dataloader
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dataloader | foundation | |
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47 | 210 | |
12,635 | 86 | |
0.6% | - | |
3.1 | 0.0 | |
about 1 month ago | 4 months ago | |
JavaScript | ||
MIT License | MIT License |
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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
foundation
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.
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REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.
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Gatsby tutorial: Build a static site with a headless CMS
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.
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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:
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How to convert a TypeScript built-in enum to a GraphQL enum
At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.
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Embracing the Headless Channel in Xperience by Kentico
This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.
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Building a CRUD application with React, TypeScript, TypeORM, MySQL, GraphQL, and NodeJs | Part A
To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.
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Supercharging Your App Development: Unleashing the Full Potential of React Native
GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.
What are some alternatives?
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.
MongoDB - The MongoDB Database
react-relay - Relay is a JavaScript framework for building data-driven React applications.
reddit-clone-with-redwoodjs
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
jest - Delightful JavaScript Testing.
Apache Cassandra - Mirror of Apache Cassandra
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.
React - The library for web and native user interfaces.
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Materialize - Materialize, a CSS Framework based on Material Design