pg-ulid VS Dapper

Here's one[1], not actively maintained though.

[1] https://github.com/edoceo/pg-ulid

Yeah, just use a UUID unless the bits to store the UUID really are your driving limitation (they're not), having a UUID that is non-linear is almost always the most straight-forward option for identifying things, for the tradeoff of human readability (though you can get some of that back with prefixes and some other schemes). I'm not going to rehash the benefits that people have brought up for UUIDs, but they're in this thread. At this point what I'm concerned about is just... what is the best kind of UUID to use -- I've recently started using mostly v1 because time relationship is important to me (despite the unfortunate order issues) and v6[0] isn't quite so spread yet. Here's a list of other approaches out there worth looking at

- isntauuid[1] (mentioned in this thread, I've given it a name here)

- timeflake[2]

- HiLo[3][4]

- ulid[5]

- ksuid[6] (made popular by segment.io)

- v1-v6 UUIDs (the ones we all know and some love)

- sequential interval based UUIDs in Postgres[7]

Just add a UUID -- this almost surely isn't going to be what bricks your architecture unless you have some crazy high write use case like time series or IoT or something maybe.

[0]: http://gh.peabody.io/uuidv6/

[1]: https://instagram-engineering.com/sharding-ids-at-instagram-...

[2]: https://github.com/anthonynsimon/timeflake

[3]: https://en.wikipedia.org/wiki/Hi/Lo_algorithm

[4]: https://www.npgsql.org/efcore/modeling/generated-properties....

[5]: https://github.com/edoceo/pg-ulid

[6]: https://github.com/segmentio/ksuid

[7]: https://www.2ndquadrant.com/en/blog/sequential-uuid-generato...

In both samples to get all records and to get a single record works fine but there is a better way to perform the same work using NuGet package Dapper. Dapper is extremely easy to use and built with performance in mind. In the source code provided the basic operations are covered, to take things to the next level and read the information at GitHub, the following page and other code samples in the following repository.

In this article learn how to use Dapper an open-source object-relational mapping (ORM) library for .NET and .NET Core applications. Unlike many articles out there, this one will provide source code to try everything out that is shown in an easy-to-follow way by beginning with a single table then in part two of this series will work with multiple tables.

Dapper

I will be using Dapper - a simple object mapper for .Net along with MySqlConnector.

Maybe the more basic approach to dapper is their documentation https://github.com/DapperLib/Dapper the readme but again most likely you not gonna understand

I think EF Core & EF are the successors to LINQ to SQL that you'd wanna look into, and/or Dapper if you wanna go lower.

The main maintainers of Dapper no longer work at Stack, but they're active enough to comment on recent pull requests: https://github.com/DapperLib/Dapper/pull/1887.

MarieDB and dapper https://github.com/DapperLib/Dapper