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From "Sylvain Lebresne (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CASSANDRA-9708) Serialize ClusteringPrefixes in batches
Date Wed, 22 Jul 2015 10:41:04 GMT

    [ https://issues.apache.org/jira/browse/CASSANDRA-9708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14636683#comment-14636683
] 

Sylvain Lebresne commented on CASSANDRA-9708:
---------------------------------------------

Fyi, I believe the {{NIODataInputStream}} problem is bigger than suggested in this ticket
and not fully fixed by the patch here, so I've created CASSANDRA-9863 and we should leave
that part to this more specific ticket.

> Serialize ClusteringPrefixes in batches
> ---------------------------------------
>
>                 Key: CASSANDRA-9708
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-9708
>             Project: Cassandra
>          Issue Type: Sub-task
>          Components: Core
>            Reporter: Benedict
>            Assignee: Benedict
>             Fix For: 3.0.0 rc1
>
>
> Typically we will have very few clustering prefixes to serialize, however in theory they
are not constrained (or are they, just to a very large number?). Currently we encode a fat
header for all values up front (two bits per value), however those bits will typically be
zero, and typically we will have only a handful (perhaps 1 or 2) of values.
> This patch modifies the encoding to batch the prefixes in groups of up to 32, along with
a header that is vint encoded. Typically this will result in a single byte per batch, but
will consume up to 9 bytes if some of the values have their flags set. If we have more than
32 columns, we just read another header. This means we incur no garbage, and compress the
data on disk in many cases where we have more than 4 clustering components.
> I do wonder if we shouldn't impose a limit on clustering columns, though: If you have
more than a handful merge performance is going to disintegrate. 32 is probably well in excess
of what we should be seeing in the wild anyway.



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