【RocketMQ】过滤消息(tag过滤、sql过滤)

文章目录

  • 1. 概述
  • 2. Tag过滤
  • 3. SQL过滤

1. 概述

在大多数情况下,可以使用Message的Tag属性来简单快速的过滤信息。

2. Tag过滤

使用Tag过滤消息的消息生产者案例见:org.apache.rocketmq.example.filter.TagFilterProducer

使用Tag过滤消息的消息消费者案例见:org.apache.rocketmq.example.filter.TagFilterConsumer

主要是看消息消费者。consumer.subscribe(“TagFilterTest”, “TagA || TagC”); 这句只订阅TagA和TagC的消息。

TAG是RocketMQ中特有的一个消息属性。RocketMQ的最佳实践中就建议,使用RocketMQ时,一个应用可以就用一个Topic,而应用中的不同业务就用TAG来区分。

但是,这种方式有一个很大的限制,就是一个消息只能有一个TAG,这在一些比较复杂的场景就有点不足了。 这时候,可以使用SQL表达式来对消息进行过滤。

package org.apache.rocketmq.example.filter;

import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.remoting.common.RemotingHelper;

public class TagFilterProducer {

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

        DefaultMQProducer producer = new DefaultMQProducer("please_rename_unique_group_name");
        producer.start();

        String[] tags = new String[] {"TagA", "TagB", "TagC"};

        for (int i = 0; i < 15; i++) {
            Message msg = new Message("TagFilterTest",
                tags[i % tags.length],
                "Hello world".getBytes(RemotingHelper.DEFAULT_CHARSET));

            SendResult sendResult = producer.send(msg);
            System.out.printf("%s%n", sendResult);
        }

        producer.shutdown();
    }
}

package org.apache.rocketmq.example.filter;

import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer;
import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyContext;
import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyStatus;
import org.apache.rocketmq.client.consumer.listener.MessageListenerConcurrently;
import org.apache.rocketmq.client.exception.MQClientException;
import org.apache.rocketmq.common.message.MessageExt;

import java.io.IOException;
import java.util.List;

public class TagFilterConsumer {

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

        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("please_rename_unique_group_name");

        consumer.subscribe("TagFilterTest", "TagA || TagC");

        consumer.registerMessageListener(new MessageListenerConcurrently() {

            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs,
                ConsumeConcurrentlyContext context) {
                System.out.printf("%s Receive New Messages: %s %n", Thread.currentThread().getName(), msgs);
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();

        System.out.printf("Consumer Started.%n");
    }
}

3. SQL过滤

SQL过滤的消息生产者案例见:org.apache.rocketmq.example.filter.SqlFilterProducer

SQL过滤的消息消费者案例见:org.apache.rocketmq.example.filter.SqlFilterConsumer

这个模式的关键是在消费者端使用MessageSelector.bySql(String sql)返回的一个MessageSelector。这里面的sql语句是按照SQL92标准来执行的。sql中可以使用的参数有默认的TAGS和一个在生产者中加入的a属性。

SQL92语法:

RocketMQ只定义了一些基本语法来支持这个特性。你也可以很容易地扩展它。

数值比较,比如:>>=<<=,BETWEEN,=;
字符比较,比如:=<>,IN;
IS NULL 或者 IS NOT NULL;
逻辑符号 AND,OR,NOT;

常量支持类型为:

数值,比如:1233.1415;
字符,比如:'abc',必须用单引号包裹起来;
NULL,特殊的常量
布尔值,TRUE 或 FALSE
使用注意:只有推模式的消费者可以使用SQL过滤。拉模式是用不了的。

大家想一下,这个消息过滤是在Broker端进行的还是在Consumer端进行的?
答:Broker端,避免网络浪费


package org.apache.rocketmq.example.filter;

import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.remoting.common.RemotingHelper;

public class SqlFilterProducer {

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

        DefaultMQProducer producer = new DefaultMQProducer("please_rename_unique_group_name");

        producer.start();

        String[] tags = new String[] {"TagA", "TagB", "TagC"};

        for (int i = 0; i < 15; i++) {
            Message msg = new Message("SqlFilterTest",
                tags[i % tags.length],
                ("Hello RocketMQ " + i).getBytes(RemotingHelper.DEFAULT_CHARSET)
            );
            msg.putUserProperty("a", String.valueOf(i));

            SendResult sendResult = producer.send(msg);
            System.out.printf("%s%n", sendResult);
        }

        producer.shutdown();
    }
}


package org.apache.rocketmq.example.filter;

import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer;
import org.apache.rocketmq.client.consumer.MessageSelector;
import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyContext;
import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyStatus;
import org.apache.rocketmq.client.consumer.listener.MessageListenerConcurrently;
import org.apache.rocketmq.common.message.MessageExt;

import java.util.List;

public class SqlFilterConsumer {

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

        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("please_rename_unique_group_name");

        // Don't forget to set enablePropertyFilter=true in broker
        consumer.subscribe("SqlFilterTest",
            MessageSelector.bySql("(TAGS is not null and TAGS in ('TagA', 'TagB'))" +
                "and (a is not null and a between 0 and 3)"));

        consumer.registerMessageListener(new MessageListenerConcurrently() {

            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs,
                ConsumeConcurrentlyContext context) {
                System.out.printf("%s Receive New Messages: %s %n", Thread.currentThread().getName(), msgs);
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();
        System.out.printf("Consumer Started.%n");
    }
}

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