/* (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!! } }