go-tools VS go-sqlite3

Another useful tool in Go is the go vet command, which helps to identify common coding mistakes such as unreachable code or useless comparisons. In addition, external linters like staticcheck can be used to detect bugs and performance issues with ease.

For the last year or so (as of 2023) Golang has only had one active project for linting unused code, namely: unused from https://github.com/dominikh/go-tools. It works really well, but only within a package, not across packages, like within a traditional monolith. unused used to be part of another project called staticcheck, that did indeed have a flag for detecting project-wide unused code, but that is no longer supported. There are good reasons for that (see this Github discussion), mainly that it's computationally expensive.

To a degree, sure. It can't pick it up in general, because of the halting problem. But some trivial cases could be caught. Feel free to write such a linter, I'm sure Dominik would gladly merge it, for example.

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

Also proposal to staticcheck, will see if it goes through! https://github.com/dominikh/go-tools/issues/1337

This is the first result for that error in google. The comment in that issue explains it. You're building two array's c_code, and c_start_date which are built and then never read or returned or otherwise used.

This really irritated me when I started working with go, but it stopped bothering me and now I even mostly like it.

The missing error checks are annoying, but if you have appropriate editor config it is hard to miss them: https://cdn.billmill.org/static/newsyctmp/warning.png

Basically writing go without `staticcheck`[1] is not recommended. If you do have it set up, it's pretty easy to avoid simple errors like that.

[1]: https://staticcheck.io/

However, recently [per this issue](https://github.com/dominikh/go-tools/issues/1270) it is safe to re-enable the ones I highlighted with strikethrough above. I would be interested in tracking issues for the remainder if you have those linked somewhere.

Unfortunately I don't know of any tools that can/do always detect it. There's this discussion for the staticcheck linter where they basically don't think it's worth false positives in order to support it a lint for it.

SQLite encryption at-rest is a hot requested feature of both the “default” CGo driver [1] and the transpiled alternative driver [2]. So, this is a feature I wanted to bring to my own Wasm based Go driver/bindings [3].

Open-source SQLite encryption extensions have had a troubled last few years. For whatever reason, in 2020 the (undocumented) feature that made it easy to offer page-level encryption was removed [4]. Some solutions are stuck with SQLite 3.31.1, but Ulrich Telle stepped up with a VFS approach [5].

Still, their solution seemed harder than something I'd want to maintain, as it requires understanding the structure of what's being written to disk at the VFS layer. So, I looked at full disk encryption for something with less of an impedance mismatch.

Specifically, I'm using the Adiantum tweakable and length-preserving encryption (with 4K blocks, matching the default SQLite page size), and encrypting whole files (rather than page content).

I'm not a cryptographer, so I'd really appreciate some roasting before release.

There is nothing very Go specific about this (apart from the implementation) so if there are no obvious flaws, it may make sense to port it to C/Rust/etc and make it a loadable extension.

[1] https://github.com/mattn/go-sqlite3/pull/1109

for what it's worth, the two pool approach is suggested here by a collaborator to github.com/mattn/go-sqlite3: https://github.com/mattn/go-sqlite3/issues/1179#issuecomment...

SQLite is great. I've also recently settled on it as a key-value store, after considering a few purpose-built key-value solutions. Turns out that it's really easy to make SQLite work as a key-value store, but very difficult to make key-value stores relational.

Just be careful with `:memory:` databases. From the mattn/go-sqlite3 FAQ[1]:

> Each connection to ":memory:" opens a brand new in-memory sql database, so if the stdlib's sql engine happens to open another connection and you've only specified ":memory:", that connection will see a brand new database. A workaround is to use "file::memory:?cache=shared" (or "file:foobar?mode=memory&cache=shared"). Every connection to this string will point to the same in-memory database.

I noticed strange behaviors with just `:memory:` where tables would just disappear at random, and this workaround helped. Make sure to use a unique filename as the `file:` value, especially if using this in tests.

[1]: https://github.com/mattn/go-sqlite3#faq

github.com/mattn/go-sqlite3

For building my web server, I chose to use the Gin framework as the foundation of my app. It was incredibly easy to understand and work with, and I was pleasantly surprised by how seamlessly it integrated with writing unit tests for the server. To handle the database, I leveraged the power of go-sqlite and migrate for efficient SQL queries and migrations. These libraries proved to be both powerful and user-friendly, making the development process a breeze.

https://github.com/mattn/go-sqlite3/blob/master/_example/sim...

SQLite does have an optional "user authentication" extension, though I've not personally tried it out:

https://www.sqlite.org/src/doc/trunk/ext/userauth/user-auth....

The widely used Go SQLite library by mattn says it supports it, if that's useful:

https://github.com/mattn/go-sqlite3#user-authentication

I have an OSS project, sq which is a data-wrangling swiss-army knife for structured data. Think of it as jq for databases. It supports Postgres, SQLServer, MySQL and - relevantly - SQLite. It embeds SQLite via CGo and the mattn/go-sqlite3 driver.

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here