Java向ES库中插入数据报错:I/O reactor status: STOPPED

Java向ES库中插入数据报错:java.lang.IllegalStateException: Request cannot be executed; I/O reactor status: STO

  • 一、问题
    • 问题原因
    • 二、解决思路

      一、问题

      在使用Java向ES库中插入数据时,第一次成功插入,第二次出现以下错误:

      java.lang.IllegalStateException: Request cannot be executed; I/O reactor status: STOPPED at

      问题原因

      这里显示是连接中断,第一次遇到这个问题,比较疑惑为什么es的客户端会中断,理论上es client 是长连接,不停的有数据写入,连接一致存在,除非有服务端异常。在elasticsearch服务端查看日志,没有任何异常信息。

      网上搜索错误信息原来是 Apache HTTPComponents 异步客户端问题。es官网有个issues详细的记录的这个问题的原因和修复建议。

      官方的意见是 Apache HTTPComponents 异步客户端 使用了一个内部的I/O reactor 分发IO event。在某些情况下,IO reactor会记录程序调用栈中的异常或者Java NOI库中的异常,如果这些异常不被处理,I/O reactor会直接关闭,es client不可用,此时只能重启服务。es client中试图增加一个默认的 I/O reactor 异常处理逻辑但是在做了一些尝试后发现捕获I/O reactor后会导致SSL中断。而HTTPComponents 在版本5中已经修复了这个问题,最终官网给的建议是等待版本升级。

      二、解决思路

      解决问题的过程中参考了以下文档:

      https://www.cnblogs.com/yangchongxing/p/15440197.html

      https://github.com/elastic/elasticsearch/issues/42133

      https://zhuanlan.zhihu.com/p/384269417

      https://cloud.tencent.com/developer/article/1806886

      主要获得解决方法的是以下:

      https://github.com/elastic/elasticsearch/issues/39946

      主要引用以下:

      大概意思是说:

      在每个线程需要时创建一个新的客户端,并在方法结束时关闭。这就解决了问题。

      结合GPT获取解决方案:

      import java.util.concurrent.Executors;
      import java.util.concurrent.ExecutorService;
      public class EsClientManager { private final ExecutorService executorService = Executors.newFixedThreadPool(10);
          private final ThreadLocal CLIENT_THREAD_LOCAL = ThreadLocal.withInitial(() -> { RestHighLevelClient client = null;
              try { client = RestHighLevelClient.builder(new HttpHost("localhost", 9200, "http")).build();
                  return client;
              } catch (IOException e) { e.printStackTrace();
                  return null;
              }
          });
          public RestHighLevelClient getClient() { return CLIENT_THREAD_LOCAL.get();
          }
          public void closeClient(RestHighLevelClient client) { CLIENT_THREAD_LOCAL.remove();
              if (client != null) { executorService.execute(() -> { try { client.close();
                      } catch (IOException e) { e.printStackTrace();
                      }
                  });
              }
          }
      }
      

      在使用时,同样可以这样:

      public class MyService { public void someMethod() { RestHighLevelClient client = EsClientManager.getClient();
              try { // 执行操作
              } finally { EsClientManager.closeClient(client);
              }
          }
      }
      

      这样,每个线程都会从EsClientManager获取一个客户端,并在方法结束时自动关闭。

      线程池不允许使用 Executors 去创建,而是通过 ThreadPoolExecutor 的方式,进一步,优化:

      import java.util.concurrent.ExecutorService;
      import java.util.concurrent.Executors;
      import java.util.concurrent.ThreadPoolExecutor;
      import java.util.concurrent.TimeUnit;
      import java.util.concurrent.LinkedBlockingQueue;
      public class EsClientManager { private final ExecutorService executorService;
          private final ThreadLocal CLIENT_THREAD_LOCAL = ThreadLocal.withInitial(() -> { RestHighLevelClient client = null;
              try { client = RestHighLevelClient.builder(new HttpHost("localhost", 9200, "http")).build();
                  return client;
              } catch (IOException e) { e.printStackTrace();
                  return null;
              }
          });
          public EsClientManager() { // 配置 ThreadPoolExecutor
              int corePoolSize = 10; // 核心线程数
              int maximumPoolSize = 10; // 最大线程数
              long keepAliveTime = 0L; // 空闲线程等待新任务的最长时间
              TimeUnit unit = TimeUnit.MILLISECONDS; // keepAliveTime的时间单位
              int queueCapacity = 100; // 工作队列的容量
              ThreadPoolExecutor executor = new ThreadPoolExecutor(
                  corePoolSize,
                  maximumPoolSize,
                  keepAliveTime,
                  unit,
                  new LinkedBlockingQueue<>(queueCapacity), // 工作队列
                  runnable -> { Thread thread = new Thread(runnable);
                      thread.setDaemon(false); // 设置线程是否为守护线程,false表示非守护线程
                      return thread;
                  }
              );
              this.executorService = Executors.unconfigurableExecutorService(executor);
          }
          public RestHighLevelClient getClient() { return CLIENT_THREAD_LOCAL.get();
          }
          public void closeClient(RestHighLevelClient client) { CLIENT_THREAD_LOCAL.remove();
              if (client != null) { executorService.execute(() -> { try { client.close();
                      } catch (IOException e) { e.printStackTrace();
                      }
                  });
              }
          }
          // 添加方法以允许关闭executorService
          public void shutdown() { executorService.shutdown();
          }
          public boolean isShutdown() { return executorService.isShutdown();
          }
          public boolean isTerminated() { return executorService.isTerminated();
          }
      }