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.

    VectorizedRowBatch batch = getVectorizedRowBatch2LongInDoubleOut();
    LongColDivideLongColumn expr = new LongColDivideLongColumn(0, 1, 2);
    batch.cols[0].isNull[1] = true;
    batch.cols[0].noNulls = false;
    batch.cols[1].noNulls = false;
    DoubleColumnVector out = (DoubleColumnVector) batch.cols[2];


    // Set so we can verify they are reset by operation
    out.noNulls = true;
    out.isRepeating = true;

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    return lcv;
  }


  public static DoubleColumnVector generateDoubleColumnVector(boolean nulls,
      boolean repeating, int size, Random rand) {
    DoubleColumnVector dcv = new DoubleColumnVector(size);


    dcv.noNulls = !nulls;
    dcv.isRepeating = repeating;


    double repeatingValue;

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            bcv.length[row] = bytes.length;
          }
        };
      } else if (types[i].equalsIgnoreCase("double") ||
          types[i].equalsIgnoreCase("float")) {
        batch.cols[i] = new DoubleColumnVector(batchSize);
        columnAssign[i] = new ColumnVectorAssign() {
          @Override
          public void assign(
              ColumnVector columnVector,
              int row,
              Object value) {
            DoubleColumnVector dcv = (DoubleColumnVector) columnVector;
            dcv.vector[row] = Double.valueOf(value.toString());
          }
        };
      } else if (types[i].toLowerCase().startsWith("decimal")) {
            Pattern decimalPattern = Pattern.compile(

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    int size = 20;
    VectorizedRowBatch vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(size, 4, 0);


    LongColumnVector lcv = (LongColumnVector) vrg.cols[0];
    DoubleColumnVector dcv = new DoubleColumnVector(size);
    BytesColumnVector bcv = new BytesColumnVector(size);
    DecimalColumnVector dv = new DecimalColumnVector(5, 1);
    vrg.cols[1] = dcv;
    vrg.cols[2] = bcv;
    vrg.cols[3] = dv;

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    lv.vector[2] = 1;
    lv.vector[3] = 1;
    batch.cols[0] = lv;


    // set second argument to IF
    DoubleColumnVector v = new DoubleColumnVector();
    v.vector[0] = -1;
    v.vector[1] = -2;
    v.vector[2] = -3;
    v.vector[3] = -4;
    batch.cols[1] = v;


    // set third argument to IF
    v = new DoubleColumnVector();
    v.vector[0] = 1;
    v.vector[1] = 2;
    v.vector[2] = 3;
    v.vector[3] = 4;
    batch.cols[2] = v;


    // set output column
    batch.cols[3] = new DoubleColumnVector();


    batch.size = 4;
    return batch;
  }

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    VectorizedRowBatch batch = getBatch1Long3DoubleVectors();
    VectorExpression expr = new IfExprDoubleColumnDoubleColumn(0, 1, 2, 3);
    expr.evaluate(batch);


    // get result vector
    DoubleColumnVector r = (DoubleColumnVector) batch.cols[3];


    // verify standard case
    assertEquals(true, 1d == r.vector[0]);
    assertEquals(true, 2d == r.vector[1]);
    assertEquals(true, -3d == r.vector[2]);

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  @Test
  public void testDoubleScalarScalarIfExpr() {
    VectorizedRowBatch batch = getBatch1Long3DoubleVectors();
    VectorExpression expr = new IfExprDoubleScalarDoubleScalar(0, 100.0d, 200.0d, 3);
    DoubleColumnVector r = (DoubleColumnVector) batch.cols[3];
    expr.evaluate(batch);
    assertEquals(true, 200d == r.vector[0]);
    assertEquals(true, 200d == r.vector[1]);
    assertEquals(true, 100d == r.vector[2]);
    assertEquals(true, 100d == r.vector[3]);

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  @Test
  public void testDoubleScalarColumnIfExpr() {
    VectorizedRowBatch batch = getBatch1Long3DoubleVectors();
    VectorExpression expr = new IfExprDoubleScalarDoubleColumn(0, 100.0d, 2, 3);
    DoubleColumnVector r = (DoubleColumnVector) batch.cols[3];
    expr.evaluate(batch);
    assertEquals(true, 1d == r.vector[0]);
    assertEquals(true, 2d == r.vector[1]);
    assertEquals(true, 100d == r.vector[2]);
    assertEquals(true, 100d == r.vector[3]);

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  @Test
  public void testDoubleColumnScalarIfExpr() {
    VectorizedRowBatch batch = getBatch1Long3DoubleVectors();
    VectorExpression expr = new IfExprDoubleColumnDoubleScalar(0, 1, 200d, 3);
    DoubleColumnVector r = (DoubleColumnVector) batch.cols[3];
    expr.evaluate(batch);
    assertEquals(true, 200d == r.vector[0]);
    assertEquals(true, 200d == r.vector[1]);
    assertEquals(true, -3d == r.vector[2]);
    assertEquals(true, -4d == r.vector[3]);

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  }


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

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