Dataproc Serverless for Spark runtime versions

Supported Dataproc Serverless for Spark runtime versions

Version	Last updated	Released on	Supported until	Available until	Notes
Spark runtime 2.3 LTS	2025/07/01	2025/05/28	2027/11/26	2029/11/26	General Availability release.
Spark runtime 2.2 LTS	2025/07/01	2024/03/27	2026/09/30	2028/09/30	General Availability release. This is the default version.
Spark runtime 1.2 LTS	2025/07/01	2024/03/27	2026/09/30	2028/09/30	General Availability release.
Spark runtime 1.1 LTS	2025/07/01	2023/01/27	2025/07/31	2027/07/31	General Availability release.

How to choose a Dataproc Serverless for Spark runtime version

The current default Dataproc Serverless runtime version is listed in Supported Dataproc Serverless for Spark runtime versions. You can choose a different major.minor runtime version when you submit a batch workload or create a interactive session or session template.

Unsupported Dataproc Serverless for Spark runtime versions

The following Dataproc Serverless versions are unsupported.

Version	Includes	Released On	Last Updated	Available Until	Notes
Spark runtime 2.1	Apache Spark 3.4.0 Cloud Storage connector 2.2.20 BigQuery connector 0.28.1 Java 17 Conda 23.3 Python 3.11 R 4.2 Scala 2.13	2022/01/19	2024/5/30	2026/08/28	Unsupported as of 2024/05/30. 2.1.50 was the final released version.
Spark runtime 2.0	Apache Spark 3.3.4 Cloud Storage connector 2.2.20 Java 17 Conda 22.9 Python 3.10 R 4.1 Scala 2.13	2022/10/21	2024/08/22	2026/08/28	Unsupported as of 2024/08/22. 2.0.84 was the final released version.
Spark runtime 1.0	Apache Spark 3.2.3 Cloud Storage connector 2.2.11 Conda 4.11 Java 11 Python 3.9 R 4.1 Scala 2.12.17	2022/01/19	2023/2/03	2025/05/30	Unsupported as of 2023/02/03. 1.0.29 was the final released version.