RocketMQ Streams 快速开始

RocketMQ Streams工程中运行

参考RocketMQ Streams工程rocketmq-streams-examples模块下程序可以直接运行；运行example步骤：

• 本地启动RocketMQ 5.0及以上版本;
• 使用mqAdmin创建example中数据源topic；
• 启动example中例子；
• 向RocketMQ的源topic中写入合适数据（依据示例而定）；

RocketMQ Streams以SDK方式被应用依赖

环境准备

• 64bit JDK 1.8及以上
• Maven 3.2及以上
• 本地启动RocketMQ，启动文档

构建RocketMQ Streams

添加pom依赖

 <dependencies>
    <dependency>
        <groupId>org.apache.rocketmq</groupId>
        <artifactId>rocketmq-streams</artifactId>
            <!-- 根据需要修改 -->
        <version>1.1.0</version>
    </dependency>
</dependencies>

编写流计算程序

public class WordCount {
    public static void main(String[] args) {
        StreamBuilder builder = new StreamBuilder("wordCount");
        builder.source("sourceTopic", total -> {
                    String value = new String(total, StandardCharsets.UTF_8);
                    return new Pair<>(null, value);
                })
                .flatMap((ValueMapperAction<String, List<String>>) value -> {
                    String[] splits = value.toLowerCase().split("\\W+");
                    return Arrays.asList(splits);
                })
                .keyBy(value -> value)
                .count()
                .toRStream()
                .print();
        TopologyBuilder topologyBuilder = builder.build();
        Properties properties = new Properties();
        properties.put(MixAll.NAMESRV_ADDR_PROPERTY, "127.0.0.1:9876");
        RocketMQStream rocketMQStream = new RocketMQStream(topologyBuilder, properties);
        final CountDownLatch latch = new CountDownLatch(1);
        Runtime.getRuntime().addShutdownHook(new Thread("wordcount-shutdown-hook") {
            @Override
            public void run() {
                rocketMQStream.stop();
                latch.countDown();
            }
        });
        try {
            rocketMQStream.start();
            latch.await();
        } catch (final Throwable e) {
            System.exit(1);
        }
        System.exit(0);
    }
}

向RocketMQ sourceTopic中写入数据并观察结果

如果向sourceTopic中写入的数据如下：每行数据作为一个消息发送；

"To be, or not to be,--that is the question:--",
"Whether 'tis nobler in the mind to suffer",
"The slings and arrows of outrageous fortune",
"Or to take arms against a sea of troubles,",
"And by opposing end them?--To die,--to sleep,--",
"No more; and by a sleep to say we end",
"The heartache, and the thousand natural shocks",
"That flesh is heir to,--'tis a consummation",

统计单词出现频率，计算结果如下：

(key=to, value=1)
(key=be, value=1)
(key=or, value=1)
(key=not, value=1)
(key=to, value=2)
(key=be, value=2)
(key=that, value=1)
(key=is, value=1)
(key=the, value=1)
(key=whether, value=1)
(key=tis, value=1)
(key=nobler, value=1)
(key=mind, value=1)
(key=against, value=1)
(key=troubles, value=1)
(key=slings, value=1)
(key=die, value=1)
(key=natural, value=1)
(key=flesh, value=1)
(key=sea, value=1)
(key=fortune, value=1)
(key=shocks, value=1)
(key=consummation, value=1)
(key=to, value=3)
(key=to, value=4)
(key=to, value=5)
(key=say, value=1)
(key=end, value=1)
(key=end, value=2)
(key=to, value=6)
(key=to, value=7)
(key=to, value=8)
(key=or, value=2)
(key=them, value=1)
(key=take, value=1)
(key=arms, value=1)
(key=of, value=1)
(key=and, value=1)
(key=of, value=2)
(key=and, value=2)
(key=by, value=1)
(key=sleep, value=1)
(key=and, value=3)
(key=by, value=2)
(key=sleep, value=2)
(key=and, value=4)
(key=that, value=2)
(key=arrows, value=1)
(key=heir, value=1)
(key=question, value=1)
(key=is, value=2)
(key=the, value=2)
(key=suffer, value=1)
(key=a, value=1)
(key=the, value=3)
(key=no, value=1)
(key=a, value=2)
(key=opposing, value=1)
(key=the, value=4)
(key=the, value=5)
(key=a, value=3)
(key=in, value=1)
(key=more, value=1)
(key=heartache, value=1)
(key=outrageous, value=1)
(key=we, value=1)
(key=thousand, value=1)
(key=tis, value=2)