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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 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.NullUtil;
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;
/**
* Generated from template ColumnArithmeticColumnDecimal.txt, which covers binary arithmetic
* expressions between a column and a scalar.
*/
public class DecimalColDivideDecimalColumn extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum1;
private int colNum2;
private int outputColumn;
public DecimalColDivideDecimalColumn(int colNum1, int colNum2, int outputColumn) {
this.colNum1 = colNum1;
this.colNum2 = colNum2;
this.outputColumn = outputColumn;
this.outputType = "decimal";
}
public DecimalColDivideDecimalColumn() {
this.outputType = "decimal";
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
DecimalColumnVector inputColVector1 = (DecimalColumnVector) batch.cols[colNum1];
DecimalColumnVector inputColVector2 = (DecimalColumnVector) batch.cols[colNum2];
DecimalColumnVector outputColVector = (DecimalColumnVector) batch.cols[outputColumn];
int[] sel = batch.selected;
int n = batch.size;
HiveDecimalWritable[] vector1 = inputColVector1.vector;
HiveDecimalWritable[] vector2 = inputColVector2.vector;
// return immediately if batch is empty
if (n == 0) {
return;
}
outputColVector.isRepeating =
inputColVector1.isRepeating && inputColVector2.isRepeating
|| inputColVector1.isRepeating && !inputColVector1.noNulls && inputColVector1.isNull[0]
|| inputColVector2.isRepeating && !inputColVector2.noNulls && inputColVector2.isNull[0];
if (inputColVector1.noNulls && inputColVector2.noNulls) {
/* Initialize output vector NULL values to false. This is necessary
* since the decimal operation may produce a NULL result even for
* a non-null input vector value, and convert the output vector
* to have noNulls = false;
*/
NullUtil.initOutputNullsToFalse(outputColVector,
inputColVector1.isRepeating && inputColVector2.isRepeating,
batch.selectedInUse, sel, n);
}
// Handle nulls first
NullUtil.propagateNullsColCol(
inputColVector1, inputColVector2, outputColVector, sel, n, batch.selectedInUse);
/* Disregard nulls for processing. In other words,
* the arithmetic operation is performed even if one or
* more inputs are null. This is to improve speed by avoiding
* conditional checks in the inner loop.
*/
if (inputColVector1.isRepeating && inputColVector2.isRepeating) {
DecimalUtil.divideChecked(0, vector1[0], vector2[0], outputColVector);
} else if (inputColVector1.isRepeating) {
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
DecimalUtil.divideChecked(i, vector1[0], vector2[i], outputColVector);
}
} else {
for(int i = 0; i != n; i++) {
DecimalUtil.divideChecked(i, vector1[0], vector2[i], outputColVector);
}
}
} else if (inputColVector2.isRepeating) {
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
DecimalUtil.divideChecked(i, vector1[i], vector2[0], outputColVector);
}
} else {
for(int i = 0; i != n; i++) {
DecimalUtil.divideChecked(i, vector1[i], vector2[0], outputColVector);
}
}
} else {
if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
DecimalUtil.divideChecked(i, vector1[i], vector2[i], outputColVector);
}
} else {
for(int i = 0; i != n; i++) {
DecimalUtil.divideChecked(i, vector1[i], vector2[i], outputColVector);
}
}
}
}
@Override
public int getOutputColumn() {
return outputColumn;
}
@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.COLUMN).build();
}
}
