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    gitHub
    <svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><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></a></nav>  <ul class="sidebar-links"><li><section class="sidebar-group depth-0"><p class="sidebar-heading"><span>IoTDB用户手册 (V0.9.x)</span> <!----></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>0-开始</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>1-概览</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>2-概念</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>3-服务器端</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>4-客户端</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>5-操作指南</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>6-系统工具</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading open"><span>7-生态集成</span> <span class="arrow down"></span></p> <ul class="sidebar-links sidebar-group-items"><li><a href="/zh/UserGuide/V0.9.x/7-Ecosystem Integration/1-Grafana.html" class="sidebar-link">Grafana</a></li><li><a href="/zh/UserGuide/V0.9.x/7-Ecosystem Integration/2-MapReduce TsFile.html" class="sidebar-link">MapReduce TsFile</a></li><li><a href="/zh/UserGuide/V0.9.x/7-Ecosystem Integration/3-Spark TsFile.html" class="sidebar-link">Spark TsFile</a></li><li><a href="/zh/UserGuide/V0.9.x/7-Ecosystem Integration/4-Spark IoTDB.html" class="active sidebar-link">Spark IoTDB</a></li><li><a href="/zh/UserGuide/V0.9.x/7-Ecosystem Integration/5-Hive TsFile.html" class="sidebar-link">Hive TsFile</a></li></ul></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>8-系统设计</span> <span class="arrow right"></span></p> <!----></section></li></ul> </aside> <main class="page"> <div class="content content__default"><h1 id="spark-iotdb连接"><a href="#spark-iotdb连接" class="header-anchor">#</a> Spark IoTDB连接</h1> <h2 id="版本"><a href="#版本" class="header-anchor">#</a> 版本</h2> <p>Spark和Java所需的版本如下：</p> <table><thead><tr><th>Spark Version</th> <th>Scala Version</th> <th>Java Version</th> <th>TsFile</th></tr></thead> <tbody><tr><td><code>2.4.3</code></td> <td><code>2.11</code></td> <td><code>1.8</code></td> <td><code>0.9.2</code></td></tr></tbody></table> <h2 id="安装"><a href="#安装" class="header-anchor">#</a> 安装</h2> <p>mvn clean scala：compile编译安装</p> <h1 id="_1-maven依赖"><a href="#_1-maven依赖" class="header-anchor">#</a> 1. Maven依赖</h1> <div class="language- line-numbers-mode"><pre class="language-text"><code>    &lt;dependency&gt;
      &lt;groupId&gt;org.apache.iotdb&lt;/groupId&gt;
      &lt;artifactId&gt;spark-iotdb-connector&lt;/artifactId&gt;
      &lt;version&gt;0.9.2&lt;/version&gt;
    &lt;/dependency&gt;
</code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br></div></div><h1 id="_2-spark-shell用户指南"><a href="#_2-spark-shell用户指南" class="header-anchor">#</a> 2. Spark-shell用户指南</h1> <div class="language- line-numbers-mode"><pre class="language-text"><code>spark-shell --jars spark-iotdb-connector-0.9.2.jar,iotdb-jdbc-0.9.2-jar-with-dependencies.jar

import org.apache.iotdb.spark.db._

val df = spark.read.format(&quot;org.apache.iotdb.spark.db&quot;).option(&quot;url&quot;,&quot;jdbc:iotdb://127.0.0.1:6667/&quot;).option(&quot;sql&quot;,&quot;select * from root&quot;).load

df.printSchema()

df.show()
</code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><h3 id="如果要对rdd进行分区，可以执行以下操作"><a href="#如果要对rdd进行分区，可以执行以下操作" class="header-anchor">#</a> 如果要对rdd进行分区，可以执行以下操作</h3> <div class="language- line-numbers-mode"><pre class="language-text"><code>spark-shell --jars spark-iotdb-connector-0.9.2.jar,iotdb-jdbc-0.9.2-jar-with-dependencies.jar

import org.apache.iotdb.spark.db._

val df = spark.read.format(&quot;org.apache.iotdb.spark.db&quot;).option(&quot;url&quot;,&quot;jdbc:iotdb://127.0.0.1:6667/&quot;).option(&quot;sql&quot;,&quot;select * from root&quot;).
                        option(&quot;lowerBound&quot;, [lower bound of time that you want query(include)]).option(&quot;upperBound&quot;, [upper bound of time that you want query(include)]).
                        option(&quot;numPartition&quot;, [the partition number you want]).load

df.printSchema()

df.show()
</code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br></div></div><h1 id="_3-模式推断"><a href="#_3-模式推断" class="header-anchor">#</a> 3. 模式推断</h1> <p>以以下TsFile结构为例：TsFile模式中有三个度量：状态，温度和硬件。 这三种测量的基本信息如下：</p> <center><table style="text-align:center;"><tr><th colspan="2">Name</th><th colspan="2">Type</th><th colspan="2">Encode</th></tr> <tr><td colspan="2">status</td><td colspan="2">Boolean</td><td colspan="2">PLAIN</td></tr> <tr><td colspan="2">temperature</td><td colspan="2">Float</td><td colspan="2">RLE</td></tr> <tr><td colspan="2">hardware</td><td colspan="2">Text</td><td colspan="2">PLAIN</td></tr></table></center> <p>TsFile中的现有数据如下：</p> <center><table style="text-align:center;"><tr><th colspan="4">device:root.ln.wf01.wt01</th><th colspan="4">device:root.ln.wf02.wt02</th></tr> <tr><th colspan="2">status</th><th colspan="2">temperature</th><th colspan="2">hardware</th><th colspan="2">status</th></tr> <tr><th>time</th><th>value</th><th>time</th><th>value</th><th>time</th><th>value</th><th>time</th><th>value</th></tr> <tr><td>1</td><td>True</td><td>1</td><td>2.2</td><td>2</td><td>&quot;aaa&quot;</td><td>1</td><td>True</td></tr> <tr><td>3</td><td>True</td><td>2</td><td>2.2</td><td>4</td><td>&quot;bbb&quot;</td><td>2</td><td>False</td></tr> <tr><td>5</td><td> False </td><td>3</td><td>2.1</td><td>6</td><td>&quot;ccc&quot;</td><td>4</td><td>True</td></tr></table></center>
宽（默认）表形式如下：
<table><thead><tr><th>time</th> <th>root.ln.wf02.wt02.temperature</th> <th>root.ln.wf02.wt02.status</th> <th>root.ln.wf02.wt02.hardware</th> <th>root.ln.wf01.wt01.temperature</th> <th>root.ln.wf01.wt01.status</th> <th>root.ln.wf01.wt01.hardware</th></tr></thead> <tbody><tr><td>1</td> <td>null</td> <td>true</td> <td>null</td> <td>2.2</td> <td>true</td> <td>null</td></tr> <tr><td>2</td> <td>null</td> <td>false</td> <td>aaa</td> <td>2.2</td> <td>null</td> <td>null</td></tr> <tr><td>3</td> <td>null</td> <td>null</td> <td>null</td> <td>2.1</td> <td>true</td> <td>null</td></tr> <tr><td>4</td> <td>null</td> <td>true</td> <td>bbb</td> <td>null</td> <td>null</td> <td>null</td></tr> <tr><td>5</td> <td>null</td> <td>null</td> <td>null</td> <td>null</td> <td>false</td> <td>null</td></tr> <tr><td>6</td> <td>null</td> <td>null</td> <td>ccc</td> <td>null</td> <td>null</td> <td>null</td></tr></tbody></table> <p>您还可以使用窄表形式，如下所示：（您可以参阅第4部分，了解如何使用窄表形式）</p> <table><thead><tr><th>time</th> <th>device_name</th> <th>status</th> <th>hardware</th> <th>temperature</th></tr></thead> <tbody><tr><td>1</td> <td>root.ln.wf02.wt01</td> <td>true</td> <td>null</td> <td>2.2</td></tr> <tr><td>1</td> <td>root.ln.wf02.wt02</td> <td>true</td> <td>null</td> <td>null</td></tr> <tr><td>2</td> <td>root.ln.wf02.wt01</td> <td>null</td> <td>null</td> <td>2.2</td></tr> <tr><td>2</td> <td>root.ln.wf02.wt02</td> <td>false</td> <td>aaa</td> <td>null</td></tr> <tr><td>3</td> <td>root.ln.wf02.wt01</td> <td>true</td> <td>null</td> <td>2.1</td></tr> <tr><td>4</td> <td>root.ln.wf02.wt02</td> <td>true</td> <td>bbb</td> <td>null</td></tr> <tr><td>5</td> <td>root.ln.wf02.wt01</td> <td>false</td> <td>null</td> <td>null</td></tr> <tr><td>6</td> <td>root.ln.wf02.wt02</td> <td>null</td> <td>ccc</td> <td>null</td></tr></tbody></table> <h1 id="_4-在宽和窄之间转换"><a href="#_4-在宽和窄之间转换" class="header-anchor">#</a> 4. 在宽和窄之间转换</h1> <h2 id="从宽到窄"><a href="#从宽到窄" class="header-anchor">#</a> 从宽到窄</h2> <div class="language- line-numbers-mode"><pre class="language-text"><code>import org.apache.iotdb.spark.db._

val wide_df = spark.read.format(&quot;org.apache.iotdb.spark.db&quot;).option(&quot;url&quot;, &quot;jdbc:iotdb://127.0.0.1:6667/&quot;).option(&quot;sql&quot;, &quot;select * from root where time &lt; 1100 and time &gt; 1000&quot;).load
val narrow_df = Transformer.toNarrowForm(spark, wide_df)
</code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br></div></div><h2 id="从窄到宽"><a href="#从窄到宽" class="header-anchor">#</a> 从窄到宽</h2> <div class="language- line-numbers-mode"><pre class="language-text"><code>import org.apache.iotdb.spark.db._

val wide_df = Transformer.toWideForm(spark, narrow_df)
</code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br></div></div><h1 id="_5-java用户指南"><a href="#_5-java用户指南" class="header-anchor">#</a> 5. Java用户指南</h1> <div class="language- line-numbers-mode"><pre class="language-text"><code>import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.apache.iotdb.spark.db.*

public class Example {

  public static void main(String[] args) {
    SparkSession spark = SparkSession
        .builder()
        .appName(&quot;Build a DataFrame from Scratch&quot;)
        .master(&quot;local[*]&quot;)
        .getOrCreate();

    Dataset&lt;Row&gt; df = spark.read().format(&quot;org.apache.iotdb.spark.db&quot;)
        .option(&quot;url&quot;,&quot;jdbc:iotdb://127.0.0.1:6667/&quot;)
        .option(&quot;sql&quot;,&quot;select * from root&quot;).load();

    df.printSchema();

    df.show();
    
    Dataset&lt;Row&gt; narrowTable = Transformer.toNarrowForm(spark, df)
    narrowTable.show()
  }
}
</code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br></div></div></div> <div class="page-nav"><p class="inner"><span class="prev">
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