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Adding Nick Palmer's submission;

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* Memory mapped file, single-pass parsing, custom hash map, fixed thread pool
The threading was a hasty addition and needs work

* Used arraylist instead of treemap to reduce a little overhead
We only need it sorted for output, so only construct a treemap for output

* Attempt to speed up double conversion

* Cap core count for low-core systems

* Fix wrong exponent

* Accumulate measurement value in double, seems marginally faster

Benchmark                                                           Mode  Cnt    Score    Error   Units
DoubleParsingBenchmark.ourToDouble                                 thrpt   10  569.771 ±  7.065  ops/us
DoubleParsingBenchmark.ourToDoubleAccumulateInToDouble             thrpt   10  648.026 ±  7.741  ops/us
DoubleParsingBenchmark.ourToDoubleDivideInsteadOfMultiply          thrpt   10  570.412 ±  9.329  ops/us
DoubleParsingBenchmark.ourToDoubleNegative                         thrpt   10  512.618 ±  8.580  ops/us
DoubleParsingBenchmark.ourToDoubleNegativeAccumulateInToDouble     thrpt   10  565.043 ± 18.137  ops/us
DoubleParsingBenchmark.ourToDoubleNegativeDivideInsteadOfMultiply  thrpt   10  511.228 ± 13.967  ops/us
DoubleParsingBenchmark.stringToDouble                              thrpt   10   52.310 ±  1.351  ops/us
DoubleParsingBenchmark.stringToDoubleNegative                      thrpt   10   50.785 ±  1.252  ops/us
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Nick Palmer 2024-01-03 16:21:56 +00:00 committed by GitHub
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commit 8e6298cd2a
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calculate_average_palmr.sh Executable file
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#!/bin/sh
#
# 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.
#
JAVA_OPTS="--enable-preview"
time java $JAVA_OPTS --class-path target/average-1.0.0-SNAPSHOT.jar dev.morling.onebrc.CalculateAverage_palmr

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src/main/java/dev/morling/onebrc/CalculateAverage_palmr.java Normal file
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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 java.io.IOException;
import java.io.RandomAccessFile;
import java.nio.ByteBuffer;
import java.nio.channels.FileChannel;
import java.nio.charset.StandardCharsets;
import java.util.*;
public class CalculateAverage_palmr {
private static final String FILE = "./measurements.txt";
public static final int CHUNK_SIZE = 1024 * 1024 * 10; // Trial and error showed ~10MB to be a good size on our machine
public static final int LITTLE_CHUNK_SIZE = 128; // Enough bytes to cover a station name and measurement value :fingers-crossed:
public static final int STATION_NAME_BUFFER_SIZE = 50;
public static final int THREAD_COUNT = Math.min(8, Runtime.getRuntime().availableProcessors());
public static void main(String[] args) throws IOException {
@SuppressWarnings("resource") // It's faster to leak the file than be well-behaved
RandomAccessFile file = new RandomAccessFile(FILE, "r");
FileChannel channel = file.getChannel();
long fileSize = channel.size();
long threadChunk = fileSize / THREAD_COUNT;
Thread[] threads = new Thread[THREAD_COUNT];
ByteArrayKeyedMap[] results = new ByteArrayKeyedMap[THREAD_COUNT];
for (int i = 0; i < THREAD_COUNT; i++) {
final int j = i;
long startPoint = j * threadChunk;
long endPoint = startPoint + threadChunk;
Thread thread = new Thread(() -> {
try {
results[j] = readAndParse(channel, startPoint, endPoint, fileSize);
}
catch (Throwable t) {
System.err.println("It's broken :(");
// noinspection CallToPrintStackTrace
t.printStackTrace();
}
});
threads[i] = thread;
thread.start();
}
final Map<String, MeasurementAggregator> finalAggregator = new TreeMap<>();
for (int i = 0; i < THREAD_COUNT; i++) {
try {
threads[i].join();
}
catch (InterruptedException e) {
throw new RuntimeException(e);
}
results[i].getAsUnorderedList().forEach(v -> {
String stationName = new String(v.stationNameBytes, StandardCharsets.UTF_8);
finalAggregator.compute(stationName, (_, x) -> {
if (x == null) {
return v;
}
else {
x.count += v.count;
x.min = Math.min(x.min, v.min);
x.max = Math.max(x.max, v.max);
x.sum += v.sum;
return x;
}
});
});
}
System.out.println(finalAggregator);
}
private static ByteArrayKeyedMap readAndParse(final FileChannel channel,
final long startPoint,
final long endPoint,
final long fileSize) {
final State state = new State();
boolean skipFirstEntry = startPoint != 0;
long offset = startPoint;
while (offset < endPoint) {
parseData(channel, state, offset, Math.min(CHUNK_SIZE, fileSize - offset), false, skipFirstEntry);
skipFirstEntry = false;
offset += CHUNK_SIZE;
}
if (offset < fileSize) {
// Make sure we finish reading any partially read entry by going a little in to the next chunk, stopping at the first newline
parseData(channel, state, offset, Math.min(LITTLE_CHUNK_SIZE, fileSize - offset), true, false);
}
return state.aggregators;
}
private static void parseData(final FileChannel channel,
final State state,
final long offset,
final long bufferSize,
final boolean stopAtNewline,
final boolean skipFirstEntry) {
ByteBuffer byteBuffer;
try {
byteBuffer = channel.map(FileChannel.MapMode.READ_ONLY, offset, bufferSize);
}
catch (IOException e) {
throw new RuntimeException(e);
}
boolean isSkippingToFirstCleanEntry = skipFirstEntry;
while (byteBuffer.hasRemaining()) {
byte currentChar = byteBuffer.get();
if (isSkippingToFirstCleanEntry) {
if (currentChar == '\n') {
isSkippingToFirstCleanEntry = false;
}
continue;
}
if (currentChar == ';') {
state.parsingValue = true;
}
else if (currentChar == '\n') {
if (state.stationPointerEnd != 0) {
double value = state.measurementValue * state.exponent;
MeasurementAggregator aggregator = state.aggregators.computeIfAbsent(state.stationBuffer, state.stationPointerEnd, state.signedHashCode);
aggregator.count++;
aggregator.min = Math.min(aggregator.min, value);
aggregator.max = Math.max(aggregator.max, value);
aggregator.sum += value;
}
if (stopAtNewline) {
return;
}
// reset
state.reset();
}
else {
if (!state.parsingValue) {
state.stationBuffer[state.stationPointerEnd++] = currentChar;
state.signedHashCode = 31 * state.signedHashCode + (currentChar & 0xff);
}
else {
if (currentChar == '-') {
state.exponent = -0.1;
}
else if (currentChar != '.') {
state.measurementValue = state.measurementValue * 10 + (currentChar - '0');
}
}
}
}
}
static final class State {
ByteArrayKeyedMap aggregators = new ByteArrayKeyedMap();
boolean parsingValue = false;
byte[] stationBuffer = new byte[STATION_NAME_BUFFER_SIZE];
int signedHashCode = 0;
int stationPointerEnd = 0;
double measurementValue = 0;
double exponent = 0.1;
public void reset() {
parsingValue = false;
signedHashCode = 0;
stationPointerEnd = 0;
measurementValue = 0;
exponent = 0.1;
}
}
private static class MeasurementAggregator {
final byte[] stationNameBytes;
final int stationNameHashCode;
private double min = Double.POSITIVE_INFINITY;
private double max = Double.NEGATIVE_INFINITY;
private double sum;
private long count;
public MeasurementAggregator(final byte[] stationNameBytes, final int stationNameHashCode) {
this.stationNameBytes = stationNameBytes;
this.stationNameHashCode = stationNameHashCode;
}
public String toString() {
return round(min) + "/" + round(sum / count) + "/" + round(max);
}
private double round(double value) {
return Math.round(value * 10.0) / 10.0;
}
}
private static class ByteArrayKeyedMap {
private final int BUCKET_COUNT = 0xFFF; // 413 unique stations in the data set, & 0xFFF ~= 399 (only 14 collisions (given our hashcode implementation))
private final MeasurementAggregator[] buckets = new MeasurementAggregator[BUCKET_COUNT + 1];
private final List<MeasurementAggregator> compactUnorderedBuckets = new ArrayList<>(413);
public MeasurementAggregator computeIfAbsent(final byte[] key, final int keyLength, final int keyHashCode) {
int index = keyHashCode & BUCKET_COUNT;
while (true) {
MeasurementAggregator maybe = buckets[index];
if (maybe == null) {
final byte[] copiedKey = Arrays.copyOf(key, keyLength);
MeasurementAggregator measurementAggregator = new MeasurementAggregator(copiedKey, keyHashCode);
buckets[index] = measurementAggregator;
compactUnorderedBuckets.add(measurementAggregator);
return measurementAggregator;
}
else {
if (Arrays.equals(key, 0, keyLength, maybe.stationNameBytes, 0, maybe.stationNameBytes.length)) {
return maybe;
}
index++;
index &= BUCKET_COUNT;
}
}
}
public List<MeasurementAggregator> getAsUnorderedList() {
return compactUnorderedBuckets;
}
}
}