Comments (10)
I agree, although at some point, snappy should be released and new conda packages built.
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No, last I checked this was not the case, unfortunately. Might be worth asking @FrancescAlted though.
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Yes, Robert McLeod recently contributed a way to release the GIL during Blosc operation. We still need to do a new public release though.
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To be clear the question is also asking "Can I use python-blosc to snappy-compress data, such that other people with only snappy (not blosc) can decompress it?"
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Another useful feature not provided by python-snappy is a counterpart to GzipFile, so that larger data-blocks could be decompressed in a streaming fashion, without materializing the before and after bytestrings.
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@mrocklin The answer for the question about Snappy being able to decompress a Blosc frame with Snappy codec is no. The reason is that Blosc adds some meta-information at the beginning of every frame, and hence the pure codecs will not be able to interpret that.
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Yeah, my question isn't whether or not Snappy can decompress Blosc, but rather if the Blosc Python library provides hooks to call Snappy directly, without invoking the Blosc machinery.
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There seems to be an open PR to release the GIL: intake/python-snappy#38
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This can perhaps be closed now that the above PR is merged.
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Related Issues (20)
- a python-3.12 windows wheel HOT 13
- Some `fastparquet`-related tests are failing on Python 3.10 HOT 10
- Regression due to `_from_sequence` HOT 1
- attrs persistance for Pandas HOT 1
- Nullable types for 1 row vs multiple rows HOT 3
- update_file_custom_metadata error when file has no properties.
- schema evolution when writing the row groups does not work HOT 4
- Bug loading parquet files with timezone information HOT 6
- When changing to a larger dtype, its size must be a advisor of the total size in bytes of the last axis of the array HOT 6
- PyArrow will become a required dependency with pandas 3.0
- Option to not close() after write() when writing to buffer HOT 3
- Support zoneinfo.ZoneInfo timezones
- Loading List of List of Strings leads to nans HOT 6
- Upcoming pandas (>2.2.0) raises "read-only" errors HOT 3
- Categorical dtype not preserved with fastparquet-write, pyarrow-read HOT 2
- Numpy 2: OverflowError with int96 HOT 4
- Fastparquet raises on import with numpy 2.0 rc HOT 5
- New release? HOT 4
- Issues with filtering when using to_pandas HOT 4
- No wheel file for fastparquet 2024.5.0 for Python 3.12 and Windows HOT 4
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