Support customizing how built-in types are pickled #563
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Cloudpickle's Pickler class either inherits from pickle.Pickler. pickle.Pickler is either the C implementation of the CPython pickler or a pure-Python pickler. Only the pure-Python pickler supports customizing how built-in types are pickled. This change introduces a PurePythonPickler class which inherits from pickle._Pickler and supports customizing how built-in types are pickled. The Pickler class continues to inherit from the faster C implementation when it is available. Providing a means of customizing how built-in types are pickled enables users to implement deterministic pickling for set and frozenset. See: cloudpipe#453
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@ogrisel is this a reasonable change? |
tvalentyn
approved these changes
Mar 31, 2025
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Thanks @AdrS , the changes look reasonable to me and will make it easier to use cloudpickle in Apache Beam. Hi @ogrisel ! would you be able to help us find a reviewer for this change or help take a look at this contribution? Thank you so much! Please let us know if you have any questions or concerns. |
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@ogrisel just a friendly reminder that we are waiting for your feedback on the course of action here. Thanks! |
AdrS
added a commit
to AdrS/beam
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this pull request
Apr 21, 2025
This is to enable customizing how sets are serialized to increase the pickling determinism. I'm modifying the vendored cloudpickle as a stop-gap measure until the cloudpickle maintainers review cloudpipe/cloudpickle#563. Issue: apache#34410
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It looks like @ogrisel might not be available for review right now. |
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Cloudpickle's Pickler class inherits from pickle.Pickler. pickle.Pickler is either the C implementation of the CPython pickler or a pure-Python pickler. Only the pure-Python pickler supports customizing how built-in types are pickled. This change introduces a PurePythonPickler class which inherits from pickle._Pickler and supports customizing how built-in types are pickled. The Pickler class continues to inherit from the faster C implementation when it is available. The implementation uses multiple inheritance and delegates calls to the proxy object of the second-in-MRO order superclass. The reason is to preserve most of the behavior of the stock pickler while minimizing changes to the cloudpickle.
Providing a means of customizing how built-in types are pickled will enable Apache Beam to implement (mostly) deterministic pickling for set and frozenset and increase the cache hit rate for workflows. See: #453