roy-m-organ/datadog-api-client-java

Java client for the Datadog API

datadog-api-client-java

This repository contains a Java API client for the Datadog API. The code is generated using openapi-generator and apigentools.

Datadog API Collection

• API version: 1.0

Collection of all Datadog Public endpoints.

For more information, please visit https://www.datadoghq.com/support/

Automatically generated by the OpenAPI Generator

Requirements

Building the API client library requires:

1. Java 1.8+
2. Maven/Gradle

Installation

To install the API client library to your local Maven repository, simply execute:

mvn clean install

To deploy it to a remote Maven repository instead, configure the settings of the repository and execute:

mvn clean deploy

Refer to the OSSRH Guide for more information.

Maven users

Add this dependency to your project's POM:

<dependency>
  <groupId>com.datadoghq</groupId>
  <artifactId>datadog-api-client</artifactId>
  <version>1.0.0</version>
  <scope>compile</scope>
</dependency>

Gradle users

Add this dependency to your project's build file:

compile "com.datadoghq:datadog-api-client:1.0.0"

Others

At first generate the JAR by executing:

mvn clean package

Then manually install the following JARs:

• target/datadog-api-client-1.0.0.jar
• target/lib/*.jar

Getting Started

Please follow the installation instruction and execute the following Java code:

import com.datadog.api.v1.client.*;
import com.datadog.api.v1.client.auth.*;
import com.datadog.api.v1.client.model.*;
import com.datadog.api.v1.client.api.AwsIntegrationApi;

public class AwsIntegrationApiExample {

    public static void main(String[] args) {
        ApiClient defaultClient = Configuration.getDefaultApiClient();

        // Configure the Datadog site to send API calls to
        HashMap<String, String> serverVariables = new HashMap<String, String>();
        String site = System.getenv("DD_SITE");
        if (site != null) {
            serverVariables.put("site", site);
            defaultClient.setServerVariables(serverVariables);
        }
        // Configure API key authorization: 
        HashMap<String, String> secrets = new HashMap<String, String>();
        secrets.put("apiKeyAuth", System.getenv("DD_CLIENT_API_KEY"));
        secrets.put("appKeyAuth", System.getenv("DD_CLIENT_APP_KEY"));
        defaultClient.configureApiKeys(secrets);

        AwsIntegrationApi apiInstance = new AwsIntegrationApi(defaultClient);
        AWSAccount body = new AWSAccount(); // AWSAccount | AWS request object
        try {
            AWSAccountCreateResponse result = apiInstance.createAWSAccount(body);
            System.out.println(result);
        } catch (ApiException e) {
            System.err.println("Exception when calling AwsIntegrationApi#createAWSAccount");
            System.err.println("Status code: " + e.getCode());
            System.err.println("Reason: " + e.getResponseBody());
            System.err.println("Response headers: " + e.getResponseHeaders());
            e.printStackTrace();
        }
    }
}

Unstable Endpoints

This client includes access to Datadog API endpoints while they are in an unstable state and may undergo breaking changes. An extra configuration step is required to enable these endpoints:

defaultClient.setUnstableOperationEnabled("<OperationName>", true);

where <OperationName> is the name of the method used to interact with that endpoint. For example: listLogIndexes, or getLogsIndex

Documentation for API Endpoints and Models

Documentation for API endpoints and models can be found under the api_docs directory.

Documentation for Authorization

Authentication schemes defined for the API:

apiKeyAuth

• Type: API key
• API key parameter name: api_key
• Location: URL query string

apiKeyAuthHeader

• Type: API key
• API key parameter name: DD-API-KEY
• Location: HTTP header

appKeyAuth

• Type: API key
• API key parameter name: application_key
• Location: URL query string

appKeyAuthHeader

• Type: API key
• API key parameter name: DD-APPLICATION-KEY
• Location: HTTP header

Recommendation

It's recommended to create an instance of ApiClient per thread in a multithreaded environment to avoid any potential issues.

Author

support@datadoghq.com