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__version__ = '1.12.0' | ||
__version__ = '1.12.1' |
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1.12.1 | ||
------ | ||
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This release is largely a bugfix release, recovering from the previous large | ||
refactor. | ||
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* Fixes from previous refactor | ||
* Ensure idempotence across clients | ||
* Stress test losing scattered data permanently | ||
* | ||
* IPython fixes | ||
* Add `start_ipython_scheduler` method to Executor | ||
* Add `%remote` magic for workers | ||
* Clean up code and tests | ||
* Pool connects to maintain reuse and reduce number of open file handles | ||
* Re-implement work stealing algorithm | ||
* Support cancellation of tuple keys, such as occur in dask.arrays | ||
* Start synchronizing against worker data that may be superfluous | ||
* Improve bokeh plots styling | ||
* Add memory plot tracking number of bytes | ||
* Make the progress bars more compact and align colors | ||
* Add workers/ page with workers table, stacks/processing plot, and memory | ||
* Add this release notes document | ||
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1.12.0 | ||
------ | ||
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This release was largely a refactoring release. Internals were changed | ||
significantly without many new features. | ||
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* Major refactor of the scheduler to use transitions system | ||
* Tweak protocol to traverse down complex messages in search of large | ||
bytestrings | ||
* Add dask-submit and dask-remote | ||
* Refactor HDFS writing to align with changes in the dask library | ||
* Executor reconnects to scheduler on broken connection or failed scheduler | ||
* Support sklearn.external.joblib as well as normal joblib |
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