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-rw-r--r--src/main/java/dev/morling/onebrc/CalculateAverage_ianopolous.java120
1 files changed, 64 insertions, 56 deletions
diff --git a/src/main/java/dev/morling/onebrc/CalculateAverage_ianopolous.java b/src/main/java/dev/morling/onebrc/CalculateAverage_ianopolous.java
index 834de74..4d82d88 100644
--- a/src/main/java/dev/morling/onebrc/CalculateAverage_ianopolous.java
+++ b/src/main/java/dev/morling/onebrc/CalculateAverage_ianopolous.java
@@ -18,85 +18,88 @@ package dev.morling.onebrc;
import java.io.*;
import java.nio.*;
import java.nio.channels.*;
+import java.util.concurrent.*;
import java.util.stream.*;
import java.util.*;
-/* A simple implementation that memory maps the file, reads chunks in parallel and minimises allocation without any unsafe.
+/* A simple implementation aiming for readability.
+ * Features:
+ * * memory mapped file
+ * * read chunks in parallel
+ * * minimise allocation
+ * * no unsafe
*
* Timings on 4 core i7-7500U CPU @ 2.70GHz:
* average_baseline: 4m48s
- * ianopolous: 48s
+ * ianopolous: 36s
*/
public class CalculateAverage_ianopolous {
public static final int MAX_LINE_LENGTH = 107;
- public static final int MAX_STATIONS = 10000;
+ public static final int MAX_STATIONS = 10_000;
- public static void main(String[] args) {
+ public static void main(String[] args) throws Exception {
File input = new File("./measurements.txt");
long filesize = input.length();
- long chunkSize = 256 * 1024 * 1024;
+ // keep chunk size between 256 MB and 1G (1 chunk for files < 256MB)
+ long chunkSize = Math.min(Math.max(filesize / 32, 256 * 1024 * 1024), 1024 * 1024 * 1024L);
int nChunks = (int) ((filesize + chunkSize - 1) / chunkSize);
- List<HashMap<String, Stat>> allResults = IntStream.range(0, nChunks).mapToObj(i -> {
- HashMap<String, Stat> results = new HashMap(512);
- parseStats(i * chunkSize, Math.min((i + 1) * chunkSize, filesize), results);
- return results;
- }).parallel().toList();
- HashMap<String, Stat> result = allResults.getFirst();
- for (int i = 1; i < allResults.size(); ++i) {
- for (Map.Entry<String, Stat> entry : allResults.get(i).entrySet()) {
- Stat current = result.putIfAbsent(entry.getKey(), entry.getValue());
- if (current != null) {
- current.merge(entry.getValue());
- }
- }
- }
-
- System.out.println(new TreeMap<>(result));
- }
+ ExecutorService pool = Executors.newVirtualThreadPerTaskExecutor();
+ List<Future<List<List<Stat>>>> allResults = IntStream.range(0, nChunks)
+ .mapToObj(i -> pool.submit(() -> parseStats(i * chunkSize, Math.min((i + 1) * chunkSize, filesize))))
+ .toList();
- public record Station(String name, ByteBuffer buf) {
+ TreeMap<String, Stat> merged = allResults.stream()
+ .parallel()
+ .flatMap(f -> {
+ try {
+ return f.get().stream().filter(Objects::nonNull).flatMap(Collection::stream);
+ }
+ catch (Exception e) {
+ return Stream.empty();
+ }
+ })
+ .collect(Collectors.toMap(s -> s.name(), s -> s, (a, b) -> a.merge(b), TreeMap::new));
+ System.out.println(merged);
}
- public static boolean matchingStationBytes(int start, int end, MappedByteBuffer buffer, Station existing) {
- buffer.position(start);
+ public static boolean matchingStationBytes(int start, int end, MappedByteBuffer buffer, Stat existing) {
for (int i = start; i < end; i++) {
- if (existing.buf.get(i - start) != buffer.get(i))
+ if (existing.name[i - start] != buffer.get(i))
return false;
}
return true;
}
- public static Station parseStation(int start, int end, int hash, MappedByteBuffer buffer, List<List<Station>> stations) {
+ public static Stat parseStation(int start, int end, int hash, MappedByteBuffer buffer, List<List<Stat>> stations) {
int index = Math.floorMod(hash, MAX_STATIONS);
- List<Station> matches = stations.get(index);
+ List<Stat> matches = stations.get(index);
if (matches == null) {
- List<Station> value = new ArrayList<>();
+ List<Stat> value = new ArrayList<>();
byte[] stationBuffer = new byte[end - start];
buffer.position(start);
buffer.get(stationBuffer);
- String name = new String(stationBuffer);
- Station res = new Station(name, ByteBuffer.wrap(stationBuffer));
+ Stat res = new Stat(stationBuffer);
value.add(res);
stations.set(index, value);
return res;
}
else {
for (int i = 0; i < matches.size(); i++) {
- Station s = matches.get(i);
+ Stat s = matches.get(i);
if (matchingStationBytes(start, end, buffer, s))
return s;
}
byte[] stationBuffer = new byte[end - start];
buffer.position(start);
buffer.get(stationBuffer);
- Station res = new Station(new String(stationBuffer), ByteBuffer.wrap(stationBuffer));
+ Stat res = new Stat(stationBuffer);
matches.add(res);
return res;
}
}
- public static void parseStats(long startByte, long endByte, Map<String, Stat> results) {
+ public static List<List<Stat>> parseStats(long startByte, long endByte) {
try {
RandomAccessFile file = new RandomAccessFile("./measurements.txt", "r");
long maxEnd = Math.min(file.length(), endByte + MAX_LINE_LENGTH);
@@ -117,30 +120,22 @@ public class CalculateAverage_ianopolous {
}
}
- List<List<Station>> stations = new ArrayList<>(MAX_STATIONS);
+ List<List<Stat>> stations = new ArrayList<>(MAX_STATIONS);
for (int i = 0; i < MAX_STATIONS; i++)
stations.add(null);
int lineStart = done;
int lineSplit = 0;
- long temperature = 0;
+ short temperature = 0;
int hash = 1;
boolean negative = false;
while (done < maxDone) {
- Station station = null;
+ Stat station = null;
for (int i = done; i < done + MAX_LINE_LENGTH && i < maxEnd; i++) {
byte b = buffer.get(i);
if (b == '\n') {
done = i + 1;
- Stat res = results.get(station.name);
- temperature = negative ? -temperature : temperature;
- if (res != null) {
- res.add(temperature);
- }
- else {
- res = new Stat();
- res.add(temperature);
- results.put(station.name, res);
- }
+ temperature = negative ? (short) -temperature : temperature;
+ station.add(temperature);
lineStart = done;
station = null;
hash = 1;
@@ -152,17 +147,18 @@ public class CalculateAverage_ianopolous {
temperature = 0;
negative = false;
}
- else if (b == '-' && station != null) {
- negative = true;
+ else if (station == null) {
+ hash = 31 * hash + b;
}
- else if (b != '.' && station != null) {
- temperature = temperature * 10 + (b - 0x30);
+ else if (b == '-') {
+ negative = true;
}
- else {
- hash = 31 * hash + b;
+ else if (b != '.') {
+ temperature = (short) (temperature * 10 + (b - 0x30));
}
}
}
+ return stations;
}
catch (IOException e) {
throw new RuntimeException(e);
@@ -170,9 +166,16 @@ public class CalculateAverage_ianopolous {
}
public static class Stat {
- long min = Long.MAX_VALUE, max = Long.MIN_VALUE, total = 0, count = 0;
+ final byte[] name;
+ int count = 0;
+ short min = Short.MAX_VALUE, max = Short.MIN_VALUE;
+ long total = 0;
- public void add(long value) {
+ public Stat(byte[] name) {
+ this.name = name;
+ }
+
+ public void add(short value) {
if (value < min)
min = value;
if (value > max)
@@ -181,19 +184,24 @@ public class CalculateAverage_ianopolous {
count++;
}
- public void merge(Stat value) {
+ public Stat merge(Stat value) {
if (value.min < min)
min = value.min;
if (value.max > max)
max = value.max;
total += value.total;
count += value.count;
+ return this;
}
private static double round(double value) {
return Math.round(value) / 10.0;
}
+ public String name() {
+ return new String(name);
+ }
+
public String toString() {
return round((double) min) + "/" + round(((double) total) / count) + "/" + round((double) max);
}