/**
* Copyright (C) 2014-2016 LinkedIn Corp. (pinot-core@linkedin.com)
*
* 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.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.linkedin.pinot.tools.scan.query;
public class AggregationFuncFactory {
private static final String COUNT = "COUNT";
private static final String MIN = "MIN";
private static final String MAX = "MAX";
private static final String SUM = "SUM";
private static final String AVG = "AVG";
private static final String MINMAXRANGE = "MINMAXRANGE";
private static final String DISTINCT_COUNT = "DISTINCTCOUNT";
public static AggregationFunc getAggregationFunc(ResultTable rows, String column, String functionName) {
switch (functionName.toUpperCase()) {
case COUNT:
return new CountFunction(rows, column);
case MIN:
return new MinFunction(rows, column);
case MAX:
return new MaxFunction(rows, column);
case SUM:
return new SumFunction(rows, column);
case AVG:
return new AvgFunction(rows, column);
case MINMAXRANGE:
return new MinMaxRangeFunction(rows, column);
case DISTINCT_COUNT:
return new DistinctCountFunction(rows, column);
default:
throw new RuntimeException("Unsupported aggregation function " + functionName);
}
}
}