使用 Go 和 WebSockets 建立即時協作平台
介紹
讓我們建立一個分散式即時協作平台,使多個用戶能夠同時協同工作。本專案將示範 Go 中的 WebSocket 處理、衝突解決和狀態同步。
專案概況:即時協作平台
核心特點
- 即時文件編輯
- 遊標位置同步
- 存在意識
- 營運轉型
- 解決衝突
- 聊天功能
技術實施
1.WebSocket伺服器
// WebSocket server implementation type CollaborationServer struct { sessions map[string]*Session documents map[string]*Document broadcast chan Message register chan *Client unregister chan *Client } type Client struct { id string session *Session conn *websocket.Conn send chan Message } type Message struct { Type MessageType `json:"type"` Payload interface{} `json:"payload"` } func NewCollaborationServer() *CollaborationServer { return &CollaborationServer{ sessions: make(map[string]*Session), documents: make(map[string]*Document), broadcast: make(chan Message), register: make(chan *Client), unregister: make(chan *Client), } } func (s *CollaborationServer) Run() { for { select { case client := <-s.register: s.handleRegister(client) case client := <-s.unregister: s.handleUnregister(client) case message := <-s.broadcast: s.handleBroadcast(message) } } } func (s *CollaborationServer) handleRegister(client *Client) { session := s.sessions[client.session.ID] if session == nil { session = &Session{ ID: client.session.ID, Clients: make(map[string]*Client), } s.sessions[session.ID] = session } session.Clients[client.id] = client }
2.營運轉型引擎
// Operational transformation implementation type Operation struct { Type OperationType Position int Content string ClientID string Revision int } type Document struct { ID string Content string History []Operation Revision int mu sync.RWMutex } func (d *Document) ApplyOperation(op Operation) error { d.mu.Lock() defer d.mu.Unlock() // Transform operation against concurrent operations transformedOp := d.transformOperation(op) // Apply the transformed operation switch transformedOp.Type { case OpInsert: d.insertContent(transformedOp.Position, transformedOp.Content) case OpDelete: d.deleteContent(transformedOp.Position, len(transformedOp.Content)) } // Update revision and history d.Revision++ d.History = append(d.History, transformedOp) return nil } func (d *Document) transformOperation(op Operation) Operation { transformed := op // Transform against all concurrent operations for _, historical := range d.History[op.Revision:] { transformed = transform(transformed, historical) } return transformed }
3. 呈現系統
// Real-time presence tracking type PresenceSystem struct { mu sync.RWMutex users map[string]*UserPresence updates chan PresenceUpdate } type UserPresence struct { UserID string Document string Cursor Position Selection Selection LastSeen time.Time } type Position struct { Line int Column int } type Selection struct { Start Position End Position } func (ps *PresenceSystem) UpdatePresence(update PresenceUpdate) { ps.mu.Lock() defer ps.mu.Unlock() user := ps.users[update.UserID] if user == nil { user = &UserPresence{UserID: update.UserID} ps.users[update.UserID] = user } user.Document = update.Document user.Cursor = update.Cursor user.Selection = update.Selection user.LastSeen = time.Now() // Broadcast update to other users ps.updates <- update } func (ps *PresenceSystem) StartCleanup() { ticker := time.NewTicker(30 * time.Second) go func() { for range ticker.C { ps.cleanupInactiveUsers() } }() }
4. 衝突解決
// Conflict resolution system type ConflictResolver struct { strategy ConflictStrategy } type ConflictStrategy interface { Resolve(a, b Operation) Operation } // Last-write-wins strategy type LastWriteWinsStrategy struct{} func (s *LastWriteWinsStrategy) Resolve(a, b Operation) Operation { if a.Timestamp.After(b.Timestamp) { return a } return b } // Three-way merge strategy type ThreeWayMergeStrategy struct{} func (s *ThreeWayMergeStrategy) Resolve(base, a, b Operation) Operation { // Implement three-way merge logic if a.Position == b.Position { if a.Type == OpDelete && b.Type == OpDelete { return a // Both deleted same content } if a.Timestamp.After(b.Timestamp) { return a } return b } // Non-overlapping changes if a.Position < b.Position { return combineOperations(a, b) } return combineOperations(b, a) }
5. 狀態同步
// State synchronization system type SyncManager struct { documents map[string]*DocumentState clients map[string]*ClientState } type DocumentState struct { Content string Version int64 Operations []Operation Checksum string } type ClientState struct { LastSync time.Time SyncVersion int64 } func (sm *SyncManager) SynchronizeState(clientID string, docID string) error { client := sm.clients[clientID] doc := sm.documents[docID] if client.SyncVersion == doc.Version { return nil // Already in sync } // Get operations since last sync ops := sm.getOperationsSince(docID, client.SyncVersion) // Apply operations to client state for _, op := range ops { if err := sm.applyOperation(clientID, op); err != nil { return fmt.Errorf("sync failed: %w", err) } } // Update client sync version client.SyncVersion = doc.Version client.LastSync = time.Now() return nil }
6. 聊天系統
// Real-time chat implementation type ChatSystem struct { rooms map[string]*ChatRoom history map[string][]ChatMessage } type ChatRoom struct { ID string Members map[string]*Client Messages chan ChatMessage } type ChatMessage struct { ID string RoomID string UserID string Content string Timestamp time.Time } func (cs *ChatSystem) SendMessage(msg ChatMessage) error { room := cs.rooms[msg.RoomID] if room == nil { return fmt.Errorf("room not found: %s", msg.RoomID) } // Store message in history cs.history[msg.RoomID] = append(cs.history[msg.RoomID], msg) // Broadcast to room members room.Messages <- msg return nil }
進階功能
1. 效能優化
- 訊息批次
- 運算壓縮
- 選擇性廣播
// Message batching implementation type MessageBatcher struct { messages []Message timeout time.Duration size int batch chan []Message } func (mb *MessageBatcher) Add(msg Message) { mb.messages = append(mb.messages, msg) if len(mb.messages) >= mb.size { mb.flush() } } func (mb *MessageBatcher) Start() { ticker := time.NewTicker(mb.timeout) go func() { for range ticker.C { mb.flush() } }() }
2. 擴展考慮因素
// Distributed coordination using Redis type DistributedCoordinator struct { client *redis.Client pubsub *redis.PubSub } func (dc *DistributedCoordinator) PublishUpdate(update Update) error { return dc.client.Publish(ctx, "updates", update).Err() } func (dc *DistributedCoordinator) SubscribeToUpdates() { sub := dc.client.Subscribe(ctx, "updates") for msg := range sub.Channel() { // Handle distributed update dc.handleUpdate(msg) } }
測試策略
1. 單元測試
func TestOperationalTransformation(t *testing.T) { doc := NewDocument("test") // Test concurrent inserts op1 := Operation{Type: OpInsert, Position: 0, Content: "Hello"} op2 := Operation{Type: OpInsert, Position: 0, Content: "World"} doc.ApplyOperation(op1) doc.ApplyOperation(op2) expected := "WorldHello" if doc.Content != expected { t.Errorf("expected %s, got %s", expected, doc.Content) } }
2. 整合測試
func TestRealTimeCollaboration(t *testing.T) { server := NewCollaborationServer() go server.Run() // Create test clients client1 := createTestClient() client2 := createTestClient() // Simulate concurrent editing go simulateEditing(client1) go simulateEditing(client2) // Verify final state time.Sleep(2 * time.Second) verifyDocumentState(t, server) }
部署架構
- 負載平衡器後面的多個伺服器執行個體
- Redis 用於發布/訂閱和狀態協調
- WebSocket 連線管理
- 監控與警報
結論
建構即時協作平台展示了複雜的分散式系統概念和即時資料同步。該專案展示了 Go 強大的並發特性和 WebSocket 處理能力。
其他資源
- WebSocket 協定 RFC
- 營運轉型
- Redis 發布/訂閱文件
分享您在下面的評論中建立即時協作系統的經驗!
標籤:#golang #websockets #realtime #collaboration #distributed-systems
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