typed-inject
dataloader
typed-inject | dataloader | |
---|---|---|
3 | 47 | |
411 | 12,642 | |
- | 0.2% | |
3.3 | 3.1 | |
9 months ago | about 1 month ago | |
TypeScript | JavaScript | |
Apache License 2.0 | 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.
typed-inject
-
Typesafe, (almost) Zero Cost Dependency Injection in TypeScript
typed-inject
-
Has anyone successfully created a Dependency Injection using typescript decorators?
If you don’t want to tie yourself to a full web framework like Nest, there are a few DI-only frameworks that work with decorators, like TypeDI, TSyringe, or Typed Inject.
-
Top 5 TypeScript dependency injection containers
The Typed Inject project focuses on type safety and explicitness. It uses neither decorators nor decorator metadata, opting instead for manually declaring dependencies. It allows for multiple DI containers to exist, and dependencies are scoped either as singletons or as transient objects.
dataloader
-
Delving into the Black Magic of GraphQL DataLoader! 🌌✨
When I began working with GraphQL, I had concerns about the N+1 query problem. In my research, I came across the DataLoader pattern and its implementation on GitHub. While I explored various examples of its usage, I still struggled to grasp how it operates internally. Join me in delving a bit deeper into GraphQL DataLoader! :)
-
How to use DataLoader with Mercurius GraphQL
DataLoader: it is the standard solution to N+1 problem.
-
Best Practices in Testing GraphQL APIs
Additionally, you can use DataLoader or similar tools to optimize data fetching and avoid over-fetching or under-fetching data. Ultimately, performance and load tests ensure that your GraphQL API delivers optimal performance, meets response time expectations, and provides a smooth experience for users, even under heavy loads.
-
Migrating Netflix to GraphQL Safely
The most common practice is to turn N+1 into 1+1 using dataloaders (https://github.com/graphql/dataloader for JS, there are equivalents for most implementations). The N resolvers invoke a single batched loader which receives a list of keys and returns a list of values.
-
SQL vs. NoSQL - cutting through the Tech Twitter noise
Let's take Payload, for example. Surprise, surprise. We have a relationship field, and it can store IDs to other related documents which are seamlessly merged in when you retrieve documents from the DB. We leverage the dataloader pattern to batch together all "populations" required for a given query, returning them all super fast and with as few separate queries to the DB as possible. We actually even outperform SQL-based frameworks quite a bit. In a purely relational test, we were 3x faster than Directus and 7x faster than Strapi while both were running Postgres, and we were on MongoDB.
- NoSQL vs. SQL - cutting through the Tech Twitter noise with a real-world use case
-
We Ditched REST and Went with GraphQL: Here’s Why
Also, have a look at Facebook's Dataloader[0].
[0] https://github.com/graphql/dataloader
-
Implementing logger with metadata
In the next article, I'm going to implement a GraphQL server with dataloader using the tools we introduced.
-
Typesafe, (almost) Zero Cost Dependency Injection in TypeScript
The one example of using Scoped dependency that comes to my mind, it's HTTP request level caching for libs like dataloader.
-
GraphQL Trades Complexity
you would fetch these 1000 rows via dataloader that batches all requests for this relation to a single query... solving the n+1 issue
What are some alternatives?
InversifyJS - A powerful and lightweight inversion of control container for JavaScript & Node.js apps powered by TypeScript.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
tsyringe - Lightweight dependency injection container for JavaScript/TypeScript
react-relay - Relay is a JavaScript framework for building data-driven React applications.
typedi - Simple yet powerful dependency injection tool for JavaScript and TypeScript.
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
jest - Delightful JavaScript Testing.
di-compiler - A Custom Transformer for Typescript that enables compile-time Dependency Injection
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.
injection-js - Dependency injection library for JavaScript and TypeScript in 5.1K. It is an extraction of the Angular's ReflectiveInjector which means that it's well designed, feature complete, fast, reliable and well tested.
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)