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https://issues.apache.org/jira/browse/CASSANDRA-9708?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14624445#comment-14624445
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Sylvain Lebresne commented on CASSANDRA-9708:
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bq. if not slightly leaning in favour of retaining the lack of limit

Let's retain it here then, I have similar leanings. If we care about protecting 
users doing the wrong thing, it's easy enough to add a warning at table 
creation time. And if it's a warning, we can put it much lower than 32.

bq.  from a testing POV, we can test serialization in isolation with 33+, but 
kind of difficult to do full extensive testing with that

I'd be totally fine with simple unit tests for this. We can do more extensive 
testing the day we have nothing more useful to test, but something tells me 
that day won't come very soon.



> 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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