ioc
dataloader
| ioc | dataloader | |
|---|---|---|
| 1 | 47 | |
| 273 | 12,635 | |
| 1.1% | 0.2% | |
| 3.3 | 3.1 | |
| about 1 year ago | about 1 month ago | |
| TypeScript | JavaScript | |
| MIT License | MIT License |
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ioc
dataloader
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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! :)
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How to use DataLoader with Mercurius GraphQL
DataLoader: it is the standard solution to N+1 problem.
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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.
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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.
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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
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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
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Implementing logger with metadata
In the next article, I'm going to implement a GraphQL server with dataloader using the tools we introduced.
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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.
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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?
brandi - The dependency injection container 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.
crankshaft - a fast, feature-rich krunker client written in typescript
react-relay - Relay is a JavaScript framework for building data-driven React applications.
genioc - Bloat-free and magical IoC-container for Typescript based on code-generation
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
fold - IoC container with all required goodies to write flexible node applications
jest - Delightful JavaScript Testing.
ExpressBeans - ExpressBeans is a lightweight IoC Container (Inversion of Control Container) that allow a clean java-like code organization.
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#)