import{_ as p,r as o,o as i,c as l,b as s,d as n,a as t,e}from"./app-DcCkCeWd.js";const c={},u=e('<h2 id="python-原生接口" tabindex="-1"><a class="header-anchor" href="#python-原生接口"><span>Python 原生接口</span></a></h2><h3 id="依赖" tabindex="-1"><a class="header-anchor" href="#依赖"><span>依赖</span></a></h3><p>在使用 Python 原生接口包前，您需要安装 thrift (&gt;=0.13) 依赖。</p><h3 id="如何使用-示例" tabindex="-1"><a class="header-anchor" href="#如何使用-示例"><span>如何使用 （示例）</span></a></h3><p>首先下载最新安装包：<code>pip3 install apache-iotdb</code></p><p><em>注意：如果您想要安装 0.13.0 版本的 Python API，不要使用 <code>pip install apache-iotdb==0.13.0</code>，请使用 <code>pip install apache-iotdb==0.13.0.post1</code> 作为替代！</em></p>',6),r={href:"https://github.com/apache/iotdb/blob/master/client-py/SessionExample.py",target:"_blank",rel:"noopener noreferrer"},d={href:"https://github.com/apache/iotdb/blob/master/client-py/SessionAlignedTimeseriesExample.py",target:"_blank",rel:"noopener noreferrer"},k=e(`<p>（您需要在文件的头部添加<code>import iotdb</code>）</p><p>或者：</p><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code><span class="token keyword">from</span> iotdb<span class="token punctuation">.</span>Session <span class="token keyword">import</span> Session

ip <span class="token operator">=</span> <span class="token string">&quot;127.0.0.1&quot;</span>
port_ <span class="token operator">=</span> <span class="token string">&quot;6667&quot;</span>
username_ <span class="token operator">=</span> <span class="token string">&quot;root&quot;</span>
password_ <span class="token operator">=</span> <span class="token string">&quot;root&quot;</span>
session <span class="token operator">=</span> Session<span class="token punctuation">(</span>ip<span class="token punctuation">,</span> port_<span class="token punctuation">,</span> username_<span class="token punctuation">,</span> password_<span class="token punctuation">)</span>
session<span class="token punctuation">.</span><span class="token builtin">open</span><span class="token punctuation">(</span><span class="token boolean">False</span><span class="token punctuation">)</span>
zone <span class="token operator">=</span> session<span class="token punctuation">.</span>get_time_zone<span class="token punctuation">(</span><span class="token punctuation">)</span>
session<span class="token punctuation">.</span>close<span class="token punctuation">(</span><span class="token punctuation">)</span>
</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="基本接口说明" tabindex="-1"><a class="header-anchor" href="#基本接口说明"><span>基本接口说明</span></a></h3><p>下面将给出 Session 对应的接口的简要介绍和对应参数：</p><h4 id="初始化" tabindex="-1"><a class="header-anchor" href="#初始化"><span>初始化</span></a></h4><ul><li>初始化 Session</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session <span class="token operator">=</span> Session<span class="token punctuation">(</span>
    ip<span class="token operator">=</span><span class="token string">&quot;127.0.0.1&quot;</span><span class="token punctuation">,</span>
    port<span class="token operator">=</span><span class="token string">&quot;6667&quot;</span><span class="token punctuation">,</span>
    user<span class="token operator">=</span><span class="token string">&quot;root&quot;</span><span class="token punctuation">,</span>
    password<span class="token operator">=</span><span class="token string">&quot;root&quot;</span><span class="token punctuation">,</span>
    fetch_size<span class="token operator">=</span><span class="token number">1024</span><span class="token punctuation">,</span>
    zone_id<span class="token operator">=</span><span class="token string">&quot;UTC+8&quot;</span>
<span class="token punctuation">)</span>
</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>初始化可连接多节点的 Session</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session <span class="token operator">=</span> Session<span class="token punctuation">.</span>init_from_node_urls<span class="token punctuation">(</span>
    node_urls<span class="token operator">=</span><span class="token punctuation">[</span><span class="token string">&quot;127.0.0.1:6667&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;127.0.0.1:6668&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;127.0.0.1:6669&quot;</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    user<span class="token operator">=</span><span class="token string">&quot;root&quot;</span><span class="token punctuation">,</span>
    password<span class="token operator">=</span><span class="token string">&quot;root&quot;</span><span class="token punctuation">,</span>
    fetch_size<span class="token operator">=</span><span class="token number">1024</span><span class="token punctuation">,</span>
    zone_id<span class="token operator">=</span><span class="token string">&quot;UTC+8&quot;</span>
<span class="token punctuation">)</span>
</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><ul><li>开启 Session，并决定是否开启 RPC 压缩</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span><span class="token builtin">open</span><span class="token punctuation">(</span>enable_rpc_compression<span class="token operator">=</span><span class="token boolean">False</span><span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>注意: 客户端的 RPC 压缩开启状态需和服务端一致</p><ul><li>关闭 Session</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>close<span class="token punctuation">(</span><span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><h4 id="数据定义接口-ddl" tabindex="-1"><a class="header-anchor" href="#数据定义接口-ddl"><span>数据定义接口 DDL</span></a></h4><h5 id="存储组管理" tabindex="-1"><a class="header-anchor" href="#存储组管理"><span>存储组管理</span></a></h5><ul><li>设置存储组</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>set_storage_group<span class="token punctuation">(</span>group_name<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>删除单个或多个存储组</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>delete_storage_group<span class="token punctuation">(</span>group_name<span class="token punctuation">)</span>
session<span class="token punctuation">.</span>delete_storage_groups<span class="token punctuation">(</span>group_name_lst<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div><div class="line-number"></div></div></div><h5 id="时间序列管理" tabindex="-1"><a class="header-anchor" href="#时间序列管理"><span>时间序列管理</span></a></h5><ul><li>创建单个或多个时间序列</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>create_time_series<span class="token punctuation">(</span>ts_path<span class="token punctuation">,</span> data_type<span class="token punctuation">,</span> encoding<span class="token punctuation">,</span> compressor<span class="token punctuation">,</span>
    props<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">,</span> tags<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">,</span> attributes<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">,</span> alias<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">)</span>
      
session<span class="token punctuation">.</span>create_multi_time_series<span class="token punctuation">(</span>
    ts_path_lst<span class="token punctuation">,</span> data_type_lst<span class="token punctuation">,</span> encoding_lst<span class="token punctuation">,</span> compressor_lst<span class="token punctuation">,</span>
    props_lst<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">,</span> tags_lst<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">,</span> attributes_lst<span class="token operator">=</span><span class="token boolean">None</span><span class="token punctuation">,</span> alias_lst<span class="token operator">=</span><span class="token boolean">None</span>
<span class="token punctuation">)</span>
</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><ul><li>创建对齐时间序列</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>create_aligned_time_series<span class="token punctuation">(</span>
    device_id<span class="token punctuation">,</span> measurements_lst<span class="token punctuation">,</span> data_type_lst<span class="token punctuation">,</span> encoding_lst<span class="token punctuation">,</span> compressor_lst
<span class="token punctuation">)</span>
</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>注意：目前<strong>暂不支持</strong>使用传感器别名。</p><ul><li>删除一个或多个时间序列</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>delete_time_series<span class="token punctuation">(</span>paths_list<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>检测时间序列是否存在</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>check_time_series_exists<span class="token punctuation">(</span>path<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><h4 id="数据操作接口-dml" tabindex="-1"><a class="header-anchor" href="#数据操作接口-dml"><span>数据操作接口 DML</span></a></h4><h5 id="数据写入" tabindex="-1"><a class="header-anchor" href="#数据写入"><span>数据写入</span></a></h5><p>推荐使用 insert_tablet 帮助提高写入效率</p><ul><li>插入一个 Tablet，Tablet 是一个设备若干行数据块，每一行的列都相同 <ul><li><strong>写入效率高</strong></li><li><strong>支持写入空值</strong> （0.13 版本起）</li></ul></li></ul><p>Python API 里目前有两种 Tablet 实现</p><ul><li>普通 Tablet</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>values_ <span class="token operator">=</span> <span class="token punctuation">[</span>
    <span class="token punctuation">[</span><span class="token boolean">False</span><span class="token punctuation">,</span> <span class="token number">10</span><span class="token punctuation">,</span> <span class="token number">11</span><span class="token punctuation">,</span> <span class="token number">1.1</span><span class="token punctuation">,</span> <span class="token number">10011.1</span><span class="token punctuation">,</span> <span class="token string">&quot;test01&quot;</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token punctuation">[</span><span class="token boolean">True</span><span class="token punctuation">,</span> <span class="token number">100</span><span class="token punctuation">,</span> <span class="token number">11111</span><span class="token punctuation">,</span> <span class="token number">1.25</span><span class="token punctuation">,</span> <span class="token number">101.0</span><span class="token punctuation">,</span> <span class="token string">&quot;test02&quot;</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token punctuation">[</span><span class="token boolean">False</span><span class="token punctuation">,</span> <span class="token number">100</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">188.1</span><span class="token punctuation">,</span> <span class="token number">688.25</span><span class="token punctuation">,</span> <span class="token string">&quot;test03&quot;</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
    <span class="token punctuation">[</span><span class="token boolean">True</span><span class="token punctuation">,</span> <span class="token number">0</span><span class="token punctuation">,</span> <span class="token number">0</span><span class="token punctuation">,</span> <span class="token number">0</span><span class="token punctuation">,</span> <span class="token number">6.25</span><span class="token punctuation">,</span> <span class="token string">&quot;test04&quot;</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
<span class="token punctuation">]</span>
timestamps_ <span class="token operator">=</span> <span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">,</span> <span class="token number">4</span><span class="token punctuation">]</span>
tablet_ <span class="token operator">=</span> Tablet<span class="token punctuation">(</span>
    device_id<span class="token punctuation">,</span> measurements_<span class="token punctuation">,</span> data_types_<span class="token punctuation">,</span> values_<span class="token punctuation">,</span> timestamps_
<span class="token punctuation">)</span>
session<span class="token punctuation">.</span>insert_tablet<span class="token punctuation">(</span>tablet_<span class="token punctuation">)</span>
</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></div><ul><li>Numpy Tablet</li></ul>`,39),m={href:"https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html",target:"_blank",rel:"noopener noreferrer"},v=s("br",null,null,-1),h=e(`<p><strong>注意</strong></p><ol><li>Tablet 中的每一列时间戳和值记录为一个 ndarray</li><li>Numpy Tablet 只支持大端类型数据，ndarray 构建时如果不指定数据类型会使用小端，因此推荐在构建 ndarray 时指定下面例子中类型使用大端。如果不指定，IoTDB Python客户端也会进行大小端转换，不影响使用正确性。</li></ol><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code><span class="token keyword">import</span> numpy <span class="token keyword">as</span> np
data_types_ <span class="token operator">=</span> <span class="token punctuation">[</span>
    TSDataType<span class="token punctuation">.</span>BOOLEAN<span class="token punctuation">,</span>
    TSDataType<span class="token punctuation">.</span>INT32<span class="token punctuation">,</span>
    TSDataType<span class="token punctuation">.</span>INT64<span class="token punctuation">,</span>
    TSDataType<span class="token punctuation">.</span>FLOAT<span class="token punctuation">,</span>
    TSDataType<span class="token punctuation">.</span>DOUBLE<span class="token punctuation">,</span>
    TSDataType<span class="token punctuation">.</span>TEXT<span class="token punctuation">,</span>
<span class="token punctuation">]</span>
np_values_ <span class="token operator">=</span> <span class="token punctuation">[</span>
    np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token boolean">False</span><span class="token punctuation">,</span> <span class="token boolean">True</span><span class="token punctuation">,</span> <span class="token boolean">False</span><span class="token punctuation">,</span> <span class="token boolean">True</span><span class="token punctuation">]</span><span class="token punctuation">,</span> TSDataType<span class="token punctuation">.</span>BOOLEAN<span class="token punctuation">.</span>np_dtype<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
    np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">10</span><span class="token punctuation">,</span> <span class="token number">100</span><span class="token punctuation">,</span> <span class="token number">100</span><span class="token punctuation">,</span> <span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span> TSDataType<span class="token punctuation">.</span>INT32<span class="token punctuation">.</span>np_dtype<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
    np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">11</span><span class="token punctuation">,</span> <span class="token number">11111</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span> TSDataType<span class="token punctuation">.</span>INT64<span class="token punctuation">.</span>np_dtype<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
    np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1.1</span><span class="token punctuation">,</span> <span class="token number">1.25</span><span class="token punctuation">,</span> <span class="token number">188.1</span><span class="token punctuation">,</span> <span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span> TSDataType<span class="token punctuation">.</span>FLOAT<span class="token punctuation">.</span>np_dtype<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
    np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">10011.1</span><span class="token punctuation">,</span> <span class="token number">101.0</span><span class="token punctuation">,</span> <span class="token number">688.25</span><span class="token punctuation">,</span> <span class="token number">6.25</span><span class="token punctuation">]</span><span class="token punctuation">,</span> TSDataType<span class="token punctuation">.</span>DOUBLE<span class="token punctuation">.</span>np_dtype<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
    np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token string">&quot;test01&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;test02&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;test03&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;test04&quot;</span><span class="token punctuation">]</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
<span class="token punctuation">]</span>
np_timestamps_ <span class="token operator">=</span> np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">,</span> <span class="token number">4</span><span class="token punctuation">]</span><span class="token punctuation">,</span> TSDataType<span class="token punctuation">.</span>INT64<span class="token punctuation">.</span>np_dtype<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span>
np_tablet_ <span class="token operator">=</span> NumpyTablet<span class="token punctuation">(</span>
  <span class="token string">&quot;root.sg_test_01.d_02&quot;</span><span class="token punctuation">,</span> measurements_<span class="token punctuation">,</span> data_types_<span class="token punctuation">,</span> np_values_<span class="token punctuation">,</span> np_timestamps_
<span class="token punctuation">)</span>
session<span class="token punctuation">.</span>insert_tablet<span class="token punctuation">(</span>np_tablet_<span class="token punctuation">)</span>
</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></div><ul><li>插入多个 Tablet</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>insert_tablets<span class="token punctuation">(</span>tablet_lst<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>插入一个 Record，一个 Record 是一个设备一个时间戳下多个测点的数据。</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>insert_record<span class="token punctuation">(</span>device_id<span class="token punctuation">,</span> timestamp<span class="token punctuation">,</span> measurements_<span class="token punctuation">,</span> data_types_<span class="token punctuation">,</span> values_<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>插入多个 Record</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>insert_records<span class="token punctuation">(</span>
    device_ids_<span class="token punctuation">,</span> time_list_<span class="token punctuation">,</span> measurements_list_<span class="token punctuation">,</span> data_type_list_<span class="token punctuation">,</span> values_list_
    <span class="token punctuation">)</span>
</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><ul><li>插入同属于一个 device 的多个 Record</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>insert_records_of_one_device<span class="token punctuation">(</span>device_id<span class="token punctuation">,</span> time_list<span class="token punctuation">,</span> measurements_list<span class="token punctuation">,</span> data_types_list<span class="token punctuation">,</span> values_list<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><h5 id="带有类型推断的写入" tabindex="-1"><a class="header-anchor" href="#带有类型推断的写入"><span>带有类型推断的写入</span></a></h5><p>当数据均是 String 类型时，我们可以使用如下接口，根据 value 的值进行类型推断。例如：value 为 &quot;true&quot; ，就可以自动推断为布尔类型。value 为 &quot;3.2&quot; ，就可以自动推断为数值类型。服务器需要做类型推断，可能会有额外耗时，速度较无需类型推断的写入慢</p><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>insert_str_record<span class="token punctuation">(</span>device_id<span class="token punctuation">,</span> timestamp<span class="token punctuation">,</span> measurements<span class="token punctuation">,</span> string_values<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><h5 id="对齐时间序列的写入" tabindex="-1"><a class="header-anchor" href="#对齐时间序列的写入"><span>对齐时间序列的写入</span></a></h5><p>对齐时间序列的写入使用 insert_aligned_xxx 接口，其余与上述接口类似：</p><ul><li>insert_aligned_record</li><li>insert_aligned_records</li><li>insert_aligned_records_of_one_device</li><li>insert_aligned_tablet</li><li>insert_aligned_tablets</li></ul><h4 id="iotdb-sql-接口" tabindex="-1"><a class="header-anchor" href="#iotdb-sql-接口"><span>IoTDB-SQL 接口</span></a></h4><ul><li>执行查询语句</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>execute_query_statement<span class="token punctuation">(</span>sql<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><ul><li>执行非查询语句</li></ul><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code>session<span class="token punctuation">.</span>execute_non_query_statement<span class="token punctuation">(</span>sql<span class="token punctuation">)</span>
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><h3 id="对-pandas-的支持" tabindex="-1"><a class="header-anchor" href="#对-pandas-的支持"><span>对 Pandas 的支持</span></a></h3>`,23),b={href:"https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html",target:"_blank",rel:"noopener noreferrer"},_=e(`<p>SessionDataSet 有一个方法<code>.todf()</code>，它的作用是消费 SessionDataSet 中的数据，并将数据转换为 pandas dataframe。</p><p>例子：</p><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code><span class="token keyword">from</span> iotdb<span class="token punctuation">.</span>Session <span class="token keyword">import</span> Session

ip <span class="token operator">=</span> <span class="token string">&quot;127.0.0.1&quot;</span>
port_ <span class="token operator">=</span> <span class="token string">&quot;6667&quot;</span>
username_ <span class="token operator">=</span> <span class="token string">&quot;root&quot;</span>
password_ <span class="token operator">=</span> <span class="token string">&quot;root&quot;</span>
session <span class="token operator">=</span> Session<span class="token punctuation">(</span>ip<span class="token punctuation">,</span> port_<span class="token punctuation">,</span> username_<span class="token punctuation">,</span> password_<span class="token punctuation">)</span>
session<span class="token punctuation">.</span><span class="token builtin">open</span><span class="token punctuation">(</span><span class="token boolean">False</span><span class="token punctuation">)</span>
result <span class="token operator">=</span> session<span class="token punctuation">.</span>execute_query_statement<span class="token punctuation">(</span><span class="token string">&quot;SELECT ** FROM root&quot;</span><span class="token punctuation">)</span>

<span class="token comment"># Transform to Pandas Dataset</span>
df <span class="token operator">=</span> result<span class="token punctuation">.</span>todf<span class="token punctuation">(</span><span class="token punctuation">)</span>

session<span class="token punctuation">.</span>close<span class="token punctuation">(</span><span class="token punctuation">)</span>

<span class="token comment"># Now you can work with the dataframe</span>
df <span class="token operator">=</span> <span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
</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></div><h3 id="iotdb-testcontainer" tabindex="-1"><a class="header-anchor" href="#iotdb-testcontainer"><span>IoTDB Testcontainer</span></a></h3>`,4),g=s("code",null,"testcontainers",-1),y={href:"https://testcontainers-python.readthedocs.io/en/latest/index.html",target:"_blank",rel:"noopener noreferrer"},f=e(`<p>要在 Docker 容器中启动（和停止）一个 IoTDB 数据库，只需这样做：</p><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code><span class="token keyword">class</span> <span class="token class-name">MyTestCase</span><span class="token punctuation">(</span>unittest<span class="token punctuation">.</span>TestCase<span class="token punctuation">)</span><span class="token punctuation">:</span>

    <span class="token keyword">def</span> <span class="token function">test_something</span><span class="token punctuation">(</span>self<span class="token punctuation">)</span><span class="token punctuation">:</span>
        <span class="token keyword">with</span> IoTDBContainer<span class="token punctuation">(</span><span class="token punctuation">)</span> <span class="token keyword">as</span> c<span class="token punctuation">:</span>
            session <span class="token operator">=</span> Session<span class="token punctuation">(</span><span class="token string">&quot;localhost&quot;</span><span class="token punctuation">,</span> c<span class="token punctuation">.</span>get_exposed_port<span class="token punctuation">(</span><span class="token number">6667</span><span class="token punctuation">)</span><span class="token punctuation">,</span> <span class="token string">&quot;root&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;root&quot;</span><span class="token punctuation">)</span>
            session<span class="token punctuation">.</span><span class="token builtin">open</span><span class="token punctuation">(</span><span class="token boolean">False</span><span class="token punctuation">)</span>
            result <span class="token operator">=</span> session<span class="token punctuation">.</span>execute_query_statement<span class="token punctuation">(</span><span class="token string">&quot;SHOW TIMESERIES&quot;</span><span class="token punctuation">)</span>
            <span class="token keyword">print</span><span class="token punctuation">(</span>result<span class="token punctuation">)</span>
            session<span class="token punctuation">.</span>close<span class="token punctuation">(</span><span class="token punctuation">)</span>
</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>默认情况下，它会拉取最新的 IoTDB 镜像 <code>apache/iotdb:latest</code>进行测试，如果您想指定待测 IoTDB 的版本，您只需要将版本信息像这样声明：<code>IoTDBContainer(&quot;apache/iotdb:0.12.0&quot;)</code>，此时，您就会得到一个<code>0.12.0</code>版本的 IoTDB 实例。</p><h3 id="给开发人员" tabindex="-1"><a class="header-anchor" href="#给开发人员"><span>给开发人员</span></a></h3><h4 id="介绍" tabindex="-1"><a class="header-anchor" href="#介绍"><span>介绍</span></a></h4><p>这是一个使用 thrift rpc 接口连接到 IoTDB 的示例。在 Windows 和 Linux 上操作几乎是一样的，但要注意路径分隔符等不同之处。</p><h4 id="依赖-1" tabindex="-1"><a class="header-anchor" href="#依赖-1"><span>依赖</span></a></h4><p>首选 Python3.7 或更高版本。</p><p>必须安装 thrift（0.11.0 或更高版本）才能将 thrift 文件编译为 Python 代码。下面是官方的安装教程，最终，您应该得到一个 thrift 可执行文件。</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>http://thrift.apache.org/docs/install/
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><p>在开始之前，您还需要在 Python 环境中安装<code>requirements_dev.txt</code>中的其他依赖：</p><div class="language-bash line-numbers-mode" data-ext="sh" data-title="sh"><pre class="language-bash"><code>pip <span class="token function">install</span> <span class="token parameter variable">-r</span> requirements_dev.txt
</code></pre><div class="line-numbers" aria-hidden="true"><div class="line-number"></div></div></div><h4 id="编译-thrift-库并调试" tabindex="-1"><a class="header-anchor" href="#编译-thrift-库并调试"><span>编译 thrift 库并调试</span></a></h4><p>在 IoTDB 源代码文件夹的根目录下，运行<code>mvn clean generate-sources -pl client-py -am</code>，</p><p>这个指令将自动删除<code>iotdb/thrift</code>中的文件，并使用新生成的 thrift 文件重新填充该文件夹。</p><p>这个文件夹在 git 中会被忽略，并且<strong>永远不应该被推到 git 中！</strong></p><p><strong>注意</strong>不要将<code>iotdb/thrift</code>上传到 git 仓库中 ！</p><h4 id="session-客户端-使用示例" tabindex="-1"><a class="header-anchor" href="#session-客户端-使用示例"><span>Session 客户端 &amp; 使用示例</span></a></h4><p>我们将 thrift 接口打包到<code>client-py/src/iotdb/session.py </code>中（与 Java 版本类似），还提供了一个示例文件<code>client-py/src/SessionExample.py</code>来说明如何使用 Session 模块。请仔细阅读。</p><p>另一个简单的例子：</p><div class="language-python line-numbers-mode" data-ext="py" data-title="py"><pre class="language-python"><code><span class="token keyword">from</span> iotdb<span class="token punctuation">.</span>Session <span class="token keyword">import</span> Session

ip <span class="token operator">=</span> <span class="token string">&quot;127.0.0.1&quot;</span>
port_ <span class="token operator">=</span> <span class="token string">&quot;6667&quot;</span>
username_ <span class="token operator">=</span> <span class="token string">&quot;root&quot;</span>
password_ <span class="token operator">=</span> <span class="token string">&quot;root&quot;</span>
session <span class="token operator">=</span> Session<span class="token punctuation">(</span>ip<span class="token punctuation">,</span> port_<span class="token punctuation">,</span> username_<span class="token punctuation">,</span> password_<span class="token punctuation">)</span>
session<span class="token punctuation">.</span><span class="token builtin">open</span><span class="token punctuation">(</span><span class="token boolean">False</span><span class="token punctuation">)</span>
zone <span class="token operator">=</span> session<span class="token punctuation">.</span>get_time_zone<span class="token punctuation">(</span><span class="token punctuation">)</span>
session<span class="token punctuation">.</span>close<span class="token punctuation">(</span><span class="token punctuation">)</span>
</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><h4 id="测试" tabindex="-1"><a class="header-anchor" href="#测试"><span>测试</span></a></h4><p>请在<code>tests</code>文件夹中添加自定义测试。</p><p>要运行所有的测试，只需在根目录中运行<code>pytest . </code>即可。</p>`,24),q=s("strong",null,"注意",-1),x={href:"https://testcontainers-python.readthedocs.io/en/latest/index.html",target:"_blank",rel:"noopener noreferrer"},T=s("h4",{id:"其他工具",tabindex:"-1"},[s("a",{class:"header-anchor",href:"#其他工具"},[s("span",null,"其他工具")])],-1),P={href:"https://pypi.org/project/black/",target:"_blank",rel:"noopener noreferrer"},S={href:"https://pypi.org/project/flake8/",target:"_blank",rel:"noopener noreferrer"},D=s("br",null,null,-1),I=s("code",null,"black .",-1),N=s("code",null,"flake8 .",-1),w=e('<h4 id="发版" tabindex="-1"><a class="header-anchor" href="#发版"><span>发版</span></a></h4><p>要进行发版，</p><p>只需确保您生成了正确的 thrift 代码，</p><p>运行了 linting 并进行了自动格式化，</p><p>然后，确保所有测试都正常通过（通过<code>pytest . </code>），</p><p>最后，您就可以将包发布到 pypi 了。</p><h5 id="准备您的环境" tabindex="-1"><a class="header-anchor" href="#准备您的环境"><span>准备您的环境</span></a></h5><p>首先，通过<code>pip install -r requirements_dev.txt</code>安装所有必要的开发依赖。</p><h5 id="发版-1" tabindex="-1"><a class="header-anchor" href="#发版-1"><span>发版</span></a></h5><p>有一个脚本<code>release.sh</code>可以用来执行发版的所有步骤。</p><p>这些步骤包括：</p><ul><li><p>删除所有临时目录（如果存在）</p></li><li><p>（重新）通过 mvn 生成所有必须的源代码</p></li><li><p>运行 linting （flke8）</p></li><li><p>通过 pytest 运行测试</p></li><li><p>Build</p></li><li><p>发布到 pypi</p></li></ul>',12);function B(A,E){const a=o("ExternalLinkIcon");return i(),l("div",null,[u,s("p",null,[n("您可以从这里得到一个使用该包进行数据读写的例子："),s("a",r,[n("Session Example"),t(a)])]),s("p",null,[n("关于对齐时间序列读写的例子："),s("a",d,[n("Aligned Timeseries Session Example"),t(a)])]),k,s("p",null,[n("相较于普通 Tablet，Numpy Tablet 使用 "),s("a",m,[n("numpy.ndarray"),t(a)]),n(" 来记录数值型数据。"),v,n(" 内存占用和序列化耗时会降低很多，写入效率也会有很大提升。")]),h,s("p",null,[n("我们支持将查询结果轻松地转换为 "),s("a",b,[n("Pandas Dataframe"),t(a)]),n("。")]),_,s("p",null,[n("Python 客户端对测试的支持是基于"),g,n("库 ("),s("a",y,[n("https://testcontainers-python.readthedocs.io/en/latest/index.html"),t(a)]),n(") 的，如果您想使用该特性，就需要将其安装到您的项目中。")]),f,s("p",null,[q,n("一些测试需要在您的系统上使用 docker，因为测试的 IoTDB 实例是使用 "),s("a",x,[n("testcontainers"),t(a)]),n(" 在 docker 容器中启动的。")]),T,s("p",null,[s("a",P,[n("black"),t(a)]),n(" 和 "),s("a",S,[n("flake8"),t(a)]),n(" 分别用于自动格式化和 linting。"),D,n(" 它们可以通过 "),I,n(" 或 "),N,n(" 分别运行。")]),w])}const C=p(c,[["render",B],["__file","Programming-Python-Native-API.html.vue"]]),F=JSON.parse('{"path":"/zh/UserGuide/V0.13.x/API/Programming-Python-Native-API.html","title":"","lang":"zh-CN","frontmatter":{"description":"Python 原生接口 依赖 在使用 Python 原生接口包前，您需要安装 thrift (>=0.13) 依赖。 如何使用 （示例） 首先下载最新安装包：pip3 install apache-iotdb 注意：如果您想要安装 0.13.0 版本的 Python API，不要使用 pip install apache-iotdb==0.13.0，请...","head":[["link",{"rel":"alternate","hreflang":"en-us","href":"https://iotdb.apache.org/UserGuide/V0.13.x/API/Programming-Python-Native-API.html"}],["meta",{"property":"og:url","content":"https://iotdb.apache.org/zh/UserGuide/V0.13.x/API/Programming-Python-Native-API.html"}],["meta",{"property":"og:site_name","content":"IoTDB Website"}],["meta",{"property":"og:description","content":"Python 原生接口 依赖 在使用 Python 原生接口包前，您需要安装 thrift (>=0.13) 依赖。 如何使用 （示例） 首先下载最新安装包：pip3 install apache-iotdb 注意：如果您想要安装 0.13.0 版本的 Python API，不要使用 pip install apache-iotdb==0.13.0，请..."}],["meta",{"property":"og:type","content":"article"}],["meta",{"property":"og:locale","content":"zh-CN"}],["meta",{"property":"og:locale:alternate","content":"en-US"}],["meta",{"property":"og:updated_time","content":"2023-07-10T03:11:17.000Z"}],["meta",{"property":"article:modified_time","content":"2023-07-10T03:11:17.000Z"}],["script",{"type":"application/ld+json"},"{\\"@context\\":\\"https://schema.org\\",\\"@type\\":\\"Article\\",\\"headline\\":\\"\\",\\"image\\":[\\"\\"],\\"dateModified\\":\\"2023-07-10T03:11:17.000Z\\",\\"author\\":[]}"]]},"headers":[{"level":2,"title":"Python 原生接口","slug":"python-原生接口","link":"#python-原生接口","children":[{"level":3,"title":"依赖","slug":"依赖","link":"#依赖","children":[]},{"level":3,"title":"如何使用 （示例）","slug":"如何使用-示例","link":"#如何使用-示例","children":[]},{"level":3,"title":"基本接口说明","slug":"基本接口说明","link":"#基本接口说明","children":[]},{"level":3,"title":"对 Pandas 的支持","slug":"对-pandas-的支持","link":"#对-pandas-的支持","children":[]},{"level":3,"title":"IoTDB Testcontainer","slug":"iotdb-testcontainer","link":"#iotdb-testcontainer","children":[]},{"level":3,"title":"给开发人员","slug":"给开发人员","link":"#给开发人员","children":[]}]}],"git":{"createdTime":1688958677000,"updatedTime":1688958677000,"contributors":[{"name":"CritasWang","email":"critas@outlook.com","commits":1}]},"readingTime":{"minutes":6.54,"words":1961},"filePathRelative":"zh/UserGuide/V0.13.x/API/Programming-Python-Native-API.md","localizedDate":"2023年7月10日","autoDesc":true}');export{C as comp,F as data};