Examples of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector

Package org.apache.hadoop.hive.ql.exec.vector

Examples of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector

org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector
This class represents a nullable double precision floating point column vector. This class will be used for operations on all floating point types (float, double) and as such will use a 64-bit double value to hold the biggest possible value. During copy-in/copy-out, smaller types (i.e. float) will be converted as needed. This will reduce the amount of code that needs to be generated and also will run fast since the machine operates with 64-bit words. The vector[] field is public by design for high-performance access in the inner loop of query execution.

  @Test
  public void testVectorLogBase() {


    // test double->double version
    VectorizedRowBatch b = getVectorizedRowBatchDoubleInDoubleOut();
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new FuncLogWithBaseDoubleToDouble(10.0, 0, 1);
    ((ISetDoubleArg) expr).setArg(10.0d);  // set base
    expr.evaluate(b);
    Assert.assertTrue(equalsWithinTolerance(Math.log(0.5d) / Math.log(10), resultV.vector[4]));

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  @Test
  public void testVectorPosMod() {


    // test double->double version
    VectorizedRowBatch b = getVectorizedRowBatchDoubleInDoubleOut();
    DoubleColumnVector inV = (DoubleColumnVector) b.cols[0];
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    inV.vector[4] = -4.0;
    VectorExpression expr = new PosModDoubleToDouble(0, 0.3d, 1);
    //((ISetDoubleArg) expr).setArg(0.3d);  // set base
    expr.evaluate(b);

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  }


  @Test
  public void testVectorPower() {
    VectorizedRowBatch b = getVectorizedRowBatchDoubleInDoubleOut();
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new FuncPowerDoubleToDouble(0, 2.0, 1);
    ((ISetDoubleArg) expr).setArg(2.0d);  // set power
    expr.evaluate(b);
    Assert.assertTrue(equalsWithinTolerance(0.5d * 0.5d, resultV.vector[4]));

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  }


  @Test
  public void testVectorSqrt() {
    VectorizedRowBatch b = getVectorizedRowBatchDoubleInDoubleOut();
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new FuncSqrtDoubleToDouble(0, 1);
    expr.evaluate(b);
    Assert.assertEquals(Math.sqrt(0.5d), resultV.vector[4]);
  }

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  @Test
  public void testVectorAbs() {


    // test double->double version
    VectorizedRowBatch b = getVectorizedRowBatchDoubleInDoubleOut();
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new FuncAbsDoubleToDouble(0, 1);
    expr.evaluate(b);
    Assert.assertEquals(1.5, resultV.vector[0]);
    Assert.assertEquals(0.5, resultV.vector[4]);

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  @Test
  public void testVectorSign() {


    // test double->double version
    VectorizedRowBatch b = getVectorizedRowBatchDoubleInDoubleOut();
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new FuncSignDoubleToDouble(0, 1);
    expr.evaluate(b);
    Assert.assertEquals(-1.0d, resultV.vector[0]);
    Assert.assertEquals(1.0d, resultV.vector[4]);

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    }
    return null;
  }


  private void testWriterDouble(TypeInfo type) throws HiveException {
    DoubleColumnVector dcv = VectorizedRowGroupGenUtil.generateDoubleColumnVector(true, false,
        this.vectorSize, new Random(10));
    dcv.isNull[2] = true;
    VectorExpressionWriter vew = getWriter(type);
    for (int i = 0; i < vectorSize; i++) {
      Writable w = (Writable) vew.writeValue(dcv, i);

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      }
    }
  }
  
  private void testSetterDouble(TypeInfo type) throws HiveException {
    DoubleColumnVector dcv = VectorizedRowGroupGenUtil.generateDoubleColumnVector(true, false,
        this.vectorSize, new Random(10));
    dcv.isNull[2] = true;
    Object[] values = new Object[this.vectorSize];
    
    VectorExpressionWriter vew = getWriter(type);

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  private static final long MICROS_PER_SECOND = 1000000;


  @Test
  public void testVectorCastLongToDouble() {
    VectorizedRowBatch b = TestVectorMathFunctions.getVectorizedRowBatchLongInDoubleOut();
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new CastLongToDouble(0, 1);
    expr.evaluate(b);
    Assert.assertEquals(2.0, resultV.vector[4]);
  }

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  @Test
  public void testCastTimestampToDouble() {
    VectorizedRowBatch b = TestVectorMathFunctions.getVectorizedRowBatchLongInDoubleOut();
    LongColumnVector inV = (LongColumnVector) b.cols[0];
    DoubleColumnVector resultV = (DoubleColumnVector) b.cols[1];
    b.cols[0].noNulls = true;
    VectorExpression expr = new CastTimestampToDoubleViaLongToDouble(0, 1);
    expr.evaluate(b);
    Assert.assertEquals(-1E-9D , resultV.vector[1]);
    Assert.assertEquals(1E-9D, resultV.vector[3]);

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