "end_time": 1633044725885 }, "user": { "name": "admin", "backend_roles": [ "admin" ], "roles": [ "own_index", "all_access" ], "custom_attribute_names": [], "user_requested_tenant": "__user__" } }, "shingle_size": 8, "rcf_total_updates": 1994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "model_size_in_bytes": 1593240, "node_id": "dIyavWhmSYWGz65b4u-lpQ", "detector_task_slots": 1 } } ``` The `total_entities` parameter shows you the total number of entities including the number of category fields for a detector. Getting the total count of entities is an expensive operation for a detector with more than one category field. By default, a real-time detector counts the number of entities up to a value of 10,000 and historical analysis counts the number of entities up to a value of 1,000. The `profile` operation also provides information about each entity, such as the entity’s `last_sample_timestamp` and `last_active_timestamp`. `last_sample_timestamp` shows the last document in the input data source index containing the entity, while `last_active_timestamp` shows the timestamp when the entity’s model was last seen in the model cache. If there are no anomaly results for an entity, either the entity doesn't have any sample data or its model is removed from the model cache. #### Request ```json GET _plugins/_anomaly_detection/detectors//_profile?_all=true { "entity": [ { "name": "host", "value": "i-00f28ec1eb8997686" } ] } ``` #### Sample Responses ```json { "category_field": "host", "value": "i-00f28ec1eb8997686", "is_active": true, "last_active_timestamp": 1604026394879, "last_sample_timestamp": 1604026394879, "init_progress": { "percentage": "100%" }, "model": { "model_id": "TFUdd3UBBwIAGQeRh5IS_entity_i-00f28ec1eb8997686", "model_size_in_bytes": 712480, "node_id": "MQ-bTBW3Q2uU_2zX3pyEQg" }, "state": "RUNNING" } ``` For historical analysis, specify `_all` or `ad_task` to see information about its latest task: #### Request ```json GET _plugins/_anomaly_detection/detectors//_profile?_all GET _plugins/_anomaly_detection/detectors//_profile/ad_task ``` #### Sample Responses ```json { "ad_task": { "ad_task": { "task_id": "JXxyG3YBv5IHYYfMlFS2", "last_update_time": 1606778263543, "state": "STOPPED", "detector_id": "SwvxCHYBPhugfWD9QAL6", "task_progress": 0.010480972, "init_progress": 1, "current_piece": 1578140400000, "execution_start_time": 1606778262709, "is_latest": true, "task_type": "HISTORICAL", "detector": { "name": "historical_test1", "description": "test", "time_field": "timestamp", "indices": [ "server_log" ], "filter_query": { "match_all": { "boost": 1 } }, "detection_interval": { "period": { "interval": 5, "unit": "Minutes" } }, "window_delay": { "period": { "interval": 1, "unit": "Minutes" } }, "shingle_size": 8, "schema_version": 0, "feature_attributes": [ { "feature_id": "zgvyCHYBPhugfWD9Ap_F", "feature_name": "sum", "feature_enabled": true, "aggregation_query": { "sum": { "sum": { "field": "value" } } } }, { "feature_id": "zwvyCHYBPhugfWD9Ap_G", "feature_name": "max", "feature_enabled": true, "aggregation_query": { "max": { "max": { "field": "value" } } } } ], "ui_metadata": { "features": { "max": { "aggregationBy": "max", "aggregationOf": "value", "featureType": "simple_aggs" }, "sum": { "aggregationBy": "sum", "aggregationOf": "value", "featureType": "simple_aggs" } }, "filters": [], "filterType": "simple_filter" }, "last_update_time": 1606467935713, "detector_type": "HISTORICAL_SIGLE_ENTITY", "detection_date_range": { "start_time": 1577840400000, "end_time": 1606463775000 } } }, "shingle_size": 8, "rcf_total_updates": 1994, "threshold_model_trained": true, "threshold_model_training_data_size": 0, "node_id": "Q9yznwxvTz-yJxtz7rJlLg" } } ``` ---