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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;
import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
/**
* This is a superclass for unary double functions and expressions returning decimals that
* operate directly on the input and set the output.
*/
public abstract class FuncDoubleToDecimal extends VectorExpression {
private static final long serialVersionUID = 1L;
int inputColumn;
int outputColumn;
public FuncDoubleToDecimal(int inputColumn, int outputColumn) {
this.inputColumn = inputColumn;
this.outputColumn = outputColumn;
this.outputType = "decimal";
}
public FuncDoubleToDecimal() {
super();
this.outputType = "decimal";
}
abstract protected void func(DecimalColumnVector outV, DoubleColumnVector inV, int i);
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
DoubleColumnVector inV = (DoubleColumnVector) batch.cols[inputColumn];
int[] sel = batch.selected;
int n = batch.size;
DecimalColumnVector outV = (DecimalColumnVector) batch.cols[outputColumn];
if (n == 0) {
// Nothing to do
return;
}
if (inV.noNulls) {
outV.noNulls = true;
if (inV.isRepeating) {
outV.isRepeating = true;
func(outV, inV, 0);
} else if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
func(outV, inV, i);
}
outV.isRepeating = false;
} else {
for(int i = 0; i != n; i++) {
func(outV, inV, i);
}
outV.isRepeating = false;
}
} else {
// Handle case with nulls. Don't do function if the value is null,
// because the data may be undefined for a null value.
outV.noNulls = false;
if (inV.isRepeating) {
outV.isRepeating = true;
outV.isNull[0] = inV.isNull[0];
if (!inV.isNull[0]) {
func(outV, inV, 0);
}
} else if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
outV.isNull[i] = inV.isNull[i];
if (!inV.isNull[i]) {
func(outV, inV, i);
}
}
outV.isRepeating = false;
} else {
System.arraycopy(inV.isNull, 0, outV.isNull, 0, n);
for(int i = 0; i != n; i++) {
if (!inV.isNull[i]) {
func(outV, inV, i);
}
}
outV.isRepeating = false;
}
}
}
@Override
public int getOutputColumn() {
return outputColumn;
}
public void setOutputColumn(int outputColumn) {
this.outputColumn = outputColumn;
}
public int getInputColumn() {
return inputColumn;
}
public void setInputColumn(int inputColumn) {
this.inputColumn = inputColumn;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder();
b.setMode(VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(1)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.FLOAT_FAMILY)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN);
return b.build();
}
}