Comments (1)
Thank you for the feature request and the suggestion. The way paratext
is architected, using a Python file handle would require random access on the file. This is not easily achievable with the Lempel-Ziv algorithm on which gzip
is based -- some files use a fixed dictionary in the header, but this is not true of all files. One would need to do a first sequential pass on the file to build the dictionary at different chunk start points. Then, the threads are spawned and start decompressing their respective chunks using each's respective reconstructed dictionary. We would welcome this contribution if someone wants to take a crack at it!
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Related Issues (20)
- Build fails on Windows 7 with Anaconda HOT 3
- Add support for reading large files in chunks HOT 1
- C++ rowbase stream processing?
- Unexpected content conversion for a hex string data HOT 3
- add support for opening multiple files HOT 1
- Paratext <-> Apache Arrow bridge HOT 1
- perf problems HOT 3
- can i access data by row HOT 3
- how to install paratext for python3? HOT 1
- Support for tab-delimited files? HOT 1
- Reading from stdin should use single thread or report an error HOT 1
- Feature request : Add support for conda HOT 1
- Feature request: Add `sep` argument for separator HOT 1
- Import fails on OSX 10.12.5 using Anaconda HOT 8
- C++11 compiler warning with clang on OS X
- Unable to read csv
- how to use it in c or c++?
- Issue with paratext.load_csv_to_pandas() HOT 4
- Tested on AWS Lambda - EFS ?
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