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https://issues.apache.org/jira/browse/CASSANDRA-8099?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Benedict updated CASSANDRA-8099:
--------------------------------
    Attachment: 8099-nit

A small thing I noticed, that this nicely helps tidy up something that's bugged 
me before and can (and should) be cleaned up with this IMO: all of the 
sub-comparators in ClusteringComparator can be removed, and the class itself 
can simply implement Comparator<Clusterable>, since all of the things that can 
be compared now implement Clusterable (perhaps one sub-comparator could be used 
if directly comparing ClusteringPrefix is very common in high-traffic code 
paths, but it's probably not necessary). 

.rowComparator can be removed already and .atomComparator can be removed by 
only making MergeIterator accept <? super In> instead of <In>. 

clusterableComparator would then be subsumed by the enclosing class; everywhere 
it's referred to you can simply delete ".clusteringComparator" and it will work.

I'm sure it's out of date now, but I've posted the diff anyway. The summary is:
{noformat}
 src/java/org/apache/cassandra/db/ClusteringComparator.java            | 33 
++++++---------------------------
 src/java/org/apache/cassandra/db/atoms/AtomIterators.java             |  2 +-
 src/java/org/apache/cassandra/db/filters/NamesPartitionFilter.java    |  2 +-
 src/java/org/apache/cassandra/db/partitions/AtomicBTreePartition.java |  4 ++--
 src/java/org/apache/cassandra/utils/MergeIterator.java                | 10 
+++++-----
 5 files changed, 15 insertions(+), 36 deletions(-)
{noformat}

> Refactor and modernize the storage engine
> -----------------------------------------
>
>                 Key: CASSANDRA-8099
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-8099
>             Project: Cassandra
>          Issue Type: Improvement
>            Reporter: Sylvain Lebresne
>            Assignee: Sylvain Lebresne
>             Fix For: 3.0
>
>         Attachments: 8099-nit
>
>
> The current storage engine (which for this ticket I'll loosely define as "the 
> code implementing the read/write path") is suffering from old age. One of the 
> main problem is that the only structure it deals with is the cell, which 
> completely ignores the more high level CQL structure that groups cell into 
> (CQL) rows.
> This leads to many inefficiencies, like the fact that during a reads we have 
> to group cells multiple times (to count on replica, then to count on the 
> coordinator, then to produce the CQL resultset) because we forget about the 
> grouping right away each time (so lots of useless cell names comparisons in 
> particular). But outside inefficiencies, having to manually recreate the CQL 
> structure every time we need it for something is hindering new features and 
> makes the code more complex that it should be.
> Said storage engine also has tons of technical debt. To pick an example, the 
> fact that during range queries we update {{SliceQueryFilter.count}} is pretty 
> hacky and error prone. Or the overly complex ways {{AbstractQueryPager}} has 
> to go into to simply "remove the last query result".
> So I want to bite the bullet and modernize this storage engine. I propose to 
> do 2 main things:
> # Make the storage engine more aware of the CQL structure. In practice, 
> instead of having partitions be a simple iterable map of cells, it should be 
> an iterable list of row (each being itself composed of per-column cells, 
> though obviously not exactly the same kind of cell we have today).
> # Make the engine more iterative. What I mean here is that in the read path, 
> we end up reading all cells in memory (we put them in a ColumnFamily object), 
> but there is really no reason to. If instead we were working with iterators 
> all the way through, we could get to a point where we're basically 
> transferring data from disk to the network, and we should be able to reduce 
> GC substantially.
> Please note that such refactor should provide some performance improvements 
> right off the bat but it's not it's primary goal either. It's primary goal is 
> to simplify the storage engine and adds abstraction that are better suited to 
> further optimizations.



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