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社区首页 >专栏 >股票实时行情和高效处理实时行情数据流 - java技术实现详解

股票实时行情和高效处理实时行情数据流 - java技术实现详解

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FxStock Lab
发布2025-10-22 20:47:18
发布2025-10-22 20:47:18
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在量化交易和金融数据分析领域,股票行情 API港美股报价 API港美股数据 API和处理股票行情数据是核心需求之一。与传统轮询方式相比,WebSocket 技术提供了真正的实时数据推送能力,大大降低了延迟。 目前市面上有多种股票行情数据接口,包括免费和付费的,如聚宽、Tushare、iTick 等。本文将以 iTick API 为例,介绍如何使用 Java 通过 WebSocket 协议订阅股票实时行情数据

股票实时行情
股票实时行情

一、环境准备与依赖配置

首先,我们需要在项目中添加 WebSocket 客户端依赖。推荐使用 Java-WebSocket 库:

代码语言:xml
复制
<dependencies>
    <!-- WebSocket 客户端 -->
    <dependency>
        <groupId>org.java-websocket</groupId>
        <artifactId>Java-WebSocket</artifactId>
        <version>1.5.3</version>
    </dependency>

    <!-- JSON 处理 -->
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-core</artifactId>
        <version>2.15.2</version>
    </dependency>
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-databind</artifactId>
        <version>2.15.2</version>
    </dependency>

    <!-- 日志框架 -->
    <dependency>
        <groupId>org.slf4j</groupId>
        <artifactId>slf4j-api</artifactId>
        <version>2.0.7</version>
    </dependency>
    <dependency>
        <groupId>ch.qos.logback</groupId>
        <artifactId>logback-classic</artifactId>
        <version>1.4.8</version>
    </dependency>
</dependencies>

二、WebSocket 接入实现

2.1 基础配置类

代码语言:java
复制
import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.Data;

/**
 * iTick 配置类
 */
@Data
public class ITickConfig {
    @JsonProperty("websocket_url")
    private String websocketUrl = "wss://api.itick.org/stock";
    // 通过官网:https://itick.org 获取免费试用 API KEY
    @JsonProperty("api_key")
    private String apiKey = "YOUR_API_KEY";

    @JsonProperty("reconnect_interval")
    private int reconnectInterval = 5000;

    @JsonProperty("heartbeat_interval")
    private int heartbeatInterval = 30000;
}

2.2 股票行情数据模型

代码语言:java
复制
import com.fasterxml.jackson.annotation.JsonProperty;
import lombok.Data;

import java.math.BigDecimal;
import java.time.LocalDateTime;

/**
 * 股票实时行情数据模型
 */
@Data
public class StockQuote {
    @JsonProperty("symbol")
    private String symbol;           // 股票代码

    @JsonProperty("volume")
    private Long volume;             // 成交量

    @JsonProperty("open")
    private BigDecimal open;         // 开盘价

    @JsonProperty("high")
    private BigDecimal high;         // 最高价

    @JsonProperty("low")
    private BigDecimal low;          // 最低价

    @JsonProperty("close")
    private BigDecimal preClose;     // 前收盘价

    @JsonProperty("timestamp")
    private LocalDateTime timestamp; // 时间戳
}

2.3 WebSocket 客户端实现

代码语言:java
复制
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import lombok.extern.slf4j.Slf4j;
import org.java_websocket.client.WebSocketClient;
import org.java_websocket.drafts.Draft;
import org.java_websocket.handshake.ServerHandshake;

import java.net.URI;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;

/**
 * iTick WebSocket 客户端
 */
@Slf4j
public class ITickWebSocketClient extends WebSocketClient {

    private final ITickConfig config;
    private final ObjectMapper objectMapper;
    private final Map<String, QuoteListener> listeners;
    private final ScheduledExecutorService scheduler;
    private volatile boolean authenticated = false;

    public ITickWebSocketClient(URI serverUri, Draft draft, ITickConfig config) {
        super(serverUri, draft);
        this.config = config;
        this.objectMapper = new ObjectMapper();
        this.listeners = new ConcurrentHashMap<>();
        this.scheduler = Executors.newSingleThreadScheduledExecutor();
    }

    public ITickWebSocketClient(URI serverUri, ITickConfig config) {
        super(serverUri);
        this.config = config;
        this.objectMapper = new ObjectMapper();
        this.listeners = new ConcurrentHashMap<>();
        this.scheduler = Executors.newSingleThreadScheduledExecutor();
    }

    @Override
    public void onOpen(ServerHandshake handshake) {
        log.info("WebSocket 连接已建立,状态: {}", handshake.getHttpStatus());

        // 发送认证消息
        authenticate();

        // 启动心跳
        startHeartbeat();
    }

    @Override
    public void onMessage(String message) {
        try {
            log.debug("收到消息: {}", message);

            // 解析消息类型
            Map<String, Object> msgMap = objectMapper.readValue(message, Map.class);
            String type = (String) msgMap.get("resAc");

            switch (type) {
                case "auth":
                    handleAuthResponse(msgMap);
                    break;
                case "quote":
                    handleQuoteMessage(msgMap);
                    break;
                case "subscribe":
                    handleSubscriptionResponse(msgMap);
                    break;
                default:
                    log.warn("未知消息类型: {}", type);
            }
        } catch (Exception e) {
            log.error("消息处理异常: {}", e.getMessage(), e);
        }
    }

    @Override
    public void onClose(int code, String reason, boolean remote) {
        log.warn("WebSocket 连接关闭,代码: {}, 原因: {}, 远程: {}", code, reason, remote);
        this.authenticated = false;

        // 尝试重连
        if (remote) {
            scheduleReconnect();
        }
    }

    @Override
    public void onError(Exception ex) {
        log.error("WebSocket 错误: {}", ex.getMessage(), ex);
    }

    /**
     * 发送认证消息
     */
    private void authenticate() {
        try {
            Map<String, Object> authMsg = new HashMap<>();
            authMsg.put("ac", "auth");
            authMsg.put("params", config.getApiKey());
            String authJson = objectMapper.writeValueAsString(authMsg);
            send(authJson);
            log.info("认证消息已发送");
        } catch (JsonProcessingException e) {
            log.error("认证消息序列化失败: {}", e.getMessage(), e);
        }
    }

    /**
     * 处理认证响应
     */
    private void handleAuthResponse(Map<String, Object> response) {
        Number code = (Number) response.get("code");
        if (code.intValue() == 1) {
            this.authenticated = true;
            log.info("认证成功")
        } else {
            String error = (String) response.get("error");
             log.error("认证失败: {}", error);
        }
    }

    /**
     * 启动心跳
     */
    private void startHeartbeat() {
        scheduler.scheduleAtFixedRate(() -> {
            if (isOpen()) {
                try {
                    Map<String, Object> pingMsg = new HashMap<>();
                    pingMsg.put("ac", "ping");
                    pingMsg.put("params", System.currentTimeMillis());

                    String pingJson = objectMapper.writeValueAsString(pingMsg);
                    send(pingJson);
                    log.debug("心跳消息已发送");
                } catch (Exception e) {
                    log.error("心跳发送失败: {}", e.getMessage());
                }
            }
        }, 0, config.getHeartbeatInterval(), TimeUnit.MILLISECONDS);
    }

    /**
     * 处理行情消息
     */
    private void handleQuoteMessage(Map<String, Object> message) {
        try {
            String dataJson = objectMapper.writeValueAsString(message.get("data"));
            StockQuote quote = objectMapper.readValue(dataJson, StockQuote.class);

            // 通知所有监听器
            notifyListeners(quote);
        } catch (JsonProcessingException e) {
            log.error("行情消息解析失败: {}", e.getMessage(), e);
        }
    }

    /**
     * 处理订阅响应
     */
    private void handleSubscriptionResponse(Map<String, Object> response) {
        Number code = (Number) response.get("code");
      if (code.intValue() == 1) {
           log.info("订阅成功: {}");
        } else {
            String error = (String) response.get("error");
              log.error("订阅失败 {}: {}", error);
        }
    }

    /**
     * 安排重连
     */
    private void scheduleReconnect() {
        log.info("{}ms 后尝试重连...", config.getReconnectInterval());
        scheduler.schedule(() -> {
            if (!isOpen()) {
                log.info("开始重连...");
                reconnect();
            }
        }, config.getReconnectInterval(), TimeUnit.MILLISECONDS);
    }

    /**
     * 订阅股票行情
     */
    public void subscribe(String symbol, QuoteListener listener) {
        if (!authenticated) {
            log.warn("未认证,无法订阅");
            return;
        }

        try {
            listeners.put(symbol, listener);

            Map<String, Object> subMsg = new HashMap<>();
            subMsg.put("types", "quote");
            subMsg.put("params", symbol);

            String subJson = objectMapper.writeValueAsString(subMsg);
            send(subJson);
            log.info("订阅请求已发送: {}", symbol);
        } catch (JsonProcessingException e) {
            log.error("订阅消息序列化失败: {}", e.getMessage(), e);
        }
    }


    /**
     * 通知监听器
     */
    private void notifyListeners(StockQuote quote) {
        QuoteListener listener = listeners.get(quote.getSymbol());
        if (listener != null) {
            try {
                listener.onQuote(quote);
            } catch (Exception e) {
                log.error("监听器处理异常: {}", e.getMessage(), e);
            }
        }
    }

    /**
     * 关闭客户端
     */
    public void shutdown() {
        scheduler.shutdown();
        close();
    }

    /**
     * 行情监听器接口
     */
    public interface QuoteListener {
        void onQuote(StockQuote quote);
    }
}

三、高效处理实时数据流

3.1 数据流处理器

代码语言:java
复制
import lombok.extern.slf4j.Slf4j;

import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;

/**
 * 实时数据流处理器
 */
@Slf4j
public class RealTimeDataProcessor implements ITickWebSocketClient.QuoteListener {

    private final BlockingQueue<StockQuote> dataQueue;
    private final AtomicLong processedCount;
    private final DataHandler dataHandler;
    private volatile boolean running = false;
    private Thread processorThread;

    public RealTimeDataProcessor(DataHandler dataHandler, int queueCapacity) {
        this.dataQueue = new LinkedBlockingQueue<>(queueCapacity);
        this.processedCount = new AtomicLong(0);
        this.dataHandler = dataHandler;
    }

    public void start() {
        if (running) {
            return;
        }

        running = true;
        processorThread = new Thread(this::processData, "DataProcessor");
        processorThread.start();
        log.info("数据处理器已启动");
    }

    public void stop() {
        running = false;
        if (processorThread != null) {
            processorThread.interrupt();
            try {
                processorThread.join(5000);
            } catch (InterruptedException e) {
                log.warn("处理器线程停止等待被中断");
            }
        }
        log.info("数据处理器已停止,总共处理 {} 条数据", processedCount.get());
    }

    @Override
    public void onQuote(StockQuote quote) {
        if (!running) {
            log.warn("处理器未运行,丢弃数据: {}", quote.getSymbol());
            return;
        }

        boolean offered = dataQueue.offer(quote);
        if (!offered) {
            log.warn("数据队列已满,丢弃行情数据: {}", quote.getSymbol());
            // 可以在这里实现背压策略或数据采样
        }
    }

    private void processData() {
        while (running && !Thread.currentThread().isInterrupted()) {
            try {
                StockQuote quote = dataQueue.poll(100, TimeUnit.MILLISECONDS);
                if (quote != null) {
                    processSingleQuote(quote);
                    processedCount.incrementAndGet();
                }

                // 批量处理的机会
                processBatchIfNeeded();

            } catch (InterruptedException e) {
                log.info("数据处理器被中断");
                Thread.currentThread().interrupt();
                break;
            } catch (Exception e) {
                log.error("数据处理异常: {}", e.getMessage(), e);
            }
        }
    }

    private void processSingleQuote(StockQuote quote) {
        try {
            dataHandler.handleQuote(quote);
        } catch (Exception e) {
            log.error("处理单个行情数据异常: {}", e.getMessage(), e);
        }
    }

    private void processBatchIfNeeded() {
        // 如果队列中有大量数据,可以进行批量处理
        if (dataQueue.size() > 1000) {
            log.info("检测到数据积压,当前队列大小: {}", dataQueue.size());
            // 实现批量处理逻辑
            processBatch();
        }
    }

    private void processBatch() {
        // 批量处理实现
        int batchSize = Math.min(dataQueue.size(), 100);
        for (int i = 0; i < batchSize; i++) {
            StockQuote quote = dataQueue.poll();
            if (quote != null) {
                try {
                    dataHandler.handleQuote(quote);
                } catch (Exception e) {
                    log.error("批量处理异常: {}", e.getMessage(), e);
                }
            }
        }
    }

    public long getProcessedCount() {
        return processedCount.get();
    }

    public int getQueueSize() {
        return dataQueue.size();
    }

    /**
     * 数据处理器接口
     */
    public interface DataHandler {
        void handleQuote(StockQuote quote);
    }
}

3.2 数据存储处理器

代码语言:java
复制
import lombok.extern.slf4j.Slf4j;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.TimeUnit;

/**
 * 数据存储处理器 - 支持批量插入
 */
@Slf4j
public class DatabaseStorageHandler implements RealTimeDataProcessor.DataHandler {

    private final String jdbcUrl;
    private final String username;
    private final String password;
    private final BlockingQueue<StockQuote> batchQueue;
    private final int batchSize;
    private volatile boolean running = false;
    private Thread batchProcessorThread;

    public DatabaseStorageHandler(String jdbcUrl, String username, String password, int batchSize) {
        this.jdbcUrl = jdbcUrl;
        this.username = username;
        this.password = password;
        this.batchSize = batchSize;
        this.batchQueue = new LinkedBlockingQueue<>(batchSize * 2);
    }

    public void start() {
        if (running) {
            return;
        }

        running = true;
        batchProcessorThread = new Thread(this::processBatch, "BatchStorageProcessor");
        batchProcessorThread.start();
        log.info("数据库存储处理器已启动");
    }

    public void stop() {
        running = false;
        if (batchProcessorThread != null) {
            batchProcessorThread.interrupt();
            try {
                batchProcessorThread.join(10000);
            } catch (InterruptedException e) {
                log.warn("批量处理器线程停止等待被中断");
            }
        }

        // 处理剩余数据
        processRemainingData();
        log.info("数据库存储处理器已停止");
    }

    @Override
    public void handleQuote(StockQuote quote) {
        if (!running) {
            return;
        }

        try {
            boolean offered = batchQueue.offer(quote, 100, TimeUnit.MILLISECONDS);
            if (!offered) {
                log.warn("批量队列已满,直接插入单条数据");
                insertSingleQuote(quote);
            }
        } catch (InterruptedException e) {
            log.warn("数据入队被中断");
            Thread.currentThread().interrupt();
        }
    }

    private void processBatch() {
        while (running && !Thread.currentThread().isInterrupted()) {
            try {
                if (batchQueue.size() >= batchSize) {
                    insertBatch();
                } else {
                    TimeUnit.MILLISECONDS.sleep(100);
                }
            } catch (InterruptedException e) {
                log.info("批量处理器被中断");
                Thread.currentThread().interrupt();
                break;
            } catch (Exception e) {
                log.error("批量处理异常: {}", e.getMessage(), e);
            }
        }
    }

    private void insertBatch() {
        if (batchQueue.isEmpty()) {
            return;
        }

        String sql = "INSERT INTO stock_quotes (symbol, volume, open, high, low, close, timestamp) " +
                    "VALUES (?, ?, ?, ?, ?, ?, ?)";

        try (Connection connection = DriverManager.getConnection(jdbcUrl, username, password);
             PreparedStatement statement = connection.prepareStatement(sql)) {

            connection.setAutoCommit(false);
            int count = 0;

            while (count < batchSize && !batchQueue.isEmpty()) {
                StockQuote quote = batchQueue.poll();
                if (quote != null) {
                    setStatementParameters(statement, quote);
                    statement.addBatch();
                    count++;
                }
            }

            int[] results = statement.executeBatch();
            connection.commit();

            log.debug("批量插入完成,插入 {} 条数据", count);

        } catch (SQLException e) {
            log.error("批量插入数据库异常: {}", e.getMessage(), e);
            // 可以考虑将失败的数据重新放回队列
        }
    }

    private void insertSingleQuote(StockQuote quote) {
        String sql = "INSERT INTO stock_quotes (symbol, volume, open, high, low, close, timestamp) " +
                    "VALUES (?, ?, ?, ?, ?, ?, ?)";
        try (Connection connection = DriverManager.getConnection(jdbcUrl, username, password);
             PreparedStatement statement = connection.prepareStatement(sql)) {

            setStatementParameters(statement, quote);
            statement.executeUpdate();

        } catch (SQLException e) {
            log.error("单条插入数据库异常: {}", e.getMessage(), e);
        }
    }

    private void setStatementParameters(PreparedStatement statement, StockQuote quote) throws SQLException {
        statement.setString(1, quote.getSymbol());
        statement.setLong(5, quote.getVolume());
        statement.setBigDecimal(7, quote.getOpen());
        statement.setBigDecimal(8, quote.getHigh());
        statement.setBigDecimal(9, quote.getLow());
        statement.setBigDecimal(10, quote.getClose());
        statement.setObject(15, quote.getTimestamp());
    }

    private void processRemainingData() {
        log.info("处理剩余数据,队列大小: {}", batchQueue.size());
        while (!batchQueue.isEmpty()) {
            insertBatch();
        }
    }
}

四、完整使用示例

4.1 应用主程序

代码语言:java
复制
import lombok.extern.slf4j.Slf4j;

import java.net.URI;
import java.util.concurrent.CountDownLatch;

/**
 * 股票实时行情应用示例
 */
@Slf4j
public class StockRealtimeApplication {

    public static void main(String[] args) {
        // 配置
        ITickConfig config = new ITickConfig();
        // 创建 WebSocket 客户端
        ITickWebSocketClient client = new ITickWebSocketClient(
            URI.create(config.getWebsocketUrl()), config);

        // 创建数据处理器
        RealTimeDataProcessor dataProcessor = new RealTimeDataProcessor(
            new ConsoleDataHandler(), 10000);

        // 创建数据库存储处理器(可选)
        DatabaseStorageHandler dbHandler = new DatabaseStorageHandler(
            "jdbc:mysql://localhost:3306/stock_data", "username", "password", 100);

        RealTimeDataProcessor dbProcessor = new RealTimeDataProcessor(dbHandler, 5000);

        try {
            // 启动处理器
            dataProcessor.start();
            dbProcessor.start();
            dbHandler.start();

            // 添加监听器
            client.addListener(dataProcessor);
            client.addListener(dbProcessor);

            // 连接 WebSocket
            client.connect();

            // 等待连接建立
            Thread.sleep(2000);

            // 订阅股票
            String[] symbols = {"AAPL$US", "GOOGL$US", "MSFT$US", "TSLA$US", "AMZN$US"};
            for (String symbol : symbols) {
                client.subscribe(symbol, dataProcessor);
                Thread.sleep(100); // 避免请求过于频繁
            }

            log.info("应用启动完成,开始接收实时行情数据");

            // 保持程序运行
            CountDownLatch latch = new CountDownLatch(1);
            Runtime.getRuntime().addShutdownHook(new Thread(() -> {
                log.info("收到关闭信号,开始清理资源...");
                client.shutdown();
                dataProcessor.stop();
                dbProcessor.stop();
                dbHandler.stop();
                latch.countDown();
            }));

            latch.await();

        } catch (Exception e) {
            log.error("应用运行异常: {}", e.getMessage(), e);
        } finally {
            client.shutdown();
            dataProcessor.stop();
            dbProcessor.stop();
            dbHandler.stop();
        }
    }

    /**
     * 控制台数据处理器示例
     */
    static class ConsoleDataHandler implements RealTimeDataProcessor.DataHandler {
        private long count = 0;

        @Override
        public void handleQuote(StockQuote quote) {
            count++;
            if (count % 100 == 0) {
                log.info("已处理 {} 条行情数据, 最新: {} - {}", count, quote.getSymbol(), quote.getPrice());
            }

            // 在这里可以添加业务逻辑,如:
            // - 价格预警
            // - 技术指标计算
            // - 交易信号生成
            // - 数据分析
        }
    }
}

4.2 性能监控

代码语言:java
复制
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;

/**
 * 性能监控器
 */
public class PerformanceMonitor {
    private final RealTimeDataProcessor processor;
    private final ScheduledExecutorService monitorScheduler;
    private final AtomicLong lastProcessedCount = new AtomicLong(0);

    public PerformanceMonitor(RealTimeDataProcessor processor) {
        this.processor = processor;
        this.monitorScheduler = Executors.newSingleThreadScheduledExecutor();
    }

    public void start() {
        monitorScheduler.scheduleAtFixedRate(this::reportPerformance, 5, 5, TimeUnit.SECONDS);
    }

    public void stop() {
        monitorScheduler.shutdown();
    }

    private void reportPerformance() {
        long currentCount = processor.getProcessedCount();
        long delta = currentCount - lastProcessedCount.get();
        lastProcessedCount.set(currentCount);

        int queueSize = processor.getQueueSize();
        double throughput = delta / 5.0; // 每秒处理量

        log.info("性能统计 - 队列大小: {}, 吞吐量: {}/秒, 总处理量: {}",
                 queueSize, String.format("%.2f", throughput), currentCount);

        // 预警机制
        if (queueSize > 5000) {
            log.warn("数据积压警告: 队列大小 {}", queueSize);
        }
    }
}

五、性能优化

5.1 内存优化

代码语言:java
复制
/**
 * 对象池 - 减少GC压力
 */
public class StockQuotePool {
    private final ConcurrentLinkedQueue<StockQuote> pool = new ConcurrentLinkedQueue<>();
    private final int maxSize;

    public StockQuotePool(int maxSize) {
        this.maxSize = maxSize;
    }

    public StockQuote borrowObject() {
        StockQuote obj = pool.poll();
        return obj != null ? obj : new StockQuote();
    }

    public void returnObject(StockQuote obj) {
        if (pool.size() < maxSize) {
            // 重置对象状态
            obj.setSymbol(null);
            obj.setPrice(null);
            // ... 重置其他字段
            pool.offer(obj);
        }
    }
}

5.2 网络优化

代码语言:java
复制
/**
 * 连接管理器 - 支持多连接负载均衡
 */
public class ConnectionManager {
    private final List<ITickWebSocketClient> clients = new ArrayList<>();
    private final AtomicInteger currentIndex = new AtomicInteger(0);

    public void addClient(ITickWebSocketClient client) {
        clients.add(client);
    }

    public void subscribe(String symbol, ITickWebSocketClient.QuoteListener listener) {
        // 轮询选择客户端,实现负载均衡
        int index = currentIndex.getAndIncrement() % clients.size();
        clients.get(index).subscribe(symbol, listener);
    }
}

六、总结

本文详细介绍了如何使用 Java 接入 iTick WebSocket API 获取股票实时行情,并提供了高效处理实时数据流的完整解决方案。关键要点包括:

  1. 可靠连接管理:自动重连、心跳机制、认证处理
  2. 高效数据处理:异步处理、批量操作、背压控制
  3. 可扩展架构:监听器模式、模块化设计
  4. 生产就绪:异常处理、性能监控、资源管理

这套方案能够处理高频率的实时行情数据,为量化交易、风险监控、数据分析等应用场景提供稳定可靠的数据基础。在实际部署时,建议根据具体业务需求调整队列大小、批处理参数等配置,以达到最佳性能。

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

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目录
  • 一、环境准备与依赖配置
  • 二、WebSocket 接入实现
    • 2.1 基础配置类
    • 2.2 股票行情数据模型
    • 2.3 WebSocket 客户端实现
  • 三、高效处理实时数据流
    • 3.1 数据流处理器
    • 3.2 数据存储处理器
  • 四、完整使用示例
    • 4.1 应用主程序
    • 4.2 性能监控
  • 五、性能优化
    • 5.1 内存优化
    • 5.2 网络优化
  • 六、总结
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