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https://issues.apache.org/jira/browse/CASSANDRA-4718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14000562#comment-14000562
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Pavel Yaskevich commented on CASSANDRA-4718:
--------------------------------------------

bq. Yeah, 200+MB/s sounds pretty disk bound to me. I vote that we move to the 
actual code review; we can certainly make further improvements later.

I think what Jason meant is when he started doing reads system was pooling a 
lot of data into the memory at first, ~300GB he loaded was RF=2 and we have 
128GB of RAM apart from kernel memory on those machines, so essentially it's 
~150GB for primary replica which is not much bigger than total available memory 
for page cache, pretty much accounts for 10% you were talking about. As a 
summary, we made two benchmarks, first where amount of data was bigger than 
memory available for the page cache, second where most of the data fits into 
memory, both cases sep branch was performing worse than cassandra-2.1.

> More-efficient ExecutorService for improved throughput
> ------------------------------------------------------
>
>                 Key: CASSANDRA-4718
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-4718
>             Project: Cassandra
>          Issue Type: Improvement
>            Reporter: Jonathan Ellis
>            Assignee: Benedict
>            Priority: Minor
>              Labels: performance
>             Fix For: 2.1.0
>
>         Attachments: 4718-v1.patch, PerThreadQueue.java, 
> austin_diskbound_read.svg, aws.svg, aws_read.svg, 
> backpressure-stress.out.txt, baq vs trunk.png, 
> belliotsmith_branches-stress.out.txt, jason_read.svg, jason_read_latency.svg, 
> jason_write.svg, op costs of various queues.ods, stress op rate with various 
> queues.ods, stress_2014May15.txt, stress_2014May16.txt, v1-stress.out
>
>
> Currently all our execution stages dequeue tasks one at a time.  This can 
> result in contention between producers and consumers (although we do our best 
> to minimize this by using LinkedBlockingQueue).
> One approach to mitigating this would be to make consumer threads do more 
> work in "bulk" instead of just one task per dequeue.  (Producer threads tend 
> to be single-task oriented by nature, so I don't see an equivalent 
> opportunity there.)
> BlockingQueue has a drainTo(collection, int) method that would be perfect for 
> this.  However, no ExecutorService in the jdk supports using drainTo, nor 
> could I google one.
> What I would like to do here is create just such a beast and wire it into (at 
> least) the write and read stages.  (Other possible candidates for such an 
> optimization, such as the CommitLog and OutboundTCPConnection, are not 
> ExecutorService-based and will need to be one-offs.)
> AbstractExecutorService may be useful.  The implementations of 
> ICommitLogExecutorService may also be useful. (Despite the name these are not 
> actual ExecutorServices, although they share the most important properties of 
> one.)



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