如何使用 Lettuce Java 库持续监听 Redis 流

fal*_*con 7 java lettuce spring-data-redis spring-data-redis-reactive redis-streams

我正在尝试监听 Redis 流并在消息到达时对其进行处理。我正在使用异步命令,我希望消息被推送而不是被拉取。所以我认为不需要 while 循环。但下面的代码似乎不起作用。

public static void main(String[] args) throws InterruptedException {

    RedisClient redisClient = RedisClient
        .create("redis://localhost:6379/");
    StatefulRedisConnection<String, String> connection
        = redisClient.connect();
    RedisAsyncCommands commands = connection.async();
    commands.xgroupCreate(StreamOffset.latest("my-stream"), "G1", new XGroupCreateArgs());
    commands
        .xreadgroup(Consumer.from("G1", "c1"), StreamOffset.lastConsumed("my-stream"))
        .thenAccept(System.out::println);

    Thread.currentThread().join();
}
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它只打印程序启动时流中的所有内容,而不打印程序运行时添加的消息。是否应该为新添加到流中的每条消息调用回调?

小智 0

我认为你应该使用xgroupCreate方法来创建消费者和组之间的链接,否则你会得到错误。

exception in thread "main" java.util.concurrent.ExecutionException: io.lettuce.core.RedisCommandExecutionException: NOGROUP No such key 'my-stream1' or consumer group 'group1' in XREADGROUP with GROUP option
    at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:357)
    at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1895)
    at com.test.TestList.main(TestList.java:57)
Caused by: io.lettuce.core.RedisCommandExecutionException: NOGROUP No such key 'my-stream1' or consumer group 'group1' in XREADGROUP with GROUP option
    at io.lettuce.core.ExceptionFactory.createExecutionException(ExceptionFactory.java:135)
    at io.lettuce.core.ExceptionFactory.createExecutionException(ExceptionFactory.java:108)
    at io.lettuce.core.protocol.AsyncCommand.completeResult(AsyncCommand.java:120)
    at io.lettuce.core.protocol.AsyncCommand.complete(AsyncCommand.java:111)
    at io.lettuce.core.protocol.CommandHandler.complete(CommandHandler.java:654)
    at io.lettuce.core.protocol.CommandHandler.decode(CommandHandler.java:614)
    at io.lettuce.core.protocol.CommandHandler.channelRead(CommandHandler.java:565)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:374)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:360)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:352)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1422)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:374)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:360)
    at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:931)
    at io.netty.channel.kqueue.AbstractKQueueStreamChannel$KQueueStreamUnsafe.readReady(AbstractKQueueStreamChannel.java:544)
    at io.netty.channel.kqueue.AbstractKQueueChannel$AbstractKQueueUnsafe.readReady(AbstractKQueueChannel.java:381)
    at io.netty.channel.kqueue.KQueueEventLoop.processReady(KQueueEventLoop.java:211)
    at io.netty.channel.kqueue.KQueueEventLoop.run(KQueueEventLoop.java:289)
    at io.netty.util.concurrent.SingleThreadEventExecutor$6.run(SingleThreadEventExecutor.java:1050)
    at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
    at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
    at java.lang.Thread.run(Thread.java:748)
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示例代码如下:

package com.test;

import io.lettuce.core.Consumer;
import io.lettuce.core.RedisClient;
import io.lettuce.core.RedisFuture;
import io.lettuce.core.StreamMessage;
import io.lettuce.core.XGroupCreateArgs;
import io.lettuce.core.XReadArgs.StreamOffset;
import io.lettuce.core.api.StatefulRedisConnection;
import io.lettuce.core.api.async.RedisAsyncCommands;

import java.util.List;
public class TestList {
    public static void main(String[] args) throws Exception {
        RedisClient redisClient = RedisClient.create("redis://localhost:6379/");
        StatefulRedisConnection<String, String> connection = redisClient.connect();
        RedisAsyncCommands commands = connection.async();
        RedisFuture<String> redisFuture = commands.xadd("my-stream1", "test", "1234");
        String redisFutureGet = redisFuture.get();
        System.out.println(redisFutureGet);
        commands.xgroupCreate(StreamOffset.latest("my-stream1"), "group1", new XGroupCreateArgs()); // add a group pointing to the stream
        RedisFuture<List<StreamMessage<String, String>>> messages = commands.xreadgroup(Consumer.from("group1", "my-stream1"),
                StreamOffset.lastConsumed("my-stream1"));
        List<StreamMessage<String, String>> res = messages.get();
        System.out.println(res);
    }
}
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  • 我已经使用 redis-cli 创建了该组。但我的问题不是这个。我不想只阅读流中的任何内容并立即退出(就像您的代码一样)。我想让程序保持运行,并在有人将数据添加到流中时继续使用消息。有点像队列。但不使用无限循环(这超出了异步推送模型的目的) (2认同)