google/cloud-bigquerydatatransfer

BigQuery Data Transfer Client for PHP

v2.1.2 2024-12-12 21:15 UTC

Requires

• php: ^8.0
• google/gax: ^1.36.0

Requires (Dev)

• google/cloud-core: ^1.52.7
• phpunit/phpunit: ^9.0

Suggests

• ext-protobuf: Provides a significant increase in throughput over the pure PHP protobuf implementation. See https://cloud.google.com/php/grpc for installation instructions.

Apache-2.0

README

Idiomatic PHP client for Google Cloud BigQuery Data Transfer.

• API Documentation

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

Transfers data from partner SaaS applications to Google BigQuery on a scheduled, managed basis.

Installation

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

Now install this component:

$ composer require google/cloud-bigquerydatatransfer

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\BigQuery\DataTransfer\V1\DataTransferServiceClient;

$dataTransferServiceClient = new DataTransferServiceClient();
$projectId = '[MY_PROJECT_ID]';
$location = 'us-central1';
$formattedLocation = $dataTransferServiceClient->locationName($projectId, $location);
$dataSources = $dataTransferServiceClient->listDataSources($formattedLocation);

Debugging

Please see our Debugging guide for more information about the debugging tools.

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

1. Understand the official documentation.
2. Take a look at in-depth usage samples.