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href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Quality.html#completeness" class="sidebar-link">Completeness</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Quality.html#consistency" class="sidebar-link">Consistency</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Quality.html#timeliness" class="sidebar-link">Timeliness</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Quality.html#validity" class="sidebar-link">Validity</a></li></ul></li><li><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Repairing.html" class="sidebar-link">数据修复</a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Repairing.html#timestamprepair" class="sidebar-link">TimestampRepair</a></li><li class="sidebar-sub-header"><a href="/zh/UserGuide/V0.13.x/UDF-Library/Data-Repairing.html#valuefill" class="sidebar-link">ValueFill</a></li><li 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="数据质量"><a href="#数据质量" class="header-anchor">#</a> 数据质量</h1> <h2 id="completeness"><a href="#completeness" class="header-anchor">#</a> Completeness</h2> <h3 id="函数简介"><a href="#函数简介" class="header-anchor">#</a> 函数简介</h3> <p>本函数用于计算时间序列的完整性。将输入序列划分为若干个连续且不重叠的窗口，分别计算每一个窗口的完整性，并输出窗口第一个数据点的时间戳和窗口的完整性。</p> <p><strong>函数名：</strong> COMPLETENESS</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>window</code>：窗口大小，它是一个大于0的整数或者一个有单位的正数。前者代表每一个窗口包含的数据点数目，最后一个窗口的数据点数目可能会不足；后者代表窗口的时间跨度，目前支持五种单位，分别是'ms'（毫秒）、's'（秒）、'm'（分钟）、'h'（小时）和'd'（天）。缺省情况下，全部输入数据都属于同一个窗口。</li> <li><code>downtime</code>：完整性计算是否考虑停机异常。它的取值为 'true' 或 'false'，默认值为 'true'. 在考虑停机异常时，长时间的数据缺失将被视作停机，不对完整性产生影响。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型为DOUBLE，其中每一个数据点的值的范围都是 [0,1].</p> <p><strong>提示：</strong> 只有当窗口内的数据点数目超过10时，才会进行完整性计算。否则，该窗口将被忽略，不做任何输出。</p> <h3 id="使用示例"><a href="#使用示例" class="header-anchor">#</a> 使用示例</h3> <h4 id="参数缺省"><a href="#参数缺省" class="header-anchor">#</a> 参数缺省</h4> <p>在参数缺省的情况下，本函数将会把全部输入数据都作为同一个窗口计算完整性。</p> <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> completeness<span class="token punctuation">(</span>s1<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|completeness(root.test.d1.s1)| |
| +-----------------------------+-----------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.875| |
| +-----------------------------+-----------------------------+ |
| </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><h4 id="指定窗口大小"><a href="#指定窗口大小" class="header-anchor">#</a> 指定窗口大小</h4> <p>在指定窗口大小的情况下，本函数会把输入数据划分为若干个窗口计算完整性。</p> <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| |
| |2020-01-01T00:00:32.000+08:00| 130.0| |
| |2020-01-01T00:00:34.000+08:00| 132.0| |
| |2020-01-01T00:00:36.000+08:00| 134.0| |
| |2020-01-01T00:00:38.000+08:00| 136.0| |
| |2020-01-01T00:00:40.000+08:00| 138.0| |
| |2020-01-01T00:00:42.000+08:00| 140.0| |
| |2020-01-01T00:00:44.000+08:00| 142.0| |
| |2020-01-01T00:00:46.000+08:00| 144.0| |
| |2020-01-01T00:00:48.000+08:00| 146.0| |
| |2020-01-01T00:00:50.000+08:00| 148.0| |
| |2020-01-01T00:00:52.000+08:00| 150.0| |
| |2020-01-01T00:00:54.000+08:00| 152.0| |
| |2020-01-01T00:00:56.000+08:00| 154.0| |
| |2020-01-01T00:00:58.000+08:00| 156.0| |
| |2020-01-01T00:01:00.000+08:00| 158.0| |
| +-----------------------------+---------------+ |
| </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><span class="line-number">32</span><br><span class="line-number">33</span><br><span class="line-number">34</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> completeness<span class="token punctuation">(</span>s1<span class="token punctuation">,</span><span class="token string">"window"</span><span class="token operator">=</span><span class="token string">"15"</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">01</span>:<span class="token number">00</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|completeness(root.test.d1.s1, "window"="15")| |
| +-----------------------------+--------------------------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.875| |
| |2020-01-01T00:00:32.000+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></div></div><h2 id="consistency"><a href="#consistency" class="header-anchor">#</a> Consistency</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>本函数用于计算时间序列的一致性。将输入序列划分为若干个连续且不重叠的窗口，分别计算每一个窗口的一致性，并输出窗口第一个数据点的时间戳和窗口的时效性。</p> <p><strong>函数名：</strong> CONSISTENCY</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>window</code>：窗口大小，它是一个大于0的整数或者一个有单位的正数。前者代表每一个窗口包含的数据点数目，最后一个窗口的数据点数目可能会不足；后者代表窗口的时间跨度，目前支持五种单位，分别是 'ms'（毫秒）、's'（秒）、'm'（分钟）、'h'（小时）和'd'（天）。缺省情况下，全部输入数据都属于同一个窗口。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型为DOUBLE，其中每一个数据点的值的范围都是 [0,1].</p> <p><strong>提示：</strong> 只有当窗口内的数据点数目超过10时，才会进行一致性计算。否则，该窗口将被忽略，不做任何输出。</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="参数缺省-2"><a href="#参数缺省-2" class="header-anchor">#</a> 参数缺省</h4> <p>在参数缺省的情况下，本函数将会把全部输入数据都作为同一个窗口计算一致性。</p> <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> consistency<span class="token punctuation">(</span>s1<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|consistency(root.test.d1.s1)| |
| +-----------------------------+----------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.9333333333333333| |
| +-----------------------------+----------------------------+ |
| </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><h4 id="指定窗口大小-2"><a href="#指定窗口大小-2" class="header-anchor">#</a> 指定窗口大小</h4> <p>在指定窗口大小的情况下，本函数会把输入数据划分为若干个窗口计算一致性。</p> <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| |
| |2020-01-01T00:00:32.000+08:00| 130.0| |
| |2020-01-01T00:00:34.000+08:00| 132.0| |
| |2020-01-01T00:00:36.000+08:00| 134.0| |
| |2020-01-01T00:00:38.000+08:00| 136.0| |
| |2020-01-01T00:00:40.000+08:00| 138.0| |
| |2020-01-01T00:00:42.000+08:00| 140.0| |
| |2020-01-01T00:00:44.000+08:00| 142.0| |
| |2020-01-01T00:00:46.000+08:00| 144.0| |
| |2020-01-01T00:00:48.000+08:00| 146.0| |
| |2020-01-01T00:00:50.000+08:00| 148.0| |
| |2020-01-01T00:00:52.000+08:00| 150.0| |
| |2020-01-01T00:00:54.000+08:00| 152.0| |
| |2020-01-01T00:00:56.000+08:00| 154.0| |
| |2020-01-01T00:00:58.000+08:00| 156.0| |
| |2020-01-01T00:01:00.000+08:00| 158.0| |
| +-----------------------------+---------------+ |
| </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><span class="line-number">32</span><br><span class="line-number">33</span><br><span class="line-number">34</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> consistency<span class="token punctuation">(</span>s1<span class="token punctuation">,</span><span class="token string">"window"</span><span class="token operator">=</span><span class="token string">"15"</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">01</span>:<span class="token number">00</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|consistency(root.test.d1.s1, "window"="15")| |
| +-----------------------------+-------------------------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.9333333333333333| |
| |2020-01-01T00:00:32.000+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></div></div><h2 id="timeliness"><a href="#timeliness" class="header-anchor">#</a> Timeliness</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>本函数用于计算时间序列的时效性。将输入序列划分为若干个连续且不重叠的窗口，分别计算每一个窗口的时效性，并输出窗口第一个数据点的时间戳和窗口的时效性。</p> <p><strong>函数名：</strong> TIMELINESS</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>window</code>：窗口大小，它是一个大于0的整数或者一个有单位的正数。前者代表每一个窗口包含的数据点数目，最后一个窗口的数据点数目可能会不足；后者代表窗口的时间跨度，目前支持五种单位，分别是 'ms'（毫秒）、's'（秒）、'm'（分钟）、'h'（小时）和'd'（天）。缺省情况下，全部输入数据都属于同一个窗口。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型为DOUBLE，其中每一个数据点的值的范围都是 [0,1].</p> <p><strong>提示：</strong> 只有当窗口内的数据点数目超过10时，才会进行时效性计算。否则，该窗口将被忽略，不做任何输出。</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="参数缺省-3"><a href="#参数缺省-3" class="header-anchor">#</a> 参数缺省</h4> <p>在参数缺省的情况下，本函数将会把全部输入数据都作为同一个窗口计算时效性。</p> <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> timeliness<span class="token punctuation">(</span>s1<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|timeliness(root.test.d1.s1)| |
| +-----------------------------+---------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.9333333333333333| |
| +-----------------------------+---------------------------+ |
| </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><h4 id="指定窗口大小-3"><a href="#指定窗口大小-3" class="header-anchor">#</a> 指定窗口大小</h4> <p>在指定窗口大小的情况下，本函数会把输入数据划分为若干个窗口计算时效性。</p> <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| |
| |2020-01-01T00:00:32.000+08:00| 130.0| |
| |2020-01-01T00:00:34.000+08:00| 132.0| |
| |2020-01-01T00:00:36.000+08:00| 134.0| |
| |2020-01-01T00:00:38.000+08:00| 136.0| |
| |2020-01-01T00:00:40.000+08:00| 138.0| |
| |2020-01-01T00:00:42.000+08:00| 140.0| |
| |2020-01-01T00:00:44.000+08:00| 142.0| |
| |2020-01-01T00:00:46.000+08:00| 144.0| |
| |2020-01-01T00:00:48.000+08:00| 146.0| |
| |2020-01-01T00:00:50.000+08:00| 148.0| |
| |2020-01-01T00:00:52.000+08:00| 150.0| |
| |2020-01-01T00:00:54.000+08:00| 152.0| |
| |2020-01-01T00:00:56.000+08:00| 154.0| |
| |2020-01-01T00:00:58.000+08:00| 156.0| |
| |2020-01-01T00:01:00.000+08:00| 158.0| |
| +-----------------------------+---------------+ |
| </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><span class="line-number">32</span><br><span class="line-number">33</span><br><span class="line-number">34</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> timeliness<span class="token punctuation">(</span>s1<span class="token punctuation">,</span><span class="token string">"window"</span><span class="token operator">=</span><span class="token string">"15"</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">01</span>:<span class="token number">00</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|timeliness(root.test.d1.s1, "window"="15")| |
| +-----------------------------+------------------------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.9333333333333333| |
| |2020-01-01T00:00:32.000+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></div></div><h2 id="validity"><a href="#validity" class="header-anchor">#</a> Validity</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>本函数用于计算时间序列的有效性。将输入序列划分为若干个连续且不重叠的窗口，分别计算每一个窗口的有效性，并输出窗口第一个数据点的时间戳和窗口的有效性。</p> <p><strong>函数名：</strong> VALIDITY</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>window</code>：窗口大小，它是一个大于0的整数或者一个有单位的正数。前者代表每一个窗口包含的数据点数目，最后一个窗口的数据点数目可能会不足；后者代表窗口的时间跨度，目前支持五种单位，分别是 'ms'（毫秒）、's'（秒）、'm'（分钟）、'h'（小时）和'd'（天）。缺省情况下，全部输入数据都属于同一个窗口。</li></ul> <p><strong>输出序列：</strong> 输出单个序列，类型为DOUBLE，其中每一个数据点的值的范围都是 [0,1].</p> <p><strong>提示：</strong> 只有当窗口内的数据点数目超过10时，才会进行有效性计算。否则，该窗口将被忽略，不做任何输出。</p> <h3 id="使用示例-4"><a href="#使用示例-4" class="header-anchor">#</a> 使用示例</h3> <h4 id="参数缺省-4"><a href="#参数缺省-4" class="header-anchor">#</a> 参数缺省</h4> <p>在参数缺省的情况下，本函数将会把全部输入数据都作为同一个窗口计算有效性。</p> <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> validity<span class="token punctuation">(</span>s1<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|validity(root.test.d1.s1)| |
| +-----------------------------+-------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.8833333333333333| |
| +-----------------------------+-------------------------+ |
| </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><h4 id="指定窗口大小-4"><a href="#指定窗口大小-4" class="header-anchor">#</a> 指定窗口大小</h4> <p>在指定窗口大小的情况下，本函数会把输入数据划分为若干个窗口计算有效性。</p> <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| |
| |2020-01-01T00:00:32.000+08:00| 130.0| |
| |2020-01-01T00:00:34.000+08:00| 132.0| |
| |2020-01-01T00:00:36.000+08:00| 134.0| |
| |2020-01-01T00:00:38.000+08:00| 136.0| |
| |2020-01-01T00:00:40.000+08:00| 138.0| |
| |2020-01-01T00:00:42.000+08:00| 140.0| |
| |2020-01-01T00:00:44.000+08:00| 142.0| |
| |2020-01-01T00:00:46.000+08:00| 144.0| |
| |2020-01-01T00:00:48.000+08:00| 146.0| |
| |2020-01-01T00:00:50.000+08:00| 148.0| |
| |2020-01-01T00:00:52.000+08:00| 150.0| |
| |2020-01-01T00:00:54.000+08:00| 152.0| |
| |2020-01-01T00:00:56.000+08:00| 154.0| |
| |2020-01-01T00:00:58.000+08:00| 156.0| |
| |2020-01-01T00:01:00.000+08:00| 158.0| |
| +-----------------------------+---------------+ |
| </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><span class="line-number">32</span><br><span class="line-number">33</span><br><span class="line-number">34</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> validity<span class="token punctuation">(</span>s1<span class="token punctuation">,</span><span class="token string">"window"</span><span class="token operator">=</span><span class="token string">"15"</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">01</span>:<span class="token number">00</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|validity(root.test.d1.s1, "window"="15")| |
| +-----------------------------+----------------------------------------+ |
| |2020-01-01T00:00:02.000+08:00| 0.8833333333333333| |
| |2020-01-01T00:00:32.000+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></div></div></div> <div class="page-nav"><p class="inner"><span class="prev"> |
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