org.apache.hadoop.hive.ql.exec.vector.expressions.NotCol Maven / Gradle / Ivy
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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.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
/**
* Evaluates the boolean complement of the input.
*/
public class NotCol extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum;
private int outputColumn;
public NotCol(int colNum, int outputColumn) {
this();
this.colNum = colNum;
this.outputColumn = outputColumn;
}
public NotCol() {
super();
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
LongColumnVector inputColVector = (LongColumnVector) batch.cols[colNum];
int[] sel = batch.selected;
int n = batch.size;
long[] vector = inputColVector.vector;
LongColumnVector outV = (LongColumnVector) batch.cols[outputColumn];
long[] outputVector = outV.vector;
if (n <= 0) {
// Nothing to do, this is EOF
return;
}
if (inputColVector.noNulls) {
outV.noNulls = true;
if (inputColVector.isRepeating) {
outV.isRepeating = true;
// mask out all but low order bit with "& 1" so NOT 1 yields 0, NOT 0 yields 1
outputVector[0] = ~vector[0] & 1;
} else if (batch.selectedInUse) {
for (int j = 0; j != n; j++) {
int i = sel[j];
outputVector[i] = ~vector[i] & 1;
}
outV.isRepeating = false;
} else {
for (int i = 0; i != n; i++) {
outputVector[i] = ~vector[i] & 1;
}
outV.isRepeating = false;
}
} else {
outV.noNulls = false;
if (inputColVector.isRepeating) {
outV.isRepeating = true;
outputVector[0] = ~vector[0] & 1;
outV.isNull[0] = inputColVector.isNull[0];
} else if (batch.selectedInUse) {
outV.isRepeating = false;
for (int j = 0; j != n; j++) {
int i = sel[j];
outputVector[i] = ~vector[i] & 1;
outV.isNull[i] = inputColVector.isNull[i];
}
} else {
outV.isRepeating = false;
for (int i = 0; i != n; i++) {
outputVector[i] = ~vector[i] & 1;
outV.isNull[i] = inputColVector.isNull[i];
}
}
}
}
@Override
public int getOutputColumn() {
return outputColumn;
}
@Override
public String getOutputType() {
return "boolean";
}
public int getColNum() {
return colNum;
}
public void setColNum(int colNum) {
this.colNum = colNum;
}
public void setOutputColumn(int outputColumn) {
this.outputColumn = outputColumn;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
return (new VectorExpressionDescriptor.Builder())
.setMode(
VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(1)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.INT_FAMILY)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN).build();
}
}