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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.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
/**
* Output a boolean value indicating if a column is IN a list of constants.
*/
public class LongColumnInList extends VectorExpression implements ILongInExpr {
private static final long serialVersionUID = 1L;
private int colNum;
private int outputColumn;
private long[] inListValues;
// The set object containing the IN list. This is optimized for lookup
// of the data type of the column.
private transient CuckooSetLong inSet;
public LongColumnInList(int colNum, int outputColumn) {
this.colNum = colNum;
this.outputColumn = outputColumn;
}
public LongColumnInList() {
super();
inSet = null;
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
if (inSet == null) {
inSet = new CuckooSetLong(inListValues.length);
inSet.load(inListValues);
}
LongColumnVector inputColVector = (LongColumnVector) batch.cols[colNum];
LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn];
int[] sel = batch.selected;
boolean[] nullPos = inputColVector.isNull;
boolean[] outNulls = outputColVector.isNull;
int n = batch.size;
long[] vector = inputColVector.vector;
long[] outputVector = outputColVector.vector;
// return immediately if batch is empty
if (n == 0) {
return;
}
outputColVector.isRepeating = false;
outputColVector.noNulls = inputColVector.noNulls;
if (inputColVector.noNulls) {
if (inputColVector.isRepeating) {
// All must be selected otherwise size would be zero
// Repeating property will not change.
outputVector[0] = inSet.lookup(vector[0]) ? 1 : 0;
outputColVector.isRepeating = true;
} else if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
} else {
for(int i = 0; i != n; i++) {
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
} else {
if (inputColVector.isRepeating) {
// All must be selected otherwise size would be zero
// Repeating property will not change.
if (!nullPos[0]) {
outputVector[0] = inSet.lookup(vector[0]) ? 1 : 0;
outNulls[0] = false;
} else {
outNulls[0] = true;
}
outputColVector.isRepeating = true;
} else if (batch.selectedInUse) {
for(int j = 0; j != n; j++) {
int i = sel[j];
outNulls[i] = nullPos[i];
if (!nullPos[i]) {
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
} else {
System.arraycopy(nullPos, 0, outNulls, 0, n);
for(int i = 0; i != n; i++) {
if (!nullPos[i]) {
outputVector[i] = inSet.lookup(vector[i]) ? 1 : 0;
}
}
}
}
}
@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;
}
public long[] getInListValues() {
return this.inListValues;
}
public void setInListValues(long [] a) {
this.inListValues = a;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
// return null since this will be handled as a special case in VectorizationContext
return null;
}
}