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Yandex Data Processing
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In this article:

  • Q4 2025
  • Q3 2025
  • Q2 2025
  • Q1 2025
  • Q4 2024
  • Q3 2024
  • Q2 2024
  • Q2 2023
  • Q3 2022
  • Q2 2022
  • Q1 2022
  1. Release notes
  2. Service updates

Yandex Data Processing release notes

Written by
Yandex Cloud
Updated at February 13, 2026
View in Markdown
  • Q4 2025
  • Q3 2025
  • Q2 2025
  • Q1 2025
  • Q4 2024
  • Q3 2024
  • Q2 2024
  • Q2 2023
  • Q3 2022
  • Q2 2022
  • Q1 2022

Q4 2025Q4 2025

  • Added a new host class: AMD Zen 4.
  • Added a dedicated IP address for UI Proxy: 158.160.167.170/32.
  • You can now specify a separate service account to manage VMs of an autoscaling subcluster when creating a cluster, creating an autoscaling cluster, or updating a cluster.

Q3 2025Q3 2025

In image 2.2.9 (beta), Apache Spark™ is updated to version 3.5.6.

Q2 2025Q2 2025

  • Added the OS Login option to use when creating a cluster. This option enables OS Login access to all hosts you create in the cluster.
  • Added support for environment variables:

    • HADOOP_HEAPSIZE_MIN and HADOOP_HEAPSIZE_MAX for the hadoop service:
      • hadoop.env:HADOOP_HEAPSIZE_MIN
      • hadoop.env:HADOOP_HEAPSIZE_MAX
    • HADOOP_HEAPSIZE for hive (available only for 2.0 images): hive.env:HADOOP_HEAPSIZE.

Q1 2025Q1 2025

In 2.2.X images, Java version updated to 11.

Q4 2024Q4 2024

  • Added environment selection (PRODUCTION / PRESTABLE) during cluster creation and modification.
  • In 2.2.X images, Python version updated to 3.1.

Q3 2024Q3 2024

  • Apache Hive™ Metastore cluster functionality has been integrated in Yandex MetaData Hub. For more information about Apache Hive™ Metastore clusters, see the Yandex MetaData Hub documentation.
  • In 2.1.X and 2.2.X images, Conda now uses Mamba as its default solver.

Q2 2024Q2 2024

A stable image version line 2.1 is now available. This update enables cluster creation with newer runtime versions: Spark 3.3.2 and Hadoop 3.3.2.

Q2 2023Q2 2023

Added support for creating Apache Hive™ Metastore clusters. This feature is currently in Preview.

Q3 2022Q3 2022

  • Added support for new configuration settings in the DataprocCreateClusterOperator Airflow operator.
  • Added cpu-optimized host classes configured with 2GB RAM per 1 vCPU core. The new configurations are exclusively available for Intel Ice Lake processors.
  • Published a guide for using initialization scripts to configure GeeseFS.

Q2 2022Q2 2022

  • Image version 2.1 is now available.
  • Added support for public internet access across all subcluster types.
  • Lightweight Spark support is now available starting with image version 2.0.39. You can now create a cluster without data storage subclusters because YARN and SPARK services are no longer dependent on HDFS.
  • Added support for initialization scripts in the CLI.

Q1 2022Q1 2022

  • You can now create clusters using non-replicated network drives up to 8 TB in size. Non-replicated drives have a simpler architecture than network SSD storage, resulting in significantly higher performance.
  • Added support for job cancellation.
  • Added the build number in Yandex Data Processing image version.
  • Spark and PySpark jobs now accept packages, repositories, and exclude_packages parameters. You can use these parameters to download additional dependencies and packages from third-party repositories.

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