流式图表拒绝增删改查之kafka核心消费逻辑上篇

<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
    <groupId>com.uptown</groupId>
    <artifactId>matrix-common</artifactId>
    <version>1.0-SNAPSHOT</version>
</dependency>

<dependency>
    <groupId>com.google.code.gson</groupId>
    <artifactId>gson</artifactId>
</dependency>

// 自定义异常处理器，捕获错误日志
@Slf4j
public class ConsumerExceptionHandler implements Thread.UncaughtExceptionHandler {
   @Override
   public void uncaughtException(Thread t, Throwable e) {
        log.error(e.getMessage(), e);
   }
}

// 任务失败策略
@Slf4j
class ConsumerThreadPoolExecutor extends ThreadPoolExecutor {
   ConsumerThreadPoolExecutor(int corePoolSize,
                        int maximumPoolSize,
                        long keepAliveTime,
                        TimeUnit unit,
                        BlockingQueue<Runnable> workQueue,
                        ThreadFactory threadFactory,
                        RejectedExecutionHandler rejectedExecutionHandler) {
      super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, threadFactory, rejectedExecutionHandler);
   }
   @Override
   protected void afterExecute(Runnable r, Throwable t) {
      super.afterExecute(r, t);
      //若线程执行某任务失败了，重新提交该任务
      if (t != null) {
         log.error("restart kafka consumer task for {}", (Object) t.getStackTrace());
      }
      execute(r);
   }
}

@Data
@Component
@Slf4j
public class KafkaConsumerConfig {
    // 线程池维护线程的最少数量
    @Value(value = "${kafka.core-pool-size:20}")
    private int corePoolSize;
    // 线程池维护线程的最大数量
    @Value(value = "${kafka.max-pool-size:20}")
    private int maxPoolSize;
    // 线程池维护线程所允许的空闲时间
    @Value(value = "${kafka.keep-alive-time:0}")
    private int keepAliveTime;
    // 线程池所使用的缓冲队列大小
    @Value(value = "${kafka.work-queue-size:0}")
    private int workQueueSize;
   // 统一存放kafka客户端的map
   @Bean
   public Map<String, KafkaConsumerRunnable> globalKafkaConsumerThreadMap() {
      return Maps.newConcurrentMap();
   }
    
    @Bean(name = "defaultThreadPool")
    public ThreadPoolExecutor defaultThreadPool() {
       // 使用google线程工厂 线程挂掉重启策略
      ConsumerExceptionHandler exceptionHandler = new ConsumerExceptionHandler();
      ThreadFactory threadFactory = new ThreadFactoryBuilder().setNameFormat("kafka-consumer-%d")
         .setUncaughtExceptionHandler(exceptionHandler).build();
      return new ConsumerThreadPoolExecutor(
         corePoolSize,                                
         maxPoolSize,                                  
         keepAliveTime,                                
         TimeUnit.SECONDS,
         new LinkedBlockingDeque<>(maxPoolSize),
         threadFactory,
         new ThreadPoolExecutor.CallerRunsPolicy()
      );
    }
}