package cn.iocoder.yudao.framework.mq.redis.core.job;
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import cn.iocoder.yudao.framework.mq.redis.core.RedisMQTemplate;
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import cn.iocoder.yudao.framework.mq.redis.core.stream.AbstractRedisStreamMessageListener;
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import lombok.AllArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import org.redisson.api.RLock;
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import org.redisson.api.RedissonClient;
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import org.springframework.data.redis.core.StreamOperations;
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import org.springframework.scheduling.annotation.Scheduled;
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import java.util.List;
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/**
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* Redis Stream 消息清理任务
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* 用于定期清理已消费的消息,防止内存占用过大
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*
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* @see <a href="https://www.cnblogs.com/nanxiang/p/16179519.html">记一次 redis stream 数据类型内存不释放问题</a>
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*
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* @author 芋道源码
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*/
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@Slf4j
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@AllArgsConstructor
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public class RedisStreamMessageCleanupJob {
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/**
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* 业务 MQ(Spring 容器内 AbstractRedisStreamMessageListener)清理任务使用的分布式锁
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*/
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public static final String DEFAULT_CLEANUP_LOCK_KEY = "redis:stream:message-cleanup:lock";
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/**
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* IoT Redis 总线清理任务使用的分布式锁(须与 {@link #DEFAULT_CLEANUP_LOCK_KEY} 区分,否则会共抢一把锁,
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* 同一时刻只有一侧能执行 XTRIM,另一侧 Stream 可能无限积压)
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*/
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public static final String IOT_CLEANUP_LOCK_KEY = "redis:stream:message-cleanup:lock:iot";
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/**
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* 保留的消息数量,默认保留最近 10000 条消息
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*/
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private static final long MAX_COUNT = 10000;
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private final List<AbstractRedisStreamMessageListener<?>> listeners;
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private final RedisMQTemplate redisTemplate;
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private final RedissonClient redissonClient;
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/**
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* Redisson 锁键(多 Bean 注册清理任务时必须各不相同)
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*/
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private final String cleanupLockKey;
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/**
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* 每小时执行一次清理任务
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*/
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@Scheduled(cron = "0 0 * * * ?")
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public void cleanup() {
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RLock lock = redissonClient.getLock(cleanupLockKey);
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if (lock.tryLock()) {
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try {
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execute();
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} catch (Exception ex) {
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log.error("[cleanup][执行异常][lockKey={}]", cleanupLockKey, ex);
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} finally {
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if (lock.isHeldByCurrentThread()) {
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lock.unlock();
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}
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}
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} else {
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log.debug("[cleanup][未获取到锁,跳过本轮][lockKey={}]", cleanupLockKey);
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}
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}
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/**
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* 执行清理逻辑
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*/
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private void execute() {
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StreamOperations<String, Object, Object> ops = redisTemplate.getRedisTemplate().opsForStream();
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listeners.forEach(listener -> {
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try {
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// 使用 XTRIM MAXLEN 精确裁剪(approximate=false),避免 ~ 模式下长期明显高于上限
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Long trimCount = ops.trim(listener.getStreamKey(), MAX_COUNT, false);
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if (trimCount != null && trimCount > 0) {
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log.info("[execute][Stream({}) 清理消息数量({})]", listener.getStreamKey(), trimCount);
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}
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} catch (Exception ex) {
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log.error("[execute][Stream({}) 清理异常]", listener.getStreamKey(), ex);
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}
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});
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}
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}
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