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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I'm sure it's out of date now, but I've posted the diff anyway.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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