11 个仓库
Mechanisms for mapping schema fields to resolver functions that retrieve data from various sources.
Distinct from Data Fetching: Specifically for GraphQL resolver-based fetching, whereas the candidate is for general remote data retrieval.
Explore 11 awesome GitHub repositories matching web development · Resolver-Based Fetching. Refine with filters or upvote what's useful.
This project is the JavaScript reference implementation of the GraphQL specification. It provides a query engine and schema parser designed to parse, validate, and execute queries to retrieve or mutate data based on a defined schema. The implementation includes a framework for mapping codebase structures to a strongly typed system and a tool for converting query strings into abstract syntax trees for programmatic analysis. The library covers the full surface of GraphQL API implementation, including schema definition, language parsing, and query validation. It provides the necessary infrastru
Uses resolver functions to map schema fields to underlying data sources during execution.
This project is a full stack web development framework and GraphQL API framework. It provides the tooling to define data schemas and map resolver functions to handle application data requests, ensuring consistency between the server API and the client consumption layer. The system includes a GraphQL schema validator and a JavaScript dependency manager. These tools enforce formal data models and validate that all project workspaces use identical dependency versions to prevent runtime conflicts. The framework covers GraphQL API development, monorepo dependency management, and the auditing of p
Maps GraphQL schema fields to specific resolver functions for retrieving data from various sources.
This project is a GraphQL implementation for Go, providing a complete suite for building GraphQL servers. It includes a schema engine for defining types, a query parser to convert strings into abstract syntax trees, and an execution engine that resolves fields against a defined schema to return structured data. The library distinguishes itself through reflection-based type mapping, allowing object definitions and arguments to be derived directly from native Go structs. It also supports the execution of real-time data streaming via GraphQL subscriptions and provides an extensible execution pip
Processes multiple data fetching requests in parallel to minimize response latency for complex queries.
Graphene is a library and framework for building type-safe GraphQL APIs and schemas using Python objects and resolvers. It provides a system for mapping internal data models to typed GraphQL schemas, enabling the creation of servers that process queries and execute resolvers to return structured data. The project includes a full implementation of the Relay specification, providing standardized patterns for global object identification and cursor-based pagination. It utilizes a class-based approach to schema definition and supports interface-based type inheritance. The framework covers a broa
Uses resolver functions to map schema fields to data retrieval logic from various sources.
Type-graphql is a toolkit and framework for creating type-safe GraphQL APIs. It functions as a schema generator and resolver library that uses TypeScript classes and decorators as the primary source of truth for data structures and query logic. The project enables the definition of GraphQL schemas and resolvers through typed classes rather than manual schema definition language. This approach ensures that TypeScript types automatically align with the GraphQL schema to prevent runtime errors. The framework provides capabilities for API implementation, including input data validation and acces
Structures business logic and data fetching using class-based controllers and dependency injection.
GraphQL.NET 是一个用于在 C# 应用程序中构建和执行 GraphQL API 的服务端框架。它提供了一套全面的工具包,用于模式构建、分布式数据图的联合引擎,以及用于管理实时数据流的订阅处理器。 该项目的独特之处在于其灵活的模式构建器,支持程序化的代码优先定义和使用标准模式定义语言的声明式模式优先方法。它包括一个专门的联合引擎,用于将数据图拆分为子图并将其组合成统一的网关,以及一个专门设计用于通过批处理和缓存解决 N+1 查询问题的数据加载器实现。 该框架涵盖了广泛的操作功能,包括用于服务生命周期管理的依赖注入集成、用于字段解析拦截的中间件流水线,以及针对值类型优化以减少内存分配的执行流水线。它还提供用于查询复杂度分析、文档缓存和基于角色的访问控制的工具,以保护 API 端点。 对提前(AOT)模式编译的支持允许该框架在禁止动态代码生成的环境中执行。
Caps the maximum number of asynchronous field resolvers that can execute simultaneously to maintain system stability.
CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools
CodeIgniter groups controller files into nested folders under the main controllers directory for larger applications.
graphql-go is a server library for implementing GraphQL servers in Go. It provides the core infrastructure for schema parsing, resolver mapping, and query execution. The library includes a subscription engine that enables real-time data streaming to clients using WebSocket transport. It also features an execution tracer for monitoring and profiling query performance through telemetry tools. The system manages resource consumption and stability through a query optimizer that enforces depth restrictions and controls resolver concurrency. It supports data fetching optimization via field-level p
Controls the number of simultaneous resolver goroutines per request to prevent system overload.
graphql-go is a schema-first GraphQL library and server implementation for Go. It provides a query execution engine and schema parser that converts schema definition strings into executable structures and validates resolver signatures. The library also includes a streaming implementation for real-time GraphQL subscriptions using channels within resolvers. The project distinguishes itself through parallel resolver execution to reduce request latency and the use of buffer-pool memory management to lower garbage collection overhead. It enables the creation of cloneable schema instances from a sh
Executes multiple field resolvers concurrently to reduce the total latency of a single query request.
Strawberry 是一个用于 Python 的类型安全 GraphQL 库,支持使用 Python 类型注解和数据类(dataclasses)来设计 Schema。它作为一个异步 GraphQL 服务器和执行引擎,提供了将 Schema 暴露给 ASGI 兼容 Web 框架(如 FastAPI、Django、Flask 和 Litestar)的桥梁。 该项目实现了 GraphQL Federation,允许创建分布式 Schema 和实体,并将它们合并为跨多个服务的统一超图(supergraph)。它还包含一个专用的 Relay 规范工具包,支持全局对象标识和基于连接的分页。 该框架涵盖了广泛的能力,包括通过 WebSocket 和服务器发送事件(SSE)进行实时数据流传输、Pydantic 模型映射以及自动代码生成。它为安全性和可观测性提供了集成工具,例如查询复杂度限制、基于角色的访问控制(RBAC)和执行指标追踪。 开发者可以使用内置的开发服务器和交互式 Schema 检查界面进行原型设计。
Runs data fetching tasks concurrently using non-blocking asynchronous resolvers to prevent execution bottlenecks.
async-graphql is a type-safe framework for building specification-compliant GraphQL servers in Rust. It uses procedural macros to automatically generate schemas from native language structures, ensuring consistency between the data model and the API specification. The project provides native support for Apollo Federation v2, allowing entities and fields to be shared and resolved across multiple distributed subgraphs. It also implements real-time data streaming via WebSocket subscriptions and asynchronous event streams. The framework includes a wide array of capabilities for schema design, su
Implements parallel execution of GraphQL resolver functions to minimize latency when fetching data from external sources.