Create subject type
https://api.datadoghq.com/api/v2/experiments/subject-typeshttps://api.us3.datadoghq.com/api/v2/experiments/subject-typeshttps://api.us5.datadoghq.com/api/v2/experiments/subject-typeshttps://api.datadoghq.eu/api/v2/experiments/subject-typeshttps://api.ap1.datadoghq.com/api/v2/experiments/subject-typeshttps://api.ap2.datadoghq.com/api/v2/experiments/subject-typeshttps://api.uk1.datadoghq.com/api/v2/experiments/subject-typeshttps://api.ddog-gov.com/api/v2/experiments/subject-typeshttps://api.us2.ddog-gov.com/api/v2/experiments/subject-typesDescripción general
Create a subject type for the organization.
OAuth apps require the product_analytics_settings_write authorization scope to access this endpoint.
Solicitud
Body Data (required)
data [required]Subject type resource to create.
attributes [required]Name and data field mappings for the new subject type.
migration_metadataMetadata associated with migration of this resource.
name [required]Display name of the subject type.
product_analytics_attributeProduct Analytics attribute used to identify subjects of this type.
warehouse_column_namesWarehouse column names associated with this subject type.
idOptional JSON:API resource identifier field.
type [required]Subject types resource type.
subject-typessubject-types{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}Respuesta
Created
Response containing the subject type.
data [required]JSON:API resource containing the subject type identity and fields.
attributesDetails of the subject type.
created_atTime when this resource was created.
experiment_countNumber of experiments that reference this resource.
exposure_source_countNumber of exposure sources that reference this subject type.
is_defaultWhether this is the organization's default subject type.
metric_sql_model_countNumber of metric SQL models that reference this subject type.
migration_metadataMetadata retained for resources imported from another system.
nameDisplay name of the subject type.
product_analytics_attributeProduct Analytics attribute used to identify subjects of this type.
protocol_countNumber of protocols that reference this subject type.
updated_atTime when this resource was last updated.
warehouse_column_namesWarehouse columns that identify subjects of this type.
id [required]ID of the subject type.
type [required]Subject types resource type.
subject-typessubject-types{
"data": {
"attributes": {
"created_at": "2024-01-01T12:00:00Z",
"is_default": true,
"name": "User",
"product_analytics_attribute": "@usr.id",
"updated_at": "2024-01-01T12:00:00Z",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"id": "550e8400-e29b-41d4-a716-446655440010",
"type": "subject-types"
}
}Malformed body, or validation failure on name, product_analytics_attribute, or warehouse_column_names.
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort 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.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort 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_settings_write permission.
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort 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.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}Ejemplo de código
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/experiments/subject-types" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"name": "User",
"product_analytics_attribute": "@usr.id",
"warehouse_column_names": [
"user_id",
"customer_id"
]
},
"type": "subject-types"
}
}
EOF// Create subject type returns "Created" 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"
)
func main() {
body := datadogV2.ExperimentsCreateSubjectTypeV2Request{
Data: datadogV2.ExperimentsCreateSubjectTypeV2RequestData{
Type: datadogV2.EXPERIMENTSSUBJECTTYPEV2DTODATATYPE_SUBJECT_TYPES,
Attributes: datadogV2.ExperimentsCreateSubjectTypeV2RequestDataAttributes{
Name: "ex-14bb9543f523edde",
ProductAnalyticsAttribute: datadog.PtrString("@account.id"),
WarehouseColumnNames: []string{
"account_id",
},
},
},
}
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.CreateSubjectType(ctx, body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `ExperimentsApi.CreateSubjectType`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.CreateSubjectType`:\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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// Create subject type returns "Created" 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.ExperimentsCreateSubjectTypeV2Request;
import com.datadog.api.client.v2.model.ExperimentsCreateSubjectTypeV2RequestData;
import com.datadog.api.client.v2.model.ExperimentsCreateSubjectTypeV2RequestDataAttributes;
import com.datadog.api.client.v2.model.ExperimentsSubjectTypeV2DTO;
import com.datadog.api.client.v2.model.ExperimentsSubjectTypeV2DTODataType;
import java.util.Collections;
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);
ExperimentsCreateSubjectTypeV2Request body =
new ExperimentsCreateSubjectTypeV2Request()
.data(
new ExperimentsCreateSubjectTypeV2RequestData()
.type(ExperimentsSubjectTypeV2DTODataType.SUBJECT_TYPES)
.attributes(
new ExperimentsCreateSubjectTypeV2RequestDataAttributes()
.name("ex-14bb9543f523edde")
.productAnalyticsAttribute("@account.id")
.warehouseColumnNames(Collections.singletonList("account_id"))));
try {
ExperimentsSubjectTypeV2DTO result = apiInstance.createSubjectType(body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling ExperimentsApi#createSubjectType");
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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
Create subject type returns "Created" 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_subject_type_v2_request import ExperimentsCreateSubjectTypeV2Request
from datadog_api_client.v2.model.experiments_create_subject_type_v2_request_data import (
ExperimentsCreateSubjectTypeV2RequestData,
)
from datadog_api_client.v2.model.experiments_create_subject_type_v2_request_data_attributes import (
ExperimentsCreateSubjectTypeV2RequestDataAttributes,
)
from datadog_api_client.v2.model.experiments_subject_type_v2_dto_data_type import ExperimentsSubjectTypeV2DTODataType
body = ExperimentsCreateSubjectTypeV2Request(
data=ExperimentsCreateSubjectTypeV2RequestData(
type=ExperimentsSubjectTypeV2DTODataType.SUBJECT_TYPES,
attributes=ExperimentsCreateSubjectTypeV2RequestDataAttributes(
name="ex-14bb9543f523edde",
product_analytics_attribute="@account.id",
warehouse_column_names=[
"account_id",
],
),
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
api_instance = ExperimentsApi(api_client)
response = api_instance.create_subject_type(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.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# Create subject type returns "Created" 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::ExperimentsCreateSubjectTypeV2Request.new({
data: DatadogAPIClient::V2::ExperimentsCreateSubjectTypeV2RequestData.new({
type: DatadogAPIClient::V2::ExperimentsSubjectTypeV2DTODataType::SUBJECT_TYPES,
attributes: DatadogAPIClient::V2::ExperimentsCreateSubjectTypeV2RequestDataAttributes.new({
name: "ex-14bb9543f523edde",
product_analytics_attribute: "@account.id",
warehouse_column_names: [
"account_id",
],
}),
}),
})
p api_instance.create_subject_type(body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// Create subject type returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI;
use datadog_api_client::datadogV2::model::ExperimentsCreateSubjectTypeV2Request;
use datadog_api_client::datadogV2::model::ExperimentsCreateSubjectTypeV2RequestData;
use datadog_api_client::datadogV2::model::ExperimentsCreateSubjectTypeV2RequestDataAttributes;
use datadog_api_client::datadogV2::model::ExperimentsSubjectTypeV2DTODataType;
#[tokio::main]
async fn main() {
let body =
ExperimentsCreateSubjectTypeV2Request::new(ExperimentsCreateSubjectTypeV2RequestData::new(
ExperimentsCreateSubjectTypeV2RequestDataAttributes::new(
"ex-14bb9543f523edde".to_string(),
)
.product_analytics_attribute("@account.id".to_string())
.warehouse_column_names(vec!["account_id".to_string()]),
ExperimentsSubjectTypeV2DTODataType::SUBJECT_TYPES,
));
let configuration = datadog::Configuration::new();
let api = ExperimentsAPI::with_config(configuration);
let resp = api.create_subject_type(body).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.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run