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| <h2>Spark Release 2.4.6</h2> |
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| <p>Spark 2.4.6 is a maintenance release containing stability, correctness, and security fixes. This release is based on the branch-2.4 maintenance branch of Spark. We strongly recommend all 2.4 users to upgrade to this stable release.</p> |
| |
| <h3 id="notable-changes">Notable changes</h3> |
| <ul> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-29419">[SPARK-29419]</a>: Seq.toDS / spark.createDataset(Seq) is not thread-safe</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31519">[SPARK-31519]</a>: Cast in having aggregate expressions returns the wrong result</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-26293">[SPARK-26293]</a>: Cast exception when having python udf in subquery</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-30826">[SPARK-30826]</a>: LIKE returns wrong result from external table using parquet</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-30857">[SPARK-30857]</a>: Wrong truncations of timestamps before the epoch to hours and days</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31256">[SPARK-31256]</a>: Dropna doesn’t work for struct columns</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31312">[SPARK-31312]</a>: Transforming Hive simple UDF (using JAR) expression may incur CNFE in later evaluation</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31420">[SPARK-31420]</a>: Infinite timeline redraw in job details page</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31485">[SPARK-31485]</a>: Barrier stage can hang if only partial tasks launched</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31500">[SPARK-31500]</a>: collect_set() of BinaryType returns duplicate elements</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31503">[SPARK-31503]</a>: fix the SQL string of the TRIM functions</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31663">[SPARK-31663]</a>: Grouping sets with having clause returns the wrong result</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-26908">[SPARK-26908]</a>: Fix toMilis</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31563">[SPARK-31563]</a>: Failure of Inset.sql for UTF8String collection</li> |
| </ul> |
| |
| <h3 id="dependency-changes">Dependency Changes</h3> |
| |
| <p>While being a maintence release we did still upgrade some dependencies in this release they are:</p> |
| <ul> |
| <li>netty-all to 4.1.47.Final (<a href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-20445">[CVE-2019-20445]</a>)</li> |
| <li>Janino to 3.0.16 (SQL Generated code)</li> |
| <li>aws-java-sdk-sts to 1.11.655 (required for kinesis client upgrade)</li> |
| <li>snappy 1.1.7.5 (stability improvements & ppc64le performance)</li> |
| </ul> |
| |
| <h3 id="known-issues">Known issues</h3> |
| <ul> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31170">[SPARK-31170]</a>: Spark Cli does not respect hive-site.xml and spark.sql.warehouse.dir</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-26021">[SPARK-26021]</a>: -0.0 and 0.0 not treated consistently, doesn’t match Hive</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-26154">[SPARK-26154]</a>: Stream-stream joins - left outer join gives inconsistent outpu</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-28344">[SPARK-28344]</a>: Fail the query if detect ambiguous self join</li> |
| </ul> |
| |
| <p>You can consult JIRA for the <a href="https://s.apache.org/spark-2.4.6">detailed changes</a>.</p> |
| |
| <p>We would like to acknowledge all community members for contributing patches to this release.</p> |
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| <li><a href="/news/spark-3-5-1-released.html">Spark 3.5.1 released</a> |
| <span class="small">(Feb 23, 2024)</span></li> |
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| <li><a href="/news/spark-3-3-4-released.html">Spark 3.3.4 released</a> |
| <span class="small">(Dec 16, 2023)</span></li> |
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| <li><a href="/news/spark-3-4-2-released.html">Spark 3.4.2 released</a> |
| <span class="small">(Nov 30, 2023)</span></li> |
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| <li><a href="/news/spark-3-5-0-released.html">Spark 3.5.0 released</a> |
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