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<ul><li>About TsFile-Hadoop-Connector</li> <li>System Requirements</li> <li>Data Type Correspondence</li> <li>TSFInputFormat Explanation</li> <li>Examples
<ul><li>Read Example: calculate the sum</li> <li>Write Example: write the average into Tsfile</li></ul></li></ul></li></ul> <h1 id="tsfile-hadoop-connector-user-guide"><a href="#tsfile-hadoop-connector-user-guide" class="header-anchor">#</a> TsFile-Hadoop-Connector User Guide</h1> <h2 id="about-tsfile-hadoop-connector"><a href="#about-tsfile-hadoop-connector" class="header-anchor">#</a> About TsFile-Hadoop-Connector</h2> <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> <h2 id="system-requirements"><a href="#system-requirements" class="header-anchor">#</a> System Requirements</h2> <table><thead><tr><th>Hadoop Version</th> <th>Java Version</th> <th>TsFile Version</th></tr></thead> <tbody><tr><td><code>2.7.3</code></td> <td><code>1.8</code></td> <td><code>0.10.0</code></td></tr></tbody></table> <blockquote><p>Note: For more information about how to download and use TsFile, please see the following link: https://github.com/apache/incubator-iotdb/tree/master/tsfile.</p></blockquote> <h2 id="data-type-correspondence"><a href="#data-type-correspondence" class="header-anchor">#</a> Data Type Correspondence</h2> <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> <h2 id="tsfinputformat-explanation"><a href="#tsfinputformat-explanation" class="header-anchor">#</a> TSFInputFormat Explanation</h2> <p>TSFInputFormat extract data from tsfile and format them into records of <code>MapWritable</code>.</p> <p>Supposing 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>'s type is <code>BOOLEAN</code>, <code>s2</code>'s type is <code>DOUBLE</code>, <code>s3</code>'s type is <code>TEXT</code>.</p> <p>The <code>MapWritable</code> struct will be like:</p> <div class="language- line-numbers-mode"><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-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></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 the keys in <code>MapWritable</code> have type of <code>Text</code>.</p></blockquote> <h2 id="examples"><a href="#examples" class="header-anchor">#</a> Examples</h2> <h3 id="read-example-calculate-the-sum"><a href="#read-example-calculate-the-sum" class="header-anchor">#</a> Read Example: calculate the sum</h3> <p>First of all, we should tell InputFormat what kind of data we want from tsfile.</p> <div class="language- line-numbers-mode"><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-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></div></div><p>And then,the output key and value of mapper and reducer should be specified</p> <div class="language- line-numbers-mode"><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-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></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- line-numbers-mode"><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-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><blockquote><p>Note: For the complete code, please see the following link: https://github.com/apache/incubator-iotdb/blob/master/example/hadoop/src/main/java/org/apache/iotdb//hadoop/tsfile/TSFMRReadExample.java</p></blockquote> <h3 id="write-example-write-the-average-into-tsfile"><a href="#write-example-write-the-average-into-tsfile" class="header-anchor">#</a> Write Example: write the average into Tsfile</h3> <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- line-numbers-mode"><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-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><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- line-numbers-mode"><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-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><span class="line-number">27</span><br><span class="line-number">28</span><br><span class="line-number">29</span><br><span class="line-number">30</span><br><span class="line-number">31</span><br><span class="line-number">32</span><br><span class="line-number">33</span><br><span class="line-number">34</span><br><span class="line-number">35</span><br><span class="line-number">36</span><br><span class="line-number">37</span><br><span class="line-number">38</span><br><span class="line-number">39</span><br><span class="line-number">40</span><br><span class="line-number">41</span><br><span class="line-number">42</span><br></div></div><blockquote><p>Note: For the complete code, please see the following link: https://github.com/apache/incubator-iotdb/blob/master/example/hadoop/src/main/java/org/apache/iotdb//hadoop/tsfile/TSMRWriteExample.java</p></blockquote></div> <div class="page-nav"><p class="inner"><span class="prev">
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