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Posted to reviews@spark.apache.org by "zhengruifeng (via GitHub)" <gi...@apache.org> on 2026/08/20 12:46:23 UTC

[PR] [SPARK-58906][ML][PYTHON] Make vector and matrix UDTs singletons [spark]

zhengruifeng opened a new pull request, #58166:
URL: https://github.com/apache/spark/pull/58166

   ### What changes were proposed in this pull request?
   
   This PR makes the Python ML vector and matrix UDT implementations singletons by using
   the existing `DataTypeSingleton` metaclass:
   
   - `pyspark.ml.linalg.VectorUDT`
   - `pyspark.ml.linalg.MatrixUDT`
   - `pyspark.mllib.linalg.VectorUDT`
   - `pyspark.mllib.linalg.MatrixUDT`
   
   It also adds tests that repeated constructor calls and schema JSON round-trips return the
   same UDT instance.
   
   This follows the same singleton reuse direction as
   https://github.com/apache/spark/pull/57757, which reused the canonical ML vector data
   type to avoid repeated equivalent UDT allocations.
   
   ### Why are the changes needed?
   
   These UDT classes are stateless. Reusing one Python instance avoids repeated equivalent
   allocations and keeps schema round-trips consistent with the singleton behavior already
   used by stateless SQL data types.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Added focused tests for both `pyspark.ml.linalg` and `pyspark.mllib.linalg` UDTs.
   
   Also ran:
   
   ```
   git diff --check
   grep -rn -P "[^\x00-\x7F]" python/pyspark/ml/linalg/__init__.py python/pyspark/mllib/linalg/__init__.py python/pyspark/ml/tests/test_linalg.py python/pyspark/mllib/tests/test_linalg.py
   awk 'length>100 && $0 !~ /^[[:space:]]*(import|package) / && $0 !~ /https?:\/\// {print FILENAME":"FNR": "length" chars"}' python/pyspark/ml/linalg/__init__.py python/pyspark/mllib/linalg/__init__.py python/pyspark/ml/tests/test_linalg.py python/pyspark/mllib/tests/test_linalg.py
   ```
   
   The full PySpark test suites were not run locally.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: Codex (GPT-5)
   


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Re: [PR] [SPARK-58906][ML][PYTHON] Make vector and matrix UDTs singletons [spark]

Posted by "zhengruifeng (via GitHub)" <gi...@apache.org>.
zhengruifeng commented on PR #58166:
URL: https://github.com/apache/spark/pull/58166#issuecomment-5363462357

   **Merge Summary:**
   - merged into master https://github.com/apache/spark/commit/0cedfe547eae06097529699268b199f7cd4f7d50
   - merged into branch-4.x https://github.com/apache/spark/commit/4937c8ccdd58d3664caf4cd501ff430d0f278b22
   
   *Posted by `merge_spark_pr.py`*


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Re: [PR] [SPARK-58906][ML][PYTHON] Make vector and matrix UDTs singletons [spark]

Posted by "uros-b (via GitHub)" <gi...@apache.org>.
uros-b commented on PR #58166:
URL: https://github.com/apache/spark/pull/58166#issuecomment-5362585156

   +1!


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Re: [PR] [SPARK-58906][ML][PYTHON] Make vector and matrix UDTs singletons [spark]

Posted by "zhengruifeng (via GitHub)" <gi...@apache.org>.
zhengruifeng closed pull request #58166: [SPARK-58906][ML][PYTHON] Make vector and matrix UDTs singletons
URL: https://github.com/apache/spark/pull/58166


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