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| <span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></nav> <ul class="sidebar-links"><li><section class="sidebar-group depth-0"><p class="sidebar-heading"><span>IoTDB用户手册 (In progress)</span> <!----></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>IoTDB简介</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>快速上手</span> <span class="arrow right"></span></p> 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class="sidebar-link">错误处理</a></li></ul></li><li><a href="/zh/UserGuide/Master/Query-Data/Result-Format.html" class="sidebar-link">查询结果对齐格式</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Result-Format.html#按设备对齐" class="sidebar-link">按设备对齐</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Result-Format.html#时序不对齐" class="sidebar-link">时序不对齐</a></li></ul></li><li><a href="/zh/UserGuide/Master/Query-Data/Aggregate-Query.html" class="sidebar-link">聚合查询</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Aggregate-Query.html#内置聚合函数" class="sidebar-link">内置聚合函数</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Aggregate-Query.html#分层聚合查询" class="sidebar-link">分层聚合查询</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Aggregate-Query.html#时间区间分段聚合" class="sidebar-link">时间区间分段聚合</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Aggregate-Query.html#时间区间和路径层级混合聚合查询" class="sidebar-link">时间区间和路径层级混合聚合查询</a></li></ul></li><li><a href="/zh/UserGuide/Master/Query-Data/Last-Query.html" class="sidebar-link">最新点查询</a></li><li><a href="/zh/UserGuide/Master/Query-Data/Fill-Null-Value.html" class="sidebar-link">空值填充</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Fill-Null-Value.html#填充方法" class="sidebar-link">填充方法</a></li></ul></li><li><a href="/zh/UserGuide/Master/Query-Data/Without-Null.html" class="sidebar-link">空值过滤</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Without-Null.html#不指定列" class="sidebar-link">不指定列</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/Master/Query-Data/Without-Null.html#指定列" class="sidebar-link">指定列</a></li></ul></li><li><a href="/zh/UserGuide/Master/Query-Data/Tracing-Tool.html" class="sidebar-link">查询性能追踪</a></li></ul></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>数据处理</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>权限管理</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>运维工具</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>系统集成</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>分布式</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>UDF 资料库</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>参考</span> <span class="arrow right"></span></p> <!----></section></li></ul> </aside> <main class="page"> <div class="content content__default"><h1 id="选择表达式"><a href="#选择表达式" class="header-anchor">#</a> 选择表达式</h1> <h2 id="语法定义"><a href="#语法定义" class="header-anchor">#</a> 语法定义</h2> <p>选择表达式（<code>selectExpr</code>）是 SELECT 子句的组成单元，每个 <code>selectExpr</code> 对应查询结果集中的一列，其语法定义如下：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code>selectClause |
| : <span class="token keyword">SELECT</span> resultColumn <span class="token punctuation">(</span><span class="token string">','</span> resultColumn<span class="token punctuation">)</span><span class="token operator">*</span> |
| <span class="token punctuation">;</span> |
| |
| resultColumn |
| : selectExpr <span class="token punctuation">(</span><span class="token keyword">AS</span> alias<span class="token punctuation">)</span>? |
| <span class="token punctuation">;</span> |
| |
| selectExpr |
| : <span class="token string">'('</span> selectExpr <span class="token string">')'</span> |
| <span class="token operator">|</span> <span class="token string">'-'</span> selectExpr |
| <span class="token operator">|</span> <span class="token string">'!'</span> selectExpr |
| <span class="token operator">|</span> selectExpr <span class="token punctuation">(</span><span class="token string">'*'</span> <span class="token operator">|</span> <span class="token string">'/'</span> <span class="token operator">|</span> <span class="token string">'%'</span><span class="token punctuation">)</span> selectExpr |
| <span class="token operator">|</span> selectExpr <span class="token punctuation">(</span><span class="token string">'+'</span> <span class="token operator">|</span> <span class="token string">'-'</span><span class="token punctuation">)</span> selectExpr |
| <span class="token operator">|</span> selectExpr <span class="token punctuation">(</span><span class="token string">'>'</span> <span class="token operator">|</span> <span class="token string">'>='</span> <span class="token operator">|</span> <span class="token string">'<'</span> <span class="token operator">|</span> <span class="token string">'<='</span> <span class="token operator">|</span> <span class="token string">'=='</span> <span class="token operator">|</span> <span class="token string">'!='</span><span class="token punctuation">)</span> selectExpr |
| <span class="token operator">|</span> selectExpr <span class="token punctuation">(</span><span class="token operator">AND</span> <span class="token operator">|</span> <span class="token operator">OR</span><span class="token punctuation">)</span> selectExpr |
| <span class="token operator">|</span> functionName <span class="token string">'('</span> selectExpr <span class="token punctuation">(</span><span class="token string">','</span> selectExpr<span class="token punctuation">)</span><span class="token operator">*</span> functionAttribute<span class="token operator">*</span> <span class="token string">')'</span> |
| <span class="token operator">|</span> timeSeriesSuffixPath |
| <span class="token operator">|</span> number |
| <span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br></div></div><p>由该语法定义可知，<code>selectExpr</code> 可以包含：</p> <ul><li>时间序列路径后缀</li> <li>函数 |
| <ul><li>内置聚合函数，详见 <a href="/zh/UserGuide/Master/Query-Data/Aggregate-Query.html">聚合查询</a> 。</li> <li>时间序列生成函数</li> <li>用户自定义函数，详见 <a href="/zh/UserGuide/Master/Process-Data/UDF-User-Defined-Function.html">UDF</a> 。</li></ul></li> <li>表达式 |
| <ul><li>算数运算表达式</li> <li>逻辑运算表达式</li> <li>时间序列查询嵌套表达式</li> <li>聚合查询嵌套表达式</li></ul></li> <li>数字常量（仅用于表达式）</li></ul> <h2 id="算数运算查询"><a href="#算数运算查询" class="header-anchor">#</a> 算数运算查询</h2> <blockquote><p>请注意，目前对齐时间序列(Aligned Timeseries)尚不支持算数运算查询。算数运算所选时间序列包含对齐时间序列时，会提示错误。</p></blockquote> <h3 id="运算符"><a href="#运算符" class="header-anchor">#</a> 运算符</h3> <h4 id="一元算数运算符"><a href="#一元算数运算符" class="header-anchor">#</a> 一元算数运算符</h4> <p>支持的运算符：<code>+</code>, <code>-</code></p> <p>输入数据类型要求：<code>INT32</code>, <code>INT64</code>, <code>FLOAT</code>, <code>DOUBLE</code></p> <p>输出数据类型：与输入数据类型一致</p> <h4 id="二元算数运算符"><a href="#二元算数运算符" class="header-anchor">#</a> 二元算数运算符</h4> <p>支持的运算符：<code>+</code>, <code>-</code>, <code>*</code>, <code>/</code>, <code>%</code></p> <p>输入数据类型要求：<code>INT32</code>, <code>INT64</code>, <code>FLOAT</code>和<code>DOUBLE</code></p> <p>输出数据类型：<code>DOUBLE</code></p> <p>注意：当某个时间戳下左操作数和右操作数都不为空（<code>null</code>）时，二元运算操作才会有输出结果</p> <h3 id="使用示例"><a href="#使用示例" class="header-anchor">#</a> 使用示例</h3> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> <span class="token operator">-</span> s1<span class="token punctuation">,</span> s2<span class="token punctuation">,</span> <span class="token operator">+</span> s2<span class="token punctuation">,</span> s1 <span class="token operator">+</span> s2<span class="token punctuation">,</span> s1 <span class="token operator">-</span> s2<span class="token punctuation">,</span> s1 <span class="token operator">*</span> s2<span class="token punctuation">,</span> s1 <span class="token operator">/</span> s2<span class="token punctuation">,</span> s1 <span class="token operator">%</span> s2 <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg<span class="token punctuation">.</span>d1 |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-------------+--------------+-------------+-------------+-----------------------------+-----------------------------+-----------------------------+-----------------------------+-----------------------------+ |
| | Time|root.sg.d1.s1|-root.sg.d1.s1|root.sg.d1.s2|root.sg.d1.s2|root.sg.d1.s1 + root.sg.d1.s2|root.sg.d1.s1 - root.sg.d1.s2|root.sg.d1.s1 * root.sg.d1.s2|root.sg.d1.s1 / root.sg.d1.s2|root.sg.d1.s1 % root.sg.d1.s2| |
| +-----------------------------+-------------+--------------+-------------+-------------+-----------------------------+-----------------------------+-----------------------------+-----------------------------+-----------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 1.0| -1.0| 1.0| 1.0| 2.0| 0.0| 1.0| 1.0| 0.0| |
| |1970-01-01T08:00:00.002+08:00| 2.0| -2.0| 2.0| 2.0| 4.0| 0.0| 4.0| 1.0| 0.0| |
| |1970-01-01T08:00:00.003+08:00| 3.0| -3.0| 3.0| 3.0| 6.0| 0.0| 9.0| 1.0| 0.0| |
| |1970-01-01T08:00:00.004+08:00| 4.0| -4.0| 4.0| 4.0| 8.0| 0.0| 16.0| 1.0| 0.0| |
| |1970-01-01T08:00:00.005+08:00| 5.0| -5.0| 5.0| 5.0| 10.0| 0.0| 25.0| 1.0| 0.0| |
| +-----------------------------+-------------+--------------+-------------+-------------+-----------------------------+-----------------------------+-----------------------------+-----------------------------+-----------------------------+ |
| Total line number = 5 |
| It costs 0.014s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><h2 id="逻辑运算查询"><a href="#逻辑运算查询" class="header-anchor">#</a> 逻辑运算查询</h2> <h3 id="运算符-2"><a href="#运算符-2" class="header-anchor">#</a> 运算符</h3> <h4 id="一元逻辑运算符"><a href="#一元逻辑运算符" class="header-anchor">#</a> 一元逻辑运算符</h4> <p>支持运算符 <code>!</code></p> <p>输入数据类型：<code>BOOLEAN</code></p> <p>输出数据类型：<code>BOOLEAN</code></p> <p>注意：<code>!</code>的优先级很高，记得使用括号调整优先级</p> <h4 id="二元比较运算符"><a href="#二元比较运算符" class="header-anchor">#</a> 二元比较运算符</h4> <p>支持运算符 <code>></code>, <code>>=</code>, <code><</code>, <code><=</code>, <code>==</code>, <code>!=</code></p> <p>输入数据类型： <code>INT32</code>, <code>INT64</code>, <code>FLOAT</code>, <code>DOUBLE</code></p> <p>注意：会将所有数据转换为<code>DOUBLE</code>类型后进行比较。<code>==</code>和<code>!=</code>可以直接比较两个<code>BOOLEAN</code></p> <p>返回类型：<code>BOOLEAN</code></p> <h4 id="二元逻辑运算符"><a href="#二元逻辑运算符" class="header-anchor">#</a> 二元逻辑运算符</h4> <p>支持运算符 AND:<code>and</code>,<code>&</code>, <code>&&</code>; OR:<code>or</code>,<code>|</code>,<code>||</code></p> <p>输入数据类型：<code>BOOLEAN</code></p> <p>返回类型 <code>BOOLEAN</code></p> <p>注意：当某个时间戳下左操作数和右操作数都为<code>BOOLEAN</code>类型时，二元逻辑操作才会有输出结果</p> <h4 id="in-运算符"><a href="#in-运算符" class="header-anchor">#</a> IN 运算符</h4> <p>支持运算符 <code>IN</code></p> <p>输入数据类型：<code>All Types</code></p> <p>返回类型 <code>BOOLEAN</code></p> <h4 id="字符串匹配运算符"><a href="#字符串匹配运算符" class="header-anchor">#</a> 字符串匹配运算符</h4> <p>支持运算符 <code>LIKE</code>, <code>REGEXP</code></p> <p>输入数据类型：<code>TEXT</code></p> <p>返回类型：<code>BOOLEAN</code></p> <h3 id="使用示例-2"><a href="#使用示例-2" class="header-anchor">#</a> 使用示例</h3> <p>输入1：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> a<span class="token punctuation">,</span> b<span class="token punctuation">,</span> a <span class="token operator">></span> <span class="token number">10</span><span class="token punctuation">,</span> a <span class="token operator"><=</span> b<span class="token punctuation">,</span> <span class="token operator">!</span><span class="token punctuation">(</span>a <span class="token operator"><=</span> b<span class="token punctuation">)</span><span class="token punctuation">,</span> a <span class="token operator">></span> <span class="token number">10</span> <span class="token operator">&&</span> a <span class="token operator">></span> b <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出1:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select a, b, a > 10, a <= b, !(a <= b), a > 10 && a > b from root.test; |
| +-----------------------------+-----------+-----------+----------------+--------------------------+---------------------------+------------------------------------------------+ |
| | Time|root.test.a|root.test.b|root.test.a > 10|root.test.a <= root.test.b|!root.test.a <= root.test.b|(root.test.a > 10) & (root.test.a > root.test.b)| |
| +-----------------------------+-----------+-----------+----------------+--------------------------+---------------------------+------------------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 23| 10.0| true| false| true| true| |
| |1970-01-01T08:00:00.002+08:00| 33| 21.0| true| false| true| true| |
| |1970-01-01T08:00:00.004+08:00| 13| 15.0| true| true| false| false| |
| |1970-01-01T08:00:00.005+08:00| 26| 0.0| true| false| true| true| |
| |1970-01-01T08:00:00.008+08:00| 1| 22.0| false| true| false| false| |
| |1970-01-01T08:00:00.010+08:00| 23| 12.0| true| false| true| true| |
| +-----------------------------+-----------+-----------+----------------+--------------------------+---------------------------+------------------------------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><p>输入2:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> a<span class="token punctuation">,</span> b<span class="token punctuation">,</span> a <span class="token operator">in</span> <span class="token punctuation">(</span><span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">)</span><span class="token punctuation">,</span> b <span class="token operator">like</span> <span class="token string">'1%'</span><span class="token punctuation">,</span> b <span class="token operator">regexp</span> <span class="token string">'[0-2]'</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出2:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-----------+-----------+--------------------+-------------------------+--------------------------+ |
| | Time|root.test.a|root.test.b|root.test.a IN (1,2)|root.test.b LIKE '^1.*?$'|root.test.b REGEXP '[0-2]'| |
| +-----------------------------+-----------+-----------+--------------------+-------------------------+--------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 1| 111test111| true| true| true| |
| |1970-01-01T08:00:00.003+08:00| 3| 333test333| false| false| false| |
| +-----------------------------+-----------+-----------+--------------------+-------------------------+--------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br></div></div><h2 id="运算符优先级"><a href="#运算符优先级" class="header-anchor">#</a> 运算符优先级</h2> <table><thead><tr><th>优先级</th> <th>运算符</th> <th>含义</th></tr></thead> <tbody><tr><td>1</td> <td><code>-</code></td> <td>单目运算符负号</td></tr> <tr><td>1</td> <td><code>+</code></td> <td>单目运算符正号</td></tr> <tr><td>1</td> <td><code>!</code></td> <td>单目运算符取非</td></tr> <tr><td>2</td> <td><code>*</code></td> <td>双目运算符乘</td></tr> <tr><td>2</td> <td><code>/</code></td> <td>双目运算符除</td></tr> <tr><td>2</td> <td><code>%</code></td> <td>双目运算符取余</td></tr> <tr><td>3</td> <td><code>+</code></td> <td>双目运算符加</td></tr> <tr><td>3</td> <td><code>-</code></td> <td>双目运算符减</td></tr> <tr><td>4</td> <td><code>></code></td> <td>双目比较运算符大于</td></tr> <tr><td>4</td> <td><code>>=</code></td> <td>双目比较运算符大于等于</td></tr> <tr><td>4</td> <td><code><</code></td> <td>双目比较运算符小于</td></tr> <tr><td>4</td> <td><code><=</code></td> <td>双目比较运算符小于等于</td></tr> <tr><td>4</td> <td><code>==</code></td> <td>双目比较运算符等于</td></tr> <tr><td>4</td> <td><code>!=</code>/<code><></code></td> <td>双目比较运算符不等于</td></tr> <tr><td>5</td> <td><code>REGEXP</code></td> <td><code>REGEXP</code>运算符</td></tr> <tr><td>5</td> <td><code>LIKE</code></td> <td><code>LIKE</code>运算符</td></tr> <tr><td>6</td> <td><code>IN</code></td> <td><code>IN</code>运算符</td></tr> <tr><td>7</td> <td><code>and</code>/<code>&</code>/<code>&&</code></td> <td>双目逻辑运算符与</td></tr> <tr><td>8</td> <td><code>or</code>/ | / ||</td> <td>双目逻辑运算符或</td></tr></tbody></table> <h2 id="内置时间序列生成函数"><a href="#内置时间序列生成函数" class="header-anchor">#</a> 内置时间序列生成函数</h2> <p>时间序列生成函数可接受若干原始时间序列作为输入，产生一列时间序列输出。与聚合函数不同的是，时间序列生成函数的结果集带有时间戳列。</p> <p>所有的时间序列生成函数都可以接受 * 作为输入，都可以与原始查询混合进行。</p> <blockquote><p>请注意，目前对齐时间序列(Aligned Timeseries)尚不支持内置函数查询。使用内置函数时，如果自变量包含对齐时间序列，会提示错误。</p></blockquote> <h3 id="数学函数"><a href="#数学函数" class="header-anchor">#</a> 数学函数</h3> <p>目前 IoTDB 支持下列数学函数，这些数学函数的行为与这些函数在 Java Math 标准库中对应实现的行为一致。</p> <table><thead><tr><th>函数名</th> <th>输入序列类型</th> <th>输出序列类型</th> <th>Java 标准库中的对应实现</th></tr></thead> <tbody><tr><td>SIN</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#sin(double)</td></tr> <tr><td>COS</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#cos(double)</td></tr> <tr><td>TAN</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#tan(double)</td></tr> <tr><td>ASIN</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#asin(double)</td></tr> <tr><td>ACOS</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#acos(double)</td></tr> <tr><td>ATAN</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#atan(double)</td></tr> <tr><td>SINH</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#sinh(double)</td></tr> <tr><td>COSH</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#cosh(double)</td></tr> <tr><td>TANH</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#tanh(double)</td></tr> <tr><td>DEGREES</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#toDegrees(double)</td></tr> <tr><td>RADIANS</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#toRadians(double)</td></tr> <tr><td>ABS</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>与输入序列的实际类型一致</td> <td>Math#abs(int) / Math#abs(long) /Math#abs(float) /Math#abs(double)</td></tr> <tr><td>SIGN</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#signum(double)</td></tr> <tr><td>CEIL</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#ceil(double)</td></tr> <tr><td>FLOOR</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#floor(double)</td></tr> <tr><td>ROUND</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#rint(double)</td></tr> <tr><td>EXP</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#exp(double)</td></tr> <tr><td>LN</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#log(double)</td></tr> <tr><td>LOG10</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#log10(double)</td></tr> <tr><td>SQRT</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>Math#sqrt(double)</td></tr></tbody></table> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> sin<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> cos<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> tan<span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1<span class="token punctuation">.</span>d1 <span class="token keyword">limit</span> <span class="token number">5</span> <span class="token keyword">offset</span> <span class="token number">1000</span><span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-------------------+-------------------+--------------------+-------------------+ |
| | Time| root.sg1.d1.s1|sin(root.sg1.d1.s1)| cos(root.sg1.d1.s1)|tan(root.sg1.d1.s1)| |
| +-----------------------------+-------------------+-------------------+--------------------+-------------------+ |
| |2020-12-10T17:11:49.037+08:00|7360723084922759782| 0.8133527237573284| 0.5817708713544664| 1.3980636773094157| |
| |2020-12-10T17:11:49.038+08:00|4377791063319964531|-0.8938962705202537| 0.4482738644511651| -1.994085181866842| |
| |2020-12-10T17:11:49.039+08:00|7972485567734642915| 0.9627757585308978|-0.27030138509681073|-3.5618602479083545| |
| |2020-12-10T17:11:49.040+08:00|2508858212791964081|-0.6073417341629443| -0.7944406950452296| 0.7644897069734913| |
| |2020-12-10T17:11:49.041+08:00|2817297431185141819|-0.8419358900502509| -0.5395775727782725| 1.5603611649667768| |
| +-----------------------------+-------------------+-------------------+--------------------+-------------------+ |
| Total line number = 5 |
| It costs 0.008s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><h3 id="字符串函数"><a href="#字符串函数" class="header-anchor">#</a> 字符串函数</h3> <p>目前 IoTDB 支持下列字符串处理函数：</p> <table><thead><tr><th>函数名</th> <th>输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能描述</th></tr></thead> <tbody><tr><td>STRING_CONTAINS</td> <td>TEXT</td> <td><code>s</code>: 待搜寻的字符串</td> <td>BOOLEAN</td> <td>判断字符串中是否存在<code>s</code></td></tr> <tr><td>STRING_MATCHES</td> <td>TEXT</td> <td><code>regex</code>: Java 标准库风格的正则表达式</td> <td>BOOLEAN</td> <td>判断字符串是否能够被正则表达式<code>regex</code>匹配</td></tr></tbody></table> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> string_contains<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> <span class="token string">'s'</span><span class="token operator">=</span><span class="token string">'warn'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> string_matches<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> <span class="token string">'regex'</span><span class="token operator">=</span><span class="token string">'[^\\s]+37229'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1<span class="token punctuation">.</span>d4<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+--------------+-------------------------------------------+------------------------------------------------------+ |
| | Time|root.sg1.d4.s1|string_contains(root.sg1.d4.s1, "s"="warn")|string_matches(root.sg1.d4.s1, "regex"="[^\\s]+37229")| |
| +-----------------------------+--------------+-------------------------------------------+------------------------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| warn:-8721| true| false| |
| |1970-01-01T08:00:00.002+08:00| error:-37229| false| true| |
| |1970-01-01T08:00:00.003+08:00| warn:1731| true| false| |
| +-----------------------------+--------------+-------------------------------------------+------------------------------------------------------+ |
| Total line number = 3 |
| It costs 0.007s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><h3 id="选择函数"><a href="#选择函数" class="header-anchor">#</a> 选择函数</h3> <p>目前 IoTDB 支持如下选择函数：</p> <table><thead><tr><th>函数名</th> <th>输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能描述</th></tr></thead> <tbody><tr><td>TOP_K</td> <td>INT32 / INT64 / FLOAT / DOUBLE / TEXT</td> <td><code>k</code>: 最多选择的数据点数，必须大于 0 小于等于 1000</td> <td>与输入序列的实际类型一致</td> <td>返回某时间序列中值最大的<code>k</code>个数据点。若多于<code>k</code>个数据点的值并列最大，则返回时间戳最小的数据点。</td></tr> <tr><td>BOTTOM_K</td> <td>INT32 / INT64 / FLOAT / DOUBLE / TEXT</td> <td><code>k</code>: 最多选择的数据点数，必须大于 0 小于等于 1000</td> <td>与输入序列的实际类型一致</td> <td>返回某时间序列中值最小的<code>k</code>个数据点。若多于<code>k</code>个数据点的值并列最小，则返回时间戳最小的数据点。</td></tr></tbody></table> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> top_k<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> <span class="token string">'k'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> bottom_k<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> <span class="token string">'k'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1<span class="token punctuation">.</span>d2 <span class="token keyword">where</span> <span class="token keyword">time</span> <span class="token operator">></span> <span class="token number">2020</span><span class="token operator">-</span><span class="token number">12</span><span class="token operator">-</span><span class="token number">10</span>T20:<span class="token number">36</span>:<span class="token number">15.530</span><span class="token operator">+</span><span class="token number">08</span>:<span class="token number">00</span><span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+--------------------+------------------------------+---------------------------------+ |
| | Time| root.sg1.d2.s1|top_k(root.sg1.d2.s1, "k"="2")|bottom_k(root.sg1.d2.s1, "k"="2")| |
| +-----------------------------+--------------------+------------------------------+---------------------------------+ |
| |2020-12-10T20:36:15.531+08:00| 1531604122307244742| 1531604122307244742| null| |
| |2020-12-10T20:36:15.532+08:00|-7426070874923281101| null| null| |
| |2020-12-10T20:36:15.533+08:00|-7162825364312197604| -7162825364312197604| null| |
| |2020-12-10T20:36:15.534+08:00|-8581625725655917595| null| -8581625725655917595| |
| |2020-12-10T20:36:15.535+08:00|-7667364751255535391| null| -7667364751255535391| |
| +-----------------------------+--------------------+------------------------------+---------------------------------+ |
| Total line number = 5 |
| It costs 0.006s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><h3 id="趋势计算函数"><a href="#趋势计算函数" class="header-anchor">#</a> 趋势计算函数</h3> <p>目前 IoTDB 支持如下趋势计算函数：</p> <table><thead><tr><th>函数名</th> <th>输入序列类型</th> <th>输出序列类型</th> <th>功能描述</th></tr></thead> <tbody><tr><td>TIME_DIFFERENCE</td> <td>INT32 / INT64 / FLOAT / DOUBLE / BOOLEAN / TEXT</td> <td>INT64</td> <td>统计序列中某数据点的时间戳与前一数据点时间戳的差。范围内第一个数据点没有对应的结果输出。</td></tr> <tr><td>DIFFERENCE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>与输入序列的实际类型一致</td> <td>统计序列中某数据点的值与前一数据点的值的差。范围内第一个数据点没有对应的结果输出。</td></tr> <tr><td>NON_NEGATIVE_DIFFERENCE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>与输入序列的实际类型一致</td> <td>统计序列中某数据点的值与前一数据点的值的差的绝对值。范围内第一个数据点没有对应的结果输出。</td></tr> <tr><td>DERIVATIVE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>统计序列中某数据点相对于前一数据点的变化率，数量上等同于 DIFFERENCE / TIME_DIFFERENCE。范围内第一个数据点没有对应的结果输出。</td></tr> <tr><td>NON_NEGATIVE_DERIVATIVE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>DOUBLE</td> <td>统计序列中某数据点相对于前一数据点的变化率的绝对值，数量上等同于 NON_NEGATIVE_DIFFERENCE / TIME_DIFFERENCE。范围内第一个数据点没有对应的结果输出。</td></tr></tbody></table> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> time_difference<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> difference<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> non_negative_difference<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> derivative<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> non_negative_derivative<span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1<span class="token punctuation">.</span>d1 <span class="token keyword">limit</span> <span class="token number">5</span> <span class="token keyword">offset</span> <span class="token number">1000</span><span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-------------------+-------------------------------+--------------------------+---------------------------------------+--------------------------+---------------------------------------+ |
| | Time| root.sg1.d1.s1|time_difference(root.sg1.d1.s1)|difference(root.sg1.d1.s1)|non_negative_difference(root.sg1.d1.s1)|derivative(root.sg1.d1.s1)|non_negative_derivative(root.sg1.d1.s1)| |
| +-----------------------------+-------------------+-------------------------------+--------------------------+---------------------------------------+--------------------------+---------------------------------------+ |
| |2020-12-10T17:11:49.037+08:00|7360723084922759782| 1| -8431715764844238876| 8431715764844238876| -8.4317157648442388E18| 8.4317157648442388E18| |
| |2020-12-10T17:11:49.038+08:00|4377791063319964531| 1| -2982932021602795251| 2982932021602795251| -2.982932021602795E18| 2.982932021602795E18| |
| |2020-12-10T17:11:49.039+08:00|7972485567734642915| 1| 3594694504414678384| 3594694504414678384| 3.5946945044146785E18| 3.5946945044146785E18| |
| |2020-12-10T17:11:49.040+08:00|2508858212791964081| 1| -5463627354942678834| 5463627354942678834| -5.463627354942679E18| 5.463627354942679E18| |
| |2020-12-10T17:11:49.041+08:00|2817297431185141819| 1| 308439218393177738| 308439218393177738| 3.0843921839317773E17| 3.0843921839317773E17| |
| +-----------------------------+-------------------+-------------------------------+--------------------------+---------------------------------------+--------------------------+---------------------------------------+ |
| Total line number = 5 |
| It costs 0.014s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><h3 id="常序列生成函数"><a href="#常序列生成函数" class="header-anchor">#</a> 常序列生成函数</h3> <p>常序列生成函数用于生成所有数据点的值都相同的时间序列。</p> <p>常序列生成函数接受一个或者多个时间序列输入，其输出的数据点的时间戳集合是这些输入序列时间戳集合的并集。</p> <p>目前 IoTDB 支持如下常序列生成函数：</p> <table><thead><tr><th>函数名</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能描述</th></tr></thead> <tbody><tr><td>CONST</td> <td><code>value</code>: 输出的数据点的值 <br><code>type</code>: 输出的数据点的类型，只能是 INT32 / INT64 / FLOAT / DOUBLE / BOOLEAN / TEXT</td> <td>由输入属性参数 <code>type</code> 决定</td> <td>根据输入属性 <code>value</code> 和 <code>type</code> 输出用户指定的常序列。</td></tr> <tr><td>PI</td> <td>无</td> <td>DOUBLE</td> <td>常序列的值：<code>π</code> 的 <code>double</code> 值，圆的周长与其直径的比值，即圆周率，等于 <em>Java标准库</em> 中的<code>Math.PI</code>。</td></tr> <tr><td>E</td> <td>无</td> <td>DOUBLE</td> <td>常序列的值：<code>e</code> 的 <code>double</code> 值，自然对数的底，它等于 <em>Java 标准库</em> 中的 <code>Math.E</code>。</td></tr></tbody></table> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> s2<span class="token punctuation">,</span> const<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> <span class="token string">'value'</span><span class="token operator">=</span><span class="token string">'1024'</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'INT64'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> pi<span class="token punctuation">(</span>s2<span class="token punctuation">)</span><span class="token punctuation">,</span> e<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> s2<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1<span class="token punctuation">.</span>d1<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>select s1, s2, const(s1, 'value'='1024', 'type'='INT64'), pi(s2), e(s1, s2) from root.sg1.d1; |
| +-----------------------------+--------------+--------------+-----------------------------------------------------+------------------+---------------------------------+ |
| | Time|root.sg1.d1.s1|root.sg1.d1.s2|const(root.sg1.d1.s1, "value"="1024", "type"="INT64")|pi(root.sg1.d1.s2)|e(root.sg1.d1.s1, root.sg1.d1.s2)| |
| +-----------------------------+--------------+--------------+-----------------------------------------------------+------------------+---------------------------------+ |
| |1970-01-01T08:00:00.000+08:00| 0.0| 0.0| 1024| 3.141592653589793| 2.718281828459045| |
| |1970-01-01T08:00:00.001+08:00| 1.0| null| 1024| null| 2.718281828459045| |
| |1970-01-01T08:00:00.002+08:00| 2.0| null| 1024| null| 2.718281828459045| |
| |1970-01-01T08:00:00.003+08:00| null| 3.0| null| 3.141592653589793| 2.718281828459045| |
| |1970-01-01T08:00:00.004+08:00| null| 4.0| null| 3.141592653589793| 2.718281828459045| |
| +-----------------------------+--------------+--------------+-----------------------------------------------------+------------------+---------------------------------+ |
| Total line number = 5 |
| It costs 0.005s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br></div></div><h3 id="数据类型转换函数"><a href="#数据类型转换函数" class="header-anchor">#</a> 数据类型转换函数</h3> <p>当前IoTDB支持6种数据类型，其中包括INT32、INT64、FLOAT、DOUBLE、BOOLEAN以及TEXT。当我们对数据进行查询或者计算时可能需要进行数据类型的转换， 比如说将TEXT转换为INT32，或者提高数据精度，比如说将FLOAT转换为DOUBLE。所以，IoTDB支持使用cast函数对数据类型进行转换。</p> <table><thead><tr><th>函数名</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>CAST</td> <td><code>type</code>:输出的数据点的类型，只能是 INT32 / INT64 / FLOAT / DOUBLE / BOOLEAN / TEXT</td> <td>由输入属性参数<code>type</code>决定</td> <td>将数据转换为<code>type</code>参数指定的类型。</td></tr></tbody></table> <h5 id="类型转换说明"><a href="#类型转换说明" class="header-anchor">#</a> 类型转换说明</h5> <p>1.当INT32、INT64类型的值不为0时，FLOAT与DOUBLE类型的值不为0.0时，TEXT类型不为空字符串或者"false"时，转换为BOOLEAN类型时值为true，否则为false。</p> <p>2.当BOOLEAN类型的值为true时，转换为INT32与INT64类型的值为1，转换为FLOAT或者DOUBLE类型时值为1.0，转换为TEXT类型时值为"true"。当BOOLEAN类型的值为false时，转换为INT32与INT64类型的值为0，转换为FLOAT或者DOUBLE类型时值为0.0，转换为TEXT类型时值为"false"。</p> <p>3.当TEXT类型转换为INT32、INT64、FLOAT类型时，会先将TEXT类型的数据转换为DOUBLE类型，然后再转换为对应的类型，此时可能会存在损失精度的问题。如果无法转换的话则直接跳过。</p> <h5 id="演示"><a href="#演示" class="header-anchor">#</a> 演示</h5> <p>测试数据：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select text from root.test; |
| +-----------------------------+--------------+ |
| | Time|root.test.text| |
| +-----------------------------+--------------+ |
| |1970-01-01T08:00:00.001+08:00| 1.1| |
| |1970-01-01T08:00:00.002+08:00| 1| |
| |1970-01-01T08:00:00.003+08:00| hello world| |
| |1970-01-01T08:00:00.004+08:00| false| |
| +-----------------------------+--------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><p>SQL语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> cast<span class="token punctuation">(</span><span class="token keyword">text</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'BOOLEAN'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> cast<span class="token punctuation">(</span><span class="token keyword">text</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'INT32'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> cast<span class="token punctuation">(</span><span class="token keyword">text</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'INT64'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> cast<span class="token punctuation">(</span><span class="token keyword">text</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'FLOAT'</span><span class="token punctuation">)</span><span class="token punctuation">,</span> cast<span class="token punctuation">(</span><span class="token keyword">text</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'DOUBLE'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+--------------------------------------+------------------------------------+------------------------------------+------------------------------------+-------------------------------------+ |
| | Time|cast(root.test.text, "type"="BOOLEAN")|cast(root.test.text, "type"="INT32")|cast(root.test.text, "type"="INT64")|cast(root.test.text, "type"="FLOAT")|cast(root.test.text, "type"="DOUBLE")| |
| +-----------------------------+--------------------------------------+------------------------------------+------------------------------------+------------------------------------+-------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| true| 1| 1| 1.1| 1.1| |
| |1970-01-01T08:00:00.002+08:00| true| 1| 1| 1.0| 1.0| |
| |1970-01-01T08:00:00.003+08:00| true| null| null| null| null| |
| |1970-01-01T08:00:00.004+08:00| false| null| null| null| null| |
| +-----------------------------+--------------------------------------+------------------------------------+------------------------------------+------------------------------------+-------------------------------------+ |
| Total line number = 4 |
| It costs 0.078s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br></div></div><h3 id="条件函数"><a href="#条件函数" class="header-anchor">#</a> 条件函数</h3> <p>条件函数针对每个数据点进行条件判断，返回布尔值</p> <p>目前IoTDB支持以下条件函数</p> <table><thead><tr><th>函数名</th> <th>可接收的输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>ON_OFF</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td><code>threshold</code>:DOUBLE类型</td> <td>BOOLEAN 类型</td> <td>返回<code>ts_value >= threshold</code>的bool值</td></tr> <tr><td>IN_RANGE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td><code>lower</code>:DOUBLE类型<br><code>upper</code>:DOUBLE类型</td> <td>BOOLEAN类型</td> <td>返回<code>ts_value >= lower && ts_value <= upper</code>的bool值</td></tr></tbody></table> <p>测试数据：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select ts from root.test; |
| +-----------------------------+------------+ |
| | Time|root.test.ts| |
| +-----------------------------+------------+ |
| |1970-01-01T08:00:00.001+08:00| 1| |
| |1970-01-01T08:00:00.002+08:00| 2| |
| |1970-01-01T08:00:00.003+08:00| 3| |
| |1970-01-01T08:00:00.004+08:00| 4| |
| +-----------------------------+------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><h5 id="测试1"><a href="#测试1" class="header-anchor">#</a> 测试1</h5> <p>SQL语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> ts<span class="token punctuation">,</span> on_off<span class="token punctuation">(</span>ts<span class="token punctuation">,</span> <span class="token string">'threshold'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select ts, on_off(ts, 'threshold'='2') from root.test; |
| +-----------------------------+------------+-------------------------------------+ |
| | Time|root.test.ts|on_off(root.test.ts, "threshold"="2")| |
| +-----------------------------+------------+-------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 1| false| |
| |1970-01-01T08:00:00.002+08:00| 2| true| |
| |1970-01-01T08:00:00.003+08:00| 3| true| |
| |1970-01-01T08:00:00.004+08:00| 4| true| |
| +-----------------------------+------------+-------------------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><h5 id="测试2"><a href="#测试2" class="header-anchor">#</a> 测试2</h5> <p>Sql语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> ts<span class="token punctuation">,</span> in_range<span class="token punctuation">(</span>ts<span class="token punctuation">,</span> <span class="token string">'lower'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">,</span> <span class="token string">'upper'</span><span class="token operator">=</span><span class="token string">'3.1'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select ts, in_range(ts, 'lower'='2', 'upper'='3.1') from root.test; |
| +-----------------------------+------------+--------------------------------------------------+ |
| | Time|root.test.ts|in_range(root.test.ts, "lower"="2", "upper"="3.1")| |
| +-----------------------------+------------+--------------------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 1| false| |
| |1970-01-01T08:00:00.002+08:00| 2| true| |
| |1970-01-01T08:00:00.003+08:00| 3| true| |
| |1970-01-01T08:00:00.004+08:00| 4| false| |
| +-----------------------------+------------+--------------------------------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><h3 id="连续满足区间函数"><a href="#连续满足区间函数" class="header-anchor">#</a> 连续满足区间函数</h3> <p>连续满足条件区间函数用来查询所有满足指定条件的连续区间。 |
| 按返回值可分为两类：</p> <ol><li>返回满足条件连续区间的起始时间戳和时间跨度(时间跨度为0表示此处只有起始时间这一个数据点满足条件)</li> <li>返回满足条件连续区间的起始时间戳和后面连续满足条件的点的个数（个数为1表示此处只有起始时间这一个数据点满足条件）</li></ol> <table><thead><tr><th>函数名</th> <th>输入序列类型</th> <th>属性参数</th> <th>输出序列类型</th> <th>功能描述</th></tr></thead> <tbody><tr><td>ZERO_DURATION</td> <td>INT32/ INT64/ FLOAT/ DOUBLE/ BOOLEAN</td> <td><code>min</code>:可选，默认值0<br><code>max</code>:可选，默认值<code>Long.MAX_VALUE</code></td> <td>Long</td> <td>返回时间序列连续为0(false)的开始时间与持续时间，持续时间t(单位ms)满足<code>t >= min && t <= max</code></td></tr> <tr><td>NON_ZERO_DURATION</td> <td>INT32/ INT64/ FLOAT/ DOUBLE/ BOOLEAN</td> <td><code>min</code>:可选，默认值0<br><code>max</code>:可选，默认值<code>Long.MAX_VALUE</code></td> <td>Long</td> <td>返回时间序列连续不为0(false)的开始时间与持续时间，持续时间t(单位ms)满足<code>t >= min && t <= max</code></td></tr> <tr><td>ZERO_COUNT</td> <td>INT32/ INT64/ FLOAT/ DOUBLE/ BOOLEAN</td> <td><code>min</code>:可选，默认值1<br><code>max</code>:可选，默认值<code>Long.MAX_VALUE</code></td> <td>Long</td> <td>返回时间序列连续为0(false)的开始时间与其后数据点的个数，数据点个数n满足<code>n >= min && n <= max</code></td></tr> <tr><td>NON_ZERO_COUNT</td> <td>INT32/ INT64/ FLOAT/ DOUBLE/ BOOLEAN</td> <td><code>min</code>:可选，默认值1<br><code>max</code>:可选，默认值<code>Long.MAX_VALUE</code></td> <td>Long</td> <td>返回时间序列连续不为0(false)的开始时间与其后数据点的个数，数据点个数n满足<code>n >= min && n <= max</code></td></tr></tbody></table> <h5 id="演示-2"><a href="#演示-2" class="header-anchor">#</a> 演示</h5> <p>测试数据:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select s1,s2,s3,s4,s5 from root.sg.d2; |
| +-----------------------------+-------------+-------------+-------------+-------------+-------------+ |
| | Time|root.sg.d2.s1|root.sg.d2.s2|root.sg.d2.s3|root.sg.d2.s4|root.sg.d2.s5| |
| +-----------------------------+-------------+-------------+-------------+-------------+-------------+ |
| |1970-01-01T08:00:00.000+08:00| 0| 0| 0.0| 0.0| false| |
| |1970-01-01T08:00:00.001+08:00| 1| 1| 1.0| 1.0| true| |
| |1970-01-01T08:00:00.002+08:00| 1| 1| 1.0| 1.0| true| |
| |1970-01-01T08:00:00.003+08:00| 0| 0| 0.0| 0.0| false| |
| |1970-01-01T08:00:00.004+08:00| 1| 1| 1.0| 1.0| true| |
| |1970-01-01T08:00:00.005+08:00| 0| 0| 0.0| 0.0| false| |
| |1970-01-01T08:00:00.006+08:00| 0| 0| 0.0| 0.0| false| |
| |1970-01-01T08:00:00.007+08:00| 1| 1| 1.0| 1.0| true| |
| +-----------------------------+-------------+-------------+-------------+-------------+-------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br></div></div><p>sql:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1<span class="token punctuation">,</span> zero_count<span class="token punctuation">(</span>s1<span class="token punctuation">)</span><span class="token punctuation">,</span> non_zero_count<span class="token punctuation">(</span>s2<span class="token punctuation">)</span><span class="token punctuation">,</span> zero_duration<span class="token punctuation">(</span>s3<span class="token punctuation">)</span><span class="token punctuation">,</span> non_zero_duration<span class="token punctuation">(</span>s4<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg<span class="token punctuation">.</span>d2<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-------------+-------------------------+-----------------------------+----------------------------+--------------------------------+ |
| | Time|root.sg.d2.s1|zero_count(root.sg.d2.s1)|non_zero_count(root.sg.d2.s2)|zero_duration(root.sg.d2.s3)|non_zero_duration(root.sg.d2.s4)| |
| +-----------------------------+-------------+-------------------------+-----------------------------+----------------------------+--------------------------------+ |
| |1970-01-01T08:00:00.000+08:00| 0| 1| null| 0| null| |
| |1970-01-01T08:00:00.001+08:00| 1| null| 2| null| 1| |
| |1970-01-01T08:00:00.002+08:00| 1| null| null| null| null| |
| |1970-01-01T08:00:00.003+08:00| 0| 1| null| 0| null| |
| |1970-01-01T08:00:00.004+08:00| 1| null| 1| null| 0| |
| |1970-01-01T08:00:00.005+08:00| 0| 2| null| 1| null| |
| |1970-01-01T08:00:00.006+08:00| 0| null| null| null| null| |
| |1970-01-01T08:00:00.007+08:00| 1| null| 1| null| 0| |
| +-----------------------------+-------------+-------------------------+-----------------------------+----------------------------+--------------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br></div></div><h3 id="等数量分桶降采样函数"><a href="#等数量分桶降采样函数" class="header-anchor">#</a> 等数量分桶降采样函数</h3> <p>本函数对输入序列进行等数量分桶采样，即根据用户给定的降采样比例和降采样方法将输入序列按固定点数等分为若干桶。在每个桶内通过给定的采样方法进行采样。</p> <ul><li><code>proportion</code>：降采样比例，取值区间为<code>(0, 1]</code>。</li></ul> <h4 id="等数量分桶随机采样"><a href="#等数量分桶随机采样" class="header-anchor">#</a> 等数量分桶随机采样</h4> <p>对等数量分桶后，桶内进行随机采样。</p> <table><thead><tr><th>函数名</th> <th>可接收的输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>EQUAL_SIZE_BUCKET_RANDOM_SAMPLE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td><code>proportion</code>取值范围为<code>(0, 1]</code>，默认为<code>0.1</code></td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>返回符合采样比例的等分桶随机采样</td></tr></tbody></table> <h5 id="演示-3"><a href="#演示-3" class="header-anchor">#</a> 演示</h5> <p>测试数据:<code>root.ln.wf01.wt01.temperature</code>从<code>0.0-99.0</code>共<code>100</code>条有序数据。</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select temperature from root.ln.wf01.wt01; |
| +-----------------------------+-----------------------------+ |
| | Time|root.ln.wf01.wt01.temperature| |
| +-----------------------------+-----------------------------+ |
| |1970-01-01T08:00:00.000+08:00| 0.0| |
| |1970-01-01T08:00:00.001+08:00| 1.0| |
| |1970-01-01T08:00:00.002+08:00| 2.0| |
| |1970-01-01T08:00:00.003+08:00| 3.0| |
| |1970-01-01T08:00:00.004+08:00| 4.0| |
| |1970-01-01T08:00:00.005+08:00| 5.0| |
| |1970-01-01T08:00:00.006+08:00| 6.0| |
| |1970-01-01T08:00:00.007+08:00| 7.0| |
| |1970-01-01T08:00:00.008+08:00| 8.0| |
| |1970-01-01T08:00:00.009+08:00| 9.0| |
| |1970-01-01T08:00:00.010+08:00| 10.0| |
| |1970-01-01T08:00:00.011+08:00| 11.0| |
| |1970-01-01T08:00:00.012+08:00| 12.0| |
| |.............................|.............................| |
| |1970-01-01T08:00:00.089+08:00| 89.0| |
| |1970-01-01T08:00:00.090+08:00| 90.0| |
| |1970-01-01T08:00:00.091+08:00| 91.0| |
| |1970-01-01T08:00:00.092+08:00| 92.0| |
| |1970-01-01T08:00:00.093+08:00| 93.0| |
| |1970-01-01T08:00:00.094+08:00| 94.0| |
| |1970-01-01T08:00:00.095+08:00| 95.0| |
| |1970-01-01T08:00:00.096+08:00| 96.0| |
| |1970-01-01T08:00:00.097+08:00| 97.0| |
| |1970-01-01T08:00:00.098+08:00| 98.0| |
| |1970-01-01T08:00:00.099+08:00| 99.0| |
| +-----------------------------+-----------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br><span class="line-number">27</span><br><span class="line-number">28</span><br><span class="line-number">29</span><br><span class="line-number">30</span><br></div></div><p>sql:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> equal_size_bucket_random_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> random_sample <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-------------+ |
| | Time|random_sample| |
| +-----------------------------+-------------+ |
| |1970-01-01T08:00:00.007+08:00| 7.0| |
| |1970-01-01T08:00:00.014+08:00| 14.0| |
| |1970-01-01T08:00:00.020+08:00| 20.0| |
| |1970-01-01T08:00:00.035+08:00| 35.0| |
| |1970-01-01T08:00:00.047+08:00| 47.0| |
| |1970-01-01T08:00:00.059+08:00| 59.0| |
| |1970-01-01T08:00:00.063+08:00| 63.0| |
| |1970-01-01T08:00:00.079+08:00| 79.0| |
| |1970-01-01T08:00:00.086+08:00| 86.0| |
| |1970-01-01T08:00:00.096+08:00| 96.0| |
| +-----------------------------+-------------+ |
| Total line number = 10 |
| It costs 0.024s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br></div></div><h4 id="等数量分桶聚合采样"><a href="#等数量分桶聚合采样" class="header-anchor">#</a> 等数量分桶聚合采样</h4> <p>采用聚合采样法对输入序列进行采样，用户需要另外提供一个聚合函数参数即</p> <ul><li><code>type</code>：聚合类型，取值为<code>avg</code>或<code>max</code>或<code>min</code>或<code>sum</code>或<code>extreme</code>或<code>variance</code>。在缺省情况下，采用<code>avg</code>。其中<code>extreme</code>表示等分桶中，绝对值最大的值。<code>variance</code>表示采样等分桶中的方差。</li></ul> <p>每个桶采样输出的时间戳为这个桶第一个点的时间戳</p> <table><thead><tr><th>函数名</th> <th>可接收的输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>EQUAL_SIZE_BUCKET_AGG_SAMPLE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td><code>proportion</code>取值范围为<code>(0, 1]</code>，默认为<code>0.1</code><br><code>type</code>:取值类型有<code>avg</code>, <code>max</code>, <code>min</code>, <code>sum</code>, <code>extreme</code>, <code>variance</code>, 默认为<code>avg</code></td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>返回符合采样比例的等分桶聚合采样</td></tr></tbody></table> <h5 id="演示-4"><a href="#演示-4" class="header-anchor">#</a> 演示</h5> <p>测试数据:<code>root.ln.wf01.wt01.temperature</code>从<code>0.0-99.0</code>共<code>100</code>条有序数据，同等分桶随机采样的测试数据。</p> <p>sql:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> equal_size_bucket_agg_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'avg'</span><span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> agg_avg<span class="token punctuation">,</span> equal_size_bucket_agg_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'max'</span><span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> agg_max<span class="token punctuation">,</span> equal_size_bucket_agg_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span><span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'min'</span><span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> agg_min<span class="token punctuation">,</span> equal_size_bucket_agg_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'sum'</span><span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> agg_sum<span class="token punctuation">,</span> equal_size_bucket_agg_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'extreme'</span><span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> agg_extreme<span class="token punctuation">,</span> equal_size_bucket_agg_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'variance'</span><span class="token punctuation">,</span><span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> agg_variance <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-----------------+-------+-------+-------+-----------+------------+ |
| | Time| agg_avg|agg_max|agg_min|agg_sum|agg_extreme|agg_variance| |
| +-----------------------------+-----------------+-------+-------+-------+-----------+------------+ |
| |1970-01-01T08:00:00.000+08:00| 4.5| 9.0| 0.0| 45.0| 9.0| 8.25| |
| |1970-01-01T08:00:00.010+08:00| 14.5| 19.0| 10.0| 145.0| 19.0| 8.25| |
| |1970-01-01T08:00:00.020+08:00| 24.5| 29.0| 20.0| 245.0| 29.0| 8.25| |
| |1970-01-01T08:00:00.030+08:00| 34.5| 39.0| 30.0| 345.0| 39.0| 8.25| |
| |1970-01-01T08:00:00.040+08:00| 44.5| 49.0| 40.0| 445.0| 49.0| 8.25| |
| |1970-01-01T08:00:00.050+08:00| 54.5| 59.0| 50.0| 545.0| 59.0| 8.25| |
| |1970-01-01T08:00:00.060+08:00| 64.5| 69.0| 60.0| 645.0| 69.0| 8.25| |
| |1970-01-01T08:00:00.070+08:00|74.50000000000001| 79.0| 70.0| 745.0| 79.0| 8.25| |
| |1970-01-01T08:00:00.080+08:00| 84.5| 89.0| 80.0| 845.0| 89.0| 8.25| |
| |1970-01-01T08:00:00.090+08:00| 94.5| 99.0| 90.0| 945.0| 99.0| 8.25| |
| +-----------------------------+-----------------+-------+-------+-------+-----------+------------+ |
| Total line number = 10 |
| It costs 0.044s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br></div></div><h4 id="等数量分桶m4采样"><a href="#等数量分桶m4采样" class="header-anchor">#</a> 等数量分桶M4采样</h4> <p>采用M4采样法对输入序列进行采样。即对于每个桶采样首、尾、最小和最大值。</p> <table><thead><tr><th>函数名</th> <th>可接收的输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>EQUAL_SIZE_BUCKET_M4_SAMPLE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td><code>proportion</code>取值范围为<code>(0, 1]</code>，默认为<code>0.1</code></td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>返回符合采样比例的等分桶M4采样</td></tr></tbody></table> <h5 id="演示-5"><a href="#演示-5" class="header-anchor">#</a> 演示</h5> <p>测试数据:<code>root.ln.wf01.wt01.temperature</code>从<code>0.0-99.0</code>共<code>100</code>条有序数据，同等分桶随机采样的测试数据。</p> <p>sql:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> equal_size_bucket_m4_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> M4_sample <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------+ |
| | Time|M4_sample| |
| +-----------------------------+---------+ |
| |1970-01-01T08:00:00.000+08:00| 0.0| |
| |1970-01-01T08:00:00.001+08:00| 1.0| |
| |1970-01-01T08:00:00.038+08:00| 38.0| |
| |1970-01-01T08:00:00.039+08:00| 39.0| |
| |1970-01-01T08:00:00.040+08:00| 40.0| |
| |1970-01-01T08:00:00.041+08:00| 41.0| |
| |1970-01-01T08:00:00.078+08:00| 78.0| |
| |1970-01-01T08:00:00.079+08:00| 79.0| |
| |1970-01-01T08:00:00.080+08:00| 80.0| |
| |1970-01-01T08:00:00.081+08:00| 81.0| |
| |1970-01-01T08:00:00.098+08:00| 98.0| |
| |1970-01-01T08:00:00.099+08:00| 99.0| |
| +-----------------------------+---------+ |
| Total line number = 12 |
| It costs 0.065s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br></div></div><h4 id="等数量分桶离群值采样"><a href="#等数量分桶离群值采样" class="header-anchor">#</a> 等数量分桶离群值采样</h4> <p>本函数对输入序列进行等数量分桶离群值采样，即根据用户给定的降采样比例和桶内采样个数将输入序列按固定点数等分为若干桶，在每个桶内通过给定的离群值采样方法进行采样。</p> <table><thead><tr><th>函数名</th> <th>可接收的输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>EQUAL_SIZE_BUCKET_OUTLIER_SAMPLE</td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td><code>proportion</code>取值范围为<code>(0, 1]</code>，默认为<code>0.1</code><br><code>type</code>取值为<code>avg</code>或<code>stendis</code>或<code>cos</code>或<code>prenextdis</code>，默认为<code>avg</code><br><code>number</code>取值应大于0，默认<code>3</code></td> <td>INT32 / INT64 / FLOAT / DOUBLE</td> <td>返回符合采样比例和桶内采样个数的等分桶离群值采样</td></tr></tbody></table> <p>参数说明</p> <ul><li><code>proportion</code>: 采样比例 |
| <ul><li><code>number</code>: 每个桶内的采样个数，默认<code>3</code></li></ul></li> <li><code>type</code>: 离群值采样方法，取值为 |
| <ul><li><code>avg</code>: 取桶内数据点的平均值，并根据采样比例，找到距离均值最远的<code>top number</code>个</li> <li><code>stendis</code>: 取桶内每一个数据点距离桶的首末数据点连成直线的垂直距离，并根据采样比例，找到距离最大的<code>top number</code>个</li> <li><code>cos</code>: 设桶内一个数据点为b，b左边的数据点为a，b右边的数据点为c，则取ab与bc向量的夹角的余弦值，值越小，说明形成的角度越大，越可能是异常值。找到cos值最小的<code>top number</code>个</li> <li><code>prenextdis</code>: 设桶内一个数据点为b，b左边的数据点为a，b右边的数据点为c，则取ab与bc的长度之和作为衡量标准，和越大越可能是异常值，找到最大的<code>top number</code>个</li></ul></li></ul> <h5 id="演示-6"><a href="#演示-6" class="header-anchor">#</a> 演示</h5> <p>测试数据:<code>root.ln.wf01.wt01.temperature</code>从<code>0.0-99.0</code>共<code>100</code>条数据，其中为了加入离群值，我们使得个位数为5的值自增100。</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select temperature from root.ln.wf01.wt01; |
| +-----------------------------+-----------------------------+ |
| | Time|root.ln.wf01.wt01.temperature| |
| +-----------------------------+-----------------------------+ |
| |1970-01-01T08:00:00.000+08:00| 0.0| |
| |1970-01-01T08:00:00.001+08:00| 1.0| |
| |1970-01-01T08:00:00.002+08:00| 2.0| |
| |1970-01-01T08:00:00.003+08:00| 3.0| |
| |1970-01-01T08:00:00.004+08:00| 4.0| |
| |1970-01-01T08:00:00.005+08:00| 105.0| |
| |1970-01-01T08:00:00.006+08:00| 6.0| |
| |1970-01-01T08:00:00.007+08:00| 7.0| |
| |1970-01-01T08:00:00.008+08:00| 8.0| |
| |1970-01-01T08:00:00.009+08:00| 9.0| |
| |1970-01-01T08:00:00.010+08:00| 10.0| |
| |1970-01-01T08:00:00.011+08:00| 11.0| |
| |1970-01-01T08:00:00.012+08:00| 12.0| |
| |1970-01-01T08:00:00.013+08:00| 13.0| |
| |1970-01-01T08:00:00.014+08:00| 14.0| |
| |1970-01-01T08:00:00.015+08:00| 115.0| |
| |1970-01-01T08:00:00.016+08:00| 16.0| |
| |.............................|.............................| |
| |1970-01-01T08:00:00.092+08:00| 92.0| |
| |1970-01-01T08:00:00.093+08:00| 93.0| |
| |1970-01-01T08:00:00.094+08:00| 94.0| |
| |1970-01-01T08:00:00.095+08:00| 195.0| |
| |1970-01-01T08:00:00.096+08:00| 96.0| |
| |1970-01-01T08:00:00.097+08:00| 97.0| |
| |1970-01-01T08:00:00.098+08:00| 98.0| |
| |1970-01-01T08:00:00.099+08:00| 99.0| |
| +-----------------------------+-----------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br><span class="line-number">27</span><br><span class="line-number">28</span><br><span class="line-number">29</span><br><span class="line-number">30</span><br><span class="line-number">31</span><br></div></div><p>sql:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> equal_size_bucket_outlier_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'avg'</span><span class="token punctuation">,</span> <span class="token string">'number'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> outlier_avg_sample<span class="token punctuation">,</span> equal_size_bucket_outlier_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'stendis'</span><span class="token punctuation">,</span> <span class="token string">'number'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> outlier_stendis_sample<span class="token punctuation">,</span> equal_size_bucket_outlier_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'cos'</span><span class="token punctuation">,</span> <span class="token string">'number'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> outlier_cos_sample<span class="token punctuation">,</span> equal_size_bucket_outlier_sample<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'proportion'</span><span class="token operator">=</span><span class="token string">'0.1'</span><span class="token punctuation">,</span> <span class="token string">'type'</span><span class="token operator">=</span><span class="token string">'prenextdis'</span><span class="token punctuation">,</span> <span class="token string">'number'</span><span class="token operator">=</span><span class="token string">'2'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> outlier_prenextdis_sample <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+------------------+----------------------+------------------+-------------------------+ |
| | Time|outlier_avg_sample|outlier_stendis_sample|outlier_cos_sample|outlier_prenextdis_sample| |
| +-----------------------------+------------------+----------------------+------------------+-------------------------+ |
| |1970-01-01T08:00:00.005+08:00| 105.0| 105.0| 105.0| 105.0| |
| |1970-01-01T08:00:00.015+08:00| 115.0| 115.0| 115.0| 115.0| |
| |1970-01-01T08:00:00.025+08:00| 125.0| 125.0| 125.0| 125.0| |
| |1970-01-01T08:00:00.035+08:00| 135.0| 135.0| 135.0| 135.0| |
| |1970-01-01T08:00:00.045+08:00| 145.0| 145.0| 145.0| 145.0| |
| |1970-01-01T08:00:00.055+08:00| 155.0| 155.0| 155.0| 155.0| |
| |1970-01-01T08:00:00.065+08:00| 165.0| 165.0| 165.0| 165.0| |
| |1970-01-01T08:00:00.075+08:00| 175.0| 175.0| 175.0| 175.0| |
| |1970-01-01T08:00:00.085+08:00| 185.0| 185.0| 185.0| 185.0| |
| |1970-01-01T08:00:00.095+08:00| 195.0| 195.0| 195.0| 195.0| |
| +-----------------------------+------------------+----------------------+------------------+-------------------------+ |
| Total line number = 10 |
| It costs 0.041s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br></div></div><h3 id="jexl自定义函数"><a href="#jexl自定义函数" class="header-anchor">#</a> JEXL自定义函数</h3> <p>Java Expression Language (JEXL) 是一个表达式语言引擎。我们使用JEXL来扩展UDF，在命令行中，通过简易的lambda表达式来实现UDF。lambda表达式中支持的运算符详见链接 <a href="https://commons.apache.org/proper/commons-jexl/apidocs/org/apache/commons/jexl3/package-summary.html#customization" target="_blank" rel="noopener noreferrer">JEXL中lambda表达式支持的运算符<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a> 。</p> <table><thead><tr><th>函数名</th> <th>可接收的输入序列类型</th> <th>必要的属性参数</th> <th>输出序列类型</th> <th>功能类型</th></tr></thead> <tbody><tr><td>JEXL</td> <td>INT32 / INT64 / FLOAT / DOUBLE / TEXT / BOOLEAN</td> <td><code>expr</code>是一个支持标准的一元或多元参数的lambda表达式，符合<code>x -> {...}</code>或<code>(x, y, z) -> {...}</code>的格式，例如<code>x -> {x * 2}</code>, <code>(x, y, z) -> {x + y * z}</code></td> <td>INT32 / INT64 / FLOAT / DOUBLE / TEXT / BOOLEAN</td> <td>返回将输入的时间序列通过lambda表达式变换的序列</td></tr></tbody></table> <h4 id="演示-7"><a href="#演示-7" class="header-anchor">#</a> 演示</h4> <p>测试数据:<code>root.ln.wf01.wt01.temperature</code>, <code>root.ln.wf01.wt01.st</code>, <code>root.ln.wf01.wt01.str</code>共<code>11</code>条数据。</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>IoTDB> select * from root.ln.wf01.wt01; |
| +-----------------------------+---------------------+--------------------+-----------------------------+ |
| | Time|root.ln.wf01.wt01.str|root.ln.wf01.wt01.st|root.ln.wf01.wt01.temperature| |
| +-----------------------------+---------------------+--------------------+-----------------------------+ |
| |1970-01-01T08:00:00.000+08:00| str| 10.0| 0.0| |
| |1970-01-01T08:00:00.001+08:00| str| 20.0| 1.0| |
| |1970-01-01T08:00:00.002+08:00| str| 30.0| 2.0| |
| |1970-01-01T08:00:00.003+08:00| str| 40.0| 3.0| |
| |1970-01-01T08:00:00.004+08:00| str| 50.0| 4.0| |
| |1970-01-01T08:00:00.005+08:00| str| 60.0| 5.0| |
| |1970-01-01T08:00:00.006+08:00| str| 70.0| 6.0| |
| |1970-01-01T08:00:00.007+08:00| str| 80.0| 7.0| |
| |1970-01-01T08:00:00.008+08:00| str| 90.0| 8.0| |
| |1970-01-01T08:00:00.009+08:00| str| 100.0| 9.0| |
| |1970-01-01T08:00:00.010+08:00| str| 110.0| 10.0| |
| +-----------------------------+---------------------+--------------------+-----------------------------+ |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br></div></div><p>sql:</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> jexl<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'expr'</span><span class="token operator">=</span><span class="token string">'x -> {x + x}'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> jexl1<span class="token punctuation">,</span> jexl<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'expr'</span><span class="token operator">=</span><span class="token string">'x -> {x * 3}'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> jexl2<span class="token punctuation">,</span> jexl<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'expr'</span><span class="token operator">=</span><span class="token string">'x -> {x * x}'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> jexl3<span class="token punctuation">,</span> jexl<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> <span class="token string">'expr'</span><span class="token operator">=</span><span class="token string">'x -> {multiply(x, 100)}'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> jexl4<span class="token punctuation">,</span> jexl<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> st<span class="token punctuation">,</span> <span class="token string">'expr'</span><span class="token operator">=</span><span class="token string">'(x, y) -> {x + y}'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> jexl5<span class="token punctuation">,</span> jexl<span class="token punctuation">(</span>temperature<span class="token punctuation">,</span> st<span class="token punctuation">,</span> str<span class="token punctuation">,</span> <span class="token string">'expr'</span><span class="token operator">=</span><span class="token string">'(x, y, z) -> {x + y + z}'</span><span class="token punctuation">)</span> <span class="token keyword">as</span> jexl6 <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span><span class="token identifier"><span class="token punctuation">`</span><span class="token punctuation">`</span></span><span class="token punctuation">`</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-----+-----+-----+------+-----+--------+ |
| | Time|jexl1|jexl2|jexl3| jexl4|jexl5| jexl6| |
| +-----------------------------+-----+-----+-----+------+-----+--------+ |
| |1970-01-01T08:00:00.000+08:00| 0.0| 0.0| 0.0| 0.0| 10.0| 10.0str| |
| |1970-01-01T08:00:00.001+08:00| 2.0| 3.0| 1.0| 100.0| 21.0| 21.0str| |
| |1970-01-01T08:00:00.002+08:00| 4.0| 6.0| 4.0| 200.0| 32.0| 32.0str| |
| |1970-01-01T08:00:00.003+08:00| 6.0| 9.0| 9.0| 300.0| 43.0| 43.0str| |
| |1970-01-01T08:00:00.004+08:00| 8.0| 12.0| 16.0| 400.0| 54.0| 54.0str| |
| |1970-01-01T08:00:00.005+08:00| 10.0| 15.0| 25.0| 500.0| 65.0| 65.0str| |
| |1970-01-01T08:00:00.006+08:00| 12.0| 18.0| 36.0| 600.0| 76.0| 76.0str| |
| |1970-01-01T08:00:00.007+08:00| 14.0| 21.0| 49.0| 700.0| 87.0| 87.0str| |
| |1970-01-01T08:00:00.008+08:00| 16.0| 24.0| 64.0| 800.0| 98.0| 98.0str| |
| |1970-01-01T08:00:00.009+08:00| 18.0| 27.0| 81.0| 900.0|109.0|109.0str| |
| |1970-01-01T08:00:00.010+08:00| 20.0| 30.0|100.0|1000.0|120.0|120.0str| |
| +-----------------------------+-----+-----+-----+------+-----+--------+ |
| Total line number = 11 |
| It costs 0.118s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br></div></div><h3 id="自定义时间序列生成函数"><a href="#自定义时间序列生成函数" class="header-anchor">#</a> 自定义时间序列生成函数</h3> <p>请参考 <a href="/zh/UserGuide/Master/Process-Data/UDF-User-Defined-Function.html">UDF</a>。</p> <p>已知的自定义时间序列生成函数库实现：</p> <ul><li><a href="https://thulab.github.io/iotdb-quality" target="_blank" rel="noopener noreferrer">IoTDB-Quality<span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a>，一个关于数据质量的 UDF 库实现，包括数据画像、数据质量评估与修复等一系列函数。</li></ul> <h2 id="嵌套表达式"><a href="#嵌套表达式" class="header-anchor">#</a> 嵌套表达式</h2> <p>IoTDB支持嵌套表达式，由于聚合查询和时间序列查询不能在一条查询语句中同时出现，我们将支持的嵌套表达式分为时间序列查询嵌套表达式和聚合查询嵌套表达式两类。</p> <p>下面是嵌套表达式统一的 <code>SELECT</code> 子句语法定义：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code>selectClause |
| : <span class="token keyword">SELECT</span> resultColumn <span class="token punctuation">(</span><span class="token string">','</span> resultColumn<span class="token punctuation">)</span><span class="token operator">*</span> |
| <span class="token punctuation">;</span> |
| |
| resultColumn |
| : expression <span class="token punctuation">(</span><span class="token keyword">AS</span> ID<span class="token punctuation">)</span>? |
| <span class="token punctuation">;</span> |
| |
| expression |
| : <span class="token string">'('</span> expression <span class="token string">')'</span> |
| <span class="token operator">|</span> <span class="token string">'-'</span> expression |
| <span class="token operator">|</span> expression <span class="token punctuation">(</span><span class="token string">'*'</span> <span class="token operator">|</span> <span class="token string">'/'</span> <span class="token operator">|</span> <span class="token string">'%'</span><span class="token punctuation">)</span> expression |
| <span class="token operator">|</span> expression <span class="token punctuation">(</span><span class="token string">'+'</span> <span class="token operator">|</span> <span class="token string">'-'</span><span class="token punctuation">)</span> expression |
| <span class="token operator">|</span> functionName <span class="token string">'('</span> expression <span class="token punctuation">(</span><span class="token string">','</span> expression<span class="token punctuation">)</span><span class="token operator">*</span> functionAttribute<span class="token operator">*</span> <span class="token string">')'</span> |
| <span class="token operator">|</span> timeSeriesSuffixPath |
| <span class="token operator">|</span> number |
| <span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br></div></div><h3 id="时间序列查询嵌套表达式"><a href="#时间序列查询嵌套表达式" class="header-anchor">#</a> 时间序列查询嵌套表达式</h3> <p>IoTDB 支持在 <code>SELECT</code> 子句中计算由<strong>数字常量，时间序列、时间序列生成函数（包括用户自定义函数）和算数运算表达式</strong>组成的任意嵌套表达式。</p> <h4 id="示例"><a href="#示例" class="header-anchor">#</a> 示例</h4> <p>输入1：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> a<span class="token punctuation">,</span> |
| b<span class="token punctuation">,</span> |
| <span class="token punctuation">(</span><span class="token punctuation">(</span>a <span class="token operator">+</span> <span class="token number">1</span><span class="token punctuation">)</span> <span class="token operator">*</span> <span class="token number">2</span> <span class="token operator">-</span> <span class="token number">1</span><span class="token punctuation">)</span> <span class="token operator">%</span> <span class="token number">2</span> <span class="token operator">+</span> <span class="token number">1.5</span><span class="token punctuation">,</span> |
| sin<span class="token punctuation">(</span>a <span class="token operator">+</span> sin<span class="token punctuation">(</span>a <span class="token operator">+</span> sin<span class="token punctuation">(</span>b<span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span> |
| <span class="token operator">-</span><span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span> <span class="token operator">*</span> <span class="token punctuation">(</span>sin<span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span> <span class="token operator">*</span> sin<span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span> <span class="token operator">+</span> cos<span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span> <span class="token operator">*</span> cos<span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span><span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token number">1</span> |
| <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br></div></div><p>结果集1：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+----------+----------+----------------------------------------+---------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------+ |
| | Time|root.sg1.a|root.sg1.b|((((root.sg1.a + 1) * 2) - 1) % 2) + 1.5|sin(root.sg1.a + sin(root.sg1.a + sin(root.sg1.b)))|(-root.sg1.a + root.sg1.b * ((sin(root.sg1.a + root.sg1.b) * sin(root.sg1.a + root.sg1.b)) + (cos(root.sg1.a + root.sg1.b) * cos(root.sg1.a + root.sg1.b)))) + 1| |
| +-----------------------------+----------+----------+----------------------------------------+---------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------+ |
| |1970-01-01T08:00:00.010+08:00| 1| 1| 2.5| 0.9238430524420609| -1.0| |
| |1970-01-01T08:00:00.020+08:00| 2| 2| 2.5| 0.7903505371876317| -3.0| |
| |1970-01-01T08:00:00.030+08:00| 3| 3| 2.5| 0.14065207680386618| -5.0| |
| |1970-01-01T08:00:00.040+08:00| 4| null| 2.5| null| null| |
| |1970-01-01T08:00:00.050+08:00| null| 5| null| null| null| |
| |1970-01-01T08:00:00.060+08:00| 6| 6| 2.5| -0.7288037411970916| -11.0| |
| +-----------------------------+----------+----------+----------------------------------------+---------------------------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------+ |
| Total line number = 6 |
| It costs 0.048s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br></div></div><p>输入2：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span> <span class="token operator">*</span> <span class="token number">2</span> <span class="token operator">+</span> sin<span class="token punctuation">(</span>a<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果集2：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+----------------------------------------------+ |
| | Time|((root.sg.a + root.sg.b) * 2) + sin(root.sg.a)| |
| +-----------------------------+----------------------------------------------+ |
| |1970-01-01T08:00:00.010+08:00| 59.45597888911063| |
| |1970-01-01T08:00:00.020+08:00| 100.91294525072763| |
| |1970-01-01T08:00:00.030+08:00| 139.01196837590714| |
| |1970-01-01T08:00:00.040+08:00| 180.74511316047935| |
| |1970-01-01T08:00:00.050+08:00| 219.73762514629607| |
| |1970-01-01T08:00:00.060+08:00| 259.6951893788978| |
| |1970-01-01T08:00:00.070+08:00| 300.7738906815579| |
| |1970-01-01T08:00:00.090+08:00| 39.45597888911063| |
| |1970-01-01T08:00:00.100+08:00| 39.45597888911063| |
| +-----------------------------+----------------------------------------------+ |
| Total line number = 9 |
| It costs 0.011s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br></div></div><p>输入3：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token punctuation">(</span>a <span class="token operator">+</span> <span class="token operator">*</span><span class="token punctuation">)</span> <span class="token operator">/</span> <span class="token number">2</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1 |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果集3：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-----------------------------+-----------------------------+ |
| | Time|(root.sg1.a + root.sg1.a) / 2|(root.sg1.a + root.sg1.b) / 2| |
| +-----------------------------+-----------------------------+-----------------------------+ |
| |1970-01-01T08:00:00.010+08:00| 1.0| 1.0| |
| |1970-01-01T08:00:00.020+08:00| 2.0| 2.0| |
| |1970-01-01T08:00:00.030+08:00| 3.0| 3.0| |
| |1970-01-01T08:00:00.040+08:00| 4.0| null| |
| |1970-01-01T08:00:00.060+08:00| 6.0| 6.0| |
| +-----------------------------+-----------------------------+-----------------------------+ |
| Total line number = 5 |
| It costs 0.011s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><p>输入4：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token punctuation">(</span>a <span class="token operator">+</span> b<span class="token punctuation">)</span> <span class="token operator">*</span> <span class="token number">3</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg<span class="token punctuation">,</span> root<span class="token punctuation">.</span>ln |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>结果集4：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------------------+---------------------------+---------------------------+---------------------------+ |
| | Time|(root.sg.a + root.sg.b) * 3|(root.sg.a + root.ln.b) * 3|(root.ln.a + root.sg.b) * 3|(root.ln.a + root.ln.b) * 3| |
| +-----------------------------+---------------------------+---------------------------+---------------------------+---------------------------+ |
| |1970-01-01T08:00:00.010+08:00| 90.0| 270.0| 360.0| 540.0| |
| |1970-01-01T08:00:00.020+08:00| 150.0| 330.0| 690.0| 870.0| |
| |1970-01-01T08:00:00.030+08:00| 210.0| 450.0| 570.0| 810.0| |
| |1970-01-01T08:00:00.040+08:00| 270.0| 240.0| 690.0| 660.0| |
| |1970-01-01T08:00:00.050+08:00| 330.0| null| null| null| |
| |1970-01-01T08:00:00.060+08:00| 390.0| null| null| null| |
| |1970-01-01T08:00:00.070+08:00| 450.0| null| null| null| |
| |1970-01-01T08:00:00.090+08:00| 60.0| null| null| null| |
| |1970-01-01T08:00:00.100+08:00| 60.0| null| null| null| |
| +-----------------------------+---------------------------+---------------------------+---------------------------+---------------------------+ |
| Total line number = 9 |
| It costs 0.014s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br></div></div><h4 id="说明"><a href="#说明" class="header-anchor">#</a> 说明</h4> <ul><li>当某个时间戳下左操作数和右操作数都不为空（<code>null</code>）时，表达式才会有结果，否则表达式值为<code>null</code>，且默认不出现在结果集中。 |
| <ul><li>从结果集1中可知，时间戳40下，时间序列<code>root.sg.a</code>的值为4，<code>root.sg.b</code>的值为<code>null</code>。所以在时间戳40下，表达式<code>(a + b) * 2 + sin(a)</code>的值为<code>null</code>，从结果集2可以看出，时间戳40没有出现。</li></ul></li> <li>如果表达式中某个操作数对应多条时间序列（如通配符<code>*</code>），那么每条时间序列对应的结果都会出现在结果集中（按照笛卡尔积形式）。请参考示例中输入3、4和对应结果集3、4。</li></ul> <h4 id="注意"><a href="#注意" class="header-anchor">#</a> 注意</h4> <blockquote><p>目前对齐时间序列(Aligned Timeseries)尚不支持时间序列查询嵌套表达式。使用时间序列查询嵌套表达式时，如果操作数包含对齐时间序列，会提示错误。</p></blockquote> <h3 id="聚合查询嵌套表达式"><a href="#聚合查询嵌套表达式" class="header-anchor">#</a> 聚合查询嵌套表达式</h3> <p>IoTDB 支持在 <code>SELECT</code> 子句中计算由<strong>数字常量，聚合查询和算数运算表达式</strong>组成的任意嵌套表达式。</p> <h4 id="示例-2"><a href="#示例-2" class="header-anchor">#</a> 示例</h4> <p>不指定 <code>GROUP BY</code> 的聚合查询。</p> <p>输入1：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span><span class="token punctuation">,</span> |
| sin<span class="token punctuation">(</span><span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span> |
| <span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token number">1</span><span class="token punctuation">,</span> |
| <span class="token operator">-</span><span class="token function">sum</span><span class="token punctuation">(</span>hardware<span class="token punctuation">)</span><span class="token punctuation">,</span> |
| <span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token function">sum</span><span class="token punctuation">(</span>hardware<span class="token punctuation">)</span> |
| <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br></div></div><p>结果集1：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+----------------------------------+---------------------------------------+--------------------------------------+--------------------------------+--------------------------------------------------------------------+ |
| |avg(root.ln.wf01.wt01.temperature)|sin(avg(root.ln.wf01.wt01.temperature))|avg(root.ln.wf01.wt01.temperature) + 1|-sum(root.ln.wf01.wt01.hardware)|avg(root.ln.wf01.wt01.temperature) + sum(root.ln.wf01.wt01.hardware)| |
| +----------------------------------+---------------------------------------+--------------------------------------+--------------------------------+--------------------------------------------------------------------+ |
| | 15.927999999999999| -0.21826546964855045| 16.927999999999997| -7426.0| 7441.928| |
| +----------------------------------+---------------------------------------+--------------------------------------+--------------------------------+--------------------------------------------------------------------+ |
| Total line number = 1 |
| It costs 0.009s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br></div></div><p>输入2：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">avg</span><span class="token punctuation">(</span><span class="token operator">*</span><span class="token punctuation">)</span><span class="token punctuation">,</span> |
| <span class="token punctuation">(</span><span class="token function">avg</span><span class="token punctuation">(</span><span class="token operator">*</span><span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token number">1</span><span class="token punctuation">)</span> <span class="token operator">*</span> <span class="token number">3</span> <span class="token operator">/</span> <span class="token number">2</span> <span class="token operator">-</span><span class="token number">1</span> |
| <span class="token keyword">from</span> root<span class="token punctuation">.</span>sg1 |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br></div></div><p>结果集2：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+---------------+---------------+-------------------------------------+-------------------------------------+ |
| |avg(root.sg1.a)|avg(root.sg1.b)|(((avg(root.sg1.a) + 1) * 3) / 2) - 1|(((avg(root.sg1.b) + 1) * 3) / 2) - 1| |
| +---------------+---------------+-------------------------------------+-------------------------------------+ |
| | 3.2| 3.4| 5.300000000000001| 5.6000000000000005| |
| +---------------+---------------+-------------------------------------+-------------------------------------+ |
| Total line number = 1 |
| It costs 0.007s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br></div></div><p>指定 <code>GROUP BY</code> 的聚合查询。</p> <p>输入3：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> <span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span><span class="token punctuation">,</span> |
| sin<span class="token punctuation">(</span><span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span> |
| <span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token number">1</span><span class="token punctuation">,</span> |
| <span class="token operator">-</span><span class="token function">sum</span><span class="token punctuation">(</span>hardware<span class="token punctuation">)</span><span class="token punctuation">,</span> |
| <span class="token function">avg</span><span class="token punctuation">(</span>temperature<span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token function">sum</span><span class="token punctuation">(</span>hardware<span class="token punctuation">)</span> <span class="token keyword">as</span> custom_sum |
| <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01 |
| <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">10</span><span class="token punctuation">,</span> <span class="token number">90</span><span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token number">10</span>ms<span class="token punctuation">)</span><span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br></div></div><p>结果集3：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+----------------------------------+---------------------------------------+--------------------------------------+--------------------------------+----------+ |
| | Time|avg(root.ln.wf01.wt01.temperature)|sin(avg(root.ln.wf01.wt01.temperature))|avg(root.ln.wf01.wt01.temperature) + 1|-sum(root.ln.wf01.wt01.hardware)|custom_sum| |
| +-----------------------------+----------------------------------+---------------------------------------+--------------------------------------+--------------------------------+----------+ |
| |1970-01-01T08:00:00.010+08:00| 13.987499999999999| 0.9888207947857667| 14.987499999999999| -3211.0| 3224.9875| |
| |1970-01-01T08:00:00.020+08:00| 29.6| -0.9701057337071853| 30.6| -3720.0| 3749.6| |
| |1970-01-01T08:00:00.030+08:00| null| null| null| null| null| |
| |1970-01-01T08:00:00.040+08:00| null| null| null| null| null| |
| |1970-01-01T08:00:00.050+08:00| null| null| null| null| null| |
| |1970-01-01T08:00:00.060+08:00| null| null| null| null| null| |
| |1970-01-01T08:00:00.070+08:00| null| null| null| null| null| |
| |1970-01-01T08:00:00.080+08:00| null| null| null| null| null| |
| +-----------------------------+----------------------------------+---------------------------------------+--------------------------------------+--------------------------------+----------+ |
| Total line number = 8 |
| It costs 0.012s |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br></div></div><h4 id="说明-2"><a href="#说明-2" class="header-anchor">#</a> 说明</h4> <ul><li>当某个时间戳下左操作数和右操作数都不为空（<code>null</code>）时，表达式才会有结果，否则表达式值为<code>null</code>，且默认不出现在结果集中。但在使用<code>GROUP BY</code>子句的聚合查询嵌套表达式中，我们希望保留每个时间窗口的值，所以表达式值为<code>null</code>的窗口也包含在结果集中。请参考输入3及结果集3。</li> <li>如果表达式中某个操作数对应多条时间序列（如通配符<code>*</code>），那么每条时间序列对应的结果都会出现在结果集中（按照笛卡尔积形式）。请参考输入2及结果集2。</li></ul> <h4 id="注意-2"><a href="#注意-2" class="header-anchor">#</a> 注意</h4> <blockquote><p>目前此功能尚不支持填充算子（<code>FILL</code>）和按层级聚合（<code>GROUP BY LEVEL</code>）查询, 在后续版本会支持。</p> <p>聚合计算目前只能当做最底层表达式输入，暂不支持聚合函数内部出现表达式。</p> <p>即不支持以下查询</p> <div class="language-SQL line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">SELECT</span> <span class="token function">avg</span><span class="token punctuation">(</span>s1 <span class="token operator">+</span> <span class="token number">1</span><span class="token punctuation">)</span> <span class="token keyword">FROM</span> root<span class="token punctuation">.</span>sg<span class="token punctuation">.</span>d1<span class="token punctuation">;</span> <span class="token comment">-- 聚合函数内部有表达式</span> |
| <span class="token keyword">SELECT</span> <span class="token function">avg</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token function">avg</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token keyword">FROM</span> root<span class="token punctuation">.</span>sg<span class="token punctuation">.</span><span class="token operator">*</span> <span class="token keyword">GROUP</span> <span class="token keyword">BY</span> <span class="token keyword">LEVEL</span><span class="token operator">=</span><span class="token number">1</span><span class="token punctuation">;</span> <span class="token comment">-- 按层级聚合</span> |
| <span class="token keyword">SELECT</span> <span class="token function">avg</span><span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token operator">+</span> <span class="token function">avg</span><span class="token punctuation">(</span>s2<span class="token punctuation">)</span> <span class="token keyword">FROM</span> root<span class="token punctuation">.</span>sg<span class="token punctuation">.</span>d1 <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">0</span><span class="token punctuation">,</span> <span class="token number">10000</span><span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token number">1</span>s<span class="token punctuation">)</span> FILL<span class="token punctuation">(</span>previous<span class="token punctuation">)</span><span class="token punctuation">;</span> <span class="token comment">-- 空值填充 </span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br></div></div></blockquote> <h2 id="使用别名"><a href="#使用别名" class="header-anchor">#</a> 使用别名</h2> <p>由于 IoTDB 独特的数据模型，在每个传感器前都附带有设备等诸多额外信息。有时，我们只针对某个具体设备查询，而这些前缀信息频繁显示造成了冗余，影响了结果集的显示与分析。这时我们可以使用 IoTDB 提供的 AS 函数，将查询中出现的时间序列给定一个别名。</p> <p>例如：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> s1 <span class="token keyword">as</span> temperature<span class="token punctuation">,</span> s2 <span class="token keyword">as</span> speed <span class="token keyword">from</span> root<span class="token punctuation">.</span>ln<span class="token punctuation">.</span>wf01<span class="token punctuation">.</span>wt01<span class="token punctuation">;</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>则结果集将显示为：</p> <table><thead><tr><th>Time</th> <th>temperature</th> <th>speed</th></tr></thead> <tbody><tr><td>...</td> <td>...</td> <td>...</td></tr></tbody></table></div> <div class="page-nav"><p class="inner"><span class="prev"> |
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