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class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Repairing.html#valuerepair" class="sidebar-link">ValueRepair</a></li></ul></li><li><a href="/zh/UserGuide/V0.13.x/UDF-Library/Series-Discovery.html" class="sidebar-link">序列发现</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Series-Discovery.html#consecutivesequences" class="sidebar-link">ConsecutiveSequences</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Series-Discovery.html#consecutivewindows" class="sidebar-link">ConsecutiveWindows</a></li></ul></li><li><a href="/zh/UserGuide/V0.13.x/UDF-Library/String-Processing.html" class="sidebar-link">字符串处理</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/String-Processing.html#regexmatch" class="sidebar-link">RegexMatch</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/String-Processing.html#regexreplace" class="sidebar-link">RegexReplace</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/String-Processing.html#regexsplit" class="sidebar-link">RegexSplit</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/String-Processing.html#strreplace" class="sidebar-link">StrReplace</a></li></ul></li><li><a href="/zh/UserGuide/V0.13.x/UDF-Library/M4.html" class="sidebar-link">M4</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/M4.html#m4-2" class="sidebar-link">M4</a></li></ul></li></ul></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="异常检测"><a href="#异常检测" class="header-anchor">#</a> 异常检测</h1> <h2 id="iqr"><a href="#iqr" class="header-anchor">#</a> IQR</h2> <h3 id="函数简介"><a href="#函数简介" class="header-anchor">#</a> 函数简介</h3> <p>本函数用于检验超出上下四分位数1.5倍IQR的数据分布异常。</p> <p><strong>函数名：</strong> IQR</p> <p><strong>输入序列：</strong> 仅支持单个输入序列，类型为 INT32 / INT64 / FLOAT / DOUBLE。</p> <p><strong>参数：</strong></p> <ul><li><code>method</code>：若设置为 "batch"，则将数据全部读入后检测；若设置为 "stream"，则需用户提供上下四分位数进行流式检测。默认为 "batch"。</li> <li><code>q1</code>：使用流式计算时的下四分位数。</li> <li><code>q3</code>：使用流式计算时的上四分位数。</li></ul> <p><strong>输出序列</strong>：输出单个序列，类型为 DOUBLE。</p> <p><strong>说明</strong>：$IQR=Q_3-Q_1$</p> <h3 id="使用示例"><a href="#使用示例" class="header-anchor">#</a> 使用示例</h3> <h4 id="全数据计算"><a href="#全数据计算" class="header-anchor">#</a> 全数据计算</h4> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+------------+ |
| | Time|root.test.s1| |
| +-----------------------------+------------+ |
| |1970-01-01T08:00:00.100+08:00| 0.0| |
| |1970-01-01T08:00:00.200+08:00| 0.0| |
| |1970-01-01T08:00:00.300+08:00| 1.0| |
| |1970-01-01T08:00:00.400+08:00| -1.0| |
| |1970-01-01T08:00:00.500+08:00| 0.0| |
| |1970-01-01T08:00:00.600+08:00| 0.0| |
| |1970-01-01T08:00:00.700+08:00| -2.0| |
| |1970-01-01T08:00:00.800+08:00| 2.0| |
| |1970-01-01T08:00:00.900+08:00| 0.0| |
| |1970-01-01T08:00:01.000+08:00| 0.0| |
| |1970-01-01T08:00:01.100+08:00| 1.0| |
| |1970-01-01T08:00:01.200+08:00| -1.0| |
| |1970-01-01T08:00:01.300+08:00| -1.0| |
| |1970-01-01T08:00:01.400+08:00| 1.0| |
| |1970-01-01T08:00:01.500+08:00| 0.0| |
| |1970-01-01T08:00:01.600+08:00| 0.0| |
| |1970-01-01T08:00:01.700+08:00| 10.0| |
| |1970-01-01T08:00:01.800+08:00| 2.0| |
| |1970-01-01T08:00:01.900+08:00| -2.0| |
| |1970-01-01T08:00:02.000+08:00| 0.0| |
| +-----------------------------+------------+ |
| </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></div></div><p>用于查询的 SQL 语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> iqr<span class="token punctuation">(</span>s1<span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-----------------+ |
| | Time|iqr(root.test.s1)| |
| +-----------------------------+-----------------+ |
| |1970-01-01T08:00:01.700+08:00| 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></div></div><h2 id="ksigma"><a href="#ksigma" class="header-anchor">#</a> KSigma</h2> <h3 id="函数简介-2"><a href="#函数简介-2" class="header-anchor">#</a> 函数简介</h3> <p>本函数利用动态 K-Sigma 算法进行异常检测。在一个窗口内，与平均值的差距超过k倍标准差的数据将被视作异常并输出。</p> <p><strong>函数名：</strong> KSIGMA</p> <p><strong>输入序列：</strong> 仅支持单个输入序列，类型为 INT32 / INT64 / FLOAT / DOUBLE</p> <p><strong>参数：</strong></p> <ul><li><code>k</code>：在动态 K-Sigma 算法中，分布异常的标准差倍数阈值，默认值为 3。</li> <li><code>window</code>：动态 K-Sigma 算法的滑动窗口大小，默认值为 10000。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型与输入序列相同。</p> <p><strong>提示：</strong> k 应大于 0，否则将不做输出。</p> <h3 id="使用示例-2"><a href="#使用示例-2" class="header-anchor">#</a> 使用示例</h3> <h4 id="指定k"><a href="#指定k" class="header-anchor">#</a> 指定k</h4> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------+ |
| | Time|root.test.d1.s1| |
| +-----------------------------+---------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.0| |
| |2020-01-01T00:00:03.000+08:00| 50.0| |
| |2020-01-01T00:00:04.000+08:00| 100.0| |
| |2020-01-01T00:00:06.000+08:00| 150.0| |
| |2020-01-01T00:00:08.000+08:00| 200.0| |
| |2020-01-01T00:00:10.000+08:00| 200.0| |
| |2020-01-01T00:00:14.000+08:00| 200.0| |
| |2020-01-01T00:00:15.000+08:00| 200.0| |
| |2020-01-01T00:00:16.000+08:00| 200.0| |
| |2020-01-01T00:00:18.000+08:00| 200.0| |
| |2020-01-01T00:00:20.000+08:00| 150.0| |
| |2020-01-01T00:00:22.000+08:00| 100.0| |
| |2020-01-01T00:00:26.000+08:00| 50.0| |
| |2020-01-01T00:00:28.000+08:00| 0.0| |
| |2020-01-01T00:00:30.000+08:00| NaN| |
| +-----------------------------+---------------+ |
| </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></div></div><p>用于查询的 SQL 语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> ksigma<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">"1.0"</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">.</span>d1 <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">01</span><span class="token operator">-</span><span class="token number">01</span> <span class="token number">00</span>:<span class="token number">00</span>:<span class="token number">30</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------------------------+ |
| |Time |ksigma(root.test.d1.s1,"k"="3.0")| |
| +-----------------------------+---------------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.0| |
| |2020-01-01T00:00:03.000+08:00| 50.0| |
| |2020-01-01T00:00:26.000+08:00| 50.0| |
| |2020-01-01T00:00:28.000+08:00| 0.0| |
| +-----------------------------+---------------------------------+ |
| </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></div></div><h2 id="lof"><a href="#lof" class="header-anchor">#</a> LOF</h2> <h3 id="函数简介-3"><a href="#函数简介-3" class="header-anchor">#</a> 函数简介</h3> <p>本函数使用局部离群点检测方法用于查找序列的密度异常。将根据提供的第k距离数及局部离群点因子(lof)阈值，判断输入数据是否为离群点，即异常，并输出各点的 LOF 值。</p> <p><strong>函数名：</strong> LOF</p> <p><strong>输入序列：</strong> 多个输入序列，类型为 INT32 / INT64 / FLOAT / DOUBLE</p> <p><strong>参数：</strong></p> <ul><li><code>method</code>:使用的检测方法。默认为 default，以高维数据计算。设置为 series，将一维时间序列转换为高维数据计算。</li> <li><code>k</code>:使用第k距离计算局部离群点因子.默认为 3。</li> <li><code>window</code>:每次读取数据的窗口长度。默认为 10000.</li> <li><code>windowsize</code>:使用series方法时，转化高维数据的维数，即单个窗口的大小。默认为 5。</li></ul> <p><strong>输出序列：</strong> 输出单时间序列，类型为DOUBLE。</p> <p><strong>提示：</strong> 不完整的数据行会被忽略，不参与计算，也不标记为离群点。</p> <h3 id="使用示例-3"><a href="#使用示例-3" class="header-anchor">#</a> 使用示例</h3> <h4 id="默认参数"><a href="#默认参数" class="header-anchor">#</a> 默认参数</h4> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------+---------------+ |
| | Time|root.test.d1.s1|root.test.d1.s2| |
| +-----------------------------+---------------+---------------+ |
| |1970-01-01T08:00:00.100+08:00| 0.0| 0.0| |
| |1970-01-01T08:00:00.200+08:00| 0.0| 1.0| |
| |1970-01-01T08:00:00.300+08:00| 1.0| 1.0| |
| |1970-01-01T08:00:00.400+08:00| 1.0| 0.0| |
| |1970-01-01T08:00:00.500+08:00| 0.0| -1.0| |
| |1970-01-01T08:00:00.600+08:00| -1.0| -1.0| |
| |1970-01-01T08:00:00.700+08:00| -1.0| 0.0| |
| |1970-01-01T08:00:00.800+08:00| 2.0| 2.0| |
| |1970-01-01T08:00:00.900+08:00| 0.0| null| |
| +-----------------------------+---------------+---------------+ |
| </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>用于查询的 SQL 语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> lof<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>test<span class="token punctuation">.</span>d1 <span class="token keyword">where</span> <span class="token keyword">time</span><span class="token operator"><</span><span class="token number">1000</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+-------------------------------------+ |
| | Time|lof(root.test.d1.s1, root.test.d1.s2)| |
| +-----------------------------+-------------------------------------+ |
| |1970-01-01T08:00:00.100+08:00| 3.8274824267668244| |
| |1970-01-01T08:00:00.200+08:00| 3.0117631741126156| |
| |1970-01-01T08:00:00.300+08:00| 2.838155437762879| |
| |1970-01-01T08:00:00.400+08:00| 3.0117631741126156| |
| |1970-01-01T08:00:00.500+08:00| 2.73518261244453| |
| |1970-01-01T08:00:00.600+08:00| 2.371440975708148| |
| |1970-01-01T08:00:00.700+08:00| 2.73518261244453| |
| |1970-01-01T08:00:00.800+08:00| 1.7561416374270742| |
| +-----------------------------+-------------------------------------+ |
| </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><h4 id="诊断一维时间序列"><a href="#诊断一维时间序列" class="header-anchor">#</a> 诊断一维时间序列</h4> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------+ |
| | Time|root.test.d1.s1| |
| +-----------------------------+---------------+ |
| |1970-01-01T08:00:00.100+08:00| 1.0| |
| |1970-01-01T08:00:00.200+08:00| 2.0| |
| |1970-01-01T08:00:00.300+08:00| 3.0| |
| |1970-01-01T08:00:00.400+08:00| 4.0| |
| |1970-01-01T08:00:00.500+08:00| 5.0| |
| |1970-01-01T08:00:00.600+08:00| 6.0| |
| |1970-01-01T08:00:00.700+08:00| 7.0| |
| |1970-01-01T08:00:00.800+08:00| 8.0| |
| |1970-01-01T08:00:00.900+08:00| 9.0| |
| |1970-01-01T08:00:01.000+08:00| 10.0| |
| |1970-01-01T08:00:01.100+08:00| 11.0| |
| |1970-01-01T08:00:01.200+08:00| 12.0| |
| |1970-01-01T08:00:01.300+08:00| 13.0| |
| |1970-01-01T08:00:01.400+08:00| 14.0| |
| |1970-01-01T08:00:01.500+08:00| 15.0| |
| |1970-01-01T08:00:01.600+08:00| 16.0| |
| |1970-01-01T08:00:01.700+08:00| 17.0| |
| |1970-01-01T08:00:01.800+08:00| 18.0| |
| |1970-01-01T08:00:01.900+08:00| 19.0| |
| |1970-01-01T08:00:02.000+08:00| 20.0| |
| +-----------------------------+---------------+ |
| </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></div></div><p>用于查询的 SQL 语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> lof<span class="token punctuation">(</span>s1<span class="token punctuation">,</span> <span class="token string">"method"</span><span class="token operator">=</span><span class="token string">"series"</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">.</span>d1 <span class="token keyword">where</span> <span class="token keyword">time</span><span class="token operator"><</span><span class="token number">1000</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+--------------------+ |
| | Time|lof(root.test.d1.s1)| |
| +-----------------------------+--------------------+ |
| |1970-01-01T08:00:00.100+08:00| 3.77777777777778| |
| |1970-01-01T08:00:00.200+08:00| 4.32727272727273| |
| |1970-01-01T08:00:00.300+08:00| 4.85714285714286| |
| |1970-01-01T08:00:00.400+08:00| 5.40909090909091| |
| |1970-01-01T08:00:00.500+08:00| 5.94999999999999| |
| |1970-01-01T08:00:00.600+08:00| 6.43243243243243| |
| |1970-01-01T08:00:00.700+08:00| 6.79999999999999| |
| |1970-01-01T08:00:00.800+08:00| 7.0| |
| |1970-01-01T08:00:00.900+08:00| 7.0| |
| |1970-01-01T08:00:01.000+08:00| 6.79999999999999| |
| |1970-01-01T08:00:01.100+08:00| 6.43243243243243| |
| |1970-01-01T08:00:01.200+08:00| 5.94999999999999| |
| |1970-01-01T08:00:01.300+08:00| 5.40909090909091| |
| |1970-01-01T08:00:01.400+08:00| 4.85714285714286| |
| |1970-01-01T08:00:01.500+08:00| 4.32727272727273| |
| |1970-01-01T08:00:01.600+08:00| 3.77777777777778| |
| +-----------------------------+--------------------+ |
| </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><h2 id="missdetect"><a href="#missdetect" class="header-anchor">#</a> MissDetect</h2> <h3 id="函数简介-4"><a href="#函数简介-4" class="header-anchor">#</a> 函数简介</h3> <p>本函数用于检测数据中的缺失异常。在一些数据中，缺失数据会被线性插值填补，在数据中出现完美的线性片段，且这些片段往往长度较大。本函数通过在数据中发现这些完美线性片段来检测缺失异常。</p> <p><strong>函数名：</strong> MISSDETECT</p> <p><strong>输入序列：</strong> 仅支持单个输入序列，类型为 INT32 / INT64 / FLOAT / DOUBLE。</p> <p><strong>参数：</strong></p> <ul><li><code>minlen</code>：被标记为异常的完美线性片段的最小长度，是一个大于等于 10 的整数，默认值为 10。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型为 BOOLEAN，即该数据点是否为缺失异常。</p> <p><strong>提示：</strong> 数据中的<code>NaN</code>将会被忽略。</p> <h3 id="使用示例-4"><a href="#使用示例-4" class="header-anchor">#</a> 使用示例</h3> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------+ |
| | Time|root.test.d2.s2| |
| +-----------------------------+---------------+ |
| |2021-07-01T12:00:00.000+08:00| 0.0| |
| |2021-07-01T12:00:01.000+08:00| 1.0| |
| |2021-07-01T12:00:02.000+08:00| 0.0| |
| |2021-07-01T12:00:03.000+08:00| 1.0| |
| |2021-07-01T12:00:04.000+08:00| 0.0| |
| |2021-07-01T12:00:05.000+08:00| 0.0| |
| |2021-07-01T12:00:06.000+08:00| 0.0| |
| |2021-07-01T12:00:07.000+08:00| 0.0| |
| |2021-07-01T12:00:08.000+08:00| 0.0| |
| |2021-07-01T12:00:09.000+08:00| 0.0| |
| |2021-07-01T12:00:10.000+08:00| 0.0| |
| |2021-07-01T12:00:11.000+08:00| 0.0| |
| |2021-07-01T12:00:12.000+08:00| 0.0| |
| |2021-07-01T12:00:13.000+08:00| 0.0| |
| |2021-07-01T12:00:14.000+08:00| 0.0| |
| |2021-07-01T12:00:15.000+08:00| 0.0| |
| |2021-07-01T12:00:16.000+08:00| 1.0| |
| |2021-07-01T12:00:17.000+08:00| 0.0| |
| |2021-07-01T12:00:18.000+08:00| 1.0| |
| |2021-07-01T12:00:19.000+08:00| 0.0| |
| |2021-07-01T12:00:20.000+08:00| 1.0| |
| +-----------------------------+---------------+ |
| </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></div></div><p>用于查询的SQL语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> missdetect<span class="token punctuation">(</span>s2<span class="token punctuation">,</span><span class="token string">'minlen'</span><span class="token operator">=</span><span class="token string">'10'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">.</span>d2 |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+------------------------------------------+ |
| | Time|missdetect(root.test.d2.s2, "minlen"="10")| |
| +-----------------------------+------------------------------------------+ |
| |2021-07-01T12:00:00.000+08:00| false| |
| |2021-07-01T12:00:01.000+08:00| false| |
| |2021-07-01T12:00:02.000+08:00| false| |
| |2021-07-01T12:00:03.000+08:00| false| |
| |2021-07-01T12:00:04.000+08:00| true| |
| |2021-07-01T12:00:05.000+08:00| true| |
| |2021-07-01T12:00:06.000+08:00| true| |
| |2021-07-01T12:00:07.000+08:00| true| |
| |2021-07-01T12:00:08.000+08:00| true| |
| |2021-07-01T12:00:09.000+08:00| true| |
| |2021-07-01T12:00:10.000+08:00| true| |
| |2021-07-01T12:00:11.000+08:00| true| |
| |2021-07-01T12:00:12.000+08:00| true| |
| |2021-07-01T12:00:13.000+08:00| true| |
| |2021-07-01T12:00:14.000+08:00| true| |
| |2021-07-01T12:00:15.000+08:00| true| |
| |2021-07-01T12:00:16.000+08:00| false| |
| |2021-07-01T12:00:17.000+08:00| false| |
| |2021-07-01T12:00:18.000+08:00| false| |
| |2021-07-01T12:00:19.000+08:00| false| |
| |2021-07-01T12:00:20.000+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><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></div></div><h2 id="range"><a href="#range" class="header-anchor">#</a> Range</h2> <h3 id="函数简介-5"><a href="#函数简介-5" class="header-anchor">#</a> 函数简介</h3> <p>本函数用于查找时间序列的范围异常。将根据提供的上界与下界，判断输入数据是否越界，即异常，并输出所有异常点为新的时间序列。</p> <p><strong>函数名：</strong> RANGE</p> <p><strong>输入序列：</strong> 仅支持单个输入序列，类型为 INT32 / INT64 / FLOAT / DOUBLE</p> <p><strong>参数：</strong></p> <ul><li><code>lower_bound</code>:范围异常检测的下界。</li> <li><code>upper_bound</code>:范围异常检测的上界。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型与输入序列相同。</p> <p><strong>提示：</strong> 应满足<code>upper_bound</code>大于<code>lower_bound</code>，否则将不做输出。</p> <h3 id="使用示例-5"><a href="#使用示例-5" class="header-anchor">#</a> 使用示例</h3> <h4 id="指定上界与下界"><a href="#指定上界与下界" class="header-anchor">#</a> 指定上界与下界</h4> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+---------------+ |
| | Time|root.test.d1.s1| |
| +-----------------------------+---------------+ |
| |2020-01-01T00:00:02.000+08:00| 100.0| |
| |2020-01-01T00:00:03.000+08:00| 101.0| |
| |2020-01-01T00:00:04.000+08:00| 102.0| |
| |2020-01-01T00:00:06.000+08:00| 104.0| |
| |2020-01-01T00:00:08.000+08:00| 126.0| |
| |2020-01-01T00:00:10.000+08:00| 108.0| |
| |2020-01-01T00:00:14.000+08:00| 112.0| |
| |2020-01-01T00:00:15.000+08:00| 113.0| |
| |2020-01-01T00:00:16.000+08:00| 114.0| |
| |2020-01-01T00:00:18.000+08:00| 116.0| |
| |2020-01-01T00:00:20.000+08:00| 118.0| |
| |2020-01-01T00:00:22.000+08:00| 120.0| |
| |2020-01-01T00:00:26.000+08:00| 124.0| |
| |2020-01-01T00:00:28.000+08:00| 126.0| |
| |2020-01-01T00:00:30.000+08:00| NaN| |
| +-----------------------------+---------------+ |
| </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></div></div><p>用于查询的 SQL 语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> range<span class="token punctuation">(</span>s1<span class="token punctuation">,</span><span class="token string">"lower_bound"</span><span class="token operator">=</span><span class="token string">"101.0"</span><span class="token punctuation">,</span><span class="token string">"upper_bound"</span><span class="token operator">=</span><span class="token string">"125.0"</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test<span class="token punctuation">.</span>d1 <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">01</span><span class="token operator">-</span><span class="token number">01</span> <span class="token number">00</span>:<span class="token number">00</span>:<span class="token number">30</span> |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+------------------------------------------------------------------+ |
| |Time |range(root.test.d1.s1,"lower_bound"="101.0","upper_bound"="125.0")| |
| +-----------------------------+------------------------------------------------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 100.0| |
| |2020-01-01T00:00:28.000+08:00| 126.0| |
| +-----------------------------+------------------------------------------------------------------+ |
| </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></div></div><h2 id="twosidedfilter"><a href="#twosidedfilter" class="header-anchor">#</a> TwoSidedFilter</h2> <h3 id="函数简介-6"><a href="#函数简介-6" class="header-anchor">#</a> 函数简介</h3> <p>本函数基于双边窗口检测法对输入序列中的异常点进行过滤。</p> <p><strong>函数名：</strong> TWOSIDEDFILTER</p> <p><strong>输出序列：</strong> 仅支持单个输入序列，类型为 INT32 / INT64 / FLOAT / DOUBLE</p> <p><strong>输出序列：</strong> 输出单个序列，类型与输入相同，是输入序列去除异常点后的结果。</p> <p><strong>参数：</strong></p> <ul><li><code>len</code>：双边窗口检测法中的窗口大小，取值范围为正整数，默认值为 5.如当<code>len</code>=3 时，算法向前、向后各取长度为3的窗口，在窗口中计算异常度。</li> <li><code>threshold</code>：异常度的阈值，取值范围为(0,1)，默认值为 0.3。阈值越高，函数对于异常度的判定标准越严格。</li></ul> <h3 id="使用示例-6"><a href="#使用示例-6" class="header-anchor">#</a> 使用示例</h3> <p>输入序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+------------+ |
| | Time|root.test.s0| |
| +-----------------------------+------------+ |
| |1970-01-01T08:00:00.000+08:00| 2002.0| |
| |1970-01-01T08:00:01.000+08:00| 1946.0| |
| |1970-01-01T08:00:02.000+08:00| 1958.0| |
| |1970-01-01T08:00:03.000+08:00| 2012.0| |
| |1970-01-01T08:00:04.000+08:00| 2051.0| |
| |1970-01-01T08:00:05.000+08:00| 1898.0| |
| |1970-01-01T08:00:06.000+08:00| 2014.0| |
| |1970-01-01T08:00:07.000+08:00| 2052.0| |
| |1970-01-01T08:00:08.000+08:00| 1935.0| |
| |1970-01-01T08:00:09.000+08:00| 1901.0| |
| |1970-01-01T08:00:10.000+08:00| 1972.0| |
| |1970-01-01T08:00:11.000+08:00| 1969.0| |
| |1970-01-01T08:00:12.000+08:00| 1984.0| |
| |1970-01-01T08:00:13.000+08:00| 2018.0| |
| |1970-01-01T08:00:37.000+08:00| 1484.0| |
| |1970-01-01T08:00:38.000+08:00| 1055.0| |
| |1970-01-01T08:00:39.000+08:00| 1050.0| |
| |1970-01-01T08:01:05.000+08:00| 1023.0| |
| |1970-01-01T08:01:06.000+08:00| 1056.0| |
| |1970-01-01T08:01:07.000+08:00| 978.0| |
| |1970-01-01T08:01:08.000+08:00| 1050.0| |
| |1970-01-01T08:01:09.000+08:00| 1123.0| |
| |1970-01-01T08:01:10.000+08:00| 1150.0| |
| |1970-01-01T08:01:11.000+08:00| 1034.0| |
| |1970-01-01T08:01:12.000+08:00| 950.0| |
| |1970-01-01T08:01:13.000+08:00| 1059.0| |
| +-----------------------------+------------+ |
| </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>用于查询的 SQL 语句：</p> <div class="language-sql line-numbers-mode"><pre class="language-sql"><code><span class="token keyword">select</span> TwoSidedFilter<span class="token punctuation">(</span>s0<span class="token punctuation">,</span> <span class="token string">'len'</span><span class="token operator">=</span><span class="token string">'5'</span><span class="token punctuation">,</span> <span class="token string">'threshold'</span><span class="token operator">=</span><span class="token string">'0.3'</span><span class="token punctuation">)</span> <span class="token keyword">from</span> root<span class="token punctuation">.</span>test |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br></div></div><p>输出序列：</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>+-----------------------------+------------+ |
| | Time|root.test.s0| |
| +-----------------------------+------------+ |
| |1970-01-01T08:00:00.000+08:00| 2002.0| |
| |1970-01-01T08:00:01.000+08:00| 1946.0| |
| |1970-01-01T08:00:02.000+08:00| 1958.0| |
| |1970-01-01T08:00:03.000+08:00| 2012.0| |
| |1970-01-01T08:00:04.000+08:00| 2051.0| |
| |1970-01-01T08:00:05.000+08:00| 1898.0| |
| |1970-01-01T08:00:06.000+08:00| 2014.0| |
| |1970-01-01T08:00:07.000+08:00| 2052.0| |
| |1970-01-01T08:00:08.000+08:00| 1935.0| |
| |1970-01-01T08:00:09.000+08:00| 1901.0| |
| |1970-01-01T08:00:10.000+08:00| 1972.0| |
| |1970-01-01T08:00:11.000+08:00| 1969.0| |
| |1970-01-01T08:00:12.000+08:00| 1984.0| |
| |1970-01-01T08:00:13.000+08:00| 2018.0| |
| |1970-01-01T08:01:05.000+08:00| 1023.0| |
| |1970-01-01T08:01:06.000+08:00| 1056.0| |
| |1970-01-01T08:01:07.000+08:00| 978.0| |
| |1970-01-01T08:01:08.000+08:00| 1050.0| |
| |1970-01-01T08:01:09.000+08:00| 1123.0| |
| |1970-01-01T08:01:10.000+08:00| 1150.0| |
| |1970-01-01T08:01:11.000+08:00| 1034.0| |
| |1970-01-01T08:01:12.000+08:00| 950.0| |
| |1970-01-01T08:01:13.000+08:00| 1059.0| |
| +-----------------------------+------------+ |
| </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></div></div></div> <div class="page-nav"><p class="inner"><span class="prev"> |
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