---
title: Vérifier qu'une fonction AWS Lambda existe
description: Vérifiez si les autorisations nécessaires à l'ajout d'un déclencheur de transmission de logs pour les services et le compte AWS donnés sont définies.
breadcrumbs: Documentation > API > Vérifier qu'une fonction AWS Lambda existe
---

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

# Vérifier qu'une fonction AWS Lambda existe

## v1 (deprecated)

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

### Overview

Vérifiez si les autorisations nécessaires à l'ajout d'un déclencheur de transmission de logs pour les services et le compte AWS donnés sont définies. L'entrée est la même que pour l'endpoint Activer la collecte de logs d'un service AWS. Les requêtes ultérieures répéteront toujours ce qui précède, les appels de cet endpoint peuvent donc être effectués par intermittence au lieu d'être bloquants.

- Renvoie un statut `created` lors de la vérification de la présence de la fonction Lambda dans le compte.
- Renvoie un statut `waiting` lors de la vérification.
- Renvoie un statut `checked and ok` si la fonction Lambda existe.
- Renvoie un statut `error` si la fonction Lambda n'existe pas.

This endpoint requires the `aws_configuration_read` permission.

### Request

#### Body Data (required)

Corps de requête asynchrone pour la vérification de l'existence d'une fonction Lambda.

{% tabs %}
{% tab label="Model" %}
| Field                   | Type   | Description                                                                                    |
| ----------------------- | ------ | ---------------------------------------------------------------------------------------------- |
| account_id [*required*] | string | ID de compte AWS et ARN de Lambda.                                                             |
| lambda_arn [*required*] | string | ARN of the Datadog Lambda created during the Datadog-Amazon Web services Log collection setup. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "account_id": "1234567",
  "lambda_arn": "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest"
}
```
{% /tab %}
{% /tabs %}

### Response

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

{% tabs %}
{% tab label="Model" %}
A list of all Datadog-AWS logs integrations available in your Datadog organization.

| Parent field | Field   | Type     | Description               |
| ------------ | ------- | -------- | ------------------------- |
|              | errors  | [object] | List of errors.           |
| errors       | code    | string   | Code properties           |
| errors       | message | string   | Message content.          |
|              | status  | string   | Status of the properties. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    {
      "code": "no_such_config",
      "message": "AWS account 12345 has no Lambda config to update"
    }
  ],
  "status": "created"
}
```
{% /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" %}
Authentication Error

{% 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/integration/aws/logs/check_async" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
  "account_id": "1234567",
  "lambda_arn": "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest"
}
EOF
```
{% /tab %}

{% tab label="Go" %}
```go
// Check that an AWS Lambda Function exists 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 := datadogV1.AWSAccountAndLambdaRequest{
		AccountId: "1234567",
		LambdaArn: "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest",
	}
	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.NewAWSLogsIntegrationApi(apiClient)
	resp, r, err := api.CheckAWSLogsLambdaAsync(ctx, body)

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

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `AWSLogsIntegrationApi.CheckAWSLogsLambdaAsync`:\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
// Check that an AWS Lambda Function exists returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.AwsLogsIntegrationApi;
import com.datadog.api.client.v1.model.AWSAccountAndLambdaRequest;
import com.datadog.api.client.v1.model.AWSLogsAsyncResponse;

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

    AWSAccountAndLambdaRequest body =
        new AWSAccountAndLambdaRequest()
            .accountId("1234567")
            .lambdaArn("arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest");

    try {
      AWSLogsAsyncResponse result = apiInstance.checkAWSLogsLambdaAsync(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling AwsLogsIntegrationApi#checkAWSLogsLambdaAsync");
      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
"""
Check that an AWS Lambda Function exists returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v1.api.aws_logs_integration_api import AWSLogsIntegrationApi
from datadog_api_client.v1.model.aws_account_and_lambda_request import AWSAccountAndLambdaRequest

body = AWSAccountAndLambdaRequest(
    account_id="1234567",
    lambda_arn="arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest",
)

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = AWSLogsIntegrationApi(api_client)
    response = api_instance.check_aws_logs_lambda_async(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
# Check that an AWS Lambda Function exists returns "OK" response

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

body = DatadogAPIClient::V1::AWSAccountAndLambdaRequest.new({
  account_id: "1234567",
  lambda_arn: "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest",
})
p api_instance.check_aws_logs_lambda_async(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
// Check that an AWS Lambda Function exists returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV1::api_aws_logs_integration::AWSLogsIntegrationAPI;
use datadog_api_client::datadogV1::model::AWSAccountAndLambdaRequest;

#[tokio::main]
async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.check_aws_logs_lambda_async(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="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
```
{% /tab %}

{% tab label="TypeScript" %}
```typescript
/**
 * Check that an AWS Lambda Function exists 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.AWSLogsIntegrationApi(configuration);

const params: v1.AWSLogsIntegrationApiCheckAWSLogsLambdaAsyncRequest = {
  body: {
    accountId: "1234567",
    lambdaArn:
      "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest",
  },
};

apiInstance
  .checkAWSLogsLambdaAsync(params)
  .then((data: v1.AWSLogsAsyncResponse) => {
    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>'
}

initialize(**options)

account_id = "<AWS_ACCOUNT_ID>"
lambda_arn = "arn:aws:lambda:<REGION>:<AWS_ACCOUNT_ID>:function:<FUNCTION_NAME>"

api.AwsLogsIntegration.check_lambda(account_id=account_id, lambda_arn=lambda_arn)
```

#### 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="<API-KEY>" DD_APP_KEY="<APP-KEY>" python "example.py"
```
{% /tab %}

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

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

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

config = {
    "account_id": '<AWS_ACCOUNT_ID>',
    "lambda_arn": 'arn:aws:lambda:<REGION>:<AWS_ACCOUNT_ID>:function:<LAMBDA_FUNCTION_NAME>'
  }

dog.aws_logs_check_lambda(config)
```

#### 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="<API-KEY>" DD_APP_KEY="<APP-KEY>" rb "example.rb"
```
{% /tab %}
{% /tabs %}