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class="vp-toc-header">此页内容<button type="button" class="print-button" title="打印"><svg xmlns="http://www.w3.org/2000/svg" class="icon print-icon" viewBox="0 0 1024 1024" fill="currentColor" aria-label="print icon"><path d="M819.2 364.8h-44.8V128c0-17.067-14.933-32-32-32H281.6c-17.067 0-32 14.933-32 32v236.8h-44.8C145.067 364.8 96 413.867 96 473.6v192c0 59.733 49.067 108.8 108.8 108.8h44.8V896c0 17.067 14.933 32 32 32h460.8c17.067 0 32-14.933 32-32V774.4h44.8c59.733 0 108.8-49.067 108.8-108.8v-192c0-59.733-49.067-108.8-108.8-108.8zM313.6 160h396.8v204.8H313.6V160zm396.8 704H313.6V620.8h396.8V864zM864 665.6c0 25.6-19.2 44.8-44.8 44.8h-44.8V588.8c0-17.067-14.933-32-32-32H281.6c-17.067 0-32 14.933-32 32v121.6h-44.8c-25.6 0-44.8-19.2-44.8-44.8v-192c0-25.6 19.2-44.8 44.8-44.8h614.4c25.6 0 44.8 19.2 44.8 44.8v192z"></path></svg></button><div class="arrow end"></div></div><div class="vp-toc-wrapper"><ul class="vp-toc-list"><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level2" href="#hadoop-tsfile">Hadoop-TsFile</a></li><li><ul class="vp-toc-list"><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#系统环境要求">系统环境要求</a></li><!----><!--]--><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#数据类型对应关系">数据类型对应关系</a></li><!----><!--]--><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#关于-tsfinputformat-的说明">关于 TSFInputFormat 的说明</a></li><!----><!--]--><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#使用示例">使用示例</a></li><!----><!--]--><!--[--><li class="vp-toc-item"><a class="route-link vp-toc-link level3" href="#写示例-计算平均数并写入-tsfile-中">写示例：计算平均数并写入 Tsfile 中</a></li><!----><!--]--></ul></li><!--]--></ul><div class="vp-toc-marker" style="top:-1.7rem;"></div></div><!--[--><!----><!--]--></aside></div><!--[--><!----><!--]--><div class="theme-hope-content"><h2 id="hadoop-tsfile" tabindex="-1"><a class="header-anchor" href="#hadoop-tsfile"><span>Hadoop-TsFile</span></a></h2><p>TsFile 的 Hadoop 连接器实现了对 Hadoop 读取外部 Tsfile 类型的文件格式的支持。让用户可以使用 Hadoop 的 map、reduce 等操作对 Tsfile 文件进行读取、写入和查询。</p><p>有了这个连接器，用户可以</p><ul><li>将单个 Tsfile 文件加载进 Hadoop，不论文件是存储在本地文件系统或者是 HDFS 中</li><li>将某个特定目录下的所有文件加载进 Hadoop，不论文件是存储在本地文件系统或者是 HDFS 中</li><li>将 Hadoop 处理完后的结果以 Tsfile 的格式保存</li></ul><h3 id="系统环境要求" tabindex="-1"><a class="header-anchor" href="#系统环境要求"><span>系统环境要求</span></a></h3><table><thead><tr><th>Hadoop 版本</th><th>Java 版本</th><th>TsFile 版本</th></tr></thead><tbody><tr><td><code>2.7.3</code></td><td><code>1.8</code></td><td><code>0.13.0-SNAPSHOT+</code></td></tr></tbody></table><blockquote><p>注意：关于如何下载和使用 Tsfile, 请参考以下链接：<a href="https://github.com/apache/iotdb/tree/master/tsfile" target="_blank" rel="noopener noreferrer">https://github.com/apache/iotdb/tree/master/tsfile<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>.</p></blockquote><h3 id="数据类型对应关系" tabindex="-1"><a class="header-anchor" href="#数据类型对应关系"><span>数据类型对应关系</span></a></h3><table><thead><tr><th>TsFile 数据类型</th><th>Hadoop writable</th></tr></thead><tbody><tr><td>BOOLEAN</td><td>BooleanWritable</td></tr><tr><td>INT32</td><td>IntWritable</td></tr><tr><td>INT64</td><td>LongWritable</td></tr><tr><td>FLOAT</td><td>FloatWritable</td></tr><tr><td>DOUBLE</td><td>DoubleWritable</td></tr><tr><td>TEXT</td><td>Text</td></tr></tbody></table><h3 id="关于-tsfinputformat-的说明" tabindex="-1"><a class="header-anchor" href="#关于-tsfinputformat-的说明"><span>关于 TSFInputFormat 的说明</span></a></h3><p>TSFInputFormat 继承了 Hadoop 中 FileInputFormat 类，重写了其中切片的方法。</p><p>目前的切片方法是根据每个 ChunkGroup 的中点的 offset 是否属于 Hadoop 所切片的 startOffset 和 endOffset 之间，来判断是否将该 ChunkGroup 放入此切片。</p><p>TSFInputFormat 将 tsfile 中的数据以多个<code>MapWritable</code>记录的形式返回给用户。</p><p>假设我们想要从 Tsfile 中获得名为<code>d1</code>的设备的数据，该设备有三个传感器，名称分别为<code>s1</code>, <code>s2</code>, <code>s3</code>。</p><p><code>s1</code>的类型是<code>BOOLEAN</code>, <code>s2</code>的类型是 <code>DOUBLE</code>, <code>s3</code>的类型是<code>TEXT</code>.</p><p><code>MapWritable</code>的结构如下所示：</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>{
    &quot;time_stamp&quot;: 10000000,
    &quot;device_id&quot;:  d1,
    &quot;s1&quot;:         true,
    &quot;s2&quot;:         3.14,
    &quot;s3&quot;:         &quot;middle&quot;
}
</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>在 Hadoop 的 Map job 中，你可以采用如下方法获得你想要的任何值</p><p><code>mapwritable.get(new Text(&quot;s1&quot;))</code></p><blockquote><p>注意：<code>MapWritable</code>中所有的键值类型都是<code>Text</code>。</p></blockquote><h3 id="使用示例" tabindex="-1"><a class="header-anchor" href="#使用示例"><span>使用示例</span></a></h3><h4 id="读示例-求和" tabindex="-1"><a class="header-anchor" href="#读示例-求和"><span>读示例：求和</span></a></h4><p>首先，我们需要在 TSFInputFormat 中配置我们需要哪些数据</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>// configure reading time enable
TSFInputFormat.setReadTime(job, true); 
// configure reading deviceId enable
TSFInputFormat.setReadDeviceId(job, true); 
// configure reading which deltaObjectIds
String[] deviceIds = {&quot;device_1&quot;};
TSFInputFormat.setReadDeviceIds(job, deltaObjectIds);
// configure reading which measurementIds
String[] measurementIds = {&quot;sensor_1&quot;, &quot;sensor_2&quot;, &quot;sensor_3&quot;};
TSFInputFormat.setReadMeasurementIds(job, measurementIds);
</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><p>然后，必须指定 mapper 和 reducer 输出的键和值类型</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>// set inputformat and outputformat
job.setInputFormatClass(TSFInputFormat.class);
// set mapper output key and value
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(DoubleWritable.class);
// set reducer output key and value
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(DoubleWritable.class);
</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><p>接着，就可以编写包含具体的处理数据逻辑的<code>mapper</code>和<code>reducer</code>类了。</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>public static class TSMapper extends Mapper&lt;NullWritable, MapWritable, Text, DoubleWritable&gt; {

	@Override
	protected void map(NullWritable key, MapWritable value,
	    Mapper&lt;NullWritable, MapWritable, Text, DoubleWritable&gt;.Context context)
	    throws IOException, InterruptedException {
	
	  Text deltaObjectId = (Text) value.get(new Text(&quot;device_id&quot;));
	  context.write(deltaObjectId, (DoubleWritable) value.get(new Text(&quot;sensor_3&quot;)));
	}
}

public static class TSReducer extends Reducer&lt;Text, DoubleWritable, Text, DoubleWritable&gt; {

	@Override
	protected void reduce(Text key, Iterable&lt;DoubleWritable&gt; values,
	    Reducer&lt;Text, DoubleWritable, Text, DoubleWritable&gt;.Context context)
	    throws IOException, InterruptedException {
	
	  double sum = 0;
	  for (DoubleWritable value : values) {
	    sum = sum + value.get();
	  }
	  context.write(key, new DoubleWritable(sum));
	}
}
</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：完整的代码示例可以在如下链接中找到：<a href="https://github.com/apache/iotdb/blob/master/example/hadoop/src/main/java/org/apache/iotdb/hadoop/tsfile/TSFMRReadExample.java" target="_blank" rel="noopener noreferrer">https://github.com/apache/iotdb/blob/master/example/hadoop/src/main/java/org/apache/iotdb/hadoop/tsfile/TSFMRReadExample.java<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></p></blockquote><h3 id="写示例-计算平均数并写入-tsfile-中" tabindex="-1"><a class="header-anchor" href="#写示例-计算平均数并写入-tsfile-中"><span>写示例：计算平均数并写入 Tsfile 中</span></a></h3><p>除了<code>OutputFormatClass</code>，剩下的配置代码跟上面的读示例是一样的</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>job.setOutputFormatClass(TSFOutputFormat.class);
// set reducer output key and value
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(HDFSTSRecord.class);
</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>然后，是包含具体的处理数据逻辑的<code>mapper</code>和<code>reducer</code>类。</p><div class="language-text line-numbers-mode" data-ext="text" data-title="text"><pre class="language-text"><code>public static class TSMapper extends Mapper&lt;NullWritable, MapWritable, Text, MapWritable&gt; {

    @Override
    protected void map(NullWritable key, MapWritable value,
                       Mapper&lt;NullWritable, MapWritable, Text, MapWritable&gt;.Context context)
            throws IOException, InterruptedException {

        Text deltaObjectId = (Text) value.get(new Text(&quot;device_id&quot;));
        long timestamp = ((LongWritable)value.get(new Text(&quot;timestamp&quot;))).get();
        if (timestamp % 100000 == 0) {
            context.write(deltaObjectId, new MapWritable(value));
        }
    }
}

/**
 * This reducer calculate the average value.
 */
public static class TSReducer extends Reducer&lt;Text, MapWritable, NullWritable, HDFSTSRecord&gt; {

    @Override
    protected void reduce(Text key, Iterable&lt;MapWritable&gt; values,
                          Reducer&lt;Text, MapWritable, NullWritable, HDFSTSRecord&gt;.Context context) throws IOException, InterruptedException {
        long sensor1_value_sum = 0;
        long sensor2_value_sum = 0;
        double sensor3_value_sum = 0;
        long num = 0;
        for (MapWritable value : values) {
            num++;
            sensor1_value_sum += ((LongWritable)value.get(new Text(&quot;sensor_1&quot;))).get();
            sensor2_value_sum += ((LongWritable)value.get(new Text(&quot;sensor_2&quot;))).get();
            sensor3_value_sum += ((DoubleWritable)value.get(new Text(&quot;sensor_3&quot;))).get();
        }
        HDFSTSRecord tsRecord = new HDFSTSRecord(1L, key.toString());
        DataPoint dPoint1 = new LongDataPoint(&quot;sensor_1&quot;, sensor1_value_sum / num);
        DataPoint dPoint2 = new LongDataPoint(&quot;sensor_2&quot;, sensor2_value_sum / num);
        DataPoint dPoint3 = new DoubleDataPoint(&quot;sensor_3&quot;, sensor3_value_sum / num);
        tsRecord.addTuple(dPoint1);
        tsRecord.addTuple(dPoint2);
        tsRecord.addTuple(dPoint3);
        context.write(NullWritable.get(), tsRecord);
    }
}
</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 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：完整的代码示例可以在如下链接中找到：<a href="https://github.com/apache/iotdb/blob/master/example/hadoop/src/main/java/org/apache/iotdb/hadoop/tsfile/TSMRWriteExample.java" target="_blank" rel="noopener noreferrer">https://github.com/apache/iotdb/blob/master/example/hadoop/src/main/java/org/apache/iotdb/hadoop/tsfile/TSMRWriteExample.java<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" 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