dataloader
falcor
dataloader | falcor | |
---|---|---|
47 | 5 | |
12,635 | 10,423 | |
0.2% | 0.2% | |
3.1 | 0.0 | |
about 1 month ago | 7 months ago | |
JavaScript | JavaScript | |
MIT License | Apache License 2.0 |
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dataloader
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Delving into the Black Magic of GraphQL DataLoader! ๐โจ
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: Hereโs 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
falcor
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Netflix Uses Java
Interesting the article jumps straight from REST to GraphQL and forgets Falcor[0] - Netflix's alternative vision for federated services. For a while it looked like it might be a contender to GraphQL but it never really seemed to take off despite being simpler to adopt.
[0] https://netflix.github.io/falcor/
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Migrating Netflix to GraphQL Safely
The business case seems to be to finally kill Falcor [1] which had a lot of similarities to GraphQL but a much smaller maintenance and developer community than GraphQL and I would assume looked a lot like tech debt to Netflix at this point.
[1] https://github.com/Netflix/falcor
- Falcor: One Model Everywhere
- Streaming data in Postgres to 1M clients with GraphQL
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.
risingwave - Cloud-native SQL stream processing, analytics, and management. KsqlDB and Apache Flink alternative. ๐ 10x more productive. ๐ 10x more cost-efficient.
react-relay - Relay is a JavaScript framework for building data-driven React applications.
graphql-bench - A super simple tool to benchmark GraphQL queries
Knex - A query builder for PostgreSQL, MySQL, CockroachDB, SQL Server, SQLite3 and Oracle, designed to be flexible, portable, and fun to use.
graphql-spec - GraphQL is a query language and execution engine tied to any backend service.
jest - Delightful JavaScript Testing.
apollo-ios - ๐ฑ ย A strongly-typed, caching GraphQL client for iOS, written in Swift.
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.
Spring Boot - Spring Boot
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
apollo-android - :robot: ย A strongly-typed, caching GraphQL client for the JVM, Android, and Kotlin multiplatform.