业务场景
我们公司是做共享充电宝的业务的。有一些比较大的代理商或者ka商户，他们需要了解到他们自己下面的商户的订单数据，这些订单数据需要由我们推送给他们。
大致架构为数据部门通过canal订阅订单表的数据，然后推送到kafka ，我们订阅数据部门kafka获取到代理商下商户的实时订单数据再推送给代理商。比如，代理商下商户产生了一笔订单，整个过程会产生，订单生成，订单已支付，充电宝已被取走，充电宝已归还等多种状态的订单消息，我们需要实时把这些订单消息推送给代理商。我们的业务场景需要消息的顺序推送和多线程并发消费以提高性能
kafka多线程消费方案
消费者程序启动多个线程，每个线程维护专属的KafkaConsumer实例，负责完整的消息获取、消息处理
流程。如下图所示:
消费者程序使用单或多线程获取消息，同时创建多个消费线程执行消息处理逻辑。获取消息的线程可以 是一个，也可以是多个，每个线程维护专属的KafkaConsumer实例，处理消息则交由特定的线程池来 做，从而实现消息获取与消息处理的真正解耦。具体架构如下图所示:
这两种方案孰优孰劣呢?应该说是各有千秋。这两种方案的优缺点，我们先来看看下面这张表格。
kafka怎么保证顺序消费
保证顺序消费，需要满足如下条件
保证相同订单编号的消息需要发送到同一个分区。
@Configuration
public class SenderConfig {
@Value("${kafka.bootstrap-servers}")
private String bootstrapServers;
@Bean
public Map producerConfigs() {
Map props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
@Bean
public ProducerFactory producerFactory() {
return new DefaultKafkaProducerFactory<>(producerConfigs());
}
@Bean
public KafkaTemplate kafkaTemplate() {
return new KafkaTemplate<>(producerFactory());
}
@Bean
public Sender sender() {
return new Sender();
}
}
public class Sender {
@Autowired
private KafkaTemplate kafkaTemplate;
public void send(String topic, String data) {
kafkaTemplate.send(topic, data);
}
public void send(String topic, int partition, String data) {
kafkaTemplate.send(topic, partition, data);
}
}
@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringKafkaApplicationTest {
private static String BATCH_TOPIC = "batch.t";
private static Integer PARTITIONS = 6;
private static Integer PAYED_STATUS = 2;
private static Integer SEND_BACK_STATUS = 3;
@Autowired
private Sender sender;
private static DelayQueue delayQueue = new DelayQueue();
@Test
public void testReceive() throws Exception {
for (int i = 1; i < 50; i++) {
Integer orderNum = 800010 + i;
Integer orderPrice = RandomUtil.randomInt(1, 20);
// 用户支付成功，订单状态为支付成功
OrderDTO order = new OrderDTO(orderNum, orderPrice, PAYED_STATUS);
// 发送支付成功订单消息到对应的kafka分区
Integer destinationPartition = orderNum % PARTITIONS;
sender.send(BATCH_TOPIC, destinationPartition, JSONUtil.toJsonStr(order));
// 创建任务放入延迟队列(模拟用户支付成功到取走充电宝花费的时间)
long delayTime = 200;
OrderTask orderTask = new OrderTask(delayTime, order);
delayQueue.offer(orderTask);
}
while (true) {
// 用户取走充电宝,订单状态更改为 已取走
OrderTask orderTask = (OrderTask) delayQueue.take();
OrderDTO orderDTO = orderTask.getOrderDTO();
Integer destinationPartition = orderDTO.getOrderNum() % PARTITIONS;
orderDTO.setOrderStatus(SEND_BACK_STATUS);
// 发送已取走订单消息到对应的kafka 分区
sender.send(BATCH_TOPIC, destinationPartition, JSONUtil.toJsonStr(orderDTO));
}
}
}
可以看出我们通过订单号对分区数进行取余，来确定该消息发送到哪一个分区，保证相同订单号的消息被发送到相同的分区。当然也可以对字符串这些进行hash ，获得hash值来对分区数取余
Integer destinationPartition=orderDTO.getOrderNum()%PARTITIONS;
保证同一个分区的消息由同一个线程来消费。
我们的业务场景需要采用多线程方案一来处理我们的业务
普通方式实现方案一
public class KafkaConsumerRunner implements Runnable {
private final AtomicBoolean closed = new AtomicBoolean(false);
private final KafkaConsumer consumer;
public KafkaConsumerRunner(KafkaConsumer consumer) {
this.consumer = consumer;
}
@Override
public void run() {
try {
consumer.subscribe(Arrays.asList("topic"));
while (!closed.get()) {
// 执行消息处理逻辑
ConsumerRecords records = consumer.poll(10000);
}
} catch (Exception e) {
// Ignore exception if closing
if (!closed.get()) {
throw e;
}
} finally {
consumer.close();
}
}
public void shutdown() {
closed.set(true);
consumer.wakeup();
}
}
spring-kafka为我们做的封装
消费者相关配置：
这里我们需要注意的是factory.setConcurrency(4)。
这个是配置主要是设置KafkaConsumer的数量，最大为topic 的分区数。当然你如果设置的值超过topic 分区数，spring-kafka 还是只会为我们创建最大分区数的KafkaConsumer数量，也就是创建KafkaConsumer数量能少于分区数，但不会超过分区数。少于分区数的话，一个KafkaConsumer会消费多个分区的数据，保证所有的分区数据都有对应的KafkaConsumer来进行消费;但不会出现多个KafkaConsumer消费同一个分区的情况，因为如果是这样也就无法保证消息的顺序消费机制。
一般情况下如果数据量较大，我们需要把此值设置为topic分区数，这样一个KafkaConsumer消费一个分区的数据，提高数据的并发消费能力。
@Configuration
@EnableKafka
public class ReceiverConfig {
@Value("${kafka.bootstrap-servers}")
private String bootstrapServers;
@Bean
public Map consumerConfigs() {
Map props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.GROUP_ID_CONFIG, "batch");
// maximum records per poll
props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "100");
return props;
}
@Bean
public ConsumerFactory consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}
@Bean(name = "kafkaListenerContainerFactory")
public ConcurrentKafkaListenerContainerFactory kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory factory =
new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
// enable batch listening
factory.setBatchListener(true);
factory.setConcurrency(4);
return factory;
}
@Bean
public Receiver receiver() {
return new Receiver();
}
}
Receiver 代码
public class Receiver {
@Autowired
private PushOrderService pushOrderService;
private static final Logger LOGGER = LoggerFactory.getLogger(Receiver.class);
private static final String BATCH_TOPIC = "batch.t";
@KafkaListener(topics = BATCH_TOPIC, containerFactory = "kafkaListenerContainerFactory")
public void receivePartitions(List data,
@Header(KafkaHeaders.RECEIVED_PARTITION_ID) List partitions,
@Header(KafkaHeaders.OFFSET) List offsets) {
for (int i = 0; i < data.size(); i++) {
Long threadId = Thread.currentThread().getId();
// 向第三方推送订单消息
String orderStr = data.get(i);
pushOrderService.pushOrderToPlatform(orderStr);
OrderDTO orderDTO = JSONUtil.toBean(orderStr, OrderDTO.class);
LOGGER.info("推送订单消息成功,订单号为:{},状态为:{},分区为{},处理线程为:{}", orderDTO.getOrderNum(), orderDTO.getOrderStatus(), partitions.get(i), threadId);
}
}
}
@Service
public class PushOrderService {
private static Integer PAYED_STATUS = 2;
public void pushOrderToPlatform(String orderString) {
// 模拟网络推送订单信息给第三方平台(同步推送)
OrderDTO orderDTO = JSONUtil.toBean(orderString, OrderDTO.class);
// 已支付 订单消息
if (orderDTO.getOrderStatus().equals(PAYED_STATUS)) {
ThreadUtil.sleep(500);
} else {
// 已取走 订单消息
ThreadUtil.sleep(200);
}
}
}
测试结果：无锡做人流手术多少钱 http://www.ytsg029.com/
16:17:47.026 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800014,状态为:2,分区为4,处理线程为:67
16:17:47.026 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800012,状态为:2,分区为2,处理线程为:66
16:17:47.534 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800020,状态为:2,分区为4,处理线程为:67
16:17:47.534 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800018,状态为:2,分区为2,处理线程为:66
16:17:48.035 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800026,状态为:2,分区为4,处理线程为:67
16:17:48.036 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800024,状态为:2,分区为2,处理线程为:66
16:17:48.537 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800015,状态为:2,分区为5,处理线程为:67
16:17:48.539 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800016,状态为:2,分区为0,处理线程为:66
16:17:49.044 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800022,状态为:2,分区为0,处理线程为:66
16:17:49.045 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800021,状态为:2,分区为5,处理线程为:67
16:17:49.546 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800013,状态为:2,分区为3,处理线程为:67
16:17:49.547 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800028,状态为:2,分区为0,处理线程为:66
16:17:50.051 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800019,状态为:2,分区为3,处理线程为:67
16:17:50.051 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800011,状态为:2,分区为1,处理线程为:66
16:17:50.554 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800025,状态为:2,分区为3,处理线程为:67
16:17:50.554 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800017,状态为:2,分区为1,处理线程为:66
16:17:51.060 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800023,状态为:2,分区为1,处理线程为:66
16:17:51.576 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800034,状态为:2,分区为0,处理线程为:66
16:17:51.579 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800031,状态为:2,分区为3,处理线程为:67
16:17:51.583 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800032,状态为:2,分区为4,处理线程为:70
16:17:51.583 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800027,状态为:2,分区为5,处理线程为:72
16:17:52.079 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800040,状态为:2,分区为0,处理线程为:66
16:17:52.083 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800037,状态为:2,分区为3,处理线程为:67
16:17:52.088 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800038,状态为:2,分区为4,处理线程为:70
16:17:52.088 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800033,状态为:2,分区为5,处理线程为:72
16:17:52.583 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800046,状态为:2,分区为0,处理线程为:66
16:17:52.588 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800043,状态为:2,分区为3,处理线程为:67
16:17:52.589 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800044,状态为:2,分区为4,处理线程为:70
16:17:52.590 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800039,状态为:2,分区为5,处理线程为:72
16:17:53.089 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800052,状态为:2,分区为0,处理线程为:66
16:17:53.091 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800050,状态为:2,分区为4,处理线程为:70
16:17:53.091 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800049,状态为:2,分区为3,处理线程为:67
16:17:53.095 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800045,状态为:2,分区为5,处理线程为:72
16:17:53.591 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800058,状态为:2,分区为0,处理线程为:66
16:17:53.592 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800056,状态为:2,分区为4,处理线程为:70
16:17:53.593 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800055,状态为:2,分区为3,处理线程为:67
16:17:53.600 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800051,状态为:2,分区为5,处理线程为:72
16:17:53.795 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800016,状态为:3,分区为0,处理线程为:66
16:17:53.796 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800013,状态为:3,分区为3,处理线程为:67
16:17:53.796 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800014,状态为:3,分区为4,处理线程为:70
16:17:54.000 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800020,状态为:3,分区为4,处理线程为:70
16:17:54.000 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800019,状态为:3,分区为3,处理线程为:67
16:17:54.000 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800022,状态为:3,分区为0,处理线程为:66
16:17:54.101 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800057,状态为:2,分区为5,处理线程为:72
16:17:54.205 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800026,状态为:3,分区为4,处理线程为:70
16:17:54.206 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800025,状态为:3,分区为3,处理线程为:67
16:17:54.206 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800028,状态为:3,分区为0,处理线程为:66
16:17:54.306 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800015,状态为:3,分区为5,处理线程为:72
16:17:54.410 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800037,状态为:3,分区为3,处理线程为:67
16:17:54.410 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800034,状态为:3,分区为0,处理线程为:66
16:17:54.410 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800032,状态为:3,分区为4,处理线程为:70
16:17:54.510 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800021,状态为:3,分区为5,处理线程为:72
16:17:54.614 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800031,状态为:3,分区为3,处理线程为:67
16:17:54.615 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800046,状态为:3,分区为0,处理线程为:66
16:17:54.615 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800038,状态为:3,分区为4,处理线程为:70
16:17:54.711 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800027,状态为:3,分区为5,处理线程为:72
16:17:54.820 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800043,状态为:3,分区为3,处理线程为:67
16:17:54.820 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800040,状态为:3,分区为0,处理线程为:66
16:17:54.820 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800056,状态为:3,分区为4,处理线程为:70
16:17:54.914 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800033,状态为:3,分区为5,处理线程为:72
16:17:55.025 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800044,状态为:3,分区为4,处理线程为:70
16:17:55.025 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800052,状态为:3,分区为0,处理线程为:66
16:17:55.025 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800055,状态为:3,分区为3,处理线程为:67
16:17:55.118 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800039,状态为:3,分区为5,处理线程为:72
16:17:55.231 [org.springframework.kafka.KafkaListenerEndpointContainer#0-2-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800050,状态为:3,分区为4,处理线程为:70
16:17:55.231 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800049,状态为:3,分区为3,处理线程为:67
16:17:55.231 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800058,状态为:3,分区为0,处理线程为:66
16:17:55.321 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800057,状态为:3,分区为5,处理线程为:72
16:17:55.525 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800051,状态为:3,分区为5,处理线程为:72
16:17:55.728 [org.springframework.kafka.KafkaListenerEndpointContainer#0-3-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800045,状态为:3,分区为5,处理线程为:72
16:17:55.735 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800029,状态为:2,分区为1,处理线程为:66
16:17:55.737 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800030,状态为:2,分区为2,处理线程为:67
16:17:56.239 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800036,状态为:2,分区为2,处理线程为:67
16:17:56.239 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800035,状态为:2,分区为1,处理线程为:66
16:17:56.743 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800042,状态为:2,分区为2,处理线程为:67
16:17:56.743 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800041,状态为:2,分区为1,处理线程为:66
16:17:57.247 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800047,状态为:2,分区为1,处理线程为:66
16:17:57.247 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800048,状态为:2,分区为2,处理线程为:67
16:17:57.751 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800053,状态为:2,分区为1,处理线程为:66
16:17:57.751 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800054,状态为:2,分区为2,处理线程为:67
16:17:57.953 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800012,状态为:3,分区为2,处理线程为:67
16:17:58.159 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800018,状态为:3,分区为2,处理线程为:67
16:17:58.256 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800059,状态为:2,分区为1,处理线程为:66
16:17:58.361 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800024,状态为:3,分区为2,处理线程为:67
16:17:58.457 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800011,状态为:3,分区为1,处理线程为:66
16:17:58.566 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800048,状态为:3,分区为2,处理线程为:67
16:17:58.662 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800017,状态为:3,分区为1,处理线程为:66
16:17:58.771 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800042,状态为:3,分区为2,处理线程为:67
16:17:58.868 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800023,状态为:3,分区为1,处理线程为:66
16:17:58.975 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800030,状态为:3,分区为2,处理线程为:67
16:17:59.073 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800029,状态为:3,分区为1,处理线程为:66
16:17:59.177 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800036,状态为:3,分区为2,处理线程为:67
16:17:59.279 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800041,状态为:3,分区为1,处理线程为:66
16:17:59.383 [org.springframework.kafka.KafkaListenerEndpointContainer#0-1-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800054,状态为:3,分区为2,处理线程为:67
16:17:59.481 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800035,状态为:3,分区为1,处理线程为:66
16:17:59.685 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800053,状态为:3,分区为1,处理线程为:66
16:17:59.891 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800047,状态为:3,分区为1,处理线程为:66
16:18:00.092 [org.springframework.kafka.KafkaListenerEndpointContainer#0-0-C-1] INFO c.c.kafka.consumer.Receiver - 推送订单消息成功,订单号为:800059,状态为:3,分区为1,处理线程为:66
完整代码
