Spring Cloud Stream 多通道创建
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一个SpringCloudStream应用可以有任意数目的input和output通道,后者通过@Input和@Output注解在接口中定义。
定义输出通道
package cn.test.custom;import org.springframework.cloud.stream.annotation.Output;import org.springframework.messaging.MessageChannel;public interface CustomSource { String OUTPUT = "output3"; @Output(OUTPUT) MessageChannel output(); String OUTPUT1 = "output1"; String OUTPUT2 = "output2"; @Output(OUTPUT1) MessageChannel output1(); @Output(OUTPUT2) MessageChannel output2();}
消息生产者通过不同的输出通道产生不同的消息
package cn.test.custom;import java.util.Random;import java.util.UUID;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.cloud.stream.annotation.EnableBinding;import org.springframework.messaging.support.MessageBuilder;import org.springframework.scheduling.annotation.Scheduled;import org.springframework.stereotype.Component;import cn.test.bean.Item;import cn.test.bean.Order;@EnableBinding({ CustomSource.class })@Componentpublic class Producer { @Autowired private CustomSource source; @Scheduled(fixedRate = 5000) public void produceHotDrinks() { source.output().send( MessageBuilder.withPayload(Order.builder().flag("Hot").num(new Random().nextInt(100)).build()).build()); } @Scheduled(fixedRate = 3000) public void produceColdDrinks() { source.output().send(MessageBuilder .withPayload(Order.builder().flag("Cold").num(new Random().nextInt(100)).build()).build()); } @Scheduled(fixedRate = 3000) public void produceItem() { source.output1() .send(MessageBuilder.withPayload( Item.builder().id(UUID.randomUUID().toString()).timestamp(System.currentTimeMillis()).build()) .build()); } @Scheduled(fixedRate = 3000) public void produceMsg() { source.output2().send(MessageBuilder.withPayload(UUID.randomUUID().toString()).build()); }}
定义多个输入通道
package cn.test.custom;import org.springframework.cloud.stream.annotation.Input;import org.springframework.messaging.SubscribableChannel;public interface CustomSink { String INPUT = "input3"; @Input(INPUT) SubscribableChannel input(); String INPUT0 = "input0"; String INPUT1 = "input1"; String INPUT2 = "input2"; @Input(INPUT0) SubscribableChannel input0(); @Input(INPUT1) SubscribableChannel input1(); @Input(INPUT2) SubscribableChannel input2();}
消费者注册使用不同的消息通道
package cn.test.custom;import org.springframework.cloud.stream.annotation.EnableBinding;import org.springframework.cloud.stream.annotation.StreamListener;import org.springframework.messaging.support.GenericMessage;import cn.test.bean.Item;import cn.test.bean.Order;@EnableBinding({ CustomSink.class })public class Consumer { @StreamListener(CustomSink.INPUT) public synchronized void listen_average(Order order) { System.out.println("Order Received For Average : " + order); } @StreamListener(CustomSink.INPUT0) public synchronized void listen_hdfsWrite(Order order) { System.out.println("Order Received For hdfsWrite : " + order); } @StreamListener(CustomSink.INPUT1) public synchronized void receive(Item item) { System.out.println("Item Received: " + item); } @StreamListener(CustomSink.INPUT2) public synchronized <T> void get(GenericMessage<T> msg) { System.out.println("Msg Received: " + msg.getPayload()); }}
定义不同的消息输入、输出通道绑定连接目标,通过Topic共享连接程序
---spring: cloud: stream: bindings: output: destination: wdtest_ content-type: application/json output3: destination: wdtest0 content-type: application/json output1: destination: wdtest1 content-type: application/json output2: destination: wdtest2 content-type: application/json output11: destination: wdtest11 content-type: application/json output22: destination: wdtest22 content-type: application/json kafka: binder: zkNodes: 192.168.164.129 brokers: 192.168.164.129 input: consumer: resetOffsets: true---spring: cloud: stream: bindings: input: destination: wdtest_ content-type: application/json group: average input3: destination: wdtest0 content-type: application/json group: average input0: destination: wdtest0 content-type: application/json group: hdfsWrite input1: destination: wdtest1 content-type: application/json group: average input2: destination: wdtest2 content-type: application/json group: average input11: destination: wdtest11 content-type: application/json group: average input22: destination: wdtest22 content-type: application/json group: average kafka: binder: zkNodes: 192.168.164.129 brokers: 192.168.164.129 input: consumer: resetOffsets: true
发布-订阅模型可以很容易地通过共享topics连接应用程序,但创建一个应用多实例的的扩张能力同等重要。当这样做时,应用程序的不同实例被放置在一个竞争的消费者关系中,其中只有一个实例将处理一个给定的消息。
SpringCloudStream利用消费者组定义这种行为(这种分组类似于Kafka consumer groups,灵感也来源于此),每个消费者通过spring.cloud.stream.bindings.input.group指定一个组名称,以下图所示的消费者为例,应分别设置spring.cloud.stream.bindings.input.group=hdfsWrite和spring.cloud.stream.bindings.input.group=average。
所有订阅指定topics的组都会收到发布数据的一份副本,但是每一个组内只有一个成员会收到该消息。默认情况下,当一个组没有指定时,SpringCloudStream将分配给一个匿名的、独立的只有一个成员的消费组,该组与所有其他组都处于一个发布-订阅关系中。
在上面的例子中,我们定义了两个属不同组(average、hdfsWrite)的输入通道(input0、input3)去订阅输出通道Output3发布在topic = “wdtest0”上的消息,这样订阅指定topics的组都会收到发布数据的一份副本。
output3: destination: wdtest0 content-type: application/json
input3: destination: wdtest0 content-type: application/json group: average input0: destination: wdtest0 content-type: application/json group: hdfsWrite
最终运行效果如下:
Received message @Sink2: message2_dbd0b929-e1c2-4d5b-b386-9e7ff6e7aaf8Received message @Sink2: message2_3e6dcab3-6654-4f43-86e2-be42374b2855Received message @Sink1: message1_0b75156a-50b5-4f10-ad34-3fb0a33e6b8cReceived message @Sink1: message1_b5c27937-0df9-4490-9a2b-011070207192Received message @Sink1: message1_4386c474-d9a2-4996-b842-0bbd6b719bc5Received message @Sink1: message1_854d846b-3b9c-4d88-83f7-4715f8c73cc4Received message @Sink1: message1_45060d14-9473-4a89-aaa8-647ba90440cbItem Received: Item(id=91cfcc86-dea6-4ce0-b944-c827b54bd08f, timestamp=1500560648471)Order Received For Average : Order(flag=Cold, num=29)Item Received: Item(id=810fee11-499e-4f9e-9dd6-c0fe9be744ef, timestamp=1500560651295)Order Received For hdfsWrite : Order(flag=Cold, num=29)Msg Received: 168ca8f9-05c6-4361-ad0f-130b0a8269baReceived message @Sink2: message2_83a0f8d8-6a47-4e09-a305-18166aabea10TimeInfo Received: SinkTimeInfo(time=1500560651673, label=207fe8b6-0cde-4731-b0b1-1b356e0184c2)Received message @Sink1: message1_0981d125-41b3-41a3-adf6-55c8e703a9e4Received message @Sink2: message2_9339bfbe-7caf-4a40-82c8-c9bea4b85f99TimeInfo Received: SinkTimeInfo(time=1500560652675, label=01d31bf8-3d1a-4e1e-9a3c-eaf0015c7223)Received message @Sink1: message1_92511056-d866-458e-8e81-11afb1741018Order Received For Average : Order(flag=Hot, num=17)Order Received For hdfsWrite : Order(flag=Hot, num=17)Received message @Sink2: message2_f0cc8004-6559-49ae-86a9-392572a407eeTimeInfo Received: SinkTimeInfo(time=1500560653676, label=d9d6a6d2-8ca0-4261-80c8-6ee67fc62124)Received message @Sink1: message1_85693b27-3f45-4df8-86ea-35c0569436e4Order Received For Average : Order(flag=Cold, num=87)Order Received For hdfsWrite : Order(flag=Cold, num=87)Msg Received: d08c48f5-076c-420c-885a-f2b673dbd399Item Received: Item(id=71c851c2-78c7-4ea2-9408-fd7460c93778, timestamp=1500560654303)Received message @Sink1: message1_a9b9c66c-3df5-4ca5-b037-ca57cf069e97TimeInfo Received: SinkTimeInfo(time=1500560654678, label=a02e2166-07fe-447c-b626-9da4f6384318)Received message @Sink2: message2_4a99a168-313a-46a9-b6f7-81079f8e6fa9Received message @Sink2: message2_2da7af4e-0056-474c-883b-284dd6f21f9bTimeInfo Received: SinkTimeInfo(time=1500560655685, label=fe1f535d-7c11-4460-8192-445cdb9b0f8a)Received message @Sink1: message1_a0b0d6be-50f7-4826-8a34-22b7a212623cTimeInfo Received: SinkTimeInfo(time=1500560656687, label=7178f942-7098-4e96-be9c-1b4e3831a61d)Received message @Sink2: message2_a82eca34-8076-4e66-bd8c-c7fe68877528Received message @Sink1: message1_820c6e1e-985c-4a1f-b443-6eb060ec519b
注:SpringBoot项目的Bean装配默认规则是根据Application类所在的包位置从上往下扫描,或者通过@ComponentScan注解来定义扫描程序包
@ComponentScan(basePackages = { “cn.test.original” })
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