分页:即获取部分数据,queue按页从message cursor读取消息,然后分发给consumer。

页大小:

public abstract class BaseDestination implements Destination {
/**
* The maximum number of messages to page in to the destination from
* persistent storage
*/
public static final int MAX_PAGE_SIZE = 200;
}

存放分页消息的数据结构:

public class Queue extends BaseDestination implements Task, UsageListener {
// message cursor,可视为消息的数据源
protected PendingMessageCursor messages;
// 所有的分页消息
private final PendingList pagedInMessages = new OrderedPendingList();
// 剩余的没有dispatch的分页消息
protected PendingList pagedInPendingDispatch = new OrderedPendingList();
}

把消息添加到分页中:

protected void pageInMessages(boolean force) throws Exception {
doDispatch(doPageInForDispatch(force, true));
}
 private PendingList doPageInForDispatch(boolean force, boolean processExpired) throws Exception {
List<QueueMessageReference> result = null;
PendingList resultList = null; // 根据maxPageSize和message cursor中的大小,决定需要读取的消息数量
int toPageIn = Math.min(getMaxPageSize(), messages.size());
int pagedInPendingSize = 0;
pagedInPendingDispatchLock.readLock().lock();
try {
pagedInPendingSize = pagedInPendingDispatch.size();
} finally {
pagedInPendingDispatchLock.readLock().unlock();
} LOG.debug("{} toPageIn: {}, Inflight: {}, pagedInMessages.size {}, pagedInPendingDispatch.size {}, enqueueCount: {}, dequeueCount: {}, memUsage:{}",
new Object[]{
destination.getPhysicalName(),
toPageIn,
destinationStatistics.getInflight().getCount(),
pagedInMessages.size(),
pagedInPendingSize,
destinationStatistics.getEnqueues().getCount(),
destinationStatistics.getDequeues().getCount(),
getMemoryUsage().getUsage()
});
if (isLazyDispatch() && !force) {
// Only page in the minimum number of messages which can be
// dispatched immediately.
toPageIn = Math.min(getConsumerMessageCountBeforeFull(), toPageIn);
}
if (toPageIn > 0 && (force || (!consumers.isEmpty() && pagedInPendingSize < getMaxPageSize()))) {
int count = 0;
result = new ArrayList<QueueMessageReference>(toPageIn);
messagesLock.writeLock().lock();
try {
try {
messages.setMaxBatchSize(toPageIn);
messages.reset();
while (messages.hasNext() && count < toPageIn) {
MessageReference node = messages.next();
messages.remove(); QueueMessageReference ref = createMessageReference(node.getMessage());
if (processExpired && ref.isExpired()) {
if (broker.isExpired(ref)) {
messageExpired(createConnectionContext(), ref);
} else {
ref.decrementReferenceCount();
}
} else {
// 添加QueueMessageReference到result中
result.add(ref);
count++;
}
}
} finally {
messages.release();
}
} finally {
messagesLock.writeLock().unlock();
}
// Only add new messages, not already pagedIn to avoid multiple
// dispatch attempts
pagedInMessagesLock.writeLock().lock();
try {
if(isPrioritizedMessages()) {
resultList = new PrioritizedPendingList();
} else {
resultList = new OrderedPendingList();
}
for (QueueMessageReference ref : result) {
if (!pagedInMessages.contains(ref)) {
//分别添加QueueMessageReference到 pagedInMessages 和 resultList
//resultList作为返回值,直接传递给doDispatch(PendingList list),
//在doDispatch中,分发给消费者后,就会从 resultList 中删除,
pagedInMessages.addMessageLast(ref);
resultList.addMessageLast(ref);
} else {
ref.decrementReferenceCount();
// store should have trapped duplicate in it's index, also cursor audit
// we need to remove the duplicate from the store in the knowledge that the original message may be inflight
// note: jdbc store will not trap unacked messages as a duplicate b/c it gives each message a unique sequence id
LOG.warn("{}, duplicate message {} paged in, is cursor audit disabled? Removing from store and redirecting to dlq", this, ref.getMessage());
if (store != null) {
ConnectionContext connectionContext = createConnectionContext();
store.removeMessage(connectionContext, new MessageAck(ref.getMessage(), MessageAck.POSION_ACK_TYPE, 1));
broker.getRoot().sendToDeadLetterQueue(connectionContext, ref.getMessage(), null, new Throwable("duplicate paged in from store for " + destination));
}
}
}
} finally {
pagedInMessagesLock.writeLock().unlock();
}
} else {
// Avoid return null list, if condition is not validated
resultList = new OrderedPendingList();
} return resultList;
} //分发消息
private void doDispatch(PendingList list) throws Exception {
boolean doWakeUp = false; pagedInPendingDispatchLock.writeLock().lock();
try {
//存在需要重新发送的消息
if (!redeliveredWaitingDispatch.isEmpty()) {
// Try first to dispatch redelivered messages to keep an
// proper order
redeliveredWaitingDispatch = doActualDispatch(redeliveredWaitingDispatch);
}
//存在没有分发的分页消息
if (!pagedInPendingDispatch.isEmpty()) {
// Next dispatch anything that had not been
// dispatched before.
pagedInPendingDispatch = doActualDispatch(pagedInPendingDispatch);
}
// and now see if we can dispatch the new stuff.. and append to
// the pending
// list anything that does not actually get dispatched.
if (list != null && !list.isEmpty()) {
if (pagedInPendingDispatch.isEmpty()) {
//doActualDispatch进行实际的分发消息:
//分发给消费者的消息,会从list中删除,list中保存剩下的消息,doActualDispatch返回list
pagedInPendingDispatch.addAll(doActualDispatch(list));
} else {
for (MessageReference qmr : list) {
if (!pagedInPendingDispatch.contains(qmr)) {
pagedInPendingDispatch.addMessageLast(qmr);
}
}
doWakeUp = true;
}
}
} finally {
pagedInPendingDispatchLock.writeLock().unlock();
} if (doWakeUp) {
// avoid lock order contention
asyncWakeup();
}
} // 实际分发消息
private PendingList doActualDispatch(PendingList list) throws Exception {
List<Subscription> consumers;
consumersLock.writeLock().lock(); try {
if (this.consumers.isEmpty()) {
// slave dispatch happens in processDispatchNotification
return list;
}
consumers = new ArrayList<Subscription>(this.consumers);
} finally {
consumersLock.writeLock().unlock();
} Set<Subscription> fullConsumers = new HashSet<Subscription>(this.consumers.size()); for (Iterator<MessageReference> iterator = list.iterator(); iterator.hasNext();) { MessageReference node = iterator.next();
Subscription target = null;
for (Subscription s : consumers) {
if (s instanceof QueueBrowserSubscription) {
continue;
}
if (!fullConsumers.contains(s)) {
if (!s.isFull()) {
if (dispatchSelector.canSelect(s, node) && assignMessageGroup(s, (QueueMessageReference)node) && !((QueueMessageReference) node).isAcked() ) {
// Dispatch it.
s.add(node);
LOG.trace("assigned {} to consumer {}", node.getMessageId(), s.getConsumerInfo().getConsumerId());
//从list中删除
iterator.remove();
target = s;
break;
}
} else {
// no further dispatch of list to a full consumer to
// avoid out of order message receipt
fullConsumers.add(s);
LOG.trace("Subscription full {}", s);
}
}
} if (target == null && node.isDropped()) {
iterator.remove();
} // return if there are no consumers or all consumers are full
if (target == null && consumers.size() == fullConsumers.size()) {
return list;
} // If it got dispatched, rotate the consumer list to get round robin
// distribution.
if (target != null && !strictOrderDispatch && consumers.size() > 1
&& !dispatchSelector.isExclusiveConsumer(target)) {
consumersLock.writeLock().lock();
try {
if (removeFromConsumerList(target)) {
addToConsumerList(target);
consumers = new ArrayList<Subscription>(this.consumers);
}
} finally {
consumersLock.writeLock().unlock();
}
}
} return list;
}

ActiveMQ queue 分页的更多相关文章

  1. ActiveMQ Queue vs Topic vs VirtualTopic

    之前写过一篇文章讨论VirtualTopic,但觉得不够透彻,这里再根据实验结果进行一次横向对比破除模糊和选择困难症. 文章中核心对比要素是:消息副本和负载均衡 Queue的特点和优势 ActiveM ...

  2. ActiveMQ queue和topic,持久订阅和非持久订阅

    消息的 destination 分为 queue 和 topic,而消费者称为 subscriber(订阅者).queue 中的消息只会发送给一个订阅者,而 topic 的消息,会发送给每一个订阅者. ...

  3. ActiveMQ queue 代码示例

    生产者: package com.111.activemq; import javax.jms.Connection; import javax.jms.ConnectionFactory; impo ...

  4. ActiveMQ Queue示例

    一.Queue 发送 public class JmsSend { public static void main(String[] args) throws JMSException { Conne ...

  5. spring整合activemq发送MQ消息[queue模式]实例

    queue类型消息 pom依赖 <dependency> <groupId>junit</groupId> <artifactId>junit</ ...

  6. Spring整合ActiveMQ及多个Queue消息监听的配置

        消息队列(MQ)越来越火,在java开发的项目也属于比较常见的技术,MQ的相关使用也成java开发人员必备的技能.笔者公司采用的MQ是ActiveMQ,且消息都是用的点对点的模式.本文记录了实 ...

  7. ActiveMQ发消息和收消息

    来自:http://blog.163.com/chengwei_1104/blog/static/53645274201382315625329/ ActiveMQ 是Apache出品,最流行的,能力 ...

  8. ActiveMQ, RabbitMQ和ZeroMQ 选型关注点

    选择MQ时,主要关注的特性,可能就以下几个: 通信模式(是否满足业务场景): ActiveMQ: queue(producer/consumer), topic(publisher/subsriber ...

  9. ActiveMQ:使用Python访问ActiveMQ

    Windows 10家庭中文版,Python 3.6.4,stomp.py 4.1.21 ActiveMQ支持Python访问,提供了基于STOMP协议(端口为61613)的库. ActiveMQ的官 ...

随机推荐

  1. hdu 3861 The King’s Problem trajan缩点+二分图匹配

    The King’s Problem Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Other ...

  2. 四: 使用vue搭建网站前端页面

    ---恢复内容开始--- 在搭建路由项目的时候的基本步骤 一:创建项目 安装好vue 搭好环境 (步骤在上篇博客中) 进入项目目录      cd   目录路径/ 目录名 创建项目          ...

  3. 从DFS到记忆化DFS到动态规划

    什么是动态规划? 动态规划(Dynamic Programming)是通过组合子问题的解来解决问题的.动态规划是用于求解包含重叠子问题的最优化问题的方法.其基本思想是,将原问题分解为相似的子问题.在求 ...

  4. 00-python-内置函数笔记

    01.enumerate()函数用于将一个可遍历的数据对象(如 列表.元组或字符串)组合为一个索引序列,同时列出数据和数据包下标,一般用在for循环中 for i, element in enumer ...

  5. lua --- unpack

    unpack 返回数组中的所有元素,包括 nil,注意是数组,对于 k-v 是不返回的!!! do , ,o = } print(unpack(tab)) --默认从索引 1 开始 )) --从索引 ...

  6. C#读取text内容并且于testbox中展现 保留换行实现方法

    直接上代码 //新建一个储存的list List<string> listLines = new List<string>(); StreamReader sr = new S ...

  7. 雷林鹏分享: XML CDATA

    XML CDATA XML 文档中的所有文本均会被解析器解析. 只有 CDATA 区段中的文本会被解析器忽略. PCDATA - 被解析的字符数据 XML 解析器通常会解析 XML 文档中所有的文本. ...

  8. linux 如何释放缓存

    操作: 同步 sync 释放所有缓存 echo 3 > /proc/sys/vm/drop_caches 原理: sync 将所有未写的系统缓冲区写到磁盘中,包含已修改的 i-node.已延迟的 ...

  9. English trip EM2-PE-6A Family Relationship Teacher:Taylor

    课上内容(Lesson) What's your name? Where is your hometown?  你的家乡是哪里? Where do you come from?    你从哪里来?  ...

  10. Python3之JSON数据解析实例:新闻头条 --Python3

    一.接口相关 数据服务商:聚合数据(https://www.juhe.cn/) API部分文档: 完整API文档下载:https://files.cnblogs.com/files/qikeyishu ...