/** * 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; import java.util.ArrayList; import java.util.Collections; import java.util.HashSet; import java.util.Set; import com.linkedin.pinot.core.query.utils.Pair; public class DistinctCountFunction extends AggregationFunc { private static final String _name = "distinctcount"; public DistinctCountFunction(ResultTable rows, String column) { super(rows, column); } @Override public ResultTable run() { Set<String> distinctSet = new HashSet<>(); for (ResultTable.Row row : _rows) { Object object = row.get(_column, _name); if (object instanceof HashSet) { Set<String> existingSet = (HashSet<String>) object; distinctSet.addAll(existingSet); } else { String value = row.get(_column, _name).toString(); if (!distinctSet.contains(value)) { distinctSet.add(value); } } } ResultTable resultTable = new ResultTable(new ArrayList<Pair>(), 1); resultTable.add(0, distinctSet); return resultTable; } }