postgraphile-plugin-connection-filter
foundation
postgraphile-plugin-connection-filter | foundation | |
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6 | 210 | |
279 | 86 | |
0.0% | - | |
0.0 | 0.0 | |
15 days ago | 4 months ago | |
TypeScript | ||
MIT License | MIT License |
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postgraphile-plugin-connection-filter
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PostGraphile — The Gateway Drug To GraphQL
Connection Filter Plugin
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Show HN: Graphweaver – Instant GraphQL API on Postgres, MySQL, SQLite and More
For example:
https://github.com/graphile-contrib/postgraphile-plugin-conn...
and
https://github.com/graphile/pg-aggregates
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GraphQL server frameworks do NOT support ad hoc querying out of the box?
Have a look at PostGraphile (in case you are using JavaScript and a PostgreSQL DB). With the advanced connection filter plugin (https://github.com/graphile-contrib/postgraphile-plugin-connection-filter) you get an automatically created filter for multiple items and their connection.
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Experiences with GraphQL and ORMs
The postgraphile-plugin-connection-filter I referred to is up-front about the fact that the filters it generates could allow a caller to form queries that would bring your server to its knees. So I'd have to do some work to limit what predicates were allowed.
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Don’t we all just want to use SQL on the front end?
More examples here: https://github.com/graphile-contrib/postgraphile-plugin-conn...
(Personally, I think their docs are good at telling you how to use it but fairly bad at showing how great the tool is)
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Is there a standard or best-practice syntax for passing down "filters" as arguments in GraphQL queries?
I really line the approach used here https://github.com/graphile-contrib/postgraphile-plugin-connection-filter
foundation
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.
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REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.
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Gatsby tutorial: Build a static site with a headless CMS
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.
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Rust GraphQL APIs for NodeJS Developers: Introduction
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:
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How to convert a TypeScript built-in enum to a GraphQL enum
At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.
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Embracing the Headless Channel in Xperience by Kentico
This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.
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Building a CRUD application with React, TypeScript, TypeORM, MySQL, GraphQL, and NodeJs | Part A
To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.
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Supercharging Your App Development: Unleashing the Full Potential of React Native
GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.
What are some alternatives?
supabase - The open source Firebase alternative.
MongoDB - The MongoDB Database
postgrest - REST API for any Postgres database
reddit-clone-with-redwoodjs
postgraphile-plugin-conn
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
mingo - MongoDB query language for in-memory objects
Apache Cassandra - Mirror of Apache Cassandra
mongo-parse - A parser for mongo db queries and projections.
React - The library for web and native user interfaces.
storage-foundation-api-explainer - Explainer showcasing a new web storage API, NativeIO
Materialize - Materialize, a CSS Framework based on Material Design