Average compression speed (harmonic mean): QuickLZ 180.9 MB/s, Snappy 238.0 MB/s. Average decompresion speed (harmonic mean): QuickLZ 212.5 MB/s, Snappy 536.9 MB/s. In addition, there's one nearly-incompressible file listed on the same page, which I also ran on (it's not included in the averages above):
GitHub - golang/snappy: The Snappy compression format in The Snappy compression format in the Go programming language. - golang/snappy python 3.x - Decompression 'SNAPPY' not available with However, it is only a wrapper around the snappy implementation in c that should be installed in your computer, this issue has been addressed in this answer about installing snappy-c. Assuming you have a DEB-based system, such as ubuntu, you can get it with: sudo apt-get install libsnappy-dev python3 -m pip install --user python-snappy
InnoDB Page Compression - MariaDB Knowledge Base
The compression formats listed in this section are used for queries. For CTAS queries, Athena supports GZIP and SNAPPY (for data stored in Parquet and ORC). If you omit a format, GZIP is used by default. Tags snappy, compression, google Maintainers andrix mdurant Classifiers. Development Status. 4 - Beta Intended Audience. Developers The Snappy compression format in the Go programming language. - golang/snappy
Block size used in LZ4 compression, in the case when LZ4 compression codec is used. Lowering this block size will also lower shuffle memory usage when LZ4 is used. Default unit is bytes, unless otherwise specified. 1.4.0: spark.io.compression.snappy.blockSize: 32k: Block size in Snappy compression, in the case when Snappy compression codec is used.
1) Since snappy is not too good at compression (disk), what would be the difference on disk space for a 1 TB table when stored as parquet only and parquet with snappy compression. I created three table with different senario . please take a peek into it . It will give you some idea. TABLE 1 - No compression … python-snappy · PyPI