170 lines
5.7 KiB
Java
170 lines
5.7 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.ByteBuffer;
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import java.nio.MappedByteBuffer;
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import java.nio.channels.FileChannel;
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import java.nio.charset.StandardCharsets;
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import java.nio.file.Paths;
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import java.nio.file.StandardOpenOption;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.TreeMap;
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public class CalculateAverage_manishgarg90 {
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private static final String FILE = "./measurements.txt";
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private static int nProcessors = Runtime.getRuntime().availableProcessors();
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public static void main(String[] args) throws IOException {
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try (FileChannel channel = FileChannel.open(Paths.get(FILE), StandardOpenOption.READ)) {
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long fileSize = channel.size();
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long chunkSize = (fileSize + nProcessors - 1) / nProcessors;
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long pos = 0;
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List<MappedByteBuffer> buffers = new ArrayList<>(nProcessors);
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for (int i = 0; i < nProcessors; i++) {
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long endPosition = getEndPosition(channel, pos + chunkSize);
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long size = endPosition - pos;
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MappedByteBuffer buffer = channel.map(FileChannel.MapMode.READ_ONLY, pos, size);
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pos = pos + size;
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buffers.add(buffer);
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}
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Map<String, Stat> s = readBufferAndCalculateMeauremenst(buffers);
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Map<String, Stat> tm = new TreeMap<String, Stat>(s);
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System.out.println(tm);
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}
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catch (IOException e) {
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e.printStackTrace();
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}
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}
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private static Map<String, Stat> readBufferAndCalculateMeauremenst(List<MappedByteBuffer> chunks) {
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return chunks.parallelStream().map(buffer -> {
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Map<String, Stat> map = new HashMap<>(10_000, 1);
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int lineStart = 0;
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int doubleStart = 0;
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int length = buffer.limit();
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String station = null;
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for (int i = 0; i < length; ++i) {
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byte b = buffer.get(i);
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if (b == ';') {
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byte[] stationBuffer = new byte[i - lineStart];
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buffer.position(lineStart);
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buffer.get(stationBuffer);
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station = new String(stationBuffer, StandardCharsets.UTF_8);
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doubleStart = i + 1;
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}
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else if (b == '\n') {
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byte[] doubleBuffer = new byte[i - doubleStart];
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buffer.position(doubleStart);
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buffer.get(doubleBuffer);
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Double temperature = Double.parseDouble(new String(doubleBuffer));
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lineStart = i + 1;
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// I have station name and temp
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Stat s = map.get(station);
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if (s == null) {
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map.put(station, new Stat(temperature));
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}
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else {
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s.update(temperature);
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}
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}
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}
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return map;
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}).reduce(new HashMap<>(), (map1, map2) -> {
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Stat s = new Stat();
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s.merge(map1);
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s.merge(map2);
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return s.getResultMap();
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});
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}
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private static long getEndPosition(FileChannel channel, long position) throws IOException {
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ByteBuffer buffer = ByteBuffer.allocate(1);
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while (position < channel.size()) {
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channel.read(buffer, position);
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if (buffer.get(0) == '\n') {
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return position + 1;
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}
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position++;
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buffer.clear();
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}
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return channel.size();
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}
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private static final class Stat {
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private Double min = Double.MAX_VALUE;
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private Double max = Double.MIN_VALUE;
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private Double sum = 0d;
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private long count = 0L;
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private Map<String, Stat> resultMap = null;
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public Stat() {
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this.resultMap = new HashMap<>(10_000, 1);
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}
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public Stat(Double value) {
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this.min = value;
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this.max = value;
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this.sum += value;
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this.count++;
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}
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private void update(Double value) {
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this.min = Math.min(this.min, value);
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this.max = Math.max(this.max, value);
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this.sum = round(this.sum + value);
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this.count++;
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}
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private void merge(Map<String, Stat> result) {
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result.forEach((city, resultRow) -> resultMap.merge(city, resultRow, (existing, incoming) -> {
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existing.min = Math.min(existing.min, incoming.min);
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existing.max = Math.max(existing.max, incoming.max);
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existing.sum += incoming.sum;
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existing.count += incoming.count;
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return existing;
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}));
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}
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public Map<String, Stat> getResultMap() {
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return resultMap;
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}
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private double round(double value) {
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return Math.round(value * 10.0) / 10.0;
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}
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@Override
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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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}
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}
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