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Is your feature request related to a problem? Please describe.
Currently many functionalities/tests do not work when dask query planning is enabled (Default dask behavior).
This is an issue to track the gaps for query planning to work with Curator
FuzzyDuplicates
Melt (now supported in 24.06)
Custom blockwise/hlg logic in shuffle/merge steps
TestShuffle
Specifically around dataset.df[self.rand_col] = dataset.df.map_partitions(self._add_rand_col)
TypeError: Expected Pandas-like Index, Series, DataFrame, or scalar, got numpy.ndarray
The text was updated successfully, but these errors were encountered:
@ayushdg - I'd like to start working on this. Do you want to support both query-planning "on" and "off" moving forward? It may be a bit hard to do this without a bunch of compatibly code.
Also, note that melt should now be supported with cudf-2406.
Is your feature request related to a problem? Please describe.
Currently many functionalities/tests do not work when dask query planning is enabled (Default dask behavior).
This is an issue to track the gaps for query planning to work with Curator
dataset.df[self.rand_col] = dataset.df.map_partitions(self._add_rand_col)
TypeError: Expected Pandas-like Index, Series, DataFrame, or scalar, got numpy.ndarray
The text was updated successfully, but these errors were encountered: