Bufferbloat, rotational disk + BBU style. In case you still you magnetic disks to back a database taking writes, it can be worthwhile to disable "intelligent" controllers that do their own caching/readahead:pic.twitter.com/OoNs560vNU
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Postgres developer, working at Microsoft. Also: politics nerd, expat German in the US. Account for tech related things. For politics: @AndresFreundPol
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Bufferbloat, rotational disk + BBU style. In case you still you magnetic disks to back a database taking writes, it can be worthwhile to disable "intelligent" controllers that do their own caching/readahead:pic.twitter.com/OoNs560vNU
By collecting a lot of random writes in the BBU's writeback cache, and causing additional IOs for it's internal readahead, IO latencies grow absurdly. And on e.g. plenty LSI SAS controllers, the queue management for that is wholly unusable.
Note that for other workloads, with fewer random writes (e.g. increasing shared buffers to contain the whole working set, making small sequential writes more important by using logged tables in an OLTP setup) and more synchronous writes that's not true:pic.twitter.com/B8ru6zbsFf
what do you use for your benchmarking (loadgen) ans as metric collection? :)
The benchmark here is just postgres' pgbench. The metrics are a combination of self written tools, and wrappers around tools like iostat (parsing it into separate CSV files). Then a scripts which loads them into pandas, and uses matplotlib to generates the graphss.
Plan to publicize that set of scripts.
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