assets/Having-Condition.html-BJVPlfST.js - iotdb-website - Git at Google

 import{_ as n,o as s,c as a,e}from"./app-Bx8hKGcu.js";const t={},o=e(`<h1 id="聚合结果过滤" tabindex="-1"><a class="header-anchor" href="#聚合结果过滤"><span>聚合结果过滤</span></a></h1><p>如果想对聚合查询的结果进行过滤，可以在 <code>GROUP BY</code> 子句之后使用 <code>HAVING</code> 子句。</p><p><strong>注意：</strong></p><ol><li><p><code>HAVING</code>子句中的过滤条件必须由聚合值构成，原始序列不能单独出现。</p><p>下列使用方式是不正确的：</p><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator">*</span><span class="token operator">*</span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span> <span class="token keyword">having</span> <span class="token function">sum</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token operator">&gt;</span> s1
 <span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator">*</span><span class="token operator">*</span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span> <span class="token keyword">having</span> s1 <span class="token operator">&gt;</span> <span class="token number">1</span>
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div></li><li><p>对<code>GROUP BY LEVEL</code>结果进行过滤时，<code>SELECT</code>和<code>HAVING</code>中出现的PATH只能有一级。</p><p>下列使用方式是不正确的：</p><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator">*</span><span class="token operator">*</span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token keyword">level</span><span class="token operator">=</span><span class="token number">1</span> <span class="token keyword">having</span> <span class="token function">sum</span><span class="token punctuation">(</span>d1<span class="token punctuation">.</span>s1<span class="token punctuation">)</span> <span class="token operator">&gt;</span> <span class="token number">1</span>
 <span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>d1<span class="token punctuation">.</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator">*</span><span class="token operator">*</span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token keyword">level</span><span class="token operator">=</span><span class="token number">1</span> <span class="token keyword">having</span> <span class="token function">sum</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token operator">&gt;</span> <span class="token number">1</span>
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div></li></ol><p><strong>SQL 示例：</strong></p><ul><li><p><strong>示例 1：</strong></p><p>对于以下聚合结果进行过滤：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+---------------------+---------------------+
 |                         Time|count(root.test.*.s1)|count(root.test.*.s2)|
 +-----------------------------+---------------------+---------------------+
 |1970-01-01T08:00:00.001+08:00|                    4|                    4|
 |1970-01-01T08:00:00.003+08:00|                    1|                    0|
 |1970-01-01T08:00:00.005+08:00|                    2|                    4|
 |1970-01-01T08:00:00.007+08:00|                    3|                    2|
 |1970-01-01T08:00:00.009+08:00|                    4|                    4|
 +-----------------------------+---------------------+---------------------+
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code> <span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator">*</span><span class="token operator">*</span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">11</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">2</span>ms<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token keyword">level</span><span class="token operator">=</span><span class="token number">1</span> <span class="token keyword">having</span> <span class="token function">count</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token operator">&gt;</span> <span class="token number">2</span><span class="token punctuation">;</span>
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果如下：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+---------------------+
 |                         Time|count(root.test.*.s1)|
 +-----------------------------+---------------------+
 |1970-01-01T08:00:00.001+08:00|                    4|
 |1970-01-01T08:00:00.005+08:00|                    2|
 |1970-01-01T08:00:00.009+08:00|                    4|
 +-----------------------------+---------------------+
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div></li><li><p><strong>示例 2：</strong></p><p>对于以下聚合结果进行过滤：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+-------------+---------+---------+
 |                         Time|       Device|count(s1)|count(s2)|
 +-----------------------------+-------------+---------+---------+
 |1970-01-01T08:00:00.001+08:00|root.test.sg1|        1|        2|
 |1970-01-01T08:00:00.003+08:00|root.test.sg1|        1|        0|
 |1970-01-01T08:00:00.005+08:00|root.test.sg1|        1|        2|
 |1970-01-01T08:00:00.007+08:00|root.test.sg1|        2|        1|
 |1970-01-01T08:00:00.009+08:00|root.test.sg1|        2|        2|
 |1970-01-01T08:00:00.001+08:00|root.test.sg2|        2|        2|
 |1970-01-01T08:00:00.003+08:00|root.test.sg2|        0|        0|
 |1970-01-01T08:00:00.005+08:00|root.test.sg2|        1|        2|
 |1970-01-01T08:00:00.007+08:00|root.test.sg2|        1|        1|
 |1970-01-01T08:00:00.009+08:00|root.test.sg2|        2|        2|
 +-----------------------------+-------------+---------+---------+
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code> <span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token function">count</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator">*</span><span class="token operator">*</span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">11</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">2</span>ms<span class="token punctuation">)</span> <span class="token keyword">having</span> <span class="token function">count</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token operator">&gt;</span> <span class="token number">1</span> align <span class="token keyword">by</span> device<span class="token punctuation">;</span>
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果如下：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+-------------+---------+---------+
 |                         Time|       Device|count(s1)|count(s2)|
 +-----------------------------+-------------+---------+---------+
 |1970-01-01T08:00:00.001+08:00|root.test.sg1|        1|        2|
 |1970-01-01T08:00:00.005+08:00|root.test.sg1|        1|        2|
 |1970-01-01T08:00:00.009+08:00|root.test.sg1|        2|        2|
 |1970-01-01T08:00:00.001+08:00|root.test.sg2|        2|        2|
 |1970-01-01T08:00:00.005+08:00|root.test.sg2|        1|        2|
 |1970-01-01T08:00:00.009+08:00|root.test.sg2|        2|        2|
 +-----------------------------+-------------+---------+---------+
 </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div></li></ul>`,6),p=[o];function c(l,i){return s(),a("div",null,p)}const r=n(t,[["render",c],["__file","Having-Condition.html.vue"]]),d=JSON.parse('{"path":"/zh/UserGuide/V1.0.x/Query-Data/Having-Condition.html","title":"聚合结果过滤","lang":"zh-CN","frontmatter":{"description":"聚合结果过滤 如果想对聚合查询的结果进行过滤，可以在 GROUP BY 子句之后使用 HAVING 子句。 注意： HAVING子句中的过滤条件必须由聚合值构成，原始序列不能单独出现。 下列使用方式是不正确的： 对GROUP BY LEVEL结果进行过滤时，SELECT和HAVING中出现的PATH只能有一级。 下列使用方式是不正确的： SQL 示例：...","head":[["link",{"rel":"alternate","hreflang":"en-us","href":"https://iotdb.apache.org/UserGuide/V1.0.x/Query-Data/Having-Condition.html"}],["meta",{"property":"og:url","content":"https://iotdb.apache.org/zh/UserGuide/V1.0.x/Query-Data/Having-Condition.html"}],["meta",{"property":"og:site_name","content":"IoTDB Website"}],["meta",{"property":"og:title","content":"聚合结果过滤"}],["meta",{"property":"og:description","content":"聚合结果过滤 如果想对聚合查询的结果进行过滤，可以在 GROUP BY 子句之后使用 HAVING 子句。 注意： HAVING子句中的过滤条件必须由聚合值构成，原始序列不能单独出现。 下列使用方式是不正确的： 对GROUP BY LEVEL结果进行过滤时，SELECT和HAVING中出现的PATH只能有一级。 下列使用方式是不正确的： SQL 示例：..."}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"zh-CN"}],["meta",{"property":"og:locale:alternate","content":"en-US"}],["meta",{"property":"og:updated_time","content":"2023-07-10T03:11:17.000Z"}],["meta",{"property":"article:modified_time","content":"2023-07-10T03:11:17.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"聚合结果过滤\\",\\"image\\":[\\"\\"],\\"dateModified\\":\\"2023-07-10T03:11:17.000Z\\",\\"author\\":[]}"]]},"headers":[],"git":{"createdTime":1688958677000,"updatedTime":1688958677000,"contributors":[{"name":"CritasWang","email":"critas@outlook.com","commits":1}]},"readingTime":{"minutes":2.07,"words":621},"filePathRelative":"zh/UserGuide/V1.0.x/Query-Data/Having-Condition.md","localizedDate":"2023年7月10日","autoDesc":true}');export{r as comp,d as data};
	import{_ as n,o as s,c as a,e}from"./app-Bx8hKGcu.js";const t={},o=e(`<h1 id="聚合结果过滤" tabindex="-1"><a class="header-anchor" href="#聚合结果过滤"><span>聚合结果过滤</span></a></h1><p>如果想对聚合查询的结果进行过滤，可以在 <code>GROUP BY</code> 子句之后使用 <code>HAVING</code> 子句。</p><p><strong>注意：</strong></p><ol><li><p><code>HAVING</code>子句中的过滤条件必须由聚合值构成，原始序列不能单独出现。</p><p>下列使用方式是不正确的：</p><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator"></span><span class="token operator"></span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span> <span class="token keyword">having</span> <span class="token function">sum</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token operator">></span> s1
	<span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator"></span><span class="token operator"></span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span> <span class="token keyword">having</span> s1 <span class="token operator">></span> <span class="token number">1</span>
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div></li><li><p>对<code>GROUP BY LEVEL</code>结果进行过滤时，<code>SELECT</code>和<code>HAVING</code>中出现的PATH只能有一级。</p><p>下列使用方式是不正确的：</p><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator"></span><span class="token operator"></span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token keyword">level</span><span class="token operator">=</span><span class="token number">1</span> <span class="token keyword">having</span> <span class="token function">sum</span><span class="token punctuation">(</span>d1<span class="token punctuation">.</span>s1<span class="token punctuation">)</span> <span class="token operator">></span> <span class="token number">1</span>
	<span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>d1<span class="token punctuation">.</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator"></span><span class="token operator"></span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">1</span>ms<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token keyword">level</span><span class="token operator">=</span><span class="token number">1</span> <span class="token keyword">having</span> <span class="token function">sum</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token operator">></span> <span class="token number">1</span>
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div></li></ol><p><strong>SQL 示例：</strong></p><ul><li><p><strong>示例 1：</strong></p><p>对于以下聚合结果进行过滤：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+---------------------+---------------------+
	\| Time\|count(root.test..s1)\|count(root.test..s2)\|
	+-----------------------------+---------------------+---------------------+
	\|1970-01-01T08:00:00.001+08:00\| 4\| 4\|
	\|1970-01-01T08:00:00.003+08:00\| 1\| 0\|
	\|1970-01-01T08:00:00.005+08:00\| 2\| 4\|
	\|1970-01-01T08:00:00.007+08:00\| 3\| 2\|
	\|1970-01-01T08:00:00.009+08:00\| 4\| 4\|
	+-----------------------------+---------------------+---------------------+
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code> <span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator"></span><span class="token operator"></span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">11</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">2</span>ms<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token keyword">level</span><span class="token operator">=</span><span class="token number">1</span> <span class="token keyword">having</span> <span class="token function">count</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token operator">></span> <span class="token number">2</span><span class="token punctuation">;</span>
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果如下：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+---------------------+
	\| Time\|count(root.test.*.s1)\|
	+-----------------------------+---------------------+
	\|1970-01-01T08:00:00.001+08:00\| 4\|
	\|1970-01-01T08:00:00.005+08:00\| 2\|
	\|1970-01-01T08:00:00.009+08:00\| 4\|
	+-----------------------------+---------------------+
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div></li><li><p><strong>示例 2：</strong></p><p>对于以下聚合结果进行过滤：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+-------------+---------+---------+
	\| Time\| Device\|count(s1)\|count(s2)\|
	+-----------------------------+-------------+---------+---------+
	\|1970-01-01T08:00:00.001+08:00\|root.test.sg1\| 1\| 2\|
	\|1970-01-01T08:00:00.003+08:00\|root.test.sg1\| 1\| 0\|
	\|1970-01-01T08:00:00.005+08:00\|root.test.sg1\| 1\| 2\|
	\|1970-01-01T08:00:00.007+08:00\|root.test.sg1\| 2\| 1\|
	\|1970-01-01T08:00:00.009+08:00\|root.test.sg1\| 2\| 2\|
	\|1970-01-01T08:00:00.001+08:00\|root.test.sg2\| 2\| 2\|
	\|1970-01-01T08:00:00.003+08:00\|root.test.sg2\| 0\| 0\|
	\|1970-01-01T08:00:00.005+08:00\|root.test.sg2\| 1\| 2\|
	\|1970-01-01T08:00:00.007+08:00\|root.test.sg2\| 1\| 1\|
	\|1970-01-01T08:00:00.009+08:00\|root.test.sg2\| 2\| 2\|
	+-----------------------------+-------------+---------+---------+
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><div class="language-sql line-numbers-mode" data-ext="sql" data-title="sql"><pre class="language-sql"><code> <span class="token keyword">select</span> <span class="token function">count</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token function">count</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span><span class="token operator"></span><span class="token operator"></span> <span class="token keyword">group</span> <span class="token keyword">by</span> <span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">11</span><span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">2</span>ms<span class="token punctuation">)</span> <span class="token keyword">having</span> <span class="token function">count</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token operator">></span> <span class="token number">1</span> align <span class="token keyword">by</span> device<span class="token punctuation">;</span>
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果如下：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>+-----------------------------+-------------+---------+---------+
	\| Time\| Device\|count(s1)\|count(s2)\|
	+-----------------------------+-------------+---------+---------+
	\|1970-01-01T08:00:00.001+08:00\|root.test.sg1\| 1\| 2\|
	\|1970-01-01T08:00:00.005+08:00\|root.test.sg1\| 1\| 2\|
	\|1970-01-01T08:00:00.009+08:00\|root.test.sg1\| 2\| 2\|
	\|1970-01-01T08:00:00.001+08:00\|root.test.sg2\| 2\| 2\|
	\|1970-01-01T08:00:00.005+08:00\|root.test.sg2\| 1\| 2\|
	\|1970-01-01T08:00:00.009+08:00\|root.test.sg2\| 2\| 2\|
	+-----------------------------+-------------+---------+---------+
	</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div></li></ul>`,6),p=[o];function c(l,i){return s(),a("div",null,p)}const r=n(t,[["render",c],["__file","Having-Condition.html.vue"]]),d=JSON.parse('{"path":"/zh/UserGuide/V1.0.x/Query-Data/Having-Condition.html","title":"聚合结果过滤","lang":"zh-CN","frontmatter":{"description":"聚合结果过滤如果想对聚合查询的结果进行过滤，可以在 GROUP BY 子句之后使用 HAVING 子句。注意： HAVING子句中的过滤条件必须由聚合值构成，原始序列不能单独出现。下列使用方式是不正确的：对GROUP BY LEVEL结果进行过滤时，SELECT和HAVING中出现的PATH只能有一级。下列使用方式是不正确的： SQL 示例：...","head":[["link",{"rel":"alternate","hreflang":"en-us","href":"https://iotdb.apache.org/UserGuide/V1.0.x/Query-Data/Having-Condition.html"}],["meta",{"property":"og:url","content":"https://iotdb.apache.org/zh/UserGuide/V1.0.x/Query-Data/Having-Condition.html"}],["meta",{"property":"og:site_name","content":"IoTDB Website"}],["meta",{"property":"og:title","content":"聚合结果过滤"}],["meta",{"property":"og:description","content":"聚合结果过滤如果想对聚合查询的结果进行过滤，可以在 GROUP BY 子句之后使用 HAVING 子句。注意： HAVING子句中的过滤条件必须由聚合值构成，原始序列不能单独出现。下列使用方式是不正确的：对GROUP BY LEVEL结果进行过滤时，SELECT和HAVING中出现的PATH只能有一级。下列使用方式是不正确的： SQL 示例：..."}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"zh-CN"}],["meta",{"property":"og:locale:alternate","content":"en-US"}],["meta",{"property":"og:updated_time","content":"2023-07-10T03:11:17.000Z"}],["meta",{"property":"article:modified_time","content":"2023-07-10T03:11:17.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"聚合结果过滤\\",\\"image\\":[\\"\\"],\\"dateModified\\":\\"2023-07-10T03:11:17.000Z\\",\\"author\\":[]}"]]},"headers":[],"git":{"createdTime":1688958677000,"updatedTime":1688958677000,"contributors":[{"name":"CritasWang","email":"critas@outlook.com","commits":1}]},"readingTime":{"minutes":2.07,"words":621},"filePathRelative":"zh/UserGuide/V1.0.x/Query-Data/Having-Condition.md","localizedDate":"2023年7月10日","autoDesc":true}');export{r as comp,d as data};