react-relay
dataloader
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react-relay | dataloader | |
---|---|---|
50 | 47 | |
18,170 | 12,626 | |
0.3% | 0.5% | |
9.7 | 3.3 | |
6 days ago | 24 days ago | |
Rust | JavaScript | |
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.
react-relay
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How To Handle Data With GraphQL Relay Client Schema Extensions
GraphQL Relay is one of the most powerful GraphQL clients that you can found on the web environment. It provides to you a lot of features that lets your development flow in a scalable way.
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GraphQL clients that automatically combine queries/fragments
GQty (https://gqty.dev/) and Relay (https://relay.dev/) will combine fragments or queries you request in your React components and will handle combining these / getting the data each component needs with as few queries as is possible. Are there any other clients I’ve missed? It’s not immediately clear to me whether this is possible with Urql via Exchanges (https://formidable.com/open-source/urql/docs/advanced/authoring-exchanges/).
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Server-side Rendering (SSR) From Scratch with React
Inside Woovi, our entire codebase is managed by GraphQL using the Relay client framework. To ensure the best UX possible for our final user, we give some useful features in our payment link, like the real-time update after paying a charge. It's all handled by our GraphQL, which won't be solvable by templates in our use case.
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Seeking advice: Should I continue my Web Developer job or pursue my passion for compilers?
Since you mentioned Node CRUD APIs, I'd probably suggest looking at Relay/GraphQL. Would give you exposure to some interesting and employable skills that wouldn't require you learning an entirely new domain on top of it. They are rewriting the current compiler in Rust, which since you mentioned Rust might be interesting to follow. Uneducated takes, but GraphQL is a schema IDL, so would probably be a good place to start to minimize lexical complexity while still having some cool abstract concepts to learn (interfaces, unions, etc).
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Compressing GraphQL Global Node ID
You may be familiar with Global Object Identification(GOI), especially if you've used Relay.
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Top React Data Fetching Libraries
Relay (17k ⭐) -> The production-ready GraphQL client for React, developed by Facebook, was designed to be performant from the ground up, built upon locally declaring data dependencies for components.
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Twitter open sources Navi: High-Performance Machine Learning Serving Server in Rust
I think open sourcing for free labor is a common misconception. Most corporate led open source projects (eg, https://github.com/bottlerocket-os/bottlerocket from AWS or https://github.com/facebook/relay from Facebook) still require a team of employees.
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How Woovi uses Relay?
If you look at relay.dev, Relay is the GraphQL client that scales with you. This definition is simple and defines Relay pretty well for the ones that already know all the features that Relay brings to the table.
- Relay – The GraphQL client that scales with you
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Is it possible to create a symbolic link to a folder to solve case sensitivity?
https://github.com/psf/black/issues/338 https://github.com/VeriorPies/ParrelSync/issues/61 https://github.com/prusa3d/PrusaSlicer/issues/5751 https://github.com/iterative/dvc/issues/2530 https://github.com/facebook/relay/issues/3647 And I know godmode9 at one point absolutely freaked when navigating into a symlink. It kinda depends on the app and what it's trying to load
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].
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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?
react-query - 🤖 Powerful asynchronous state management, server-state utilities and data fetching for TS/JS, React, Solid, Svelte and Vue. [Moved to: https://github.com/TanStack/query]
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.
apollo-client - :rocket: A fully-featured, production ready caching GraphQL client for every UI framework and GraphQL server.
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
SWR - React Hooks for Data Fetching
jest - Delightful JavaScript Testing.
axios - Promise based HTTP client for the browser and node.js
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.
urql - The highly customizable and versatile GraphQL client with which you add on features like normalized caching as you grow.
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
TanStack Query - 🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.
BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries