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-rw-r--r--src/main/java/dev/morling/onebrc/CalculateAverage_baseline.java91
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diff --git a/src/main/java/dev/morling/onebrc/CalculateAverage_baseline.java b/src/main/java/dev/morling/onebrc/CalculateAverage_baseline.java
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+/*
+ * Copyright 2023 The original authors
+ *
+ * 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 dev.morling.onebrc;
+
+import static java.util.stream.Collectors.*;
+
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.Map;
+import java.util.TreeMap;
+import java.util.stream.Collector;
+
+public class CalculateAverage_baseline {
+
+ private static final String FILE = "./measurements.txt";
+
+ private static record Measurement(String station, double value) {
+ private Measurement(String[] parts) {
+ this(parts[0], Double.parseDouble(parts[1]));
+ }
+ }
+
+ private static record ResultRow(double min, double mean, double max) {
+ public String toString() {
+ return round(min) + "/" + round(mean) + "/" + round(max);
+ }
+
+ private double round(double value) {
+ return Math.round(value * 10.0) / 10.0;
+ }
+ };
+
+ private static class MeasurementAggregator {
+ private double min = Double.POSITIVE_INFINITY;
+ private double max = Double.NEGATIVE_INFINITY;
+ private double sum;
+ private long count;
+ }
+
+ public static void main(String[] args) throws IOException {
+ // Map<String, Double> measurements1 = Files.lines(Paths.get(FILE))
+ // .map(l -> l.split(";"))
+ // .collect(groupingBy(m -> m[0], averagingDouble(m -> Double.parseDouble(m[1]))));
+ //
+ // measurements1 = new TreeMap<>(measurements1.entrySet()
+ // .stream()
+ // .collect(toMap(e -> e.getKey(), e -> Math.round(e.getValue() * 10.0) / 10.0)));
+ // System.out.println(measurements1);
+
+ Collector<Measurement, MeasurementAggregator, ResultRow> collector = Collector.of(
+ MeasurementAggregator::new,
+ (a, m) -> {
+ a.min = Math.min(a.min, m.value);
+ a.max = Math.max(a.max, m.value);
+ a.sum += m.value;
+ a.count++;
+ },
+ (agg1, agg2) -> {
+ var res = new MeasurementAggregator();
+ res.min = Math.min(agg1.min, agg2.min);
+ res.max = Math.max(agg1.max, agg2.max);
+ res.sum = agg1.sum + agg2.sum;
+ res.count = agg1.count + agg2.count;
+
+ return res;
+ },
+ agg -> {
+ return new ResultRow(agg.min, agg.sum / agg.count, agg.max);
+ });
+
+ Map<String, ResultRow> measurements = new TreeMap<>(Files.lines(Paths.get(FILE))
+ .map(l -> new Measurement(l.split(";")))
+ .collect(groupingBy(m -> m.station(), collector)));
+
+ System.out.println(measurements);
+ }
+}