2 个仓库
Mechanisms for directing data requests to different storage sources based on availability or runtime logic.
Distinct from Data Sources: Focuses on the routing logic between memory, disk, and cloud, rather than just providing the data source itself.
Explore 2 awesome GitHub repositories matching data & databases · Data Source Routing. Refine with filters or upvote what's useful.
该项目是一个参考 Kotlin Android 应用程序模板和一组演示整洁架构(Clean Architecture)原则的示例实现。它提供了一种结构设计,将核心业务规则与用户界面和数据源隔离到不同的分层模块中。 该实现专注于模型-视图-视图模型(MVVM)模式,以解耦 UI 逻辑与数据模型。它利用依赖注入框架来自动化对象创建并管理组件生命周期,同时采用仓库模式(Repository Pattern)来抽象跨内存、磁盘和云源的数据请求。 该架构结合了基于功能的包组织和模块化构建配置,以保持整个项目的一致性。它还包括一个全面的测试策略,结合了针对业务逻辑的单元测试、针对 UI 的仪器测试以及用于数据层验证的模拟模块。
Provides a repository implementation that routes data requests between memory, disk, or cloud sources based on availability.
This project is a clean architecture reference implementation and modular project template for Android development. It provides a structural blueprint designed to isolate business logic from external frameworks and user interfaces. The template emphasizes a modular approach to organize code into independent modules, which is intended to improve build times and long-term project scalability. It demonstrates the application of domain-driven design to keep core business rules and entities independent from the underlying platform. The implementation covers several key architectural patterns, inc
Coordinates data retrieval between remote APIs and local caches through a single access point.