54 lines
2.0 KiB
Java
54 lines
2.0 KiB
Java
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/*
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* Copyright 2023 The original authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package dev.morling.onebrc;
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import java.io.IOException;
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import java.util.concurrent.ConcurrentSkipListMap;
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import java.util.concurrent.ConcurrentMap;
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import java.nio.file.Files;
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import java.nio.file.Paths;
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import java.util.stream.Stream;
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public class CalculateAverage_ivanklaric {
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private static final String FILE = "measurements.txt";
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record CityTemps (double min, double max, double sum, long count) {
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public String toString() {
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return round(min) + "/" + round(sum / count) + "/" + round(max);
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}
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private double round(double num) {
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return Math.round(num * 10.0) / 10.0;
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}
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}
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public static void main(String[] args) throws IOException {
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Stream<String> lines = Files.lines(Paths.get(FILE));
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ConcurrentMap<String, CityTemps> cityStats = new ConcurrentSkipListMap<>();
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lines.parallel().forEach(line -> {
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int splitterLoc = line.indexOf(';');
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double temp = Double.parseDouble(line.substring(splitterLoc + 1, line.length()));
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cityStats.merge(line.substring(0, splitterLoc), new CityTemps(temp, temp, temp, 1),
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(oldValue, defaultValue) -> {
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return new CityTemps(Math.min(oldValue.min, temp), Math.max(oldValue.max, temp), oldValue.sum + temp, oldValue.count + 1);
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});
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});
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System.out.println(cityStats);
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}
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}
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