在使用rocketmq之前使用了rabbitmq,会出现丢消息的情况,进而果断放弃,继续投入到大Java的怀抱,不过也遇到了一些问题,这里总结一下:
使用过程中新加节点需要手动创建topic
消费者处理不合理,不能实现负载均衡
针对第二点:我之前一直使用的是pull方式,按顺序来消费,一旦程序重启则从头一个一个消费,显然这种效率很低,
而且因为一个代码问题,如果我在offsize = 0的情况获取不了数据,则min offsize不增长,这种情况导致如果数据隔天了则不能消费,这时候消费者相当于在空跑。
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();
}
使用这种方法可以稳定的pull出数据,但是这种情况效率很低。
使用多线程方式:
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();
}
通过回调的方式来定时调用。这种方式是多线程来实现的。
使用这种方式不能部署两个程序,因为会导致groupName冲突
**粗体** _斜体_ [链接](http://example.com) `代码` - 列表 > 引用
。你还可以使用@
来通知其他用户。