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Update exposure SQL model

PUT https://api.ap1.datadoghq.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.ap2.datadoghq.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.datadoghq.eu/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.ddog-gov.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.us2.ddog-gov.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.uk1.datadoghq.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.datadoghq.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.us3.datadoghq.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}https://api.us5.datadoghq.com/api/v2/experiments/exposure-sql-models/{exposure_sql_model_id}

Overview

Replace an exposure SQL model. This is a full replacement and is destructive: any subject type or property not present in the body is deleted, and properties are matched on name, column_name and column_type together, so changing one of those replaces the property rather than editing it. Send the complete set you want to keep. Anything removed is listed under meta.removed_subject_type_ids and meta.removed_property_names in the response. The warehouse connection is not settable and is left as stored. This endpoint requires the product_analytics_warehouse_model_write permission.

OAuth apps require the product_analytics_warehouse_model_write authorization scope to access this endpoint.

Arguments

Path Parameters

Name

Type

Description

exposure_sql_model_id [required]

string

The UUID of the exposure SQL model.

Query Strings

Name

Type

Description

include

array

Optional fields to include. Repeat this parameter to request several fields. counts adds experiment_count to the updated model.

Request

Body Data (required)

Expand All

Field

Type

Description

data [required]

object

Exposure SQL model resource to create.

attributes [required]

object

Complete column mappings and query used to replace the exposure SQL model.

date_partition_column

string

SQL column used to partition the source data by date.

experiment_column [required]

string

SQL column that identifies the experiment for each exposure.

migration_metadata

Metadata retained for resources imported from another system.

name [required]

string

Display name of the exposure SQL model.

properties

[object]

Property columns exposed by the SQL model.

column_name [required]

string

Name of the SQL result column that supplies this property.

column_type

enum

Data type of a column in the SQL model. Allowed enum values: STRING,INTEGER,FLOAT,BOOLEAN,DATE,TIMESTAMP

description

string

Optional text that explains what this property represents.

migration_metadata

Opaque metadata preserved when this property is migrated.

name [required]

string

Name used to identify the property in the model.

sql [required]

string

SQL query that produces the model's source data.

subject_types [required]

[object]

Subject types mapped to columns in the SQL model.

column_name [required]

string

SQL result column that contains the subject identifier.

subject_type_id [required]

string

Identifier of the subject type mapped to this column.

timestamp_column [required]

string

SQL column that supplies the event timestamp.

variant_column [required]

string

SQL column that identifies the variant for each exposure.

id

string

Optional JSON:API resource identifier field.

type [required]

enum

Exposure SQL models resource type. Allowed enum values: exposure-sql-models

default: exposure-sql-models

{
  "data": {
    "attributes": {
      "date_partition_column": null,
      "experiment_column": "experiment_id",
      "migration_metadata": "undefined",
      "name": "Exposure events",
      "properties": [
        {
          "column_name": "country",
          "column_type": "STRING",
          "description": null,
          "migration_metadata": "undefined",
          "name": "country"
        }
      ],
      "sql": "SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures",
      "subject_types": [
        {
          "column_name": "user_id",
          "subject_type_id": "550e8400-e29b-41d4-a716-446655440010"
        }
      ],
      "timestamp_column": "exposed_at",
      "variant_column": "variant"
    },
    "id": "string",
    "type": "exposure-sql-models"
  }
}

Response

OK

Updated exposure SQL model and its removed entries.

Expand All

Field

Type

Description

data [required]

object

Exposure SQL model resource with its identifier and configuration.

attributes

object

Query and column mappings used to read experiment assignment data.

archived_at

date-time

Time when the exposure SQL model was archived.

created_at

date-time

Time when the exposure SQL model was created.

date_partition_column

string

Column used to identify date partitions in the exposure data.

experiment_column

string

SQL result column that contains the experiment key.

experiment_count

int64

Number of experiments associated with the exposure SQL model.

migration_metadata

Metadata associated with migration of this resource.

name

string

Display name of the exposure SQL model.

properties

[object]

Property columns available for filtering or splitting exposure data.

column_name

string

SQL result column that contains this property.

column_type

string

Data type of the property column.

description

string

Description of the exposure property.

id

string

Identifier of the exposure property.

migration_metadata

Metadata associated with migration of this resource.

name

string

Display name of the exposure property.

pipeline_column_suffix

string

Suffix used for this property column in the analysis pipeline.

sql

string

SQL query that supplies the experiment assignment data.

subject_types

[object]

Mappings between subject types and their identifier columns.

column_name [required]

string

SQL result column that contains the subject identifier.

subject_type_id [required]

string

Identifier of the subject type mapped to this column.

timestamp_column

string

SQL result column that contains the assignment timestamp.

updated_at

date-time

Time when the exposure SQL model was last updated.

variant_column

string

SQL result column that contains the assigned variant.

id [required]

uuid

Identifier of the exposure SQL model.

type [required]

enum

Exposure SQL models resource type. Allowed enum values: exposure-sql-models

default: exposure-sql-models

meta

object

Removed model entries. Present only when the update removes an entry.

removed_property_names

[string]

Property names removed from the model.

removed_subject_type_ids

[string]

Subject type IDs removed from the model.

{
  "data": {
    "attributes": {
      "created_at": "2024-01-01T12:00:00Z",
      "experiment_column": "experiment_id",
      "name": "Exposure events",
      "properties": [
        {
          "column_name": "country",
          "column_type": "STRING",
          "id": "550e8400-e29b-41d4-a716-446655440031",
          "name": "country",
          "pipeline_column_suffix": "cty001"
        }
      ],
      "sql": "SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures",
      "subject_types": [
        {
          "column_name": "user_id",
          "subject_type_id": "550e8400-e29b-41d4-a716-446655440010"
        }
      ],
      "timestamp_column": "exposed_at",
      "updated_at": "2024-01-01T12:00:00Z",
      "variant_column": "variant"
    },
    "id": "550e8400-e29b-41d4-a716-446655440030",
    "type": "exposure-sql-models"
  }
}

Malformed exposure SQL model ID, malformed body, validation failure, or the SQL was rejected by the warehouse validator.

API error response.

Expand All

Field

Type

Description

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

meta

object

Non-standard meta-information about the error

source

object

References to the source of the error.

header

string

A string indicating the name of a single request header which caused the error.

parameter

string

A string indicating which URI query parameter caused the error.

pointer

string

A JSON pointer to the value in the request document that caused the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Missing or invalid authentication.

API error response.

Expand All

Field

Type

Description

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

meta

object

Non-standard meta-information about the error

source

object

References to the source of the error.

header

string

A string indicating the name of a single request header which caused the error.

parameter

string

A string indicating which URI query parameter caused the error.

pointer

string

A JSON pointer to the value in the request document that caused the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Authenticated caller lacks the product_analytics_warehouse_model_write permission.

API error response.

Expand All

Field

Type

Description

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

meta

object

Non-standard meta-information about the error

source

object

References to the source of the error.

header

string

A string indicating the name of a single request header which caused the error.

parameter

string

A string indicating which URI query parameter caused the error.

pointer

string

A JSON pointer to the value in the request document that caused the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

No exposure SQL model with this ID exists for the organization.

API error response.

Expand All

Field

Type

Description

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

meta

object

Non-standard meta-information about the error

source

object

References to the source of the error.

header

string

A string indicating the name of a single request header which caused the error.

parameter

string

A string indicating which URI query parameter caused the error.

pointer

string

A JSON pointer to the value in the request document that caused the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

The write collided with an existing record for the organization.

API error response.

Expand All

Field

Type

Description

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

meta

object

Non-standard meta-information about the error

source

object

References to the source of the error.

header

string

A string indicating the name of a single request header which caused the error.

parameter

string

A string indicating which URI query parameter caused the error.

pointer

string

A JSON pointer to the value in the request document that caused the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Request body sent with a media type other than application/json or application/vnd.api+json.

API error response.

Expand All

Field

Type

Description

errors [required]

[object]

A list of errors.

detail

string

A human-readable explanation specific to this occurrence of the error.

meta

object

Non-standard meta-information about the error

source

object

References to the source of the error.

header

string

A string indicating the name of a single request header which caused the error.

parameter

string

A string indicating which URI query parameter caused the error.

pointer

string

A JSON pointer to the value in the request document that caused the error.

status

string

Status code of the response.

title

string

Short human-readable summary of the error.

{
  "errors": [
    {
      "detail": "Missing required attribute in body",
      "meta": {},
      "source": {
        "header": "Authorization",
        "parameter": "limit",
        "pointer": "/data/attributes/title"
      },
      "status": "400",
      "title": "Bad Request"
    }
  ]
}

Too many requests

API error response.

Expand All

Field

Type

Description

errors [required]

[string]

A list of errors.

{
  "errors": [
    "Bad Request"
  ]
}

Code Example

                  ## default
# 

# Path parameters
export exposure_sql_model_id="550e8400-e29b-41d4-a716-446655440000"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

# Curl command
curl -X PUT "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.us2.ddog-gov.com"https://api.uk1.datadoghq.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/experiments/exposure-sql-models/${exposure_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, "experiment_column": "experiment_id", "name": "Exposure events", "sql": "SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures", "subject_types": [ { "column_name": "user_id", "subject_type_id": "550e8400-e29b-41d4-a716-446655440010" } ], "timestamp_column": "exposed_at", "variant_column": "variant" }, "type": "exposure-sql-models" } } EOF
"""
Update exposure 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 import (
    ExperimentsCreateExposureSQLModelV2Request,
)
from datadog_api_client.v2.model.experiments_create_exposure_sql_model_v2_request_data import (
    ExperimentsCreateExposureSQLModelV2RequestData,
)
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_sql_model_property_input import ExperimentsSQLModelPropertyInput
from datadog_api_client.v2.model.experiments_update_exposure_sql_model_v2_request_data_attributes import (
    ExperimentsUpdateExposureSQLModelV2RequestDataAttributes,
)
from datadog_api_client.v2.model.experiments_update_exposure_sql_model_v2_request_data_type import (
    ExperimentsUpdateExposureSQLModelV2RequestDataType,
)
from uuid import UUID

body = ExperimentsCreateExposureSQLModelV2Request(
    data=ExperimentsCreateExposureSQLModelV2RequestData(
        attributes=ExperimentsUpdateExposureSQLModelV2RequestDataAttributes(
            date_partition_column=None,
            experiment_column="experiment_id",
            name="Exposure events",
            properties=[
                ExperimentsSQLModelPropertyInput(
                    column_name="country",
                    column_type=ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType.STRING,
                    description=None,
                    name="country",
                ),
            ],
            sql="SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures",
            subject_types=[
                ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems(
                    column_name="user_id",
                    subject_type_id="550e8400-e29b-41d4-a716-446655440010",
                ),
            ],
            timestamp_column="exposed_at",
            variant_column="variant",
        ),
        type=ExperimentsUpdateExposureSQLModelV2RequestDataType.EXPOSURE_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_exposure_sql_model(
        exposure_sql_model_id=UUID("550e8400-e29b-41d4-a716-446655440000"), body=body
    )

    print(response)

Instructions

First install the library and its dependencies and then save the example to example.py and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"
# Update exposure 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::ExperimentsCreateExposureSQLModelV2Request.new({
  data: DatadogAPIClient::V2::ExperimentsCreateExposureSQLModelV2RequestData.new({
    attributes: DatadogAPIClient::V2::ExperimentsUpdateExposureSQLModelV2RequestDataAttributes.new({
      date_partition_column: nil,
      experiment_column: "experiment_id",
      name: "Exposure events",
      properties: [
        DatadogAPIClient::V2::ExperimentsSQLModelPropertyInput.new({
          column_name: "country",
          column_type: DatadogAPIClient::V2::ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType::STRING,
          description: nil,
          name: "country",
        }),
      ],
      sql: "SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures",
      subject_types: [
        DatadogAPIClient::V2::ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems.new({
          column_name: "user_id",
          subject_type_id: "550e8400-e29b-41d4-a716-446655440010",
        }),
      ],
      timestamp_column: "exposed_at",
      variant_column: "variant",
    }),
    type: DatadogAPIClient::V2::ExperimentsUpdateExposureSQLModelV2RequestDataType::EXPOSURE_SQL_MODELS,
  }),
})
p api_instance.update_exposure_sql_model("550e8400-e29b-41d4-a716-446655440000", body)

Instructions

First install the library and its dependencies and then save the example to example.rb and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"
// Update exposure 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.ExperimentsCreateExposureSQLModelV2Request{
		Data: datadogV2.ExperimentsCreateExposureSQLModelV2RequestData{
			Attributes: datadogV2.ExperimentsUpdateExposureSQLModelV2RequestDataAttributes{
				DatePartitionColumn: *datadog.NewNullableString(nil),
				ExperimentColumn:    "experiment_id",
				Name:                "Exposure events",
				Properties: []datadogV2.ExperimentsSQLModelPropertyInput{
					{
						ColumnName:  "country",
						ColumnType:  datadogV2.EXPERIMENTSCREATEEXPOSURESQLMODELV2REQUESTDATAATTRIBUTESITEMSCOLUMNTYPE_STRING.Ptr(),
						Description: *datadog.NewNullableString(nil),
						Name:        "country",
					},
				},
				Sql: "SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures",
				SubjectTypes: []datadogV2.ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems{
					{
						ColumnName:    "user_id",
						SubjectTypeId: "550e8400-e29b-41d4-a716-446655440010",
					},
				},
				TimestampColumn: "exposed_at",
				VariantColumn:   "variant",
			},
			Type: datadogV2.EXPERIMENTSUPDATEEXPOSURESQLMODELV2REQUESTDATATYPE_EXPOSURE_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.UpdateExposureSQLModel(ctx, uuid.MustParse("550e8400-e29b-41d4-a716-446655440000"), body, *datadogV2.NewUpdateExposureSQLModelOptionalParameters())

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `ExperimentsApi.UpdateExposureSQLModel`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.UpdateExposureSQLModel`:\n%s\n", responseContent)
}

Instructions

First install the library and its dependencies and then save the example to main.go and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"
// Update exposure 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.ExperimentsCreateExposureSQLModelV2Request;
import com.datadog.api.client.v2.model.ExperimentsCreateExposureSQLModelV2RequestData;
import com.datadog.api.client.v2.model.ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType;
import com.datadog.api.client.v2.model.ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems;
import com.datadog.api.client.v2.model.ExperimentsSQLModelPropertyInput;
import com.datadog.api.client.v2.model.ExperimentsUpdateExposureSQLModelV2RequestDataAttributes;
import com.datadog.api.client.v2.model.ExperimentsUpdateExposureSQLModelV2RequestDataType;
import com.datadog.api.client.v2.model.ExperimentsUpdateExposureSQLModelV2Response;
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);

    ExperimentsCreateExposureSQLModelV2Request body =
        new ExperimentsCreateExposureSQLModelV2Request()
            .data(
                new ExperimentsCreateExposureSQLModelV2RequestData()
                    .attributes(
                        new ExperimentsUpdateExposureSQLModelV2RequestDataAttributes()
                            .datePartitionColumn(null)
                            .experimentColumn("experiment_id")
                            .name("Exposure events")
                            .properties(
                                Collections.singletonList(
                                    new ExperimentsSQLModelPropertyInput()
                                        .columnName("country")
                                        .columnType(
                                            ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType
                                                .STRING)
                                        .description(null)
                                        .name("country")))
                            .sql(
                                "SELECT user_id, experiment_id, variant, exposed_at, country FROM"
                                    + " analytics.exposures")
                            .subjectTypes(
                                Collections.singletonList(
                                    new ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems()
                                        .columnName("user_id")
                                        .subjectTypeId("550e8400-e29b-41d4-a716-446655440010")))
                            .timestampColumn("exposed_at")
                            .variantColumn("variant"))
                    .type(ExperimentsUpdateExposureSQLModelV2RequestDataType.EXPOSURE_SQL_MODELS));

    try {
      ExperimentsUpdateExposureSQLModelV2Response result =
          apiInstance.updateExposureSQLModel(
              UUID.fromString("550e8400-e29b-41d4-a716-446655440000"), body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling ExperimentsApi#updateExposureSQLModel");
      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 and then save the example to Example.java and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"
// Update exposure SQL model returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI;
use datadog_api_client::datadogV2::api_experiments::UpdateExposureSQLModelOptionalParams;
use datadog_api_client::datadogV2::model::ExperimentsCreateExposureSQLModelV2Request;
use datadog_api_client::datadogV2::model::ExperimentsCreateExposureSQLModelV2RequestData;
use datadog_api_client::datadogV2::model::ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType;
use datadog_api_client::datadogV2::model::ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems;
use datadog_api_client::datadogV2::model::ExperimentsSQLModelPropertyInput;
use datadog_api_client::datadogV2::model::ExperimentsUpdateExposureSQLModelV2RequestDataAttributes;
use datadog_api_client::datadogV2::model::ExperimentsUpdateExposureSQLModelV2RequestDataType;
use uuid::Uuid;

#[tokio::main]
async fn main() {
    let body =
        ExperimentsCreateExposureSQLModelV2Request::new(
            ExperimentsCreateExposureSQLModelV2RequestData::new(
                ExperimentsUpdateExposureSQLModelV2RequestDataAttributes::new(
                    "experiment_id".to_string(),
                    "Exposure events".to_string(),
                    "SELECT user_id, experiment_id, variant, exposed_at, country FROM analytics.exposures".to_string(),
                    vec![
                        ExperimentsCreateExposureSQLModelV2RequestDataAttributesSubjectTypesItems::new(
                            "user_id".to_string(),
                            "550e8400-e29b-41d4-a716-446655440010".to_string(),
                        )
                    ],
                    "exposed_at".to_string(),
                    "variant".to_string(),
                )
                    .date_partition_column(None)
                    .properties(
                        vec![
                            ExperimentsSQLModelPropertyInput::new("country".to_string(), "country".to_string())
                                .column_type(
                                    ExperimentsCreateExposureSQLModelV2RequestDataAttributesItemsColumnType::STRING,
                                )
                                .description(None)
                        ],
                    ),
                ExperimentsUpdateExposureSQLModelV2RequestDataType::EXPOSURE_SQL_MODELS,
            ),
        );
    let configuration = datadog::Configuration::new();
    let api = ExperimentsAPI::with_config(configuration);
    let resp = api
        .update_exposure_sql_model(
            Uuid::parse_str("550e8400-e29b-41d4-a716-446655440000").expect("invalid UUID"),
            body,
            UpdateExposureSQLModelOptionalParams::default(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Instructions

First install the library and its dependencies and then save the example to src/main.rs and run following commands:

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comuk1.datadoghq.comddog-gov.comus2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run