string(14) "127.0.0.1:9200"
URL: http://127.0.0.1:9200/likecs_art_db/_search<br>REQUEST:<pre>Array
(
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    [highlight] => Array
        (
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            [pre_tags] => #em#
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    [size] => 8
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</pre>RESPONSE:<pre>string(7538) "{"took":43,"timed_out":false,"_shards":{"total":1,"successful":1,"skipped":0,"failed":0},"hits":{"total":{"value":10000,"relation":"gte"},"max_score":50.3134,"hits":[{"_index":"likecs_art_db","_type":"_doc","_id":"14622","_score":50.3134,"_source":{"id":"14622","text":"\u524d\u7aef\u7b97\u6cd5-\u57fa\u672c\u6392\u5e8f\u7b97\u6cd5\u6bd4\u8f83","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        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</pre>string(14) "127.0.0.1:9200"
URL: http://127.0.0.1:9200/likecs_art_db/_search<br>REQUEST:<pre>Array
(
    [query] => Array
        (
            [match] => Array
                (
                    [text] => Array
                        (
                            [query] => 前端算法-基本排序算法比较
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                )

        )

    [highlight] => Array
        (
            [fields] => Array
                (
                    [text] => stdClass Object
                        (
                        )

                )

            [pre_tags] => #em#
            [post_tags] => #/em#
        )

    [size] => 8
    [from] => 8
)
</pre>RESPONSE:<pre>string(7965) "{"took":36,"timed_out":false,"_shards":{"total":1,"successful":1,"skipped":0,"failed":0},"hits":{"total":{"value":10000,"relation":"gte"},"max_score":50.3134,"hits":[{"_index":"likecs_art_db","_type":"_doc","_id":"469220","_score":35.938305,"_source":{"id":"469220","text":"\u3010\u554a\u54c8\uff01\u7b97\u6cd5\u3011\u4e4b\u4e00\u3001\u6392\u5e8f\u7b97\u6cd5\u6bd4\u8f83","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n    color: [\r\n        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                        <h1 class="page-title"><a href="/show-14622.html" title="前端算法-基本排序算法比较">前端算法-基本排序算法比较</a></h1>
            
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            <footer class="tc"> yuqing6 
                <time class="post-date" datetime="2018-04-17">2018-04-17</time>
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<h2><strong>基本排序算法</strong></h2>
<p>　　这里主要介绍的基本排序算法主要包括: 冒泡排序,选择排序,插入排序,之后的文章会介绍希尔排序,快速排序等高级排序算法, 文章后面会对这几个算法进行性能比较.<br>基本排序算法的核心思想是对一组数据按照一定的顺序重新排列. 重新排列主要就是嵌套的for循环. 外循环会遍历数组每一项,内循环进行元素的比较.<br><span style="color: #ff0000">注: 文中都以实现升序排序为例:</span></p>
<h3>1.冒泡排序</h3>
<p>　　冒泡排序是最慢的排序算法之一, 也是最容易实现的排序算法.使用这种算法进行排序时,数据值会像气泡一样从数组的一端漂浮到另一端,所以称之为冒泡排序.假设要对数组按照升序排列,较大的值会浮动到数组的右侧,较小值会浮到左侧.</p>
<h4>原理:</h4>
<p> 　　从开始第一对相邻元素开始,对每一对相邻元素进行比较,如果第一个比第二个大，就交换它们两个, 这样直到最后一对元素比较结束,最后的元素就是最大的数,重复这个过程,就可以完成排序.</p>
<h4>示意图:</h4>
<p><img src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTlwYldGblpYTXlNREU0TG1OdVlteHZaM011WTI5dEwySnNiMmN2TVRBMU5UYzFNeTh5TURFNE1EUXZNVEExTlRjMU15MHlNREU0TURReE56QTVORE0wTkRBMU5pMDBOelEwTnpRek1qZ3VaMmxt" alt=""></p>
<h4>代码:</h4>
<div class="likecs_code">
<pre>      <span style="color: #0000ff">function</span><span style="color: #000000"> bubbleSort(arr) {
        </span><span style="color: #0000ff">for</span> (let i = 0; i &lt; arr.length; i++<span style="color: #000000">) {
          </span><span style="color: #0000ff">for</span> (let j = 0; j &lt; arr.length - i - 1; j++<span style="color: #000000">) {
            </span><span style="color: #0000ff">if</span> (arr[j] &gt; arr[j + 1<span style="color: #000000">]) {
              let temp </span>=<span style="color: #000000"> arr[j];
              arr[j] </span>= arr[j + 1<span style="color: #000000">];
              arr[j </span>+ 1] =<span style="color: #000000"> temp;
            }
          }
        }
        </span><span style="color: #0000ff">return</span><span style="color: #000000"> arr;
      }</span></pre>
</div>
<h3>2.选择排序</h3>
<h4>原理:</h4>
<p>　　首先找出当前元素中最小的元素，并放到排序序列的起始位置，然后再从剩余的元素中寻找最小的元素，然后放到已排序序列的末尾。以此类推，直到排序完成。</p>
<h4>示意图:</h4>
<p><img src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTlwYldGblpYTXlNREU0TG1OdVlteHZaM011WTI5dEwySnNiMmN2TVRBMU5UYzFNeTh5TURFNE1EUXZNVEExTlRjMU15MHlNREU0TURReE56QTVORGN5TlRreE55MHhNakk1T1RZNU1UQTNMbWRwWmc9PQ==" alt=""></p>
<h4>代码:</h4>
<div class="likecs_code">
<pre>      <span style="color: #0000ff">function</span><span style="color: #000000"> selectionSort(arr) {
        </span><span style="color: #0000ff">var</span> len =<span style="color: #000000"> arr.length;
        </span><span style="color: #0000ff">var</span><span style="color: #000000"> minIndex, temp;
        </span><span style="color: #0000ff">for</span> (<span style="color: #0000ff">var</span> i = 0; i &lt; len - 1; i++<span style="color: #000000">) {
          minIndex </span>=<span style="color: #000000"> i;
          </span><span style="color: #0000ff">for</span> (<span style="color: #0000ff">var</span> j = i + 1; j &lt; len; j++<span style="color: #000000">) {
            </span><span style="color: #0000ff">if</span> (arr[j] &lt; arr[minIndex]) {
              minIndex = j;
<span style="color: #000000">            }
          }
          temp </span>=<span style="color: #000000"> arr[i];
          arr[i] </span>=<span style="color: #000000"> arr[minIndex];
          arr[minIndex] </span>=<span style="color: #000000"> temp;
        }
        </span><span style="color: #0000ff">return</span><span style="color: #000000"> arr;
      }</span></pre>
</div>
<p> </p>
<h3>3.插入排序</h3>
<h4>原理:</h4>
<p>　　从第二个元素开始(假定第一个元素已经排序了),取出这个元素,在已经排序的元素中从后向前进行比较,如果该元素大于这个元素,就将该元素移动到下一个位置,然后继续向前进行比较,直到找到小于或者等于该元素的位置,将该元素插入到这个位置后.重复这个步骤直到排序完成.</p>
<h4>示意图:</h4>
<p><img src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTlwYldGblpYTXlNREU0TG1OdVlteHZaM011WTI5dEwySnNiMmN2TVRBMU5UYzFNeTh5TURFNE1EUXZNVEExTlRjMU15MHlNREU0TURReE56QTVOVEF4TXpBM055MHhPVE14TkRBMU5UQXdMbWRwWmc9PQ==" alt=""></p>
<h4>代码: </h4>
<div class="likecs_code">
<pre>      <span style="color: #0000ff">function</span><span style="color: #000000"> insertionSort(arr) {
        </span><span style="color: #0000ff">var</span> len =<span style="color: #000000"> arr.length;
        </span><span style="color: #0000ff">var</span><span style="color: #000000"> preIndex, current;
        </span><span style="color: #0000ff">for</span> (<span style="color: #0000ff">var</span> i = 1; i &lt; len; i++<span style="color: #000000">) {
          preIndex </span>= i - 1<span style="color: #000000">;
          current </span>=<span style="color: #000000"> arr[i];
          </span><span style="color: #0000ff">while</span> (preIndex &gt;= 0 &amp;&amp; arr[preIndex] &gt;<span style="color: #000000"> current) {
            arr[preIndex </span>+ 1] =<span style="color: #000000"> arr[preIndex];
            preIndex</span>--<span style="color: #000000">;
          }
          arr[preIndex </span>+ 1] =<span style="color: #000000"> current;
        }
        </span><span style="color: #0000ff">return</span><span style="color: #000000"> arr;
      }</span></pre>
</div>
<h3>4.基本排序算法的性能比较</h3>
<p>　　使用console.time进行时间计算,在需要测试的开始位置写上console.time，并且括号内传一个字符串。在结束的位置使用console.timeEnd方法，并再次把字符串传入,即可在控制台查看执行时间.<br>首先创建一个n位随机数组用来测试.</p>
<div class="likecs_code">
<pre>      <span style="color: #0000ff">function</span><span style="color: #000000"> createRandomArr(n) {
        let arr </span>=<span style="color: #000000"> [];
        </span><span style="color: #0000ff">for</span> (let i = 0; i &lt; n; i++<span style="color: #000000">) {
          arr.push(Math.floor((Math.random() </span>* 100<span style="color: #000000">)));
        }
        </span><span style="color: #0000ff">return</span><span style="color: #000000"> arr;
      }</span></pre>
</div>
<p>分别记录3种算法所用时间:</p>
<div class="likecs_code">
<pre>  <span style="color: #0000ff">var</span> testArr = createRandomArr(1000<span style="color: #000000">);
  </span><span style="color: #008000">//</span><span style="color: #008000">  记录冒泡排序所用时间</span>
  console.time('bubbleSort'<span style="color: #000000">);
  bubbleSort(testArr);
  console.timeEnd(</span>'bubbleSort'<span style="color: #000000">);
  </span><span style="color: #0000ff">var</span> testArr = createRandomArr(1000<span style="color: #000000">);
  </span><span style="color: #008000">//</span><span style="color: #008000">  记录选择排序所用时间</span>
  console.time('selectionSort'<span style="color: #000000">);
  selectionSort(testArr);
  console.timeEnd(</span>'selectionSort'<span style="color: #000000">);
  </span><span style="color: #0000ff">var</span> testArr = createRandomArr(1000<span style="color: #000000">);
  </span><span style="color: #008000">//</span><span style="color: #008000">  记录插入排序所用时间</span>
  console.time('insertionSort'<span style="color: #000000">);
  insertionSort(testArr);
  console.timeEnd(</span>'insertionSort');</pre>
</div>
<p>在Chrome执行代码,在控制台看看他们的执行时间对比, Duang Duang Duang!</p>
<p><img src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTlwYldGblpYTXlNREU0TG1OdVlteHZaM011WTI5dEwySnNiMmN2TVRBMU5UYzFNeTh5TURFNE1EUXZNVEExTlRjMU15MHlNREU0TURReE56RXdORGcwT1RFek1DMHpOREk1TURFME5EZ3VjRzVu" alt=""></p>
<p>当然, 要进行多次运行, 得到的结果才能被视为有效的结论. 很显然, 插入排序比其他两种排序方法快.</p>
<p> </p>
<p><span style="font-size: 12px"><em>注: 文中图片转自: https://www.cnblogs.com/onepixel/articles/7674659.html</em></span></p>
<p> </p>
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