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Python非root安装和Python项目环境配置
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<p>本文讨论的前提是 <code>Linux</code> 系统下的非 <code>root</code> 权限的多版本, 多项目的 <code>Python</code> 环境配置. </p>
<p><code>root</code> 权限下, <code>Python</code> 使用出现报错, 那可以 <code>google</code> 对应的错误, 大多数情况下可以找到解决方法;<br>如果不在系统版本的 <code>Python</code> 下进行开发, 那编译安装所需版本的 <code>Python</code> 就在所难免, 但一定要记住, 不要试图替换当前系统的 <code>Python</code> 版本, 想都不要想, 否则系统可能都会不工作了(血的教训);<br>实际开发中, 如果项目 1 使用 <code>Python 2.7.12</code>, 项目2 使用 <code>Python 3.6.0</code>, 就得每个都得编译一遍, 还要在跑代码时候, 记得指定具体的路径, <code>pip</code> 时候一定要确认是对应的项目下, 总之, 会有很多坑. </p>
<p>而 <code>Python</code> 多版本依赖工具就可以将上述的问题做最大的简化, 本文也是在解决上面坑的时候积累得到的. </p>
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大数据项目架构概述
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<h2 id="前言"><a href="#前言" class="headerlink" title="前言"></a>前言</h2><p>其实, 本文更应该写成一篇2016年工作总结的, 无奈, 精神拖延, 身体懒惰, 迟迟未能着手. 恰逢周末, 遂总结下自己工作以来的一些经验和看法, 因为这几年一直做大数据系统的开发, 就勉强起名–我的”大数据项目架构概述”.</p>
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MySQL 编号及排序问题
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<p>本文主要是介绍 MySQL 输出结果时的 Record 的序号问题，及排序问题 包括 严格递增， 重复不连续， 重复连续等。</p>
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MySQL 主从一致介绍
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<p>MySQL Replication 可以用于数据备份，负载平衡，高可用，容错等。基本方式是，将 master 的数据(包括 SQL等)同步复制到 slave(s), 并重新执行。master 会将所有的改变以 binlog 文件保存，并异步传输到 slave 端。这样做的好处包括：</p>
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<li>扩展解决方案：在多个 slave 负载分布，提高性能。</li>
<li>数据安全： 我们可以在不打断master上的数据请求的情况下，在 slave 可以暂停 replication 进程，从而完成数据的备份。</li>
<li>分析：数据在master上创建，一些数据分析的工作在slave上进行，这不影响master的性能。</li>
<li>远距离的数据分布： 就近使用 slave 数据，而不是每次请求远端 master。</li>
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Linux Bash 实用方法
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<p>本文总结作者在 Linux 下日常操作命令及实用方法。</p>
<h2 id="统计目录-或文件-所占磁盘空间的大小-—-du"><a href="#统计目录-或文件-所占磁盘空间的大小-—-du" class="headerlink" title="统计目录(或文件)所占磁盘空间的大小 — du"></a>统计目录(或文件)所占磁盘空间的大小 — du</h2><figure class="highlight plain"><table><tr><td class="gutter"><pre><div class="line">1</div></pre></td><td class="code"><pre><div class="line">du -sh $path</div></pre></td></tr></table></figure>
<h2 id="硬盘检测-—-omreport"><a href="#硬盘检测-—-omreport" class="headerlink" title="硬盘检测 — omreport"></a>硬盘检测 — omreport</h2><figure class="highlight plain"><table><tr><td class="gutter"><pre><div class="line">1</div><div class="line">2</div></pre></td><td class="code"><pre><div class="line">omreport storage pdisk controller=0 |grep ^Status</div><div class="line">omreport storage vdisk controller=0</div></pre></td></tr></table></figure>
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AWK 实用方法
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<p>自从被安利了 AWK 后，对基本的统计，计算逻辑不是特别复杂的任务，首先想到的是用 AWK 来处理，跟其它的语言比，它开发速度快，使用灵活。本文不会对 AWK 做系统的介绍，主要是记录自己在日常工作中常用的一些方法，假定读者已经了解 AWK 的基本语法。详细介绍见 <a href="http://www.gnu.org/software/gawk/manual/gawk.html" target="_blank" rel="external">GAWK 手册</a> 或者 <code>man awk</code>。</p>
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数据平台安装配置-HBase
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<p><strong>前提</strong>: Hadoop, zookeeper 提前安装完成. </p>
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数据平台安装配置-SparkSQL with Hive
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