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Datasets

Data Access Controls in Datadog is a feature that allows administrators and access managers to regulate access to sensitive data. By defining Restricted Datasets, you can ensure that only specific teams or roles can view certain types of telemetry (for example, logs, traces, metrics, and RUM data).

Create a dataset

POST https://api.ap1.datadoghq.com/api/v2/datasetshttps://api.ap2.datadoghq.com/api/v2/datasetshttps://api.datadoghq.eu/api/v2/datasetshttps://api.ddog-gov.com/api/v2/datasetshttps://api.datadoghq.com/api/v2/datasetshttps://api.us3.datadoghq.com/api/v2/datasetshttps://api.us5.datadoghq.com/api/v2/datasets

개요

Create a dataset with the configurations in the request. This endpoint requires the user_access_manage permission.

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

요청

Body Data (required)

Dataset payload

Expand All

항목

유형

설명

data [required]

object

Dataset object.

attributes [required]

object

Dataset metadata and configuration(s).

created_at

date-time

Timestamp when the dataset was created.

created_by

uuid

Unique ID of the user who created the dataset.

name [required]

string

Name of the dataset.

principals [required]

[string]

List of access principals, formatted as principal_type:id. Principal can be 'team' or 'role'.

product_filters [required]

[object]

List of product-specific filters.

filters [required]

[string]

Defines the list of tag-based filters used to restrict access to telemetry data for a specific product. These filters act as access control rules. Each filter must follow the tag query syntax used by Datadog (such as @tag.key:value), and only one tag or attribute may be used to define the access strategy per telemetry type.

product [required]

string

Name of the product the dataset is for. Possible values are 'apm', 'rum', 'synthetics', 'metrics', 'logs', 'sd_repoinfo', 'error_tracking', 'cloud_cost', and 'ml_obs'.

id

string

Unique identifier for the dataset.

type [required]

string

Resource type, always "dataset".

{
  "data": {
    "attributes": {
      "created_at": "2019-09-19T10:00:00.000Z",
      "created_by": "string",
      "name": "Security Audit Dataset",
      "principals": [
        "role:86245fce-0a4e-11f0-92bd-da7ad0900002"
      ],
      "product_filters": [
        {
          "filters": [
            "@application.id:ABCD"
          ],
          "product": "logs"
        }
      ]
    },
    "id": "123e4567-e89b-12d3-a456-426614174000",
    "type": "dataset"
  }
}

응답

OK

Response containing a single dataset object.

Expand All

항목

유형

설명

data [required]

object

Dataset object.

attributes [required]

object

Dataset metadata and configuration(s).

created_at

date-time

Timestamp when the dataset was created.

created_by

uuid

Unique ID of the user who created the dataset.

name [required]

string

Name of the dataset.

principals [required]

[string]

List of access principals, formatted as principal_type:id. Principal can be 'team' or 'role'.

product_filters [required]

[object]

List of product-specific filters.

filters [required]

[string]

Defines the list of tag-based filters used to restrict access to telemetry data for a specific product. These filters act as access control rules. Each filter must follow the tag query syntax used by Datadog (such as @tag.key:value), and only one tag or attribute may be used to define the access strategy per telemetry type.

product [required]

string

Name of the product the dataset is for. Possible values are 'apm', 'rum', 'synthetics', 'metrics', 'logs', 'sd_repoinfo', 'error_tracking', 'cloud_cost', and 'ml_obs'.

id

string

Unique identifier for the dataset.

type [required]

string

Resource type, always "dataset".

{
  "data": {
    "attributes": {
      "created_at": "2019-09-19T10:00:00.000Z",
      "created_by": "string",
      "name": "Security Audit Dataset",
      "principals": [
        "role:86245fce-0a4e-11f0-92bd-da7ad0900002"
      ],
      "product_filters": [
        {
          "filters": [
            "@application.id:ABCD"
          ],
          "product": "logs"
        }
      ]
    },
    "id": "123e4567-e89b-12d3-a456-426614174000",
    "type": "dataset"
  }
}

Bad Request

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Not Authorized

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Conflict

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

코드 사례

                  # Curl command
curl -X POST "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/datasets" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \
-d @- << EOF
{
  "data": {
    "attributes": {
      "name": "Security Audit Dataset",
      "principals": [
        "role:86245fce-0a4e-11f0-92bd-da7ad0900002"
      ],
      "product_filters": [
        {
          "filters": [
            "@application.id:ABCD"
          ],
          "product": "logs"
        }
      ]
    },
    "type": "dataset"
  }
}
EOF

                
"""
Create a dataset returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.datasets_api import DatasetsApi
from datadog_api_client.v2.model.dataset import Dataset
from datadog_api_client.v2.model.dataset_attributes import DatasetAttributes
from datadog_api_client.v2.model.dataset_create_request import DatasetCreateRequest
from datadog_api_client.v2.model.filters_per_product import FiltersPerProduct

body = DatasetCreateRequest(
    data=Dataset(
        attributes=DatasetAttributes(
            created_at=None,
            name="Security Audit Dataset",
            principals=[
                "role:86245fce-0a4e-11f0-92bd-da7ad0900002",
            ],
            product_filters=[
                FiltersPerProduct(
                    filters=[
                        "@application.id:ABCD",
                    ],
                    product="logs",
                ),
            ],
        ),
        id="123e4567-e89b-12d3-a456-426614174000",
        type="dataset",
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DatasetsApi(api_client)
    response = api_instance.create_dataset(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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Create a dataset returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::DatasetsAPI.new

body = DatadogAPIClient::V2::DatasetCreateRequest.new({
  data: DatadogAPIClient::V2::Dataset.new({
    attributes: DatadogAPIClient::V2::DatasetAttributes.new({
      created_at: nil,
      name: "Security Audit Dataset",
      principals: [
        "role:86245fce-0a4e-11f0-92bd-da7ad0900002",
      ],
      product_filters: [
        DatadogAPIClient::V2::FiltersPerProduct.new({
          filters: [
            "@application.id:ABCD",
          ],
          product: "logs",
        }),
      ],
    }),
    id: "123e4567-e89b-12d3-a456-426614174000",
    type: "dataset",
  }),
})
p api_instance.create_dataset(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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Create a dataset 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"
)

func main() {
	body := datadogV2.DatasetCreateRequest{
		Data: datadogV2.Dataset{
			Attributes: datadogV2.DatasetAttributes{
				CreatedAt: *datadog.NewNullableTime(nil),
				Name:      "Security Audit Dataset",
				Principals: []string{
					"role:86245fce-0a4e-11f0-92bd-da7ad0900002",
				},
				ProductFilters: []datadogV2.FiltersPerProduct{
					{
						Filters: []string{
							"@application.id:ABCD",
						},
						Product: "logs",
					},
				},
			},
			Id:   datadog.PtrString("123e4567-e89b-12d3-a456-426614174000"),
			Type: "dataset",
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewDatasetsApi(apiClient)
	resp, r, err := api.CreateDataset(ctx, body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DatasetsApi.CreateDataset`:\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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Create a dataset returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatasetsApi;
import com.datadog.api.client.v2.model.Dataset;
import com.datadog.api.client.v2.model.DatasetAttributes;
import com.datadog.api.client.v2.model.DatasetCreateRequest;
import com.datadog.api.client.v2.model.DatasetResponseSingle;
import com.datadog.api.client.v2.model.FiltersPerProduct;
import java.util.Collections;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    DatasetsApi apiInstance = new DatasetsApi(defaultClient);

    DatasetCreateRequest body =
        new DatasetCreateRequest()
            .data(
                new Dataset()
                    .attributes(
                        new DatasetAttributes()
                            .createdAt(null)
                            .name("Security Audit Dataset")
                            .principals(
                                Collections.singletonList(
                                    "role:86245fce-0a4e-11f0-92bd-da7ad0900002"))
                            .productFilters(
                                Collections.singletonList(
                                    new FiltersPerProduct()
                                        .filters(Collections.singletonList("@application.id:ABCD"))
                                        .product("logs"))))
                    .id("123e4567-e89b-12d3-a456-426614174000")
                    .type("dataset"));

    try {
      DatasetResponseSingle result = apiInstance.createDataset(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling DatasetsApi#createDataset");
      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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
// Create a dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_datasets::DatasetsAPI;
use datadog_api_client::datadogV2::model::Dataset;
use datadog_api_client::datadogV2::model::DatasetAttributes;
use datadog_api_client::datadogV2::model::DatasetCreateRequest;
use datadog_api_client::datadogV2::model::FiltersPerProduct;

#[tokio::main]
async fn main() {
    let body = DatasetCreateRequest::new(
        Dataset::new(
            DatasetAttributes::new(
                "Security Audit Dataset".to_string(),
                vec!["role:86245fce-0a4e-11f0-92bd-da7ad0900002".to_string()],
                vec![FiltersPerProduct::new(
                    vec!["@application.id:ABCD".to_string()],
                    "logs".to_string(),
                )],
            )
            .created_at(None),
            "dataset".to_string(),
        )
        .id("123e4567-e89b-12d3-a456-426614174000".to_string()),
    );
    let configuration = datadog::Configuration::new();
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.create_dataset(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.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Create a dataset returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.DatasetsApi(configuration);

const params: v2.DatasetsApiCreateDatasetRequest = {
  body: {
    data: {
      attributes: {
        createdAt: undefined,
        name: "Security Audit Dataset",
        principals: ["role:86245fce-0a4e-11f0-92bd-da7ad0900002"],
        productFilters: [
          {
            filters: ["@application.id:ABCD"],
            product: "logs",
          },
        ],
      },
      id: "123e4567-e89b-12d3-a456-426614174000",
      type: "dataset",
    },
  },
};

apiInstance
  .createDataset(params)
  .then((data: v2.DatasetResponseSingle) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get a single dataset by ID

GET https://api.ap1.datadoghq.com/api/v2/datasets/{dataset_id}https://api.ap2.datadoghq.com/api/v2/datasets/{dataset_id}https://api.datadoghq.eu/api/v2/datasets/{dataset_id}https://api.ddog-gov.com/api/v2/datasets/{dataset_id}https://api.datadoghq.com/api/v2/datasets/{dataset_id}https://api.us3.datadoghq.com/api/v2/datasets/{dataset_id}https://api.us5.datadoghq.com/api/v2/datasets/{dataset_id}

개요

Retrieves the dataset associated with the ID.

인수

경로 파라미터

이름

유형

설명

dataset_id [required]

string

The ID of a defined dataset.

응답

OK

Response containing a single dataset object.

Expand All

항목

유형

설명

data [required]

object

Dataset object.

attributes [required]

object

Dataset metadata and configuration(s).

created_at

date-time

Timestamp when the dataset was created.

created_by

uuid

Unique ID of the user who created the dataset.

name [required]

string

Name of the dataset.

principals [required]

[string]

List of access principals, formatted as principal_type:id. Principal can be 'team' or 'role'.

product_filters [required]

[object]

List of product-specific filters.

filters [required]

[string]

Defines the list of tag-based filters used to restrict access to telemetry data for a specific product. These filters act as access control rules. Each filter must follow the tag query syntax used by Datadog (such as @tag.key:value), and only one tag or attribute may be used to define the access strategy per telemetry type.

product [required]

string

Name of the product the dataset is for. Possible values are 'apm', 'rum', 'synthetics', 'metrics', 'logs', 'sd_repoinfo', 'error_tracking', 'cloud_cost', and 'ml_obs'.

id

string

Unique identifier for the dataset.

type [required]

string

Resource type, always "dataset".

{
  "data": {
    "attributes": {
      "created_at": "2019-09-19T10:00:00.000Z",
      "created_by": "string",
      "name": "Security Audit Dataset",
      "principals": [
        "role:86245fce-0a4e-11f0-92bd-da7ad0900002"
      ],
      "product_filters": [
        {
          "filters": [
            "@application.id:ABCD"
          ],
          "product": "logs"
        }
      ]
    },
    "id": "123e4567-e89b-12d3-a456-426614174000",
    "type": "dataset"
  }
}

Bad Request

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Not Authorized

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Not Found

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

코드 사례

                  # Path parameters
export dataset_id="0879ce27-29a1-481f-a12e-bc2a48ec9ae1"
# Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/datasets/${dataset_id}" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get a single dataset by ID returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.datasets_api import DatasetsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DatasetsApi(api_client)
    response = api_instance.get_dataset(
        dataset_id="dataset_id",
    )

    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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get a single dataset by ID returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::DatasetsAPI.new
p api_instance.get_dataset("dataset_id")

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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get a single dataset by ID 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"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewDatasetsApi(apiClient)
	resp, r, err := api.GetDataset(ctx, "dataset_id")

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DatasetsApi.GetDataset`:\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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get a single dataset by ID returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatasetsApi;
import com.datadog.api.client.v2.model.DatasetResponseSingle;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    DatasetsApi apiInstance = new DatasetsApi(defaultClient);

    try {
      DatasetResponseSingle result = apiInstance.getDataset("dataset_id");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling DatasetsApi#getDataset");
      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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
// Get a single dataset by ID returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_datasets::DatasetsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.get_dataset("dataset_id".to_string()).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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Get a single dataset by ID returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.DatasetsApi(configuration);

const params: v2.DatasetsApiGetDatasetRequest = {
  datasetId: "dataset_id",
};

apiInstance
  .getDataset(params)
  .then((data: v2.DatasetResponseSingle) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Get all datasets

GET https://api.ap1.datadoghq.com/api/v2/datasetshttps://api.ap2.datadoghq.com/api/v2/datasetshttps://api.datadoghq.eu/api/v2/datasetshttps://api.ddog-gov.com/api/v2/datasetshttps://api.datadoghq.com/api/v2/datasetshttps://api.us3.datadoghq.com/api/v2/datasetshttps://api.us5.datadoghq.com/api/v2/datasets

개요

Get all datasets that have been configured for an organization. This endpoint requires the user_access_read permission.

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

응답

OK

Response containing a list of datasets.

Expand All

항목

유형

설명

data [required]

[object]

The list of datasets returned in response.

attributes [required]

object

Dataset metadata and configuration(s).

created_at

date-time

Timestamp when the dataset was created.

created_by

uuid

Unique ID of the user who created the dataset.

name [required]

string

Name of the dataset.

principals [required]

[string]

List of access principals, formatted as principal_type:id. Principal can be 'team' or 'role'.

product_filters [required]

[object]

List of product-specific filters.

filters [required]

[string]

Defines the list of tag-based filters used to restrict access to telemetry data for a specific product. These filters act as access control rules. Each filter must follow the tag query syntax used by Datadog (such as @tag.key:value), and only one tag or attribute may be used to define the access strategy per telemetry type.

product [required]

string

Name of the product the dataset is for. Possible values are 'apm', 'rum', 'synthetics', 'metrics', 'logs', 'sd_repoinfo', 'error_tracking', 'cloud_cost', and 'ml_obs'.

id

string

Unique identifier for the dataset.

type [required]

string

Resource type, always "dataset".

{
  "data": [
    {
      "attributes": {
        "created_at": "2019-09-19T10:00:00.000Z",
        "created_by": "string",
        "name": "Security Audit Dataset",
        "principals": [
          "role:86245fce-0a4e-11f0-92bd-da7ad0900002"
        ],
        "product_filters": [
          {
            "filters": [
              "@application.id:ABCD"
            ],
            "product": "logs"
          }
        ]
      },
      "id": "123e4567-e89b-12d3-a456-426614174000",
      "type": "dataset"
    }
  ]
}

Not Authorized

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

코드 사례

                  # Curl command
curl -X GET "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/datasets" \
-H "Accept: application/json" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Get all datasets returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.datasets_api import DatasetsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DatasetsApi(api_client)
    response = api_instance.get_all_datasets()

    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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Get all datasets returns "OK" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::DatasetsAPI.new
p api_instance.get_all_datasets()

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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Get all datasets 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"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewDatasetsApi(apiClient)
	resp, r, err := api.GetAllDatasets(ctx)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `DatasetsApi.GetAllDatasets`:\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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Get all datasets returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatasetsApi;
import com.datadog.api.client.v2.model.DatasetResponseMulti;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    DatasetsApi apiInstance = new DatasetsApi(defaultClient);

    try {
      DatasetResponseMulti result = apiInstance.getAllDatasets();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling DatasetsApi#getAllDatasets");
      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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
// Get all datasets returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_datasets::DatasetsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.get_all_datasets().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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Get all datasets returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.DatasetsApi(configuration);

apiInstance
  .getAllDatasets()
  .then((data: v2.DatasetResponseMulti) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"

Delete a dataset

DELETE https://api.ap1.datadoghq.com/api/v2/datasets/{dataset_id}https://api.ap2.datadoghq.com/api/v2/datasets/{dataset_id}https://api.datadoghq.eu/api/v2/datasets/{dataset_id}https://api.ddog-gov.com/api/v2/datasets/{dataset_id}https://api.datadoghq.com/api/v2/datasets/{dataset_id}https://api.us3.datadoghq.com/api/v2/datasets/{dataset_id}https://api.us5.datadoghq.com/api/v2/datasets/{dataset_id}

개요

Deletes the dataset associated with the ID.

인수

경로 파라미터

이름

유형

설명

dataset_id [required]

string

The ID of a defined dataset.

응답

No Content

Bad Request

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Not Authorized

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Not Found

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

Too many requests

API error response.

Expand All

항목

유형

설명

errors [required]

[string]

A list of errors.

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

코드 사례

                  # Path parameters
export dataset_id="0879ce27-29a1-481f-a12e-bc2a48ec9ae1"
# Curl command
curl -X DELETE "https://api.ap1.datadoghq.com"https://api.ap2.datadoghq.com"https://api.datadoghq.eu"https://api.ddog-gov.com"https://api.datadoghq.com"https://api.us3.datadoghq.com"https://api.us5.datadoghq.com/api/v2/datasets/${dataset_id}" \
-H "DD-API-KEY: ${DD_API_KEY}" \
-H "DD-APPLICATION-KEY: ${DD_APP_KEY}"

                
"""
Delete a dataset returns "No Content" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.datasets_api import DatasetsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = DatasetsApi(api_client)
    api_instance.delete_dataset(
        dataset_id="dataset_id",
    )

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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python3 "example.py"
# Delete a dataset returns "No Content" response

require "datadog_api_client"
api_instance = DatadogAPIClient::V2::DatasetsAPI.new
api_instance.delete_dataset("dataset_id")

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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
// Delete a dataset returns "No Content" response

package main

import (
	"context"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewDatasetsApi(apiClient)
	r, err := api.DeleteDataset(ctx, "dataset_id")

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

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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" go run "main.go"
// Delete a dataset returns "No Content" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.DatasetsApi;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    DatasetsApi apiInstance = new DatasetsApi(defaultClient);

    try {
      apiInstance.deleteDataset("dataset_id");
    } catch (ApiException e) {
      System.err.println("Exception when calling DatasetsApi#deleteDataset");
      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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" java "Example.java"
// Delete a dataset returns "No Content" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_datasets::DatasetsAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = DatasetsAPI::with_config(configuration);
    let resp = api.delete_dataset("dataset_id".to_string()).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.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
/**
 * Delete a dataset returns "No Content" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration();
const apiInstance = new v2.DatasetsApi(configuration);

const params: v2.DatasetsApiDeleteDatasetRequest = {
  datasetId: "dataset_id",
};

apiInstance
  .deleteDataset(params)
  .then((data: any) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));

Instructions

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

    
DD_SITE="datadoghq.comus3.datadoghq.comus5.datadoghq.comdatadoghq.euap1.datadoghq.comap2.datadoghq.comddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" tsc "example.ts"