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Napkin Problem 10: MySQL transactions per second vs fsyncs per second

Simon Eskildsen · published 17 July 2020

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2blogs citing

First cited: 13 Mar 2025
Most recent: 21 Jul 2026
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Links from this post: 11
Words captured: 3,378

Cited by

Blog

In the post

Date

Pragmatic Engineer Newsletter

Pushing software engineering limits with “napkin math” Read at the source ↗

21 Jul 2026

justincartwright.com

MySQL Transactions per Second with 3000 IOPS Read at the source ↗

25 Mar 2025

justincartwright.com

Can IOPS Be Estimated from fsync? Read at the source ↗

13 Mar 2025

Links from this post

Link

Host

https://dev.mysql.com/doc/refman/5.7/en/innodb-parameters.html

dev.mysql.com

https://github.com/sirupsen/napkin-math/blob/fe780331c6f0c6f225a70c8a37c21e0740f7c73c/src/main.rs

github.com

https://gist.github.com/sirupsen/9fd5fe9466e82df073ed8a13ed1f661f

gist.github.com

https://github.com/iovisor/bpftrace

github.com

https://www.burnison.ca/notes/fun-mysql-fact-of-the-day-everything-is-two-phase

burnison.ca

https://kristiannielsen.livejournal.com/12254.html

kristiannielsen.livejournal.com

https://www.kernel.org/doc/Documentation/filesystems/ext4.txt

kernel.org

https://mariadb.com/kb/en/group-commit-for-the-binary-log/

mariadb.com

Napkin Problem 9: Inverted Index Performance and Merkle Tree Syncronization Read at the source ↗

https://home.apache.org/~mikemccand/lucenebench/AndHighHigh.html

home.apache.org

https://home.apache.org/~mikemccand/lucenebench/OrHighHigh.html

home.apache.org