slonik
TypeORM
slonik | TypeORM | |
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71 | 156 | |
4,422 | 33,531 | |
- | 1.2% | |
9.3 | 8.9 | |
3 days ago | 3 days ago | |
TypeScript | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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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.
slonik
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Sneakiest development trap: making easy easier...
And sometimes invest instead in learning a technology rather than hide it: for example slonik encourages you to write normal SQL queries by making SQL templating easier and safer. In turn, your IDE would be able to understand those queries and give you support based on the database schemas you actually have.
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Drizzle is just as unready for prime-time as Prisma, what else is there?
I'd push you to consider using postgres, slonik or similar for database queries. With these libraries, you just write SQL, but they perform input sanitization for you. So you can safely write:
- Slonik: PostgreSQL client for Node.js with runtime validation
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PostgresJs: The Fastest full featured PostgreSQL client for Node.js and Deno
You can already use postgres with Slonik.
https://github.com/gajus/slonik#user-content-slonik-how-are-...
It is not going to be the default because it is way slower.
https://github.com/gajus/slonik/actions/runs/6616647651
Test node_version:18 test_only:postgres-integration is taking 3 minutes.
Test node_version:18 test_only:pg-integration is taking 38 seconds.
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Integrating Slonik with Express.js
For those uninitiated, Slonik is a battle-tested SQL query building and execution library for Node.js. Its primary goal is to allow you to write and compose SQL queries in a safe and convenient way. Now, let's see how it pairs with Express.js.
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Which Postgres client are you using?
I am the maintainer of Slonik and I am trying to understand what portion of this sub-users are using Slonik vs other libraries, and if they are using anything else – what are their reasons for it.
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JEP Draft: String Templates (Final)
It's nice that they implemented string templates essentially exactly the same way Javascript template literals and tag functions work. They even give an example of using it to create a prepared statement (e.g. DB."SELECT * FROM foo WHERE bar = \{inputParam}") which is exactly what many NodeJS libraries due, e.g. Slonik https://github.com/gajus/slonik, like sql`SELECT * FROM foo WHERE bar = ${inputParam}`;
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We use TypeScript not based on preference, but because we want to make money
I've found libraries like Zod useful when interacting with external data sources like a database. Slonik[1] uses Zod to define the types expected from a SQL query and then performs runtime validation on the data to ensure that the query is yielding the expected type.
I don't think it's necessary to use Zod/runtime validation everywhere, but it's a nice tool to have on hand.
[1]https://github.com/gajus/slonik
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Is ORM still an anti-pattern?
Demonstrate how easily and accidentally one can make an SQL injection with these:
https://github.com/porsager/postgres
https://github.com/gajus/slonik
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The Epic Stack by Kent C. Dodds
Have you tried Slonik (https://github.com/gajus/slonik)? It won't generate types from queries automatically, but it encourages writing SQL vs. a query builder and allows type annotations of queries with Zod. Query results are validated at runtime to ensure the queries are typed correctly.
TypeORM
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NodeJS Security Best Practices
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.
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[DDD] Tactical Design Patterns Part 3: Presentation/Infrastructure Layer
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:
- Optimizing SQL Queries by 23x!!!
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SQLSync – Stop Building Databases
How does this compare to using directly an ORM lib that supports browser like TypeORM [0] via SQL.js [1]?
[0] https://typeorm.io/
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Deno Cron
* 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
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TypeORM - remove children with orphanedRowAction
TypeORM is a very convenient ORM for JS apps. We use it with NestJS and running it on NodeJS.
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Authentication part 3 using NestJS and Postgres database neon.tech
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? 😉
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From Good to Great: Scaling Applications with TypeORM Optimization
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.
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Top 6 ORMs for Modern Node.js App Development
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.
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Deep Dive into Google Cloud SQL Connector for Node.js
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.
What are some alternatives?
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
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.
Prisma - Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Mongoose - MongoDB object modeling designed to work in an asynchronous environment.
pgtyped - pgTyped - Typesafe SQL in TypeScript
Objection.js - An SQL-friendly ORM for Node.js
pg-promise - PostgreSQL interface for Node.js
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
denodb - MySQL, SQLite, MariaDB, PostgreSQL and MongoDB ORM for Deno
Entity Framework - EF Core is a modern object-database mapper for .NET. It supports LINQ queries, change tracking, updates, and schema migrations.