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<p>昨天在复习 MySQL 日志相关的知识，学的东西过一段时间后就会遗忘，遗忘后再重新思考，往往会有新的收获。想到几个问题，把它记录下来。</p>
<h2 id="为什么-redo-log-具有-crash-safe-的能力，而-binlog-没有？"><a href="#为什么-redo-log-具有-crash-safe-的能力，而-binlog-没有？" class="headerlink" title="为什么 redo log 具有 crash-safe 的能力，而 binlog 没有？"></a>为什么 redo log 具有 crash-safe 的能力，而 binlog 没有？</h2><p>redo log 是什么？</p>
<p>一个固定大小，<strong>“循环写”</strong>的日志文件，记录的是物理日志——“在某个数据页上做了某个修改”。</p>
<p>binlog 是什么？</p>
<p>一个无限大小，<strong>“追加写”</strong>的日志文件，记录的是逻辑日志——“给 ID=2 这一行的 c 字段加1”。</p>
<p>redo log 和 binlog 有一个很大的区别就是，一个是循环写，一个是追加写。也就是说 redo log 只会记录未刷盘的日志，已经刷入磁盘的数据都会从 redo log 这个有限大小的日志文件里删除。binlog 是追加日志，保存的是全量的日志。</p>
<p>当数据库 crash 后，想要恢复<strong>未刷盘但已经写入 redo log 和 binlog 的数据</strong>到内存时，binlog 是无法恢复的。虽然 binlog 拥有全量的日志，但没有一个标志让 innoDB 判断哪些数据已经刷盘，哪些数据还没有。</p>
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<p>自从开始早起，每天一杯咖啡就成了标配，在我的另一篇文章<a href="https://chaohang.top/archives/463" target="_blank" rel="noopener">《咖啡+奶》</a>中聊过，从一开始的3+1速溶进阶到黑咖啡+鲜牛奶，这次我的咖啡体验又升级啦。入了一台胶囊咖啡机 Nespresso Inissia C40，爱喝咖啡星人终于有了一台属于自己的咖啡机啦。</p>
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<a href="/2020/10/19/%E9%AB%98%E6%95%88%E5%AD%A6%E4%B9%A0/" class="post-title-link" itemprop="url">高效学习</a>
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<blockquote>
<p>左耳听风《高效学习篇》笔记</p>
</blockquote>
<h2 id="端正学习态度"><a href="#端正学习态度" class="headerlink" title="端正学习态度"></a>端正学习态度</h2><p>学习所需要具备的能力：</p>
<ol>
<li>行动力：缺乏行动力的人只会嘴上说说，很少真实践行；</li>
<li>方向和目标：要在前进过程不断修正自己的方向，确立和实现自己的目标；</li>
<li>方法：学习的方法很重要，没有方法论的支持，可能耗费大量的时间却收获很少；</li>
<li>自律和坚持：严格的自律，坚持，有效学习不使蛮力，可持续发展。</li>
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<p>WordPress 原生的页面导航不好用，我们可以利用插件改成分页导航。</p>
<p>我们使用 <code>WP-PageNavi</code> 插件来替代原生的页面导航。</p>
<p>安装结束后进入主题编辑器，找到首页 <code>index.php</code>，找到 <code>navigation</code> 或者 <code>nav</code> 相关的代码，注释掉相关代码，并在位置上添加如下代码:</p>
<p><code><?php wp_pagenavi(); ?></code></p>
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<p>WordPress 自带的代码块是没有代码高亮的，我们可以通过安装插件，设置代码高亮。</p>
<p>因为都是使用 Markdown 写博客，再用 MWeb 发布到博客上，<code>Enlighter</code> 这种需要依赖谷腾堡编辑器插入额外模块的插件，就不太适合我了，虽然这个插件很强大，有兴趣的朋友可以尝试下。</p>
<p><img data-src="http://cdn.chaohang.top/20201017140823.png" alt="Enlighter"></p>
<p>我只能选择自动美化谷腾堡代码块的插件，我找到了 <code>Code Prettify</code> 这个简单的插件，直接安装，不需要额外的配置，就能自动渲染代码块，目前我还是挺满意的，简单方便。大家要是有更好用的插件，也可以在评论区告诉我。</p>
<p>效果如下：</p>
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<p>显示文章的阅读次数对 SEO 是有很大好处的，因为每次点击都会对文章进行一次小小的更新，我们可以用 WP-PostViews 这个插件来实现这个功能。</p>
<h2 id="安装插件"><a href="#安装插件" class="headerlink" title="安装插件"></a>安装插件</h2><p>在博客后台安装 WP-PostViews 插件。</p>
<h2 id="修改主题代码"><a href="#修改主题代码" class="headerlink" title="修改主题代码"></a>修改主题代码</h2><h3 id="方法一：简单的修改。"><a href="#方法一：简单的修改。" class="headerlink" title="方法一：简单的修改。"></a>方法一：简单的修改。</h3><ol>
<li>在外观 -> 主题编辑器 中，找到 <code>index.php</code></li>
<li>找到 <code><?php while (have_posts()) : the_post(); ?></code> 这行代码</li>
<li>在循环内添加代码 <code><?php if(function_exists('the_views')) { the_views(); } ?></code></li>
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<p>这样就可以在首页添加一个默认样式，简易的阅读计数。</p>
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<a href="/2020/10/04/LeetCode25-N%E6%AC%A1%E5%B9%82/" class="post-title-link" itemprop="url">LeetCode25-N次幂</a>
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<h2 id="题目"><a href="#题目" class="headerlink" title="题目"></a>题目</h2><p>实现 pow(x, n) ，即计算 x 的 n 次幂函数。</p>
<p>示例 1:</p>
<p>输入: 2.00000, 10<br>输出: 1024.00000<br>示例 2:</p>
<p>输入: 2.10000, 3<br>输出: 9.26100<br>示例 3:</p>
<p>输入: 2.00000, -2<br>输出: 0.25000<br>解释: 2-2 = 1/22 = 1/4 = 0.25<br>说明:</p>
<p>-100.0 < x < 100.0<br>n 是 32 位有符号整数，其数值范围是 [−231, 231 − 1] 。</p>
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<h2 id="235-二叉搜索树的最近公共祖先"><a href="#235-二叉搜索树的最近公共祖先" class="headerlink" title="235.二叉搜索树的最近公共祖先"></a>235.二叉搜索树的最近公共祖先</h2><h3 id="题目"><a href="#题目" class="headerlink" title="题目"></a>题目</h3><p>给定一个二叉搜索树, 找到该树中两个指定节点的最近公共祖先。</p>
<p>百度百科中最近公共祖先的定义为：“对于有根树 T 的两个结点 p、q，最近公共祖先表示为一个结点 x，满足 x 是 p、q 的祖先且 x 的深度尽可能大（一个节点也可以是它自己的祖先）。”</p>
<p>例如，给定如下二叉搜索树: root = [6,2,8,0,4,7,9,null,null,3,5]</p>
<p><img data-src="https://assets.leetcode-cn.com/aliyun-lc-upload/uploads/2018/12/15/binarytree.png" alt=""></p>
<p>示例 1:</p>
<p>输入: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8<br>输出: 6<br>解释: 节点 2 和节点 8 的最近公共祖先是 6。<br>示例 2:</p>
<p>输入: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4<br>输出: 2<br>解释: 节点 2 和节点 4 的最近公共祖先是 2, 因为根据定义最近公共祖先节点可以为节点本身。</p>
<p>说明:</p>
<p>所有节点的值都是唯一的。<br>p、q 为不同节点且均存在于给定的二叉搜索树中。</p>
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<h2 id="题目"><a href="#题目" class="headerlink" title="题目"></a>题目</h2><p>给定一个二叉树，判断其是否是一个有效的二叉搜索树。</p>
<p>假设一个二叉搜索树具有如下特征：</p>
<p>节点的左子树只包含小于当前节点的数。<br>节点的右子树只包含大于当前节点的数。<br>所有左子树和右子树自身必须也是二叉搜索树。<br>示例 1:<br><figure class="highlight plain"><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></pre></td><td class="code"><pre><span class="line">输入:</span><br><span class="line"> 2</span><br><span class="line"> / \</span><br><span class="line"> 1 3</span><br><span class="line">输出: true</span><br></pre></td></tr></table></figure><br>示例 2:<br><figure class="highlight plain"><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></pre></td><td class="code"><pre><span class="line">输入:</span><br><span class="line"> 5</span><br><span class="line"> / \</span><br><span class="line"> 1 4</span><br><span class="line"> / \</span><br><span class="line"> 3 6</span><br><span class="line">输出: false</span><br><span class="line">解释: 输入为: [5,1,4,null,null,3,6]。</span><br><span class="line"> 根节点的值为 5 ，但是其右子节点值为 4 。</span><br></pre></td></tr></table></figure></p>
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