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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.ql.exec.vector.expressions.gen;
import java.util.Arrays;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.expressions.DecimalUtil;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
import org.apache.hadoop.hive.common.type.HiveDecimal;
import org.apache.hadoop.hive.ql.metadata.HiveException;
/**
* Generated from template ColumnArithmeticScalarDecimal.txt, which covers binary arithmetic
* expressions between a column and a scalar.
*/
public class DecimalColSubtractDecimalScalar extends VectorExpression {
private static final long serialVersionUID = 1L;
private final int colNum;
private final HiveDecimal value;
public DecimalColSubtractDecimalScalar(int colNum, HiveDecimal value, int outputColumnNum) {
super(outputColumnNum);
this.colNum = colNum;
this.value = value;
}
public DecimalColSubtractDecimalScalar() {
super();
// Dummy final assignments.
colNum = -1;
value = null;
}
@Override
public void evaluate(VectorizedRowBatch batch) throws HiveException {
// return immediately if batch is empty
final int n = batch.size;
if (n == 0) {
return;
}
if (childExpressions != null) {
super.evaluateChildren(batch);
}
DecimalColumnVector inputColVector = (DecimalColumnVector) batch.cols[colNum];
DecimalColumnVector outputColVector = (DecimalColumnVector) batch.cols[outputColumnNum];
int[] sel = batch.selected;
boolean[] inputIsNull = inputColVector.isNull;
boolean[] outputIsNull = outputColVector.isNull;
// We do not need to do a column reset since we are carefully changing the output.
outputColVector.isRepeating = false;
HiveDecimalWritable[] vector = inputColVector.vector;
if (inputColVector.isRepeating) {
if (inputColVector.noNulls || !inputIsNull[0]) {
outputIsNull[0] = false;
// The following may override a "false" null setting if an error or overflow occurs.
DecimalUtil.subtractChecked(0, vector[0], value, outputColVector);
} else {
outputIsNull[0] = true;
outputColVector.noNulls = false;
}
outputColVector.isRepeating = true;
return;
}
if (inputColVector.noNulls) {
if (batch.selectedInUse) {
// CONSIDER: For large n, fill n or all of isNull array and use the tighter ELSE loop.
if (!outputColVector.noNulls) {
for(int j = 0; j != n; j++) {
final int i = sel[j];
outputIsNull[i] = false;
// The following may override a "false" null setting if an error or overflow occurs.
DecimalUtil.subtractChecked(i, vector[i], value, outputColVector);
}
} else {
for(int j = 0; j != n; j++) {
final int i = sel[j];
// The following may override a "false" null setting if an error or overflow occurs.
DecimalUtil.subtractChecked(i, vector[i], value, outputColVector);
}
}
} else {
if (!outputColVector.noNulls) {
// Assume it is almost always a performance win to fill all of isNull so we can
// safely reset noNulls.
Arrays.fill(outputIsNull, false);
outputColVector.noNulls = true;
}
for(int i = 0; i != n; i++) {
// The following may override a "false" null setting if an error or overflow occurs.
DecimalUtil.subtractChecked(i, vector[i], value, outputColVector);
}
}
} else /* there are NULLs in the inputColVector */ {
/*
* Do careful maintenance of the outputColVector.noNulls flag.
*/
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
if (!inputIsNull[i]) {
outputIsNull[i] = false;
// The following may override a "false" null setting if an error or overflow occurs.
DecimalUtil.subtractChecked(i, vector[i], value, outputColVector);
} else {
outputIsNull[i] = true;
outputColVector.noNulls = false;
}
}
} else {
for(int i = 0; i != n; i++) {
if (!inputIsNull[i]) {
outputIsNull[i] = false;
// The following may override a "false" null setting if an error or overflow occurs.
DecimalUtil.subtractChecked(i, vector[i], value, outputColVector);
} else {
outputIsNull[i] = true;
outputColVector.noNulls = false;
}
}
}
}
}
@Override
public String vectorExpressionParameters() {
return getColumnParamString(0, colNum) + ", val " + value.toString();
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(2)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.getType("decimal"),
VectorExpressionDescriptor.ArgumentType.getType("decimal"))
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN,
VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
}
}
