use of org.apache.hadoop.hive.ql.exec.vector.expressions.gen.DecimalScalarDivideDecimalColumn in project hive by apache.
the class TestVectorArithmeticExpressions method testDecimalScalarDivideDecimalColumn.
/* Test decimal scalar divided column. This tests the primary logic
* for template ScalarDivideColumnDecimal.txt.
*/
@Test
public void testDecimalScalarDivideDecimalColumn() {
VectorizedRowBatch b = getVectorizedRowBatch3DecimalCols();
// 1.20 * 3.30
HiveDecimal d = HiveDecimal.create("3.96");
VectorExpression expr = new DecimalScalarDivideDecimalColumn(d, 0, 2);
// test without nulls
expr.evaluate(b);
DecimalColumnVector r = (DecimalColumnVector) b.cols[2];
assertTrue(r.vector[0].getHiveDecimal().equals(HiveDecimal.create("3.3")));
assertTrue(r.vector[1].getHiveDecimal().equals(HiveDecimal.create("-1.2")));
// entry 2 is null due to zero-divide
assertFalse(r.noNulls);
assertTrue(r.isNull[2]);
// 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("3.3")));
// 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]);
}
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