精华内容
下载资源
问答
  • Elasticsearch的使用场景深入详解

    万次阅读 多人点赞 2016-08-17 08:40:56
    了解了ES的使用场景,ES的研究、使用、推广才更有价值和意义。1、场景—:使用Elasticsearch作为主要的后端传统项目中,搜索引擎是部署在成熟的数据存储的顶部,以提供快速且相关的搜索能力。这是因为早期的搜索引擎...

    Elasticsearch 最少必要知识实战教程直播回放

    了解了ES的使用场景,ES的研究、使用、推广才更有价值和意义。

    #1、场景—:使用Elasticsearch作为主要的后端
    传统项目中,搜索引擎是部署在成熟的数据存储的顶部,以提供快速且相关的搜索能力。这是因为早期的搜索引擎不能提供耐用的​​存储或其他经常需要的功能,如统计。
    这里写图片描述
    Elasticsearch是提供持久存储、统计等多项功能的现代搜索引擎。
    如果你开始一个新项目,我们建议您考虑使用Elasticsearch作为唯一的数据存储,以帮助保持你的设计尽可能简单。
    此种场景不支持包含频繁更新、事务(transaction)的操作。

    举例如下:新建一个博客系统使用es作为存储。
    1)我们可以向ES提交新的博文;
    2)使用ES检索、搜索、统计数据。

    ES作为存储的优势:
    如果一台服务器出现故障时会发生什么?你可以通过复制 数据到不同的服务器以达到容错的目的。
    注意:
    整体架构设计时,需要我们权衡是否有必要增加额外的存储。

    #2、场景二:在现有系统中增加elasticsearch
    由于ES不能提供存储的所有功能,一些场景下需要在现有系统数据存储的基础上新增ES支持。
    这里写图片描述
    举例1:ES不支持事务、复杂的关系(至少1.X版本不支持,2.X有改善,但支持的仍然不好),如果你的系统中需要上述特征的支持,需要考虑在原有架构、原有存储的基础上的新增ES的支持。

    举例2:如果你已经有一个在运行的复杂的系统,你的需求之一是在现有系统中添加检索服务。一种非常冒险的方式是重构系统以支持ES。而相对安全的方式是:将ES作为新的组件添加到现有系统中。
    如果你使用了如下图所示的SQL数据库和ES存储,你需要找到一种方式使得两存储之间实时同步。需要根据数据的组成、数据库选择对应的同步插件。可供选择的插件包括:
    1)mysql、oracle选择 logstash-input-jdbc 插件。
    2)mongo选择 mongo-connector工具。

    假设你的在线零售商店的产品信息存储在SQL数据库中。 为了快速且相关的搜索,你安装Elasticsearch。
    为了索引数据,您需要部署一个同步机制,该同步机制可以是Elasticsearch插件或你建立一个自定义的服务。此同步机制可以将对应于每个产品的所有数据和索引都存储在Elasticsearch,每个产品作为一个document存储(这里的document相当于关系型数据库中的一行/row数据)。

    当在该网页上的搜索条件中输入“用户的类型”,店面网络应用程序通过Elasticsearch查询该信息。 Elasticsearch返回符合标准的产品documents,并根据你喜欢的方式来分类文档。 排序可以根据每个产品的被搜索次数所得到的相关分数,或任何存储在产品document信息,例如:最新最近加入的产品、平均得分,或者是那些插入或更新信息。 所以你可以只使用Elasticsearch处理搜索。这取决于同步机制来保持Elasticsearch获取最新变化。

    #3、场景三:使用elasticsearch和现有的工具
    在一些使用情况下,您不必写一行代码就能通过elasticssearch完成一项工作。很多工具都可以与Elasticsearch一起工作,所以你不必到你从头开始编写。
    例如,假设要部署一个大规模的日志框架存储,搜索,并分析了大量的事件。
    如图下图,处理日志和输出到Elasticsearch,您可以使用日志记录工具,如rsyslog(www.rsyslog.com),Logstash(www.elastic.co/products/logstash),或Apache Flume(http://flume.apache.org)。
    搜索和可视化界面分析这些日志,你可以使用Kibana(www.elastic.co/产品/ kibana)。
    这里写图片描述
    ##为什么那么多工具适配Elasticsearch?主要原因如下:
    1)Elasticsearch是开源的。
    2)Elasticsearch提供了JAVA API接口。
    3)Elasticsearch提供了RESTful API接口(不管程序用什么语言开发,任何程序都可以访问)
    4)更重要的是,REST请求和应答是典型的JSON(JavaScript对象 符号)格式。通常情况下,一个REST请求包含一个JSON文件,其回复都 也是一个JSON文件。

    ——————————————————————————————————
    更多ES相关实战干货经验分享,请扫描下方【铭毅天下】微信公众号二维码关注。
    (每周至少更新一篇!)

    这里写图片描述
    和你一起,死磕Elasticsearch
    ——————————————————————————————————

    作者:铭毅天下
    转载请标明出处,原文地址:
    http://blog.csdn.net/laoyang360/article/details/52227541
    如果感觉本文对您有帮助,请点击‘顶’支持一下,您的支持是我坚持写作最大的动力,谢谢!

    展开全文
  • class Singleton { //1. 构造器私有化, 外部能new private Singleton() {} //2.... private static Singleton instance; ... static { // 在静态代码块中,创建单例对象 instance = new Singleton();...
  • P7-前端基础-图片展示及各种格式使用场景 1.概述 图片标签用于向当前页面中引入一个外部图片,在网页中展示。 2.图片标签使用以及各种格式图片介绍 <!DOCTYPE html> <html> <head> <meta ...

    P7-前端基础-图片展示及各种格式使用场景

    1.概述

    图片标签用于向当前页面中引入一个外部图片,在网页中展示。

    2.图片标签使用以及各种格式图片介绍

    <!DOCTYPE html>
    <html>
    
    <head>
      <meta charset="UTF-8">
      <title>图片标签</title>
    </head>
    
    <body>
      <!-- 
            图片标签用于向当前页面中引入一个外部图片
             使用img标签来引入外部图片,img标签是一个自结束标签
             img这种元素属于替换元素(块和行内元素之间,具有两种元素的特点)
             属性:
                src 属性指定的是外部图片的路径(路径规则和超链接是一样的)
    
                alt 图片的描述,这个描述默认情况下不会显示,有些浏览器会图片无法加载时显示
                    搜索引擎会根据alt中的内容来识别图片,如果不写alt属性则图片不会被搜索引擎所收录
    
                width 图片的宽度 (单位是像素)
                height 图片的高度    
                    - 宽度和高度中如果只修改了一个,则另一个会等比例缩放
    
                注意:
                    一般情况在pc端,不建议修改图片的大小,需要多大的图片就裁多大
                    但是在移动端,经常需要对图片进行缩放(大图缩小)
    
    
            图片的格式:
                jpeg(jpg)
                    - 支持的颜色比较丰富,不支持透明效果,不支持动图
                    - 一般用来显示照片
                gif
                    - 支持的颜色比较少,支持简单透明,支持动图
                    - 颜色单一的图片,动图
                png
                    - 支持的颜色丰富,支持复杂透明,不支持动图
                    - 颜色丰富,复杂透明图片(专为网页而生)
                webp
                    - 这种格式是谷歌新推出的专门用来表示网页中的图片的一种格式
                    - 它具备其他图片格式的所有优点,而且文件还特别的小
                    - 缺点:兼容性不好
    
                base64 
                    - 将图片使用base64编码,这样可以将图片转换为字符,通过字符的形式来引入图片    
                    - 一般都是一些需要和网页一起加载的图片才会使用base64
    
                效果一样,用小的
                效果不一样,用效果好的
    
    
    
         -->
       
      <!-- 引用本地图片    -->
      <img src="./img/1.gif" alt="松鼠">
    
      <!-- 引用网站图片 -->
      <img width="200" src="https://d2ggl082rr1mkp.cloudfront.net/category/IronMan_preview_1521810286_220_310.jpeg"
        alt="钢铁侠">
      
        <!-- 使用base64转码图片 -->
      <img
        src="data:image/jpeg;base64,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"
        alt="">
      <img
        src="data:image/jpg;base64,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"
        alt="">
    </body>
    
    </html>
    

    2.1.base64编码图片生成方式

    base64图片生成非常简单,可以在网站上搜索base64图片转换工具。上传图片就会自动生成base64编码

    2.2.图片展示效果

    在这里插入图片描述

    展开全文
  • 消息队列的使用场景

    万次阅读 多人点赞 2016-03-04 10:26:20
    一、消息队列概述 消息队列中间件是分布式系统中重要的组件,主要解决应用耦合,异步消息,流量削锋等问题。实现高性能,高可用,可伸缩和最终一致性...二、消息队列应用场景 以下介绍消息队列在实际应用中常用的使用

    一、消息队列概述

    消息队列中间件是分布式系统中重要的组件,主要解决应用耦合,异步消息,流量削锋等问题。实现高性能,高可用,可伸缩和最终一致性架构。是大型分布式系统不可缺少的中间件。

    目前在生产环境,使用较多的消息队列有ActiveMQ,RabbitMQ,ZeroMQ,Kafka,MetaMQ,RocketMQ等。

    二、消息队列应用场景

    以下介绍消息队列在实际应用中常用的使用场景。异步处理,应用解耦,流量削锋和消息通讯四个场景。

    2.1异步处理

    场景说明:用户注册后,需要发注册邮件和注册短信。传统的做法有两种1.串行的方式;2.并行方式。

    (1)串行方式:将注册信息写入数据库成功后,发送注册邮件,再发送注册短信。以上三个任务全部完成后,返回给客户端。(架构KKQ:466097527,欢迎加入)

     

    (2)并行方式:将注册信息写入数据库成功后,发送注册邮件的同时,发送注册短信。以上三个任务完成后,返回给客户端。与串行的差别是,并行的方式可以提高处理的时间。

     

    假设三个业务节点每个使用50毫秒钟,不考虑网络等其他开销,则串行方式的时间是150毫秒,并行的时间可能是100毫秒。

    因为CPU在单位时间内处理的请求数是一定的,假设CPU1秒内吞吐量是100次。则串行方式1秒内CPU可处理的请求量是7次(1000/150)。并行方式处理的请求量是10次(1000/100)。

     

    小结:如以上案例描述,传统的方式系统的性能(并发量,吞吐量,响应时间)会有瓶颈。如何解决这个问题呢?

    引入消息队列,将不是必须的业务逻辑,异步处理。改造后的架构如下:

     

    按照以上约定,用户的响应时间相当于是注册信息写入数据库的时间,也就是50毫秒。注册邮件,发送短信写入消息队列后,直接返回,因此写入消息队列的速度很快,基本可以忽略,因此用户的响应时间可能是50毫秒。因此架构改变后,系统的吞吐量提高到每秒20 QPS。比串行提高了3倍,比并行提高了两倍。

    2.2应用解耦

    场景说明:用户下单后,订单系统需要通知库存系统。传统的做法是,订单系统调用库存系统的接口。如下图:(架构KKQ:466097527,欢迎加入)

     

    传统模式的缺点:

    1)  假如库存系统无法访问,则订单减库存将失败,从而导致订单失败;

    2)  订单系统与库存系统耦合;

    如何解决以上问题呢?引入应用消息队列后的方案,如下图:

     

    • 订单系统:用户下单后,订单系统完成持久化处理,将消息写入消息队列,返回用户订单下单成功。
    • 库存系统:订阅下单的消息,采用拉/推的方式,获取下单信息,库存系统根据下单信息,进行库存操作。
    • 假如:在下单时库存系统不能正常使用。也不影响正常下单,因为下单后,订单系统写入消息队列就不再关心其他的后续操作了。实现订单系统与库存系统的应用解耦。

    2.3流量削锋

    流量削锋也是消息队列中的常用场景,一般在秒杀或团抢活动中使用广泛。

    应用场景:秒杀活动,一般会因为流量过大,导致流量暴增,应用挂掉。为解决这个问题,一般需要在应用前端加入消息队列。

    1. 可以控制活动的人数;
    2. 可以缓解短时间内高流量压垮应用;

     

    1. 用户的请求,服务器接收后,首先写入消息队列。假如消息队列长度超过最大数量,则直接抛弃用户请求或跳转到错误页面;
    2. 秒杀业务根据消息队列中的请求信息,再做后续处理。

    2.4日志处理

    日志处理是指将消息队列用在日志处理中,比如Kafka的应用,解决大量日志传输的问题。架构简化如下:(架构KKQ:466097527,欢迎加入)

     

    • 日志采集客户端,负责日志数据采集,定时写受写入Kafka队列;
    • Kafka消息队列,负责日志数据的接收,存储和转发;
    • 日志处理应用:订阅并消费kafka队列中的日志数据;

    以下是新浪kafka日志处理应用案例:

    转自(http://cloud.51cto.com/art/201507/484338.htm)

     

    (1)Kafka:接收用户日志的消息队列。

    (2)Logstash:做日志解析,统一成JSON输出给Elasticsearch。

    (3)Elasticsearch:实时日志分析服务的核心技术,一个schemaless,实时的数据存储服务,通过index组织数据,兼具强大的搜索和统计功能。

    (4)Kibana:基于Elasticsearch的数据可视化组件,超强的数据可视化能力是众多公司选择ELK stack的重要原因。

    2.5消息通讯

    消息通讯是指,消息队列一般都内置了高效的通信机制,因此也可以用在纯的消息通讯。比如实现点对点消息队列,或者聊天室等。

    点对点通讯:

     

    客户端A和客户端B使用同一队列,进行消息通讯。

    聊天室通讯:

     

    客户端A,客户端B,客户端N订阅同一主题,进行消息发布和接收。实现类似聊天室效果。

    以上实际是消息队列的两种消息模式,点对点或发布订阅模式。模型为示意图,供参考。

    三、消息中间件示例

    3.1电商系统

     

    消息队列采用高可用,可持久化的消息中间件。比如Active MQ,Rabbit MQ,Rocket Mq。(1)应用将主干逻辑处理完成后,写入消息队列。消息发送是否成功可以开启消息的确认模式。(消息队列返回消息接收成功状态后,应用再返回,这样保障消息的完整性)

    (2)扩展流程(发短信,配送处理)订阅队列消息。采用推或拉的方式获取消息并处理。

    (3)消息将应用解耦的同时,带来了数据一致性问题,可以采用最终一致性方式解决。比如主数据写入数据库,扩展应用根据消息队列,并结合数据库方式实现基于消息队列的后续处理。

    3.2日志收集系统

     

    分为Zookeeper注册中心,日志收集客户端,Kafka集群和Storm集群(OtherApp)四部分组成。

    • Zookeeper注册中心,提出负载均衡和地址查找服务;
    • 日志收集客户端,用于采集应用系统的日志,并将数据推送到kafka队列;
    • Kafka集群:接收,路由,存储,转发等消息处理;

    Storm集群:与OtherApp处于同一级别,采用拉的方式消费队列中的数据;

    四、JMS消息服务

    讲消息队列就不得不提JMS 。JMS(Java Message Service,Java消息服务)API是一个消息服务的标准/规范,允许应用程序组件基于JavaEE平台创建、发送、接收和读取消息。它使分布式通信耦合度更低,消息服务更加可靠以及异步性。

    在EJB架构中,有消息bean可以无缝的与JM消息服务集成。在J2EE架构模式中,有消息服务者模式,用于实现消息与应用直接的解耦。

    4.1消息模型

    在JMS标准中,有两种消息模型P2P(Point to Point),Publish/Subscribe(Pub/Sub)。

    4.1.1 P2P模式

     

    P2P模式包含三个角色:消息队列(Queue),发送者(Sender),接收者(Receiver)。每个消息都被发送到一个特定的队列,接收者从队列中获取消息。队列保留着消息,直到他们被消费或超时。

     

    P2P的特点

    • 每个消息只有一个消费者(Consumer)(即一旦被消费,消息就不再在消息队列中)
    • 发送者和接收者之间在时间上没有依赖性,也就是说当发送者发送了消息之后,不管接收者有没有正在运行,它不会影响到消息被发送到队列
    • 接收者在成功接收消息之后需向队列应答成功

     

    如果希望发送的每个消息都会被成功处理的话,那么需要P2P模式。(架构KKQ:466097527,欢迎加入)

    4.1.2 Pub/sub模式

     

    包含三个角色主题(Topic),发布者(Publisher),订阅者(Subscriber) 。多个发布者将消息发送到Topic,系统将这些消息传递给多个订阅者。

    Pub/Sub的特点

    • 每个消息可以有多个消费者
    • 发布者和订阅者之间有时间上的依赖性。针对某个主题(Topic)的订阅者,它必须创建一个订阅者之后,才能消费发布者的消息。
    • 为了消费消息,订阅者必须保持运行的状态。

     

    为了缓和这样严格的时间相关性,JMS允许订阅者创建一个可持久化的订阅。这样,即使订阅者没有被激活(运行),它也能接收到发布者的消息。

    如果希望发送的消息可以不被做任何处理、或者只被一个消息者处理、或者可以被多个消费者处理的话,那么可以采用Pub/Sub模型。

    4.2消息消费

    在JMS中,消息的产生和消费都是异步的。对于消费来说,JMS的消息者可以通过两种方式来消费消息。

    (1)同步

    订阅者或接收者通过receive方法来接收消息,receive方法在接收到消息之前(或超时之前)将一直阻塞;

    (2)异步

    订阅者或接收者可以注册为一个消息监听器。当消息到达之后,系统自动调用监听器的onMessage方法。

     

    JNDI:Java命名和目录接口,是一种标准的Java命名系统接口。可以在网络上查找和访问服务。通过指定一个资源名称,该名称对应于数据库或命名服务中的一个记录,同时返回资源连接建立所必须的信息。

    JNDI在JMS中起到查找和访问发送目标或消息来源的作用。(架构KKQ:466097527,欢迎加入)

    4.3JMS编程模型

    (1) ConnectionFactory

    创建Connection对象的工厂,针对两种不同的jms消息模型,分别有QueueConnectionFactory和TopicConnectionFactory两种。可以通过JNDI来查找ConnectionFactory对象。

    (2) Destination

    Destination的意思是消息生产者的消息发送目标或者说消息消费者的消息来源。对于消息生产者来说,它的Destination是某个队列(Queue)或某个主题(Topic);对于消息消费者来说,它的Destination也是某个队列或主题(即消息来源)。

    所以,Destination实际上就是两种类型的对象:Queue、Topic可以通过JNDI来查找Destination。

    (3) Connection

    Connection表示在客户端和JMS系统之间建立的链接(对TCP/IP socket的包装)。Connection可以产生一个或多个Session。跟ConnectionFactory一样,Connection也有两种类型:QueueConnection和TopicConnection。

    (4) Session

    Session是操作消息的接口。可以通过session创建生产者、消费者、消息等。Session提供了事务的功能。当需要使用session发送/接收多个消息时,可以将这些发送/接收动作放到一个事务中。同样,也分QueueSession和TopicSession。

    (5) 消息的生产者

    消息生产者由Session创建,并用于将消息发送到Destination。同样,消息生产者分两种类型:QueueSender和TopicPublisher。可以调用消息生产者的方法(send或publish方法)发送消息。

    (6) 消息消费者

    消息消费者由Session创建,用于接收被发送到Destination的消息。两种类型:QueueReceiver和TopicSubscriber。可分别通过session的createReceiver(Queue)或createSubscriber(Topic)来创建。当然,也可以session的creatDurableSubscriber方法来创建持久化的订阅者。

    (7) MessageListener

    消息监听器。如果注册了消息监听器,一旦消息到达,将自动调用监听器的onMessage方法。EJB中的MDB(Message-Driven Bean)就是一种MessageListener。

     

    深入学习JMS对掌握JAVA架构,EJB架构有很好的帮助,消息中间件也是大型分布式系统必须的组件。本次分享主要做全局性介绍,具体的深入需要大家学习,实践,总结,领会。

    五、常用消息队列

    一般商用的容器,比如WebLogic,JBoss,都支持JMS标准,开发上很方便。但免费的比如Tomcat,Jetty等则需要使用第三方的消息中间件。本部分内容介绍常用的消息中间件(Active MQ,Rabbit MQ,Zero MQ,Kafka)以及他们的特点。

    5.1 ActiveMQ

    ActiveMQ 是Apache出品,最流行的,能力强劲的开源消息总线。ActiveMQ 是一个完全支持JMS1.1和J2EE 1.4规范的 JMS Provider实现,尽管JMS规范出台已经是很久的事情了,但是JMS在当今的J2EE应用中间仍然扮演着特殊的地位。

    ActiveMQ特性如下:

    ⒈ 多种语言和协议编写客户端。语言: Java,C,C++,C#,Ruby,Perl,Python,PHP。应用协议: OpenWire,Stomp REST,WS Notification,XMPP,AMQP

    ⒉ 完全支持JMS1.1和J2EE 1.4规范 (持久化,XA消息,事务)

    ⒊ 对spring的支持,ActiveMQ可以很容易内嵌到使用Spring的系统里面去,而且也支持Spring2.0的特性

    ⒋ 通过了常见J2EE服务器(如 Geronimo,JBoss 4,GlassFish,WebLogic)的测试,其中通过JCA 1.5 resource adaptors的配置,可以让ActiveMQ可以自动的部署到任何兼容J2EE 1.4 商业服务器上

    ⒌ 支持多种传送协议:in-VM,TCP,SSL,NIO,UDP,JGroups,JXTA

    ⒍ 支持通过JDBC和journal提供高速的消息持久化

    ⒎ 从设计上保证了高性能的集群,客户端-服务器,点对点

    ⒏ 支持Ajax

    ⒐ 支持与Axis的整合

    ⒑ 可以很容易得调用内嵌JMS provider,进行测试

    5.2 RabbitMQ

    RabbitMQ是流行的开源消息队列系统,用erlang语言开发。RabbitMQ是AMQP(高级消息队列协议)的标准实现。支持多种客户端,如:Python、Ruby、.NET、Java、JMS、C、PHP、ActionScript、XMPP、STOMP等,支持AJAX,持久化。用于在分布式系统中存储转发消息,在易用性、扩展性、高可用性等方面表现不俗。

    结构图如下:(架构KKQ:466097527,欢迎加入)

    几个重要概念:

    Broker:简单来说就是消息队列服务器实体。

      Exchange:消息交换机,它指定消息按什么规则,路由到哪个队列。

      Queue:消息队列载体,每个消息都会被投入到一个或多个队列。

      Binding:绑定,它的作用就是把exchange和queue按照路由规则绑定起来。

      Routing Key:路由关键字,exchange根据这个关键字进行消息投递。

      vhost:虚拟主机,一个broker里可以开设多个vhost,用作不同用户的权限分离。

      producer:消息生产者,就是投递消息的程序。

      consumer:消息消费者,就是接受消息的程序。

      channel:消息通道,在客户端的每个连接里,可建立多个channel,每个channel代表一个会话任务。

    消息队列的使用过程,如下:

    (1)客户端连接到消息队列服务器,打开一个channel。

    (2)客户端声明一个exchange,并设置相关属性。

    (3)客户端声明一个queue,并设置相关属性。

    (4)客户端使用routing key,在exchange和queue之间建立好绑定关系。

    (5)客户端投递消息到exchange。

    exchange接收到消息后,就根据消息的key和已经设置的binding,进行消息路由,将消息投递到一个或多个队列里。

    5.3 ZeroMQ

    号称史上最快的消息队列,它实际类似于Socket的一系列接口,他跟Socket的区别是:普通的socket是端到端的(1:1的关系),而ZMQ却是可以N:M 的关系,人们对BSD套接字的了解较多的是点对点的连接,点对点连接需要显式地建立连接、销毁连接、选择协议(TCP/UDP)和处理错误等,而ZMQ屏蔽了这些细节,让你的网络编程更为简单。ZMQ用于node与node间的通信,node可以是主机或者是进程。

    引用官方的说法: “ZMQ(以下ZeroMQ简称ZMQ)是一个简单好用的传输层,像框架一样的一个socket library,他使得Socket编程更加简单、简洁和性能更高。是一个消息处理队列库,可在多个线程、内核和主机盒之间弹性伸缩。ZMQ的明确目标是“成为标准网络协议栈的一部分,之后进入Linux内核”。现在还未看到它们的成功。但是,它无疑是极具前景的、并且是人们更加需要的“传统”BSD套接字之上的一 层封装。ZMQ让编写高性能网络应用程序极为简单和有趣。”

    特点是:

    • 高性能,非持久化;
    • 跨平台:支持Linux、Windows、OS X等。
    • 多语言支持; C、C++、Java、.NET、Python等30多种开发语言。
    • 可单独部署或集成到应用中使用;
    • 可作为Socket通信库使用。

    与RabbitMQ相比,ZMQ并不像是一个传统意义上的消息队列服务器,事实上,它也根本不是一个服务器,更像一个底层的网络通讯库,在Socket API之上做了一层封装,将网络通讯、进程通讯和线程通讯抽象为统一的API接口。支持“Request-Reply “,”Publisher-Subscriber“,”Parallel Pipeline”三种基本模型和扩展模型。

     

    ZeroMQ高性能设计要点:

    1、无锁的队列模型

       对于跨线程间的交互(用户端和session)之间的数据交换通道pipe,采用无锁的队列算法CAS;在pipe两端注册有异步事件,在读或者写消息到pipe的时,会自动触发读写事件。

    2、批量处理的算法

       对于传统的消息处理,每个消息在发送和接收的时候,都需要系统的调用,这样对于大量的消息,系统的开销比较大,zeroMQ对于批量的消息,进行了适应性的优化,可以批量的接收和发送消息。

    3、多核下的线程绑定,无须CPU切换

       区别于传统的多线程并发模式,信号量或者临界区, zeroMQ充分利用多核的优势,每个核绑定运行一个工作者线程,避免多线程之间的CPU切换开销。

    5.4 Kafka

    Kafka是一种高吞吐量的分布式发布订阅消息系统,它可以处理消费者规模的网站中的所有动作流数据。 这种动作(网页浏览,搜索和其他用户的行动)是在现代网络上的许多社会功能的一个关键因素。 这些数据通常是由于吞吐量的要求而通过处理日志和日志聚合来解决。 对于像Hadoop的一样的日志数据和离线分析系统,但又要求实时处理的限制,这是一个可行的解决方案。Kafka的目的是通过Hadoop的并行加载机制来统一线上和离线的消息处理,也是为了通过集群机来提供实时的消费。

    Kafka是一种高吞吐量的分布式发布订阅消息系统,有如下特性:

    • 通过O(1)的磁盘数据结构提供消息的持久化,这种结构对于即使数以TB的消息存储也能够保持长时间的稳定性能。(文件追加的方式写入数据,过期的数据定期删除)
    • 高吞吐量:即使是非常普通的硬件Kafka也可以支持每秒数百万的消息。
    • 支持通过Kafka服务器和消费机集群来分区消息。
    • 支持Hadoop并行数据加载。

     

    Kafka相关概念

    • Broker

    Kafka集群包含一个或多个服务器,这种服务器被称为broker[5]

    • Topic

    每条发布到Kafka集群的消息都有一个类别,这个类别被称为Topic。(物理上不同Topic的消息分开存储,逻辑上一个Topic的消息虽然保存于一个或多个broker上但用户只需指定消息的Topic即可生产或消费数据而不必关心数据存于何处)

    • Partition

    Parition是物理上的概念,每个Topic包含一个或多个Partition.

    • Producer

    负责发布消息到Kafka broker

    • Consumer

    消息消费者,向Kafka broker读取消息的客户端。

    • Consumer Group

    每个Consumer属于一个特定的Consumer Group(可为每个Consumer指定group name,若不指定group name则属于默认的group)。

     

    一般应用在大数据日志处理或对实时性(少量延迟),可靠性(少量丢数据)要求稍低的场景使用。

    六、参考资料

    以下是本次分享参考的资料和推荐大家参考的资料。

     

    参考资料(可参考资料):

    (1)Jms

    http://blog.sina.com.cn/s/blog_3fba24680100r777.html

    http://blog.csdn.net/jiuqiyuliang/article/details/46701559(深入浅出JMS(一)--JMS基本概念)

    (2)RabbitMQ

    http://baike.baidu.com/link?url=s2cU-QgOsXan7j0AM5qxxlmruz6WEeBQXX-Bbk0O3F5jt9Qts2uYQARxQxl7CBT2SO2NF2VkzX_XZLqU-CTaPa

    http://blog.csdn.net/sun305355024sun/article/details/41913105

    (3)Zero MQ

    http://www.searchtb.com/2012/08/zeromq-primer.html

    http://blog.csdn.net/yangbutao/article/details/8498790

    http://wenku.baidu.com/link?url=yYoiZ_pYPCuUxEsGQvMMleY08bcptZvwF3IMHo2W1i-ti66YXXPpLLJBGXboddwgGBnOehHiUdslFhtz7RGZYkrtMQQ02DV5sv9JFF4LZnK

    (4)Kafka

    http://baike.baidu.com/link?url=qQXyqvPQ1MVrw9WkOGSGEfSX1NHy4unsgc4ezzJwU94SrPuVnrKf2tbm4SllVaN3ArGGxV_N5hw8JTT2-lw4QK

    http://www.infoq.com/cn/articles/apache-kafka/

    http://www.mincoder.com/article/3942.shtml

    已分享的电子资料(在群文件中)

    (1)Active MQ

     

    (2)Kafka

     

    (3)Notify

     

    七、本次分享总结

    以上是本周的分享,主要讲解了消息队列概述,常用消息队列应用场景(异步处理,应用解耦,流量削锋,日志处理和消息通讯),JMS Java消息服务,以及目前流行的几款消息队列介绍。最后演示了两个使用消息中间件的架构。

    因为时间关系,有些讲解的不细致,大家可以问下度娘/Google,希望本次分享对大家有帮助。

    本次是春节前最后一次分享,我们的分享年后会继续,明年会继续大型网站架构系列》,并会增加《一步一步学架构系列》。具体时间和分享内容会以QQ群公告的方式通知大家。感谢大家的关注。

    分享是快乐的,也是个人成长的过程。文章一般是自己的学习总结,工作经验,不足之处在所难免,请大家指正,共同进步。建立了一个以架构为中心的KK群466097527 ,欢迎大家加入。专注大型分布式网站架构,大数据,架构模式,设计模式。

     

    原文:http://www.cnblogs.com/itfly8/p/5155983.html

    六、参考资料

    以下是本次分享参考的资料和推荐大家参考的资料。

    参考资料(可参考资料):

    (1)Jms

    http://blog.sina.com.cn/s/blog_3fba24680100r777.html

    http://blog.csdn.net/jiuqiyuliang/article/details/46701559(深入浅出JMS(一)–JMS基本概念)

    (2)RabbitMQ

    http://baike.baidu.com/link?url=s2cU-QgOsXan7j0AM5qxxlmruz6WEeBQXX-Bbk0O3F5jt9Qts2uYQARxQxl7CBT2SO2NF2VkzX_XZLqU-CTaPa

    http://blog.csdn.net/sun305355024sun/article/details/41913105

    (3)Zero MQ

    http://www.searchtb.com/2012/08/zeromq-primer.html

    http://blog.csdn.net/yangbutao/article/details/8498790

    http://wenku.baidu.com/link?url=yYoiZ_pYPCuUxEsGQvMMleY08bcptZvwF3IMHo2W1i-ti66YXXPpLLJBGXboddwgGBnOehHiUdslFhtz7RGZYkrtMQQ02DV5sv9JFF4LZnK

    (4)Kafka

    http://baike.baidu.com/link?url=qQXyqvPQ1MVrw9WkOGSGEfSX1NHy4unsgc4ezzJwU94SrPuVnrKf2tbm4SllVaN3ArGGxV_N5hw8JTT2-lw4QK

    http://www.infoq.com/cn/articles/apache-kafka/

    http://www.mincoder.com/article/3942.shtml

    • Kafka集群:接收,路由,存储,转发等消息处理;

    Storm集群:与OtherApp处于同一级别,采用拉的方式消费队列中的数据;

    展开全文
  • ArrayList和LinkedList区别及使用场景

    万次阅读 多人点赞 2018-09-07 18:51:40
    ArrayList和LinkedList区别及使用场景 1. LinkedList和ArrayList的差别主要来自于Array和LinkedList数据结构的不同。ArrayList是基于数组实现的,LinkedList是基于双链表实现的。另外LinkedList类不仅是List接口的...

    ArrayList和LinkedList区别及使用场景

    1. LinkedList和ArrayList的差别主要来自于Array和LinkedList数据结构的不同。ArrayList是基于数组实现的,LinkedList是基于双链表实现的。另外LinkedList类不仅是List接口的实现类,可以根据索引来随机访问集合中的元素,除此之外,LinkedList还实现了Deque接口,Deque接口是Queue接口的子接口,它代表一个双向队列,因此LinkedList可以作为双向队列 ,栈(可以参见Deque提供的接口方法)和List集合使用,功能强大。

    2. 因为Array是基于索引(index)的数据结构,它使用索引在数组中搜索和读取数据是很快的,可以直接返回数组中index位置的元素,因此在随机访问集合元素上有较好的性能。Array获取数据的时间复杂度是O(1),但是要插入、删除数据却是开销很大的,因为这需要移动数组中插入位置之后的的所有元素

    3. 相对于ArrayList,LinkedList的随机访问集合元素时性能较差,因为需要在双向列表中找到要index的位置,再返回;但在插入,删除操作是更快的。因为LinkedList不像ArrayList一样,不需要改变数组的大小,也不需要在数组装满的时候要将所有的数据重新装入一个新的数组,这是ArrayList最坏的一种情况,时间复杂度是O(n),而LinkedList中插入或删除的时间复杂度仅为O(1)。ArrayList在插入数据时还需要更新索引(除了插入数组的尾部)。

    4. LinkedList需要更多的内存,因为ArrayList的每个索引的位置是实际的数据,而LinkedList中的每个节点中存储的是实际的数据和前后节点的位置。

    使用场景:

    (1)如果应用程序对数据有较多的随机访问,ArrayList对象要优于LinkedList对象;

      ( 2 ) 如果应用程序有更多的插入或者删除操作,较少的随机访问,LinkedList对象要优于ArrayList对象;

    (3)不过ArrayList的插入,删除操作也不一定比LinkedList慢,如果在List靠近末尾的地方插入,那么ArrayList只需要移动较少的数据,而LinkedList则需要一直查找到列表尾部,反而耗费较多时间,这时ArrayList就比LinkedList要快。

     

     

     

    参考 https://blog.csdn.net/followMyInclinations/article/details/51347292

    展开全文
  • ZooKeeper使用场景

    万次阅读 2018-11-28 21:16:54
    网上对ZooKeeper的使用场景也有不少介绍,本文将结合作者身边的项目例子,系统的对zk的使用场景进行归类介绍。 值得注意的是,ZooKeeper并不是生来就为这些场景设计,都是后来众多开发者根据框架的...
  • redis使用场景及案例

    万次阅读 多人点赞 2019-08-19 14:49:30
    最近在写一个篮球社区项目,其中redis的使用场景还挺多的,于是结合项目总结一下redis的使用场景 一、缓存 项目场景:用户登录或注册时的验证码存储,用户名 set Code:1:code 1232 EX 100 NX OK get Code...
  • AtomicReference使用场景

    千次阅读 2018-08-08 13:53:01
    1.简介 赋值操作不是线程安全的...使用场景:一个线程使用student对象,另一个线程负责定时读表,更新这个对象。那么就可以用AtomicReference这个类。 package org.luzhen.test; public class Student { priva...
  • ThreadLocal 是什么?有哪些使用场景

    万次阅读 多人点赞 2019-05-23 11:09:03
    有哪些使用场景? ThreadLocal 是线程本地存储,在每个线程中都创建了一个 ThreadLocalMap 对象,每个线程可以访问自己内部 ThreadLocalMap 对象内的 value。 经典的使用场景是为每个线程分配一个 JDBC 连接 ...
  • Redis-使用场景

    千次阅读 2018-06-06 18:23:40
    Redis是一个key-value存储系统,现在在各种系统中的使用越来越多,大部分情况下是因为其高性能的特性,被当做缓存使用,这里介绍下Redis经常遇到的使用场景。 Redis特性 一个产品的使用场景肯定是需要根据产品的...
  • 时间戳使用场景

    千次阅读 2019-04-01 14:47:57
    具体使用场景如下: 2个系统A和B;A要传输一段信息到B,B利用此段信息做免登录 虽然传输过程经过加密,但是如果不加时间戳,每次加密后的信息是一样的,很容易被劫持,然后模拟登陆; 所以加一段时间戳,每次加密后的信息...
  • kafka的使用场景

    万次阅读 多人点赞 2018-05-10 18:28:02
    目前使用较多的消息队列有ActiveMQ,RabbitMQ,ZeroMQ,Kafka,MetaMQ,RocketMQ二、消息队列应用场景以下介绍消息队列在实际应用中常用的使用场景。异步处理,应用解耦,流量削锋和消息通讯四个场景。2.1异步...
  • Zuul的多个使用场景

    万次阅读 2018-11-15 10:13:26
    Zuul的使用场景场景很多,今天我们就来细数一下
  • Mysql共享锁、排他锁、悲观锁、乐观锁及其使用场景 一、相关名词 |--表级锁(锁定整个表) |--页级锁(锁定一页) |--行级锁(锁定一行) |--共享锁(S锁,MyISAM 叫做读锁) |--排他锁(X锁,MyISAM 叫做写锁...
  • EventBus使用总结和使用场景

    千次阅读 2019-01-21 11:25:40
    一、EventBus介绍 EventBus是一个Android端优化的publish/subscribe消息总线,简化了应用程序内各组件间、组件与后台线程间的通信。传统的事件传递方式包括:Handler、...二、使用场景 刚开始接触EventBus的使用...
  • TreeMap使用场景 优势

    千次阅读 2020-03-21 10:05:47
    TreeMap使用场景 1- 简介 TreeMap的底层实现原理 基于红黑树实现的排序Map TreeMap增删改查的时间复杂度 TreeMap的增删改查和统计相关的操作的时间复杂度都为O(logn) TreeMap的key和value的要求 1 由于实现...
  • [数据库] 一文搞懂case when所有使用场景

    万次阅读 多人点赞 2019-02-01 16:44:44
    前几天,为了给产品分析当前用户数据结构,写sql的时候使用到了case when,今天来总结一下casewhen的使用方法,以此为戒,感觉写的不好请拍砖,感觉写的还可以,给哥们点个赞,或者回复一下,让我意识到我不是一个人...
  • ES6 Symbol 使用场景

    千次阅读 2019-04-02 16:11:38
    ES6 新增了第 7 种原始数据类型 Symbol,简单介绍一下它的使用方法及使用场景。 Symbol 含义及使用方法 symbol 英文意思为 符号、象征、标记、记号,在 js 中更确切的翻译应该为 独一无二的值,理解了它的意思之后再...
  • 原型模式的使用场景

    千次阅读 2019-05-30 14:18:56
    文章目录原型模式的使用场景源码使用场景-Intent案例demo 原型模式的使用场景 (1)类初始化需要消化非常多的资源,这个资源包括数据、硬件资源等,通过原型拷贝避免这些消耗。 (2)通过new一个对象需要非常繁琐的数据...
  • ActiveMQ 使用场景

    万次阅读 2015-11-06 00:14:49
    ActiveMQ 安装测试就不做介绍了,下面我说说ActiveMQ 使用场景。 1.非均匀应用集成  ActiveMQ 中间件用Java语言编写,因此自然提供Java客户端 API。但是ActiveMQ 也为C/C++、.NET、Perl、PHP、Python、Ruby 和...
  • Lambda表达式使用场景解析C++11

    万次阅读 多人点赞 2018-05-27 15:39:39
    Lambda表达式的使用场景 其实我在刚开始使用lambda的时候就挺好奇什么时候使用好,经常在不需要使用的时候使用上了,真的是多此一举,那么要在什么情况下使用呢? 因为lambda表达式又叫匿名函数(当然我们也可以理解为...
  • Spring Boot中注解@ConfigurationProperties的三种使用场景

    万次阅读 多人点赞 2020-02-29 16:04:28
    在Spring Boot中注解@ConfigurationProperties有三种使用场景,而通常情况下我们使用的最多的只是其中的一种场景。本篇文章带大家了解一下三种场景的使用情况。 场景一 使用@ConfigurationProperties和@Component...
  • VUE slot插槽的使用和使用场景

    千次阅读 2020-09-30 13:56:32
    我先简单的说一个场景吧,来理解一下插槽和它的使用场景,比如哈!有一个模块,除了一个小地方 显示的东西不同,其他的内容都是一样的!如下图,你此时此刻想怎么写这个需求呢? 1.有几个状态写几个组件??? 2....
  • 消息中间件的使用场景

    万次阅读 多人点赞 2018-05-24 22:14:37
    一般认为,采用消息传送机制/消息队列 的中间件技术,进行数据交流,用在分布式系统的集成。为什么使用消息中间件...消息中间件有些什么使用场景一、异步处理用户注册(50ms),还需发送邮件(50ms)和短信(50ms)...

空空如也

空空如也

1 2 3 4 5 ... 20
收藏数 232,231
精华内容 92,892
关键字:

使用场景