graphql-batch
dataloader
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graphql-batch | dataloader | |
---|---|---|
3 | 47 | |
1,404 | 12,632 | |
0.4% | 0.5% | |
6.2 | 3.3 | |
21 days ago | about 1 month ago | |
Ruby | JavaScript | |
MIT License | MIT License |
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graphql-batch
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The GraphQL N+1 Problem and SQL Window Functions
After recognizing the problem, we brainstormed options to offload some of the work onto the database server to ultimately reduce the Rails application’s memory consumption. One particularly promising avenue involved SQL window functions. After deciding to pursue SQL window functions, we started our work by considering the WindowKeyLoader example described in the graphql-batch repository.
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N+1 problem will never be an issue with N1Loader gem
Interesting, I've just been researching Dataloader implementations for Ruby and have between trying to decide between GraphQL::Dataloader, graphql-batch and BatchLoader. I'll give this a look as well. Can you also make API calls inside the loaders?
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"I'm the CTO of a Growing Rails Startup" Ask Me Anything
This is mainly addressed in the last thing but we cache pretty heavily on our REST APIs and for GraphQL we use the graphql-batch gem pretty heavily. Those two things can go a long way. Make sure you're using an APM like Scout to keep an eye on things and then debug the outliers.
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?
graphql-guard - Simple authorization gem for GraphQL :lock:
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.
graphql-client - A Ruby library for declaring, composing and executing GraphQL queries
react-relay - Relay is a JavaScript framework for building data-driven React applications.
GQLi - Ruby GraphQL Client for Humans
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
moql - Mock GraphQL server for fast reliable integration tests.
jest - Delightful JavaScript Testing.
BatchLoader - :zap: Powerful tool for avoiding N+1 DB or HTTP queries
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.
Spree Commerce - A headless open source e-commerce platform for global brands
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)