validation api
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@ -332,6 +332,97 @@ Options | Description | Type | Required
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---
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## Validate detector
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Introduced 1.2
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{: .label .label-purple }
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Returns whether the detector configuration has any issues that might prevent OpenSearch from creating the detector.
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You can use the validate API to identify issues in your model configuration before creating the detector.
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The request body consists of the detector configuration and follows the same format as the request body of the create detector API:
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#### Request
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```json
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POST _plugins/_anomaly_detection/detectors/_validate
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POST _plugins/_anomaly_detection/detectors/_validate/detector
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{
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"name": "test-detector",
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"description": "Test detector",
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"time_field": "timestamp",
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"indices": [
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"server_log*"
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],
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"feature_attributes": [
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{
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"feature_name": "test",
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"feature_enabled": true,
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"aggregation_query": {
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"test": {
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"sum": {
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"field": "value"
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}
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}
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}
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}
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],
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"filter_query": {
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"bool": {
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"filter": [
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{
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"range": {
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"value": {
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"gt": 1
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}
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}
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}
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],
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"adjust_pure_negative": true,
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"boost": 1
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}
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},
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"detection_interval": {
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"period": {
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"interval": 1,
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"unit": "Minutes"
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}
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},
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"window_delay": {
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"period": {
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"interval": 1,
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"unit": "Minutes"
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}
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}
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}
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```
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If the validate API doesn’t find any issue in the detector configuration, it returns an empty response:
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#### Sample response
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```json
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{}
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```
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If the validate API finds an issue, it returns a message explaining what's wrong with the configuration. In this example, the feature query is aggregating over a field that doesn’t exist in the data source:
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#### Sample response
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```json
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{
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"detector": {
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"feature_attributes": {
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"message": "Feature has invalid query returning empty aggregated data: average_total_rev",
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"sub_issues": {
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"average_total_rev": "Feature has invalid query returning empty aggregated data"
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}
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}
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}
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}
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```
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---
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## Get detector
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## Get detector
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Introduced 1.0
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Introduced 1.0
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{: .label .label-purple }
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{: .label .label-purple }
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@ -110,7 +110,12 @@ We recommend experimenting with historical analysis with different feature sets
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## Step 4: Review and create
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## Step 4: Review and create
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Review your model configuration and select **Create detector**.
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Review your detector settings and model configurations to make sure that they're valid and then proceed to select **Create detector**.
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![Anomaly detection results]({{site.url}}{{site.baseurl}}/images/review_ad.png)
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If you see any validation errors, edit the settings to fix the errors and then return back to this page.
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{: .note }
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## Step 5: Observe the results
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## Step 5: Observe the results
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@ -80,8 +80,10 @@ These permissions are for the cluster and can't be applied granularly. For examp
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- cluster:admin/opendistro/ad/detector/search
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- cluster:admin/opendistro/ad/detector/search
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- cluster:admin/opendistro/ad/detector/stats
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- cluster:admin/opendistro/ad/detector/stats
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- cluster:admin/opendistro/ad/detector/write
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- cluster:admin/opendistro/ad/detector/write
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- cluster:admin/opendistro/ad/detector/validate
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- cluster:admin/opendistro/ad/detectors/get
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- cluster:admin/opendistro/ad/detectors/get
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- cluster:admin/opendistro/ad/result/search
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- cluster:admin/opendistro/ad/result/search
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- cluster:admin/opendistro/ad/result/topAnomalies
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- cluster:admin/opendistro/ad/tasks/search
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- cluster:admin/opendistro/ad/tasks/search
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- cluster:admin/opendistro/alerting/alerts/ack (acknowledge)
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- cluster:admin/opendistro/alerting/alerts/ack (acknowledge)
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- cluster:admin/opendistro/alerting/alerts/get
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- cluster:admin/opendistro/alerting/alerts/get
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