go-tools VS pgx

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.

Sometimes, backend developers tend to opt for an ORM library because it provides an abstraction between your app and the database and thus there is little or no need to write raw queries and migrations which is nice. However, if you want to get better at writing queries (SQL for example), you need to learn how to build your repositories without an ORM. To open a database handle, you can either do it directly from the database driver or do it from database/sql with the driver passed into it. I will be opening the connection with database/sql together with pgx which is a driver and toolkit for PostgreSQL. Walk with me.

The infrastructure layer contains the concrete implementation of the repository domain interface ActivityRepository in the struct DbActivityRepository. This repository implementation uses the Postgres driver pgx and plain SQL to store the activity in the database. It uses the database transaction from the context, since the transaction was initiated by the application service.

For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver, the reason I choose PostgreSQL because it is the most popular relational database to use in production and offers efficient Go integration. I'm also implementing caching using Redis with go-redis client library, which provides powerful in-memory data storage capabilities.

If you are willing to commit to working only with Postgres, I highly recommend pgx. Be sure you get the latest version github.com/jackc/pgx/v5. This gives you the full power of interacting with Postgres without going through an intermediate lowest-common-denominator library.

It uses pg package and pgx driver under the hood.

Starting off, is there any reason you're calling out to the CLI, instead of just using a Postgres driver like pgx? Shelling out to the command line should always be a last resort where possible as a software engineer.

For maintaining state I use PostgreSQL. Driver: https://github.com/jackc/pgx (I use the pgxpools) Along with Sqlc for generating database models and allowing me to focus on just building queries in DBeaver. https://sqlc.dev/

An example of what I'm looking for can be found here https://github.com/jackc/pgx/wiki/Getting-started-with-pgx-through-database-sql/c9f798b4d9a500fcf93931df2464af969d68f516

Except pgx recommends using their native interface, not database/sql, for performance and extra features [0], so it's not that simple in practice.

[0]: https://github.com/jackc/pgx#choosing-between-the-pgx-and-da...

pgx is “PostgreSQL driver and toolkit for Go”. Take a look at https://github.com/jackc/pgx