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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.ColumnVector;
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;
/**
* This expression evaluates to true if the given input columns is null.
* The boolean output is stored in the specified output column.
*/
public class IsNull extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum;
private int outputColumn;
public IsNull(int colNum, int outputColumn) {
this();
this.colNum = colNum;
this.outputColumn = outputColumn;
}
public IsNull() {
super();
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
ColumnVector inputColVector = batch.cols[colNum];
int[] sel = batch.selected;
boolean[] nullPos = inputColVector.isNull;
int n = batch.size;
long[] outputVector = ((LongColumnVector) batch.cols[outputColumn]).vector;
if (n <= 0) {
// Nothing to do, this is EOF
return;
}
// output never has nulls for this operator
batch.cols[outputColumn].noNulls = true;
if (inputColVector.noNulls) {
outputVector[0] = 0;
batch.cols[outputColumn].isRepeating = true;
} else if (inputColVector.isRepeating) {
outputVector[0] = nullPos[0] ? 1 : 0;
batch.cols[outputColumn].isRepeating = true;
} else {
if (batch.selectedInUse) {
for (int j = 0; j != n; j++) {
int i = sel[j];
outputVector[i] = nullPos[i] ? 1 : 0;
}
} else {
for (int i = 0; i != n; i++) {
outputVector[i] = nullPos[i] ? 1 : 0;
}
}
batch.cols[outputColumn].isRepeating = false;
}
}
@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() {
VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder();
b.setMode(VectorExpressionDescriptor.Mode.PROJECTION)
.setNumArguments(1)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.ALL_FAMILY)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN);
return b.build();
}
}