- 4.44.0 (latest)
- 4.43.0
- 4.42.0
- 4.41.0
- 4.40.0
- 4.39.0
- 4.38.0
- 4.37.0
- 4.36.0
- 4.34.0
- 4.33.0
- 4.32.0
- 4.31.0
- 4.30.0
- 4.29.0
- 4.28.0
- 4.27.0
- 4.26.0
- 4.25.0
- 4.24.0
- 4.21.0
- 4.20.0
- 4.19.0
- 4.18.0
- 4.17.0
- 4.16.0
- 4.15.0
- 4.14.0
- 4.13.0
- 4.12.0
- 4.11.0
- 4.10.0
- 4.9.0
- 4.8.0
- 4.6.0
- 4.5.0
- 4.4.0
- 4.3.0
- 4.2.0
- 4.1.0
- 4.0.8
- 3.1.2
- 3.0.3
- 2.3.1
google-cloud-dataproc overview (4.27.0)
Key Reference Links
is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.
Dataproc Product Reference | GitHub Repository (includes samples) | Maven artifact |
Getting Started
In order to use this library, you first need to go through the following steps:
- Install a JDK (Java Development Kit)
- Select or create a Cloud Platform project
- Enable billing for your project
- Enable the API
- Set up authentication
Use the Dataproc for Java
To ensure that your project uses compatible versions of the libraries
and their component artifacts, import com.google.cloud:libraries-bom
and use
the BOM to specify dependency versions. Be sure to remove any versions that you
set previously. For more information about
BOMs, see Google Cloud Platform Libraries BOM.
Which version should I use?
For this library, we recommend using API version v1 for new applications.
Each Cloud Java client library may contain multiple packages. Each package containing a version number in its name corresponds to a published version of the service.
We recommend using the latest stable version for new production applications, which can be identified by the largest numeric version that does not contain a suffix.
For example, if a client library has two packages: v1
and v2alpha
, then the latest stable version is v1
.
If you use an unstable release, breaking changes may be introduced when upgrading.
You can read more about Cloud API versioning strategy here.