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Benedict commented on CASSANDRA-10995: -------------------------------------- You probably want to us a larger dataset. I suspect that is all happily fitting into RAM. Turning off compression may yield larger dividends for on-disk performance for small rows, since fewer sectors need to be touched As far as compressible data is concerned, yes, narrowing the population size _for each column_ in the yaml will increase compressibility. But only if the population is very small, since you would need for the data to occur multiple times on a single page. Realistically a dictionary generator should be added, which is not very hard, and was on my todo list for a long time. That or a weighted random byte generator, that is more likely to produce certain bytes (or byte sequences) than others, which would avoid the necessity of a dictionary while providing the same benefit. > Consider disabling sstable compression by default in 3.x > -------------------------------------------------------- > > Key: CASSANDRA-10995 > URL: https://issues.apache.org/jira/browse/CASSANDRA-10995 > Project: Cassandra > Issue Type: Improvement > Reporter: Aleksey Yeschenko > Assignee: Jim Witschey > > With the new sstable format introduced in CASSANDRA-8099, it's very likely > that enabled sstable compression is no longer the right default option. > [~slebresne]'s [blog post|http://www.datastax.com/2015/12/storage-engine-30] > on the new storage engine has some comparison numbers for 2.2/3.0, with and > without compression that show that in many cases compression no longer has a > significant effect on sstable sizes - all while sill consuming extra > resources for both writes (compression) and reads (decompression). > We should run a comprehensive set of benchmarks to determine whether or not > compression should be switched to 'off' now in 3.x. -- This message was sent by Atlassian JIRA (v6.3.4#6332)