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https://issues.apache.org/jira/browse/CASSANDRA-19534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17840173#comment-17840173
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Alex Petrov commented on CASSANDRA-19534:
-----------------------------------------
Sorry for the lack of clarity; today there’s no deadline at all. Tasks will
live in the system essentially forever clogging queues doing busy work. I was
intending to post a patch but it is currently in my CI queue; however otherwise
ready to go.
i believe with 12 seconds default, users will only see an improvement and there
will be no learning curve at all. All configurable are for the people who
understand their request lifetimes and want to get an even better profile.
> unbounded queues in native transport requests lead to node instability
> ----------------------------------------------------------------------
>
> Key: CASSANDRA-19534
> URL: https://issues.apache.org/jira/browse/CASSANDRA-19534
> Project: Cassandra
> Issue Type: Bug
> Components: Legacy/Local Write-Read Paths
> Reporter: Jon Haddad
> Assignee: Alex Petrov
> Priority: Normal
> Fix For: 5.0-rc, 5.x
>
> Attachments: Scenario 1 - QUEUE + Backpressure.jpg, Scenario 1 -
> QUEUE.jpg, Scenario 1 - Stock.jpg, Scenario 2 - QUEUE + Backpressure.jpg,
> Scenario 2 - QUEUE.jpg, Scenario 2 - Stock.jpg
>
>
> When a node is under pressure, hundreds of thousands of requests can show up
> in the native transport queue, and it looks like it can take way longer to
> timeout than is configured. We should be shedding load much more
> aggressively and use a bounded queue for incoming work. This is extremely
> evident when we combine a resource consuming workload with a smaller one:
> Running 5.0 HEAD on a single node as of today:
> {noformat}
> # populate only
> easy-cass-stress run RandomPartitionAccess -p 100 -r 1
> --workload.rows=100000 --workload.select=partition --maxrlat 100 --populate
> 10m --rate 50k -n 1
> # workload 1 - larger reads
> easy-cass-stress run RandomPartitionAccess -p 100 -r 1
> --workload.rows=100000 --workload.select=partition --rate 200 -d 1d
> # second workload - small reads
> easy-cass-stress run KeyValue -p 1m --rate 20k -r .5 -d 24h{noformat}
> It appears our results don't time out at the requested server time either:
>
> {noformat}
> Writes Reads
> Deletes Errors
> Count Latency (p99) 1min (req/s) | Count Latency (p99) 1min (req/s) |
> Count Latency (p99) 1min (req/s) | Count 1min (errors/s)
> 950286 70403.93 634.77 | 789524 70442.07 426.02 |
> 0 0 0 | 9580484 18980.45
> 952304 70567.62 640.1 | 791072 70634.34 428.36 |
> 0 0 0 | 9636658 18969.54
> 953146 70767.34 640.1 | 791400 70767.76 428.36 |
> 0 0 0 | 9695272 18969.54
> 956833 71171.28 623.14 | 794009 71175.6 412.79 |
> 0 0 0 | 9749377 19002.44
> 959627 71312.58 656.93 | 795703 71349.87 435.56 |
> 0 0 0 | 9804907 18943.11{noformat}
>
> After stopping the load test altogether, it took nearly a minute before the
> requests were no longer queued.
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