14 repositorios
Centralized storage of remote information in flat structures to prevent duplication.
Distinguishing note: Focuses on the normalization strategy rather than general-purpose key-value storage.
Explore 14 awesome GitHub repositories matching data & databases · Normalized Data Caching. Refine with filters or upvote what's useful.
Apollo Client is a GraphQL client library and data fetching framework used to request data from a GraphQL server and synchronize that state within a frontend application. It functions as a remote state manager and a local state management tool, allowing developers to define client-side schemas and resolvers for data that does not reside on a remote server. The project features a normalized GraphQL cache that identifies objects by ID to ensure referential equality and consistent data updates across different queries. It also includes a GraphQL API mocking tool to simulate server responses and
Implements a normalized cache that identifies objects by ID to ensure referential equality across different queries.
Apollo Client is a frontend GraphQL integration layer and client library used to fetch, manage, and cache data from a GraphQL server in web and mobile applications. It functions as a state management framework that synchronizes remote server data with local application state. The project provides a TypeScript wrapper for executing GraphQL queries and mutations, ensuring type-safe API integration with automatic validation and code completion. The library manages data fetching and synchronization between the backend and the user interface. It includes capabilities for caching GraphQL results l
Provides a normalized cache that flattens nested GraphQL responses to prevent data duplication.
Relay is a GraphQL client framework and state manager used for building data-driven applications. It functions as a declarative data fetching layer and a GraphQL compiler that transforms declarations into optimized runtime code with automatic type generation. The framework distinguishes itself through a build-time compilation process that generates optimized queries and a data masking system that prevents components from accessing undeclared data. It employs a normalized client-side cache to maintain consistency across entities and an optimistic update mechanism to provide immediate interface
Stores data in a flat map by unique identifiers to maintain consistency across different components sharing the same entity.
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
Replaces literal field arguments with synthetic variables to create a canonical query shape for execution caching.
urql is a GraphQL client library designed for fetching and managing data from a GraphQL API. It provides a system for handling GraphQL data fetching, state management, and integration with React components. The library is distinguished by a middleware pipeline architecture that allows the request-response flow to be modified through swappable exchanges. This enables the customization of the data layer, including the addition of custom business logic, request deduplication, and specialized fetching behaviors. The project covers a broad range of capabilities, including normalized caching to en
Ships a normalized cache that flattens nested GraphQL responses to ensure data consistency across the application.
urql is a GraphQL client and data management tool used to execute GraphQL operations and synchronize data from remote servers within a software application. It functions as a mechanism for fetching, caching, and managing GraphQL data to maintain state across application views. The project features a pluggable middleware architecture and a normalized GraphQL cache. This allows for the insertion of custom logic into the request and response lifecycle to modify client behavior and the organization of responses by unique identifiers to ensure data consistency. The client provides capabilities fo
Provides a normalized cache that stores GraphQL data by unique identifiers to maintain consistency across views.
React Apollo is a React-specific GraphQL data fetching library that binds Apollo Client to components through declarative hooks for queries, mutations, and subscriptions. It provides a declarative approach to GraphQL query execution where components declare their data requirements and automatically receive loading, error, and data states without managing request lifecycle code. The library distinguishes itself through a normalized cache layer that deduplicates entities and serves repeated requests without network calls, combined with incremental result streaming via the @defer directive for
Ships a normalized client-side cache that deduplicates GraphQL entities and serves repeated requests without network calls.
Pixie is an open-source observability platform for Kubernetes that uses eBPF to automatically capture telemetry data from clusters without requiring any manual instrumentation or code changes. It functions as an eBPF telemetry collector, a continuous application profiler, a network traffic analyzer, and a scriptable telemetry query engine, all within a single Kubernetes-native tool. The platform distinguishes itself through several integrated capabilities. It continuously samples stack traces from compiled-language code to identify CPU performance bottlenecks, visualizing the results as inter
Groups similar SQL queries by replacing constants with placeholders to analyze performance per query pattern.
Vue Apollo is a GraphQL integration library for Vue applications that connects Vue components to GraphQL APIs using Apollo Client. It provides a reactive data layer for querying, mutating, and subscribing to data from GraphQL endpoints, with automatic cache updates and real-time subscription support. The library offers multiple API surfaces for working with GraphQL data, including slot-based declarative components, composable functions for the Composition API, and Options API integration. It handles the full lifecycle of GraphQL operations, from automatic data fetching with reactive queries t
Stores normalized GraphQL data in a client-side cache that automatically updates when queries or mutations return new results.
Este proyecto es un recurso de aprendizaje interactivo y tutorial para implementar el cliente Apollo GraphQL. Proporciona una experiencia instructiva guiada para enseñar la gestión de datos en el frontend, centrándose específicamente en cómo conectar aplicaciones web a fuentes de datos GraphQL. La plataforma utiliza una ruta secuenciada de lecciones prácticas y recorridos de código interactivos. Estos módulos combinan texto instructivo con bloques de código ejecutables para demostrar el comportamiento de la API en tiempo real y la integración de GraphQL en frameworks de frontend. El plan de estudios cubre el uso de consultas declarativas y la obtención de datos basada en esquemas para gestionar datos remotos. También incluye instrucciones sobre la utilización de almacenamiento en caché normalizado para la gestión del estado del lado del cliente y la sincronización.
Teaches how to use normalized caches to ensure referential consistency across different views in the UI.
Varnish Cache es un caché de proxy inverso HTTP, gestor de tráfico y herramienta de entrega de contenido en el borde (edge). Funciona como un acelerador HTTP que almacena respuestas en memoria para reducir la carga del backend y mejorar la velocidad de entrega. El sistema también sirve como proxy de terminación TLS y un motor de configuración que utiliza un lenguaje compilado para definir la lógica de manejo de peticiones y almacenamiento en caché. El proyecto se distingue por su lenguaje de configuración compilado, que transforma la lógica de dominio especializada en código máquina para ejecutar el procesamiento de peticiones a velocidad de línea. Proporciona almacenamiento centrado en memoria de alto rendimiento y gestión de caché especializada, como la invalidación por clave sustituta para la purga dirigida de objetos relacionados. La plataforma cubre una amplia gama de capacidades de gestión y optimización del tráfico, incluyendo enrutamiento dinámico de backend, limitación de tasa de peticiones y aislamiento de salud del backend. Admite la normalización de contenido para cadenas de consulta de URL y cabeceras, así como características de seguridad como el cálculo de firmas HMAC. El software admite el despliegue nativo en la nube a través de imágenes de contenedor y gráficos Helm de Kubernetes.
Improves cache hit rates by filtering, sorting, and removing redundant query parameters from incoming URLs.
apollo-ios is a GraphQL client library for iOS and Apple platforms that enables type-safe network communication. It transforms GraphQL operations into generated Swift models, ensuring that network responses are validated at compile time to eliminate manual mapping. The library features a normalized cache manager that stores entities in a flat structure to maintain data consistency across different application views. It also optimizes network performance using hash-based persisted queries to reduce payload sizes and supports real-time data streaming via WebSockets or HTTP subscriptions. The p
Implements a client-side cache that normalizes GraphQL results by unique identifiers to ensure data consistency.
Apollo Kotlin is a strongly-typed GraphQL client and code generation library designed for Kotlin and JVM applications. It functions as a comprehensive development tool that transforms GraphQL schema definitions and query documents into type-safe models during the build process, ensuring that data access errors are identified at compile time rather than at runtime. The project distinguishes itself through its multiplatform runtime abstraction, which allows developers to share data fetching and caching logic across Android, iOS, and desktop environments. It provides a normalized local caching s
Centralizes remote information in flat structures to ensure consistent data updates across the application.
This project is a client-side data management library and query orchestrator designed to synchronize remote server state with local client state. It functions as a type-safe state manager and cache orchestrator that coordinates data loading across diverse backends, including REST, GraphQL, and WebSockets. The system distinguishes itself through a durable workflow engine for executing asynchronous functions with persisted state and deterministic replay. It also provides a standardized AI integration adapter to connect large language models to application data, supporting real-time response str
Stores API data in normalized in-memory collections to maintain coherence across the application.