跟踪在线状态与 presence
构建实时在线状态系统,显示谁处于在线状态,广播连接和断开事件,并呈现用户的实时状态。
跟踪在线状态与 presence 是 CoddyKit 上的免费 WebSockets & Real-Time Systems with Spring 课时。 这是第 4 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 WebSockets & Real-Time Systems with Spring 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 WebSockets & Real-Time Systems with Spring 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
What Is Presence?
Presence is knowing who is currently online: the green dots in chat apps, the live cursors in collaborative editors, the active-now lists. It is one of the most requested real-time features.
Presence Is About Lifecycle Events
The core insight: presence is derived from connection lifecycle. When a session opens, mark the user online; when it closes, mark them offline, then broadcast the change.
Listening to Connect Events
Spring publishes a SessionConnectedEvent when a STOMP session is established. Use it to record the user as online.
@EventListener
public void onConnect(SessionConnectedEvent e) {
String user = e.getUser().getName();
presence.markOnline(user);
broadcast(user, "ONLINE");
}Listening to Disconnect Events
A matching SessionDisconnectEvent fires on close. Mark the user offline and broadcast it.
@EventListener
public void onDisconnect(SessionDisconnectEvent e) {
String user = userFor(e.getSessionId());
presence.markOffline(user);
broadcast(user, "OFFLINE");
}Storing Presence State
For a single server a concurrent map works. For a cluster, store presence in Redis so every node sees the same online set.
redis.opsForSet().add("online:users", username);
redis.opsForValue().set("presence:" + username, "ONLINE", Duration.ofMinutes(2));Broadcasting Status Changes
Push each change to a presence topic so every interested client updates its UI live.
messagingTemplate.convertAndSend("/topic/presence",
new PresenceEvent(username, status));Multiple Tabs and Devices
A user with two tabs has two sessions. Reference-count them: only mark offline when the last session closes, or you will flicker the status.
Handling Ungraceful Disconnects
A crash may not send a clean close. Pair presence with heartbeats and a TTL: if no heartbeat arrives before the key expires, treat the user as offline.
Last-Seen Timestamps
Beyond online/offline, record a last-seen time on disconnect. The UI can then show "active 5 minutes ago" for offline users.
redis.opsForValue().set("lastseen:" + username, Instant.now().toString());Sending the Initial Snapshot
When a client first connects it needs the current online list, not just future changes. Send a snapshot on subscription, then stream deltas.
@SubscribeMapping("/presence.init")
public Set<String> initial() {
return presence.onlineUsers();
}Privacy Considerations
Presence can leak behavior patterns. Offer an invisible mode and respect it server-side, so a user who opts out is never broadcast as online.
Quick Check
Test your presence knowledge.
Recap
You built presence:
- Presence derives from connect/disconnect lifecycle events
- Use
SessionConnectedEvent/SessionDisconnectEventand broadcast changes - Store shared state in Redis for clustering; reference-count multiple sessions
- Pair with heartbeats and TTLs to catch ungraceful disconnects
- Send an initial snapshot, track last-seen, and honor invisible mode
常见问题解答
「跟踪在线状态与 presence」课时是免费的吗?
是的 — 「跟踪在线状态与 presence」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 WebSockets & Real-Time Systems with Spring 课程的其余内容,请升级到 CoddyKit PRO。 WebSockets & Real-Time Systems with Spring 课程共包含 4 节课。
「跟踪在线状态与 presence」这节课中我会学到什么?
构建实时在线状态系统,显示谁处于在线状态,广播连接和断开事件,并呈现用户的实时状态。 你通过在浏览器中直接运行的动手代码来练习 WebSockets & Real-Time Systems with Spring,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 WebSockets & Real-Time Systems with Spring 需要有经验吗?
无需任何先前经验。CoddyKit 上的 WebSockets & Real-Time Systems with Spring 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 4 节课,共 4 节。
「跟踪在线状态与 presence」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 WebSockets & Real-Time Systems with Spring 课中编写并运行代码吗?
能。每节 WebSockets & Real-Time Systems with Spring 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 服务器发送事件(SSE)与 WebSockets 对比
- 实时数据推送架构
- 实现用户通知
- 跟踪在线状态与 presence