Cython wrapper around Google's Snappy compression library, with pure-Cython implementations of the framing2 (.sz) and Hadoop framing formats and CRC32C.
Project description
You probably want python-snappy
Hadoop framing compatibility
There is one case where you might prefer this library: reading Hadoop snappy streams.
The Hadoop snappy format allows a "block" to contain one or more
subblocks. Real Hadoop writers (BlockCompressorStream) emit
multi-subblock blocks when an input exceeds the configured buffer size.
- pysnappy's
HadoopDecompressorhandles both single-subblock and multi-subblock blocks. - python-snappy's
HadoopStreamDecompressoronly handles single-subblock blocks; on multi-subblock input it silently returns the first subblock and stashes the rest in an internal buffer that is never surfaced. Data loss with no error.
For the encoder, pysnappy emits multi-subblock blocks by default
(respecting the buffer_size argument). Pass single_subblock=True to
the HadoopCompressor constructor to emit one subblock per call, which
is byte-shape-compatible with python-snappy's encoder and slightly
faster.
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