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https://issues.apache.org/jira/browse/CASSANDRA-6995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13963177#comment-13963177
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Vijay commented on CASSANDRA-6995:
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Just my 2 cents:
I like the idea of dispatching to a separate TPE directly from thrift/native
removing the need to switch ctx,
how about continuing the work in CASSANDRA-5239 and getting rid of io threads?
(In addition we can use the timeout thread to speculate and making storage
proxy completely async post 5239?)...
In a separate note shouldn't we throttle on the number of disk read from the
disk instead of concurrent_writers and reads? its un fair on the threads when
one request pulls a lot more data than others....
> Execute local ONE/LOCAL_ONE reads on request thread instead of dispatching to
> read stage
> ----------------------------------------------------------------------------------------
>
> Key: CASSANDRA-6995
> URL: https://issues.apache.org/jira/browse/CASSANDRA-6995
> Project: Cassandra
> Issue Type: Improvement
> Components: Core
> Reporter: Jason Brown
> Assignee: Jason Brown
> Priority: Minor
> Labels: performance
> Fix For: 2.0.7
>
> Attachments: 6995-v1.diff, syncread-stress.txt
>
>
> When performing a read local to a coordinator node, AbstractReadExecutor will
> create a new SP.LocalReadRunnable and drop it into the read stage for
> asynchronous execution. If you are using a client that intelligently routes
> read requests to a node holding the data for a given request, and are using
> CL.ONE/LOCAL_ONE, the enqueuing SP.LocalReadRunnable and waiting for the
> context switches (and possible NUMA misses) adds unneccesary latency. We can
> reduce that latency and improve throughput by avoiding the queueing and
> thread context switching by simply executing the SP.LocalReadRunnable
> synchronously in the request thread. Testing on a three node cluster (each
> with 32 cpus, 132 GB ram) yields ~10% improvement in throughput and ~20%
> speedup on avg/95/99 percentiles (99.9% was about 5-10% improvement).
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