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2017/04/09/Hadoop伪分布式安装（Centos7）/index.html

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-                <time title="修改時間：2023-12-05 09:45:47" itemprop="dateModified" datetime="2023-12-05T09:45:47+08:00">2023-12-05</time>
+                <time title="修改時間：2023-12-07 09:19:31" itemprop="dateModified" datetime="2023-12-07T09:19:31+08:00">2023-12-07</time>
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@@ -286,7 +286,8 @@ <h3 id="hdfs启动与停止">hdfs启动与停止</h3>
 <h3 id="配置和启动yarn">配置和启动YARN</h3>
 <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#切换配置文件目录</span></span><br><span class="line"><span class="built_in">cd</span> /usr/<span class="built_in">local</span>/hadoop-2.7.3/etc/hadoop/</span><br><span class="line">mv mapred-site.xml.template mapred-site.xml</span><br><span class="line">vim mapred-site.xml</span><br><span class="line"><span class="comment">#添加&lt;configuration&gt;&lt;/configuration&gt;中间的配置</span></span><br><span class="line">&lt;configuration&gt;</span><br><span class="line">    &lt;!-- 通知框架MR使用YARN --&gt;</span><br><span class="line">    &lt;property&gt;</span><br><span class="line">        &lt;name&gt;mapreduce.framework.name&lt;/name&gt;</span><br><span class="line">        &lt;value&gt;yarn&lt;/value&gt;</span><br><span class="line">    &lt;/property&gt;</span><br><span class="line">&lt;/configuration&gt;</span><br><span class="line"><span class="comment">#保存退出</span></span><br><span class="line"></span><br><span class="line">vim yarn-site.xml</span><br><span class="line"><span class="comment">#添加如上配置</span></span><br><span class="line">&lt;configuration&gt;</span><br><span class="line">	&lt;!-- reducer取数据的方式是mapreduce_shuffle --&gt;</span><br><span class="line">    &lt;property&gt;</span><br><span class="line">         &lt;name&gt;yarn.nodemanager.aux-services&lt;/name&gt;</span><br><span class="line">         &lt;value&gt;mapreduce_shuffle&lt;/value&gt;</span><br><span class="line">    &lt;/property&gt;</span><br><span class="line">&lt;/configuration&gt;</span><br><span class="line"><span class="comment">#保存退出</span></span><br><span class="line"></span><br><span class="line"><span class="comment">#启动YARN</span></span><br><span class="line">start-yarn.sh</span><br><span class="line"><span class="comment">#输入jps检查是否成功</span></span><br><span class="line">jps</span><br><span class="line"><span class="comment">#出现六行顺序不定，分别为SecondaryNameNode、DataNode、NameNode、Jps、ResourceManager、NodeManager，即表示成功</span></span><br><span class="line"><span class="comment">#打开浏览器输入：服务器ip:8088</span></span><br><span class="line"><span class="comment">#若无响应，可参照上文中的开放50070端口，开放8088端口，只需将50070换为8088即可</span></span><br></pre></td></tr></table></figure>
 <h2 id="测试">测试</h2>
-<p>在本地新建一个文件，如在<code>/home/user/</code>下新建<code>words.txt</code>，内容如下 <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line">hello world</span><br><span class="line">hello hadoop</span><br><span class="line">hello csdn</span><br><span class="line">hello</span><br></pre></td></tr></table></figure> 正式进行测试。命令如下： <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#在hdfs根目录下新建test目录</span></span><br><span class="line">bin/hdfs dfs -mkdir /<span class="built_in">test</span></span><br><span class="line"></span><br><span class="line"><span class="comment">#查看hdfs根目录下的目录结构</span></span><br><span class="line">bin/hdfs dfs -ls /</span><br><span class="line"></span><br><span class="line"><span class="comment">#将本地文件上传至/test/目录下</span></span><br><span class="line">bin/hdfs dfs -put /home/user/words.txt /<span class="built_in">test</span>/</span><br><span class="line"></span><br><span class="line"><span class="comment">#运行wordcount</span></span><br><span class="line">bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar wordcount /<span class="built_in">test</span>/words.txt /<span class="built_in">test</span>/out</span><br><span class="line"></span><br><span class="line"><span class="comment">#在/test/目录下生成了一个名为out的文件目录，查看一下/out/目录下的文件</span></span><br><span class="line">bin/hdfs dfs -ls /<span class="built_in">test</span>/out</span><br><span class="line"></span><br><span class="line"><span class="comment">#结果保存在part-r-00000，查看一下运行结果</span></span><br><span class="line">bin/hdfs fs -cat /<span class="built_in">test</span>/out/part-r-00000</span><br></pre></td></tr></table></figure> ## HDFS的常用操作命令</p>
+<p>在本地新建一个文件，如在<code>/home/user/</code>下新建<code>words.txt</code>，内容如下 <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br></pre></td><td class="code"><pre><span class="line">hello world</span><br><span class="line">hello hadoop</span><br><span class="line">hello csdn</span><br><span class="line">hello</span><br></pre></td></tr></table></figure> 正式进行测试。命令如下： <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#在hdfs根目录下新建test目录</span></span><br><span class="line">bin/hdfs dfs -mkdir /<span class="built_in">test</span></span><br><span class="line"></span><br><span class="line"><span class="comment">#查看hdfs根目录下的目录结构</span></span><br><span class="line">bin/hdfs dfs -ls /</span><br><span class="line"></span><br><span class="line"><span class="comment">#将本地文件上传至/test/目录下</span></span><br><span class="line">bin/hdfs dfs -put /home/user/words.txt /<span class="built_in">test</span>/</span><br><span class="line"></span><br><span class="line"><span class="comment">#运行wordcount</span></span><br><span class="line">bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.1.jar wordcount /<span class="built_in">test</span>/words.txt /<span class="built_in">test</span>/out</span><br><span class="line"></span><br><span class="line"><span class="comment">#在/test/目录下生成了一个名为out的文件目录，查看一下/out/目录下的文件</span></span><br><span class="line">bin/hdfs dfs -ls /<span class="built_in">test</span>/out</span><br><span class="line"></span><br><span class="line"><span class="comment">#结果保存在part-r-00000，查看一下运行结果</span></span><br><span class="line">bin/hdfs fs -cat /<span class="built_in">test</span>/out/part-r-00000</span><br></pre></td></tr></table></figure></p>
+<h2 id="hdfs的常用操作命令">HDFS的常用操作命令</h2>
 <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment">#常用操作：</span></span><br><span class="line"><span class="comment">#HDFS shell</span></span><br><span class="line"><span class="comment">#查看帮助</span></span><br><span class="line">hadoop fs -<span class="built_in">help</span> &lt;cmd&gt;</span><br><span class="line"><span class="comment">#上传</span></span><br><span class="line">hadoop fs -cat &lt;hdfs上的路径&gt;</span><br><span class="line"><span class="comment">#查看文件列表</span></span><br><span class="line">hadoop fs -ls /</span><br><span class="line"><span class="comment">#下载文件</span></span><br><span class="line">hadoop fs -get &lt;hdfs上的路径&gt; &lt;linux上文件&gt;</span><br></pre></td></tr></table></figure>
 <p>下一篇：<a href="/hexo_blog/2017/05/07/%E5%9C%A8Hadoop%E5%9F%BA%E7%A1%80%E4%B8%8AHive%E7%9A%84%E5%AE%89%E8%A3%85/" title="在Hadoop基础上Hive的安装">在Hadoop基础上Hive的安装</a></p>
 
@@ -391,7 +392,7 @@ <h2 id="测试">测试</h2>
 
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2017/05/07/在Hadoop基础上Hive的安装/index.html

@@ -32,8 +32,8 @@
 <meta property="article:modified_time" content="2023-12-05T01:50:48.963Z">
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 <meta property="article:tag" content="Hadoop">
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@@ -369,8 +369,8 @@ <h3 id="转换类型">转换类型</h3>
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               <a href="/hexo_blog/tags/Hadoop/" rel="tag"># Hadoop</a>
-              <a href="/hexo_blog/tags/Hive/" rel="tag"># Hive</a>
               <a href="/hexo_blog/tags/%E5%A4%A7%E6%95%B0%E6%8D%AE/" rel="tag"># 大数据</a>
+              <a href="/hexo_blog/tags/Hive/" rel="tag"># Hive</a>
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