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| <h2>Spark Release 3.0.2</h2> |
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| <p>Spark 3.0.2 is a maintenance release containing stability fixes. This release is based on the branch-3.0 maintenance branch of Spark. We strongly recommend all 3.0 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-31511">[SPARK-31511]</a>: Make BytesToBytesMap iterator() thread-safe</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32635">[SPARK-32635]</a>: When pyspark.sql.functions.lit() function is used with dataframe cache, it returns wrong result</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32753">[SPARK-32753]</a>: Deduplicating and repartitioning the same column create duplicate rows with AQE</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32764">[SPARK-32764]</a>: compare of -0.0 < 0.0 return true</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32840">[SPARK-32840]</a>: Invalid interval value can happen to be just adhesive with the unit</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32908">[SPARK-32908]</a>: percentile_approx() returns incorrect results</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33019">[SPARK-33019]</a>: Use spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=1 by default</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33183">[SPARK-33183]</a>: Bug in optimizer rule EliminateSorts</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33260">[SPARK-33260]</a>: SortExec produces incorrect results if sortOrder is a Stream</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33290">[SPARK-33290]</a>: SPARK-33507 REFRESH TABLE should invalidate cache even though the table itself may not be cached</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33358">[SPARK-33358]</a>: Spark SQL CLI command processing loop can’t exit while one comand fail</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33404">[SPARK-33404]</a>: “date_trunc” expression returns incorrect results</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33435">[SPARK-33435]</a>: SPARK-33507 DSv2: REFRESH TABLE should invalidate caches</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33591">[SPARK-33591]</a>: NULL is recognized as the “null” string in partition specs</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33593">[SPARK-33593]</a>: Vector reader got incorrect data with binary partition value</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33726">[SPARK-33726]</a>: Duplicate field names causes wrong answers during aggregation</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33819">[SPARK-33819]</a>: SingleFileEventLogFileReader/RollingEventLogFilesFileReader should be <code class="language-plaintext highlighter-rouge">package private</code></li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33950">[SPARK-33950]</a>: ALTER TABLE .. DROP PARTITION doesn’t refresh cache</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34011">[SPARK-34011]</a>: ALTER TABLE .. RENAME TO PARTITION doesn’t refresh cache</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34027">[SPARK-34027]</a>: ALTER TABLE .. RECOVER PARTITIONS doesn’t refresh cache</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34055">[SPARK-34055]</a>: ALTER TABLE .. ADD PARTITION doesn’t refresh cache</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34187">[SPARK-34187]</a>: Use available offset range obtained during polling when checking offset validation</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34212">[SPARK-34212]</a>: For parquet table, after changing the precision and scale of decimal type in hive, spark reads incorrect value</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34213">[SPARK-34213]</a>: LOAD DATA doesn’t refresh v1 table cache</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34229">[SPARK-34229]</a>: Avro should read decimal values with the file schema</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34262">[SPARK-34262]</a>: ALTER TABLE .. SET LOCATION doesn’t refresh v1 table cache</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><a href="https://issues.apache.org/jira/browse/SPARK-32691">[SPARK-32691]</a>: Bump commons-crypto to v1.1.0</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33831">[SPARK-33831]</a>: Update Jetty to 9.4.34</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33725">[SPARK-33725]</a>: Upgrade snappy-java to 1.1.8.2</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-33405">[SPARK-33405]</a>: Upgrade commons-compress to 1.20</li> |
| </ul> |
| |
| <h3 id="known-issues">Known issues</h3> |
| <ul> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-34449">[SPARK-34449]</a>: Upgrade Jetty to 9.4.36</li> |
| </ul> |
| |
| <p>You can consult JIRA for the <a href="https://s.apache.org/spark-3.0.2">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-3-4-3-released.html">Spark 3.4.3 released</a> |
| <span class="small">(Apr 18, 2024)</span></li> |
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