MikroORM
pggen
MikroORM | pggen | |
---|---|---|
48 | 11 | |
7,202 | 270 | |
1.7% | - | |
9.9 | 6.6 | |
about 23 hours ago | 3 months ago | |
TypeScript | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MikroORM
-
Rust GraphQL APIs for NodeJS Developers: Introduction
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:
- MikroORM 6: Polished β MikroORM
- I Hate NestJS
-
What's wrong with Node.js ORMs? Thousands of issues? Why?
https://www.npmjs.com/package/mikro-orm - 44 issues
-
Top 6 ORMs for Modern Node.js App Development
Mikro-ORM is a TypeScript ORM that focuses on simplicity and efficiency. It supports various SQL databases and MongoDB. Mikro-ORM is known for its simplicity and developer-friendly APIs. It provides a concise syntax for defining data models and relationships, making it easy to use.
-
We migrated to SQL. Our biggest learning? Don't use Prisma
I found MikroORM [0] to be quite reasonable if you're in the TS ecosystem already. It was also easy to do custom, raw queries, and really just felt like it wasn't in the way.
[0] https://mikro-orm.io/
- Mikro-ORM β TypeScript ORM for Node.js
-
The Epic Stack by Kent C. Dodds
It also does code generation into its own module, so good luck with hoisting in a monorepo where you want multiple independent prisma schemas. MikroORM[1] is a much better alternative to Prisma in my opinion but any ORM carries some form of baggage.
[1] https://mikro-orm.io/
-
MikroORM v6 gets a strict partial loading support
More about v6 development can be found here.
-
Announcing a new TypeScript ORM
I recommend looking at https://mikro-orm.io/
pggen
-
Ask HN: ORM or Native SQL?
Cornucopia is neat. I wrote a similar library in Go [1] so I'm very interested in comparing design decisions.
The pros of the generated code per query approach:
- App code is coupled to query outputs and inputs (an API of sorts), not database tables. Therefore, you can refactor your DB without changing app code.
- Real SQL with the full breadth of DB features.
- Real type-checking with what the DB supports.
The cons:
- Type mapping is surprisingly hard to get right, especially with composite types and arrays and custom type converters. For example, a query might return multiple jsonb columns but the app code wants to parse them into different structs.
- Dynamic queries don't work with prepared statements. Prepared statements only support values, not identifiers or scalar SQL sub-queries, so the codegen layer needs a mechanism to template SQL. I haven't built this out yet but would like to.
[1]: https://github.com/jschaf/pggen
-
What are the things with Go that have made you wish you were back in Spring/.NET/Django etc?
pggen is another fantastic library in this genre, which specifically targets postgres. It is driven by pgx. Can not recommend enough.
-
Exiting the Vietnam of Programming: Our Journey in Dropping the ORM (In Golang)
> Do you write out 120 "INSERT" statements, 120 "UPDATE" statements, 120 "DELETE" statements as raw strings
Yes. For example: https://github.com/jschaf/pggen/blob/main/example/erp/order/....
> that is also using an ORM
ORM as a term covers a wide swathe of usage. In the smallest definition, an ORM converts DB tuples to Go structs. In common usage, most folks use ORM to mean a generic query builder plus the type conversion from tuples to structs. For other usages, I prefer the Patterns of Enterprise Application Architecture terms [1] like data-mapper, active record, and table-data gateway.
[1]: https://martinfowler.com/eaaCatalog/
-
Back to basics: Writing an application using Go and PostgreSQL
You might like pggen (Iβm the author) which only supports Postgres and pgx. https://github.com/jschaf/pggen
pggen occupies the same design space as sqlc but the implementations are quite different. Sqlc figures out the query types using type inference in Go which is nice because you donβt need Postgres at build time. Pggen asks Postgres what the query types are which is nice because it works with any extensions and arbitrarily complex queries.
-
How We Went All In on sqlc/pgx for Postgres + Go
Any reason to use sqlc over pggen ? If you use Postgres, it seems like the superior option.
- We Went All in on Sqlc/Pgx for Postgres and Go
-
What are your favorite packages to use?
Agree with your choices, except go-json which I never tried. pggen is fantastic. Love that library. The underlying driver, pgx, is also really well written.
-
I don't want to learn your garbage query language
You might like the approach I took with pggen[1] which was inspired by sqlc[2]. You write a SQL query in regular SQL and the tool generates a type-safe Go querier struct with a method for each query.
The primary benefit of pggen and sqlc is that you don't need a different query model; it's just SQL and the tools automate the mapping between database rows and Go structs.
[1]: https://github.com/jschaf/pggen
[2]: https://github.com/kyleconroy/sqlc
-
What is the best way to use PostgreSQL with Go?
I created pggen a few weeks ago to create my preferred method of database interaction: I write real SQL queries and I use generated, type-safe Go interfaces to the queries. https://github.com/jschaf/pggen
What are some alternatives?
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
sqlc - Generate type-safe code from SQL
TypeORM - ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
SQLBoiler - Generate a Go ORM tailored to your database schema.
Mongoose - MongoDB object modeling designed to work in an asynchronous environment.
sqlpp11 - A type safe SQL template library for C++
Sequelize - Feature-rich ORM for modern Node.js and TypeScript, it supports PostgreSQL (with JSON and JSONB support), MySQL, MariaDB, SQLite, MS SQL Server, Snowflake, Oracle DB (v6), DB2 and DB2 for IBM i.
pggen - A database first code generator focused on postgres
drizzle-orm - Headless TypeScript ORM with a head. Runs on Node, Bun and Deno. Lives on the Edge and yes, it's a JavaScript ORM too π
SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
prisma-examples - π Ready-to-run Prisma example projects
honeysql - Turn Clojure data structures into SQL