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!480 解决RedisPendingMessageResendJob 任务可能会导致消息重复的问题

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Merge pull request !480 from 天气真好/redis-stream-mq
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芋道源码 2023-06-17 04:36:51 +00:00 committed by Gitee
commit a978c99617
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1 changed files with 29 additions and 16 deletions
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yudao-framework/yudao-spring-boot-starter-mq/src/main/java/cn/iocoder/yudao/framework/mq/job/RedisPendingMessageResendJob.java
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@ -7,17 +7,14 @@ import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.redisson.api.RLock;
import org.redisson.api.RedissonClient;
import org.springframework.data.redis.connection.stream.Consumer;
import org.springframework.data.redis.connection.stream.MapRecord;
import org.springframework.data.redis.connection.stream.PendingMessagesSummary;
import org.springframework.data.redis.connection.stream.ReadOffset;
import org.springframework.data.redis.connection.stream.StreamOffset;
import org.springframework.data.redis.connection.stream.StreamRecords;
import org.springframework.data.domain.Range;
import org.springframework.data.redis.connection.stream.*;
import org.springframework.data.redis.core.StreamOperations;
import org.springframework.scheduling.annotation.Scheduled;
import java.util.List;
import java.util.Map;
import java.util.Objects;
/**
* 这个任务用于处理，crash 之后的消费者未消费完的消息
@ -32,6 +29,13 @@ public class RedisPendingMessageResendJob {
private final RedisMQTemplate redisTemplate;
private final String groupName;
private final RedissonClient redissonClient;
/**
* 消息超时时间，默认5分钟
* <p>超时的消息才会被重新投递<p/>
* <p>由于定时任务1分钟一次，消息超时后不会被立即重投，
* 极端情况下消息5分钟过期后，再等1分钟才会被扫瞄到<p/>
*/
private final long expireTime = 5 * 60;
/**
* 一分钟执行一次,这里选择每分钟的35秒执行，是为了避免整点任务过多的问题
@ -54,25 +58,34 @@ public class RedisPendingMessageResendJob {
private void execute() {
StreamOperations<String, Object, Object> ops = redisTemplate.getRedisTemplate().opsForStream();
listeners.forEach(listener -> {
PendingMessagesSummary pendingMessagesSummary = ops.pending(listener.getStreamKey(), groupName);
PendingMessagesSummary pendingMessagesSummary = Objects.requireNonNull(ops.pending(listener.getStreamKey(), groupName));
// 每个消费者的 pending 队列消息数量
Map<String, Long> pendingMessagesPerConsumer = pendingMessagesSummary.getPendingMessagesPerConsumer();
pendingMessagesPerConsumer.forEach((consumerName, pendingMessageCount) -> {
log.info("[processPendingMessage][消费者({}) 消息数量({})]", consumerName, pendingMessageCount);
// 从消费者的 pending 队列中读取消息
List<MapRecord<String, Object, Object>> records = ops.read(Consumer.from(groupName, consumerName), StreamOffset.create(listener.getStreamKey(), ReadOffset.from("0")));
if (CollUtil.isEmpty(records)) {
// 每个消费者的 pending消息的详情信息
PendingMessages pendingMessages = ops.pending(listener.getStreamKey(), Consumer.from(groupName, consumerName), Range.unbounded(), pendingMessageCount);
if(pendingMessages.isEmpty()){
return;
}
for (MapRecord<String, Object, Object> record : records) {
for (PendingMessage pendingMessage : pendingMessages) {
// 获取消息上一次传递到 consumer 的时间,
long lastDelivery = pendingMessage.getElapsedTimeSinceLastDelivery().getSeconds();
if(lastDelivery < expireTime){
continue;
}
// 获取指定id的消息体
List<MapRecord<String, Object, Object>> records = ops.range(listener.getStreamKey(), Range.of(Range.Bound.inclusive(pendingMessage.getIdAsString()), Range.Bound.inclusive(pendingMessage.getIdAsString())));
if(CollUtil.isEmpty(records)){
continue;
}
// 重新投递消息
redisTemplate.getRedisTemplate().opsForStream().add(StreamRecords.newRecord()
.ofObject(record.getValue()) // 设置内容
.ofObject(records.get(0).getValue()) // 设置内容
.withStreamKey(listener.getStreamKey()));
// ack 消息消费完成
redisTemplate.getRedisTemplate().opsForStream().acknowledge(groupName, record);
redisTemplate.getRedisTemplate().opsForStream().acknowledge(groupName, records.get(0));
log.info("[processPendingMessage][消息({})重新投递成功]", records.get(0).getId());
}
});
});