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🌟 Maximize the Potential of a Well-Planned GraphQL Schema: Elevate Your Project! 🌟
Looking to elevate your project? Discover the game-changing benefits of a well-planned GraphQL schema. 🚀
In modern API development, GraphQL has revolutionized flexibility, efficiency, and scalability. A meticulously crafted schema lies at the core of every successful GraphQL implementation, enabling seamless data querying and manipulation. 💡
Explore the key advantages of a well-planned GraphQL schema for your project:
❤️🔥 Precisely define data requirements for each API call. GraphQL's query language empowers clients to request specific data, reducing over-fetching and network traffic This control ensures lightning-fast responses and a superior user experience.
❤️🔥 Act as a contract between frontend and backend teams, providing clear guidelines for data exchange. Developers can work independently on components, without waiting for API modifications. This decoupling accelerates development and project delivery.
❤️🔥 Anticipate future data requirements by easily adding, modifying, and deprecating with a well-designed schema. This saves development time and prevents disruptive changes down the line, making your project adaptable and future-proof.
❤️🔥 GraphQL's self-documenting nature serves as a comprehensive source of truth, eliminating ambiguity. Developers can effortlessly explore and understand data and relationships, boosting productivity and code quality.
❤️🔥 GraphQL's ability to batch and aggregate data from multiple sources optimizes backend operations By intelligently combining and caching data, you can enhance application performance, delivering lightning-fast experiences to users.
Embrace the power of a well-planned GraphQL schema to transform your project and unlock endless possibilities. Optimize data fetching, simplify development workflows, future-proof your application, enhance developer experience, and improve performance. 💪
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I also read that Salt was using MessagePack to format their messages. MessagePack is a format like JSON, but more compact. - Source: dev.to / 9 months ago
So appreciate such a detailed reply, thanks. btw, why did you choose tinylib/msgp from 4 available go-impls? Source: over 1 year ago
If you find you're running the serial connection at maximum speed and it's still not fast enough, try switching to a more compact binary encoding that has both Serde and Arduino implementations, like MsgPack... Though I don't remember enough about its format off the top of my head to tell you the easiest way to put an unambiguous header on each packet/message to make the protocol self-synchronizing. Source: over 1 year ago
The information can be stored in a database or as files, serialized in a standard format and with a schema agreed with your Data Engineering team. Depending on your information and requirements, it can be as simple as CSV, XML or JSON, or Big Data formats such as Parquet, Avro, ORC, Arrow, or message serialization formats like Protocol Buffers, FlatBuffers, MessagePack, Thrift, or Cap'n Proto. - Source: dev.to / over 1 year ago
MessagePack Similar to JSONs, just more compact, although not as much as the ones above. Still, it's usefull to retain some readability in your messages. Source: over 1 year ago
Aside from the ones mentioned graphql editor has a bunch of features that are helpful for testing like a click-out creator and a built-in mock backend for testing queries. Source: over 1 year ago
I may be wrong, but something like graphqleditor is geared more towards setting up GraphQL API/server, in Supabase case, it's database - Postgres, is the server/API. Source: about 2 years ago
I've tried graphqleditor.com but I can't get my my supabase API url to connect [mysupabaseurl].supabase.co/graphql/v1. Source: about 2 years ago
Https://graphqleditor.com/ New version is available here. Source: over 2 years ago
Make your schema and code to that. Here's a tool to help visualize. I've personally never found it useful, but maybe that's just me. Https://graphqleditor.com/. Source: over 2 years ago
Protobuf - Protocol buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data.
GraphQL Playground - GraphQL IDE for better development workflows
YAML - YAML 1.2 --- YAML: YAML Ain't Markup Language
Stellate.co - Everything you need to run your GraphQL API at scale
TOML - TOML - Tom's Obvious, Minimal Language
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
