---
title: Eliminación masiva de periodos de tiempo de SLOs
description: Elimina (o elimina parcialmente) varios objetos de objetivos de nivel de servicio.
breadcrumbs: Documentación > API > Eliminación masiva de periodos de tiempo de SLOs
---

> For the complete documentation index, see [llms.txt](https://dnd37xeb23o8n.cloudfront.net/jen.gilbert/astro-base/llms.txt).

# Eliminación masiva de periodos de tiempo de SLOs

## v1 (latest)

| Datadog site      | API endpoint                                              |
| ----------------- | --------------------------------------------------------- |
| app.datadoghq.com | POST https://api.datadoghq.com/api/v1/slo/bulk_delete     |
| us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v1/slo/bulk_delete |
| us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v1/slo/bulk_delete |
| app.datadoghq.eu  | POST https://api.datadoghq.eu/api/v1/slo/bulk_delete      |
| ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v1/slo/bulk_delete |
| ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v1/slo/bulk_delete |
| uk1.datadoghq.com | POST https://api.uk1.datadoghq.com/api/v1/slo/bulk_delete |
| app.ddog-gov.com  | POST https://api.ddog-gov.com/api/v1/slo/bulk_delete      |
| us2.ddog-gov.com  | POST https://api.us2.ddog-gov.com/api/v1/slo/bulk_delete  |

### Overview

Elimina (o elimina parcialmente) varios objetos de objetivos de nivel de servicio.

Este endpoint facilita la eliminación de uno o varios umbrales para uno o varios
objetos de objetivos de nivel de servicio. Si se eliminan todos los umbrales, el objeto de objetivos de nivel servicio
también se elimina.

This endpoint requires the `slos_write` permission.

OAuth apps require the `slos_write` authorization [scope](https://dnd37xeb23o8n.cloudfront.net/jen.gilbert/astro-base/es/api/latest/scopes.md#service-level-objectives) to access this endpoint.

### Request

#### Body Data (required)

Elimina el cuerpo de una solicitud de varios objetos de objetivos de nivel de servicio.

{% tabs %}
{% tab label="Model" %}
| Parent field         | Field     | Type     | Description                                                                                                                                          |
| -------------------- | --------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| additionalProperties | <any-key> | [string] | Una asignación de ID de objeto de objetivos de nivel de servicio a matrices de periodos de tiempo, que indican los umbrales a eliminar para cada ID. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "id1": [
    "7d",
    "30d"
  ],
  "id2": [
    "7d",
    "30d"
  ]
}
```
{% /tab %}
{% /tabs %}

### Response

{% tabs %}
{% tab label="200" %}
OK

{% tabs %}
{% tab label="Model" %}
The bulk partial delete service level objective object endpoint
response.

This endpoint operates on multiple service level objective objects, so
it may be partially successful. In such cases, the "data" and "error"
fields in this response indicate which deletions succeeded and failed.

| Parent field | Field                  | Type     | Description                                                                                                                                                                                  |
| ------------ | ---------------------- | -------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|              | data                   | object   | An array of service level objective objects.                                                                                                                                                 |
| data         | deleted                | [string] | An array of service level objective object IDs that indicates which objects that were completely deleted.                                                                                    |
| data         | updated                | [string] | An array of service level objective object IDs that indicates which objects that were modified (objects for which at least one threshold was deleted, but that were not completely deleted). |
|              | errors                 | [object] | Array of errors object returned.                                                                                                                                                             |
| errors       | id [*required*]        | string   | The ID of the service level objective object associated with this error.                                                                                                                     |
| errors       | message [*required*]   | string   | The error message.                                                                                                                                                                           |
| errors       | timeframe [*required*] | enum     | The timeframe of the threshold associated with this error or "all" if all thresholds are affected. Allowed enum values: `7d`, `30d`, `90d`, `all`.                                           |
{% /tab %}

{% tab label="Example" %}
```json
{
  "data": {
    "deleted": [],
    "updated": []
  },
  "errors": [
    {
      "id": "",
      "message": "",
      "timeframe": "30d"
    }
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="400" %}
Bad Request

{% tabs %}
{% tab label="Model" %}
Error response object.

| Field               | Type     | Description                          |
| ------------------- | -------- | ------------------------------------ |
| errors [*required*] | [string] | Array of errors returned by the API. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="403" %}
Forbidden

{% tabs %}
{% tab label="Model" %}
Error response object.

| Field               | Type     | Description                          |
| ------------------- | -------- | ------------------------------------ |
| errors [*required*] | [string] | Array of errors returned by the API. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="429" %}
Too many requests

{% tabs %}
{% tab label="Model" %}
Error response object.

| Field               | Type     | Description                          |
| ------------------- | -------- | ------------------------------------ |
| errors [*required*] | [string] | Array of errors returned by the API. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}
{% /tabs %}

### Code Example

{% tabs %}
{% tab label="Curl" %}
```bash
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, 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/v1/slo/bulk_delete" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
  "id1": [
    "7d",
    "30d"
  ],
  "id2": [
    "7d",
    "30d"
  ]
}
EOF
```
{% /tab %}

{% tab label="Go" %}
```go
// Bulk Delete SLO Timeframes 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/datadogV1"
)

func main() {
	body := map[string][]datadogV1.SLOTimeframe{
		"id1": []datadogV1.SLOTimeframe{
			datadogV1.SLOTIMEFRAME_SEVEN_DAYS,
			datadogV1.SLOTIMEFRAME_THIRTY_DAYS,
		},
		"id2": []datadogV1.SLOTimeframe{
			datadogV1.SLOTIMEFRAME_SEVEN_DAYS,
			datadogV1.SLOTIMEFRAME_THIRTY_DAYS,
		},
	}
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV1.NewServiceLevelObjectivesApi(apiClient)
	resp, r, err := api.DeleteSLOTimeframeInBulk(ctx, body)

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

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

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"
```
{% /tab %}

{% tab label="Java" %}
```java
// Bulk Delete SLO Timeframes returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.ServiceLevelObjectivesApi;
import com.datadog.api.client.v1.model.SLOBulkDeleteResponse;
import com.datadog.api.client.v1.model.SLOTimeframe;
import java.util.Arrays;
import java.util.List;
import java.util.Map;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    ServiceLevelObjectivesApi apiInstance = new ServiceLevelObjectivesApi(defaultClient);

    Map<String, List<SLOTimeframe>> body =
        Map.ofEntries(
            Map.entry("id1", Arrays.asList(SLOTimeframe.SEVEN_DAYS, SLOTimeframe.THIRTY_DAYS)),
            Map.entry("id2", Arrays.asList(SLOTimeframe.SEVEN_DAYS, SLOTimeframe.THIRTY_DAYS)));

    try {
      SLOBulkDeleteResponse result = apiInstance.deleteSLOTimeframeInBulk(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling ServiceLevelObjectivesApi#deleteSLOTimeframeInBulk");
      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://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"
```
{% /tab %}

{% tab label="Python" %}
```python
"""
Bulk Delete SLO Timeframes returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.service_level_objectives_api import ServiceLevelObjectivesApi
from datadog_api_client.v1.model.slo_bulk_delete import SLOBulkDelete
from datadog_api_client.v1.model.slo_timeframe import SLOTimeframe

body = SLOBulkDelete(
    id1=[
        SLOTimeframe.SEVEN_DAYS,
        SLOTimeframe.THIRTY_DAYS,
    ],
    id2=[
        SLOTimeframe.SEVEN_DAYS,
        SLOTimeframe.THIRTY_DAYS,
    ],
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = ServiceLevelObjectivesApi(api_client)
    response = api_instance.delete_slo_timeframe_in_bulk(body=body)

    print(response)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"
```
{% /tab %}

{% tab label="Ruby" %}
```ruby
# Bulk Delete SLO Timeframes returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V1::ServiceLevelObjectivesAPI.new

body = {
  id1: [
    DatadogAPIClient::V1::SLOTimeframe::SEVEN_DAYS,
    DatadogAPIClient::V1::SLOTimeframe::THIRTY_DAYS,
  ], id2: [
    DatadogAPIClient::V1::SLOTimeframe::SEVEN_DAYS,
    DatadogAPIClient::V1::SLOTimeframe::THIRTY_DAYS,
  ],
}
p api_instance.delete_slo_timeframe_in_bulk(body)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"
```
{% /tab %}

{% tab label="Rust" %}
```rust
// Bulk Delete SLO Timeframes returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_service_level_objectives::ServiceLevelObjectivesAPI;
use datadog_api_client::datadogV1::model::SLOTimeframe;
use std::collections::BTreeMap;

#[tokio::main]
async fn main() {
    let body = BTreeMap::from([
        (
            "id1".to_string(),
            vec![SLOTimeframe::SEVEN_DAYS, SLOTimeframe::THIRTY_DAYS],
        ),
        (
            "id2".to_string(),
            vec![SLOTimeframe::SEVEN_DAYS, SLOTimeframe::THIRTY_DAYS],
        ),
    ]);
    let configuration = datadog::Configuration::new();
    let api = ServiceLevelObjectivesAPI::with_config(configuration);
    let resp = api.delete_slo_timeframe_in_bulk(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run
```
{% /tab %}

{% tab label="TypeScript" %}
```typescript
/**
 * Bulk Delete SLO Timeframes returns "OK" response
 */

import { client, v1 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
const apiInstance = new v1.ServiceLevelObjectivesApi(configuration);

const params: v1.ServiceLevelObjectivesApiDeleteSLOTimeframeInBulkRequest = {
  body: {
    id1: ["7d", "30d"],
    id2: ["7d", "30d"],
  },
};

apiInstance
  .deleteSLOTimeframeInBulk(params)
  .then((data: v1.SLOBulkDeleteResponse) => {
    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://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"
```
{% /tab %}

{% tab label="Python [legacy]" %}
```python
from datadog import initialize, api

options = {
    'api_key': '<DATADOG_API_KEY>',
    'app_key': '<DATADOG_APPLICATION_KEY>'
}

slo_id_1 = '<YOUR_SLO_ID>'
slo_id_2 = '<YOUR_SLO_ID>'

initialize(**options)

delete_timeframes = {
  slo_id_1: ["7d"]
  slo_id_2: ["7d", "30d"]
}

api.ServiceLevelObjective.bulk_delete(delete_timeframes)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python-legacy) and then save the example to `example.py` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" python "example.py"
```
{% /tab %}

{% tab label="Ruby [legacy]" %}
```ruby
require 'dogapi'

api_key = '<DATADOG_API_KEY>'
app_key = '<DATADOG_APPLICATION_KEY>'

slo_id_one = '<YOUR_FIRST_SLO_ID>'.freeze
slo_id_two = '<YOUR_SECOND_SLO_ID>'.freeze

dog = Dogapi::Client.new(api_key, app_key)

# Delete multiple timeframes
thresholds = {
  slo_id_one => %w[7d],
  slo_id_two => %w[7d 30d]
}
dog.delete_timeframes_service_level_objective(thresholds)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby-legacy) and then save the example to `example.rb` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" rb "example.rb"
```
{% /tab %}
{% /tabs %}