[
https://issues.apache.org/jira/browse/CASSANDRA-17021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18028375#comment-18028375
]
Stefan Miklosovic commented on CASSANDRA-17021:
-----------------------------------------------
As for on-disk sampling, what you mean by that is that data already sitting on
disk would be read back and dictionary trained from that? That is also
interesting approach. So node would read its own data and trained ... right.
That would probably also make the dependency on external tooling (e.g.
Analytics reading data and training) less urgent to implement and most probably
not needed so badly.
> Enhance Zstd support in Cassandra with dictionaries
> ---------------------------------------------------
>
> Key: CASSANDRA-17021
> URL: https://issues.apache.org/jira/browse/CASSANDRA-17021
> Project: Apache Cassandra
> Issue Type: Improvement
> Components: Feature/Compression
> Reporter: Dinesh Joshi
> Assignee: Yifan Cai
> Priority: Normal
> Time Spent: 2h 40m
> Remaining Estimate: 0h
>
> Currently Cassandra supports zstd compression. However, Zstd also supports
> dictionaries to enhance not only the compression ratio but also the speed.
> Dictionaries can show 3-4x savings. We should add support to train
> dictionaries, ideally per SSTable this will yield the maximum gains.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
