--- title: Update a retention filter description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > APM Retention Filters --- # Update a retention filter{% #update-a-retention-filter %} Copy pageCopied {% tab title="v2" %} | Datadog site | API endpoint | | ----------------- | --------------------------------------------------------------------------------- | | ap1.datadoghq.com | PUT https://api.ap1.datadoghq.com/api/v2/apm/config/retention-filters/{filter_id} | | ap2.datadoghq.com | PUT https://api.ap2.datadoghq.com/api/v2/apm/config/retention-filters/{filter_id} | | app.datadoghq.eu | PUT https://api.datadoghq.eu/api/v2/apm/config/retention-filters/{filter_id} | | app.ddog-gov.com | PUT https://api.ddog-gov.com/api/v2/apm/config/retention-filters/{filter_id} | | us2.ddog-gov.com | PUT https://api.us2.ddog-gov.com/api/v2/apm/config/retention-filters/{filter_id} | | app.datadoghq.com | PUT https://api.datadoghq.com/api/v2/apm/config/retention-filters/{filter_id} | | us3.datadoghq.com | PUT https://api.us3.datadoghq.com/api/v2/apm/config/retention-filters/{filter_id} | | us5.datadoghq.com | PUT https://api.us5.datadoghq.com/api/v2/apm/config/retention-filters/{filter_id} | ### Overview Update a retention filter from your organization. Default filters (filters with types spans-errors-sampling-processor and spans-appsec-sampling-processor) cannot be renamed or removed. This endpoint requires the `apm_retention_filter_write` permission. ### Arguments #### Path Parameters | Name | Type | Description | | --------------------------- | ------ | ------------------------------- | | filter_id [*required*] | string | The ID of the retention filter. | ### Request #### Body Data (required) The updated definition of the retention filter. {% tab title="Model" %} | Parent field | Field | Type | Description | | ------------ | ----------------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | The body of the retention filter to be updated. | | data | attributes [*required*] | object | The object describing the configuration of the retention filter to create/update. | | attributes | enabled [*required*] | boolean | Enable/Disable the retention filter. | | attributes | filter [*required*] | object | The spans filter. Spans matching this filter will be indexed and stored. | | filter | query [*required*] | string | The search query - following the [span search syntax](https://docs.datadoghq.com/tracing/trace_explorer/query_syntax.md). | | attributes | filter_type [*required*] | enum | The type of retention filter. Allowed enum values: `spans-sampling-processor,spans-errors-sampling-processor,spans-appsec-sampling-processor` | | attributes | name [*required*] | string | The name of the retention filter. | | attributes | rate [*required*] | double | Sample rate to apply to spans going through this retention filter. A value of 1.0 keeps all spans matching the query. | | attributes | trace_rate | double | Sample rate to apply to traces containing spans going through this retention filter. A value of 1.0 keeps all traces with spans matching the query. | | data | id [*required*] | string | The ID of the retention filter. | | data | type [*required*] | enum | The type of the resource. Allowed enum values: `apm_retention_filter` | {% /tab %} {% tab title="Example" %} ##### ```json { "data": { "attributes": { "name": "test", "rate": 0.9, "filter": { "query": "@_top_level:1 test:service-demo" }, "enabled": true, "filter_type": "spans-sampling-processor" }, "id": "test-id", "type": "apm_retention_filter" } } ``` ##### ```json { "data": { "attributes": { "name": "test", "rate": 0.9, "trace_rate": 1.0, "filter": { "query": "@_top_level:1 test:service-demo" }, "enabled": true, "filter_type": "spans-sampling-processor" }, "id": "test-id", "type": "apm_retention_filter" } } ``` {% /tab %} ### Response {% tab title="200" %} OK {% tab title="Model" %} The retention filters definition. | Parent field | Field | Type | Description | | ------------ | ---------------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | | | data | object | The definition of the retention filter. | | data | attributes [*required*] | object | The attributes of the retention filter. | | attributes | created_at | int64 | The creation timestamp of the retention filter. | | attributes | created_by | string | The creator of the retention filter. | | attributes | editable | boolean | Shows whether the filter can be edited. | | attributes | enabled | boolean | The status of the retention filter (Enabled/Disabled). | | attributes | execution_order | int64 | The execution order of the retention filter. | | attributes | filter | object | The spans filter used to index spans. | | filter | query | string | The search query - following the [span search syntax](https://docs.datadoghq.com/tracing/trace_explorer/query_syntax.md). | | attributes | filter_type | enum | The type of retention filter. Allowed enum values: `spans-sampling-processor,spans-errors-sampling-processor,spans-appsec-sampling-processor` | | attributes | modified_at | int64 | The modification timestamp of the retention filter. | | attributes | modified_by | string | The modifier of the retention filter. | | attributes | name | string | The name of the retention filter. | | attributes | rate | double | Sample rate to apply to spans going through this retention filter. A value of 1.0 keeps all spans matching the query. | | attributes | trace_rate | double | Sample rate to apply to traces containing spans going through this retention filter. A value of 1.0 keeps all traces with spans matching the query. | | data | id [*required*] | string | The ID of the retention filter. | | data | type [*required*] | enum | The type of the resource. Allowed enum values: `apm_retention_filter` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "created_at": "integer", "created_by": "string", "editable": true, "enabled": true, "execution_order": "integer", "filter": { "query": "@http.status_code:200 service:my-service" }, "filter_type": "spans-sampling-processor", "modified_at": "integer", "modified_by": "string", "name": "my retention filter", "rate": 1, "trace_rate": 1 }, "id": "7RBOb7dLSYWI01yc3pIH8w", "type": "apm_retention_filter" } } ``` {% /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 filter_id="CHANGE_ME" \# Curl command curl -X PUT "https://api.datadoghq.com/api/v2/apm/config/retention-filters/${filter_id}" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "enabled": true, "filter": { "query": "@http.status_code:200 service:my-service" }, "filter_type": "spans-sampling-processor", "name": "my retention filter", "rate": 1, "trace_rate": 1 }, "id": "retention-filter-id", "type": "apm_retention_filter" } } EOF ##### \## default # \# Path parameters export filter_id="CHANGE_ME" \# Curl command curl -X PUT "https://api.datadoghq.com/api/v2/apm/config/retention-filters/${filter_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": { "enabled": true, "filter": { "query": "@http.status_code:200 service:my-service" }, "filter_type": "spans-sampling-processor", "name": "my retention filter", "rate": 1, "trace_rate": 1 }, "id": "retention-filter-id", "type": "apm_retention_filter" } } EOF ##### ```go // Update a retention filter 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 "retention_filter" in the system RetentionFilterDataID := os.Getenv("RETENTION_FILTER_DATA_ID") body := datadogV2.RetentionFilterUpdateRequest{ Data: datadogV2.RetentionFilterUpdateData{ Attributes: datadogV2.RetentionFilterUpdateAttributes{ Name: "test", Rate: 0.9, Filter: datadogV2.SpansFilterCreate{ Query: "@_top_level:1 test:service-demo", }, Enabled: true, FilterType: datadogV2.RETENTIONFILTERALLTYPE_SPANS_SAMPLING_PROCESSOR, }, Id: "test-id", Type: datadogV2.APMRETENTIONFILTERTYPE_apm_retention_filter, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewAPMRetentionFiltersApi(apiClient) resp, r, err := api.UpdateApmRetentionFilter(ctx, RetentionFilterDataID, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `APMRetentionFiltersApi.UpdateApmRetentionFilter`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `APMRetentionFiltersApi.UpdateApmRetentionFilter`:\n%s\n", responseContent) } ``` ##### ```go // Update a retention filter with trace rate 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 "retention_filter" in the system RetentionFilterDataID := os.Getenv("RETENTION_FILTER_DATA_ID") body := datadogV2.RetentionFilterUpdateRequest{ Data: datadogV2.RetentionFilterUpdateData{ Attributes: datadogV2.RetentionFilterUpdateAttributes{ Name: "test", Rate: 0.9, TraceRate: datadog.PtrFloat64(1.0), Filter: datadogV2.SpansFilterCreate{ Query: "@_top_level:1 test:service-demo", }, Enabled: true, FilterType: datadogV2.RETENTIONFILTERALLTYPE_SPANS_SAMPLING_PROCESSOR, }, Id: "test-id", Type: datadogV2.APMRETENTIONFILTERTYPE_apm_retention_filter, }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewAPMRetentionFiltersApi(apiClient) resp, r, err := api.UpdateApmRetentionFilter(ctx, RetentionFilterDataID, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `APMRetentionFiltersApi.UpdateApmRetentionFilter`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `APMRetentionFiltersApi.UpdateApmRetentionFilter`:\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 // Update a retention filter returns "OK" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v2.api.ApmRetentionFiltersApi; import com.datadog.api.client.v2.model.ApmRetentionFilterType; import com.datadog.api.client.v2.model.RetentionFilterAllType; import com.datadog.api.client.v2.model.RetentionFilterResponse; import com.datadog.api.client.v2.model.RetentionFilterUpdateAttributes; import com.datadog.api.client.v2.model.RetentionFilterUpdateData; import com.datadog.api.client.v2.model.RetentionFilterUpdateRequest; import com.datadog.api.client.v2.model.SpansFilterCreate; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); ApmRetentionFiltersApi apiInstance = new ApmRetentionFiltersApi(defaultClient); // there is a valid "retention_filter" in the system String RETENTION_FILTER_DATA_ID = System.getenv("RETENTION_FILTER_DATA_ID"); RetentionFilterUpdateRequest body = new RetentionFilterUpdateRequest() .data( new RetentionFilterUpdateData() .attributes( new RetentionFilterUpdateAttributes() .name("test") .rate(0.9) .filter( new SpansFilterCreate().query("@_top_level:1 test:service-demo")) .enabled(true) .filterType(RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR)) .id("test-id") .type(ApmRetentionFilterType.apm_retention_filter)); try { RetentionFilterResponse result = apiInstance.updateApmRetentionFilter(RETENTION_FILTER_DATA_ID, body); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling ApmRetentionFiltersApi#updateApmRetentionFilter"); System.err.println("Status code: " + e.getCode()); System.err.println("Reason: " + e.getResponseBody()); System.err.println("Response headers: " + e.getResponseHeaders()); e.printStackTrace(); } } } ``` ##### ```java // Update a retention filter with trace rate returns "OK" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v2.api.ApmRetentionFiltersApi; import com.datadog.api.client.v2.model.ApmRetentionFilterType; import com.datadog.api.client.v2.model.RetentionFilterAllType; import com.datadog.api.client.v2.model.RetentionFilterResponse; import com.datadog.api.client.v2.model.RetentionFilterUpdateAttributes; import com.datadog.api.client.v2.model.RetentionFilterUpdateData; import com.datadog.api.client.v2.model.RetentionFilterUpdateRequest; import com.datadog.api.client.v2.model.SpansFilterCreate; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); ApmRetentionFiltersApi apiInstance = new ApmRetentionFiltersApi(defaultClient); // there is a valid "retention_filter" in the system String RETENTION_FILTER_DATA_ID = System.getenv("RETENTION_FILTER_DATA_ID"); RetentionFilterUpdateRequest body = new RetentionFilterUpdateRequest() .data( new RetentionFilterUpdateData() .attributes( new RetentionFilterUpdateAttributes() .name("test") .rate(0.9) .traceRate(1.0) .filter( new SpansFilterCreate().query("@_top_level:1 test:service-demo")) .enabled(true) .filterType(RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR)) .id("test-id") .type(ApmRetentionFilterType.apm_retention_filter)); try { RetentionFilterResponse result = apiInstance.updateApmRetentionFilter(RETENTION_FILTER_DATA_ID, body); System.out.println(result); } catch (ApiException e) { System.err.println("Exception when calling ApmRetentionFiltersApi#updateApmRetentionFilter"); 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 """ Update a retention filter returns "OK" response """ from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.apm_retention_filters_api import APMRetentionFiltersApi from datadog_api_client.v2.model.apm_retention_filter_type import ApmRetentionFilterType from datadog_api_client.v2.model.retention_filter_all_type import RetentionFilterAllType from datadog_api_client.v2.model.retention_filter_update_attributes import RetentionFilterUpdateAttributes from datadog_api_client.v2.model.retention_filter_update_data import RetentionFilterUpdateData from datadog_api_client.v2.model.retention_filter_update_request import RetentionFilterUpdateRequest from datadog_api_client.v2.model.spans_filter_create import SpansFilterCreate # there is a valid "retention_filter" in the system RETENTION_FILTER_DATA_ID = environ["RETENTION_FILTER_DATA_ID"] body = RetentionFilterUpdateRequest( data=RetentionFilterUpdateData( attributes=RetentionFilterUpdateAttributes( name="test", rate=0.9, filter=SpansFilterCreate( query="@_top_level:1 test:service-demo", ), enabled=True, filter_type=RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR, ), id="test-id", type=ApmRetentionFilterType.apm_retention_filter, ), ) configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = APMRetentionFiltersApi(api_client) response = api_instance.update_apm_retention_filter(filter_id=RETENTION_FILTER_DATA_ID, body=body) print(response) ``` ##### ```python """ Update a retention filter with trace rate returns "OK" response """ from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.apm_retention_filters_api import APMRetentionFiltersApi from datadog_api_client.v2.model.apm_retention_filter_type import ApmRetentionFilterType from datadog_api_client.v2.model.retention_filter_all_type import RetentionFilterAllType from datadog_api_client.v2.model.retention_filter_update_attributes import RetentionFilterUpdateAttributes from datadog_api_client.v2.model.retention_filter_update_data import RetentionFilterUpdateData from datadog_api_client.v2.model.retention_filter_update_request import RetentionFilterUpdateRequest from datadog_api_client.v2.model.spans_filter_create import SpansFilterCreate # there is a valid "retention_filter" in the system RETENTION_FILTER_DATA_ID = environ["RETENTION_FILTER_DATA_ID"] body = RetentionFilterUpdateRequest( data=RetentionFilterUpdateData( attributes=RetentionFilterUpdateAttributes( name="test", rate=0.9, trace_rate=1.0, filter=SpansFilterCreate( query="@_top_level:1 test:service-demo", ), enabled=True, filter_type=RetentionFilterAllType.SPANS_SAMPLING_PROCESSOR, ), id="test-id", type=ApmRetentionFilterType.apm_retention_filter, ), ) configuration = Configuration() with ApiClient(configuration) as api_client: api_instance = APMRetentionFiltersApi(api_client) response = api_instance.update_apm_retention_filter(filter_id=RETENTION_FILTER_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 # Update a retention filter returns "OK" response require "datadog_api_client" api_instance = DatadogAPIClient::V2::APMRetentionFiltersAPI.new # there is a valid "retention_filter" in the system RETENTION_FILTER_DATA_ID = ENV["RETENTION_FILTER_DATA_ID"] body = DatadogAPIClient::V2::RetentionFilterUpdateRequest.new({ data: DatadogAPIClient::V2::RetentionFilterUpdateData.new({ attributes: DatadogAPIClient::V2::RetentionFilterUpdateAttributes.new({ name: "test", rate: 0.9, filter: DatadogAPIClient::V2::SpansFilterCreate.new({ query: "@_top_level:1 test:service-demo", }), enabled: true, filter_type: DatadogAPIClient::V2::RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR, }), id: "test-id", type: DatadogAPIClient::V2::ApmRetentionFilterType::APM_RETENTION_FILTER, }), }) p api_instance.update_apm_retention_filter(RETENTION_FILTER_DATA_ID, body) ``` ##### ```ruby # Update a retention filter with trace rate returns "OK" response require "datadog_api_client" api_instance = DatadogAPIClient::V2::APMRetentionFiltersAPI.new # there is a valid "retention_filter" in the system RETENTION_FILTER_DATA_ID = ENV["RETENTION_FILTER_DATA_ID"] body = DatadogAPIClient::V2::RetentionFilterUpdateRequest.new({ data: DatadogAPIClient::V2::RetentionFilterUpdateData.new({ attributes: DatadogAPIClient::V2::RetentionFilterUpdateAttributes.new({ name: "test", rate: 0.9, trace_rate: 1.0, filter: DatadogAPIClient::V2::SpansFilterCreate.new({ query: "@_top_level:1 test:service-demo", }), enabled: true, filter_type: DatadogAPIClient::V2::RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR, }), id: "test-id", type: DatadogAPIClient::V2::ApmRetentionFilterType::APM_RETENTION_FILTER, }), }) p api_instance.update_apm_retention_filter(RETENTION_FILTER_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 // Update a retention filter returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_apm_retention_filters::APMRetentionFiltersAPI; use datadog_api_client::datadogV2::model::ApmRetentionFilterType; use datadog_api_client::datadogV2::model::RetentionFilterAllType; use datadog_api_client::datadogV2::model::RetentionFilterUpdateAttributes; use datadog_api_client::datadogV2::model::RetentionFilterUpdateData; use datadog_api_client::datadogV2::model::RetentionFilterUpdateRequest; use datadog_api_client::datadogV2::model::SpansFilterCreate; #[tokio::main] async fn main() { // there is a valid "retention_filter" in the system let retention_filter_data_id = std::env::var("RETENTION_FILTER_DATA_ID").unwrap(); let body = RetentionFilterUpdateRequest::new(RetentionFilterUpdateData::new( RetentionFilterUpdateAttributes::new( true, SpansFilterCreate::new("@_top_level:1 test:service-demo".to_string()), RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR, "test".to_string(), 0.9, ), "test-id".to_string(), ApmRetentionFilterType::apm_retention_filter, )); let configuration = datadog::Configuration::new(); let api = APMRetentionFiltersAPI::with_config(configuration); let resp = api .update_apm_retention_filter(retention_filter_data_id.clone(), body) .await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` ##### ```rust // Update a retention filter with trace rate returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_apm_retention_filters::APMRetentionFiltersAPI; use datadog_api_client::datadogV2::model::ApmRetentionFilterType; use datadog_api_client::datadogV2::model::RetentionFilterAllType; use datadog_api_client::datadogV2::model::RetentionFilterUpdateAttributes; use datadog_api_client::datadogV2::model::RetentionFilterUpdateData; use datadog_api_client::datadogV2::model::RetentionFilterUpdateRequest; use datadog_api_client::datadogV2::model::SpansFilterCreate; #[tokio::main] async fn main() { // there is a valid "retention_filter" in the system let retention_filter_data_id = std::env::var("RETENTION_FILTER_DATA_ID").unwrap(); let body = RetentionFilterUpdateRequest::new(RetentionFilterUpdateData::new( RetentionFilterUpdateAttributes::new( true, SpansFilterCreate::new("@_top_level:1 test:service-demo".to_string()), RetentionFilterAllType::SPANS_SAMPLING_PROCESSOR, "test".to_string(), 0.9, ) .trace_rate(1.0 as f64), "test-id".to_string(), ApmRetentionFilterType::apm_retention_filter, )); let configuration = datadog::Configuration::new(); let api = APMRetentionFiltersAPI::with_config(configuration); let resp = api .update_apm_retention_filter(retention_filter_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 /** * Update a retention filter returns "OK" response */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v2.APMRetentionFiltersApi(configuration); // there is a valid "retention_filter" in the system const RETENTION_FILTER_DATA_ID = process.env.RETENTION_FILTER_DATA_ID as string; const params: v2.APMRetentionFiltersApiUpdateApmRetentionFilterRequest = { body: { data: { attributes: { name: "test", rate: 0.9, filter: { query: "@_top_level:1 test:service-demo", }, enabled: true, filterType: "spans-sampling-processor", }, id: "test-id", type: "apm_retention_filter", }, }, filterId: RETENTION_FILTER_DATA_ID, }; apiInstance .updateApmRetentionFilter(params) .then((data: v2.RetentionFilterResponse) => { console.log( "API called successfully. Returned data: " + JSON.stringify(data) ); }) .catch((error: any) => console.error(error)); ``` ##### ```typescript /** * Update a retention filter with trace rate returns "OK" response */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); const apiInstance = new v2.APMRetentionFiltersApi(configuration); // there is a valid "retention_filter" in the system const RETENTION_FILTER_DATA_ID = process.env.RETENTION_FILTER_DATA_ID as string; const params: v2.APMRetentionFiltersApiUpdateApmRetentionFilterRequest = { body: { data: { attributes: { name: "test", rate: 0.9, traceRate: 1.0, filter: { query: "@_top_level:1 test:service-demo", }, enabled: true, filterType: "spans-sampling-processor", }, id: "test-id", type: "apm_retention_filter", }, }, filterId: RETENTION_FILTER_DATA_ID, }; apiInstance .updateApmRetentionFilter(params) .then((data: v2.RetentionFilterResponse) => { 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 %}