org.apache.hadoop.hive.ql.exec.vector.expressions.VectorCoalesce 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.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;
import java.util.Arrays;
/**
* This expression returns the value of the first non-null expression
* in the given set of inputs expressions.
*/
public class VectorCoalesce extends VectorExpression {
private static final long serialVersionUID = 1L;
private int [] inputColumns;
private int outputColumn;
public VectorCoalesce(int [] inputColumns, int outputColumn) {
this();
this.inputColumns = inputColumns;
this.outputColumn = outputColumn;
}
public VectorCoalesce() {
super();
}
@Override
public void evaluate(VectorizedRowBatch batch) {
if (childExpressions != null) {
super.evaluateChildren(batch);
}
int[] sel = batch.selected;
int n = batch.size;
ColumnVector outputVector = batch.cols[outputColumn];
if (n <= 0) {
// Nothing to do
return;
}
outputVector.init();
outputVector.noNulls = false;
outputVector.isRepeating = false;
if (batch.selectedInUse) {
for (int j = 0; j != n; j++) {
int i = sel[j];
outputVector.isNull[i] = true;
for (int k = 0; k < inputColumns.length; k++) {
ColumnVector cv = batch.cols[inputColumns[k]];
if ( (cv.isRepeating) && (cv.noNulls || !cv.isNull[0])) {
outputVector.isNull[i] = false;
outputVector.setElement(i, 0, cv);
break;
} else if ((!cv.isRepeating) && (cv.noNulls || !cv.isNull[i])) {
outputVector.isNull[i] = false;
outputVector.setElement(i, i, cv);
break;
}
}
}
} else {
for (int i = 0; i != n; i++) {
outputVector.isNull[i] = true;
for (int k = 0; k < inputColumns.length; k++) {
ColumnVector cv = batch.cols[inputColumns[k]];
if ((cv.isRepeating) && (cv.noNulls || !cv.isNull[0])) {
outputVector.isNull[i] = false;
outputVector.setElement(i, 0, cv);
break;
} else if ((!cv.isRepeating) && (cv.noNulls || !cv.isNull[i])) {
outputVector.isNull[i] = false;
outputVector.setElement(i, i, cv);
break;
}
}
}
}
}
@Override
public int getOutputColumn() {
return outputColumn;
}
@Override
public String getOutputType() {
return outputType;
}
public int [] getInputColumns() {
return inputColumns;
}
public void setInputColumns(int [] inputColumns) {
this.inputColumns = inputColumns;
}
public void setOutputColumn(int outputColumn) {
this.outputColumn = outputColumn;
}
@Override
public VectorExpressionDescriptor.Descriptor getDescriptor() {
// Descriptor is not defined because it takes variable number of arguments with different
// data types.
throw new UnsupportedOperationException("Undefined descriptor");
}
}