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datadog-api-client-java

This repository contains a Java API client for the Datadog API.

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>2.10.0</version>
  <scope>compile</scope>
</dependency>

See the Releases page for the latest available version.

Gradle users

Add this dependency to your project's build file:

compile "com.datadoghq:datadog-api-client:2.0.0"

See the Releases page for the latest available version.

Others

At first generate the JAR by executing:

mvn clean package

Then manually install the following JARs:

  • target/datadog-api-client-<VERSION>.jar
  • target/lib/*.jar

Getting Started

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

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.MonitorsApi;
import com.datadog.api.client.v1.model.Monitor;
import com.datadog.api.client.v1.model.MonitorType;
import java.util.Arrays;

public class MonitorCreatedExample {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    MonitorsApi apiInstance = new MonitorsApi(defaultClient);

    Monitor body =
        new Monitor()
            .name("my-monitor")
            .type(MonitorType.LOG_ALERT)
            .query(
                """
logs("service:foo AND type:error").index("main").rollup("count").by("source").last("5m") > 2
""")
            .message("some message Notify: @hipchat-channel")
            .tags(Arrays.asList("test:example", "env:ci"))
            .priority(3L);

    try {
      Monitor result = apiInstance.createMonitor(body);
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling MonitorsApi#createMonitor");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Asynchronous support

All API methods have asynchronous versions returning CompletableFuture when adding the Async suffix to their names:

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.v1.api.MonitorsApi;

public class ListMonitorsAsyncExample {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    MonitorsApi apiInstance = new MonitorsApi(defaultClient);

    apiInstance.listMonitorsAsync().thenApply(monitors -> {
      System.out.println(monitors);
      return null;
    }).exceptionally(error -> {
      System.out.println(error);
      return null;
    });
  }
}

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("<Version>.<OperationName>", true);

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

Changing Server

When talking to a different server, like the eu instance, change the serverVariables on your client:

HashMap<String, String> serverVariables = new HashMap<String, String>();
serverVariables.put("site", "datadoghq.eu");
defaultApiClient.setServerVariables(serverVariables);

Disable compressed payloads

If you want to disable GZIP compressed responses, set the compress flag on your client:

defaultClient.setCompress(false)

Enable requests logging

If you want to enable requests logging, set the debugging flag on your client:

defaultClient.setDebugging(true)

Enable Retry

To enable the client to retry when rate limited (status 429) or status 500 and above:

defaultClient.enableRetry(true)

The interval between 2 retry attempts will be the value of the x-ratelimit-reset response header when available. If not, it will be : Math.pow (multiplier_for_retry_backoff, current_retry_count)*base_for_retry_backoff.

Configure proxy

You can provide custom connectorProvider implementation to clientConfig to use proxy. See example below using ApacheConnectorProvider:

import org.glassfish.jersey.apache.connector.ApacheConnectorProvider;
import org.glassfish.jersey.client.ClientConfig;
import org.glassfish.jersey.client.ClientProperties;

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v1.api.DashboardsApi;
import com.datadog.api.client.v1.model.DashboardSummary;

public class ProxyExample {
  public static void main( String[] args ) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    ClientConfig clientConfig = defaultClient.getClientConfig().connectorProvider(new ApacheConnectorProvider());
    clientConfig.property(ClientProperties.PROXY_URI, "http://127.0.0.1:80");
    defaultClient.setClientConfig(clientConfig);

    DashboardsApi apiInstance = new DashboardsApi(defaultClient);
    try {
      DashboardSummary result =
          apiInstance.listDashboards();
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println("Exception when calling DashboardsApi#listDashboards");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}

Using alternative artifacts

Outside of the regular JAR file we also release 2 artifacts that can be useful for development, namely:

  • jar-with-dependencies, which contains all the dependencies of the client in a single JAR
  • shaded-jar, which includes and renames the core dependencies of the client, allowing you to use different versions of those libraries in your project.

To use them in Maven, just add the classifier keyword in the dependency definition. For example:

<dependency>
  <groupId>com.datadoghq</groupId>
  <artifactId>datadog-api-client</artifactId>
  <version>2.10.0</version>
  <classifier>shaded-jar</classifier>
  <scope>compile</scope>
</dependency>

Documentation for API Endpoints and Models

Javadoc is available on javadoc.io.

Documentation for Authorization

To programmatically defined authorization headers, calls the configureApiKeys method with a map containing the required secrets for the operations:

HashMap<String, String> secrets = new HashMap<>();
secrets.put("apiKeyAuth", "<YOUR API KEY>");
secrets.put("appKeyAuth", "<YOUR APPLICATION KEY>");
generalApiClient.configureApiKeys(secrets);

Recommendation

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

Author

[email protected]

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Java client for the Datadog API

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