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<time datetime="2015-04-04T01:12:45.000Z"><a href="/2015/04/04/busuanzi/">Apr 4 2015</a></time>
<h1 class="title"><a href="/2015/04/04/busuanzi/">不蒜子</a></h1>
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<figure class="highlight plain"><table><tr><td class="code"><pre><span class="line">！！！！2018年9月 - 重要提示 ！！！！</span><br><span class="line">大家好，因七牛强制过期原有的『dn-lbstatics.qbox.me』域名（预计2018年10月初），与客服沟通数次无果，即使我提出为此付费也不行，只能更换域名到『busuanzi.ibruce.info』！因我是最早的一批七牛用户，为七牛至少带来了数百个邀请用户，很痛心，很无奈！</span><br><span class="line">各位继续使用不蒜子提供的服务，只需把原有的：</span><br><span class="line"><script async src="//dn-lbstatics.qbox.me/busuanzi/2.3/busuanzi.pure.mini.js"></script></span><br><span class="line">域名改一下即可：</span><br><span class="line"><script async src="//busuanzi.ibruce.info/busuanzi/2.3/busuanzi.pure.mini.js"></script></span><br><span class="line">只需要修改该js域名，其他均未改变。若有疑问，可以加入不蒜子交流QQ群：`419260983`，对您带来的不便，非常抱歉！！！还是那句话，不蒜子不会中断服务！！！！</span><br></pre></td></tr></table></figure>
<p>静态网站建站现在有很多快速的技术和平台，但静态是优点也有缺点，由于是静态的，一些动态的内容如评论、计数等等模块就需要借助外来平台，评论有<a href="http://duoshuo.com" target="_blank" rel="noopener">“多说”</a>，计数有<a href="http://busuanzi.ibruce.info" target="_blank" rel="noopener">“不蒜”</a>！<strong>（多说即将关闭，不蒜子还活着涅，这是程序员对程序员的承诺。）</strong></p>
<blockquote>
<p><strong><a href="http://busuanzi.ibruce.info" target="_blank" rel="noopener">“不蒜子”</a>与百度统计谷歌分析等有区别：<a href="http://busuanzi.ibruce.info" target="_blank" rel="noopener">“不蒜子”</a>可直接将访问次数显示在您在网页上（也可不显示）；对于已经上线一段时间的网站，<a href="http://busuanzi.ibruce.info" target="_blank" rel="noopener">“不蒜子”</a>允许您初始化首次数据。。</strong></p>
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<p>普通用户只需两步走：<strong>一行脚本+一行标签</strong>，搞定一切。追求极致的用户可以进行任意DIY。</p>
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<time datetime="2015-03-03T01:25:11.000Z"><a href="/2015/03/03/mongodb3-auth/">Mar 3 2015</a></time>
<h1 class="title"><a href="/2015/03/03/mongodb3-auth/">mongoDB 3.0 安全权限访问控制</a></h1>
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<p>MongoDB3.0权限，啥都不说了，谷歌百度出来的全是错的。先安装好盲沟，简单的没法说。</p>
<p>首先，不使用 <em>–auth</em> 参数，启动 mongoDB：</p>
<figure class="highlight plain"><table><tr><td class="code"><pre><span class="line">mongodb-linux-i686-3.0.0/bin/mongod -f mongodb-linux-i686-3.0.0/mongodb.conf</span><br></pre></td></tr></table></figure>
<blockquote>
<p>此时你 <em>show dbs</em> 会看到只有一个local数据库，那个所谓的admin是不存在的。</p>
</blockquote>
<p>mongoDB 没有炒鸡无敌用户root，只有能管理用户的用户 <a href="http://docs.mongodb.org/manual/reference/built-in-roles/#userAdminAnyDatabase" target="_blank" rel="noopener">userAdminAnyDatabase</a>。</p>
<p>打开 <strong>mongo shell</strong>：</p>
<figure class="highlight plain"><table><tr><td class="code"><pre><span class="line">mongodb-linux-i686-3.0.0/bin/mongo</span><br></pre></td></tr></table></figure>
<p>添加管理用户：</p>
<figure class="highlight plain"><table><tr><td class="code"><pre><span class="line">use admin</span><br><span class="line">db.createUser(</span><br><span class="line"> {</span><br><span class="line"> user: "buru",</span><br><span class="line"> pwd: "12345678",</span><br><span class="line"> roles: [ { role: "userAdminAnyDatabase", db: "admin" } ]</span><br><span class="line"> }</span><br><span class="line">)</span><br></pre></td></tr></table></figure>
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<time datetime="2014-12-02T02:54:28.000Z"><a href="/2014/12/02/hello-colossus/">Dec 2 2014</a></time>
<h1 class="title"><a href="/2014/12/02/hello-colossus/">微服务框架 Colossus</a></h1>
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<blockquote>
<p>一直认为 Akka 是 JVM 上实现微服务框架的最理想基础设施，现在 Colossus 终于来了！</p>
</blockquote>
<p>Tumblr 开源了其用 Scala 实现的微服务框架 Colossus。Colossus 是轻量级的 Scala 微服务 I/O 框架，基于 Akka Actor 实现，项目地址请戳 <a href="http://github.com/tumblr/colossus" target="_blank" rel="noopener">http://github.com/tumblr/colossus</a>。</p>
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<time datetime="2014-10-23T01:32:17.000Z"><a href="/2014/10/23/zookeeper/">Oct 23 2014</a></time>
<h1 class="title"><a href="/2014/10/23/zookeeper/">ZooKeeper 简介</a></h1>
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<div class="entry">
<p>系统越来越大后切分出的模块越来越多，一些模块还部署了双机。配置文件混乱，更新部署极易出错，准备上 <a href="http://zookeeper.apache.org" target="_blank" rel="noopener">zookeeper</a>。</p>
<p>下载当前稳定版的 <a href="http://zookeeper.apache.org/releases.html" target="_blank" rel="noopener">zookeeper</a>，解压并拷贝 conf/zoo_sample.cfg 为 zoo.cfg，配置所需要的项目。最少配是只指定其中的 dataDir 项，其他项则使用默认值。</p>
<figure class="highlight"><table><tr><td class="code"><pre><span class="line">tickTime=2000 # 心跳基本时间单位，毫秒级，zk基本上所有时间都是这个时间的整数倍</span><br><span class="line">clientPort=2181 # 监听客户端连接的端口</span><br><span class="line">dataDir=/zookeeper/server0/data # 内存数据库快照存放地址</span><br><span class="line">dataLogDir=/zookeeper/server0/dataLog # 事务日志存放地址，未指定则同dataDir项，建议分开</span><br></pre></td></tr></table></figure>
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<time datetime="2014-05-20T02:22:18.000Z"><a href="/2014/05/20/hello-akka/">May 20 2014</a></time>
<h1 class="title"><a href="/2014/05/20/hello-akka/">Akka 快速入门</a></h1>
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<p>Akka的优点太多，高性能、高可靠、高并发、分布式、可容错、可扩展、事件驱动，不一一叙述。不同版本的API差异很大，本文代码运行在 <a href="http://www.scala-lang.org" target="_blank" rel="noopener">Scala 2.10.3</a> 和 <a href="http://akka.io" target="_blank" rel="noopener">Akka 2.3.2</a> 之上。<br><figure class="highlight xml"><table><tr><td class="code"><pre><span class="line"><span class="tag"><<span class="name">dependency</span>></span></span><br><span class="line"> <span class="tag"><<span class="name">groupId</span>></span>com.typesafe.akka<span class="tag"></<span class="name">groupId</span>></span></span><br><span class="line"> <span class="tag"><<span class="name">artifactId</span>></span>akka-actor_2.10<span class="tag"></<span class="name">artifactId</span>></span></span><br><span class="line"> <span class="tag"><<span class="name">version</span>></span>2.3.2<span class="tag"></<span class="name">version</span>></span></span><br><span class="line"><span class="tag"></<span class="name">dependency</span>></span></span><br><span class="line"><span class="tag"><<span class="name">dependency</span>></span></span><br><span class="line"> <span class="tag"><<span class="name">groupId</span>></span>org.scala-lang<span class="tag"></<span class="name">groupId</span>></span></span><br><span class="line"> <span class="tag"><<span class="name">artifactId</span>></span>scala-library<span class="tag"></<span class="name">artifactId</span>></span></span><br><span class="line"> <span class="tag"><<span class="name">version</span>></span>2.10.3<span class="tag"></<span class="name">version</span>></span></span><br><span class="line"><span class="tag"></<span class="name">dependency</span>></span></span><br></pre></td></tr></table></figure></p>
<h1 id="定义">定义</h1><p>定义Actor很简单，继承 akka.actor.Actor ，实现receive方法即可。</p>
<figure class="highlight scala"><table><tr><td class="code"><pre><span class="line"><span class="class"><span class="keyword">class</span> <span class="title">Hello</span> <span class="keyword">extends</span> <span class="title">Actor</span> </span>{</span><br><span class="line"> <span class="function"><span class="keyword">def</span> <span class="title">receive</span> </span>= {</span><br><span class="line"> <span class="keyword">case</span> msg: <span class="type">String</span> => println(<span class="string">"hello "</span> + msg)</span><br><span class="line"> <span class="keyword">case</span> _ => println(<span class="string">"unexpected message."</span>)</span><br><span class="line"> }</span><br><span class="line">}</span><br></pre></td></tr></table></figure>
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<time datetime="2014-04-16T08:33:56.000Z"><a href="/2014/04/16/a-small-point-of-interface-design/">Apr 16 2014</a></time>
<h1 class="title"><a href="/2014/04/16/a-small-point-of-interface-design/">对接口设计的一个小看法</a></h1>
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<p>与另一产品线的同事们讨论对接接口，对一些领导和架构师的某观点十分不认可。内容如下：</p>
<blockquote>
<ul>
<li>接口中的数据类型全部是String，不要出现Int等其他类型，理由是统一好处理。</li>
<li>接口中Array类型请用String替代，值用逗号分割，理由是接口中不应该出现数据结构。</li>
</ul>
</blockquote>
<p>我强烈反对上述观点。我粗浅的认为设计的基本原则是<strong>世界是什么样子，你的设计就是什么样子</strong>，这是好设计的前提。设计原本很简单，就是对真实世界的合理抽象，不是人为扭曲。</p>
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<time datetime="2014-04-06T09:35:19.000Z"><a href="/2014/04/06/hello-spray/">Apr 6 2014</a></time>
<h1 class="title"><a href="/2014/04/06/hello-spray/">通过 Spray 创建简单的 Restful Http Server</a></h1>
</header>
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<p>好久没写文章，实在太忙。最近我在项目中，搭建了很多小的零散的 Restful 服务，各个服务之间通过rest接口调用，相互协作。</p>
<p>Java出身的码农，动辄就是Tomcat、Spring，RestEasy、Hibernate、JPA、Jackson、HttpClient… 这些巨无霸非常臃肿，其实我的项目就是一个简简单单的Rest服务，请求Json参数 → 调用资源接口 → 返回Json数据，还好有Spray！</p>
<p>使用Scala系的工具，无论是体重上（包的大小）还是身高上（代码的长度），都能极大的减负，同时提升逼格和优雅度。下面介绍一个简单的Restful Http Server的开发示例。</p>
<p>首先安装 <a href="http://www.scala-sbt.org" target="_blank" rel="noopener">SBT</a>（简单理解为scala下的maven），安装方法参考 <a href="http://www.scala-sbt.org/release/docs/Getting-Started/Setup.html" target="_blank" rel="noopener">sbt documentation - setup</a>。</p>
<p>win7环境下，直接下载 <a href="http://repo.scala-sbt.org/scalasbt/sbt-native-packages/org/scala-sbt/sbt/0.13.1/sbt.zip" target="_blank" rel="noopener">0.13.1-zip包</a> 解压到c:\sbt，配置SBT_HOME到path，cmd中敲入sbt检查有无成功，%SBT_HOME%\conf\sbtconfig.txt中可以配置启动参数。</p>
<figure class="highlight plain"><table><tr><td class="code"><pre><span class="line"># Set the java args to high</span><br><span class="line">-Xmx1024M</span><br><span class="line">-XX:MaxPermSize=512m</span><br><span class="line">-XX:ReservedCodeCacheSize=256m</span><br><span class="line"></span><br><span class="line"># Set the extra SBT options</span><br><span class="line">-Dsbt.log.format=true</span><br><span class="line">-Dfile.encoding=ISO-8859-1</span><br><span class="line">-Dsbt.boot.directory=H:/sbt/boot/ </span><br><span class="line">-Dsbt.ivy.home=H:/sbt/</span><br></pre></td></tr></table></figure>
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<time datetime="2014-02-28T08:37:49.000Z"><a href="/2014/02/28/turning-point-2014/">Feb 28 2014</a></time>
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<p>二月的最后一天，新的三月，重要转折点之一。离开落后愚昧，大踏步，走向互联网的节奏。<br>
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<p>经常在微博或微信的文章中看到漂亮的分析图。我认为在大数据的时代，目前最关键的就是如何让非专业人员轻松的进行数据分析，比如可以象使用office一样制作信息图（infographic），而不是用专业的制图工具。这一步跨过去，看到的将是欣欣向荣的真正大数据时代。</p>
<p>而这之前，首先缺少的就是，可以让普通开发人员使用的大数据时代的可视化图表组件，比如标签云图，所幸，业界已经有<a href="http://github.com/ecomfe/echarts" target="_blank" rel="noopener">ECharts</a>和<a href="http://github.com/timdream/wordcloud" target="_blank" rel="noopener">WordCloud</a>这两大利器，本文只介绍后者。</p>
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