Comments (2)
I agree that we should not double functionality.
There also appears to be some misunderstanding. This library implements another delete call on the files. IIUC DeltaTable.vacuum
is already deleting (i.e. it removes the files from store and not just from the deltalake log) all files and we don't need a dask concurrency layer to do this. @MrPowers can you confirm this?
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Closed by #46
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Related Issues (20)
- Avoid using delayed when making dask dataframe HOT 1
- Package on conda-forge HOT 6
- Implement writing with categoricals
- Support `partition_freq` when writing
- Support writing and reading back index
- Implement `mode == "overwrite"` in `to_deltalake`
- Handle timestamps other than `datetime64[us]`
- Release soon? HOT 5
- Finalize API for writing Delta Tables HOT 1
- Support pyarrow types_mapper kwarg
- Pickle error with `ParquetFileWriteOptions` and `distributed.Client`
- Support reading and writing to remote filesystems (s3, gcsfs, azure)
- Credentials for remote filesystems?
- `storage_options` inconsistency between `read_deltalake` and `to_deltalake`
- `TypeError`: cannot pickle `builtins.RawDeltaTable` object
- `read_deltalake` vs `read_parquet` performance HOT 1
- Can we get rid of `filters_to_expression`?
- What are the limitations of to_deltalake? HOT 1
- Problem with `pyarrow` dependency when installing dask-deltatable HOT 3
- Failed import when running `deltalake==0.14.0` HOT 4
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