在使用rocketmq以前使用了rabbitmq,會出現丟消息的狀況,進而果斷放棄,繼續投入到大Java的懷抱,不過也遇到了一些問題,這裏總結一下:java
使用過程當中新加節點須要手動建立topic多線程
消費者處理不合理,不能實現負載均衡負載均衡
針對第二點:我以前一直使用的是pull方式,按順序來消費,一旦程序重啓則從頭一個一個消費,顯然這種效率很低,
並且由於一個代碼問題,若是我在offsize = 0的狀況獲取不了數據,則min offsize不增加,這種狀況致使若是數據隔天了則不能消費,這時候消費者至關於在空跑。fetch
List<MessageVo> msgList = new ArrayList<MessageVo>(); try { Set<MessageQueue> mqs = consumer.fetchSubscribeMessageQueues(queueName); for (MessageQueue mq : mqs) { System.out.printf("Consume from the queue: " + mq + "%n"); try { PullResult pullResult = consumer.pullBlockIfNotFound(mq, null, getMessageQueueOffset(mq), 32); if (pullResult != null) { putMessageQueueOffset(mq, pullResult.getNextBeginOffset()); switch (pullResult.getPullStatus()) { case FOUND: if (pullResult.getMsgFoundList() != null && pullResult.getMsgFoundList().size() > 0) { for (MessageExt messageExt : pullResult.getMsgFoundList()) { msgList.add(new MessageVo(messageExt.getMsgId(), messageExt.getBody())); } } break; case NO_MATCHED_MSG: break; case NO_NEW_MSG: break; case OFFSET_ILLEGAL: break; default: break; } } } catch (Exception e) { e.printStackTrace(); }
使用這種方法能夠穩定的pull出數據,可是這種狀況效率很低。url
使用多線程方式:線程
private Queue<List<MessageVo>> messageQueue = new LinkedBlockingQueue<List<MessageVo>>(); DefaultMQPullConsumer consumer = new DefaultMQPullConsumer(groupName); consumer.setNamesrvAddr(url); scheduleService = new MQPullConsumerScheduleService(groupName); scheduleService.setMessageModel(MessageModel.CLUSTERING); scheduleService.setDefaultMQPullConsumer(consumer); List<MessageVo> msgList = new ArrayList<MessageVo>(); try { Set<MessageQueue> mqs = consumer.fetchSubscribeMessageQueues(queueName); for (MessageQueue mq : mqs) { System.out.printf("Consume from the queue: " + mq + "%n"); try { PullResult pullResult = consumer.pullBlockIfNotFound(mq, null, getMessageQueueOffset(mq), 32); if (pullResult != null) { putMessageQueueOffset(mq, pullResult.getNextBeginOffset()); switch (pullResult.getPullStatus()) { case FOUND: if (pullResult.getMsgFoundList() != null && pullResult.getMsgFoundList().size() > 0) { for (MessageExt messageExt : pullResult.getMsgFoundList()) { msgList.add(new MessageVo(messageExt.getMsgId(), messageExt.getBody())); } } break; case NO_MATCHED_MSG: break; case NO_NEW_MSG: break; case OFFSET_ILLEGAL: break; default: break; } } } catch (Exception e) { e.printStackTrace(); } List<MessageVo> msgList = new ArrayList<MessageVo>(); try { Set<MessageQueue> mqs = consumer.fetchSubscribeMessageQueues(queueName); for (MessageQueue mq : mqs) { System.out.printf("Consume from the queue: " + mq + "%n"); try { PullResult pullResult = consumer.pullBlockIfNotFound(mq, null, getMessageQueueOffset(mq), 32); if (pullResult != null) { putMessageQueueOffset(mq, pullResult.getNextBeginOffset()); switch (pullResult.getPullStatus()) { case FOUND: if (pullResult.getMsgFoundList() != null && pullResult.getMsgFoundList().size() > 0) { for (MessageExt messageExt : pullResult.getMsgFoundList()) { msgList.add(new MessageVo(messageExt.getMsgId(), messageExt.getBody())); } } break; case NO_MATCHED_MSG: break; case NO_NEW_MSG: break; case OFFSET_ILLEGAL: break; default: break; } } } catch (Exception e) { e.printStackTrace(); }
經過回調的方式來定時調用。這種方式是多線程來實現的。code
使用這種方式不能部署兩個程序,由於會致使groupName衝突 rabbitmq