pgtest
tailetc
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pgtest | tailetc | |
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1 | 2 | |
50 | 131 | |
- | - | |
5.0 | 0.0 | |
24 days ago | almost 2 years ago | |
Go | Go | |
MIT License | BSD 3-clause "New" or "Revised" License |
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pgtest
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An Unlikely Database Migration
For PostgreSQL and Go, here's a package to spin up a temp in-mem PostgreSQL: https://github.com/rubenv/pgtest/
tailetc
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Sched - In-process Go Job Scheduler. With Cron Support and Prometheus Metrics
https://github.com/tailscale/tailetc/blob/b2fa539c2383d30d03e0eea1052022af132dca9f/tailetc.go#L142
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An Unlikely Database Migration
Interesting choice of technology, but you didn't completely convince me to why this is better than just using SQLite or PostgreSQL with a lagging replica. (You could probably start with either one and easily migrate to the other one if needed.)
In particular you've designed a very complicated system: Operationally you need an etcd cluster and a tailetc cluster. Code-wise you now have to maintain your own transaction-aware caching layer on top of etcd (https://github.com/tailscale/tailetc/blob/main/tailetc.go). That's quite a brave task considering how many databases fail at Jepsen. Have you tried running Jepsen tests on tailetc yourself? You also mentioned a secondary index system which I assume is built on top of tailetc again? How does that interact with tailetc?
Considering that high-availability was not a requirement and that the main problem with the previous solution was performance ("writes went from nearly a second (sometimes worse!) to milliseconds") it looks like a simple server with SQLite + some indexes could have gotten you quite far.
We don't really get the full overview from a short blog post like this though so maybe it turns out to be a great solution for you. The code quality itself looks great and it seems that you have thought about all of the hard problems.
What are some alternatives?
go-memdb - Golang in-memory database built on immutable radix trees
etcd - Distributed reliable key-value store for the most critical data of a distributed system
lungo - A MongoDB compatible embeddable database and toolkit for Go.