Removed pickling of closed files as it doesn't work with py3 and was strange anyway #32
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Contributor
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I am +1 for dropping this if nobody has a use case for that. @JoshRosen @davies @twneale do you think this "feature" has ever been used by PySpark users? |
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I'm +1 for dropping, though it could just be a feature for Python 2.x only. |
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Probably a +1 from me as well--I can't image any situation where this would actually be used, in 3.x or 2.x. |
Contributor
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Thanks all for the feedback. Merging. |
ogrisel
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Apr 20, 2015
Removed pickling of closed files as it doesn't work with py3 and was strange anyway
rgbkrk
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Jun 12, 2017
This brings in fixes and upgrades from the [cloudpickle](https://github.com/cloudpipe/cloudpickle) module, notably: * Import submodules accessed by pickled functions (cloudpipe/cloudpickle#80) * Support recursive functions inside closures (cloudpipe/cloudpickle#89, cloudpipe/cloudpickle#90) * Fix ResourceWarnings and DeprecationWarnings (cloudpipe/cloudpickle#88) * Assume modules with __file__ attribute are not dynamic (cloudpipe/cloudpickle#85) * Make cloudpickle Python 3.6 compatible (cloudpipe/cloudpickle#72) * Allow pickling of builtin methods (cloudpipe/cloudpickle#57) * Add ability to pickle dynamically created modules (cloudpipe/cloudpickle#52) * Support method descriptor (cloudpipe/cloudpickle#46) * No more pickling of closed files, was broken on Python 3 (cloudpipe/cloudpickle#32)
ghost
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Aug 22, 2017
## What changes were proposed in this pull request? Based on apache#18282 by rgbkrk this PR attempts to update to the current released cloudpickle and minimize the difference between Spark cloudpickle and "stock" cloud pickle with the goal of eventually using the stock cloud pickle. Some notable changes: * Import submodules accessed by pickled functions (cloudpipe/cloudpickle#80) * Support recursive functions inside closures (cloudpipe/cloudpickle#89, cloudpipe/cloudpickle#90) * Fix ResourceWarnings and DeprecationWarnings (cloudpipe/cloudpickle#88) * Assume modules with __file__ attribute are not dynamic (cloudpipe/cloudpickle#85) * Make cloudpickle Python 3.6 compatible (cloudpipe/cloudpickle#72) * Allow pickling of builtin methods (cloudpipe/cloudpickle#57) * Add ability to pickle dynamically created modules (cloudpipe/cloudpickle#52) * Support method descriptor (cloudpipe/cloudpickle#46) * No more pickling of closed files, was broken on Python 3 (cloudpipe/cloudpickle#32) * ** Remove non-standard __transient__check (cloudpipe/cloudpickle#110)** -- while we don't use this internally, and have no tests or documentation for its use, downstream code may use __transient__, although it has never been part of the API, if we merge this we should include a note about this in the release notes. * Support for pickling loggers (yay!) (cloudpipe/cloudpickle#96) * BUG: Fix crash when pickling dynamic class cycles. (cloudpipe/cloudpickle#102) ## How was this patch tested? Existing PySpark unit tests + the unit tests from the cloudpickle project on their own. Author: Holden Karau <[email protected]> Author: Kyle Kelley <[email protected]> Closes apache#18734 from holdenk/holden-rgbkrk-cloudpickle-upgrades.
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When trying to pickle closed files, In PiCloud, a empty StringIO was created, closed (which means nobody could read its contents ever) and pickled. This is not particularly useful server side.
Py3 doesn't like to pickle a closed StringIO.
So in this PR I suggest we drop this "feature".