Comments (1)
solved by dask/distributed #8038
just upgrade msgpack-python and solve this problem
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Related Issues (20)
- Dataframe constructed from single partition bag cannot be shuffled with query planning enabled HOT 2
- dask.dataframe.DataFrame.reduction fails on`split_every=False` if query planning is in effect HOT 1
- as of v2024.3.1, comparing a 1D dask.array.Array to a dask.dataframe.Series fails HOT 1
- value_counts with NaN sometimes raises ValueError: No objects to concatenate HOT 2
- .loc fails to select columns from boolean array (after dask-exp update)
- Minimal dd.to_datetime to convert a string column no longer works
- ``new_dd_object``'s array logic always assumes the metadata is ``numpy``
- `vindex` as outer indexer: memory and time performance
- Hash join transfer with error cannot pickle '_contextvars.ContextVar' object HOT 6
- `set_index` returns the divisions instead of the dataframe with query planning enabled
- Preserving divisions when reading/loading dataframes with structs containing multiple fields HOT 1
- Incorrect shape computation with getitem and structured numpy array
- Poor scheduling with `flox`, leading to high memory usage and eventual failure HOT 7
- Does not work with AWS - aiobotocore related error HOT 2
- Print functions are wrong inside of map_blocks HOT 2
- Column aggregation with "list" produces incorrect output HOT 2
- dask-expr with drop_duplicates messes with dtypes HOT 4
- Azure Functions using dask raise unexpected "AttributeError: 'function' object has no attribute 'fs'" for io operations HOT 6
- Incompatibility with python 3.11.9 HOT 2
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