Managed Service for Apache Spark release notes

New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions:

• 1.2.86
• 2.2.86
• 2.3.39

Key updates in these runtime versions include:

• OpenLineage updates: In the 2.3 runtime:
  • Upgraded OpenLineage to version 1.49 to support lineage for tables created using the Lakehouse Runtime catalog.
  • Fixed a segmentation fault when OpenLineage parses complex SQL query strings.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine):

A critical bug related to Conda channels has been fixed in-place in image versions 1.4.81, 1.5.92, 2.1.117, and 2.2.85. These image versions were released without pre-configured Conda channels.

Required customer actions: To comply with Google requirements, recreate the following resources if they were created using these image versions on or before August 10, 2026:

• Custom images
• Clusters

New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions:

• 1.2.85
• 2.2.85
• 2.3.38

Notes:

• Apache Spark upgraded to 3.5.3 in 2.2 runtime.

• Apache Gluten upgraded to 1.6 in 2.3 runtime.

Managed Service for Apache Spark latest image and runtime versions:

• Configured spark.scheduler.listenerbus.exitTimeout to 30s.

New Managed Service for Apache Spark on Google Kubernetes Engine (formerly Dataproc on Google Kubernetes Engine) subminor image version:

• 3.5-dataproc-28

Key updates in this image version include:

• Conda channels: The new 3.5-dataproc-28 subminor image version doesn't have preconfigured Conda channels, and is mapped to default aliases (such as 3.5 and latest).
  • Impact: When creating clusters with 3.5-dataproc-28 or using default aliases (3.5, latest), packages cannot be installed using Conda unless channels are manually configured during cluster initialization.
  • Mitigation: If your workloads require preconfigured Conda channels, pin your clusters to the previous image versions before August 25, 2026.
  • Default change schedule: All workloads must transition to image versions without preconfigured Conda channels after August 25, 2026 since the use of prior subminor versions with preconfigured Conda channels will be disallowed.

You may need to delete and replace existing clusters After August 25, 2026, existing clusters created with images that have preconfigured Conda channels (even if cluster jobs don't use Conda to install packages) need to be deleted and replaced with new clusters created or recreated with images that don't have preconfigured Conda channels.

Starting with Managed Service for Apache Spark image version 3.0, clusters that are created without a specified machine type for a node are created with a Flex VM configuration for the node.

Announcing the General Availability (GA) release of Managed Service for Apache Spark cluster image version 3.0, as follows:

• 3.0.0-debian13, 3.0.0-ml-ubuntu24, 3.0.0-rocky9, and 3.0.0-ubuntu24.

  • The 3.0.0-ml-ubuntu24 image extends the 3.0 base image with ML-specific libraries.

Image version 3.0 is a lightweight image that contains the following pre-installed core components, reducing exposure to Common Vulnerabilities and Exposures (CVEs):

• Apache Hadoop 3.5.0.
• Apache Hive 4.2.0
• Apache Spark 4.1.2
• Apache Tez 0.10.5
• Cloud Storage Connector 3.1.13
• Conscrypt 2.6
• Java 21
• Python 3.12
• R 4.5
• Scala 2.13.17
• Spark-BigQuery Connector 0.44.1-preview

You can add listed optional components when you create a 3.0 image version cluster.

Recommendation: Use the 3.0 (and later) image versions to meet security compliance requirements.

New Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions:

• 2.3.34-debian12, 2.3.34-ml-ubuntu22, 2.3.34-rocky9, 2.3.34-ubuntu22, 2.3.34-ubuntu22-arm
• 3.0.0-debian13, 3.0.0-ml-ubuntu24, 3.0.0-rocky9, 3.0.0-ubuntu24

Managed Service for Apache Spark (formerly Dataproc on Compute Engine):

• The 2.1, 2.2 and 2.3 cluster image versions now support Confidential Compute for the g4-standard-48 GPU machine type.

Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark):

• The 3.0 runtime now uses fewer executors, as follows:

  • 0 min executors for spark.dynamicAllocation.minExecutors property
  • 1 min executor for spark.executor.instances and spark.dynamicAllocation.initialExecutors properties

• All runtimes now configure spark.scheduler.listenerbus.exitTimeout to 30 seconds.

New Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions:

• 2.1.117-debian11, 2.1.117-rocky8, 2.1.117-ubuntu20, 2.1.117-ubuntu20-arm
• 2.2.85-debian12, 2.2.85-rocky9, 2.2.85-ubuntu22, 2.2.85-ubuntu22-arm
• 2.3.33-debian12, 2.3.33-ml-ubuntu22, 2.3.33-rocky9, 2.3.33-ubuntu22, 2.3.33-ubuntu22-arm

Key updates in these image versions include:

• Conda channels: The new 2.1.117 and 2.2.85 subminor image versions don't have preconfigured Conda channels, and are not mapped to default aliases (such as 2.1-debian11 and 2.2-debian12) until August 25, 2026.
  • Impact: When creating clusters with these image versions, specify the exact subminor version (for example, 2.1.117-debian11 or 2.2.85-debian12). Packages cannot be installed using Conda unless channels are manually configured during cluster initialization.
  • Mitigation: If your workloads require preconfigured Conda channels or default aliases, pin your clusters to the previous image versions (for example, 2.1.116-debian11 or 2.2.84-debian12).
  • Default change schedule: After August 25, 2026, the default aliases for 2.1 and 2.2 will point to image versions without preconfigured Conda channels (the latest subminor versions). All workloads must transition to these new images after August 25, 2026 since the use of prior subminor versions with preconfigured Conda channels will be disallowed.

You may need to delete and replace existing clusters After August 25, 2026, existing clusters created with images that have preconfigured Conda channels (even if cluster jobs don't use Conda to install packages) need to be deleted and replaced with new clusters created or recreated with images that don't have preconfigured Conda channels.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): The following new subminor image versions, 1.3.96, 1.4.81, 1.5.92, 2.0.161, and 2.3.32, don't have preconfigured Conda channels, and are not mapped to default aliases (such as 2.3-debian12 and 2.3-ubuntu22) until August 25, 2026. The new 2.1 and 2.2 subminor images continue to have preconfigured Conda channels, but note the following Default change schedule:, which will impact all supported image versions.

• Impact: When creating clusters with these image versions, specify the exact subminor version (for example, 2.3.32-debian12). Packages cannot be installed using Conda unless channels are manually configured during cluster initialization.
• Mitigation: If your workloads require preconfigured Conda channels or default aliases, pin your clusters to the previous image versions.
• Default change schedule: The subminor versions 1.3.96, 1.4.81, 1.5.92, and 2.0.161 will become default after August 25, 2026. Additionally, newer subminor versions for 2.1, 2.2, and 2.3 released after August 25, 2026 will not have preconfigured Conda channels and will be mapped to default aliases. All workloads must use new images after August 25, 2026 since the use of prior subminor versions with preconfigured Conda channels will be disallowed.

You may need to delete and replace existing clusters After August 25, 2026, existing clusters created with images that have preconfigured Conda channels (even if cluster jobs don't use Conda to install packages) need to be deleted and replaced with new clusters created or recreated with images that don't have preconfigured Conda channels.

New Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions:

• 1.3.96-debian10, 1.3.96-ubuntu18
• 1.4.81-debian10, 1.4.81-ubuntu18
• 1.5.92-debian10, 1.5.92-rocky8, 1.5.92-ubuntu18
• 2.0.161-debian10, 2.0.161-rocky8, 2.0.161-ubuntu18
• 2.1.115-debian11, 2.1.115-rocky8, 2.1.115-ubuntu20, 2.1.115-ubuntu20-arm
• 2.1.116-debian11, 2.1.116-rocky8, 2.1.116-ubuntu20, 2.1.116-ubuntu20-arm
• 2.2.83-debian12, 2.2.83-rocky9, 2.2.83-ubuntu22, 2.2.83-ubuntu22-arm
• 2.2.84-debian12, 2.2.84-rocky9, 2.2.84-ubuntu22, 2.2.84-ubuntu22-arm
• 2.3.31-debian12, 2.3.31-ml-ubuntu22, 2.3.31-rocky9, 2.3.31-ubuntu22, 2.3.31-ubuntu22-arm
• 2.3.32-debian12, 2.3.32-ml-ubuntu22, 2.3.32-rocky9, 2.3.32-ubuntu22, 2.3.32-ubuntu22-arm

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): Key updates in these image versions include:

• Iceberg support: Added support for Iceberg 1.10 in Dataproc 2.3 images. This change only applies to 2.3 clusters created with the ICEBERG optional component. Users can opt-in to Iceberg 1.10 by setting the dataproc:dataproc.iceberg.version cluster property to 1.10 during cluster creation.
• Spark optimizations: Enabled Spark skewed-join and self-join optimizations by default in new GCE image versions.
• Scheduler exitTimeout: Configured spark.scheduler.listenerbus.exitTimeout to 30s for Compute Engine deployments.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): Rollout of the new sub-minor versions without pre-configured channels will begin on June 22, 2026, delayed from the previously planned date of June 15, 2026 ETA.

New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions:

• 1.2.82
• 2.2.82
• 2.3.35

Key updates in these runtime versions include:

• Spark optimizations: Enabled Spark skewed-join and self-join optimizations by default.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): Added support for selecting specific Confidential Computing technologies (AMD SEV, AMD SEV-SNP, Intel TDX) when creating clusters using the new --confidential-compute-type flag in gcloud and the confidentialInstanceType field in the API. The boolean --enable-confidential-compute flag is now deprecated but will continue to function, defaulting to AMD SEV for backward compatibility.

• Introduced confidentialInstanceType enum in the API.
• The --enable-confidential-compute flag and enableConfidentialCompute field are deprecated in favor of the new type-specific flag/field.
• Clusters created with the deprecated boolean flag will default to SEV.
• Added validation for machine type compatibility for SEV, SEV-SNP, and TDX.
• Updated live migration logic to support compatible machine types and CPU platforms for each technology, including N2D and C3D for SEV.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): The following subminor image versions announced on May 19, 2026 have been rolled back:

• 2.2.82-debian12, 2.2.82-rocky9, 2.2.82-ubuntu22, 2.2.82-ubuntu22-arm

New Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions:

• 2.1.114-debian11, 2.1.114-rocky8, 2.1.114-ubuntu20, 2.1.114-ubuntu20-arm
• 2.2.82-debian12, 2.2.82-rocky9, 2.2.82-ubuntu22, 2.2.82-ubuntu22-arm
• 2.3.30-debian12, 2.3.30-ml-ubuntu22, 2.3.30-rocky9, 2.3.30-ubuntu22, 2.3.30-ubuntu22-arm

Rollback Notice: The 2.2.82 image versions were rolled back on May 25, 2026.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): The configuration for Spark shuffle partitions (spark.sql.shuffle.partitions) has changed from an integer to a string type.

This change impacts image versions 2.3.30 and later in version 2.3, and 2.2.82 and later in version 2.2.

• Impact: This change only affects users who are programmatically setting the configuration in code using spark.conf.set() with an integer literal.
  • Impacted example: spark.conf.set("spark.sql.shuffle.partitions", 100)
• User action: Update your code to pass a string literal instead of an integer.
  • Example fix: spark.conf.set("spark.sql.shuffle.partitions", "100")
• Not impacted: Setting the configuration via command-line arguments (e.g., spark-submit --conf spark.sql.shuffle.partitions=100), properties files, or Spark SQL commands (spark.sql("SET spark.sql.shuffle.partitions=100")) remains unaffected, as these methods naturally parse the input as strings.

New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions:

• 1.2.80
• 2.2.80
• 2.3.33

New Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions for 3.0 (Preview):

• 3.0.0-RC2-debian13, 3.0.0-RC2-ml-ubuntu24, 3.0.0-RC2-rocky9, 3.0.0-RC2-ubuntu24

Key updates in this release:

• The debian image for 3.0 is upgraded to Debian 13.
• The default Java runtime is upgraded to Java 21.
• Apache Hadoop upgraded to 3.5.0.
• Apache Spark upgraded to 4.1.1.
• Apache Hive upgraded to 4.2.0.
• Trino upgraded to 480.
• Apache Solr upgraded to 9.10.1.
• Apache Kafka upgraded to 3.9.2.
• Docker upgraded to 28.1.
• Apache Flink upgraded to 2.2.0.
• Scala upgraded to 2.13.17.
• Cloud Storage Connector upgraded to 3.1.13.
• Apache Zookeeper upgraded to 3.9.5.
• BigQuery Connector upgraded to 0.44.1-Preview.
• Zeppelin Notebook upgraded to 0.12.0.
• JupyterLab upgraded to 4.5.7.
• Pixi is used as python package manager instead of conda.

New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions:

• 1.2.79
• 2.2.79
• 2.3.32

Key updates in this release:

• Upgraded Metastore Proxy version to v0.0.79.
• Upgraded Spark RAPIDS to version 26.04.0 version in the Managed Service for Apache Spark version 3.0 serverless runtime.

New Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions:

• 2.1.113-debian11, 2.1.113-rocky8, 2.1.113-ubuntu20, 2.1.113-ubuntu20-arm
• 2.2.81-debian12, 2.2.81-rocky9, 2.2.81-ubuntu22, 2.2.81-ubuntu22-arm
• 2.3.29-debian12, 2.3.29-ml-ubuntu22, 2.3.29-rocky9, 2.3.29-ubuntu22, 2.3.29-ubuntu22-arm

Key updates in this release:

• The native runtime engine is now supported on base Ubuntu cluster images starting from image version 2.3.29-ubuntu22 (not supported on Arm and ML images).

Managed Service for Apache Spark (formerly Dataproc on Compute Engine): Announcing the following cluster features:

• Flexible VMs: Minimize stockouts and improve machine obtainability by defining prioritized lists for your master, primary, and secondary worker VM types. Managed Spark for Apache Spark utilizes these lists to create your cluster, and selects the optimal VM type based on current capacity, quotas, and existing reservations.
• Cluster Scheduled Stop: Optimize cost and maintain your cluster configuration by stopping clusters after a specified idle period, at a specified future time, or after a specified period from cluster creation or a cluster update request. All custom cluster configurations are restored once you restart the cluster.
• Zero-scale clusters: Reduce costs by creating only secondary workers, scaling them down to zero when they are not in use.

New Managed Service for Apache Spark (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions:

• 1.2.78
• 2.2.78
• 2.3.31

Dataproc and Google Cloud Serverless for Apache Spark are now unified in the Google Cloud console under the Managed Service for Apache Spark brand. This change consolidates our managed Spark deployment options into a single umbrella brand that includes the full breadth of our Spark capabilities. No existing functionality is being removed as part of this change, and there will be no impact to the Dataproc API, client library, gcloud CLI, or Dataproc IAM role and permission names.

Managed Service for Apache Spark (formerly Dataproc on Compute Engine) subminor cluster image versions:

• 2.3.28-debian12, 2.3.28-ml-ubuntu22, 2.3.28-rocky9, 2.3.28-ubuntu22, 2.3.28-ubuntu22-arm

• Managed Service for Apache Spark (formerly Dataproc on Compute Engine): Upgraded Apache Zookeeper to version 3.9.5 in image version 2.3.

• Upgraded Dataproc Metastore Proxy to v0.0.79 to fix CVEs.
• Fixed CVEs CVE-2026-24308 and CVE-2026-24281.

New Serverless for Apache Spark runtime versions:

• 1.2.77
• 2.2.77
• 2.3.30
• 3.0.13

New Dataproc on Compute Engine subminor image versions:

• 2.1.112-debian11, 2.1.112-rocky8, 2.1.112-ubuntu20, 2.1.112-ubuntu20-arm
• 2.2.80-debian12, 2.2.80-rocky9, 2.2.80-ubuntu22, 2.2.80-ubuntu22-arm
• 2.3.27-debian12, 2.3.27-ml-ubuntu22, 2.3.27-rocky9, 2.3.27-ubuntu22, 2.3.27-ubuntu22-arm

New Serverless for Apache Spark runtime versions:

• 1.2.76
• 2.2.76
• 2.3.29
• 3.0.12

New Dataproc on Compute Engine subminor image versions:

• 2.1.111-debian11, 2.1.111-rocky8, 2.1.111-ubuntu20, 2.1.111-ubuntu20-arm
• 2.2.79-debian12, 2.2.79-rocky9, 2.2.79-ubuntu22, 2.2.79-ubuntu22-arm
• 2.3.26-debian12, 2.3.26-ml-ubuntu22, 2.3.26-rocky9, 2.3.26-ubuntu22, 2.3.26-ubuntu22-arm

• Fixed CVEs CVE-2025-58057, CVE-2025-53864, CVE-2025-68161, CVE-2025-48924, and CVE-2025-33042.
• Upgraded Dataproc Metastore Proxy to v0.0.78 to fix CVEs.
• Default JDK is set to Temurin JDK - 11.0.30 in all 2.1, 2.2 and 2.3 images.

New Serverless for Apache Spark runtime versions:

• 1.2.75
• 2.2.75
• 2.3.28
• 3.0.11

Dataproc on Compute Engine: The following subminor image versions announced on March 08, 2026 have been rolled back:

• 2.1.110-debian11, 2.1.110-rocky8, 2.1.110-ubuntu20, 2.1.110-ubuntu20-arm
• 2.2.78-debian12, 2.2.78-rocky9, 2.2.78-ubuntu22, 2.2.78-ubuntu22-arm
• 2.3.25-debian12, 2.3.25-ml-ubuntu22, 2.3.25-rocky9, 2.3.25-ubuntu22, 2.3.25-ubuntu22-arm

New Dataproc on Compute Engine subminor image versions:

• 2.1.110-debian11, 2.1.110-rocky8, 2.1.110-ubuntu20, 2.1.110-ubuntu20-arm
• 2.2.78-debian12, 2.2.78-rocky9, 2.2.78-ubuntu22, 2.2.78-ubuntu22-arm
• 2.3.25-debian12, 2.3.25-ml-ubuntu22, 2.3.25-rocky9, 2.3.25-ubuntu22, 2.3.25-ubuntu22-arm

Rollback Notice: These image versions were rolled back on March 11, 2026.

• Fixed CVEs CVE-2025-58057, CVE-2025-53864, CVE-2025-68161, CVE-2025-48924 (partial), and CVE-2025-33042.
• Upgraded Dataproc Metastore Proxy to v0.0.78 to fix CVEs.

New Serverless for Apache Spark runtime versions:

• 1.2.74
• 2.2.74
• 2.3.27
• 3.0.10

Serverless for Apache Spark 3.0 runtime version:

• Updated Spark version to 4.0.1.
• Updated BigQuery Spark Connector version to 0.44.0.
• Applied patch for SPARK-52601.
• Applied patch for SPARK-52614.

Serverless for Apache Spark 1.2, 2.2 and 2.3 runtime versions:

• Updated Delta Lake version to 3.2.1.

New Serverless for Apache Spark runtime versions:

• 1.2.73
• 2.2.73
• 2.3.26

New Serverless for Apache Spark runtime versions:

• 1.2.72
• 2.2.72
• 2.3.25
• 3.0.9

New Dataproc on Compute Engine subminor image versions:

• 2.0.160-debian10, 2.0.160-rocky8, 2.0.160-ubuntu18
• 2.1.109-debian11, 2.1.109-rocky8, 2.1.109-ubuntu20, 2.1.109-ubuntu20-arm
• 2.2.77-debian12, 2.2.77-rocky9, 2.2.77-ubuntu22, 2.2.77-ubuntu22-arm
• 2.3.24-debian12, 2.3.24-ml-ubuntu22, 2.3.24-rocky9, 2.3.24-ubuntu22, 2.3.24-ubuntu22-arm

Fixed an issue that could cause gsutil failures on clusters using custom images built from new base images. This problem occurred when the gcloud core/universe_domain property was not set in the build environment, resulting in a malformed /etc/boto.cfg. The image build process now ensures a correct default configuration, restoring proper Google Cloud Storage connectivity.

New Serverless for Apache Spark runtime versions:

• 1.2.71
• 2.2.71
• 2.3.24
• 3.0.8

Hyperdisks can now be added to a Dataproc cluster.

New Dataproc on Compute Engine subminor image versions:

• 2.0.159-debian10, 2.0.159-rocky8, 2.0.159-ubuntu18
• 2.1.108-debian11, 2.1.108-rocky8, 2.1.108-ubuntu20, 2.1.108-ubuntu20-arm
• 2.2.76-debian12, 2.2.76-rocky9, 2.2.76-ubuntu22, 2.2.76-ubuntu22-arm
• 2.3.23-debian12, 2.3.23-ml-ubuntu22, 2.3.23-rocky9, 2.3.23-ubuntu22, 2.3.23-ubuntu22-arm

New Serverless for Apache Spark runtime versions:

• 1.2.70
• 2.2.70
• 2.3.23
• 3.0.7

New Serverless for Apache Spark runtime versions:

• 1.2.69
• 2.2.69
• 2.3.22
• 3.0.5

Serverless for Apache Spark: Added support for removing conscrypt from Serverless for Apache Spark 2.3+ runtimes using the dataproc.artifacts.remove property .

Dataproc on Compute Engine: Sharing snapshot diagnostic data: Setting the --tarball-access=GOOGLE_DATAPROC_DIAGNOSE flag with the gcloud dataproc clusters diagnose command shares all of the output Cloud Storage bucket contents with Google Cloud support if uniform bucket-level access is enabled on the output Cloud Storage bucket. If object-level access control is enabled on the output Cloud Storage bucket, only the generated diagnostic tar file is shared.

New Dataproc on Compute Engine subminor image versions:

• 2.0.158-debian10, 2.0.158-ubuntu18, 2.0.158-rocky8
• 2.1.107-debian11, 2.1.107-ubuntu20, 2.1.107-ubuntu20-arm, 2.1.107-rocky8
• 2.2.75-debian12, 2.2.75-ubuntu22, 2.2.75-ubuntu22-arm, 2.2.75-rocky9
• 2.3.22-debian12, 2.3.22-ml-ubuntu22, 2.3.22-rocky9, 2.3.22-ubuntu22, 2.3.22-ubuntu22-arm

Zookeeper version upgraded to 3.9.4 in Dataproc image 2.3.22.

Parquet CLI version upgraded to 1.15.2 in 2.1 and 2.2 images.

Delta subminor version upgraded to 3.2.1 in Dataproc on Compute Engine image 2.2 and 2.3.

Apache Pig is now available in ARM images.

Added a new dataproc:pypi.repository property to customize the PyPI repository used for pip. The value can be a URL, or google to use a Google-hosted cache of PyPI, accessible without public internet connectivity. Starting in image version 3.1, google will be the default; to opt out and return to public PyPI, use the value pypi.

Removed use of deprecated Hadoop configuration properties fs.default.name and yarn.resourcemanager.system-metrics-publisher.enabled.

Fixed a bug in the ARM image that prevented connecting to a Dataproc Metastore instance with a gRPC protocol endpoint.

Fixed the spark.driver.extraClassPath delimiter for the Jupyter SparkMonitor Listener.

Upcoming Spark data lineage changes See the upcoming May, 2026 Dataproc and Serverless for Apache Spark release notes for an announcement of a change that will automatically enable Dataproc Spark data lineage and Serverless for Apache Spark data lineage when you enable the Data Lineage API (see Control lineage ingestion for a service) without requiring additional project, cluster, batch workload, or interactive session settings.

New Serverless for Apache Spark runtime versions:

• 3.0.4

Dataproc on Compute Engine: The following subminor image versions announced on January 24, 2026 have been rolled back:

• 2.0.157-debian10, 2.0.157-ubuntu18, 2.0.157-rocky8
• 2.1.106-debian11, 2.1.106-ubuntu20, 2.1.106-ubuntu20-arm, 2.1.106-rocky8
• 2.2.74-debian12, 2.2.74-ubuntu22, 2.2.74-ubuntu22-arm, 2.2.74-rocky9
• 2.3.21-debian12, 2.3.21-ml-ubuntu22, 2.3.21-rocky9, 2.3.21-ubuntu22, 2.3.21-ubuntu22-arm

New Dataproc on Compute Engine subminor image versions:

• 2.0.157-debian10, 2.0.157-ubuntu18, 2.0.157-rocky8
• 2.1.106-debian11, 2.1.106-ubuntu20, 2.1.106-ubuntu20-arm, 2.1.106-rocky8
• 2.2.74-debian12, 2.2.74-ubuntu22, 2.2.74-ubuntu22-arm, 2.2.74-rocky9
• 2.3.21-debian12, 2.3.21-ml-ubuntu22, 2.3.21-rocky9, 2.3.21-ubuntu22, 2.3.21-ubuntu22-arm

Rollback Notice: These image versions were rolled back on January 30, 2026.

Upgraded the Delta subminor version to 3.2.1 in images 2.2 and 2.3.

Apache Pig is now available in ARM images.

Added a new dataproc:pypi.repository property to customize the PyPI repository that pip uses. The value can be a internet-accessible URL, or you can specify google to use a Google-hosted cache of PyPI, which is accessible without public internet connectivity. Starting with Managed Service for Apache Spark image version 3.1, google will be the default (you can specify the pypi property value to use public PyPI instead of the default google 3.1 value).

Removed the use of deprecated Hadoop configuration properties fs.default.name and yarn.resourcemanager.system-metrics-publisher.enabled.

Fixed a bug in the ARM image that prevented connecting to a Dataproc Metastore instance with a gRPC protocol endpoint.

Fixed the spark.driver.extraClassPath delimiter for the Jupyter SparkMonitor Listener.

New Serverless for Apache Spark runtime versions:

• 1.2.67
• 2.2.67
• 2.3.20
• 3.0.3

• Applied patch for SPARK-48292 in Serverless for Apache Spark 1.2 and 2.2 runtimes.

Dataproc on Compute Engine: The following subminor image versions announced on January 06, 2026 have been rolled back:

• 2.0.156-debian10, 2.0.156-ubuntu18, 2.0.156-rocky8
• 2.1.105-debian11, 2.1.105-ubuntu20, 2.1.105-ubuntu20-arm, 2.1.105-rocky8
• 2.2.73-debian12, 2.2.73-ubuntu22, 2.2.73-ubuntu22-arm, 2.2.73-rocky9
• 2.3.20-debian12, 2.3.20-ml-ubuntu22, 2.3.20-rocky9, 2.3.20-ubuntu22, 2.3.20-ubuntu22-arm

New Serverless for Apache Spark runtime versions:

• 1.2.66
• 2.2.66
• 2.3.19
• 3.0.1

New Dataproc on Compute Engine subminor image versions:

• 2.0.156-debian10, 2.0.156-ubuntu18, 2.0.156-rocky8
• 2.1.105-debian11, 2.1.105-ubuntu20, 2.1.105-ubuntu20-arm, 2.1.105-rocky8
• 2.2.73-debian12, 2.2.73-ubuntu22, 2.2.73-ubuntu22-arm, 2.2.73-rocky9
• 2.3.20-debian12, 2.3.20-ml-ubuntu22, 2.3.20-rocky9, 2.3.20-ubuntu22, 2.3.20-ubuntu22-arm

Rollback Notice: These image versions were rolled back on January 13, 2026.

Added a new property dataproc:pypi.repository to customize the PyPI repository used for pip. The value can be a URL, or google to use a Google-hosted cache of PyPI, accessible without public internet connectivity. Starting in image version 3.1, google will be the default; to opt out and return to public PyPI, use the value pypi.

Removed use of deprecated Hadoop configuration properties fs.default.name and yarn.resourcemanager.system-metrics-publisher.enabled.

Fixed the spark.driver.extraClassPath delimiter for the Jupyter SparkMonitor Listener.

New Serverless for Apache Spark runtime versions:

• 1.2.65
• 2.2.65
• 2.3.18

The following Dataproc on Compute Engine subminor image versions, released on December 05, 2025, are now blocklisted:

• 2.2.72-debian12, 2.2.72-ubuntu22, 2.2.72-ubuntu22-arm, 2.2.72-rocky9
• 2.3.19-debian12, 2.3.19-ubuntu22, 2.3.19-ubuntu22-arm, 2.3.19-ml-ubuntu22, 2.3.19-rocky9

New Dataproc on Compute Engine subminor image versions:

• 2.0.155-debian10, 2.0.155-ubuntu18, 2.0.155-rocky8
• 2.1.104-debian11, 2.1.104-ubuntu20, 2.1.104-ubuntu20-arm, 2.1.104-rocky8
• 2.2.72-debian12, 2.2.72-ubuntu22, 2.2.72-ubuntu22-arm, 2.2.72-rocky9
• 2.3.19-debian12, 2.3.19-ubuntu22, 2.3.19-ubuntu22-arm, 2.3.19-ml-ubuntu22, 2.3.19-rocky9

dataproc-ml is available by default in 2.3 -ml images.

Serverless for Apache Spark: Runtime version 3.0 is now generally available. This version simplifies onboarding, improves reliability, reduces startup latency, and adds support for Spark 4.0.

• Features and improvements:

  • Regional and multi-zonal workloads are used by default to increase obtainability of compute resources
  • Faster startup than previous runtimes
  • Fast resource cleanup that allows faster release of VPC IPs after workload completion
  • End-user credentials are used for all workloads by default
  • New bigquery Spark catalog, pre-configured for out-of-the-box BigQuery native table interactions
  • New Spark Serverless-specific IAM roles
  • New dataproc-rm.googleapis.com API enablement is required

New Dataproc on Compute Engine subminor image versions:

• 2.0.154-debian10, 2.0.154-ubuntu18, 2.0.154-rocky8
• 2.1.103-debian11, 2.1.103-ubuntu20, 2.1.103-ubuntu20-arm, 2.1.103-rocky8
• 2.2.71-debian12, 2.2.71-ubuntu22, 2.2.71-ubuntu22-arm, 2.2.71-rocky9
• 2.3.18-debian12, 2.3.18-ubuntu22, 2.3.18-ubuntu22-arm, 2.3.18-ml-ubuntu22, 2.3.18-rocky9

Dataproc on Compute Engine: Updated Cloud Storage connector:

• Updated to 3.1.10 in image version 2.3.18.
• Updated to 3.0.15 in image version 2.2.71.
• Updated to hadoop3-2.2.30 in image versions 2.1.103 and 2.0.154.

New Serverless for Apache Spark runtime versions:

• 1.2.62
• 2.2.62
• 2.3.15

Serverless for Apache Spark: Added the dataproc.artifacts.remove property, which lets users remove default artifacts, such as spark-bigquery-connector, iceberg, and delta-lake from a Serverless for Apache Spark runtime.

Serverless for Apache Spark: Apache Spark upgrade to version 3.5.3 for the 1.2 and 2.2 Serverless for Apache Spark runtime versions announced on October 13, 2025 has been rolled back.

Dataproc on Compute Engine subminor image version 2.3.16, announced on October 20, 2025 has been blocklisted and cannot be used when creating a new cluster.

New Dataproc on Compute Engine subminor image versions:

• 2.0.153-debian10, 2.0.153-ubuntu18, 2.0.153-rocky8
• 2.1.102-debian11, 2.1.102-ubuntu20, 2.1.102-ubuntu20-arm, 2.1.102-rocky8
• 2.2.70-debian12, 2.2.70-ubuntu22, 2.2.70-ubuntu22-arm, 2.2.70-rocky9
• 2.3.17-debian12, 2.3.17-ubuntu22, 2.3.17-ubuntu22-arm, 2.3.17-ml-ubuntu22, 2.3.17-rocky9

Fixed a Jupyter Kernel Gateway bug that caused failures while restarting kernels.

Announcing the General Availability (GA) of Lightning Engine for Google Cloud Serverless for Apache Spark. Lightning Engine is a high-performance query accelerator that delivers up to 4.3x faster performance for Spark workloads compared to open-source Spark, as measured on TPC-H-like benchmarks.

Lightning Engine and Native Query Execution are not available in 3.0 runtimes. For more details on enabling Lightning Engine and its advanced features like Native Query Execution (NQE), see the official documentation.

Serverless for Apache Spark: With the Lightning Engine GA release, the property to enable Native Query Execution (NQE) feature has been updated.

In order to use Lightning Engine, submit your jobs in the Premium tier. Under Lightning Engine, if you would like to use the NQE feature, set the new flag: spark.dataproc.lightningEngine.runtime=native. Users are encouraged to try this feature to explore the full potential of Lightning Engine.

For backward compatibility, the legacy property that was used to enable NQE spark.dataproc.runtimeEngine=native will continue to be honored in the existing runtimes 1.2, 2.2 and 2.3, but it's not supported in future releases (3.0+ runtimes).

New Dataproc on Compute Engine subminor image versions:

• 2.0.152-debian10, 2.0.152-ubuntu18, 2.0.152-rocky8
• 2.1.101-debian11, 2.1.101-ubuntu20, 2.1.101-ubuntu20-arm, 2.1.101-rocky8
• 2.2.69-debian12, 2.2.69-ubuntu22, 2.2.69-ubuntu22-arm, 2.2.69-rocky9
• 2.3.16-debian12, 2.3.16-ubuntu22, 2.3.16-ubuntu22-arm, 2.3.16-ml-ubuntu22, 2.3.16-rocky9

New Serverless for Apache Spark runtime versions:

• 3.0.0-RC6

Dataproc on Compute Engine: The default image version of premium tier clusters is now 2.3.

New Dataproc on Compute Engine subminor image versions:

• 2.0.151-debian10, 2.0.151-ubuntu18, 2.0.151-rocky8
• 2.1.100-debian11, 2.1.100-ubuntu20, 2.1.100-ubuntu20-arm, 2.1.100-rocky8
• 2.2.68-debian12, 2.2.68-ubuntu22, 2.2.68-ubuntu22-arm, 2.2.68-rocky9
• 2.3.15-debian12, 2.3.15-ubuntu22, 2.3.15-ubuntu22-arm, 2.3.15-ml-ubuntu22, 2.3.15-rocky9

Fixed startup race condition in multi-tenant clusters using the dataproc:pip.packages property that could cause authentication failures while starting Jupyter notebook kernels.

Serverless for Apache Spark: Runtimes rollout with Apache Spark upgrade to version 3.5.3 in the latest 1.2 and 2.2 Serverless for Apache Spark runtime versions has started and is expected to finish by October 16th.

New Serverless for Apache Spark runtime versions:

• 2.3.13
• 3.0.0-RC5

Serverless for Apache Spark: Upgraded Apache Spark to version 3.5.3 in the latest 2.3 Serverless for Apache Spark runtime versions.

Dataproc on Compute Engine: The following diagnostic properties are now enabled by default for new Dataproc clusters created with 2.0+ image versions:

• dataproc:diagnostic.capture.enabled: Collects checkpoint diagnostic data in the cluster temp bucket.
• dataproc:dataproc.logging.extended.enabled: Collects logs for the Knox, Zeppelin, Ranger-usersync, Jupyter_notebook, Jupyter_kernel_gateway components and the Spark History-Server in Cloud Logging.
• dataproc:dataproc.logging.syslog.enabled: Collects VM syslogs in Cloud Logging.

Note: To disable any of these features, set the corresponding property to false during cluster creation.

To continue using the Ops Agent initialization action opsagent.sh to ingest syslogs from Dataproc cluster nodes, do one of the following:

• Recommended: Use opsagent_nosyslog.sh since VM syslogs are emitted by default from Dataproc clusters.
• Set the dataproc:dataproc.logging.syslog.enabled=false and continue using opsagent.sh to ingest syslogs.

New Dataproc on Compute Engine subminor image versions:

• 2.0.150-debian10, 2.0.150-ubuntu18, 2.0.150-rocky8
• 2.1.99-debian11, 2.1.99-ubuntu20, 2.1.99-ubuntu20-arm, 2.1.99-rocky8
• 2.2.67-debian12, 2.2.67-ubuntu22, 2.2.67-ubuntu22-arm, 2.2.67-rocky9
• 2.3.14-debian12, 2.3.14-ubuntu22, 2.3.14-ubuntu22-arm, 2.3.14-ml-ubuntu22, 2.3.14-rocky9

New Dataproc on Compute Engine subminor image versions:

• 2.0.149-debian10, 2.0.149-ubuntu18, 2.0.149-rocky8
• 2.1.98-debian11, 2.1.98-ubuntu20, 2.1.98-ubuntu20-arm, 2.1.98-rocky8
• 2.2.66-debian12, 2.2.66-ubuntu22, 2.2.66-ubuntu22-arm, 2.2.66-rocky9
• 2.3.13-debian12, 2.3.13-ubuntu22, 2.3.13-ubuntu22-arm, 2.3.13-ml-ubuntu22, 2.3.13-rocky9

New Serverless for Apache Spark runtime versions:

• 1.2.61
• 2.2.61
• 2.3.12
• 3.0.0-RC4

Announcing the Preview release of Dataproc on Compute Engine image version 3.0.0-RC1:

• Spark 4.0.0
• Hadoop 3.4.1
• Hive 4.1.0
• Tez 0.10.5
• Cloud Storage Connector 3.1.4
• Conda 24.11
• Java 17
• Python 3.11
• R 4.3
• Scala 2.13

Announcing the Preview release of Serverless for Apache Spark 3.0.0-RC3 runtime:

• Spark 4.0.0
• BigQuery Spark Connector 0.42.3
• Cloud Storage Connector 3.1.5
• Conda 25.3.0
• Java 21
• Python 3.12
• R 4.4
• Scala 2.13

New Dataproc on Compute Engine subminor image versions:

• 2.3.11-debian12, 2.3.11-ubuntu22, 2.3.11-ubuntu22-arm, 2.3.11-ml-ubuntu22, 2.3.11-rocky9

New Dataproc Serverless for Spark runtime versions:

• 1.2.60
• 2.2.60
• 2.3.11

Multi-tenant clusters are now available in Preview. Many data engineers and scientists can share a multi-tenant cluster to execute their workloads in isolation from each other.

New Dataproc on Compute Engine subminor image versions:

• 2.0.147-debian10, 2.0.147-ubuntu18, 2.0.147-rocky8
• 2.1.96-debian11, 2.1.96-ubuntu20, 2.1.96-ubuntu20-arm, 2.1.96-rocky8
• 2.2.64-debian12, 2.2.64-ubuntu22, 2.2.64-ubuntu22-arm, 2.2.64-rocky9
• 2.3.10-debian12, 2.3.10-ubuntu22, 2.3.10-ubuntu22-arm, 2.3.10-ml-ubuntu22, 2.3.10-rocky9

New Dataproc Serverless for Spark runtime versions:

• 1.2.59
• 2.2.59
• 2.3.10

New Dataproc Serverless for Spark runtime versions:

• 1.2.58
• 2.2.58
• 2.3.9

Serverless for Apache Spark: Fixed a bug in Dataproc Batches that occasionally caused higher latency before an application was started.

New Dataproc on Compute Engine subminor image versions:

• 2.0.146-debian10, 2.0.146-ubuntu18, 2.0.146-rocky8
• 2.1.95-debian11, 2.1.95-ubuntu20, 2.1.95-ubuntu20-arm, 2.1.95-rocky8
• 2.2.63-debian12, 2.2.63-ubuntu22, 2.2.63-ubuntu22-arm, 2.2.63-rocky9
• 2.3.9-debian12, 2.3.9-ubuntu22, 2.3.9-ubuntu22-arm, 2.3.9-ml-ubuntu22, 2.3.9-rocky9

New Dataproc Serverless for Spark runtime versions:

• 1.2.57
• 2.2.57
• 2.3.8

New Dataproc on Compute Engine subminor image versions:

• 2.0.145-debian10, 2.0.145-ubuntu18, 2.0.145-rocky8
• 2.1.94-debian11, 2.1.94-ubuntu20, 2.1.94-ubuntu20-arm, 2.1.94-rocky8
• 2.2.62-debian12, 2.2.62-ubuntu22, 2.2.62-ubuntu22-arm, 2.2.62-rocky9
• 2.3.8-debian12, 2.3.8-ubuntu22, 2.3.8-ubuntu22-arm, 2.3.8-ml-ubuntu22, 2.3.8-rocky9

Dataproc on Compute Engine: Sharing checkpoint diagnostic data: Setting the dataproc:diagnostic.capture.access=GOOGLE_DATAPROC_DIAGNOSE property during cluster creation shares all of the temp bucket contents with Google Cloud support if uniform bucket-level access is enabled on temp bucket. If object-level access control is in effect on the temp bucket, only the checkpoint diagnostic data folder corresponding to the cluster in Cloud Storage is shared.

New Dataproc Serverless for Spark runtime versions:

• 1.2.56
• 2.2.56
• 2.3.7

Dataproc on Compute Engine: Image versions 2.2 and 2.3: The Iceberg optional component supports the BigLake Iceberg REST catalog.

New Dataproc on Compute Engine subminor image versions:

• 2.1.93-debian11, 2.1.93-rocky8, 2.1.93-ubuntu20, 2.1.93-ubuntu20-arm
• 2.2.61-debian12, 2.2.61-rocky9, 2.2.61-ubuntu22, 2.2.61-ubuntu22-arm

New Dataproc Serverless for Spark runtime versions:

• 1.1.111
• 1.2.55
• 2.2.55
• 2.3.6

Dataproc Serverless for Spark: Subminor version 1.1.111 is the last release of runtime version 1.1, which will no longer be supported and will not receive new releases.

New Dataproc on Compute Engine subminor image versions:

2.3.7-debian12, 2.3.7-ubuntu22, 2.3.7-ubuntu22-arm, 2.3.7-ml-ubuntu22, and 2.3.7-rocky9

The 2.3.7-ml-ubuntu22 image extends the 2.3 base image with ML-specific libraries.

New Dataproc on Compute Engine subminor image versions:

2.3.6-debian12, 2.3.6-ubuntu22, 2.3.6-ml-ubuntu22, and 2.3.6-rocky9

The 2.3.6-ml-ubuntu22 image extends the 2.3 base image with ML-specific libraries.

Dataproc on Compute Engine: Starting August 18, 2025, the following diagnostic properties will be enabled by default for newly created Dataproc clusters:

• dataproc:diagnostic.capture.enabled: Enables the collection of checkpoint data in the cluster temp bucket.
• dataproc:dataproc.logging.extended.enabled: Enables the collection of logs for the Knox, Zeppelin, Ranger-usersync, Jupyter_notebook, Jupyter_kernel_gateway components and the Spark History-Server in Cloud Logging.

• dataproc:dataproc.logging.syslog.enabled: Enables the collection of VM syslogs in Cloud Logging.

  To continue using the Ops Agent initialization action opsagent.sh to ingest syslogs from Dataproc cluster nodes, do one of the following:

  • Recommended: Use opsagent_nosyslog.sh since VM syslogs will now be emitted by default from Dataproc clusters.
  • Set the dataproc:dataproc.logging.syslog.enabled=false and continue using opsagent.sh to ingest syslogs.

Note: To disable any of these features, set the corresponding property to false during cluster creation.

Dataproc now allows Dynamic update of multi-tenancy clusters.

The Cluster Scheduled Stop feature is available in preview. You can use this feature to stop clusters after a specified idle period, at a specified future time, or after a specified period from the cluster creation or update request.

New Dataproc on Compute Engine subminor image versions:

2.3.5-debian12, 2.3.5-ubuntu22, 2.3.5-ml-ubuntu22, and 2.3.5-rocky9

The 2.3.5-ml-ubuntu22 image extends the 2.3 base image with ML-specific libraries.

Serverless for Apache Spark (formerly known as Dataproc Serverless for Spark) now supports OS Login organization policy. Organizations, folders, and projects that enforce the OS Login policy can now use Serverless for Apache Spark.

New Dataproc Serverless for Spark runtime versions:

• 1.1.110
• 1.2.54
• 2.2.54
• 2.3.5

Dataproc Serverless for Spark: The built-in Iceberg now supports the BigLake Iceberg REST catalog on the 2.2 runtime.

Dataproc Serverless for Spark: Upgraded the Cloud Storage connector version to 2.2.28 in the 1.1 runtime.

New Dataproc Serverless for Spark runtime versions:

• 1.1.109
• 1.2.53
• 2.2.53
• 2.3.4

Dataproc on Compute Engine: Upgraded the Cloud Storage connector version to 2.2.28 in the latest 2.0 and 2.1 images.

New Dataproc on Compute Engine subminor image versions:

• 2.0.144-debian10, 2.0.144-rocky8, 2.0.144-ubuntu18
• 2.1.92-debian11, 2.1.92-rocky8, 2.1.92-ubuntu20, 2.1.92-ubuntu20-arm
• 2.2.60-debian12, 2.2.60-rocky9, 2.2.60-ubuntu22
• 2.3.4-debian12, 2.3.4-rocky9, 2.3.4-ubuntu22, and 2.3.4-ml-ubuntu22.

The 2.3.4-ml-ubuntu22 image extends the 2.3 base image with ML-specific libraries.

Dataproc on Compute Engine: Dataproc now automatically configures Knox Gateway configuration properties gateway.dispatch.whitelist.services and gateway.dispatch.whitelist for component web UIs within the cluster.

Dataproc on Compute Engine: Fixed a bug in trino-jvm cluster properties. To configure Trino JVM options prefixed with trino-jvm, follow these guidelines:

• Configure JVM options starting with -XX:, without :. For JVM flags without a value, add = at the end. For example, add trino-jvm:-XX+HeapDumpOnOutOfMemoryError= as -XX:+HeapDumpOnOutOfMemoryError in the jvm.config.
• Specify JVM options system properties with a -D prefix the same way. For example, trino-jvm:-Dsystem.property.name=value.
• Any value containing : cannot be provided as a cluster property.

Dataproc on Compute Engine & Dataproc Serverless: Backported GH-3198 in Parquet addressing CVE-2025-46762.

New Dataproc Serverless for Spark runtime versions:

• 1.1.108
• 1.2.52
• 2.2.52
• 2.3.3

Announcing the GA release of Dataproc on Compute Engine image version 2.3:

Image Version 2.3 is a lightweight image that contains only core components, reducing exposure to Common Vulnerabilities and Exposures (CVEs). For higher security compliance requirements, use the image version 2.3 or later when creating a Dataproc cluster. Optional components can still be deployed on-demand.

The following images are the latest available 2.3 subminor image versions:

• 2.3.3-debian12, 2.3.3-rocky9, 2.3.3-ubuntu22, and 2.3.3-ml-ubuntu22.

The 2.3.3-ml-ubuntu22 image extends the 2.3 base image with ML-specific libraries.

New Dataproc Serverless for Spark runtime versions:

• 1.1.107
• 1.2.51
• 2.2.51
• 2.3.2

Dataproc Serverless for Spark: Fixed a bug that prevented the spark.executorEnv property from correctly setting specific executor environment variables across all runtimes.

New Dataproc on Compute Engine subminor image versions:

• 2.0.143-debian10, 2.0.143-rocky8, 2.0.143-ubuntu18
• 2.1.91-debian11, 2.1.90-rocky8, 2.1.91-ubuntu20, 2.1.91-ubuntu20-arm
• 2.2.59-debian12, 2.2.59-rocky9, 2.2.59-ubuntu22

Dataproc on Compute Engine: Fixed the ordering of log entries generated from clusters created with 2.2+ image versions by assigning timestamps closer to the log generation time.

The support dates for Dataproc on Compute Engine image versions 2.0, 2.1, and 2.2 have been extended, as follows:

• Image version 2.2: Supported until 03/31/2027
• Image version 2.1: Supported until 03/31/2026
• Image version 2.0 Supported until 09/30/2025

New Dataproc Serverless for Spark runtime versions:

• 1.1.106
• 1.2.50
• 2.2.50
• 2.3.1

Announcing the General Availability release of Spark on BigQuery, which lets you create a serverless Spark session in a BigQuery Studio notebook. Use this feature to create, run, and test Spark jobs quickly and easily. For more information, see Run PySpark code in BigQuery Studio notebooks.

Announcing the General Availability (GA) release of Dataproc Serverless for Spark runtime versions 2.3, which include the following components:

• Spark 3.5.1
• BigQuery Spark Connector 0.42.3
• Cloud Storage Connector 3.1.2
• Java 17
• Python 3.11
• R 4.3
• Scala 2.13

New Dataproc Serverless for Spark runtime versions:

• 1.1.105
• 1.2.49
• 2.2.49
• 2.3.0

Dataproc now supports the creation of zero-scale clusters, available in preview. This feature provides a cost-effective way to use Dataproc clusters, as they utilize only secondary workers that can be scaled down to zero when not in use.

New Dataproc on Compute Engine subminor image versions:

• 2.0.142-debian10, 2.0.142-rocky8, 2.0.142-ubuntu18
• 2.1.90-debian11, 2.1.90-rocky8, 2.1.90-ubuntu20, 2.1.90-ubuntu20-arm
• 2.2.58-debian12, 2.2.58-rocky9, 2.2.58-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.104
• 1.2.48
• 2.2.48

New Dataproc on Compute Engine subminor image versions:

• 2.0.141-debian10, 2.0.141-rocky8, 2.0.141-ubuntu18
• 2.1.89-debian11, 2.1.89-rocky8, 2.1.89-ubuntu20, 2.1.89-ubuntu20-arm
• 2.2.57-debian12, 2.2.57-rocky9, 2.2.57-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.103
• 1.2.47
• 2.2.47

Dataproc Serverless for Spark: Spark UI for Dataproc Serverless batches and interactive sessions, which lets you monitor and debug your serverless Spark workloads, now features Event Timeline and Task Quantile views for enhanced troubleshooting.

New Dataproc on Compute Engine subminor image versions:

• 2.0.140-debian10, 2.0.140-rocky8, 2.0.140-ubuntu18
• 2.1.88-debian11, 2.1.88-rocky8, 2.1.88-ubuntu20, 2.1.88-ubuntu20-arm
• 2.2.56-debian12, 2.2.56-rocky9, 2.2.56-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.102
• 1.2.46
• 2.2.46

Dataproc on Compute Engine: The default enabling of the following cluster properties previously announced to occur on May 10, 2025 (see the February 10, 2025 release note) has been postponed to a future date. The future date will be announced in a release note at least one month in advance of the change. Until then, these diagnostic properties will continue to be set to false by default unless set to true by the user.

• dataproc:diagnostic.capture.enabled
• dataproc:dataproc.logging.extended.enabled
• dataproc:dataproc.logging.syslog.enabled

Dataproc on Compute Engine: Upgraded NodeProblemDetector to 0.8.20 based version for 2.2 image.

New Dataproc on Compute Engine subminor image versions:

• 2.0.139-debian10, 2.0.139-rocky8, 2.0.139-ubuntu18
• 2.1.87-debian11, 2.1.87-rocky8, 2.1.87-ubuntu20, 2.1.87-ubuntu20-arm
• 2.2.55-debian12, 2.2.55-rocky9, 2.2.55-ubuntu22

Dataproc on Compute Engine: Upgraded oauth2l to v1.3.3 to address CVEs.

Dataproc on Compute Engine: Fixed an issue with Apache Hudi that caused failure in Hudi CLI.

Dataproc Serverless: Backported GH-3168 in Parquet addressing CVE-2025-30065.

New Dataproc Serverless for Spark runtime versions:

• 1.1.101
• 1.2.45
• 2.2.45

Native Query Execution now supports reading Apache ORC complex types.

Dataproc on Compute Engine: Fixed Job ID retrieval in Dataproc job logs for clusters created with 2.0, 2.1 image versions, by ignoring timestamp prefix.

New Dataproc on Compute Engine subminor image versions:

2.0.138-debian10, 2.0.138-rocky8, 2.0.138-ubuntu18

2.1.86-debian11, 2.1.86-rocky8, 2.1.86-ubuntu20, 2.1.86-ubuntu20-arm

2.2.54-debian12, 2.2.54-rocky9, 2.2.54-ubuntu22

Dataproc on Compute Engine: Backported GH-3168 in Parquet addressing CVE-2025-30065.

Dataproc on Compute Engine: Added an temporary object hold on the spark-job-history folder in Cloud Stroage to prevent deletion by Cloud Storage life cycling.

New Dataproc Serverless for Spark runtime versions:

• 1.1.99
• 1.2.43
• 2.2.43

Fixed a bug in which Jupyter fails to restart upon cluster restart on Personal Authentication clusters.

Dataproc on Compute Engine: The Spark BigQuery connector has been upgraded to version 0.34.1 in the latest 2.2 image version.

New Dataproc on Compute Engine subminor image versions:

• 2.0.137-debian10, 2.0.137-rocky8, 2.0.137-ubuntu18
• 2.1.85-debian11, 2.1.85-rocky8, 2.1.85-ubuntu20, 2.1.85-ubuntu20-arm
• 2.2.53-debian12, 2.2.53-rocky9, 2.2.53-ubuntu22

Dataproc Serverless for Spark: Gemini Cloud Assist Investigations is available in Preview for the following runtimes:

• 1.1
• 1.2
• 2.2

Dataproc on Compute Engine: Fixed an issue with the retrieval of an Access token when using the ranger-gcs-plugin with 2.2 images.

New Dataproc on Compute Engine subminor image versions:

• 2.2.52-debian12, 2.2.52-rocky9, 2.2.52-ubuntu22

Dataproc Serverless for Spark: Installed CUDA, cuDNN and NCCL NVIDIA libraries in 1.2 and 2.2 runtimes.

New Dataproc Serverless for Spark runtime versions:

• 1.1.98
• 1.2.42
• 2.2.42

New Dataproc on Compute Engine subminor image versions:

• 2.2.51-debian12, 2.2.51-rocky9, 2.2.51-ubuntu22

Dataproc on Compute Engine: Hyperdisk-Balanced is now the default primary disk type when creating a cluster from the console.

Dataproc on Compute Engine: Fixed incorrectly attributed Dataproc job logs in Cloud Logging for clusters created with 2.2+ image versions. This happened when multiple Dataproc jobs were running concurrently on the same cluster.

New Dataproc Serverless for Spark runtime versions:

• 1.1.97
• 1.2.41
• 2.2.41

Dataproc Serverless for Spark: Hadoop Native libraries are installed by default in all runtimes.

New Dataproc Serverless for Spark runtime versions:

• 1.1.96
• 1.2.40
• 2.2.40

New Dataproc on Compute Engine subminor image versions:

• 2.0.136-debian10, 2.0.136-rocky8, 2.0.136-ubuntu18
• 2.1.84-debian11, 2.1.84-rocky8, 2.1.84-ubuntu20, 2.1.84-ubuntu20-arm
• 2.2.50-debian12, 2.2.50-rocky9, 2.2.50-ubuntu22

Dataproc on Compute Engine: Spark upgraded to version 3.5.3 in the latest Dataproc image version 2.2.

Dataproc on Compute Engine: Added support for Enhanced Flexibility Mode (EFM) with primary worker shuffle mode on Spark for image version 2.2.50 and above.

Dataproc on Compute Engine: The latest Dataproc 2.2 image version now supports Spark data lineage.

New Dataproc Serverless for Spark runtime versions:

• 1.1.95
• 1.2.39
• 2.2.39

New Dataproc on Compute Engine subminor image versions:

• 2.0.135-debian10, 2.0.135-rocky8, 2.0.135-ubuntu18
• 2.1.83-debian11, 2.1.83-rocky8, 2.1.83-ubuntu20, 2.1.83-ubuntu20-arm
• 2.2.49-debian12, 2.2.49-rocky9, 2.2.49-ubuntu22

Dataproc is now available in the europe-north2 region (Stockholm, Sweden).

New Dataproc Serverless for Spark runtime versions:

• 1.1.94
• 1.2.38
• 2.2.38

New Dataproc on Compute Engine subminor image versions:

• 2.0.134-debian10, 2.0.134-rocky8, 2.0.134-ubuntu18
• 2.1.82-debian11, 2.1.82-rocky8, 2.1.82-ubuntu20, 2.1.82-ubuntu20-arm
• 2.2.48-debian12, 2.2.48-rocky9, 2.2.48-ubuntu22

Dataproc on Compute Engine: Explicitly disabled sha1, md5 algorithms for use with kex and kex-gss sshd features.

New Dataproc Serverless for Spark runtime versions:

• 1.1.93
• 1.2.37
• 2.2.37

New Dataproc on Compute Engine subminor image versions:

• 2.0.133-debian10, 2.0.133-rocky8, 2.0.133-ubuntu18
• 2.1.81-debian11, 2.1.81-rocky8, 2.1.81-ubuntu20, 2.1.81-ubuntu20-arm
• 2.2.47-debian12, 2.2.47-rocky9, 2.2.47-ubuntu22

New Dataproc on Compute Engine subminor image versions:

• 2.0.132-debian10, 2.0.132-rocky8, 2.0.132-ubuntu18
• 2.1.80-debian11, 2.1.80-rocky8, 2.1.80-ubuntu20, 2.1.80-ubuntu20-arm
• 2.2.46-debian12, 2.2.46-rocky9, 2.2.46-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.92
• 1.2.36
• 2.2.36

Data Lineage for Dataproc Hive is now in Public Preview, which can be enabled using the Hive Lineage initialization action.

Dataproc on Compute Engine: To help diagnose Dataproc clusters, you can set the following cluster properties to true when you create a cluster:

• dataproc:diagnostic.capture.enabled: When set to true, enables the collection of checkpoint data in the cluster temp bucket.
• dataproc:dataproc.logging.extended.enabled: When set to true, enables the collection of logs for the Knox, Zeppelin, Solr, Trino, Presto, Ranger-usersync, Jupyter_notebook components and the Spark History-Server in Cloud Logging.
• dataproc:dataproc.logging.syslog.enabled: When set to true, enables the collection of VM syslogs in Cloud Logging.

Note: starting May 10, 2025, these properties will be set to true by default.

New Dataproc Serverless for Spark runtime versions:

• 1.1.91
• 1.2.35
• 2.2.35

New Dataproc on Compute Engine subminor image versions:

• 2.0.131-debian10, 2.0.131-rocky8, 2.0.131-ubuntu18
• 2.1.79-debian11, 2.1.79-rocky8, 2.1.79-ubuntu20, 2.1.79-ubuntu20-arm
• 2.2.45-debian12, 2.2.45-rocky9, 2.2.45-ubuntu22

Spark UI for Dataproc Serverless Batches and Interactive sessions, which lets you to monitor and debug your serverless Spark workloads, is now available for CMEK (Customer-Managed Encryption Keys) and Assured Workloads. The Spark UI is available by default and free of cost.

New Dataproc Serverless for Spark runtime versions:

• 1.1.90
• 1.2.34
• 2.2.34

New Dataproc on Compute Engine subminor image versions:

• 2.0.130-debian10, 2.0.130-rocky8, 2.0.130-ubuntu18
• 2.1.78-debian11, 2.1.78-rocky8, 2.1.78-ubuntu20, 2.1.78-ubuntu20-arm
• 2.2.44-debian12, 2.2.44-rocky9, 2.2.44-ubuntu22

• New Hyperdisk Balanced primary disk type available on Dataproc clusters.
• New machine types available for Hyperdisk Balanced disk type on clusters: C4, C4A, and N4.

New Dataproc Serverless for Spark runtime versions:

• 1.1.89
• 1.2.33
• 2.2.33

Dataproc on Compute Engine: Private Google Access is now automatically enabled in the configured subnetwork when creating clusters with internal IP addresses.

Dataproc Serverless for Spark: Private Google Access is now automatically enabled in the configured subnetwork when running batch workloads and interactive sessions.

Dataproc cluster caching now supports ARM images.

Zeppelin component added to 2.1-Ubuntu20-arm images.

New Dataproc on Compute Engine subminor image versions:

• 2.0.129-debian10, 2.0.129-rocky8, 2.0.129-ubuntu18
• 2.1.77-debian11, 2.1.77-rocky8, 2.1.77-ubuntu20, 2.1.77-ubuntu20-arm
• 2.2.43-debian12, 2.2.43-rocky9, 2.2.43-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.88
• 1.2.32
• 2.2.32

New Dataproc Serverless for Spark runtime versions:

• 1.1.87
• 1.2.31
• 2.2.31

New Dataproc on Compute Engine subminor image versions:

• 2.0.128-debian10, 2.0.128-rocky8, 2.0.128-ubuntu18
• 2.1.76-debian11, 2.1.76-rocky8, 2.1.76-ubuntu20, 2.1.76-ubuntu20-arm
• 2.2.42-debian12, 2.2.42-rocky9, 2.2.42-ubuntu22

Dataproc Serverless for Spark:

• Added support for XGBoost 2.1 in 2.2 runtime.
• Change spark.sql.maxMetadataStringLength default value to 5000 for 1.2 and 2.2 runtimes

Dataproc Serverless for Spark: On March 10, 2025, the Dataproc Resource Manager API will be enabled as part of General Availability (GA) for Dataproc Serverless 3.0+ versions.

User action will not be required in response to this API enablement change.

The Dataproc Resource Manager will be implemented as a stand-alone Google Cloud API, dataprocrm.googleapis.com. It will allow Dataproc distributions of open source software, ,particularly Apache Spark, to directly communicate resource requirements.

New Dataproc on Compute Engine subminor image versions:

• 2.0.127-debian10, 2.0.127-rocky8, 2.0.127-ubuntu18
• 2.1.75-debian11, 2.1.75-rocky8, 2.1.75-ubuntu20, 2.1.75-ubuntu20-arm
• 2.2.41-debian12, 2.2.41-rocky9, 2.2.41-ubuntu22

New Dataproc on Compute Engine subminor image versions:

• 2.0.126-debian10, 2.0.126-rocky8, 2.0.126-ubuntu18
• 2.1.74-debian11, 2.1.74-rocky8, 2.1.74-ubuntu20, 2.1.74-ubuntu20-arm
• 2.2.40-debian12, 2.2.40-rocky9, 2.2.40-ubuntu22

Dataproc on Compute Engine: Updated Dataproc Metastore (DPMS) gRPC proxy image version to v. 0.0.70

Dataproc Serverless for Spark: Spark Lineage is available for all supported Dataproc Serverless for Spark runtime versions.

Dataproc is now available in the northamerica-south1 region (Queretaro, Mexico).

Announcing the General Availability (GA) of Spot and non-preemptible VM mixing for Dataproc secondary workers which allows you to mix spot and non-preemptible secondary workers when you create a Dataproc cluster.

Announcing the General Availability (GA) of Flexible shapes for Dataproc secondary workers which allows you to provide a ranked selection of machine types to use for the creation of VMs.

New Dataproc Serverless for Spark runtime versions:

• 1.1.86
• 1.2.30
• 2.2.30

Disabled HiveServer2 Ranger policy synchronization in non-HA clusters for latest image version 2.1 and later. Policy synchronization is causing instability of the HiveServer2 process while trying to connect to ZooKeeper, which is not active by default in non-HA clusters.

New Dataproc on Compute Engine subminor image versions:

• 2.0.125-debian10, 2.0.125-rocky8, 2.0.125-ubuntu18
• 2.1.73-debian11, 2.1.73-rocky8, 2.1.73-ubuntu20, 2.1.73-ubuntu20-arm
• 2.2.39-debian12, 2.2.39-rocky9, 2.2.39-ubuntu22

Note: When using Dataproc version 2.0.125 with the ranger-gcs-plugin, please create a customer support request for your project to use the enhanced version of the plugin prior to its GA release. This note does not apply Dataproc on Compute Engine image versions 2.1 and 2.2.

Dataproc Serverless for Spark: The Hadoop Google Secret Manager Credential Provider feature is now available in the Dataproc Serverless for Spark 1.2 and 2.2 runtimes.

New Dataproc on Compute Engine subminor image versions:

• 2.0.124-debian10, 2.0.124-rocky8, 2.0.124-ubuntu18
• 2.1.72-debian11, 2.1.72-rocky8, 2.1.72-ubuntu20, 2.1.72-ubuntu20-arm
• 2.2.38-debian12, 2.2.38-rocky9, 2.2.38-ubuntu22

Dataproc Serverless for Spark: Upgraded Cloud Storage connector to 3.0.3 version in the latest 1.2 and 2.2 runtimes.

New Dataproc Serverless for Spark runtime versions:

• 1.1.85
• 1.2.29
• 2.2.29

Dataproc Serverless for Spark: Added common AI/ML Python packages by default to Dataproc Serverless for Spark 1.2 and 2.2 runtimes.

Announcing the General Availability (GA) release of Spark UI for Dataproc Serverless Batches and Interactive sessions which allows you to monitor and debug your serverless Spark workloads. Spark UI is available by default and free of cost for all Dataproc Serverless workloads.

• New Dataproc on Compute Engine subminor image versions:

  • 2.0.123-debian10, 2.0.123-rocky8, 2.0.123-ubuntu18
  • 2.1.71-debian11, 2.1.71-rocky8, 2.1.71-ubuntu20, 2.1.71-ubuntu20-arm
  • 2.2.37-debian12, 2.2.37-rocky9, 2.2.37-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.84
• 1.2.28
• 2.2.28

Dataproc Clusters created with image versions 2.0.57+, 2.1.5+, or 2.2+: Secondary workers' control plane operations are made by the Dataproc Service Agent service account (service-<project-number>@dataproc-accounts.iam.gserviceaccount.com). They will no longer use the Google APIs Service Agent service account (<project-number>@cloudservices.gserviceaccount.com).

• New Dataproc on Compute Engine subminor image versions:

  • 2.0.122-debian10, 2.0.122-rocky8, 2.0.122-ubuntu18
  • 2.1.70-debian11, 2.1.70-rocky8, 2.1.70-ubuntu20, 2.1.70-ubuntu20-arm
  • 2.2.36-debian12, 2.2.36-rocky9, 2.2.36-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.83
• 1.2.27
• 2.2.27

• New Dataproc on Compute Engine subminor image versions:

  • 2.0.121-debian10, 2.0.121-rocky8, 2.0.121-ubuntu18
  • 2.1.69-debian11, 2.1.69-rocky8, 2.1.69-ubuntu20, 2.1.69-ubuntu20-arm
  • 2.2.35-debian12, 2.2.35-rocky9, 2.2.35-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.82
• 1.2.26
• 2.2.26

New Dataproc Serverless for Spark runtime versions:

• 1.1.81
• 1.2.25
• 2.2.25

Blocklisted the following Dataproc on Compute Engine subminor image versions:

• 2.0.120-debian10, 2.0.120-rocky8, 2.0.120-ubuntu18
• 2.1.68-debian11, 2.1.68-rocky8, 2.1.68-ubuntu20, 2.1.68-ubuntu20-arm
• 2.2.34-debian12, 2.2.34-rocky9, 2.2.34-ubuntu22

Dataproc Serverless for Spark: Added the google-cloud-dlp Python package by default to the Dataproc Serverless for Spark runtimes.

New Dataproc Serverless for Spark runtime versions:

• 1.1.79
• 1.2.23
• 2.2.23

Dataproc Serverless for Spark: In runtime versions 1.2 and 2.2, minimized the dynamic memory footprint of the Spark application by setting XX:MaxHeapFreeRatio to 30% and XX:MinHeapFreeRatio to 10%.

Dataproc Serverless for Spark: Fixed an issue that would cause some batches and sessions to fail to start when using the premium compute tier.

Blocklisted the following Dataproc on Compute Engine subminor image versions:

• 2.0.119-debian10, 2.0.103-rocky8, 2.0.103-ubuntu18
• 2.1.67-debian11, 2.1.51-rocky8, 2.1.51-ubuntu20, 2.1.51-ubuntu20-arm
• 2.2.33-debian12, 2.2.17-rocky9, 2.2.17-ubuntu22

New Dataproc on Compute Engine subminor image versions:

• 2.0.118-debian10, 2.0.118-rocky8, 2.0.118-ubuntu18
• 2.1.66-debian11, 2.1.66-rocky8, 2.1.66-ubuntu20, 2.1.66-ubuntu20-arm
• 2.2.32-debian12, 2.2.32-rocky9, 2.2.32-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.78
• 1.2.22
• 2.2.22

Dataproc Serverless for Spark: Fixed a bug that caused some batches and sessions to fail to start when using the premium compute tier.

New Dataproc on Compute Engine subminor image versions:

• 2.0.117-debian10, 2.0.117-rocky8, 2.0.117-ubuntu18
• 2.1.65-debian11, 2.1.65-rocky8, 2.1.65-ubuntu20, 2.1.65-ubuntu20-arm
• 2.2.31-debian12, 2.2.31-rocky9, 2.2.31-ubuntu22

Dataproc on Compute Engine: The latest 2.2 image versions support Hudi Trino integration natively. If both components are selected when you create a Dataproc cluster, Trino will be configured to support Hudi automatically.

Dataproc on Compute Engine: The latest 2.2 image versions now support Hudi 0.15.0.

Dataproc on Compute Engine: Dataproc image version 2.2 will become the default Dataproc on Compute Engine image version on September 6, 2024.

New Dataproc on Compute Engine subminor image versions:

• 2.0.116-debian10, 2.0.116-rocky8, 2.0.116-ubuntu18
• 2.1.64-debian11, 2.1.64-rocky8, 2.1.64-ubuntu20, 2.1.64-ubuntu20-arm
• 2.2.30-debian12, 2.2.30-rocky9, 2.2.30-ubuntu22,

Dataproc on GKE runtime versions 2.0 (Spark 3.1) is deprecated.

Dataproc on Compute Engine: Apache Spark upgraded to version 3.5.1 in image version 2.2 starting with image version 2.2.30.

New Dataproc on Compute Engine subminor image versions:

• 2.0.115-debian10, 2.0.115-rocky8, 2.0.115-ubuntu18
• 2.1.63-debian11, 2.1.63-rocky8, 2.1.63-ubuntu20, 2.1.63-ubuntu20-arm
• 2.2.29-debian12, 2.2.29-rocky9, 2.2.29-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.77
• 1.2.21
• 2.0.85
• 2.2.21

Dataproc Serverless for Spark: Subminor version 2.0.85 is the last release of runtime version 2.0, which will no longer be supported and will not receive new releases.

New Dataproc on Compute Engine subminor image versions:

• 2.0.114-debian10, 2.0.114-rocky8, 2.0.114-ubuntu18
• 2.1.62-debian11, 2.1.62-rocky8, 2.1.62-ubuntu20, 2.1.62-ubuntu20-arm
• 2.2.28-debian12, 2.2.28-rocky9, 2.2.28-ubuntu22

syslog is now available for Dataproc cluster nodes in Cloud Logging. See Dataproc logs for cluster and job log information.

New Dataproc Serverless for Spark runtime versions:

• 1.1.76
• 1.2.20
• 2.0.84
• 2.2.20

New Dataproc Serverless for Spark runtime versions:

• 1.1.75
• 1.2.19
• 2.0.83
• 2.2.19

New Dataproc Serverless for Spark runtime versions:

• 1.1.74
• 1.2.18
• 2.0.82
• 2.2.18

Dataproc Serverless for Spark: Upgraded Spark BigQuery connector to version 0.36.4 in the latest 1.2 and 2.2 Dataproc Serverless for Spark runtime versions.

New Dataproc Serverless for Spark runtime versions:

• 1.1.73
• 1.2.17
• 2.0.81
• 2.2.17

New Dataproc on Compute Engine subminor image versions:

• 2.0.113-debian10, 2.0.113-rocky8, 2.0.113-ubuntu18
• 2.1.61-debian11, 2.1.61-rocky8, 2.1.61-ubuntu20, 2.1.61-ubuntu20-arm
• 2.2.27-debian12, 2.2.27-rocky9, 2.2.27-ubuntu22

Enabled user sync by default for clusters using Ranger.

Replaced Spark external packages with connector folder on Dataproc 2.2 clusters.

Fixed a bug that caused intermittent delays and failures in clusters with 3 HDFS.

Added support for N4 and C4 machine types for Dataproc image versions 2.1 and above. The following default configurations are now applied to clusters created with N4 or C4 machine types:

• bootdisktype = "hyperdisk-balanced"
• nictype = "gvnic"

Hyperdisks for Dataproc clusters are now created with default throughput and IOPS. When this behavior becomes configurable, it will be announced in a future release note.

When a Cluster, Job, AutoscalingPolicy, or WorkflowTemplate API resource does not exist and the requestor does not have access to the project, a 403 error code is now issued instead of a 404 error code.

New Dataproc Serverless for Spark runtime versions:

• 1.1.72
• 1.2.16
• 2.0.80
• 2.2.16

Note: Dataproc Serverless for Spark runtime versions 1.1.71, 1.2.15, 2.0.79, and 2.2.15 were not released.

New Dataproc on Compute Engine subminor image versions:

• 2.0.112-debian10, 2.0.112-rocky8, 2.0.112-ubuntu18
• 2.1.60-debian11, 2.1.60-rocky8, 2.1.60-ubuntu20, 2.1.60-ubuntu20-arm
• 2.2.26-debian12, 2.2.26-rocky9, 2.2.26-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.70
• 1.2.14
• 2.0.78
• 2.2.14

New Dataproc on Compute Engine subminor image versions:

• 2.0.111-debian10, 2.0.112-rocky8, 2.0.112-ubuntu18
• 2.1.59-debian11, 2.1.60-rocky8, 2.1.60-ubuntu20, 2.1.60-ubuntu20-arm
• 2.2.25-debian12, 2.2.26-rocky9, 2.2.26-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.69
• 1.2.13
• 2.0.77
• 2.2.13

New Dataproc on Compute Engine subminor image versions:

• 2.0.110-debian10, 2.0.110-rocky8, 2.0.110-ubuntu18
• 2.1.58-debian11, 2.1.58-rocky8, 2.1.58-ubuntu20, 2.1.58-ubuntu20-arm
• 2.2.24-debian12, 2.2.24-rocky9, 2.2.24-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.68
• 1.2.12
• 2.0.76
• 2.2.12

New Dataproc on Compute Engine subminor image versions:

• 2.0.109-debian10, 2.0.109-rocky8, 2.0.109-ubuntu18
• 2.1.57-debian11, 2.1.57-rocky8, 2.1.57-ubuntu20, 2.1.57-ubuntu20-arm
• 2.2.23-debian12, 2.2.23-rocky9, 2.2.23-ubuntu22

Added Cloud Profiler support in Dataproc Serverless for Spark. Enable profiling via the dataproc.profiling.enabled=true property and configure it via dataproc.profiling.name=<PROFILE_NAME>

Dataproc on Compute Engine: Apache Hadoop upgraded to version 3.2.4 in image version 2.0 starting with image version 2.0.109.

New Dataproc on Compute Engine subminor image versions:

• 2.0.108-debian10, 2.0.108-rocky8, 2.0.108-ubuntu18
• 2.1.56-debian11, 2.1.56-rocky8, 2.1.56-ubuntu20, 2.1.56-ubuntu20-arm
• 2.2.22-debian12, 2.2.22-rocky9, 2.2.22-ubuntu22

Backported fixes for HIVE-25958 and HIVE-20220 (new configuration hive.groupby.enable.deterministic.distribution=false/true).

New Dataproc Serverless for Spark runtime versions:

• 1.1.67
• 1.2.11
• 2.0.75
• 2.2.11

Dataproc Serverless for Spark: To fix compatibility with open table formats (Apache Iceberg, Apache Hudi and Delta Lake), the ANTLR version downgraded from 4.13.1 to 4.9.3 in Dataproc Serverless for Spark runtime versions 1.2 and 2.2.

The Dataproc Component Gateway is now activated by default when you create a Dataproc on Compute Engine cluster using the Google Cloud console.

New Dataproc on Compute Engine subminor image versions:

• 2.0.107-debian10, 2.0.107-rocky8, 2.0.107-ubuntu18
• 2.1.55-debian11, 2.1.55-rocky8, 2.1.55-ubuntu20, 2.1.55-ubuntu20-arm
• 2.2.21-debian12, 2.2.21-rocky9, 2.2.21-ubuntu22

Dataproc Serverless for Spark: To fix compatibility with open table formats (Apache Iceberg, Apache Hudi and Delta Lake), the ANTLR version will be downgraded from 4.13.1 to 4.9.3 in Dataproc Serverless for Spark runtime versions 1.2 and 2.2 on June 26, 2024.

Dataproc Serverless for Spark: Spark runtime version 2.2 will become the default Dataproc Serverless for Spark runtime version on September 6, 2024.

New Dataproc Serverless for Spark runtime versions:

• 1.1.66
• 1.2.10
• 2.0.74
• 2.2.10

New Dataproc on Compute Engine subminor image versions:

• 2.0.106-debian10, 2.0.106-rocky8, 2.0.106-ubuntu18
• 2.1.54-debian11, 2.1.54-rocky8, 2.1.54-ubuntu20, 2.1.54-ubuntu20-arm
• 2.2.20-debian12, 2.2.20-rocky9, 2.2.20-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.65
• 1.2.9
• 2.0.73
• 2.2.9

Support configuration to prevent HiveMetaStore metrics expensive database queries. To prevent expensive queries during HiveMetaStore startup, set Hive property metastore.initial.metadata.count.enabled to false.

Dataproc Serverless for Spark: Upgraded Spark BigQuery connector to version 0.36.3 in the latest 1.2 and 2.2 Dataproc Serverless for Spark runtime versions.

The Apache Spark in BigQuery feature is available in Private Preview. This feature lets you create a Spark session in a BigQuery notebook that you can use to develop and submit PySpark code from BigQuery. To access this feature, fill in and submit the Dataproc Preview access request form.

New Dataproc on Compute Engine subminor image versions:

• 2.0.105-debian10, 2.0.105-rocky8, 2.0.105-ubuntu18
• 2.1.53-debian11, 2.1.53-rocky8, 2.1.53-ubuntu20, 2.1.53-ubuntu20-arm
• 2.2.19-debian12, 2.2.19-rocky9, 2.2.19-ubuntu22

Dataproc on Compute Engine: When creating a cluster with the latest Dataproc on Compute Engine image versions, the secondary worker boot disk type now defaults to the primary worker boot disk type, which is pd-standard if the primary worker boot disk type is not specified.

New Dataproc Serverless for Spark runtime versions:

• 1.1.64
• 1.2.8
• 2.0.72
• 2.2.8

Dataproc on Compute Engine: Update restartable job error messages to include job IDs.

Dataproc Serverless for Spark: Automatically apply goog-dataproc-session-id, goog-dataproc-session-uuid and goog-dataproc-location labels for a session resource.

New Dataproc on Compute Engine subminor image versions:

• 2.0.104-debian10, 2.0.104-rocky8, 2.0.104-ubuntu18
• 2.1.52-debian11, 2.1.52-rocky8, 2.1.52-ubuntu20, 2.1.52-ubuntu20-arm
• 2.2.18-debian12, 2.2.18-rocky9, 2.2.18-ubuntu22

Dataproc Serverless for Spark: Removed Spark data lineage support for runtime version 1.2.

New Dataproc Serverless for Spark runtime versions:

• 1.1.63
• 1.2.7
• 2.0.71
• 2.1.50
• 2.2.7

Dataproc Serverless for Spark: Enabled Spark checkpoint (spark.checkpoint.compress) and RDD (spark.rdd.compress) compression in the latest 1.2 and 2.2 runtime versions.

Dataproc Serverless for Spark: Subminor version 2.1.50 is the last release of runtime version 2.1, which will no longer be supported and will not receive new releases.

Blocklisted the following Dataproc on Compute Engine subminor image versions:

• 2.0.103-debian10, 2.0.103-rocky8, 2.0.103-ubuntu18
• 2.1.51-debian11, 2.1.51-rocky8, 2.1.51-ubuntu20, 2.1.51-ubuntu20-arm
• 2.2.17-debian12, 2.2.17-rocky9, 2.2.17-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.62
• 1.2.6
• 2.0.70
• 2.1.49
• 2.2.6

Upgraded Spark BigQuery connector to version 0.36.2 in the latest 1.2 and 2.2 Dataproc Serverless for Spark runtime versions.

New Dataproc on Compute Engine subminor image versions:

• 2.0.102-debian10, 2.0.102-rocky8, 2.0.102-ubuntu18

• 2.1.50-debian11, 2.1.50-rocky8, 2.1.50-ubuntu20, 2.1.50-ubuntu20-arm

• 2.2.16-debian12, 2.2.16-rocky9, 2.2.16-ubuntu22

Anaconda's default channel is disabled for package installations on Dataproc on Compute Engine.

New Dataproc on Compute Engine subminor image versions:

• 2.0.101-debian10, 2.0.101-rocky8, 2.0.101-ubuntu18

• 2.1.49-debian11, 2.1.49-rocky8, 2.1.49-ubuntu20, 2.1.49-ubuntu20-arm

• 2.2.15-debian12, 2.2.15-rocky9, 2.2.15-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.61
• 1.2.5
• 2.0.69
• 2.1.48
• 2.2.5

New Dataproc on Compute Engine subminor image versions:

• 2.0.100-debian10, 2.0.100-rocky8, 2.0.100-ubuntu18
• 2.1.48-debian11, 2.1.48-rocky8, 2.1.48-ubuntu20, 2.1.48-ubuntu20-arm
• 2.2.14-debian12, 2.2.14-rocky9, 2.2.14-ubuntu22

Dataproc on Compute Engine:

• Backported patches for HIVE-14557, HIVE-19326, HIVE-20514, HIVE-21100, HIVE-22165, HIVE-22416, HIVE-24435.
• Hive: Improved ORC split generation.

New Dataproc Serverless for Spark runtime versions:

• 1.1.60
• 1.2.4
• 2.0.68
• 2.1.47
• 2.2.4

Dataproc Serverless for Spark:

• Upgraded Spark RAPIDS to version 24.04.0 in 1.2 and 2.2 Dataproc Serverless for Spark runtimes.

When you submit a Dataproc Serverless Batch with a CMEK key:

• In addition to encrypting disk and Cloud Storage data, Dataproc Serverless will use your CMEK to also encrypt batch job arguments. This change will require you to do the following:
  • Assign the Cloud KMS CryptoKey Encrypter/Decrypter role to the Dataproc Service Agent service account.
  • Enable the Cloud KMS API on the project that runs Dataproc Batches resources.
  • If the Dataproc Service Agent role is not attached to the Dataproc Service Agent service account, then add the serviceusage.services.use permission to the custom role attached to the Dataproc Service Agent service account.
• batches.list will return an unreachable field that lists any batches with job arguments that couldn't be decrypted. You can issue a batches.get request to obtain more information on an unreachable batch.
• Multi-regional and cross-regional CMEKs will no longer be permitted. The key (CMEK) must be located in the same location as the encrypted resource. For example, the CMEK used to encrypt a batch that runs in the us-central1 region must also be located in the us-central1 region.

New Dataproc on Compute Engine subminor image versions:

• 2.0.99-debian10, 2.0.99-rocky8, 2.0.99-ubuntu18
• 2.1.47-debian11, 2.1.47-rocky8, 2.1.47-ubuntu20, 2.1.47-ubuntu20-arm
• 2.2.13-debian12, 2.2.13-rocky9, 2.2.13-ubuntu22

New Dataproc Serverless for Spark runtime versions:

• 1.1.59
• 1.2.3
• 2.0.67
• 2.1.46
• 2.2.3

New Dataproc on Compute Engine subminor image versions:

• 2.0.98-debian10, 2.0.98-rocky8, 2.0.98-ubuntu18
• 2.1.46-debian11, 2.1.46-rocky8, 2.1.46-ubuntu20, 2.1.46-ubuntu20-arm
• 2.2.12-debian12, 2.2.12-rocky9, 2.2.12-ubuntu22

Announcing Dataproc Workflow Templates supports the CMEK organization policy.

New Dataproc Serverless for Spark runtime versions:

• 1.1.58
• 1.2.2
• 2.0.66
• 2.1.45
• 2.2.2

Updated the default autoscaling V2 cool-down time from 2m to 1m to reduce scaling latency.

Set the soft delete policy of newly created Dataproc staging and temp Cloud Storage buckets to 0 days.

Fixed a bug where Dataproc Serverless sessions that live longer than 48 hours are underbilled.

Dataproc Serverless for Spark: The preview release of Advanced troubleshooting, including Gemini-assisted troubleshooting, is now available for Spark workloads submitted with the following or later-released runtime versions:

• 1.1.55
• 1.2.0-RC1
• 2.0.63
• 2.1.42
• 2.2.0-RC15

Dataproc Serverless for Spark: Announcing the preview release of Autotuning Spark workloads.

New Dataproc Serverless for Spark runtime versions:

• 1.1.57
• 1.2.1
• 2.0.65
• 2.1.44
• 2.2.1

Added bigframes Python package by default in the Dataproc Serverless for Spark runtime versions 1.2 and 2.2

The following previously released sub-minor versions of Dataproc on Compute Engine images have been rolled back and can only be used when updating existing clusters that already use them:

• 2.0.97-debian10, 2.0.97-rocky8, 2.0.97-ubuntu18
• 2.1.45-debian11, 2.1.45-rocky8, 2.1.45-ubuntu20, 2.1.45-ubuntu20-arm
• 2.2.11-debian12, 2.2.11-rocky9, 2.2.11-ubuntu22

Dataproc Serverless for Spark: runtime version 2.2 will become the default Dataproc Serverless for Spark runtime version on May 3, 2024.

Note: This announcement was updated in the April 19, 2024 release note.

• New Dataproc on Compute Engine subminor image versions:

  • 2.0.97-debian10, 2.0.97-rocky8, 2.0.97-ubuntu18
  • 2.1.45-debian11, 2.1.45-rocky8, 2.1.45-ubuntu20, 2.1.45-ubuntu20-arm
  • 2.2.11-debian12, 2.2.11-rocky9, 2.2.11-ubuntu22

Note: the above subminor image versions were rolled back on April 2, 2024

Dataproc on Compute Engine: New Hadoop Google Secret Manager Credential Provider feature introduced in latest Dataproc on Compute Engine 2.0 image versions.

New Dataproc Serverless for Spark runtime versions:

• 1.1.56
• 1.2.0
• 2.0.64
• 2.1.43
• 2.2.0

Announcing the General Availability (GA) release of Dataproc Serverless for Spark runtime versions 1.2 and 2.2, which include the following components:

• Spark 3.5.1
• BigQuery Spark Connector 0.36.1
• Cloud Storage Connector 3.0.0
• Conda 24.1
• Java 17
• Python 3.12
• R 4.3
• Scala 2.12 (1.2 runtime) and Scala 2.13 (2.2 runtime)

Dataproc Serverless for Spark:

• Upgraded Spark to version 3.5.1 in the latest 1.2 and 2.2 runtimes.
• Upgraded Conda to version 24.1 in the latest 1.2 and 2.2 runtimes.
• Upgraded Spark BigQuery connector to version 0.36.1 in the latest 1.2 and 2.2 runtimes.

New Dataproc on Compute Engine subminor image versions:

• 2.0.96-debian10, 2.0.96-rocky8, 2.0.96-ubuntu18
• 2.1.44-debian11, 2.1.44-rocky8, 2.1.44-ubuntu20, 2.1.44-ubuntu20-arm
• 2.2.10-debian12, 2.2.10-rocky9, 2.2.10-ubuntu22

Announcing the Preview release of Dataproc Serverless for Spark 1.2 runtime:

• Spark 3.5.0
• BigQuery Spark Connector 0.35.1
• Cloud Storage Connector 3.0.0
• Conda 23.11
• Java 17
• Python 3.12
• R 4.3
• Scala 2.12

New Dataproc Serverless for Spark runtime versions:

• 1.1.55
• 1.2.0-RC1
• 2.0.63
• 2.1.42
• 2.2.0-RC15

Dataproc Serverless for Spark:

• Upgraded Spark RAPIDS plugin to version 24.2.0 in the latest runtimes.
• Upgraded Spark to version 3.3.4 in the latest 1.1 and 2.0 runtimes.
• Backported SPARK-44198 in the latest 1.2 and 2.2 runtimes.

New Dataproc on Compute Engine subminor image versions:

• 2.0.95-debian10, 2.0.95-rocky8, 2.0.95-ubuntu18
• 2.1.43-debian11, 2.1.43-rocky8, 2.1.43-ubuntu20, 2.1.43-ubuntu20-arm
• 2.2.9-debian12, 2.2.9-rocky9, 2.2.9-ubuntu22

Added the bigframes (BigQuery DataFrames) Python package in the Dataproc Serverless for Spark 2.1 runtime.

New Dataproc Serverless for Spark runtime versions:

• 1.1.54
• 2.0.62
• 2.1.41
• 2.2.0-RC14

New Dataproc Serverless for Spark runtime versions:

• 1.1.53
• 2.0.61
• 2.1.40
• 2.2.0-RC13

Dataproc Serverless for Spark: Upgraded Cloud Storage connector to 2.2.20 version in the latest 1.1, 2.0, and 2.1 runtimes.

New Dataproc on Compute Engine subminor image versions:

• 2.0.94-debian10, 2.0.94-rocky8, 2.0.94-ubuntu18
• 2.1.42-debian11, 2.1.42-rocky8, 2.1.42-ubuntu20, 2.1.42-ubuntu20-arm
• 2.2.8-debian12, 2.2.8-rocky9, 2.2.8-ubuntu22

Dataproc on Compute Engine: Upgraded Cloud Storage connector version to 2.2.20 for 2.0 and 2.1 images.

Dataproc on Compute Engine: Mounted Java cacerts into containers by default when the Docker-on-YARN feature is enabled.

Dataproc Serverless for Spark: Extended Spark metrics collected for a batch now include executor:resultSize, executor:shuffleBytesWritten, and executor:shuffleTotalBytesRead.

New Dataproc Serverless for Spark runtime versions:

• 1.1.52
• 2.0.60
• 2.1.39
• 2.2.0-RC12

New Dataproc on Compute Engine subminor image versions:

• 2.0.93-debian10, 2.0.93-rocky8, 2.0.93-ubuntu18
• 2.1.41-debian11, 2.1.41-rocky8, 2.1.41-ubuntu20, 2.1.41-ubuntu20-arm
• 2.2.7-debian12, 2.2.7-rocky9, 2.2.7-ubuntu22

Dataproc on Compute Engine: The new Secret Manager credential provider feature is available in the latest 2.1 image versions.

Dataproc on Compute Engine:

• Upgraded Zookeeper to 3.8.3 for Dataproc 2.2.
• Upgraded ORC for Hive to 1.15.13 for Dataproc 2.1.
• Upgraded ORC for Spark to 1.7.10 for Dataproc 2.1.
• Extended expiry for the internal Knox Gateway certificate from one year to five years from cluster creation for Dataproc images 2.0, 2.1, and 2.2.

Dataproc on Compute Engine: Fixed ZooKeeper startup failures in image 2.2 HA (High Availability) clusters that use fully qualified hostnames.

New Dataproc Serverless for Spark runtime versions:

• 1.1.51
• 2.0.59
• 2.1.38
• 2.2.0-RC11

Dataproc on Compute Engine: The internalIpOnly cluster configuration setting now defaults to true for clusters created with 2.2 image versions. Also see Create a Dataproc cluster with internal IP addresses only.

Dataproc Serverless for Spark: Spark Lineage is available for Dataproc Serverless for Spark 1.1 runtime.

New Dataproc Serverless for Spark runtime versions:

• 1.1.50
• 2.0.58
• 2.1.37
• 2.2.0-RC10

Dataproc on Compute Engine: The new Secret Manager credential provider feature is available in the latest 2.2 image versions.

Dataproc on Compute Engine Ranger Cloud Storage enhancement:

• Enabled downscoping
• Added caching of tokens in local cache

Both settings are configurable and can be enabled by customers: see Use Ranger with caching and downscoping .

New Dataproc on Compute Engine subminor image versions:

• 2.0.92-debian10, 2.0.92-rocky8, 2.0.92-ubuntu18
• 2.1.40-debian11, 2.1.40-rocky8, 2.1.40-ubuntu20, 2.1.40-ubuntu20-arm
• 2.2.6-debian12, 2.2.6-rocky9, 2.2.6-ubuntu22

Dataproc on Compute Engine: Backported patch for HADOOP-18652.

New Dataproc Serverless for Spark runtime versions:

• 1.1.49
• 2.0.57
• 2.1.36
• 2.2.0-RC9

Dataproc Serverless for Spark: Backported patch for HADOOP-18652.

Dataproc on Compute Engine: Bucket ttl validation now also runs for buckets created by Dataproc.

Dataproc Serverless for Spark: When dynamic allocation is enabled, the initial executor number is determined by max of spark.dynamicAllocation.initialExecutors and spark.executor.instances.