--- title: Edit a dataset description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Datasets --- # Edit a dataset{% #edit-a-dataset %} {% tab title="v2" %} **Note: Data Access is in preview. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/).** | Datadog site | API endpoint | | ----------------- | -------------------------------------------------------------- | | ap1.datadoghq.com | PUT https://api.ap1.datadoghq.com/api/v2/datasets/{dataset_id} | | ap2.datadoghq.com | PUT https://api.ap2.datadoghq.com/api/v2/datasets/{dataset_id} | | app.datadoghq.eu | PUT https://api.datadoghq.eu/api/v2/datasets/{dataset_id} | | app.ddog-gov.com | PUT https://api.ddog-gov.com/api/v2/datasets/{dataset_id} | | us2.ddog-gov.com | PUT https://api.us2.ddog-gov.com/api/v2/datasets/{dataset_id} | | app.datadoghq.com | PUT https://api.datadoghq.com/api/v2/datasets/{dataset_id} | | us3.datadoghq.com | PUT https://api.us3.datadoghq.com/api/v2/datasets/{dataset_id} | | us5.datadoghq.com | PUT https://api.us5.datadoghq.com/api/v2/datasets/{dataset_id} | ### Overview Edits the dataset associated with the ID. This endpoint requires the `user_access_manage` permission. OAuth apps require the `user_access_manage` authorization [scope](https://docs.datadoghq.com/api/latest/scopes.md#datasets) to access this endpoint. ### Arguments #### Path Parameters | Name | Type | Description | | ---------------------------- | ------ | ---------------------------- | | dataset_id [*required*] | string | The ID of a defined dataset. | ### Request #### Body Data (required) Dataset payload {% tab title="Model" %} | Parent field | Field | Type | Description | | --------------- | --------------------------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | **Datasets Object Constraints** | **Tag limit per dataset**: | **Tag key rules per telemetry type**: | **Tag value uniqueness**: | | data | attributes [*required*] | object | Dataset metadata and configurations. | | attributes | name [*required*] | string | Name of the dataset. | | attributes | principals [*required*] | [string] | List of access principals, formatted as `principal_type:id`. Principal can be 'team' or 'role'. | | attributes | product_filters [*required*] | [object] | List of product-specific filters. | | product_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_filters | product [*required*] | string | Name of the product the dataset is for. Possible values are 'apm', 'rum', 'metrics', 'logs', 'error_tracking', 'cloud_cost', and 'sd_repoinfo'. | | data | type [*required*] | enum | Resource type, always set to `dataset`. Allowed enum values: `dataset` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "name": "Security Audit Dataset", "principals": [ "role:94172442-be03-11e9-a77a-3b7612558ac1" ], "product_filters": [ { "filters": [ "@application.id:1234" ], "product": "metrics" } ] }, "type": "dataset" } } ``` {% /tab %} ### Response {% tab title="200" %} OK {% tab title="Model" %} Response containing a single dataset object. | Parent field | Field | Type | Description | | --------------- | ------------------------- | --------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data | object | **Datasets Object Constraints** | **Tag Limit per Dataset**: | **Tag Key Rules per Telemetry Type**: | **Tag Value Uniqueness**: | | data | attributes | object | Dataset metadata and configuration(s). | | attributes | created_at | date-time | Timestamp when the dataset was created. | | attributes | created_by | uuid | Unique ID of the user who created the dataset. | | attributes | name | string | Name of the dataset. | | attributes | principals | [string] | List of access principals, formatted as `principal_type:id`. Principal can be 'team' or 'role'. | | attributes | product_filters | [object] | List of product-specific filters. | | product_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_filters | product [*required*] | string | Name of the product the dataset is for. Possible values are 'apm', 'rum', 'metrics', 'logs', 'error_tracking', 'cloud_cost', and 'sd_repoinfo'. | | data | id | string | Unique identifier for the dataset. | | data | type | enum | Resource type, always set to `dataset`. Allowed enum values: `dataset` | {% /tab %} {% tab title="Example" %} ```json { "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" } } ``` {% /tab %} {% /tab %} {% tab title="400" %} Bad Request {% 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 %} {% tab title="403" %} Not Authorized {% 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 %} {% tab title="404" %} Not Found {% 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 %} {% 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 dataset_id="0879ce27-29a1-481f-a12e-bc2a48ec9ae1" \# Curl command curl -X PUT "https://api.datadoghq.com/api/v2/datasets/${dataset_id}" \ -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:94172442-be03-11e9-a77a-3b7612558ac1" ], "product_filters": [ { "filters": [ "@application.id:ABCD" ], "product": "logs" } ] }, "type": "dataset" } } EOF ##### ```go // Edit 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() { // there is a valid "dataset" in the system DatasetDataID := os.Getenv("DATASET_DATA_ID") body := datadogV2.DatasetUpdateRequest{ Data: datadogV2.DatasetRequest{ Attributes: datadogV2.DatasetAttributesRequest{ Name: "Security Audit Dataset", Principals: []string{ "role:94172442-be03-11e9-a77a-3b7612558ac1", }, ProductFilters: []datadogV2.FiltersPerProduct{ { Filters: []string{ "@application.id:1234", }, Product: "metrics", }, }, }, Type: datadogV2.DATASETTYPE_DATASET, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() configuration.SetUnstableOperationEnabled("v2.UpdateDataset", true) apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewDatasetsApi(apiClient) resp, r, err := api.UpdateDataset(ctx, DatasetDataID, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `DatasetsApi.UpdateDataset`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `DatasetsApi.UpdateDataset`:\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_API_KEY="" DD_APP_KEY="" go run "main.go" ##### ```java // Edit 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.DatasetAttributesRequest; import com.datadog.api.client.v2.model.DatasetRequest; import com.datadog.api.client.v2.model.DatasetResponseSingle; import com.datadog.api.client.v2.model.DatasetType; import com.datadog.api.client.v2.model.DatasetUpdateRequest; 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(); defaultClient.setUnstableOperationEnabled("v2.updateDataset", true); DatasetsApi apiInstance = new DatasetsApi(defaultClient); // there is a valid "dataset" in the system String DATASET_DATA_ID = System.getenv("DATASET_DATA_ID"); DatasetUpdateRequest body = new DatasetUpdateRequest() .data( new DatasetRequest() .attributes( new DatasetAttributesRequest() .name("Security Audit Dataset") .principals( Collections.singletonList( "role:94172442-be03-11e9-a77a-3b7612558ac1")) .productFilters( Collections.singletonList( new FiltersPerProduct() .filters(Collections.singletonList("@application.id:1234")) .product("metrics")))) .type(DatasetType.DATASET)); try { DatasetResponseSingle result = apiInstance.updateDataset(DATASET_DATA_ID, body); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling DatasetsApi#updateDataset"); 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_API_KEY="" DD_APP_KEY="" java "Example.java" ##### ```python """ Edit a dataset returns "OK" response """ from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.datasets_api import DatasetsApi from datadog_api_client.v2.model.dataset_attributes_request import DatasetAttributesRequest from datadog_api_client.v2.model.dataset_request import DatasetRequest from datadog_api_client.v2.model.dataset_type import DatasetType from datadog_api_client.v2.model.dataset_update_request import DatasetUpdateRequest from datadog_api_client.v2.model.filters_per_product import FiltersPerProduct # there is a valid "dataset" in the system DATASET_DATA_ID = environ["DATASET_DATA_ID"] body = DatasetUpdateRequest( data=DatasetRequest( attributes=DatasetAttributesRequest( name="Security Audit Dataset", principals=[ "role:94172442-be03-11e9-a77a-3b7612558ac1", ], product_filters=[ FiltersPerProduct( filters=[ "@application.id:1234", ], product="metrics", ), ], ), type=DatasetType.DATASET, ), ) configuration = Configuration() configuration.unstable_operations["update_dataset"] = True with ApiClient(configuration) as api_client: api_instance = DatasetsApi(api_client) response = api_instance.update_dataset(dataset_id=DATASET_DATA_ID, 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_API_KEY="" DD_APP_KEY="" python3 "example.py" ##### ```ruby # Edit a dataset returns "OK" response require "datadog_api_client" DatadogAPIClient.configure do |config| config.unstable_operations["v2.update_dataset".to_sym] = true end api_instance = DatadogAPIClient::V2::DatasetsAPI.new # there is a valid "dataset" in the system DATASET_DATA_ID = ENV["DATASET_DATA_ID"] body = DatadogAPIClient::V2::DatasetUpdateRequest.new({ data: DatadogAPIClient::V2::DatasetRequest.new({ attributes: DatadogAPIClient::V2::DatasetAttributesRequest.new({ name: "Security Audit Dataset", principals: [ "role:94172442-be03-11e9-a77a-3b7612558ac1", ], product_filters: [ DatadogAPIClient::V2::FiltersPerProduct.new({ filters: [ "@application.id:1234", ], product: "metrics", }), ], }), type: DatadogAPIClient::V2::DatasetType::DATASET, }), }) p api_instance.update_dataset(DATASET_DATA_ID, 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_API_KEY="" DD_APP_KEY="" rb "example.rb" ##### ```rust // Edit a dataset returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_datasets::DatasetsAPI; use datadog_api_client::datadogV2::model::DatasetAttributesRequest; use datadog_api_client::datadogV2::model::DatasetRequest; use datadog_api_client::datadogV2::model::DatasetType; use datadog_api_client::datadogV2::model::DatasetUpdateRequest; use datadog_api_client::datadogV2::model::FiltersPerProduct; #[tokio::main] async fn main() { // there is a valid "dataset" in the system let dataset_data_id = std::env::var("DATASET_DATA_ID").unwrap(); let body = DatasetUpdateRequest::new(DatasetRequest::new( DatasetAttributesRequest::new( "Security Audit Dataset".to_string(), vec!["role:94172442-be03-11e9-a77a-3b7612558ac1".to_string()], vec![FiltersPerProduct::new( vec!["@application.id:1234".to_string()], "metrics".to_string(), )], ), DatasetType::DATASET, )); let mut configuration = datadog::Configuration::new(); configuration.set_unstable_operation_enabled("v2.UpdateDataset", true); let api = DatasetsAPI::with_config(configuration); let resp = api.update_dataset(dataset_data_id.clone(), 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 ##### ```typescript /** * Edit a dataset returns "OK" response */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); configuration.unstableOperations["v2.updateDataset"] = true; const apiInstance = new v2.DatasetsApi(configuration); // there is a valid "dataset" in the system const DATASET_DATA_ID = process.env.DATASET_DATA_ID as string; const params: v2.DatasetsApiUpdateDatasetRequest = { body: { data: { attributes: { name: "Security Audit Dataset", principals: ["role:94172442-be03-11e9-a77a-3b7612558ac1"], productFilters: [ { filters: ["@application.id:1234"], product: "metrics", }, ], }, type: "dataset", }, }, datasetId: DATASET_DATA_ID, }; apiInstance .updateDataset(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](https://docs.datadoghq.com/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" tsc "example.ts" {% /tab %}