Slick VS TypeORM

Made a PR on slick to document this https://github.com/slick/slick/pull/2760 (workaround is quite easy, you can just define def tupled = (apply _).tupled in the companion object of the case class and it will also compile for all Scala versions).

The Scala ecosystem has a few ways to do composable type-safe query building, e.g. Slick[0] or more recently Quill[1]. . I believe both also have ways to do compile-time string interpolation (e.g. sql"""select * from users where id = ${user.id}""") which generate prepared statements (I know Slick does prepared statements. Quill has similar macros but I haven't looked into how safe they are to use).

[0] https://scala-slick.org/

Release notes at https://github.com/slick/slick/releases/tag/v3.5.0-M3

With all this in mind, I landed at the first candidate: slick from https://scala-slick.org/ that you all probably know.

I think Slick's current priority is also getting in Scala 3 support: https://github.com/slick/slick/issues/2177

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https://github.com/slick/slick/pull/2097 now I use slightly lower version of slick so this might be an upgrade that resolves (I do recall using it in 21 and it was still buggy and I filed a ticket, which I cannot find at the moment), but given a complex enough query (we have one in PROD which has tons of flexibility in terms of filters that can be passed in) but it also makes for complex code.

I started writing a reply but then I realized it would be long and depends on exactly what you mean, so maybe it's better to post the question in https://github.com/slick/slick/discussions/categories/questions?

I purchased the very entertaining book Seven Languages in Seven Weeks. Although I found Haskell fascinating and tempting, I knew it was unrealistic to introduce it in our company. Scala on the other hand looked like it could be the holy grail: All the characteristics I was looking for, no need to abandon the JVM and its cornucopia of tools and libraries, and the possibility for coexistence with Java and therefore incremental adoption. After implementing some simple programs to identify any immediate risks of committing to the language and its ecosystem, I started to introduce Scala in customer projects. Luckily, I was fortunate enough to work with open-minded, curious, and ambitious team members who were also experienced enough to appreciate the benefits of the language. We immediately applied our experience with functional programming, and embraced immutability. Libraries like Slick and Akka HTTP (we actually started out with its predecessor, Spray) made building database-backed REST services a breeze. And the resulting code was robust and highly maintainable. Scala's expressive type system and type inference made it easy to build a restrictive, consistent domain model without bloating the code. There was virtually no overhead. Any boilerplate could be easily abstracted out. In the end, the application code felt natural, concise and elegant. Programming was fun again.

If you use Sequalize, TypeORM or for MongoDB, we have Mongoose these types of ORM tools, then you are safe by default because these help us against the SQL query injection attacks by default.

We decided to use MySQL for a database. and TypeOrm for ORM. The ER diagram is provided below. For example, the task_assignments table holds information about user assignments to tasks. While in DDD, there is a pattern to design denormalized tables that reflect the structure of domain objects more directly, but this time, a more conventional table design was chosen. TypeOrm models:

How does this compare to using directly an ORM lib that supports browser like TypeORM [0] via SQL.js [1]?

[0] https://typeorm.io/

* Patch a third-party library that was setting an HTTP header to `null`. NodeJS handles this case just fine, but Deno throws an error [2].

After all of that work, I finally was able to use Deno in my project. It was really cool! Unfortunately, both VS Code and IntelliJ with Deno are essentially unusable [3]. Or, at least, unacceptably slow compared to what I had with NodeJS.

[0]: https://stackoverflow.com/a/66073607

[1]: https://github.com/typeorm/typeorm/issues/6123#issuecomment-...

[2]: https://github.com/Sansossio/twisted/issues/97

[3]: https://github.com/denoland/vscode_deno/issues/895

TypeORM is a very convenient ORM for JS apps. We use it with NestJS and running it on NodeJS.

We are going to start using TypeORM as an ORM to help us interact with Postgres, but we also have an example of using Prisma in the future and everything that we have to adapt to switch the ORMs if necessary. At the end we are implementing neon.tech as a production database, right? 😉

TypeORM is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a high-level abstraction over relational databases, making it easy to perform CRUD (Create, Read, Update, Delete) operations.

TypeORM places its focus on TypeScript and JavaScript (ES7+) development. It offers compatibility with various database systems, including MySQL, PostgreSQL, SQLite, and MongoDB. What sets TypeORM apart is its robust integration with TypeScript. It provides a user-friendly experience with a convenient decorator-based syntax for defining entities and relationships. Additionally, TypeORM supports the repository pattern and enables eager loading, enhancing its versatility for developers.

ᴬ typeorm officially supports mssql@v9, but the support for the custom stream builder was added in mssql@v10. Since mssql is a peer dependency of typeorm, you can force override it and use the Cloud SQL Connector with typeorm. There is an open PR to add support for mssql@v10 in typeorm.