In the last article we introduced to you Stream message packet, the problem repeated consumption of messages can be achieved, but in some scenes grouping can not meet our needs, for example, while a number of the same user data, send over, we need to user statistics, but the message is distributed to the different cluster nodes, and then we can consider the message partition of.
When a producer to send a message to a plurality of data instances the consumer, to ensure the same message data is always the same consumer instance received and processed.
Stream news partition
Create a project
The three items on our articles in the packet, a copy modify the name and service names
Under no circumstances demonstration partition
Send multiple messages view the results
@RunWith(SpringRunner.class)
@SpringBootTest(classes=StreamSenderStart.class)
public class StreamTest {
@Autowired
private ISendeService sendService;
@Test
public void testStream(){
Product p = new Product(999, "stream test ...999");
// 将需要发送的消息封装为Message对象
Message message = MessageBuilder
.withPayload(p)
.build();
for (int i = 0; i < 10; i++) {
// 发送多条消息到队列中
sendService.send().send(message );
}
}
}
10 messages are randomly dispersed to the two consumers:
We can see that in six A message, B 4 messages, and this is random, the results of the next execution is certainly not the same.
Partition
1. The sender of the configuration
spring.application.name=stream-partition-sender
server.port=9060
#设置服务注册中心地址,指向另一个注册中心
eureka.client.serviceUrl.defaultZone=http://dpb:123456@eureka1:8761/eureka/,http://dpb:123456@eureka2:8761/eureka/
#rebbitmq 链接信息
spring.rabbitmq.host=192.168.88.150
spring.rabbitmq.port=5672
spring.rabbitmq.username=dpb
spring.rabbitmq.password=123
spring.rabbitmq.virtualHost=/
# 对应 MQ 是 exchange outputProduct自定义的信息
spring.cloud.stream.bindings.outputProduct.destination=exchangeProduct
#通过该参数指定了分区键的表达式规则
spring.cloud.stream.bindings.outputProduct.producer.partitionKeyExpression=payload
#指定了消息分区的数量。
spring.cloud.stream.bindings.outputProduct.producer.partitionCount=2
2. Configure consumers
A Service
spring.application.name=stream-partition-receiverA
server.port=9070
#设置服务注册中心地址,指向另一个注册中心
eureka.client.serviceUrl.defaultZone=http://dpb:123456@eureka1:8761/eureka/,http://dpb:123456@eureka2:8761/eureka/
#rebbitmq 链接信息
spring.rabbitmq.host=192.168.88.150
spring.rabbitmq.port=5672
spring.rabbitmq.username=dpb
spring.rabbitmq.password=123
spring.rabbitmq.virtualHost=/
# 对应 MQ 是 exchange 和消息发送者的 交换器是同一个
spring.cloud.stream.bindings.inputProduct.destination=exchangeProduct
# 具体分组 对应 MQ 是 队列名称 并且持久化队列 inputProduct 自定义
spring.cloud.stream.bindings.inputProduct.group=groupProduct999
#开启消费者分区功能
spring.cloud.stream.bindings.inputProduct.consumer.partitioned=true
#指定了当前消费者的总实例数量
spring.cloud.stream.instanceCount=2
#设置当前实例的索引号,从 0 开始
spring.cloud.stream.instanceIndex=0
Services B
spring.application.name=stream-partition-receiverB
server.port=9071
#设置服务注册中心地址,指向另一个注册中心
eureka.client.serviceUrl.defaultZone=http://dpb:123456@eureka1:8761/eureka/,http://dpb:123456@eureka2:8761/eureka/
#rebbitmq 链接信息
spring.rabbitmq.host=192.168.88.150
spring.rabbitmq.port=5672
spring.rabbitmq.username=dpb
spring.rabbitmq.password=123
spring.rabbitmq.virtualHost=/
# 对应 MQ 是 exchange 和消息发送者的 交换器是同一个
spring.cloud.stream.bindings.inputProduct.destination=exchangeProduct
# 具体分组 对应 MQ 是 队列名称 并且持久化队列 inputProduct 自定义
spring.cloud.stream.bindings.inputProduct.group=groupProduct999
#开启消费者分区功能
spring.cloud.stream.bindings.inputProduct.consumer.partitioned=true
#指定了当前消费者的总实例数量
spring.cloud.stream.instanceCount=2
#设置当前实例的索引号,从 1 开始
spring.cloud.stream.instanceIndex=1
Start Testing Services
10 A consumer messages are to the consumer, indicating reached our desired effect.
Case Source: https: //github.com/q279583842q/springcloud-e-book