![]() ![]() snappy_unittest -norun_microbenchmarks -lzo testdata/* S2 can be a drop-in replacement for Snappy but for top performance, it shouldn't compress using the backward compatibility mode.~/snappy-read-only $. Encrypted, random and data that is already compressed are examples that will often cause compressors to waste CPU cycles with little to show for their efforts. S2 is also smart enough to save CPU cycles on content that is unlikely to achieve a strong compression ratio. ![]() S2 aims to further improve throughput with concurrent compression for larger payloads. Snappy has been popular in the data world with containers and tools like ORC, Parquet, ClickHouse, BigQuery, Redshift, MariaDB, Cassandra, MongoDB, Lucene and bcolz all offering support. Snappy originally made the trade-off going for faster compression and decompression times at the expense of higher compression ratios. S2 is an extension of Snappy, a compression library Google first released back in 2011. ![]() But, if the payload is already encrypted or wrapped in a digital rights management container, compression is unlikely to achieve a strong compression ratio so decompression time should be the primary goal. If you're releasing a large software patch, optimising the compression ratio and decompression time would be more in the users' interest. The four major points of measurement are (1) compression time (2) compression ratio (3) decompression time and (4) RAM consumption. Compression algorithms are designed to make trade-offs in order to optimise for certain applications at the expense of others. ![]()
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