--- title: Update metric SQL model description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Experiments --- > For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt). {% callout %} # Important note for users on the following Datadog sites: app.ddog-gov.com, us2.ddog-gov.com {% alert level="danger" %} This product is not supported for your selected [Datadog site](https://docs.datadoghq.com/getting_started/site.md). ({% placeholder "user-datadog-site-name" /%}). {% /alert %} {% /callout %} # Update metric SQL model{% #update-metric-sql-model %} {% tab title="v2" %} | Datadog site | API endpoint | | ----------------- | -------------------------------------------------------------------------------------------- | | ap1.datadoghq.com | PUT https://api.ap1.datadoghq.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | ap2.datadoghq.com | PUT https://api.ap2.datadoghq.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | app.datadoghq.eu | PUT https://api.datadoghq.eu/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | app.ddog-gov.com | PUT https://api.ddog-gov.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | us2.ddog-gov.com | PUT https://api.us2.ddog-gov.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | uk1.datadoghq.com | PUT https://api.uk1.datadoghq.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | app.datadoghq.com | PUT https://api.datadoghq.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | us3.datadoghq.com | PUT https://api.us3.datadoghq.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | | us5.datadoghq.com | PUT https://api.us5.datadoghq.com/api/v2/experiments/metric-sql-models/{metric_sql_model_id} | ### Overview Replace a metric SQL model. This is a destructive full replace: subject types, customer-defined measures, and properties absent from the body are deleted, so send the complete set. Properties are matched by name; changing a property's column, type, or description preserves its ID. column_type is required for every measure and property. Removing a measure or property that an active metric references returns 409 Conflict. Server-generated IDs returned by GET are read-only and can be left in a replayed body. The response reports removals in meta.deleted_subject_types, meta.deleted_measures, and meta.deleted_properties. Certification is read-only. Certified models cannot be replaced through this endpoint. This endpoint requires the `product_analytics_warehouse_model_write` permission. OAuth apps require the `product_analytics_warehouse_model_write` authorization [scope](https://docs.datadoghq.com/api/latest/scopes.md#experiments) to access this endpoint. ### Arguments #### Path Parameters | Name | Type | Description | | ------------------------------------- | ------ | --------------------------------- | | metric_sql_model_id [*required*] | string | The UUID of the metric SQL model. | ### Request #### Body Data (required) {% tab title="Model" %} | Parent field | Field | Type | Description | | ------------- | ---------------------------------- | -------- | ---------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | Metric SQL model resource to create. | | data | attributes [*required*] | object | Complete column mappings and query used to replace the metric SQL model. | | attributes | date_partition_column | string | SQL column used to partition the source data by date. | | attributes | description | string | Text that explains the metric SQL model. | | attributes | measures | [object] | Measures available from the SQL model's result columns. | | measures | column_name [*required*] | string | SQL result column that contains the measure values. | | measures | column_type [*required*] | enum | Data type of a column in the SQL model. Allowed enum values: `STRING,INTEGER,FLOAT,BOOLEAN,DATE,TIMESTAMP` | | measures | description | string | Description of the measure. | | measures | migration_metadata | | Metadata associated with migration of this resource. | | measures | name | string | Display name of the measure. | | attributes | migration_metadata | | Metadata retained for resources imported from another system. | | attributes | name [*required*] | string | Display name of the metric SQL model. | | attributes | properties | [object] | Property columns exposed by the SQL model. | | properties | column_name [*required*] | string | Name of the SQL result column that supplies this property. | | properties | column_type [*required*] | enum | Data type of a column in the SQL model. Allowed enum values: `STRING,INTEGER,FLOAT,BOOLEAN,DATE,TIMESTAMP` | | properties | description | string | Optional text that explains what this property represents. | | properties | migration_metadata | | Opaque metadata preserved when this property is migrated. | | properties | name [*required*] | string | Name used to identify the property in the model. | | attributes | sql [*required*] | string | SQL query that produces the model's source data. | | attributes | subject_types [*required*] | [object] | Subject types mapped to columns in the SQL model. | | subject_types | column_name [*required*] | string | SQL result column that contains the subject identifier. | | subject_types | subject_type_id [*required*] | string | Identifier of the subject type mapped to this column. | | attributes | timestamp_column [*required*] | string | SQL column that supplies the event timestamp. | | data | id | string | Optional JSON:API resource identifier field. | | data | type [*required*] | enum | Metric SQL models resource type. Allowed enum values: `metric-sql-models` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "date_partition_column": null, "description": null, "measures": [ { "column_name": "revenue", "column_type": "STRING", "description": null, "migration_metadata": "undefined", "name": null } ], "migration_metadata": "undefined", "name": "Order facts", "properties": [ { "column_name": "item_type", "column_type": "STRING", "description": null, "migration_metadata": "undefined", "name": "item_type" } ], "sql": "SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders", "subject_types": [ { "column_name": "user_id", "subject_type_id": "550e8400-e29b-41d4-a716-446655440010" } ], "timestamp_column": "created_at" }, "id": "string", "type": "metric-sql-models" } } ``` {% /tab %} ### Response {% tab title="200" %} OK {% tab title="Model" %} Updated metric SQL model and its removed entries. | Parent field | Field | Type | Description | | ------------- | ------------------------------- | --------- | ----------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | JSON:API resource containing the metric SQL model identity and fields. | | data | attributes | object | Details of the metric SQL model. | | attributes | certified_at | date-time | Time when this resource was certified. | | attributes | created_at | date-time | Time when this resource was created. | | attributes | date_partition_column | string | SQL column used to partition the source data by date. | | attributes | description | string | Text that explains the metric SQL model. | | attributes | event_count_measure_id | string | Read-only measure ID. Pass it as warehouse_metric_measure.id when the metric operation is count. | | attributes | experiment_count | int64 | Number of experiments that reference this resource. | | attributes | is_certified | boolean | Whether this resource has been certified. | | attributes | measures | [object] | Measures available from the SQL model's result columns. | | measures | column_name | string | Name of the SQL result column that supplies this measure. | | measures | column_type | enum | Data type of a column in the SQL model. Allowed enum values: `STRING,INTEGER,FLOAT,BOOLEAN,DATE,TIMESTAMP` | | measures | description | string | Text that explains the measure. | | measures | id | string | ID of the measure. | | measures | migration_metadata | | Metadata retained for resources imported from another system. | | measures | name | string | Display name of the measure. | | attributes | metric_count | int64 | Number of metrics that use this SQL model. | | attributes | migration_metadata | | Metadata retained for resources imported from another system. | | attributes | name | string | Display name of the metric SQL model. | | attributes | properties | [object] | Property columns exposed by the SQL model. | | properties | column_name | string | Name of the SQL result column that supplies this measure. | | properties | column_type | enum | Data type of a column in the SQL model. Allowed enum values: `STRING,INTEGER,FLOAT,BOOLEAN,DATE,TIMESTAMP` | | properties | description | string | Text that explains the measure. | | properties | id | string | ID of the measure. | | properties | migration_metadata | | Metadata retained for resources imported from another system. | | properties | name | string | Display name of the measure. | | attributes | sql | string | SQL query that produces the model's source data. | | attributes | subject_types | [object] | Subject types mapped to columns in the SQL model. | | subject_types | column_name | string | Name of the SQL result column that identifies subjects of this type. | | subject_types | subject_type_id | string | ID of the subject type used by this configuration. | | subject_types | unique_subject_count_measure_id | string | Read-only measure ID. Pass it as warehouse_metric_measure.id when the metric operation is `uniqueSubjects`. | | attributes | timestamp_column | string | SQL column that supplies the event timestamp. | | attributes | updated_at | date-time | Time when this resource was last updated. | | data | id [*required*] | uuid | ID of the metric SQL model. | | data | type [*required*] | enum | Metric SQL models resource type. Allowed enum values: `metric-sql-models` | | | meta | object | Model entries removed by the update. Empty arrays mean no entries were removed. | | meta | deleted_measures | [string] | Measure column names removed from the model. | | meta | deleted_properties | [string] | Property names removed from the model. | | meta | deleted_subject_types | [string] | Subject type IDs removed from the model. | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "created_at": "2024-01-01T12:00:00Z", "event_count_measure_id": "550e8400-e29b-41d4-a716-446655440024", "is_certified": false, "measures": [ { "column_name": "revenue", "column_type": "FLOAT", "id": "550e8400-e29b-41d4-a716-446655440021", "name": "revenue" } ], "name": "Order facts", "properties": [ { "column_name": "item_type", "column_type": "STRING", "id": "550e8400-e29b-41d4-a716-446655440023", "name": "item_type" } ], "sql": "SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders", "subject_types": [ { "column_name": "user_id", "subject_type_id": "550e8400-e29b-41d4-a716-446655440010", "unique_subject_count_measure_id": "550e8400-e29b-41d4-a716-446655440022" } ], "timestamp_column": "created_at", "updated_at": "2024-01-01T12:00:00Z" }, "id": "550e8400-e29b-41d4-a716-446655440020", "type": "metric-sql-models" } } ``` {% /tab %} {% /tab %} {% tab title="400" %} Malformed ID or body, validation failure, or the SQL was rejected by the warehouse validator. {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="401" %} Missing or invalid authentication. {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="403" %} Authenticated caller lacks the product_analytics_warehouse_model_write permission. {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="404" %} No metric SQL model with this ID exists for the organization. {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="409" %} The model is certified or managed by metric sync, or the update would remove a measure or property still used by an active metric. {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="429" %} Too many requests {% tab title="Model" %} API error response. | Field | Type | Description | | ------------------------ | -------- | ----------------- | | errors [*required*] | [string] | A list of errors. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} ### Code Example ##### \## default # \# Path parameters export metric_sql_model_id="550e8400-e29b-41d4-a716-446655440000" \# Use a Personal Access Token or Service Access Token export DD_BEARER_TOKEN="" \# Curl command curl -X PUT "https://api.datadoghq.com/api/v2/experiments/metric-sql-models/${metric_sql_model_id}" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" \ -d @- << EOF { "data": { "attributes": { "date_partition_column": null, "description": null, "measures": [ { "column_name": "revenue", "column_type": "FLOAT", "description": null, "name": null } ], "name": "Order facts", "sql": "SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders", "subject_types": [ { "column_name": "user_id", "subject_type_id": "550e8400-e29b-41d4-a716-446655440010" } ], "timestamp_column": "created_at" }, "type": "metric-sql-models" } } EOF ##### ```python """ Update metric SQL model returns "OK" response """ from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.experiments_api import ExperimentsApi from datadog_api_client.v2.model.experiments_create_exposure_sql_model_v2_request_data_attributes_items_column_type import ( ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType, ) from datadog_api_client.v2.model.experiments_create_exposure_sql_model_v2_request_data_attributes_subject_types_items import ( ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems, ) from datadog_api_client.v2.model.experiments_create_metric_sql_model_v2_request import ( ExperimentsCreateMetricSQLModelV2Request, ) from datadog_api_client.v2.model.experiments_create_metric_sql_model_v2_request_data import ( ExperimentsCreateMetricSQLModelV2RequestData, ) from datadog_api_client.v2.model.experiments_create_metric_sql_model_v2_request_data_attributes_measures_items import ( ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems, ) from datadog_api_client.v2.model.experiments_metric_sql_model_property_input import ( ExperimentsMetricSQLModelPropertyInput, ) from datadog_api_client.v2.model.experiments_update_metric_sql_model_v2_request_data_attributes import ( ExperimentsUpdateMetricSQLModelV2RequestDataAttributes, ) from datadog_api_client.v2.model.experiments_update_metric_sql_model_v2_request_data_type import ( ExperimentsUpdateMetricSQLModelV2RequestDataType, ) from uuid import UUID body = ExperimentsCreateMetricSQLModelV2Request( data=ExperimentsCreateMetricSQLModelV2RequestData( attributes=ExperimentsUpdateMetricSQLModelV2RequestDataAttributes( date_partition_column=None, description=None, measures=[ ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems( column_name="revenue", column_type=ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType.FLOAT, description=None, name=None, ), ], name="Order facts", properties=[ ExperimentsMetricSQLModelPropertyInput( column_name="item_type", column_type=ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType.STRING, description=None, name="item_type", ), ], sql="SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders", subject_types=[ ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems( column_name="user_id", subject_type_id="550e8400-e29b-41d4-a716-446655440010", ), ], timestamp_column="created_at", ), type=ExperimentsUpdateMetricSQLModelV2RequestDataType.METRIC_SQL_MODELS, ), ) configuration = Configuration() configuration.access_token = environ["DD_BEARER_TOKEN"] with ApiClient(configuration) as api_client: api_instance = ExperimentsApi(api_client) response = api_instance.update_metric_sql_model( metric_sql_model_id=UUID("550e8400-e29b-41d4-a716-446655440000"), body=body ) print(response) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" python3 "example.py" ##### ```ruby # Update metric SQL model returns "OK" response require "datadog_api_client" DatadogAPIClient.configure do |config| config.access_token = ENV["DD_BEARER_TOKEN"] end api_instance = DatadogAPIClient::V2::ExperimentsAPI.new body = DatadogAPIClient::V2::ExperimentsCreateMetricSQLModelV2Request.new({ data: DatadogAPIClient::V2::ExperimentsCreateMetricSQLModelV2RequestData.new({ attributes: DatadogAPIClient::V2::ExperimentsUpdateMetricSQLModelV2RequestDataAttributes.new({ date_partition_column: nil, description: nil, measures: [ DatadogAPIClient::V2::ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems.new({ column_name: "revenue", column_type: DatadogAPIClient::V2::ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType::FLOAT, description: nil, name: nil, }), ], name: "Order facts", properties: [ DatadogAPIClient::V2::ExperimentsMetricSQLModelPropertyInput.new({ column_name: "item_type", column_type: DatadogAPIClient::V2::ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType::STRING, description: nil, name: "item_type", }), ], sql: "SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders", subject_types: [ DatadogAPIClient::V2::ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems.new({ column_name: "user_id", subject_type_id: "550e8400-e29b-41d4-a716-446655440010", }), ], timestamp_column: "created_at", }), type: DatadogAPIClient::V2::ExperimentsUpdateMetricSQLModelV2RequestDataType::METRIC_SQL_MODELS, }), }) p api_instance.update_metric_sql_model("550e8400-e29b-41d4-a716-446655440000", body) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" rb "example.rb" ##### ```go // Update metric SQL model returns "OK" response package main import ( "context" "encoding/json" "fmt" "os" "github.com/DataDog/datadog-api-client-go/v2/api/datadog" "github.com/DataDog/datadog-api-client-go/v2/api/datadogV2" "github.com/google/uuid" ) func main() { body := datadogV2.ExperimentsCreateMetricSQLModelV2Request{ Data: datadogV2.ExperimentsCreateMetricSQLModelV2RequestData{ Attributes: datadogV2.ExperimentsUpdateMetricSQLModelV2RequestDataAttributes{ DatePartitionColumn: *datadog.NewNullableString(nil), Description: *datadog.NewNullableString(nil), Measures: []datadogV2.ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems{ { ColumnName: "revenue", ColumnType: datadogV2.EXPERIMENTSCREATEEXPOSURESQLMODELV2REQUESTDATAATTRIBUTESITEMSCOLUMNTYPE_FLOAT, Description: *datadog.NewNullableString(nil), Name: *datadog.NewNullableString(nil), }, }, Name: "Order facts", Properties: []datadogV2.ExperimentsMetricSQLModelPropertyInput{ { ColumnName: "item_type", ColumnType: datadogV2.EXPERIMENTSCREATEEXPOSURESQLMODELV2REQUESTDATAATTRIBUTESITEMSCOLUMNTYPE_STRING, Description: *datadog.NewNullableString(nil), Name: "item_type", }, }, Sql: "SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders", SubjectTypes: []datadogV2.ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems{ { ColumnName: "user_id", SubjectTypeId: "550e8400-e29b-41d4-a716-446655440010", }, }, TimestampColumn: "created_at", }, Type: datadogV2.EXPERIMENTSUPDATEMETRICSQLMODELV2REQUESTDATATYPE_METRIC_SQL_MODELS, }, } ctx := datadog.NewDefaultContext(context.Background()) ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN")) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewExperimentsApi(apiClient) resp, r, err := api.UpdateMetricSQLModel(ctx, uuid.MustParse("550e8400-e29b-41d4-a716-446655440000"), body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `ExperimentsApi.UpdateMetricSQLModel`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.UpdateMetricSQLModel`:\n%s\n", responseContent) } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" go run "main.go" ##### ```java // Update metric SQL model returns "OK" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v2.api.ExperimentsApi; import com.datadog.api.client.v2.model.ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType; import com.datadog.api.client.v2.model.ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems; import com.datadog.api.client.v2.model.ExperimentsCreateMetricSQLModelV2Request; import com.datadog.api.client.v2.model.ExperimentsCreateMetricSQLModelV2RequestData; import com.datadog.api.client.v2.model.ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems; import com.datadog.api.client.v2.model.ExperimentsMetricSQLModelPropertyInput; import com.datadog.api.client.v2.model.ExperimentsUpdateMetricSQLModelV2RequestDataAttributes; import com.datadog.api.client.v2.model.ExperimentsUpdateMetricSQLModelV2RequestDataType; import com.datadog.api.client.v2.model.ExperimentsUpdateMetricSQLModelV2Response; import java.util.Collections; import java.util.UUID; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN")); ExperimentsApi apiInstance = new ExperimentsApi(defaultClient); ExperimentsCreateMetricSQLModelV2Request body = new ExperimentsCreateMetricSQLModelV2Request() .data( new ExperimentsCreateMetricSQLModelV2RequestData() .attributes( new ExperimentsUpdateMetricSQLModelV2RequestDataAttributes() .datePartitionColumn(null) .description(null) .measures( Collections.singletonList( new ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems() .columnName("revenue") .columnType( ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType .FLOAT) .description(null) .name(null))) .name("Order facts") .properties( Collections.singletonList( new ExperimentsMetricSQLModelPropertyInput() .columnName("item_type") .columnType( ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType .STRING) .description(null) .name("item_type"))) .sql( "SELECT user_id, order_id, item_type, revenue, created_at FROM" + " analytics.orders") .subjectTypes( Collections.singletonList( new ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems() .columnName("user_id") .subjectTypeId("550e8400-e29b-41d4-a716-446655440010"))) .timestampColumn("created_at")) .type(ExperimentsUpdateMetricSQLModelV2RequestDataType.METRIC_SQL_MODELS)); try { ExperimentsUpdateMetricSQLModelV2Response result = apiInstance.updateMetricSQLModel( UUID.fromString("550e8400-e29b-41d4-a716-446655440000"), body); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling ExperimentsApi#updateMetricSQLModel"); System.err.println("Status code: " + e.getCode()); System.err.println("Reason: " + e.getResponseBody()); System.err.println("Response headers: " + e.getResponseHeaders()); e.printStackTrace(); } } } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands: DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" java "Example.java" ##### ```rust // Update metric SQL model returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI; use datadog_api_client::datadogV2::model::ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType; use datadog_api_client::datadogV2::model::ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems; use datadog_api_client::datadogV2::model::ExperimentsCreateMetricSQLModelV2Request; use datadog_api_client::datadogV2::model::ExperimentsCreateMetricSQLModelV2RequestData; use datadog_api_client::datadogV2::model::ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems; use datadog_api_client::datadogV2::model::ExperimentsMetricSQLModelPropertyInput; use datadog_api_client::datadogV2::model::ExperimentsUpdateMetricSQLModelV2RequestDataAttributes; use datadog_api_client::datadogV2::model::ExperimentsUpdateMetricSQLModelV2RequestDataType; use uuid::Uuid; #[tokio::main] async fn main() { let body = ExperimentsCreateMetricSQLModelV2Request::new( ExperimentsCreateMetricSQLModelV2RequestData::new( ExperimentsUpdateMetricSQLModelV2RequestDataAttributes::new( "Order facts".to_string(), "SELECT user_id, order_id, item_type, revenue, created_at FROM analytics.orders" .to_string(), vec![ ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems::new( "user_id".to_string(), "550e8400-e29b-41d4-a716-446655440010".to_string(), ), ], "created_at".to_string(), ) .date_partition_column(None) .description(None) .measures(vec![ ExperimentsCreateMetricSQLModelV2RequestDataAttributesMeasuresItems::new( "revenue".to_string(), ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType::FLOAT, ) .description(None) .name(None), ]) .properties(vec![ExperimentsMetricSQLModelPropertyInput::new( "item_type".to_string(), ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType::STRING, "item_type".to_string(), ) .description(None)]), ExperimentsUpdateMetricSQLModelV2RequestDataType::METRIC_SQL_MODELS, ), ); let configuration = datadog::Configuration::new(); let api = ExperimentsAPI::with_config(configuration); let resp = api .update_metric_sql_model( Uuid::parse_str("550e8400-e29b-41d4-a716-446655440000").expect("invalid UUID"), body, ) .await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" cargo run {% /tab %}