primary_key_io VS ulid

To test this hypothesis, I extended the test rig developed for comparing random and sequential integer IDs. The script inserts equal-sized chunks of records into a table and tracks the I/O write volume of the DB engine generated by the inserts. The I/O measurement is done by running the DB engine in a Docker container and polling Docker’s stats API.

Our Go ULID package has millisecond precision + monotonic random bytes for disambiguation while preserving ordering within the same millisecond. https://github.com/oklog/ulid

There is no "tests".

There is just a single test. Which only tests the decoding of a single known value. No encoding test.

Go has infrastructure for benchmarking and fuzzing. Use it!

Also, you took code from https://github.com/oklog/ulid/blob/main/ulid.go which has "Copyright 2016 The Oklog Authors" but this is not mentionned in your base32.go.

maybe because of dependencies: https://github.com/oklog/ulid/blob/main/go.mod ??

Universally Unique Lexicographically Sortable Identifier

I'm not concerned too much about the performance or the storage size at this stage. I've checked ulids before posting (more specifically https://github.com/oklog/ulid) but the only difference than a random string (especially if you use them with math.rand) is the timestamp prefix which makes them sortable, but I don't need that (users could use the internal SQLite rowid if they needed to sort by a primary key).

why are you using https://github.com/oklog/ulid to generate a cookie secret?

oklog/ulid to generate IDs. coreos/go-oidc for validating JWTs I get from auth. google/go-cmp for comparing structs in tests (unless the project is already using Testify). spf13/pflag because life's too short for Go's flag handling. getkin/kin-openapi for validating reqests/responses against my OpenAPI spec (in tests).

If you just want to roll with an off-the-shelf library, you can use ULID. There are tons of custom made *flake alternatives. If ULID doesn't fit your purposes, look for others.