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href="/zh/UserGuide/V1.2.x/Operate-Metadata/Timeseries.html#创建时间序列" class="router-link-active router-link-exact-active toc-link level3">创建时间序列</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.2.x/Operate-Metadata/Timeseries.html#创建对齐时间序列" class="router-link-active router-link-exact-active toc-link level3">创建对齐时间序列</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.2.x/Operate-Metadata/Timeseries.html#删除时间序列" class="router-link-active router-link-exact-active toc-link level3">删除时间序列</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.2.x/Operate-Metadata/Timeseries.html#查看时间序列" class="router-link-active router-link-exact-active toc-link level3">查看时间序列</a></li><!----><!--]--><!--[--><li class="toc-item"><a aria-current="page" href="/zh/UserGuide/V1.2.x/Operate-Metadata/Timeseries.html#统计时间序列总数" class="router-link-active router-link-exact-active 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| --><h2 id="时间序列管理" tabindex="-1"><a class="header-anchor" href="#时间序列管理" aria-hidden="true">#</a> 时间序列管理</h2><h3 id="创建时间序列" tabindex="-1"><a class="header-anchor" href="#创建时间序列" aria-hidden="true">#</a> 创建时间序列</h3><p>根据建立的数据模型，我们可以分别在两个存储组中创建相应的时间序列。创建时间序列的 SQL 语句如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB > create timeseries root.ln.wf01.wt01.status with datatype=BOOLEAN,encoding=PLAIN |
| IoTDB > create timeseries root.ln.wf01.wt01.temperature with datatype=FLOAT,encoding=RLE |
| IoTDB > create timeseries root.ln.wf02.wt02.hardware with datatype=TEXT,encoding=PLAIN |
| IoTDB > create timeseries root.ln.wf02.wt02.status with datatype=BOOLEAN,encoding=PLAIN |
| IoTDB > create timeseries root.sgcc.wf03.wt01.status with datatype=BOOLEAN,encoding=PLAIN |
| IoTDB > create timeseries root.sgcc.wf03.wt01.temperature with datatype=FLOAT,encoding=RLE |
| </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><p>从 v0.13 起，可以使用简化版的 SQL 语句创建时间序列：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB > create timeseries root.ln.wf01.wt01.status BOOLEAN encoding=PLAIN |
| IoTDB > create timeseries root.ln.wf01.wt01.temperature FLOAT encoding=RLE |
| IoTDB > create timeseries root.ln.wf02.wt02.hardware TEXT encoding=PLAIN |
| IoTDB > create timeseries root.ln.wf02.wt02.status BOOLEAN encoding=PLAIN |
| IoTDB > create timeseries root.sgcc.wf03.wt01.status BOOLEAN encoding=PLAIN |
| IoTDB > create timeseries root.sgcc.wf03.wt01.temperature FLOAT encoding=RLE |
| </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><p>需要注意的是，当创建时间序列时指定的编码方式与数据类型不对应时，系统会给出相应的错误提示，如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> create timeseries root.ln.wf02.wt02.status WITH DATATYPE=BOOLEAN, ENCODING=TS_2DIFF |
| error: encoding TS_2DIFF does not support BOOLEAN |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div><p>详细的数据类型与编码方式的对应列表请参见 <a href="/zh/UserGuide/V1.2.x/Data-Concept/Encoding.html" class="">编码方式</a>。</p><h3 id="创建对齐时间序列" tabindex="-1"><a class="header-anchor" href="#创建对齐时间序列" aria-hidden="true">#</a> 创建对齐时间序列</h3><p>创建一组对齐时间序列的SQL语句如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> CREATE ALIGNED TIMESERIES root.ln.wf01.GPS(latitude FLOAT encoding=PLAIN compressor=SNAPPY, longitude FLOAT encoding=PLAIN compressor=SNAPPY) |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>一组对齐序列中的序列可以有不同的数据类型、编码方式以及压缩方式。</p><p>对齐的时间序列也支持设置别名、标签、属性。</p><h3 id="删除时间序列" tabindex="-1"><a class="header-anchor" href="#删除时间序列" aria-hidden="true">#</a> 删除时间序列</h3><p>我们可以使用<code>(DELETE | DROP) TimeSeries <PathPattern></code>语句来删除我们之前创建的时间序列。SQL 语句如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> delete timeseries root.ln.wf01.wt01.status |
| IoTDB> delete timeseries root.ln.wf01.wt01.temperature, root.ln.wf02.wt02.hardware |
| IoTDB> delete timeseries root.ln.wf02.* |
| IoTDB> drop timeseries root.ln.wf02.* |
| </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></div><h3 id="查看时间序列" tabindex="-1"><a class="header-anchor" href="#查看时间序列" aria-hidden="true">#</a> 查看时间序列</h3><ul><li><p>SHOW LATEST? TIMESERIES pathPattern? timeseriesWhereClause? limitClause?</p><p>SHOW TIMESERIES 中可以有四种可选的子句，查询结果为这些时间序列的所有信息</p></li></ul><p>时间序列信息具体包括：时间序列路径名，database，Measurement 别名，数据类型，编码方式，压缩方式，属性和标签。</p><p>示例：</p><ul><li><p>SHOW TIMESERIES</p><p>展示系统中所有的时间序列信息</p></li><li><p>SHOW TIMESERIES <<code>Path</code>></p><p>返回给定路径的下的所有时间序列信息。其中 <code>Path</code> 需要为一个时间序列路径或路径模式。例如，分别查看<code>root</code>路径和<code>root.ln</code>路径下的时间序列，SQL 语句如下所示：</p></li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> show timeseries root.** |
| IoTDB> show timeseries root.ln.** |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div><p>执行结果分别为：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| | timeseries| alias| database|dataType|encoding|compression| tags| attributes|deadband|deadband parameters| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| |root.sgcc.wf03.wt01.temperature| null| root.sgcc| FLOAT| RLE| SNAPPY| null| null| null| null| |
| | root.sgcc.wf03.wt01.status| null| root.sgcc| BOOLEAN| PLAIN| SNAPPY| null| null| null| null| |
| | root.turbine.d1.s1|newAlias| root.turbine| FLOAT| RLE| SNAPPY|{"newTag1":"newV1","tag4":"v4","tag3":"v3"}|{"attr2":"v2","attr1":"newV1","attr4":"v4","attr3":"v3"}| null| null| |
| | root.ln.wf02.wt02.hardware| null| root.ln| TEXT| PLAIN| SNAPPY| null| null| null| null| |
| | root.ln.wf02.wt02.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY| null| null| null| null| |
| | root.ln.wf01.wt01.temperature| null| root.ln| FLOAT| RLE| SNAPPY| null| null| null| null| |
| | root.ln.wf01.wt01.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY| null| null| null| null| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| Total line number = 7 |
| It costs 0.016s |
| |
| +-----------------------------+-----+-------------+--------+--------+-----------+----+----------+--------+-------------------+ |
| | timeseries|alias| database|dataType|encoding|compression|tags|attributes|deadband|deadband parameters| |
| +-----------------------------+-----+-------------+--------+--------+-----------+----+----------+--------+-------------------+ |
| | root.ln.wf02.wt02.hardware| null| root.ln| TEXT| PLAIN| SNAPPY|null| null| null| null| |
| | root.ln.wf02.wt02.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY|null| null| null| null| |
| |root.ln.wf01.wt01.temperature| null| root.ln| FLOAT| RLE| SNAPPY|null| null| null| null| |
| | root.ln.wf01.wt01.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY|null| null| null| null| |
| +-----------------------------+-----+-------------+--------+--------+-----------+----+----------+--------+-------------------+ |
| Total line number = 4 |
| It costs 0.004s |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div 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><ul><li><p>SHOW TIMESERIES LIMIT INT OFFSET INT</p><p>只返回从指定下标开始的结果，最大返回条数被 LIMIT 限制，用于分页查询。例如：</p></li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>show timeseries root.ln.** limit 10 offset 10 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li><p>SHOW TIMESERIES WHERE TIMESERIES contains 'containStr'</p><p>对查询结果集根据 timeseries 名称进行字符串模糊匹配过滤。例如：</p></li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>show timeseries root.ln.** where timeseries contains 'wf01.wt' |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果为：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| | timeseries| alias| database|dataType|encoding|compression| tags| attributes|deadband|deadband parameters| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| | root.ln.wf01.wt01.temperature| null| root.ln| FLOAT| RLE| SNAPPY| null| null| null| null| |
| | root.ln.wf01.wt01.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY| null| null| null| null| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| Total line number = 2 |
| It costs 0.016s |
| </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></div><ul><li><p>SHOW TIMESERIES WHERE DataType=type</p><p>对查询结果集根据时间序列数据类型进行过滤。例如：</p></li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>show timeseries root.ln.** where dataType=FLOAT |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果为:</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| | timeseries| alias| database|dataType|encoding|compression| tags| attributes|deadband|deadband parameters| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| |root.sgcc.wf03.wt01.temperature| null| root.sgcc| FLOAT| RLE| SNAPPY| null| null| null| null| |
| | root.turbine.d1.s1|newAlias| root.turbine| FLOAT| RLE| SNAPPY|{"newTag1":"newV1","tag4":"v4","tag3":"v3"}|{"attr2":"v2","attr1":"newV1","attr4":"v4","attr3":"v3"}| null| null| |
| | root.ln.wf01.wt01.temperature| null| root.ln| FLOAT| RLE| SNAPPY| null| null| null| null| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| Total line number = 3 |
| It costs 0.016s |
| |
| </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><ul><li><p>SHOW LATEST TIMESERIES</p><p>表示查询出的时间序列需要按照最近插入时间戳降序排列</p></li></ul><p>需要注意的是，当查询路径不存在时，系统会返回 0 条时间序列。</p><h3 id="统计时间序列总数" tabindex="-1"><a class="header-anchor" href="#统计时间序列总数" aria-hidden="true">#</a> 统计时间序列总数</h3><p>IoTDB 支持使用<code>COUNT TIMESERIES<Path></code>来统计一条路径中的时间序列个数。SQL 语句如下所示：</p><ul><li>可以通过 <code>WHERE</code> 条件对时间序列名称进行字符串模糊匹配，语法为： <code>COUNT TIMESERIES <Path> WHERE TIMESERIES contains 'containStr'</code> 。</li><li>可以通过 <code>WHERE</code> 条件对时间序列数据类型进行过滤，语法为： <code>COUNT TIMESERIES <Path> WHERE DataType=<DataType>'</code>。</li><li>可以通过 <code>WHERE</code> 条件对标签点进行过滤，语法为： <code>COUNT TIMESERIES <Path> WHERE TAGS(key)='value'</code> 或 <code>COUNT TIMESERIES <Path> WHERE TAGS(key) contains 'value'</code>。</li><li>可以通过定义<code>LEVEL</code>来统计指定层级下的时间序列个数。这条语句可以用来统计每一个设备下的传感器数量，语法为：<code>COUNT TIMESERIES <Path> GROUP BY LEVEL=<INTEGER></code>。</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB > COUNT TIMESERIES root.** |
| IoTDB > COUNT TIMESERIES root.ln.** |
| IoTDB > COUNT TIMESERIES root.ln.*.*.status |
| IoTDB > COUNT TIMESERIES root.ln.wf01.wt01.status |
| IoTDB > COUNT TIMESERIES root.** WHERE TIMESERIES contains 'sgcc' |
| IoTDB > COUNT TIMESERIES root.** WHERE DATATYPE = INT64 |
| IoTDB > COUNT TIMESERIES root.** WHERE TAGS(unit) contains 'c' |
| IoTDB > COUNT TIMESERIES root.** WHERE TAGS(unit) = 'c' |
| IoTDB > COUNT TIMESERIES root.** WHERE TIMESERIES contains 'sgcc' group by level = 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></div><p>例如有如下时间序列（可以使用<code>show timeseries</code>展示所有时间序列）：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| | timeseries| alias| database|dataType|encoding|compression| tags| attributes|deadband|deadband parameters| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| |root.sgcc.wf03.wt01.temperature| null| root.sgcc| FLOAT| RLE| SNAPPY| null| null| null| null| |
| | root.sgcc.wf03.wt01.status| null| root.sgcc| BOOLEAN| PLAIN| SNAPPY| null| null| null| null| |
| | root.turbine.d1.s1|newAlias| root.turbine| FLOAT| RLE| SNAPPY|{"newTag1":"newV1","tag4":"v4","tag3":"v3"}|{"attr2":"v2","attr1":"newV1","attr4":"v4","attr3":"v3"}| null| null| |
| | root.ln.wf02.wt02.hardware| null| root.ln| TEXT| PLAIN| SNAPPY| {"unit":"c"}| null| null| null| |
| | root.ln.wf02.wt02.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY| {"description":"test1"}| null| null| null| |
| | root.ln.wf01.wt01.temperature| null| root.ln| FLOAT| RLE| SNAPPY| null| null| null| null| |
| | root.ln.wf01.wt01.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY| null| null| null| null| |
| +-------------------------------+--------+-------------+--------+--------+-----------+-------------------------------------------+--------------------------------------------------------+--------+-------------------+ |
| Total line number = 7 |
| It costs 0.004s |
| </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>那么 Metadata Tree 如下所示：</p><img style="width:100%;max-width:600px;margin-left:auto;margin-right:auto;display:block;" src="https://alioss.timecho.com/docs/img/github/69792176-1718f400-1201-11ea-861a-1a83c07ca144.jpg"><p>可以看到，<code>root</code>被定义为<code>LEVEL=0</code>。那么当你输入如下语句时：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB > COUNT TIMESERIES root.** GROUP BY LEVEL=1 |
| IoTDB > COUNT TIMESERIES root.ln.** GROUP BY LEVEL=2 |
| IoTDB > COUNT TIMESERIES root.ln.wf01.* GROUP BY LEVEL=2 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><p>你将得到以下结果：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> COUNT TIMESERIES root.** GROUP BY LEVEL=1 |
| +------------+-----------------+ |
| | column|count(timeseries)| |
| +------------+-----------------+ |
| | root.sgcc| 2| |
| |root.turbine| 1| |
| | root.ln| 4| |
| +------------+-----------------+ |
| Total line number = 3 |
| It costs 0.002s |
| |
| IoTDB > COUNT TIMESERIES root.ln.** GROUP BY LEVEL=2 |
| +------------+-----------------+ |
| | column|count(timeseries)| |
| +------------+-----------------+ |
| |root.ln.wf02| 2| |
| |root.ln.wf01| 2| |
| +------------+-----------------+ |
| Total line number = 2 |
| It costs 0.002s |
| |
| IoTDB > COUNT TIMESERIES root.ln.wf01.* GROUP BY LEVEL=2 |
| +------------+-----------------+ |
| | column|count(timeseries)| |
| +------------+-----------------+ |
| |root.ln.wf01| 2| |
| +------------+-----------------+ |
| Total line number = 1 |
| It costs 0.002s |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><blockquote><p>注意：时间序列的路径只是过滤条件，与 level 的定义无关。</p></blockquote><h3 id="标签点管理" tabindex="-1"><a class="header-anchor" href="#标签点管理" aria-hidden="true">#</a> 标签点管理</h3><p>我们可以在创建时间序列的时候，为它添加别名和额外的标签和属性信息。</p><p>标签和属性的区别在于：</p><ul><li>标签可以用来查询时间序列路径，会在内存中维护标点到时间序列路径的倒排索引：标签 -> 时间序列路径</li><li>属性只能用时间序列路径来查询：时间序列路径 -> 属性</li></ul><p>所用到的扩展的创建时间序列的 SQL 语句如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>create timeseries root.turbine.d1.s1(temprature) with datatype=FLOAT, encoding=RLE, compression=SNAPPY tags(tag1=v1, tag2=v2) attributes(attr1=v1, attr2=v2) |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>括号里的<code>temprature</code>是<code>s1</code>这个传感器的别名。 我们可以在任何用到<code>s1</code>的地方，将其用<code>temprature</code>代替，这两者是等价的。</p><blockquote><p>IoTDB 同时支持在查询语句中 <a href="/zh/UserGuide/V1.2.x/Reference/SQL-Reference.html#%E6%95%B0%E6%8D%AE%E7%AE%A1%E7%90%86%E8%AF%AD%E5%8F%A5" class="">使用 AS 函数</a> 设置别名。二者的区别在于：AS 函数设置的别名用于替代整条时间序列名，且是临时的，不与时间序列绑定；而上文中的别名只作为传感器的别名，与其绑定且可与原传感器名等价使用。</p></blockquote><blockquote><p>注意：额外的标签和属性信息总的大小不能超过<code>tag_attribute_total_size</code>.</p></blockquote><ul><li>标签点属性更新 创建时间序列后，我们也可以对其原有的标签点属性进行更新，主要有以下六种更新方式：</li><li>重命名标签或属性</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.turbine.d1.s1 RENAME tag1 TO newTag1 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>重新设置标签或属性的值</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.turbine.d1.s1 SET newTag1=newV1, attr1=newV1 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>删除已经存在的标签或属性</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.turbine.d1.s1 DROP tag1, tag2 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>添加新的标签</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.turbine.d1.s1 ADD TAGS tag3=v3, tag4=v4 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>添加新的属性</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.turbine.d1.s1 ADD ATTRIBUTES attr3=v3, attr4=v4 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>更新插入别名，标签和属性</li></ul><blockquote><p>如果该别名，标签或属性原来不存在，则插入，否则，用新值更新原来的旧值</p></blockquote><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.turbine.d1.s1 UPSERT ALIAS=newAlias TAGS(tag2=newV2, tag3=v3) ATTRIBUTES(attr3=v3, attr4=v4) |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>使用标签作为过滤条件查询时间序列，使用 TAGS(tagKey) 来标识作为过滤条件的标签</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>SHOW TIMESERIES (<`PathPattern`>)? timeseriesWhereClause |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>返回给定路径的下的所有满足条件的时间序列信息，SQL 语句如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>ALTER timeseries root.ln.wf02.wt02.hardware ADD TAGS unit=c |
| ALTER timeseries root.ln.wf02.wt02.status ADD TAGS description=test1 |
| show timeseries root.ln.** where TAGS(unit)='c' |
| show timeseries root.ln.** where TAGS(description) contains 'test1' |
| </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></div><p>执行结果分别为：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>+--------------------------+-----+-------------+--------+--------+-----------+------------+----------+--------+-------------------+ |
| | timeseries|alias| database|dataType|encoding|compression| tags|attributes|deadband|deadband parameters| |
| +--------------------------+-----+-------------+--------+--------+-----------+------------+----------+--------+-------------------+ |
| |root.ln.wf02.wt02.hardware| null| root.ln| TEXT| PLAIN| SNAPPY|{"unit":"c"}| null| null| null| |
| +--------------------------+-----+-------------+--------+--------+-----------+------------+----------+--------+-------------------+ |
| Total line number = 1 |
| It costs 0.005s |
| |
| +------------------------+-----+-------------+--------+--------+-----------+-----------------------+----------+--------+-------------------+ |
| | timeseries|alias| database|dataType|encoding|compression| tags|attributes|deadband|deadband parameters| |
| +------------------------+-----+-------------+--------+--------+-----------+-----------------------+----------+--------+-------------------+ |
| |root.ln.wf02.wt02.status| null| root.ln| BOOLEAN| PLAIN| SNAPPY|{"description":"test1"}| null| null| null| |
| +------------------------+-----+-------------+--------+--------+-----------+-----------------------+----------+--------+-------------------+ |
| Total line number = 1 |
| It costs 0.004s |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><ul><li>使用标签作为过滤条件统计时间序列数量</li></ul><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>COUNT TIMESERIES (<`PathPattern`>)? timeseriesWhereClause |
| COUNT TIMESERIES (<`PathPattern`>)? timeseriesWhereClause GROUP BY LEVEL=<INTEGER> |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div><p>返回给定路径的下的所有满足条件的时间序列的数量，SQL 语句如下所示：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>count timeseries |
| count timeseries root.** where TAGS(unit)='c' |
| count timeseries root.** where TAGS(unit)='c' group by level = 2 |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><p>执行结果分别为：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> count timeseries |
| +-----------------+ |
| |count(timeseries)| |
| +-----------------+ |
| | 6| |
| +-----------------+ |
| Total line number = 1 |
| It costs 0.019s |
| IoTDB> count timeseries root.** where TAGS(unit)='c' |
| +-----------------+ |
| |count(timeseries)| |
| +-----------------+ |
| | 2| |
| +-----------------+ |
| Total line number = 1 |
| It costs 0.020s |
| IoTDB> count timeseries root.** where TAGS(unit)='c' group by level = 2 |
| +--------------+-----------------+ |
| | column|count(timeseries)| |
| +--------------+-----------------+ |
| | root.ln.wf02| 2| |
| | root.ln.wf01| 0| |
| |root.sgcc.wf03| 0| |
| +--------------+-----------------+ |
| Total line number = 3 |
| It costs 0.011s |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div 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><blockquote><p>注意，现在我们只支持一个查询条件，要么是等值条件查询，要么是包含条件查询。当然 where 子句中涉及的必须是标签值，而不能是属性值。</p></blockquote><p>创建对齐时间序列</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>create aligned timeseries root.sg1.d1(s1 INT32 tags(tag1=v1, tag2=v2) attributes(attr1=v1, attr2=v2), s2 DOUBLE tags(tag3=v3, tag4=v4) attributes(attr3=v3, attr4=v4)) |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>执行结果如下：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> show timeseries |
| +--------------+-----+-------------+--------+--------+-----------+-------------------------+---------------------------+--------+-------------------+ |
| | timeseries|alias| database|dataType|encoding|compression| tags| attributes|deadband|deadband parameters| |
| +--------------+-----+-------------+--------+--------+-----------+-------------------------+---------------------------+--------+-------------------+ |
| |root.sg1.d1.s1| null| root.sg1| INT32| RLE| SNAPPY|{"tag1":"v1","tag2":"v2"}|{"attr2":"v2","attr1":"v1"}| null| null| |
| |root.sg1.d1.s2| null| root.sg1| DOUBLE| GORILLA| SNAPPY|{"tag4":"v4","tag3":"v3"}|{"attr4":"v4","attr3":"v3"}| null| null| |
| +--------------+-----+-------------+--------+--------+-----------+-------------------------+---------------------------+--------+-------------------+ |
| </code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div><div class="line-number"></div></div></div><p>支持查询：</p><div class="language-text line-numbers-mode" data-ext="text"><pre class="language-text"><code>IoTDB> show timeseries where TAGS(tag1)='v1' |
| +--------------+-----+-------------+--------+--------+-----------+-------------------------+---------------------------+--------+-------------------+ |
| | timeseries|alias| database|dataType|encoding|compression| tags| attributes|deadband|deadband parameters| |
| +--------------+-----+-------------+--------+--------+-----------+-------------------------+---------------------------+--------+-------------------+ |
| |root.sg1.d1.s1| null| root.sg1| INT32| RLE| SNAPPY|{"tag1":"v1","tag2":"v2"}|{"attr2":"v2","attr1":"v1"}| null| null| |
| +--------------+-----+-------------+--------+--------+-----------+-------------------------+---------------------------+--------+-------------------+ |
| </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><p>上述对时间序列标签、属性的更新等操作都支持。</p></div><!----><footer class="page-meta"><div class="meta-item edit-link"><a href="https://github.com/apache/iotdb/edit/rel/1.2/docs/zh/UserGuide/Operate-Metadata/Timeseries.md" rel="noopener noreferrer" target="_blank" aria-label="发现错误？在 GitHub 上编辑此页" 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><!--]-->发现错误？在 GitHub 上编辑此页<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="/zh/UserGuide/V1.2.x/Operate-Metadata/Node.html" class="nav-link prev" aria-label="节点操作"><div class="hint"><span class="arrow start"></span>上一页</div><div class="link"><!---->节点操作</div></a><a href="/zh/UserGuide/V1.2.x/Operate-Metadata/Template.html" class="nav-link next" aria-label="元数据模板"><div class="hint">下一页<span class="arrow end"></span></div><div class="link">元数据模板<!----></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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