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450.445v352.632c117.674 1.553 211.787 40.778 211.787 88.676H304.097c0-48.286 95.149-87.382 213.728-88.676V450.445c-93.077-3.107-167.901-81.297-167.901-177.093 0-8.803 6.99-15.793 15.793-15.793 8.803 0 15.794 6.99 15.794 15.793 0 80.261 63.69 145.635 142.01 145.635s142.011-65.374 142.011-145.635c0-8.803 6.99-15.793 15.794-15.793s15.793 6.99 15.793 15.793c0 95.019-73.789 172.82-165.96 177.093z"></path></svg><span>About 3 min</span><meta property="timeRequired" content="PT3M"></span><!----><!----></div><hr></div><div class="toc-place-holder"><aside id="toc"><!--[--><!----><!--]--><div class="toc-header">On This Page<button type="button" class="print-button" title="Print"><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 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class="vp-link toc-link level3 toc-link level3" href="#data-type-correspondence">Data Type Correspondence</a></li><!----><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#tsfinputformat-explanation">TSFInputFormat Explanation</a></li><!----><!--]--><!--[--><li class="toc-item"><a class="vp-link toc-link level3 toc-link level3" href="#examples">Examples</a></li><!----><!--]--></ul></li><!--]--></ul><div class="toc-marker" style="top:-1.7rem;"></div></div><!--[--><!----><!--]--></aside></div><!--[--><!----><!--]--><div class="theme-hope-content"><!--

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--><h2 id="hadoop-tsfile" tabindex="-1"><a class="header-anchor" href="#hadoop-tsfile" aria-hidden="true">#</a> Hadoop-TsFile</h2><h3 id="about-hadoop-tsfile-connector" tabindex="-1"><a class="header-anchor" href="#about-hadoop-tsfile-connector" aria-hidden="true">#</a> About Hadoop-TsFile-Connector</h3><p>TsFile-Hadoop-Connector implements the support of Hadoop for external data sources of Tsfile type. This enables users to read, write and query Tsfile by Hadoop.</p><p>With this connector, you can</p><ul><li>load a single TsFile, from either the local file system or hdfs, into Hadoop</li><li>load all files in a specific directory, from either the local file system or hdfs, into hadoop</li><li>write data from Hadoop into TsFile</li></ul><h3 id="system-requirements" tabindex="-1"><a class="header-anchor" href="#system-requirements" aria-hidden="true">#</a> System Requirements</h3><table><thead><tr><th style="text-align:center;">Hadoop Version</th><th style="text-align:center;">Java Version</th><th style="text-align:center;">TsFile Version</th></tr></thead><tbody><tr><td style="text-align:center;"><code>2.7.3</code></td><td style="text-align:center;"><code>1.8</code></td><td style="text-align:center;"><code>1.0.0</code></td></tr></tbody></table><blockquote><p>Note: For more information about how to download and use TsFile, please see the following link: <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="data-type-correspondence" tabindex="-1"><a class="header-anchor" href="#data-type-correspondence" aria-hidden="true">#</a> Data Type Correspondence</h3><table><thead><tr><th>TsFile data type</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="tsfinputformat-explanation" tabindex="-1"><a class="header-anchor" href="#tsfinputformat-explanation" aria-hidden="true">#</a> TSFInputFormat Explanation</h3><p>TSFInputFormat extract data from tsfile and format them into records of <code>MapWritable</code>.</p><p>Suppose that we want to extract data of the device named <code>d1</code> which has three sensors named <code>s1</code>, <code>s2</code>, <code>s3</code>.</p><p><code>s1</code>&#39;s type is <code>BOOLEAN</code>, <code>s2</code>&#39;s type is <code>DOUBLE</code>, <code>s3</code>&#39;s type is <code>TEXT</code>.</p><p>The <code>MapWritable</code> struct will be like:</p><div class="language-text line-numbers-mode" data-ext="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>In the Map job of Hadoop, you can get any value you want by key as following:</p><p><code>mapwritable.get(new Text(&quot;s1&quot;))</code></p><blockquote><p>Note: All keys in <code>MapWritable</code> are <code>Text</code> type.</p></blockquote><h3 id="examples" tabindex="-1"><a class="header-anchor" href="#examples" aria-hidden="true">#</a> Examples</h3><h4 id="read-example-calculate-the-sum" tabindex="-1"><a class="header-anchor" href="#read-example-calculate-the-sum" aria-hidden="true">#</a> Read Example: calculate the sum</h4><p>First of all, we should tell InputFormat what kind of data we want from tsfile.</p><div class="language-text line-numbers-mode" data-ext="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>And then,the output key and value of mapper and reducer should be specified</p><div class="language-text line-numbers-mode" data-ext="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>Then, the <code>mapper</code> and <code>reducer</code> class is how you deal with the <code>MapWritable</code> produced by <code>TSFInputFormat</code> class.</p><div class="language-text line-numbers-mode" data-ext="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>Note: For the complete code, please see the following link: <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><h4 id="write-example-write-the-average-into-tsfile" tabindex="-1"><a class="header-anchor" href="#write-example-write-the-average-into-tsfile" aria-hidden="true">#</a> Write Example: write the average into Tsfile</h4><p>Except for the <code>OutputFormatClass</code>, the rest of configuration code for hadoop map-reduce job is almost same as above.</p><div class="language-text line-numbers-mode" data-ext="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>Then, the <code>mapper</code> and <code>reducer</code> class is how you deal with the <code>MapWritable</code> produced by <code>TSFInputFormat</code> class.</p><div class="language-text line-numbers-mode" data-ext="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></div><blockquote><p>Note: For the complete code, please see the following link: <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" 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></div><!--[--><!----><!--]--><footer class="page-meta"><div class="meta-item edit-link"><a href="https://github.com/apache/iotdb-docs/edit/main/src/UserGuide/V1.1.x/Ecosystem-Integration/MapReduce-TsFile.md" rel="noopener noreferrer" target="_blank" aria-label="Found Error? 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