814c88fcb5
* initial attempt * adjust to new evaluation env * fix tests * fix typo * some numbers adjustments * Update calculate_average_zerninv.sh --------- Co-authored-by: Gunnar Morling <gunnar.morling@googlemail.com>
200 lines
7.0 KiB
Java
200 lines
7.0 KiB
Java
/*
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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.nio.MappedByteBuffer;
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import java.nio.channels.FileChannel;
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import java.nio.file.Path;
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import java.nio.file.StandardOpenOption;
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import java.util.*;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.Executors;
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import java.util.concurrent.Future;
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import java.util.stream.Collectors;
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public class CalculateAverage_zerninv {
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private static final String FILE = "./measurements.txt";
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private static final int MIN_FILE_SIZE = 1024 * 1024;
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private static final char DELIMITER = ';';
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private static final char LINE_SEPARATOR = '\n';
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private static final char ZERO = '0';
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private static final char NINE = '9';
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private static final char MINUS = '-';
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public static void main(String[] args) throws IOException {
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var results = new HashMap<String, MeasurementAggregation>();
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try (var channel = FileChannel.open(Path.of(FILE), StandardOpenOption.READ)) {
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var fileSize = channel.size();
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var cores = Runtime.getRuntime().availableProcessors();
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var chunks = cores - 1;
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var maxChunkSize = fileSize < MIN_FILE_SIZE ? fileSize : Math.min(fileSize / chunks, Integer.MAX_VALUE);
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var chunkOffsets = splitByChunks(channel, maxChunkSize);
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var executor = Executors.newFixedThreadPool(cores);
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List<Future<Map<String, MeasurementAggregation>>> fResults = new ArrayList<>();
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for (int i = 1; i < chunkOffsets.size(); i++) {
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final long prev = chunkOffsets.get(i - 1);
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final long curr = chunkOffsets.get(i);
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fResults.add(executor.submit(() -> calcForChunk(channel, prev, curr)));
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}
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fResults.forEach(f -> {
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try {
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f.get().forEach((key, value) -> {
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var result = results.get(key);
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if (result != null) {
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result.merge(value);
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}
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else {
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results.put(key, value);
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}
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});
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}
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catch (InterruptedException | ExecutionException e) {
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e.printStackTrace();
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}
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});
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executor.shutdown();
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}
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System.out.println(new TreeMap<>(results));
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}
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private static List<Long> splitByChunks(FileChannel channel, long maxChunkSize) throws IOException {
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long size = channel.size();
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List<Long> result = new ArrayList<>();
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long current = 0;
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result.add(current);
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while (current < size) {
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var mbb = channel.map(FileChannel.MapMode.READ_ONLY, current, Math.min(size - current, maxChunkSize));
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int position = mbb.limit() - 1;
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while (mbb.get(position) != LINE_SEPARATOR) {
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position--;
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}
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current += position + 1;
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result.add(current);
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}
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return result;
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}
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private static Map<String, MeasurementAggregation> calcForChunk(FileChannel channel, long begin, long end) throws IOException {
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var results = new HashMap<CityWrapper, MeasurementAggregation>(10_000);
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var mbb = channel.map(FileChannel.MapMode.READ_ONLY, begin, end - begin);
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int cityOffset, hashCode, temperatureOffset, temperature;
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byte b;
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while (mbb.hasRemaining()) {
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cityOffset = mbb.position();
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hashCode = 0;
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while ((b = mbb.get()) != DELIMITER) {
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hashCode = 31 * hashCode + b;
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}
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temperatureOffset = mbb.position();
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CityWrapper city = new CityWrapper(mbb, cityOffset, temperatureOffset - cityOffset - 1, hashCode);
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temperature = 0;
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while ((b = mbb.get()) != LINE_SEPARATOR) {
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if (b >= ZERO && b <= NINE) {
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temperature = temperature * 10 + (b - ZERO);
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}
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}
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if (mbb.get(temperatureOffset) == MINUS) {
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temperature *= -1;
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}
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var result = results.get(city);
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if (result != null) {
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result.addTemperature(temperature);
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}
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else {
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results.put(city, new MeasurementAggregation().addTemperature(temperature));
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}
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}
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return results.entrySet()
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.stream()
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.collect(Collectors.toMap(entry -> entry.getKey().toString(), Map.Entry::getValue));
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}
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private static final class MeasurementAggregation {
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private long sum;
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private int count;
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private int min = Integer.MAX_VALUE;
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private int max = Integer.MIN_VALUE;
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public MeasurementAggregation addTemperature(int temperature) {
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sum += temperature;
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count++;
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min = Math.min(temperature, min);
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max = Math.max(temperature, max);
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return this;
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}
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public void merge(MeasurementAggregation o) {
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if (o == null) {
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return;
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}
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sum += o.sum;
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count += o.count;
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min = Math.min(min, o.min);
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max = Math.max(max, o.max);
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}
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@Override
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public String toString() {
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return String.format("%.1f/%.1f/%.1f", min / 10d, sum / 10d / count, max / 10d);
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}
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}
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private record CityWrapper(MappedByteBuffer mbb, int begin, int size, int hash) {
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@Override
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public boolean equals(Object o) {
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if (this == o) {
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return true;
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}
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if (o == null || getClass() != o.getClass()) {
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return false;
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}
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CityWrapper that = (CityWrapper) o;
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if (hash != that.hash || size != that.size) {
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return false;
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}
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for (int i = 0; i < size; i++) {
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if (mbb.get(begin + i) != mbb.get(that.begin + i)) {
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return false;
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}
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}
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return true;
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}
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@Override
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public int hashCode() {
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return hash;
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}
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@Override
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public String toString() {
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byte[] arr = new byte[size];
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for (int i = 0; i < size; i++) {
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arr[i] = mbb.get(begin + i);
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}
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return new String(arr);
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}
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}
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}
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