microsoft/FluidFramework
FluidFramework
FluidFramework ist ein Framework für Echtzeit-Zusammenarbeit und eine Engine zur Synchronisierung verteilter Zustände. Es bietet eine Bibliothek für kollaborative Datenmodelle und ein Cloud-synchronisiertes Dokumentensystem, das darauf ausgelegt ist, Datenstrukturen über verbundene Clients hinweg zu replizieren, wobei geordnete Operationen verwendet werden, um eine letztendliche Konsistenz sicherzustellen.
Das Framework nutzt eine Client-Server-Relay-Architektur, um Operationen weiterzuleiten und zu persistieren, ohne dass benutzerdefinierte serverseitige Geschäftslogik erforderlich ist. Es verwaltet den Lebenszyklus kollaborativer Sitzungen durch gemeinsam genutzte Datencontainer und implementiert Strategien zur Konfliktlösung, wie z. B. Last-Writer-Wins, neben optimistischen Update-Mechanismen, um eine reaktionsschnelle Benutzererfahrung aufrechtzuerhalten.
Die Funktionsbereiche umfassen die Synchronisierung hierarchischer Daten, Schlüssel-Wert-Paare und Echtzeit-Textbearbeitung. Das System enthält Mechanismen für die exklusive Aktionskoordination, Echtzeit-Zustandsabonnements für UI-Updates und ein integriertes Cloud-Dokumentenmanagement zur Speicherung von Anwendungsdaten auf Unternehmensplattformen.
Das Projekt enthält eine lokale Dienstsimulation für das Prototyping kollaborativer Funktionen, ohne dass ein Cloud-Deployment erforderlich ist.
Features
- Collaborative Data Structure Synchronization - Synchronizes complex shared data structures like arrays and maps across distributed clients using conflict-resolution logic.
- Collaborative Document Infrastructures - Provides infrastructure for managing the lifecycle and persistence of collaborative documents using relay services.
- Cloud Data Synchronization - Connects clients to managed cloud services to enable real-time collaboration on shared data models with scaling and security.
- Distributed Data Synchronization Systems - Uses distributed structures that automatically reflect modifications across all connected collaborators in real time.
- Distributed Shared Data Management - Manages and persists complex hierarchical data structures and key-value pairs across distributed collaborators.
- Distributed State Synchronization - Distributes and synchronizes application state across multiple clients using consistent distributed models.
- Synchronized Key-Value Maps - Synchronizes basic map data structures across clients using a last-writer-wins strategy to ensure state consistency.
- Session Encapsulations - Implements isolated data containers to manage the lifecycle and scope of collaborative sessions.
- Server-Side Editor State Persistence - Stores shared application state on general-purpose servers without requiring custom server-side logic.
- Collaborative Application SDKs - Provides SDKs for building multiplayer applications with real-time state synchronization and shared interfaces.
- Cloud Service Integrations - Facilitates the transmission of operations between distributed clients via integration with cloud-hosted or local relay services.
- Centralized Relay Architectures - Uses a central backend service to route and persist operations without requiring custom server-side business logic.
- Collaboration Session Connectivity - Enables clients to establish connections to existing collaborative sessions using unique identifiers.
- Collaborative Service Connections - Enables synchronization of state across distributed users by establishing connections to backend relay services.
- Operation-Based State Reconciliation - Broadcasts ordered data operations between clients and a relay service to ensure all participants converge on the same state.
- Shared Object Abstractions - Provides an abstraction layer over distributed data structures so developers interact with them like local JavaScript objects.
- Last-Write-Wins Semantics - Resolves concurrent updates to key-value pairs by prioritizing the operation with the most recent timestamp or sequence.
- Collaborative - Provides programmatic interfaces for initializing shared data containers with defined schemas.
- Shared Collaborative Data Types - Provides a library of shared collaborative data types, such as maps and arrays, for automatic convergence.
- Collaborative Session Containers - Groups isolated collaborative sessions into logical units that manage the lifecycle and schema of shared objects.
- Replicated State Machines - Replicates data across connected clients by broadcasting ordered operations to ensure all participants converge on the same state.
- Real-Time Collaborative Editing - Enables multiple users to edit text strings simultaneously using optimistic updates to ensure real-time synchronization.
- Real-Time Collaboration Tools - Provides a comprehensive framework for building distributed web applications with real-time state synchronization.
- Cloud Storage Integrations - Integrates with enterprise cloud storage platforms to manage and synchronize shared documents and session data.
- Action Coordination - Ensures single-user task execution or value changes by requiring acknowledgment from all connected clients for exclusive actions.
- Real-time Data Subscriptions - Provides a subscription mechanism for change events on shared objects to automatically update user interfaces during remote modifications.
- Cloud Service Simulators - Provides an in-memory local service to simulate cloud backend behavior for collaborative feature prototyping.
- Self-Hosted Collaboration Servers - Supports the deployment of server-side runtimes to synchronize shared state via cloud or self-managed services.
- Exclusive Action Coordination - Ensures single-user task execution or value changes by requiring acknowledgment from all connected clients.
- Distributed Object Interfaces - Organizes distributed data structures into shared objects to provide a consistent interface for developers.
- Optimistic Updates - Applies local changes to the state immediately and reconciles them later when the relay service confirms the operation order.
