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

Example 51 with VectorizedRowBatch

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

the class TestVectorDateExpressions method testVectorUDFWeekOfYear.

@Test
public void testVectorUDFWeekOfYear() throws HiveException {
    VectorizedRowBatch batch = getVectorizedRowBatch(new int[] { 0 }, VectorizedRowBatch.DEFAULT_SIZE);
    Assert.assertTrue(((LongColumnVector) batch.cols[1]).noNulls);
    Assert.assertFalse(((LongColumnVector) batch.cols[1]).isRepeating);
    verifyUDFWeekOfYear(batch);
    TestVectorizedRowBatch.addRandomNulls(batch.cols[0]);
    verifyUDFWeekOfYear(batch);
    int[] boundaries = getAllBoundaries();
    batch = getVectorizedRowBatch(boundaries, boundaries.length);
    verifyUDFWeekOfYear(batch);
    TestVectorizedRowBatch.addRandomNulls(batch.cols[0]);
    verifyUDFWeekOfYear(batch);
    TestVectorizedRowBatch.addRandomNulls(batch.cols[1]);
    verifyUDFWeekOfYear(batch);
    batch = getVectorizedRowBatch(new int[] { 0 }, 1);
    batch.cols[0].isRepeating = true;
    verifyUDFWeekOfYear(batch);
    batch.cols[0].noNulls = false;
    batch.cols[0].isNull[0] = true;
    verifyUDFWeekOfYear(batch);
    batch = getVectorizedRandomRowBatch(200, VectorizedRowBatch.DEFAULT_SIZE);
    verifyUDFWeekOfYear(batch);
    TestVectorizedRowBatch.addRandomNulls(batch.cols[0]);
    verifyUDFWeekOfYear(batch);
    TestVectorizedRowBatch.addRandomNulls(batch.cols[1]);
    verifyUDFWeekOfYear(batch);
}

Example 52 with VectorizedRowBatch

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

the class TestUnaryMinus method testUnaryMinusCheckedOverflow.

@Test
public void testUnaryMinusCheckedOverflow() throws HiveException {
    VectorizedRowBatch vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(1, 2, 0);
    // set value to MIN_VALUE so that -MIN_VALUE overflows and gets set to MIN_VALUE again
    ((LongColumnVector) vrg.cols[0]).vector[0] = Integer.MIN_VALUE;
    LongColUnaryMinusChecked expr = new LongColUnaryMinusChecked(0, 1);
    expr.setOutputTypeInfo(TypeInfoFactory.getPrimitiveTypeInfo("int"));
    expr.evaluate(vrg);
    // verify
    long[] inVector = ((LongColumnVector) vrg.cols[0]).vector;
    long[] outVector = ((LongColumnVector) vrg.cols[1]).vector;
    for (int i = 0; i < outVector.length; i++) {
        assertEquals(Integer.MIN_VALUE, outVector[i]);
    }
}

Example 53 with VectorizedRowBatch

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

the class TestUnaryMinus method testUnaryMinus.

@Test
public void testUnaryMinus() throws HiveException {
    VectorizedRowBatch vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(1024, 2, 23);
    LongColUnaryMinus expr = new LongColUnaryMinus(0, 1);
    expr.evaluate(vrg);
    // verify
    long[] inVector = ((LongColumnVector) vrg.cols[0]).vector;
    long[] outVector = ((LongColumnVector) vrg.cols[1]).vector;
    for (int i = 0; i < outVector.length; i++) {
        assertEquals(0, inVector[i] + outVector[i]);
    }
}

Example 54 with VectorizedRowBatch

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

the class TestVectorArithmeticExpressions method testDecimalColDivideDecimalColumn.

@Test
public void testDecimalColDivideDecimalColumn() throws HiveException {
    VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
    DecimalColumnVector in1 = (DecimalColumnVector) b.cols[1];
    for (int i = 0; i < 3; i++) {
        in1.vector[i].set(HiveDecimal.create("0.50"));
    }
    VectorExpression expr = new DecimalColDivideDecimalColumn(0, 1, 2);
    expr.evaluate(b);
    DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
    // all divides are by 0.50 so the result column is 2 times col 0.
    assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("2.4")));
    assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("-6.6")));
    assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("0")));
    // test null on left
    b.cols[0].noNulls = false;
    b.cols[0].isNull[0] = true;
    expr.evaluate(b);
    assertFalse(r.noNulls);
    assertTrue(r.isNull[0]);
    // test null on right
    b = getVectorizedRowBatch3DecimalCols();
    b.cols[1].noNulls = false;
    b.cols[1].isNull[0] = true;
    r = (DecimalColumnVector) b.cols[2];
    expr.evaluate(b);
    assertFalse(r.noNulls);
    assertTrue(r.isNull[0]);
    // test null on both sides
    b = getVectorizedRowBatch3DecimalCols();
    b.cols[0].noNulls = false;
    b.cols[0].isNull[0] = true;
    b.cols[1].noNulls = false;
    b.cols[1].isNull[0] = true;
    expr.evaluate(b);
    assertFalse(r.noNulls);
    assertTrue(r.isNull[0]);
    assertFalse(r.isNull[1]);
    assertFalse(r.isNull[2]);
    // test repeating on left
    b = getVectorizedRowBatch3DecimalCols();
    b.cols[0].isRepeating = true;
    expr.evaluate(b);
    r = (DecimalColumnVector) b.cols[2];
    assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("1.2")));
    // test repeating on right
    b = getVectorizedRowBatch3DecimalCols();
    b.cols[1].isRepeating = true;
    expr.evaluate(b);
    r = (DecimalColumnVector) b.cols[2];
    assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("0")));
    // test both repeating
    b = getVectorizedRowBatch3DecimalCols();
    b.cols[0].isRepeating = true;
    b.cols[1].isRepeating = true;
    expr.evaluate(b);
    r = (DecimalColumnVector) b.cols[2];
    assertTrue(r.isRepeating);
    assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("1.2")));
    // test zero-divide to show it results in NULL
    b = getVectorizedRowBatch3DecimalCols();
    ((DecimalColumnVector) b.cols[1]).vector[0].set(HiveDecimal.create("0"));
    expr.evaluate(b);
    r = (DecimalColumnVector) b.cols[2];
    assertFalse(r.noNulls);
    assertTrue(r.isNull[0]);
}

Example 55 with VectorizedRowBatch

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

the class TestVectorArithmeticExpressions method longColAddLongColumnUtil.

private void longColAddLongColumnUtil(boolean isChecked) throws HiveException {
    int seed = 17;
    VectorizedRowBatch vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(VectorizedRowBatch.DEFAULT_SIZE, 6, seed);
    LongColumnVector lcv0 = (LongColumnVector) vrg.cols[0];
    LongColumnVector lcv1 = (LongColumnVector) vrg.cols[1];
    LongColumnVector lcv2 = (LongColumnVector) vrg.cols[2];
    LongColumnVector lcv3 = (LongColumnVector) vrg.cols[3];
    LongColumnVector lcv4 = (LongColumnVector) vrg.cols[4];
    LongColumnVector lcv5 = (LongColumnVector) vrg.cols[5];
    VectorExpression expr;
    if (isChecked) {
        expr = new LongColAddLongColumnChecked(0, 1, 2);
        expr.setOutputTypeInfo(TypeInfoFactory.getPrimitiveTypeInfo("bigint"));
    } else {
        expr = new LongColAddLongColumn(0, 1, 2);
    }
    expr.evaluate(vrg);
    for (int i = 0; i < VectorizedRowBatch.DEFAULT_SIZE; i++) {
        assertEquals((i + 1) * seed * 3, lcv2.vector[i]);
    }
    assertTrue(lcv2.noNulls);
    // Now set one column nullable
    lcv1.noNulls = false;
    lcv1.isNull[1] = true;
    // set output isRepeating to true to make sure it gets over-written
    lcv2.isRepeating = true;
    // similarly with noNulls
    lcv2.noNulls = true;
    expr.evaluate(vrg);
    assertTrue(lcv2.isNull[1]);
    assertFalse(lcv2.noNulls);
    assertFalse(lcv2.isRepeating);
    verifyLongNullDataVectorEntries(lcv2, vrg.selected, vrg.selectedInUse, vrg.size);
    // Now set other column nullable too
    lcv0.noNulls = false;
    lcv0.isNull[1] = true;
    lcv0.isNull[3] = true;
    expr.evaluate(vrg);
    assertTrue(lcv2.isNull[1]);
    assertTrue(lcv2.isNull[3]);
    assertFalse(lcv2.noNulls);
    verifyLongNullDataVectorEntries(lcv2, vrg.selected, vrg.selectedInUse, vrg.size);
    // Now test with repeating flag
    lcv3.isRepeating = true;
    VectorExpression expr2;
    if (isChecked) {
        expr2 = new LongColAddLongColumnChecked(3, 4, 5);
        expr2.setOutputTypeInfo(TypeInfoFactory.getPrimitiveTypeInfo("bigint"));
    } else {
        expr2 = new LongColAddLongColumn(3, 4, 5);
    }
    expr2.evaluate(vrg);
    for (int i = 0; i < VectorizedRowBatch.DEFAULT_SIZE; i++) {
        assertEquals(seed * (4 + 5 * (i + 1)), lcv5.vector[i]);
    }
    // Repeating with other as nullable
    lcv4.noNulls = false;
    lcv4.isNull[0] = true;
    expr2.evaluate(vrg);
    assertTrue(lcv5.isNull[0]);
    assertFalse(lcv5.noNulls);
    verifyLongNullDataVectorEntries(lcv5, vrg.selected, vrg.selectedInUse, vrg.size);
    // Repeating null value
    lcv3.isRepeating = true;
    lcv3.noNulls = false;
    lcv3.isNull[0] = true;
    expr2.evaluate(vrg);
    assertFalse(lcv5.noNulls);
    assertTrue(lcv5.isRepeating);
    assertTrue(lcv5.isNull[0]);
    verifyLongNullDataVectorEntries(lcv5, vrg.selected, vrg.selectedInUse, vrg.size);
    // Neither input has nulls. Verify that this propagates to output.
    vrg.selectedInUse = false;
    lcv0.noNulls = true;
    lcv1.noNulls = true;
    lcv0.isRepeating = false;
    lcv1.isRepeating = false;
    lcv2.reset();
    expr.evaluate(vrg);
    assertTrue(lcv2.noNulls);
    assertFalse(lcv2.isRepeating);
}