Google Cloud Dataproc for PHP

Idiomatic PHP client for Google Cloud Dataproc.

NOTE: This repository is part of Google Cloud PHP. Any support requests, bug reports, or development contributions should be directed to that project.

A managed Apache Spark and Apache Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. Cloud Dataproc automation helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them. With less time and money spent on administration, you can focus on your jobs and your data.

Installation

To begin, install the preferred dependency manager for PHP, Composer.

Now install this component:

$ composer require google/cloud-dataproc

This component supports both REST over HTTP/1.1 and gRPC. In order to take advantage of the benefits offered by gRPC (such as streaming methods) please see our gRPC installation guide.

Authentication

Please see our Authentication guide for more information on authenticating your client. Once authenticated, you'll be ready to start making requests.

Sample

require 'vendor/autoload.php';

use Google\Cloud\Dataproc\V1\JobControllerClient;
use Google\Cloud\Dataproc\V1\Job;
use Google\Cloud\Dataproc\V1\HadoopJob;
use Google\Cloud\Dataproc\V1\JobPlacement;

$projectId = '[MY_PROJECT_ID]';
$region = 'global';
$clusterName = '[MY_CLUSTER]';

$jobPlacement = new JobPlacement();
$jobPlacement->setClusterName($clusterName);

$hadoopJob = new HadoopJob();
$hadoopJob->setMainJarFileUri('gs://my-bucket/my-hadoop-job.jar');

$job = new Job();
$job->setPlacement($jobPlacement);
$job->setHadoopJob($hadoopJob);

$jobControllerClient = new JobControllerClient();
$submittedJob = $jobControllerClient->submitJob($projectId, $region, $job);

Version

This component is considered GA (generally available). As such, it will not introduce backwards-incompatible changes in any minor or patch releases. We will address issues and requests with the highest priority.

Next Steps

Take a look at and understand the official documentation.