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This library has moved to https://github.com/googleapis/google-cloud-java/tree/main/java-bigquerydatatransfer.

License: Apache License 2.0

java-bigquerydatatransfer's Introduction

Google BigQuery Data Transfer Service Client for Java

Java idiomatic client for BigQuery Data Transfer Service.

🚌 In October 2022, this library has moved to google-cloud-java/java-bigquerydatatransfer. This repository will be archived in the future. Future releases will appear in the new repository (https://github.com/googleapis/google-cloud-java/releases). The Maven artifact coordinates (com.google.cloud:google-cloud-bigquerydatatransfer) remain the same.

Quickstart

If you are using Maven with BOM, add this to your pom.xml file:

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.1.4</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-bigquerydatatransfer</artifactId>
  </dependency>

If you are using Maven without BOM, add this to your dependencies:

<dependency>
  <groupId>com.google.cloud</groupId>
  <artifactId>google-cloud-bigquerydatatransfer</artifactId>
  <version>2.3.17</version>
</dependency>

If you are using Gradle 5.x or later, add this to your dependencies:

implementation platform('com.google.cloud:libraries-bom:26.6.0')

implementation 'com.google.cloud:google-cloud-bigquerydatatransfer'

If you are using Gradle without BOM, add this to your dependencies:

implementation 'com.google.cloud:google-cloud-bigquerydatatransfer:2.10.0'

If you are using SBT, add this to your dependencies:

libraryDependencies += "com.google.cloud" % "google-cloud-bigquerydatatransfer" % "2.10.0"

Authentication

See the Authentication section in the base directory's README.

Authorization

The client application making API calls must be granted authorization scopes required for the desired BigQuery Data Transfer Service APIs, and the authenticated principal must have the IAM role(s) required to access GCP resources using the BigQuery Data Transfer Service API calls.

Getting Started

Prerequisites

You will need a Google Cloud Platform Console project with the BigQuery Data Transfer Service API enabled. You will need to enable billing to use Google BigQuery Data Transfer Service. Follow these instructions to get your project set up. You will also need to set up the local development environment by installing the Google Cloud SDK and running the following commands in command line: gcloud auth login and gcloud config set project [YOUR PROJECT ID].

Installation and setup

You'll need to obtain the google-cloud-bigquerydatatransfer library. See the Quickstart section to add google-cloud-bigquerydatatransfer as a dependency in your code.

About BigQuery Data Transfer Service

BigQuery Data Transfer Service transfers data from partner SaaS applications to Google BigQuery on a scheduled, managed basis.

See the BigQuery Data Transfer Service client library docs to learn how to use this BigQuery Data Transfer Service Client Library.

Samples

Samples are in the samples/ directory.

Sample	Source Code	Try it
Copy Dataset	source code
Create Ad Manager Transfer	source code
Create Ads Transfer	source code
Create Amazon S3 Transfer	source code
Create Campaignmanager Transfer	source code
Create Cloud Storage Transfer	source code
Create Play Transfer	source code
Create Redshift Transfer	source code
Create Scheduled Query	source code
Create Scheduled Query With Service Account	source code
Create Teradata Transfer	source code
Create Youtube Channel Transfer	source code
Create Youtube Content Owner Transfer	source code
Delete Scheduled Query	source code
Delete Transfer Config	source code
Disable Transfer Config	source code
Get Transfer Config Info	source code
List Transfer Configs	source code
Quickstart Sample	source code
Re Enable Transfer Config	source code
Run Details	source code
Run History	source code
Run Notification	source code
Schedule Back Fill	source code
Update Credentials	source code
Update Transfer Config	source code

Troubleshooting

To get help, follow the instructions in the shared Troubleshooting document.

Transport

BigQuery Data Transfer Service uses gRPC for the transport layer.

Supported Java Versions

Java 8 or above is required for using this client.

Google's Java client libraries, Google Cloud Client Libraries and Google Cloud API Libraries, follow the Oracle Java SE support roadmap (see the Oracle Java SE Product Releases section).

For new development

In general, new feature development occurs with support for the lowest Java LTS version covered by Oracle's Premier Support (which typically lasts 5 years from initial General Availability). If the minimum required JVM for a given library is changed, it is accompanied by a semver major release.

Java 11 and (in September 2021) Java 17 are the best choices for new development.

Keeping production systems current

Google tests its client libraries with all current LTS versions covered by Oracle's Extended Support (which typically lasts 8 years from initial General Availability).

Legacy support

Google's client libraries support legacy versions of Java runtimes with long term stable libraries that don't receive feature updates on a best efforts basis as it may not be possible to backport all patches.

Google provides updates on a best efforts basis to apps that continue to use Java 7, though apps might need to upgrade to current versions of the library that supports their JVM.

Where to find specific information

The latest versions and the supported Java versions are identified on the individual GitHub repository github.com/GoogleAPIs/java-SERVICENAME and on google-cloud-java.

Versioning

This library follows Semantic Versioning.

Contributing

Contributions to this library are always welcome and highly encouraged.

See CONTRIBUTING for more information how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See Code of Conduct for more information.