cargo-watch VS PostgreSQL

I used cargo-watch here so that every time my source changes, the server will automatically restart and re-serve the updated code.

watch-one-test test_name: # More info on cargo test: https://doc.rust-lang.org/cargo/commands/cargo-test.html # More info on cargo watch: https://github.com/watchexec/cargo-watch cargo watch -x check -x 'test -- --test-threads=1 --nocapture {{test_name}}' -c -q

Rust: RPDS https://docs.rs/rpds/latest/rpds/ and Im https://docs.rs/im/latest/im/

Rust isn’t great for letting you do FP things like other languages, but it does have the best type system imho which makes it the leading functional programming language right now imho. If you’re not using too many specialized python packages then I recommend using Rust instead, even for toy demos, as you can be more confident your code works without needing to run it and wait for a crash like you would in debugging python, and the tests also run faster in rust due to the incremental compilation. Use cargo-watch and you can retest your code every time you save your work.

https://github.com/watchexec/cargo-watch

I usually write a make command to cargo watch and rerun each test file : code file pair independently so then you won’t rerun your tests in other modules when you change the one you work on (faster but might miss stuff if you change API contracts which touch other parts of your codebase)

you can use cargo-watch to real time run tests on save in your attached vs code console session which is about as close to what you're asking as I think exists for rust

Note that cargo, by virtue of being a package manager for a programming language, is primarily going to be dealing with library packages. That's not because it can't manage executables (see cargo-watch for a particularly useful example), it's just that it's less common.

Also check out cargo-watch -- https://crates.io/crates/cargo-watch

Unless there's a new issue, I think this is what was here: https://github.com/watchexec/cargo-watch/issues/249

A feature that I look for whenever possible in my development environment is Hot Reload, with it, every time a file is changed and saved the application restarts, so the cycle of writing-evaluating-refactoring code becomes extremely fast, for Rust, we have cargo watch, I suggest taking a look at the documentation for more details.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:

PostgreSQL

PostgreSQL: Offers a robust feature set and strong compliance with SQL standards, making it suitable for a wide range of applications, from simple to complex, particularly where data integrity and extensibility are key.

FerretDB is an open source document database that adds MongoDB compatibility to other database backends, such as Postgres and SQLite. By using FerretDB, developers can access familiar MongoDB features and tools using the same syntax and commands for many of their use cases.

To better understand how SQL injection works, let's quickly create a vulnerable app using Node.js, Express, and a PostgreSQL database. The application takes user input from a form, constructs a SQL query, and executes it against the database to fetch some data.