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| <h2>Spark Release 3.0.1</h2> |
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| <p>Spark 3.0.1 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-26905">[SPARK-26905]</a>: Revisit reserved/non-reserved keywords based on the ANSI SQL standard</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31220">[SPARK-31220]</a>: repartition obeys spark.sql.adaptive.coalescePartitions.initialPartitionNum when spark.sql.adaptive.enabled</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31703">[SPARK-31703]</a>: Changes made by SPARK-26985 break reading parquet files correctly in BigEndian architectures (AIX + LinuxPPC64)</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31915">[SPARK-31915]</a>: Resolve the grouping column properly per the case sensitivity in grouped and cogrouped pandas UDFs</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31923">[SPARK-31923]</a>: Event log cannot be generated when some internal accumulators use unexpected types</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31935">[SPARK-31935]</a>: Hadoop file system config should be effective in data source options</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31968">[SPARK-31968]</a>: write.partitionBy() creates duplicate subdirectories when user provides duplicate columns</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31983">[SPARK-31983]</a>: Tables of structured streaming tab show wrong result for duration column</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31990">[SPARK-31990]</a>: Streaming’s state store compatibility is broken</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32003">[SPARK-32003]</a>: Shuffle files for lost executor are not unregistered if fetch failure occurs after executor is lost</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32038">[SPARK-32038]</a>: Regression in handling NaN values in COUNT(DISTINCT)</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32073">[SPARK-32073]</a>: Drop R < 3.5 support</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32092">[SPARK-32092]</a>: CrossvalidatorModel does not save all submodels (it saves only 3)</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32136">[SPARK-32136]</a>: Spark producing incorrect groupBy results when key is a struct with nullable properties</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32148">[SPARK-32148]</a>: LEFT JOIN generating non-deterministic and unexpected result (regression in Spark 3.0)</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32220">[SPARK-32220]</a>: Cartesian Product Hint cause data error</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32310">[SPARK-32310]</a>: ML params default value parity</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32339">[SPARK-32339]</a>: Improve MLlib BLAS native acceleration docs</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32424">[SPARK-32424]</a>: Fix silent data change for timestamp parsing if overflow happens</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32451">[SPARK-32451]</a>: Support Apache Arrow 1.0.0 in SparkR</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32456">[SPARK-32456]</a>: Check the Distinct by assuming it as Aggregate for Structured Streaming</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32608">[SPARK-32608]</a>: Script Transform DELIMIT value should be formatted</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32646">[SPARK-32646]</a>: ORC predicate pushdown should work with case-insensitive analysis</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32658">[SPARK-32658]</a>: Partition length number overflow in PartitionWriterStream</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32676">[SPARK-32676]</a>: Fix double caching in KMeans/BiKMeans</li> |
| </ul> |
| |
| <h3 id="known-issues">Known issues</h3> |
| <ul> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-31511">[SPARK-31511]</a>: Make BytesToBytesMap iterator() thread-safe. This will be fixed in Spark 3.0.2.</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32779">[SPARK-32779]</a>: Spark/Hive3 interaction potentially causes deadlock. This will be fixed in Spark 3.0.2.</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32788">[SPARK-32788]</a>: non-partitioned table scan should not have partition filter. This will be fixed in Spark 3.0.2.</li> |
| <li><a href="https://issues.apache.org/jira/browse/SPARK-32810">[SPARK-32810]</a>: CSV/JSON data sources should avoid globbing paths when inferring schema. This will be fixed in Spark 3.0.2.</li> |
| </ul> |
| |
| <p>You can consult JIRA for the <a href="https://s.apache.org/spark-3.0.1">detailed changes</a>.</p> |
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| <p>We would like to acknowledge all community members for contributing patches to this release.</p> |
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| <h5>Latest News</h5> |
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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> |
| <span class="small">(Sep 13, 2023)</span></li> |
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