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| <h2>Plan for dropping Python 2 support</h2> |
| |
| |
| <p>As many of you already knew, Python core development team and many utilized Python packages like |
| Pandas and NumPy will drop Python 2 support in or before 2020/01/01. |
| Apache Spark has supported both Python 2 and 3 since Spark 1.4 release in 2015. |
| However, maintaining Python 2/3 compatibility is an increasing burden and it essentially limits |
| the use of Python 3 features in Spark. |
| Given the end of life (EOL) of Python 2 is coming, we plan to eventually drop Python 2 support as |
| well. The current plan is as follows:</p> |
| |
| <ul> |
| <li>In the next major release in 2019, we will deprecate Python 2 support. |
| PySpark users will see a deprecation warning if Python 2 is used. |
| We will publish a migration guide for PySpark users to migrate to Python 3.</li> |
| <li>We will drop Python 2 support in a future release (excluding patch release) in 2020, |
| after Python 2 EOL on 2020/01/01. PySpark users will see an error if Python 2 is used.</li> |
| <li>For releases that support Python 2, e.g., Spark 2.4, their patch releases will continue supporting |
| Python 2. However, after Python 2 EOL, we might not take patches that are specific to Python 2.</li> |
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| <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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| <span class="small">(Nov 30, 2023)</span></li> |
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