Example usage for org.apache.hadoop.io DoubleWritable DoubleWritable

Introduction

In this page you can find the example usage for org.apache.hadoop.io DoubleWritable DoubleWritable.

Prototype

public DoubleWritable(double value)

Source Link

Usage

From source file:com.tfm.utad.reducerdata.ReducerDataVerticaMapperReducerTest.java

@Test
public void testMapper() throws IOException, ParseException {
    String key = "123456";
    Date date = sdf.parse("2014-12-06 17:43:21");
    mapDriver.withInput(new Text(key),
            new Text("40.48989;-3.65754;User189;2014-12-06 17:43:21;20141206-34567-189"));
    mapDriver.withOutput(new Text("User189" + "20141206-34567-189"),
            new ReducerVerticaValue(new LongWritable((long) 123456), new Text("User189"), date,
                    new Text("20141206-34567-189"), new DoubleWritable(Double.valueOf("40.48989")),
                    new DoubleWritable(Double.valueOf("-3.65754")), new LongWritable(new Long("189"))));
    mapDriver.runTest();//from  w  w w . j a v  a 2  s .c  o m
}

From source file:com.tfm.utad.reducerdata.ReducerDataVerticaMapperReducerTest.java

@Test
public void testReducer() throws IOException, ParseException {
    List<ReducerVerticaValue> values = new ArrayList<>();
    Date date = sdf.parse("2014-12-06 17:43:21");
    ReducerVerticaValue verticaValue = new ReducerVerticaValue(new LongWritable((long) 123456),
            new Text("User189"), date, new Text("20141206-34567-189"),
            new DoubleWritable(Double.valueOf("40.48989")), new DoubleWritable(Double.valueOf("-3.65754")),
            new LongWritable(new Long("189")));
    values.add(verticaValue);//from  ww  w.ja  va 2  s.  co  m
    reduceDriver.withInput(new Text("User189" + "20141206-34567-189"), values);
    reduceDriver.withOutput(new Text(values.get(0).toString()), NullWritable.get());
    reduceDriver.runTest();
}

From source file:com.veera.secondarysort.demo2.SsMapper.java

License:Apache License

@Override
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
    String[] tokens = value.toString().split(",");

    String symbol = tokens[0].trim();
    Long timestamp = Long.parseLong(tokens[1].trim());
    Double v = Double.parseDouble(tokens[2].trim());

    StockKey stockKey = new StockKey(symbol, timestamp);
    DoubleWritable stockValue = new DoubleWritable(v);

    context.write(stockKey, stockValue);
    _log.debug(stockKey.toString() + " => " + stockValue.toString());
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.DoubleSumReducer.java

License:Apache License

protected void reduce(Text key, Iterable<DoubleWritable> valueSet, Context context)
        throws IOException, InterruptedException {
    // TODO Auto-generated method stub
    Iterator<DoubleWritable> values = valueSet.iterator();
    double sum = 0;
    while (values.hasNext()) {
        sum += values.next().get();/*  ww w  .  j av  a2  s .  co  m*/
    }
    context.write(key, new DoubleWritable(sum));
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.MeanMapper.java

License:Apache License

protected void map(K key, Text value, Context context) throws IOException, InterruptedException {
    // TODO Auto-generated method stub
    double doubleValue = Double.parseDouble(value.toString());
    double divValue = doubleValue / n;
    context.write(new Text("Mean"), new DoubleWritable(divValue));
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.SigmaMapper.java

License:Apache License

protected void map(K key, Text value, Context context) throws IOException {
    // TODO Auto-generated method stub
    double doubleValue = Double.parseDouble(value.toString());
    try {/*from w  ww . ja va2 s .c o m*/
        context.write(new Text("sigmax"), new DoubleWritable(doubleValue));
    } catch (InterruptedException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.SigmaSqMapper.java

License:Apache License

protected void map(K key, Text value, Context context) throws IOException, InterruptedException {
    // TODO Auto-generated method stub
    double doubleValue = Double.parseDouble(value.toString());
    double square = doubleValue * doubleValue;
    context.write(new Text("SigmaxSquare"), new DoubleWritable(square));
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.SigmaXYMapper.java

License:Apache License

protected void map(K key, Text value, Context context) throws IOException, InterruptedException {
    // TODO Auto-generated method stub
    String[] values = value.toString().split("\t");

    double x = Double.parseDouble(values[0]);
    double y = Double.parseDouble(values[1]);

    double longValue = x * y;
    context.write(new Text("sigmaxy"), new DoubleWritable(longValue));
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.SortMapper.java

License:Apache License

protected void map(K key, Text value, Context context) throws IOException {
    // TODO Auto-generated method stub
    double doubleValue = Double.parseDouble(value.toString());
    try {/*from w  w w  . j  av a2s.c o  m*/
        context.write(new DoubleWritable(doubleValue), new DoubleWritable(doubleValue));
    } catch (InterruptedException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
}

From source file:com.zinnia.nectar.regression.hadoop.primitive.mapreduce.YDiffMapper.java

License:Apache License

protected void map(K key, V value, Context context) throws IOException, InterruptedException {
    // TODO Auto-generated method stub
    String columnValues[] = value.toString().split("\t");
    double yCapValue = 0;
    double constant = Double.parseDouble(paramValues[0]);
    yCapValue += constant;//from www  .  j  av  a 2  s .co m
    for (int i = 0; i < columnValues.length - 1; i++) {
        double val = Double.parseDouble(columnValues[i]);
        double paramValue = Double.parseDouble(paramValues[i + 1]);
        yCapValue += (val * paramValue);
    }
    double yValue = Double.parseDouble(columnValues[columnValues.length - 1]);
    double yDiffValue = yCapValue - yValue;
    double yDiffSquare = yDiffValue * yDiffValue;
    context.write(new Text("ydiff"), new DoubleWritable(yDiffSquare));
}