chia-network/mysqlpunch — explained in plain English
Analysis updated 2026-08-07 · repo last pushed 2026-07-21
Stress-test your MySQL database before a product launch to check if it can handle a flood of sign-ups.
Compare different MySQL server sizes or configs by running the same insert workload against each one.
Measure how your database responds under concurrent load to find performance bottlenecks before real traffic hits.
Benchmark maximum insert throughput to decide if your current setup can survive a traffic spike.
| chia-network/mysqlpunch | 0xdevalias/blackgooday | advayc/wrapped | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Go | Go | Go |
| Last pushed | 2026-07-21 | 2018-04-09 | — |
| Maintenance | Active | Dormant | — |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | ops devops | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Requires a running MySQL server to connect to and should not be run on the same machine as that server to avoid skewed results.
MySQL Punch is a command-line tool that hammers a MySQL database with rows of data to see how it handles the pressure. Think of it as a stress-test for your database, you point it at a MySQL server, tell it how many records to send, and it fires them off while tracking how long each one takes. After the run, you get timing statistics that show whether your database kept up or buckled under load. At a high level, the tool connects to a MySQL server you specify, creates a table, and starts inserting rows either one at a time or several at once. You control the pace with a "max concurrent" setting, for example, sending 40 requests simultaneously. It logs the response time for every single row, then crunches those numbers at the end to give you a picture of performance under load. You can also tell it to wipe the table clean before starting fresh. This is for anyone who needs to understand how their MySQL setup will perform before real traffic hits it. A startup preparing for a product launch might use it to check whether their database can handle a sudden flood of sign-ups. A team evaluating different server sizes or configurations could run the same workload against each one and compare results. Anyone who has ever wondered "will my database survive a spike?" would find this useful. One thing worth noting: the tool records response time for every individual row, which means memory usage grows as you send more records. The README advises against running it on the same machine as your MySQL server, since the two would compete for resources and skew your results. It can theoretically send over four billion records, but at that scale you'd need a machine with plenty of RAM to hold all those timing measurements.
MySQL Punch is a command-line tool that stress-tests a MySQL database by inserting large amounts of data and reporting timing statistics so you can see how your database performs under heavy load.
Mainly Go. The stack also includes Go, MySQL, CLI.
Active — commit in last 30 days (last push 2026-07-21).
No license information is provided in the repository, so default copyright restrictions apply and you should contact the author before using it.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.