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Posted to commits@cassandra.apache.org by "Vijay (Updated) (JIRA)" <ji...@apache.org> on 2011/10/19 17:53:10 UTC
[jira] [Updated] (CASSANDRA-3383) Make Row cache reject wide rows
which are more than x columns
[ https://issues.apache.org/jira/browse/CASSANDRA-3383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vijay updated CASSANDRA-3383:
-----------------------------
Description:
The problem with the row cache is it has to cache the whole row into the memory, this works great for small rows but not for the wide rows. Even off-heap cache has to read everything into the heap eventually causing GC overhead (If your query is to get few columns).
It will be nice to reject the rows which are bigger than x columns (This can be a KS setting).... this will help cases where we have mixed load of small and wide column datasets in the same cf.
was:
The problem with the row cache is it has to cache everything in memory, this works great for small rows but not for the wide rows. Even of off-heap cache has to read everything into the heap eventually causing GC overhead.
It will be nice to reject the rows which are bigger than x columns (This can be a KS setting).... this will help cases where we have mixed load of small and wide column datasets in the same cf.
> Make Row cache reject wide rows which are more than x columns
> -------------------------------------------------------------
>
> Key: CASSANDRA-3383
> URL: https://issues.apache.org/jira/browse/CASSANDRA-3383
> Project: Cassandra
> Issue Type: Improvement
> Components: Core
> Affects Versions: 1.1
> Environment: Linux with Sun JDK
> Reporter: Vijay
> Assignee: Vijay
> Priority: Minor
>
> The problem with the row cache is it has to cache the whole row into the memory, this works great for small rows but not for the wide rows. Even off-heap cache has to read everything into the heap eventually causing GC overhead (If your query is to get few columns).
> It will be nice to reject the rows which are bigger than x columns (This can be a KS setting).... this will help cases where we have mixed load of small and wide column datasets in the same cf.
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