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href="/UserGuide/V1.2.x/Operators-Functions/User-Defined-Function.html" class="nav-link sidebar-link sidebar-page" aria-label="UDF (User Defined Function)"><!---->UDF (User Defined Function)<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Aggregation.html" class="nav-link sidebar-link sidebar-page" aria-label="Aggregation"><!---->Aggregation<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Mathematical.html" class="nav-link sidebar-link sidebar-page" aria-label="Mathematical"><!---->Mathematical<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Comparison.html" class="nav-link sidebar-link sidebar-page" aria-label="Comparison"><!---->Comparison<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Logical.html" class="nav-link sidebar-link sidebar-page" aria-label="Logical"><!---->Logical<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Conversion.html" class="nav-link sidebar-link sidebar-page" aria-label="Conversion"><!---->Conversion<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Constant.html" class="nav-link sidebar-link sidebar-page" aria-label="Constant"><!---->Constant<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Selection.html" class="nav-link sidebar-link sidebar-page" aria-label="Selection"><!---->Selection<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Continuous-Interval.html" class="nav-link sidebar-link sidebar-page" aria-label="Continuous Interval"><!---->Continuous Interval<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Variation-Trend.html" class="nav-link sidebar-link sidebar-page" aria-label="Variation Trend"><!---->Variation Trend<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Sample.html" class="nav-link sidebar-link sidebar-page" aria-label="Sample"><!---->Sample<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Time-Series.html" class="nav-link sidebar-link sidebar-page" aria-label="Time-Series"><!---->Time-Series<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Lambda.html" class="nav-link sidebar-link sidebar-page" aria-label="Lambda"><!---->Lambda<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Conditional.html" class="nav-link sidebar-link sidebar-page" aria-label="Conditional Expression"><!---->Conditional Expression<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Data-Profiling.html" class="nav-link sidebar-link sidebar-page" aria-label="Data Profiling"><!---->Data Profiling<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Anomaly-Detection.html" class="nav-link sidebar-link sidebar-page" aria-label="Anomaly Detection"><!---->Anomaly Detection<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Data-Matching.html" class="nav-link sidebar-link sidebar-page" aria-label="Data Matching"><!---->Data Matching<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Frequency-Domain.html" class="nav-link sidebar-link sidebar-page" aria-label="Frequency Domain"><!---->Frequency Domain<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Data-Quality.html" class="nav-link sidebar-link sidebar-page" aria-label="Data Quality"><!---->Data Quality<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Data-Repairing.html" class="nav-link sidebar-link sidebar-page" aria-label="Data Repairing"><!---->Data Repairing<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a href="/UserGuide/V1.2.x/Operators-Functions/Series-Discovery.html" class="nav-link sidebar-link sidebar-page" aria-label="Series Discovery"><!---->Series Discovery<!----></a><ul class="sidebar-sub-headers"></ul><!--]--></li><li><!--[--><a aria-current="page" href="/UserGuide/V1.2.x/Operators-Functions/Machine-Learning.html" class="router-link-active router-link-exact-active nav-link active sidebar-link sidebar-page active" aria-label="Machine Learning"><!---->Machine Learning<!----></a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a aria-current="page" href="/UserGuide/V1.2.x/Operators-Functions/Machine-Learning.html#ar" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="AR"><!---->AR<!----></a><ul class="sidebar-sub-headers"><li class="sidebar-sub-header"><a aria-current="page" href="/UserGuide/V1.2.x/Operators-Functions/Machine-Learning.html#usage" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="Usage"><!---->Usage<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/UserGuide/V1.2.x/Operators-Functions/Machine-Learning.html#examples" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="Examples"><!---->Examples<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/UserGuide/V1.2.x/Operators-Functions/Machine-Learning.html#representation" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="Representation"><!---->Representation<!----></a><ul class="sidebar-sub-headers"></ul></li><li class="sidebar-sub-header"><a aria-current="page" href="/UserGuide/V1.2.x/Operators-Functions/Machine-Learning.html#rm" class="router-link-active router-link-exact-active nav-link sidebar-link heading" aria-label="RM"><!---->RM<!----></a><ul class="sidebar-sub-headers"></ul></li></ul></li></ul><!--]--></li></ul></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Trigger</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Monitor and Alert</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Administration Management</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Maintenance Tools</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Collaboration of Edge and Cloud</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Ecosystem Integration</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Cluster</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">FAQ</span><span class="arrow end"></span></button><!----></section></li><li><section class="sidebar-group"><button class="sidebar-heading clickable"><!----><span class="title">Reference</span><span class="arrow end"></span></button><!----></section></li></ul><!--[--><!----><!--]--></aside><!--[--><main class="page" id="main-content"><!--[--><!----><nav class="breadcrumb disable"></nav><div class="page-title"><h1><!---->Machine Learning</h1><div class="page-info"><!----><!----><!----><!----><span class="page-reading-time-info" aria-label="Reading Time"><svg xmlns="http://www.w3.org/2000/svg" class="icon timer-icon" viewBox="0 0 1024 1024" fill="currentColor" aria-label="timer icon"><path d="M799.387 122.15c4.402-2.978 7.38-7.897 7.38-13.463v-1.165c0-8.933-7.38-16.312-16.312-16.312H256.33c-8.933 0-16.311 7.38-16.311 16.312v1.165c0 5.825 2.977 10.874 7.637 13.592 4.143 194.44 97.22 354.963 220.201 392.763-122.204 37.542-214.893 196.511-220.2 389.397-4.661 5.049-7.638 11.651-7.638 19.03v5.825h566.49v-5.825c0-7.379-2.849-13.981-7.509-18.9-5.049-193.016-97.867-351.985-220.2-389.527 123.24-37.67 216.446-198.453 220.588-392.892zM531.16 450.445v352.632c117.674 1.553 211.787 40.778 211.787 88.676H304.097c0-48.286 95.149-87.382 213.728-88.676V450.445c-93.077-3.107-167.901-81.297-167.901-177.093 0-8.803 6.99-15.793 15.793-15.793 8.803 0 15.794 6.99 15.794 15.793 0 80.261 63.69 145.635 142.01 145.635s142.011-65.374 142.011-145.635c0-8.803 6.99-15.793 15.794-15.793s15.793 6.99 15.793 15.793c0 95.019-73.789 172.82-165.96 177.093z"></path></svg><span>About 3 min</span><meta property="timeRequired" content="PT3M"></span><!----><!----></div><hr></div><div class="toc-place-holder"><aside id="toc"><!--[--><!----><!--]--><div class="toc-header">On This Page<button class="print-button" title="Print"><svg xmlns="http://www.w3.org/2000/svg" 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| --><h1 id="machine-learning" tabindex="-1"><a class="header-anchor" href="#machine-learning" aria-hidden="true">#</a> Machine Learning</h1><h2 id="ar" tabindex="-1"><a class="header-anchor" href="#ar" aria-hidden="true">#</a> AR</h2><h3 id="usage" tabindex="-1"><a class="header-anchor" href="#usage" aria-hidden="true">#</a> Usage</h3><p>This function is used to learn the coefficients of the autoregressive models for a time series.</p><p><strong>Name:</strong> AR</p><p><strong>Input Series:</strong> Only support a single input numeric series. The type is INT32 / INT64 / FLOAT / DOUBLE.</p><p><strong>Parameters:</strong></p><ul><li><code>p</code>: The order of the autoregressive model. Its default value is 1.</li></ul><p><strong>Output Series:</strong> Output a single series. The type is DOUBLE. The first line corresponds to the first order coefficient, and so on.</p><p><strong>Note:</strong></p><ul><li>Parameter <code>p</code> should be a positive integer.</li><li>Most points in the series should be sampled at a constant time interval.</li><li>Linear interpolation is applied for the missing points in the series.</li></ul><h3 id="examples" tabindex="-1"><a class="header-anchor" href="#examples" aria-hidden="true">#</a> Examples</h3><h4 id="assigning-model-order" tabindex="-1"><a class="header-anchor" href="#assigning-model-order" aria-hidden="true">#</a> Assigning Model Order</h4><p>Input Series:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-----------------------------+---------------+ |
| | Time|root.test.d0.s0| |
| +-----------------------------+---------------+ |
| |2020-01-01T00:00:01.000+08:00| -4.0| |
| |2020-01-01T00:00:02.000+08:00| -3.0| |
| |2020-01-01T00:00:03.000+08:00| -2.0| |
| |2020-01-01T00:00:04.000+08:00| -1.0| |
| |2020-01-01T00:00:05.000+08:00| 0.0| |
| |2020-01-01T00:00:06.000+08:00| 1.0| |
| |2020-01-01T00:00:07.000+08:00| 2.0| |
| |2020-01-01T00:00:08.000+08:00| 3.0| |
| |2020-01-01T00:00:09.000+08:00| 4.0| |
| +-----------------------------+---------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><p>SQL for query:</p><div class="language-sql line-numbers-mode" data-ext="sql"><pre class="language-sql"><code><span class="token keyword">select</span> ar<span class="token punctuation">(</span>s0<span class="token punctuation">,</span><span class="token string">"p"</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>d0 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>Output Series:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-----------------------------+---------------------------+ |
| | Time|ar(root.test.d0.s0,"p"="2")| |
| +-----------------------------+---------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 0.9429| |
| |1970-01-01T08:00:00.002+08:00| -0.2571| |
| +-----------------------------+---------------------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><h3 id="representation" tabindex="-1"><a class="header-anchor" href="#representation" aria-hidden="true">#</a> Representation</h3><h4 id="usage-1" tabindex="-1"><a class="header-anchor" href="#usage-1" aria-hidden="true">#</a> Usage</h4><p>This function is used to represent a time series.</p><p><strong>Name:</strong> Representation</p><p><strong>Input Series:</strong> Only support a single input numeric series. The type is INT32 / INT64 / FLOAT / DOUBLE.</p><p><strong>Parameters:</strong></p><ul><li><code>tb</code>: The number of timestamp blocks. Its default value is 10.</li><li><code>vb</code>: The number of value blocks. Its default value is 10.</li></ul><p><strong>Output Series:</strong> Output a single series. The type is INT32. The length is <code>tb*vb</code>. The timestamps starting from 0 only indicate the order.</p><p><strong>Note:</strong></p><ul><li>Parameters <code>tb</code> and <code>vb</code> should be positive integers.</li></ul><h4 id="examples-1" tabindex="-1"><a class="header-anchor" href="#examples-1" aria-hidden="true">#</a> Examples</h4><h5 id="assigning-window-size-and-dimension" tabindex="-1"><a class="header-anchor" href="#assigning-window-size-and-dimension" aria-hidden="true">#</a> Assigning Window Size and Dimension</h5><p>Input Series:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-----------------------------+---------------+ |
| | Time|root.test.d0.s0| |
| +-----------------------------+---------------+ |
| |2020-01-01T00:00:01.000+08:00| -4.0| |
| |2020-01-01T00:00:02.000+08:00| -3.0| |
| |2020-01-01T00:00:03.000+08:00| -2.0| |
| |2020-01-01T00:00:04.000+08:00| -1.0| |
| |2020-01-01T00:00:05.000+08:00| 0.0| |
| |2020-01-01T00:00:06.000+08:00| 1.0| |
| |2020-01-01T00:00:07.000+08:00| 2.0| |
| |2020-01-01T00:00:08.000+08:00| 3.0| |
| |2020-01-01T00:00:09.000+08:00| 4.0| |
| +-----------------------------+---------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><p>SQL for query:</p><div class="language-sql line-numbers-mode" data-ext="sql"><pre class="language-sql"><code><span class="token keyword">select</span> representation<span class="token punctuation">(</span>s0<span class="token punctuation">,</span><span class="token string">"tb"</span><span class="token operator">=</span><span class="token string">"3"</span><span class="token punctuation">,</span><span class="token string">"vb"</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>d0 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>Output Series:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-----------------------------+-------------------------------------------------+ |
| | Time|representation(root.test.d0.s0,"tb"="3","vb"="2")| |
| +-----------------------------+-------------------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 1| |
| |1970-01-01T08:00:00.002+08:00| 1| |
| |1970-01-01T08:00:00.003+08:00| 0| |
| |1970-01-01T08:00:00.004+08:00| 0| |
| |1970-01-01T08:00:00.005+08:00| 1| |
| |1970-01-01T08:00:00.006+08:00| 1| |
| +-----------------------------+-------------------------------------------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><h3 id="rm" tabindex="-1"><a class="header-anchor" href="#rm" aria-hidden="true">#</a> RM</h3><h4 id="usage-2" tabindex="-1"><a class="header-anchor" href="#usage-2" aria-hidden="true">#</a> Usage</h4><p>This function is used to calculate the matching score of two time series according to the representation.</p><p><strong>Name:</strong> RM</p><p><strong>Input Series:</strong> Only support two input numeric series. The type is INT32 / INT64 / FLOAT / DOUBLE.</p><p><strong>Parameters:</strong></p><ul><li><code>tb</code>: The number of timestamp blocks. Its default value is 10.</li><li><code>vb</code>: The number of value blocks. Its default value is 10.</li></ul><p><strong>Output Series:</strong> Output a single series. The type is DOUBLE. There is only one data point in the series, whose timestamp is 0 and value is the matching score.</p><p><strong>Note:</strong></p><ul><li>Parameters <code>tb</code> and <code>vb</code> should be positive integers.</li></ul><h4 id="examples-2" tabindex="-1"><a class="header-anchor" href="#examples-2" aria-hidden="true">#</a> Examples</h4><h5 id="assigning-window-size-and-dimension-1" tabindex="-1"><a class="header-anchor" href="#assigning-window-size-and-dimension-1" aria-hidden="true">#</a> Assigning Window Size and Dimension</h5><p>Input Series:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-----------------------------+---------------+---------------+ |
| | Time|root.test.d0.s0|root.test.d0.s1 |
| +-----------------------------+---------------+---------------+ |
| |2020-01-01T00:00:01.000+08:00| -4.0| -4.0| |
| |2020-01-01T00:00:02.000+08:00| -3.0| -3.0| |
| |2020-01-01T00:00:03.000+08:00| -3.0| -3.0| |
| |2020-01-01T00:00:04.000+08:00| -1.0| -1.0| |
| |2020-01-01T00:00:05.000+08:00| 0.0| 0.0| |
| |2020-01-01T00:00:06.000+08:00| 1.0| 1.0| |
| |2020-01-01T00:00:07.000+08:00| 2.0| 2.0| |
| |2020-01-01T00:00:08.000+08:00| 3.0| 3.0| |
| |2020-01-01T00:00:09.000+08:00| 4.0| 4.0| |
| +-----------------------------+---------------+---------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><p>SQL for query:</p><div class="language-sql line-numbers-mode" data-ext="sql"><pre class="language-sql"><code><span class="token keyword">select</span> rm<span class="token punctuation">(</span>s0<span class="token punctuation">,</span> s1<span class="token punctuation">,</span><span class="token string">"tb"</span><span class="token operator">=</span><span class="token string">"3"</span><span class="token punctuation">,</span><span class="token string">"vb"</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>d0 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>Output Series:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-----------------------------+-----------------------------------------------------+ |
| | Time|rm(root.test.d0.s0,root.test.d0.s1,"tb"="3","vb"="2")| |
| +-----------------------------+-----------------------------------------------------+ |
| |1970-01-01T08:00:00.001+08:00| 1.00| |
| +-----------------------------+-----------------------------------------------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div></div><!----><footer class="page-meta"><div class="meta-item edit-link"><a href="https://github.com/apache/iotdb/edit/rel/1.2/docs/UserGuide/Operators-Functions/Machine-Learning.md" rel="noopener noreferrer" target="_blank" aria-label="Found Error? Edit this page on GitHub" class="nav-link label"><!--[--><svg xmlns="http://www.w3.org/2000/svg" class="icon edit-icon" viewBox="0 0 1024 1024" fill="currentColor" aria-label="edit icon"><path d="M430.818 653.65a60.46 60.46 0 0 1-50.96-93.281l71.69-114.012 7.773-10.365L816.038 80.138A60.46 60.46 0 0 1 859.225 62a60.46 60.46 0 0 1 43.186 18.138l43.186 43.186a60.46 60.46 0 0 1 0 86.373L588.879 565.55l-8.637 8.637-117.466 68.234a60.46 60.46 0 0 1-31.958 11.229z"></path><path d="M728.802 962H252.891A190.883 190.883 0 0 1 62.008 771.98V296.934a190.883 190.883 0 0 1 190.883-192.61h267.754a60.46 60.46 0 0 1 0 120.92H252.891a69.962 69.962 0 0 0-69.098 69.099V771.98a69.962 69.962 0 0 0 69.098 69.098h475.911A69.962 69.962 0 0 0 797.9 771.98V503.363a60.46 60.46 0 1 1 120.922 0V771.98A190.883 190.883 0 0 1 728.802 962z"></path></svg><!--]-->Found Error? Edit this page on GitHub<span><svg class="external-link-icon" 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"><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="external-link-icon-sr-only">open in new window</span></span><!----></a></div><div class="meta-item git-info"><!----><!----></div></footer><nav class="page-nav"><a href="/UserGuide/V1.2.x/Operators-Functions/Series-Discovery.html" class="nav-link prev" aria-label="Series Discovery"><div class="hint"><span class="arrow start"></span>Prev</div><div class="link"><!---->Series Discovery</div></a><!----></nav><!----><!----><!--]--></main><!--]--><footer style="padding-bottom:2rem;"><span id="doc-version" style="display:none;">rel/1.2</span><p style="text-align:center;color:#909399;font-size:12px;margin:0 30px;">Copyright © 2023 The Apache Software Foundation.<br> Apache and the Apache feather logo are trademarks of The Apache Software Foundation</p><p style="text-align:center;margin-top:10px;color:#909399;font-size:12px;margin:0 30px;"><strong>Have a question?</strong> Connect with us on QQ, WeChat, or Slack. <a href="https://github.com/apache/iotdb/issues/1995">Join the community</a> now.</p><p style="text-align:center;margin-top:10px;color:#909399;font-size:12px;margin:0 30px;"> We use <a href="https://analytics.google.com">Google Analytics</a> to collect anonymous, aggregated usage information. </p></footer></div><!--]--><!--]--><!----><!--]--></div> |
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