use of org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector in project hive by apache.
the class TestVectorArithmeticExpressions method testDecimalColAddDecimalScalar.
/* Test decimal column to decimal scalar addition. This is used to cover all the
* cases used in the source code template ColumnArithmeticScalarDecimal.txt.
*/
@Test
public void testDecimalColAddDecimalScalar() {
VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
HiveDecimal d = HiveDecimal.create(1);
VectorExpression expr = new DecimalColAddDecimalScalar(0, d, 2);
// test without nulls
expr.evaluate(b);
DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("2.20")));
assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("-2.30")));
assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("1")));
// test null propagation
b = getVectorizedRowBatch3DecimalCols();
DecimalColumnVector in = (DecimalColumnVector) b.cols[0];
r = (DecimalColumnVector) b.cols[2];
in.noNulls = false;
in.isNull[0] = true;
expr.evaluate(b);
assertTrue(!r.noNulls);
assertTrue(r.isNull[0]);
// test repeating case, no nulls
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
in.isRepeating = true;
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertTrue(r.isRepeating);
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("2.20")));
// test repeating case for null value
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
in.isRepeating = true;
in.isNull[0] = true;
in.noNulls = false;
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertTrue(r.isRepeating);
assertTrue(!r.noNulls);
assertTrue(r.isNull[0]);
// test that overflow produces null
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
// set to max possible value
in.vector[0].set(HiveDecimal.create("9999999999999999.99"));
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertFalse(r.noNulls);
assertTrue(r.isNull[0]);
}
use of org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector in project hive by apache.
the class TestVectorArithmeticExpressions method testDecimalColDivideDecimalScalar.
/* Test decimal column to decimal scalar division. This is used to cover all the
* cases used in the source code template ColumnDivideScalarDecimal.txt.
* The template is used for division and modulo.
*/
@Test
public void testDecimalColDivideDecimalScalar() {
VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
HiveDecimal d = HiveDecimal.create("2.00");
VectorExpression expr = new DecimalColDivideDecimalScalar(0, d, 2);
// test without nulls
expr.evaluate(b);
DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("0.6")));
assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("-1.65")));
assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("0")));
// test null propagation
b = getVectorizedRowBatch3DecimalCols();
DecimalColumnVector in = (DecimalColumnVector) b.cols[0];
r = (DecimalColumnVector) b.cols[2];
in.noNulls = false;
in.isNull[0] = true;
expr.evaluate(b);
assertTrue(!r.noNulls);
assertTrue(r.isNull[0]);
// test repeating case, no nulls
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
in.isRepeating = true;
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertTrue(r.isRepeating);
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("0.6")));
// test repeating case for null value
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
in.isRepeating = true;
in.isNull[0] = true;
in.noNulls = false;
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertTrue(r.isRepeating);
assertTrue(!r.noNulls);
assertTrue(r.isNull[0]);
// test that zero-divide produces null for all output values
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
expr = new DecimalColDivideDecimalScalar(0, HiveDecimal.create("0"), 2);
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertFalse(r.noNulls);
assertTrue(r.isNull[0]);
assertTrue(r.isRepeating);
}
use of org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector in project hive by apache.
the class TestVectorArithmeticExpressions method testDecimalColModuloDecimalColumn.
// Spot check decimal column modulo decimal column
@Test
public void testDecimalColModuloDecimalColumn() {
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 DecimalColModuloDecimalColumn(0, 1, 2);
expr.evaluate(b);
DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("0.20")));
assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("-0.30")));
assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("0")));
}
use of org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector in project hive by apache.
the class TestVectorArithmeticExpressions method testDecimalScalarSubtractDecimalColumn.
/* Spot check correctness of decimal scalar subtract decimal column. The case for
* addition checks all the cases for the template, so don't do that redundantly here.
*/
@Test
public void testDecimalScalarSubtractDecimalColumn() {
VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
HiveDecimal d = HiveDecimal.create(1);
VectorExpression expr = new DecimalScalarSubtractDecimalColumn(d, 0, 2);
// test without nulls
expr.evaluate(b);
DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("-0.20")));
assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("4.30")));
assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("1")));
// test that overflow produces null
b = getVectorizedRowBatch3DecimalCols();
DecimalColumnVector in = (DecimalColumnVector) b.cols[0];
// set to min possible value
in.vector[0].set(HiveDecimal.create("-9999999999999999.99"));
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertFalse(r.noNulls);
assertTrue(r.isNull[0]);
}
use of org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector in project hive by apache.
the class TestVectorArithmeticExpressions method testDecimalScalarAddDecimalColumn.
/* Test decimal scalar to decimal column addition. This is used to cover all the
* cases used in the source code template ScalarArithmeticColumnDecimal.txt.
*/
@Test
public void testDecimalScalarAddDecimalColumn() {
VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
HiveDecimal d = HiveDecimal.create(1);
VectorExpression expr = new DecimalScalarAddDecimalColumn(d, 0, 2);
// test without nulls
expr.evaluate(b);
DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("2.20")));
assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("-2.30")));
assertTrue(r.vector[2].getHiveDecimal().equals(HiveDecimal.create("1")));
// test null propagation
b = getVectorizedRowBatch3DecimalCols();
DecimalColumnVector in = (DecimalColumnVector) b.cols[0];
r = (DecimalColumnVector) b.cols[2];
in.noNulls = false;
in.isNull[0] = true;
expr.evaluate(b);
assertTrue(!r.noNulls);
assertTrue(r.isNull[0]);
// test repeating case, no nulls
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
in.isRepeating = true;
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertTrue(r.isRepeating);
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("2.20")));
// test repeating case for null value
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
in.isRepeating = true;
in.isNull[0] = true;
in.noNulls = false;
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertTrue(r.isRepeating);
assertTrue(!r.noNulls);
assertTrue(r.isNull[0]);
// test that overflow produces null
b = getVectorizedRowBatch3DecimalCols();
in = (DecimalColumnVector) b.cols[0];
// set to max possible value
in.vector[0].set(HiveDecimal.create("9999999999999999.99"));
expr.evaluate(b);
r = (DecimalColumnVector) b.cols[2];
assertFalse(r.noNulls);
assertTrue(r.isNull[0]);
}
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