Comments (2)
mrocklin
commented on May 12, 2024
This is mostly solved by cachey and #502 . This could still use actual use on real problems but, for the most part, this feels done.
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phrrngtn
commented on May 12, 2024
great! I only just recently got my own 'expression tree rewriting' stuff
done: execute our Python-based internal DSL with what is essentially a
mocked out implementation and run a visitor on the tree to rewrite it to
the 'real' implementation. I will attempt a visitor that targets dasks and
cachey.
pjjH
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Related Issues (20)
- Docs build failing
- DEPR: pandas 3.0 deprecations and the migration to dask-expr
- Unexpected Results Caused by BigInt ID in numpy linspace HOT 1
- Add a `.__wrapped__` (or similar) attribute for `@dask.delayed`-decorated functions HOT 3
- Unstable grouping result when calling groupby apply on merged dask dataframes with missing values HOT 3
- `isinstance(Future, Future)` evaluates to `False` HOT 1
- linalg.solve has unexpected TypeError with cupy HOT 3
- Applying `functools.partial()` to a `@delayed`-decorated function changes the execution behavior
- Shuffle-based drop duplicates produces incorrect result with ``shuffle="p2p"`` HOT 10
- `read_parquet` doesn't handle nested objects (dicts, arrays) HOT 1
- Docs page for dask.dataframe.to_parquet doesn't include None option for compression param
- Nice visual for docs page HOT 4
- `test_split_adaptive_aggregate_files` failing on main HOT 4
- Deprecate ``shuffle`` keyword in favour of ``shuffle_method`` for DataFrame methods HOT 5
- Deprecate fastparquet engine for read_parquet to enable switch to dask-expr HOT 1
- Boolean logic with shift seems broken
- Setup unit test overview and test report HOT 1
- Breaking of concurrency when calling `dask.delayed` inside a `@dask.delayed`-decorated function HOT 5
- Deprecate ``npartitions="auto"`` for set_index and sort_values
- Deprecate compute keyword for set_index HOT 2
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