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.
To begin, install the preferred dependency manager for PHP, Composer.
Now to install just this component:
$ composer require google/cloud-dataproc
Or to install the entire suite of components at once:
$ composer require google/cloud
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.
Please see our Authentication guide for more information on authenticating your client. Once authenticated, you'll be ready to start making requests.
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);
This component is considered beta. As such, it should be expected to be mostly stable and we're working towards a release candidate. We will address issues and requests with a higher priority.
Take a look at and understand the official documentation.