graphql-query-complexity
falcor
| graphql-query-complexity | falcor | |
|---|---|---|
| 4 | 5 | |
| 681 | 10,423 | |
| 0.1% | 0.2% | |
| 0.0 | 0.0 | |
| 7 months ago | 7 months ago | |
| TypeScript | JavaScript | |
| MIT License | Apache License 2.0 |
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graphql-query-complexity
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Migrating Netflix to GraphQL Safely
https://github.com/slicknode/graphql-query-complexity
In addition you could introduce CI tools to enforce your devs stop writing such complex queries. Also see the @skip and @include directives that can further be used to control what data is queried. In practice, however, this isn't something that comes up too much. In cases where I have seen this happen, it's usually because a developer is trying to reuse fragments without considering what data they are querying, and whether they should be reusing those fragments.
https://graphql.org/learn/queries/#fragments
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GraphQL DoS amount-attack "breadth"
very cool! I was looking at https://github.com/slicknode/graphql-query-complexity
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Preventing GraphQL batching attacks
There are a couple of techniques that can be used to prevent this kind of problem one of them is GraphQL Query Complexity Analysis which is, as the name suggests, very complex to implement correctly. It requires analysis of how the graphql API is used, and what queries and mutations are most often called. If you get this wrong, there is a danger of the server denying perfectly valid queries.
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To GraphQL or not to GraphQL? Pros and Cons
The problem is that those queries are not prevented by commonly available rate limiters. You can send a single request to a GraphQL server that completely overwhelms the servers. To prevent such queries to GraphQL APIs, I wrote graphql-query-complexity, an extensible open-source library that detects such queries and rejects pathological queries before consuming too many resources on the server. You can assign each field a complexity value, and queries that exceed a threshold will be rejected. In Slicknode this protection is added automatically based on the number of nodes that are being returned.
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?
dataloader - DataLoader is a generic utility to be used as part of your application's data fetching layer to provide a consistent API over various backends and reduce requests to those backends via batching and caching.
risingwave - Cloud-native SQL stream processing, analytics, and management. KsqlDB and Apache Flink alternative. 🚀 10x more productive. 🚀 10x more cost-efficient.
starter-nextjs-blog - NextJS + Slicknode Headless GraphQL CMS blog starter kit
graphql-bench - A super simple tool to benchmark GraphQL queries
crystal - 🔮 Graphile's Crystal Monorepo; home to Grafast, PostGraphile, pg-introspection, pg-sql2 and much more!
graphql-no-batched-queries - Graphql validation to disable batched queries and mutations.
graphql-spec - GraphQL is a query language and execution engine tied to any backend service.
analysis-ui - Front-end for Conveyal Analysis. Model and analyze transport scenarios.
apollo-ios - 📱  A strongly-typed, caching GraphQL client for iOS, written in Swift.
foundation - GraphQL Foundation Charter and Legal Documents
Spring Boot - Spring Boot