Examples with DoubleColumnVector org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector used on opensource projects

Example 21 with DoubleColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector in project hive by apache.

the class TestVectorConditionalExpressions method testDoubleColumnScalarIfExpr.

@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]);
}

Example 22 with DoubleColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector in project hive by apache.

the class TestVectorConditionalExpressions method getBatch1Long3DoubleVectors.

private VectorizedRowBatch getBatch1Long3DoubleVectors() {
    VectorizedRowBatch batch = new VectorizedRowBatch(4);
    LongColumnVector lv = new LongColumnVector();
    // set first argument to IF -- boolean flag
    lv.vector[0] = 0;
    lv.vector[1] = 0;
    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;
}

Example 23 with DoubleColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector in project hive by apache.

the class TestVectorConditionalExpressions method testDoubleScalarColumnIfExpr.

@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]);
}

Example 24 with DoubleColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector in project hive by apache.

the class TestVectorArithmeticExpressions method testLongColDivideLongColumn.

@Test
public void testLongColDivideLongColumn() {
    /* Testing for equality of doubles after a math operation is
     * not always reliable so use this as a tolerance.
     */
    final double eps = 1e-7d;
    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;
    expr.evaluate(batch);
    // 0/0 for entry 0 should work but generate NaN
    assertFalse(out.noNulls);
    assertTrue(out.isNull[0]);
    assertTrue(Double.isNaN(out.vector[0]));
    // verify NULL output in entry 1 is correct
    assertTrue(out.isNull[1]);
    assertTrue(Double.isNaN(out.vector[1]));
    // check entries beyond first 2
    for (int i = 2; i != batch.size; i++) {
        assertTrue(out.vector[i] > 1.0d - eps && out.vector[i] < 1.0d + eps);
    }
    assertFalse(out.noNulls);
    assertFalse(out.isRepeating);
}

Example 25 with DoubleColumnVector

use of org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector in project hive by apache.

the class VectorizedRowGroupGenUtil method generateDoubleColumnVector.

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;
    do {
        repeatingValue = rand.nextDouble();
    } while (repeatingValue == 0);
    int nullFrequency = generateNullFrequency(rand);
    for (int i = 0; i < size; i++) {
        if (nulls && (repeating || i % nullFrequency == 0)) {
            dcv.isNull[i] = true;
            dcv.vector[i] = DOUBLE_VECTOR_NULL_VALUE;
        } else {
            dcv.isNull[i] = false;
            dcv.vector[i] = repeating ? repeatingValue : rand.nextDouble();
            if (dcv.vector[i] == 0) {
                i--;
            }
        }
    }
    return dcv;
}