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  <id>tag:google.com,2016:managed-spark-release-notes</id>
  <title>Managed Service for Apache Spark - Release notes</title>
  <link rel="self" href="https://docs.cloud.google.com/feeds/managed-spark-release-notes.xml"/>
  <author>
    <name>Google Cloud Platform</name>
  </author>
  <updated>2026-05-19T00:00:00-07:00</updated>

  <entry>
    <title>May 19, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#May_19_2026</id>
    <updated>2026-05-19T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#May_19_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/managed-spark/docs/concepts/versioning/image-version-lists#supported-dataproc-image-versions"><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine) subminor cluster image versions</a>:</p>
<ul>
<li>2.1.114-debian11, 2.1.114-rocky8, 2.1.114-ubuntu20, 2.1.114-ubuntu20-arm</li>
<li>2.2.82-debian12, 2.2.82-rocky9, 2.2.82-ubuntu22, 2.2.82-ubuntu22-arm</li>
<li>2.3.30-debian12, 2.3.30-ml-ubuntu22, 2.3.30-rocky9, 2.3.30-ubuntu22, 2.3.30-ubuntu22-arm</li>
</ul>
<h3>Breaking</h3>
<p><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine):
The configuration for Spark shuffle partitions (<code>spark.sql.shuffle.partitions</code>) has changed from an integer to a string type.</p>
<p>This change impacts image versions <code>2.3.30</code> and later in version <code>2.3</code>, and <code>2.2.82</code> and later in version <code>2.2</code>.</p>
<ul>
<li><strong>Impact:</strong> This change only affects users who are programmatically setting the configuration in code using <code>spark.conf.set()</code> with an integer literal.
<ul>
<li><strong>Impacted example:</strong> <code>spark.conf.set("spark.sql.shuffle.partitions", 100)</code></li>
</ul></li>
<li><strong>User action:</strong> Update your code to pass a string literal instead of an integer.
<ul>
<li><strong>Example fix:</strong> <code>spark.conf.set("spark.sql.shuffle.partitions", "100")</code></li>
</ul></li>
<li><strong>Not impacted:</strong> Setting the configuration via command-line arguments (e.g., <code>spark-submit --conf spark.sql.shuffle.partitions=100</code>), properties files, or Spark SQL commands (<code>spark.sql("SET spark.sql.shuffle.partitions=100")</code>) remains unaffected, as these methods naturally parse the input as strings.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>May 11, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#May_11_2026</id>
    <updated>2026-05-11T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#May_11_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/managed-spark/docs/concepts/versions/serverless-versions"><strong>Managed Service for Apache Spark</strong> (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions</a>:</p>
<ul>
<li>1.2.80</li>
<li>2.2.80</li>
<li>2.3.33</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>May 03, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#May_03_2026</id>
    <updated>2026-05-03T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#May_03_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions"><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine) subminor cluster image versions</a> for 3.0 (Preview):</p>
<ul>
<li>3.0.0-RC2-debian13, 3.0.0-RC2-ml-ubuntu24, 3.0.0-RC2-rocky9, 3.0.0-RC2-ubuntu24</li>
</ul>
<p><strong>Key updates in this release</strong>:</p>
<ul>
<li>The debian image for 3.0 is upgraded to <strong>Debian 13</strong>.</li>
<li>The default Java runtime is upgraded to <strong>Java 21</strong>.</li>
<li>Apache Hadoop upgraded to <strong>3.5.0</strong>.</li>
<li>Apache Spark upgraded to <strong>4.1.1</strong>.</li>
<li>Apache Hive upgraded to <strong>4.2.0</strong>.</li>
<li>Trino upgraded to <strong>480</strong>.</li>
<li>Apache Solr upgraded to <strong>9.10.1</strong>.</li>
<li>Apache Kafka upgraded to <strong>3.9.2</strong>.</li>
<li>Docker upgraded to <strong>28.1</strong>.</li>
<li>Apache Flink upgraded to <strong>2.2.0</strong>.</li>
<li>Scala upgraded to <strong>2.13.17</strong>.</li>
<li>Cloud Storage Connector upgraded to <strong>3.1.13</strong>.</li>
<li>Apache Zookeeper upgraded to <strong>3.9.5</strong>.</li>
<li>BigQuery Connector upgraded to <strong>0.44.1-Preview</strong>.</li>
<li>Zeppelin Notebook upgraded to <strong>0.12.0</strong>.</li>
<li>JupyterLab upgraded to <strong>4.5.7</strong>.</li>
<li><strong><a href="https://pixi.prefix.dev">Pixi</a></strong> is used as python package manager instead of conda.</li>
</ul>
<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/managed-spark/docs/concepts/versions/serverless-versions"><strong>Managed Service for Apache Spark</strong> (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions</a>:</p>
<ul>
<li>1.2.79</li>
<li>2.2.79</li>
<li>2.3.32</li>
</ul>
<p><strong>Key updates in this release</strong>:</p>
<ul>
<li>Upgraded Metastore Proxy version to <code>v0.0.79</code>.</li>
<li>Upgraded Spark RAPIDS to version <code>26.04.0</code> version in the Managed Service
for Apache Spark version <code>3.0</code> serverless runtime.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 27, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#April_27_2026</id>
    <updated>2026-04-27T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#April_27_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions"><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine) subminor cluster image versions</a>:</p>
<ul>
<li>2.1.113-debian11, 2.1.113-rocky8, 2.1.113-ubuntu20, 2.1.113-ubuntu20-arm</li>
<li>2.2.81-debian12, 2.2.81-rocky9, 2.2.81-ubuntu22, 2.2.81-ubuntu22-arm</li>
<li>2.3.29-debian12, 2.3.29-ml-ubuntu22, 2.3.29-rocky9, 2.3.29-ubuntu22, 2.3.29-ubuntu22-arm</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 16, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#April_16_2026</id>
    <updated>2026-04-16T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#April_16_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine): Announcing the following cluster features:</p>
<ul>
<li><a href="https://docs.cloud.google.com/dataproc/docs/concepts/configuring-clusters/flexible-vms">Flexible VMs</a>:  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.</li>
<li><a href="https://docs.cloud.google.com/dataproc/docs/concepts/configuring-clusters/scheduled-stop">Cluster Scheduled Stop</a>: 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.</li>
<li><a href="https://docs.cloud.google.com/dataproc/docs/guides/create-zero-scale-cluster#:%7E:text=Dataproc%20zero%2Dscale%20clusters%20provide,be%20scaled%20down%20to%20zero%2E">Zero-scale clusters</a>: Reduce costs by creating only secondary workers, scaling them down to zero when they are not in use.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 05, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#April_05_2026</id>
    <updated>2026-04-05T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#April_05_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/managed-spark/docs/concepts/versions/serverless-versions"><strong>Managed Service for Apache Spark</strong> (formerly Google Cloud Serverless for Apache Spark) subminor runtime versions</a>:</p>
<ul>
<li>1.2.78</li>
<li>2.2.78</li>
<li>2.3.31</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>April 03, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#April_03_2026</id>
    <updated>2026-04-03T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#April_03_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p><strong>Dataproc</strong> and <strong>Google Cloud Serverless for Apache Spark</strong> are now unified in the Google Cloud console under the <a href="https://console.cloud.google.com/dataproc/overview"><strong>Managed Service for Apache Spark</strong></a> 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. </p>
]]>
    </content>
  </entry>

  <entry>
    <title>April 02, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#April_02_2026</id>
    <updated>2026-04-02T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#April_02_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p><a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions"><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine) subminor cluster image versions</a>:</p>
<ul>
<li>2.3.28-debian12, 2.3.28-ml-ubuntu22, 2.3.28-rocky9, 2.3.28-ubuntu22, 2.3.28-ubuntu22-arm</li>
</ul>
<h3>Change</h3>
<ul>
<li><strong>Managed Service for Apache Spark</strong> (formerly Dataproc on Compute Engine): Upgraded Apache Zookeeper to version <code>3.9.5</code> in image version <code>2.3</code>.</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Upgraded Dataproc Metastore Proxy to v0.0.79 to fix CVEs.</li>
<li>Fixed CVEs CVE-2026-24308 and CVE-2026-24281.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 27, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_27_2026</id>
    <updated>2026-03-27T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_27_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.77</li>
<li>2.2.77</li>
<li>2.3.30</li>
<li>3.0.13</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 24, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_24_2026</id>
    <updated>2026-03-24T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_24_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.1.112-debian11, 2.1.112-rocky8, 2.1.112-ubuntu20, 2.1.112-ubuntu20-arm</li>
<li>2.2.80-debian12, 2.2.80-rocky9, 2.2.80-ubuntu22, 2.2.80-ubuntu22-arm</li>
<li>2.3.27-debian12, 2.3.27-ml-ubuntu22, 2.3.27-rocky9, 2.3.27-ubuntu22, 2.3.27-ubuntu22-arm</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 20, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_20_2026</id>
    <updated>2026-03-20T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_20_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.76</li>
<li>2.2.76</li>
<li>2.3.29</li>
<li>3.0.12</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 18, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_18_2026</id>
    <updated>2026-03-18T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_18_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.1.111-debian11, 2.1.111-rocky8, 2.1.111-ubuntu20, 2.1.111-ubuntu20-arm</li>
<li>2.2.79-debian12, 2.2.79-rocky9, 2.2.79-ubuntu22, 2.2.79-ubuntu22-arm</li>
<li>2.3.26-debian12, 2.3.26-ml-ubuntu22, 2.3.26-rocky9, 2.3.26-ubuntu22, 2.3.26-ubuntu22-arm</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Fixed CVEs CVE-2025-58057, CVE-2025-53864, CVE-2025-68161, CVE-2025-48924, and CVE-2025-33042.</li>
<li>Upgraded Dataproc Metastore Proxy to v0.0.78 to fix CVEs.</li>
<li>Default JDK is set to Temurin JDK - 11.0.30 in all <code>2.1</code>, <code>2.2</code> and <code>2.3</code> images.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 13, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_13_2026</id>
    <updated>2026-03-13T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_13_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.75</li>
<li>2.2.75</li>
<li>2.3.28</li>
<li>3.0.11</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 11, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_11_2026</id>
    <updated>2026-03-11T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_11_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p><strong>Dataproc on Compute Engine:</strong> The following subminor image versions announced on <a href="https://docs.cloud.google.com/dataproc/docs/release-notes#March_08_2026">March 08, 2026</a> have been rolled back:</p>
<ul>
<li>2.1.110-debian11, 2.1.110-rocky8, 2.1.110-ubuntu20, 2.1.110-ubuntu20-arm</li>
<li>2.2.78-debian12, 2.2.78-rocky9, 2.2.78-ubuntu22, 2.2.78-ubuntu22-arm</li>
<li>2.3.25-debian12, 2.3.25-ml-ubuntu22, 2.3.25-rocky9, 2.3.25-ubuntu22, 2.3.25-ubuntu22-arm</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 08, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_08_2026</id>
    <updated>2026-03-08T00:00:00-07:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_08_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.1.110-debian11, 2.1.110-rocky8, 2.1.110-ubuntu20, 2.1.110-ubuntu20-arm</li>
<li>2.2.78-debian12, 2.2.78-rocky9, 2.2.78-ubuntu22, 2.2.78-ubuntu22-arm</li>
<li>2.3.25-debian12, 2.3.25-ml-ubuntu22, 2.3.25-rocky9, 2.3.25-ubuntu22, 2.3.25-ubuntu22-arm</li>
</ul>
<p><strong>Rollback Notice:</strong> These image versions were rolled back on <a href="https://docs.cloud.google.com/dataproc/docs/release-notes#March_11_2026">March 11, 2026</a>.</p>
<h3>Fixed</h3>
<ul>
<li>Fixed CVEs CVE-2025-58057, CVE-2025-53864, CVE-2025-68161, CVE-2025-48924 (partial), and CVE-2025-33042.</li>
<li>Upgraded Dataproc Metastore Proxy to v0.0.78 to fix CVEs.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 06, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_06_2026</id>
    <updated>2026-03-06T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_06_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.74</li>
<li>2.2.74</li>
<li>2.3.27</li>
<li>3.0.10</li>
</ul>
<h3>Announcement</h3>
<p>Serverless for Apache Spark <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/spark-runtime-3.0">3.0</a> runtime version:</p>
<ul>
<li>Updated Spark version to <a href="https://spark.apache.org/releases/spark-release-4-0-1.html">4.0.1</a>.</li>
<li>Updated BigQuery Spark Connector version to <a href="https://github.com/GoogleCloudDataproc/spark-bigquery-connector/releases/tag/0.44.0">0.44.0</a>.</li>
<li>Applied patch for <a href="https://issues.apache.org/jira/browse/SPARK-52601">SPARK-52601</a>.</li>
<li>Applied patch for <a href="https://issues.apache.org/jira/browse/SPARK-52614">SPARK-52614</a>.</li>
</ul>
<h3>Announcement</h3>
<p>Serverless for Apache Spark <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/spark-runtime-1.2">1.2</a>, <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/spark-runtime-2.2">2.2</a> and <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/spark-runtime-2.3">2.3</a> runtime versions:</p>
<ul>
<li>Updated Delta Lake version to <a href="https://github.com/delta-io/delta/releases/tag/v3.2.1">3.2.1</a>.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>March 03, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#March_03_2026</id>
    <updated>2026-03-03T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#March_03_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.73</li>
<li>2.2.73</li>
<li>2.3.26</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 27, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_27_2026</id>
    <updated>2026-02-27T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_27_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.72</li>
<li>2.2.72</li>
<li>2.3.25</li>
<li>3.0.9</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 24, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_24_2026</id>
    <updated>2026-02-24T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_24_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.0.160-debian10, 2.0.160-rocky8, 2.0.160-ubuntu18</li>
<li>2.1.109-debian11, 2.1.109-rocky8, 2.1.109-ubuntu20, 2.1.109-ubuntu20-arm</li>
<li>2.2.77-debian12, 2.2.77-rocky9, 2.2.77-ubuntu22, 2.2.77-ubuntu22-arm</li>
<li>2.3.24-debian12, 2.3.24-ml-ubuntu22, 2.3.24-rocky9, 2.3.24-ubuntu22, 2.3.24-ubuntu22-arm</li>
</ul>
<h3>Fixed</h3>
<p>Fixed an issue that could cause <code>gsutil</code> failures on clusters using custom images built from new base images. This problem occurred when the gcloud <code>core/universe_domain</code> property was not set in the build environment, resulting in a malformed <code>/etc/boto.cfg</code>. The image build process now ensures a correct default configuration, restoring proper Google Cloud Storage connectivity.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>February 20, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_20_2026</id>
    <updated>2026-02-20T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_20_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.71</li>
<li>2.2.71</li>
<li>2.3.24</li>
<li>3.0.8</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 19, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_19_2026</id>
    <updated>2026-02-19T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_19_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>Hyperdisks can now be added to a Dataproc cluster.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>February 15, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_15_2026</id>
    <updated>2026-02-15T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_15_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.0.159-debian10, 2.0.159-rocky8, 2.0.159-ubuntu18</li>
<li>2.1.108-debian11, 2.1.108-rocky8, 2.1.108-ubuntu20, 2.1.108-ubuntu20-arm</li>
<li>2.2.76-debian12, 2.2.76-rocky9, 2.2.76-ubuntu22, 2.2.76-ubuntu22-arm</li>
<li>2.3.23-debian12, 2.3.23-ml-ubuntu22, 2.3.23-rocky9, 2.3.23-ubuntu22, 2.3.23-ubuntu22-arm</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 13, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_13_2026</id>
    <updated>2026-02-13T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_13_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.70</li>
<li>2.2.70</li>
<li>2.3.23</li>
<li>3.0.7</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>February 06, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_06_2026</id>
    <updated>2026-02-06T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_06_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.69</li>
<li>2.2.69</li>
<li>2.3.22</li>
<li>3.0.5</li>
</ul>
<h3>Feature</h3>
<p><strong>Serverless for Apache Spark:</strong> Added support for removing <code>conscrypt</code> 
from Serverless for Apache Spark <code>2.3</code>+ runtimes using the
<a href="https://docs.cloud.google.com/dataproc-serverless/docs/concepts/properties#other_properties"><code>dataproc.artifacts.remove</code></a>
property .</p>
<h3>Feature</h3>
<p><strong>Dataproc on Compute Engine:</strong> <a href="https://docs.cloud.google.com/dataproc/docs/support/diagnose-clusters#snapshot_diagnostic_data_collection">Sharing snapshot diagnostic data</a>: Setting the <code>--tarball-access=GOOGLE_DATAPROC_DIAGNOSE</code> flag with the <a href="https://docs.cloud.google.com/sdk/gcloud/reference/dataproc/clusters/diagnose"><code>gcloud dataproc clusters diagnose</code></a> command shares all of the output Cloud Storage bucket contents with Google Cloud support if <a href="https://docs.cloud.google.com/storage/docs/uniform-bucket-level-access">uniform bucket-level access</a> 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.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>February 05, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_05_2026</id>
    <updated>2026-02-05T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_05_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.0.158-debian10, 2.0.158-ubuntu18, 2.0.158-rocky8</li>
<li>2.1.107-debian11, 2.1.107-ubuntu20, 2.1.107-ubuntu20-arm, 2.1.107-rocky8</li>
<li>2.2.75-debian12, 2.2.75-ubuntu22, 2.2.75-ubuntu22-arm, 2.2.75-rocky9</li>
<li>2.3.22-debian12, 2.3.22-ml-ubuntu22, 2.3.22-rocky9, 2.3.22-ubuntu22, 2.3.22-ubuntu22-arm</li>
</ul>
<h3>Feature</h3>
<p>Zookeeper version upgraded to 3.9.4 in Dataproc image 2.3.22.</p>
<h3>Feature</h3>
<p>Parquet CLI version upgraded to 1.15.2 in 2.1 and 2.2 images.</p>
<h3>Feature</h3>
<p>Delta subminor version upgraded to 3.2.1 in Dataproc on Compute Engine image 2.2 and 2.3.</p>
<h3>Feature</h3>
<p>Apache Pig is now available in ARM images.</p>
<h3>Feature</h3>
<p>Added a new <code>dataproc:pypi.repository</code> property to customize the PyPI repository used for pip. The value can be a URL, or <code>google</code> to use a Google-hosted cache of PyPI, accessible without public internet connectivity. Starting in image version 3.1, <code>google</code> will be the default; to opt out and return to public PyPI, use the value <code>pypi</code>.</p>
<h3>Change</h3>
<p>Removed use of deprecated Hadoop configuration properties <code>fs.default.name</code> and <code>yarn.resourcemanager.system-metrics-publisher.enabled</code>.</p>
<h3>Fixed</h3>
<p>Fixed a bug in the ARM image that prevented connecting to a Dataproc Metastore instance with a gRPC protocol endpoint.</p>
<h3>Fixed</h3>
<p>Fixed the <code>spark.driver.extraClassPath</code> delimiter for the Jupyter SparkMonitor Listener.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>February 04, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#February_04_2026</id>
    <updated>2026-02-04T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#February_04_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p><strong>Upcoming Spark data lineage changes</strong> See the upcoming May,
2026 Dataproc and Serverless for Apache Spark release notes for an announcement
of a change that will automatically enable
<a href="https://docs.cloud.google.com/dataproc/docs/guides/spark-lineage">Dataproc Spark data lineage</a> and
<a href="https://docs.cloud.google.com/dataproc-serverless/docs/guides/data-lineage">Serverless for Apache Spark data lineage</a>
when you enable the Data Lineage API (see
<a href="https://docs.cloud.google.com/dataplex/docs/use-lineage#control-ingestion">Control lineage ingestion for a service</a>)
without requiring additional project, cluster, batch workload, or
interactive session settings.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>January 30, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#January_30_2026</id>
    <updated>2026-01-30T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#January_30_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>3.0.4</li>
</ul>
<h3>Announcement</h3>
<p><strong>Dataproc on Compute Engine:</strong> The following subminor image versions announced on <a href="https://docs.cloud.google.com/dataproc/docs/release-notes#January_24_2026">January 24, 2026</a> have been rolled back:</p>
<ul>
<li>2.0.157-debian10, 2.0.157-ubuntu18, 2.0.157-rocky8</li>
<li>2.1.106-debian11, 2.1.106-ubuntu20, 2.1.106-ubuntu20-arm, 2.1.106-rocky8</li>
<li>2.2.74-debian12, 2.2.74-ubuntu22, 2.2.74-ubuntu22-arm, 2.2.74-rocky9</li>
<li>2.3.21-debian12, 2.3.21-ml-ubuntu22, 2.3.21-rocky9, 2.3.21-ubuntu22, 2.3.21-ubuntu22-arm</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>January 24, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#January_24_2026</id>
    <updated>2026-01-24T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#January_24_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://docs.cloud.google.com/dataproc/docs/concepts/versioning/dataproc-version-clusters#supported-dataproc-image-versions">Dataproc on Compute Engine subminor image versions</a>:</p>
<ul>
<li>2.0.157-debian10, 2.0.157-ubuntu18, 2.0.157-rocky8</li>
<li>2.1.106-debian11, 2.1.106-ubuntu20, 2.1.106-ubuntu20-arm, 2.1.106-rocky8</li>
<li>2.2.74-debian12, 2.2.74-ubuntu22, 2.2.74-ubuntu22-arm, 2.2.74-rocky9</li>
<li>2.3.21-debian12, 2.3.21-ml-ubuntu22, 2.3.21-rocky9, 2.3.21-ubuntu22, 2.3.21-ubuntu22-arm</li>
</ul>
<p><strong>Rollback Notice:</strong> These image versions were rolled back on <a href="https://docs.cloud.google.com/dataproc/docs/release-notes#January_30_2026">January 30, 2026</a>.</p>
<h3>Feature</h3>
<p>Upgraded the Delta subminor version to <code>3.2.1</code> in images <code>2.2</code> and <code>2.3</code>.</p>
<h3>Feature</h3>
<p>Apache Pig is now available in ARM images.</p>
<h3>Feature</h3>
<p>Added a new <code>dataproc:pypi.repository</code> property to customize the PyPI repository that <code>pip</code> uses.
The value can be a internet-accessible URL, or you can specify <code>google</code> to use a Google-hosted cache of PyPI, which
is accessible without public internet connectivity. Starting with Managed Service for Apache Spark image version
<code>3.1</code>, <code>google</code> will be the default (you can specify the <code>pypi</code> property value to use public PyPI instead of the default <code>google</code> 3.1 value).</p>
<h3>Change</h3>
<p>Removed the use of deprecated Hadoop configuration properties <code>fs.default.name</code> and
<code>yarn.resourcemanager.system-metrics-publisher.enabled</code>.</p>
<h3>Fixed</h3>
<p>Fixed a bug in the ARM image that prevented connecting to a Dataproc Metastore instance with a
gRPC protocol endpoint.</p>
<h3>Fixed</h3>
<p>Fixed the <code>spark.driver.extraClassPath</code> delimiter for the Jupyter SparkMonitor Listener.</p>
]]>
    </content>
  </entry>

  <entry>
    <title>January 23, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#January_23_2026</id>
    <updated>2026-01-23T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#January_23_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p>New <a href="https://cloud.google.com/dataproc-serverless/docs/concepts/versions/dataproc-serverless-versions">Serverless for Apache Spark runtime versions</a>:</p>
<ul>
<li>1.2.67</li>
<li>2.2.67</li>
<li>2.3.20</li>
<li>3.0.3</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Applied patch for <a href="https://issues.apache.org/jira/browse/SPARK-48292">SPARK-48292</a> in Serverless for Apache Spark <a href="https://docs.cloud.google.com/dataproc-serverless/docs/concepts/versions/spark-runtime-1.2">1.2</a> and <a href="https://docs.cloud.google.com/dataproc-serverless/docs/concepts/versions/spark-runtime-2.2">2.2</a> runtimes.</li>
</ul>
]]>
    </content>
  </entry>

  <entry>
    <title>January 13, 2026</title>
    <id>tag:google.com,2016:managed-spark-release-notes#January_13_2026</id>
    <updated>2026-01-13T00:00:00-08:00</updated>
    <link rel="alternate" href="https://docs.cloud.google.com/managed-spark/docs/release-notes#January_13_2026"/>
    <content type="html"><![CDATA[<h3>Announcement</h3>
<p><strong>Dataproc on Compute Engine:</strong> The following subminor image versions announced on <a href="https://docs.cloud.google.com/dataproc/docs/release-notes#January_06_2026">January 06, 2026</a> have been rolled back:</p>
<ul>
<li>2.0.156-debian10, 2.0.156-ubuntu18, 2.0.156-rocky8</li>
<li>2.1.105-debian11, 2.1.105-ubuntu20, 2.1.105-ubuntu20-arm, 2.1.105-rocky8</li>
<li>2.2.73-debian12, 2.2.73-ubuntu22, 2.2.73-ubuntu22-arm, 2.2.73-rocky9</li>
<li>2.3.20-debian12, 2.3.20-ml-ubuntu22, 2.3.20-rocky9, 2.3.20-ubuntu22, 2.3.20-ubuntu22-arm</li>
</ul>
]]>
    </content>
  </entry>

</feed>
