/* (c) 2014 LinkedIn Corp. All rights reserved.
*
* Licensed 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.
*/
package com.linkedin.cubert.operator.cube;
import com.linkedin.cubert.block.DataType;
import com.linkedin.cubert.operator.PreconditionException;
/**
* A memory-efficient implementation of [SUM, COUNT_TO_ONE] DupleCubeAggregator, for the
* special case when the aggregated column is known to be never null. For example, when
* the aggregated column is also the inner dimension.
*
* @author Maneesh Varshney
*
*/
public class CountDistinctCubeAggregator extends DefaultCubeAggregator implements
DupleCubeAggregator
{
public CountDistinctCubeAggregator(String colName) throws PreconditionException
{
super(ValueAggregatorFactory.get(ValueAggregationType.COUNT,
DataType.UNKNOWN,
colName));
}
@Override
public void innerAggregate(int index)
{
// do nothing!!
}
}