基于C#实现即时通讯工具
一、系统架构设计
1. 整体架构
graph TD
A[客户端] -->|TCP/WebSocket| B[通信网关]
B --> C[业务逻辑层]
C --> D[消息队列]
C --> E[用户服务]
C --> F[群组服务]
D --> G[(Redis)]
E --> H[(SQL Server)]
F --> H
2. 技术选型
| 模块 | 技术方案 | 说明 |
|---|---|---|
| 通信协议 | TCP+自定义二进制协议 | 高效可靠,支持流式传输 |
| 网络层 | System.Net.Sockets + Async/Await | 异步非阻塞IO模型 |
| 消息队列 | Redis Pub/Sub | 解耦消息生产消费 |
| 数据库 | SQL Server + Entity Framework | 用户数据持久化 |
| 推送服务 | SignalR | 实时消息推送 |
| 文件传输 | chunked transfer + 断点续传 | 支持大文件传输 |
二、核心模块实现
1. 通信网关(TCP服务端)
public class TcpGateway
{
private TcpListener _listener;
private ConcurrentDictionary<string, Socket> _clients = new();
public async Task StartAsync(string ip, int port)
{
_listener = new TcpListener(IPAddress.Parse(ip), port);
await _listener.StartAsync();
while (true)
{
var client = await _listener.AcceptTcpClientAsync();
_ = HandleClientAsync(client);
}
}
private async Task HandleClientAsync(TcpClient client)
{
using (client)
{
var stream = client.GetStream();
var buffer = new byte[1024 * 4];
while (client.Connected)
{
int bytesRead = await stream.ReadAsync(buffer, 0, buffer.Length);
if (bytesRead == 0) break;
var msg = MessageParser.Decode(buffer, bytesRead);
await MessageDispatcher.Dispatch(msg);
}
}
}
}
2. 消息协议设计
public class MessageProtocol
{
public ushort Magic { get; set; } = 0xA55A;
public byte Version { get; set; }
public MessageType Type { get; set; }
public int BodyLength { get; set; }
public byte[] Body { get; set; }
}
public enum MessageType
{
Login = 1,
Text = 2,
File = 3,
Heartbeat = 4
}
3. 消息处理中心
public static class MessageDispatcher
{
public static async Task Dispatch(MessageProtocol msg)
{
switch (msg.Type)
{
case MessageType.Login:
await AuthService.Authenticate(msg.Body);
break;
case MessageType.Text:
await ChatService.SendMessage(msg);
break;
case MessageType.File:
await FileService.Upload(msg);
break;
case MessageType.Heartbeat:
HeartbeatManager.KeepAlive(msg.SessionId);
break;
}
}
}
三、关键技术实现
1. 高并发处理
// 使用线程池优化资源
ThreadPool.SetMinThreads(50, 50);
// 异步处理消息
public async Task ProcessMessageAsync(Socket socket)
{
var buffer = new byte[1024 * 10];
while (true)
{
int bytesRead = await socket.ReceiveAsync(
new ArraySegment<byte>(buffer),
SocketFlags.None);
if (bytesRead == 0) break;
_ = Task.Run(() => HandleData(buffer, bytesRead));
}
}
2. 消息持久化
public class ChatRepository
{
private readonly DbContext _context;
public async Task SaveMessage(ChatMessage message)
{
_context.Messages.Add(message);
await _context.SaveChangesAsync();
// 写入Redis消息队列
await Redis.PublishAsync("chat_messages", message);
}
}
3. 文件传输
public class FileTransferService
{
public async Task SendFile(string filePath, Socket client)
{
using (var fileStream = File.OpenRead(filePath))
{
var buffer = new byte[1024 * 1024]; // 1MB分块
int bytesRead;
while ((bytesRead = await fileStream.ReadAsync(buffer, 0, buffer.Length)) > 0)
{
await client.SendAsync(
new ArraySegment<byte>(buffer, 0, bytesRead),
SocketFlags.None);
}
}
}
}
四、安全机制
1. 通信加密
public class SecurityManager
{
private readonly SslStream _sslStream;
public async Task EstablishSecureConnectionAsync(Socket socket)
{
_sslStream = new SslStream(socket.GetStream(), false);
await _sslStream.AuthenticateAsServerAsync(serverCertificate);
}
public byte[] EncryptData(byte[] data)
{
return _sslStream.Encrypt(data);
}
}
2. 心跳机制
public class HeartbeatMonitor
{
private readonly ConcurrentDictionary<string, DateTime> _sessions = new();
public void UpdateHeartbeat(string sessionId)
{
_sessions[sessionId] = DateTime.Now;
}
public bool CheckTimeout(string sessionId, int timeoutSeconds = 30)
{
return (DateTime.Now - _sessions[sessionId]).TotalSeconds > timeoutSeconds;
}
}
五、扩展功能实现
1. 群组管理
public class GroupService
{
public async Task CreateGroup(string groupName, List<string> members)
{
var groupId = Guid.NewGuid().ToString();
await _redis.HashSetAsync($"group:{groupId}",
new HashEntry[] {
new("name", groupName),
new("members", string.Join(",", members))
});
}
}
2. 消息撤回
public class MessageService
{
public async Task RecallMessage(string msgId)
{
var msg = await _redis.GetAsync<Message>($"msg:{msgId}");
if (msg != null && msg.Timestamp > DateTime.Now.AddMinutes(-2))
{
await _redis.PublishAsync("recall_message", msgId);
}
}
}
参考代码 c#即时通讯工具 www.youwenfan.com/contentcnp/112225.html
六、部署方案
| 组件 | 部署方式 | 推荐配置 |
|---|---|---|
| 通信网关 | Docker容器化 | 4核8G,Kestrel并发5000+ |
| Redis | 集群模式 | 3主3从,持久化AOF |
| 数据库 | 主从复制 | 16核32G,SSD RAID10 |
| 文件存储 | MinIO分布式集群 | 4节点,10Gbps内网带宽 |
七、测试方案
-
压力测试
# 使用wrk进行压力测试 wrk -t12 -c400 -d30s http://localhost:5000/api/chat -
监控指标
public class PerformanceMetrics { public long MessagesSent { get; set; } public long MessagesReceived { get; set; } public double CPUUsage { get; set; } public double MemoryUsage { get; set; } }

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