Java implementation of LZ4 compression algorithm – this is the fastest algorithm in this article with a compression level a bit worse than the fastest deflate. I advice you to read the wikipedia article about this algorithm to understand its usage.
Feb 05, 2019 · Supported compression codecs are “gzip,” “snappy,” and “lz4.” Compression is beneficial and should be considered if there is a limitation on disk capacity. Among the two commonly used compression codecs, “gzip” and “snappy,” “gzip” has a higher compression ratio resulting in lower disk usage at the cost of higher CPU ...
Dec 19, 2011 · LZ4 gradually improved overtime, to the point of providing now better performance than Google's creation. One Hadoop's contributors, Binglin Chang, made the effort to implement LZ4 as a JNI patch, and compare it directly to Snappy. LZ4 performance was found better than Snappy, even when using Snappy's own set of calibration tests.
Apr 20, 2020 · Alternative open source compression algorithms may be employed at this stage in place of BZip (for example, GZip, ZStandard, LZ4, Snappy etc) (Ziv et al 1977, LZ4 2019, zlib 2019, ZStandard 2019, Snappy 2019) which may result in slightly larger files and faster encode/decode operations. Compressed data files can be re-encoded using a different ...
Hadoop 2.4.0 Release Notes These release notes include new developer and user-facing incompatibilities, features, and major improvements. Changes since Hadoop 2.3.0
Compression Speed vs. Ratio briez-briez copy-copy fastlz-fastlz gipfeli-gipfeli libdeate-deate lz4-lz4 lz4-lz4-raw lzf-lzf lzjb-lzjb lzo-lzo1b lzo-lzo1c lzo-lzo1f lzo-lzo1x lzo-lzo1y ms-compress-lznt1 ms-compress-xpress ms-compress-xpress-human ncompress-compress quicklz-quicklz snappy-snappy wz-wz wz-wz-chunked zstd-zstd Maximum I/O Speed
Jul 07, 2018 · JVM Heap Memory Allocation : G1 vs CMS People misunderstand about how G1 GC collector memory allocate at JVM boot up. We normally configure max and min values for heap but for G1 GC collector, no need to configure min value.
3.查询对比测试：HAWQ vs Presto vs ClickHouse. 通过对比测试结果可以发现，在相同的数据量查询SQL情况下，ClickHouse对比HAWQ、Presto有数量级的性能优势。由于我们的业务更多是单表的Ad-Hoc查询和分析，因此本次评测最终采用ClickHouse作为我们的OLAP引擎。