On 16 June 2010 00:27, Francesc Alted <fal...@pytables.org> wrote:
> Hi List,
>
> Just a brief note to say that Blosc passed the most exigent tests suite in its
> integrated benchmark suite.  Just today the complete 'extremesuite' bunch of
> tests has passed, after 3 days of intensive testing, on a Windows 64-bit box
> with a grand total of 95 TB compressed and 95 TB decompressed, without a
> single failure.  These test suite uses synthetic data, but varies its entropy
> in a very wide range, and using many different type sizes and buffer lengths.
>
> Also, other people have reported no problems with the 'hardsuite' in other
> platforms like Linux, FreeBSD or Mac OSX.  Hence, I'd say that Blosc is
> perfectly suitable to be used in production scenarios.  However, I won't
> declare it stable yet, until more test have been done with PyTables 2.2rc2 (to
> be out very soon now), where I'll include the latest revision of Blosc.
>
> Yesterday I was doing some benchmarks and the benefits of Blosc are more than
> apparent.  With maximum compression level, it can reach compression ratios
> comparable to LZO (the fastest compressor that I was aware of up to now),
> while being typically 60% faster than it during compression, and 25% faster
> during decompression.  For the lowest compression level, it can be up to 2.5x
> faster during compression and 2x during decompression.  For PyTables Pro
> users, preliminary results says that the indexing speed is between 1.5x and
> 2.5x faster too.
>
> Definitely, after a a bit more of a year of working with Blosc, I'm very
> satisfied of these results: they are way better than I expected!

Congratulations! They are very impressive results and I'm looking
forward to seeing the impact on PyTables.

Tony

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