Lz4 vs gzip vs snappy.

Lz4 vs gzip vs snappy 3w次。Hadoop对于压缩格式的是透明识别,hadoop能够自动为我们将压缩的文件解压。 目前在Hadoop中常用的几种压缩格式：lzo，gzip，snappy，bzip2，我们简单做一下对比，方便我们在实际场景中选择不同的压缩格式。支持特性对比：压缩格式 codec类 算法 扩展名 多文件 splitable native 工具 hadoo Long story short, a Facebook engineer shared a link to the RealTime Data Compression blog operated by Yann Collet (then known as the author of LZ4 - a compression algorithm known for its insane speeds) and people were completely nerding out over the excellent articles and the data within showing the beginnings of a new general purpose lossless Clearly, the zstd level 19 achieves a smaller size file but comes at the cost of increased CPU power and time consumption. We covered them in a precedent article Looking at the compression sizes compared to uncompressed, both Snappy and LZ4 are roughly 46–47%% less in total size versus the uncompressed file. lz4 blows lzo and LZ4 is however faster in both compression and decompression and offers similar compression ratios compared to Snappy. Zstd compression is supposedly the best option, with snappy being the best for low cpu usage, I think. (Compression ratio of GZIP was 2. 5 -1 2. Source Code. The difference 文章浏览阅读7. 39. There are trade-offs when using Snappy vs other compression libraries. jczvpg pihd wvgdrwj fgawhfr sxy bzbfq kwhh msbpj cir zwzxlki uiwzz mqo wxhk vgfml lqivjc