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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;
/**
* This expression selects a row if the given boolean column is true.
*/
public class SelectColumnIsTrue extends VectorExpression {
private static final long serialVersionUID = 1L;
private int colNum1;
public SelectColumnIsTrue(int colNum1) {
this();
this.colNum1 = colNum1;
}
public SelectColumnIsTrue() {
super();
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1];
int[] sel = batch.selected;
int n = batch.size;
long[] vector1 = inputColVector1.vector;
boolean[] nullVector = inputColVector1.isNull;
if (n <= 0) {
// Nothing to do
return;
}
if (inputColVector1.noNulls) {
if (inputColVector1.isRepeating) {
if (vector1[0] == 0) {
// All are filtered out
batch.size = 0;
return;
} else {
// All are selected
return;
}
} else if (batch.selectedInUse) {
int newSize = 0;
for (int j = 0; j != n; j++) {
int i = sel[j];
if (vector1[i] == 1) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
int newSize = 0;
for (int i = 0; i != n; i++) {
if (vector1[i] == 1) {
sel[newSize++] = i;
}
}
if (newSize < n) {
batch.selectedInUse = true;
batch.size = newSize;
}
}
} else {
if (inputColVector1.isRepeating) {
if (nullVector[0] || (vector1[0] == 0)) {
// All are filtered
batch.size = 0;
return;
} else {
// All are selected
return;
}
} else if (batch.selectedInUse) {
int newSize = 0;
for (int j = 0; j != n; j++) {
int i = sel[j];
if (vector1[i] == 1 && !nullVector[i]) {
sel[newSize++] = i;
}
}
batch.size = newSize;
} else {
int newSize = 0;
for (int i = 0; i != n; i++) {
if (vector1[i] == 1 && !nullVector[i]) {
sel[newSize++] = i;
}
}
if (newSize < n) {
batch.selectedInUse = true;
batch.size = newSize;
}
}
}
}
@Override
public int getOutputColumn() {
return -1;
}
@Override
public String getOutputType() {
return "boolean";
}
public int getColNum1() {
return colNum1;
}
public void setColNum1(int colNum1) {
this.colNum1 = colNum1;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder();
b.setMode(VectorExpressionDescriptor.Mode.FILTER)
.setNumArguments(1)
.setArgumentTypes(
VectorExpressionDescriptor.ArgumentType.INT_FAMILY)
.setInputExpressionTypes(
VectorExpressionDescriptor.InputExpressionType.COLUMN);
return b.build();
}
}