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Add linl33 v2 (#678)

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Li Lin 2024-02-01 18:27:56 +08:00 committed by GitHub
parent da26f61137
commit 9a27939f87
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GPG Key ID: B5690EEEBB952194
3 changed files with 56 additions and 55 deletions
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7
.github/workflows/maven.yml vendored
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@ -53,8 +53,13 @@ jobs:
id: sdkman
- name: 'Build project'
shell: bash
run: |
source "$HOME/.sdkman/bin/sdkman-init.sh"
if [ -f ${{ format('src/main/java-22/dev/morling/onebrc/CalculateAverage_{0}.java', github.event.pull_request.user.login || '') }} ]; then
sdk install java 22.ea.32-open || true
sdk use java 22.ea.32-open
fi
./mvnw --version
./mvnw -B clean verify -Pci
@ -63,5 +68,3 @@ jobs:
run: |
./test_ci.sh ${{ github.event.pull_request.user.login }}
if: github.event_name == 'pull_request'

3
prepare_linl33.sh
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@ -17,8 +17,7 @@
source "$HOME/.sdkman/bin/sdkman-init.sh"
# TODO: bump to ea 32 when available
sdk use java 22.ea.31-open 1>&2
sdk use java 22.ea.32-open 1>&2
CLASS_NAME="CalculateAverage_linl33"

101
src/main/java-22/dev/morling/onebrc/CalculateAverage_linl33.java
View File

@ -71,7 +71,7 @@ public class CalculateAverage_linl33 {
final var inputMapped = channel.map(FileChannel.MapMode.READ_ONLY, 0, channel.size(), Arena.global());
final var chunkBounds = calcChunkBounds(inputMapped.address(), inputMapped.byteSize());
final var maps = new SparseMap[N_THREADS];
final var maps = new HashTable[N_THREADS];
try (final var threadPool = Executors.newFixedThreadPool(N_THREADS, THREAD_BUILDER.factory());
final var singleThreadExecutor = Executors.newSingleThreadExecutor(Thread.ofVirtual().factory())) {
@ -104,11 +104,12 @@ public class CalculateAverage_linl33 {
return chunkBounds;
}
private static void printSorted(final SparseMap temperatureMeasurements) {
private static void printSorted(final HashTable temperatureMeasurements) {
final var weatherStations = new AggregatedMeasurement[(int) temperatureMeasurements.size];
final var nameBuffer = new byte[WEATHER_STATION_LENGTH_MAX];
var offset = temperatureMeasurements.denseAddress;
for (int i = 0; i < weatherStations.length; i++, offset += SparseMap.DATA_SCALE * Long.BYTES) {
for (int i = 0; i < weatherStations.length; i++) {
final var offset = temperatureMeasurements.getOffset(i);
final var nameAddr = UNSAFE.getLong(offset);
final var nameLength = UNSAFE.getInt(offset + Integer.BYTES * 7);
MemorySegment.copy(ALL, ValueLayout.JAVA_BYTE, nameAddr, nameBuffer, 0, nameLength);
@ -129,8 +130,8 @@ public class CalculateAverage_linl33 {
}
private static void printAggMeasurement(final AggregatedMeasurement aggMeasurement,
final SparseMap temperatureMeasurements) {
final var offset = temperatureMeasurements.denseAddress + SparseMap.DATA_SCALE * Long.BYTES * aggMeasurement.id();
final HashTable temperatureMeasurements) {
final var offset = temperatureMeasurements.getOffset(aggMeasurement.id());
// name
System.out.print(aggMeasurement.name());
@ -162,15 +163,15 @@ public class CalculateAverage_linl33 {
private static class CalculateAverageTask implements Runnable {
public static final int BATCH_SIZE_BYTES = BYTE_SPECIES.vectorByteSize();
private final SparseMap[] maps;
private final HashTable[] maps;
private final long[] chunkBounds;
private final long chunkStart;
private final long chunkEnd;
private final int t;
private SparseMap map;
private HashTable map;
public CalculateAverageTask(SparseMap[] maps, long[] chunkBounds, int t) {
public CalculateAverageTask(HashTable[] maps, long[] chunkBounds, int t) {
this.maps = maps;
this.chunkBounds = chunkBounds;
this.chunkStart = chunkBounds[t];
@ -180,7 +181,7 @@ public class CalculateAverage_linl33 {
@Override
public void run() {
this.maps[this.t] = new SparseMap();
this.maps[this.t] = new HashTable();
this.map = this.maps[this.t];
var lineStart = this.chunkBounds[0];
@ -192,8 +193,8 @@ public class CalculateAverage_linl33 {
}
}
final var vectorLimit = this.chunkStart + ((this.chunkEnd - this.chunkStart) & -BYTE_SPECIES.vectorByteSize());
for (long i = this.chunkStart; i < vectorLimit; i += BYTE_SPECIES.vectorByteSize()) {
final var vectorLimit = this.chunkStart + ((this.chunkEnd - this.chunkStart) & -BATCH_SIZE_BYTES);
for (long i = this.chunkStart; i < vectorLimit; i += BATCH_SIZE_BYTES) {
var lfMask = ByteVector.fromMemorySegment(BYTE_SPECIES, ALL, i, ByteOrder.nativeOrder())
.eq((byte) '\n')
.toLong();
@ -272,31 +273,34 @@ public class CalculateAverage_linl33 {
/**
* Open addressing, linear probing hash map backed by off-heap memory
*/
private static class SparseMap {
private static class HashTable {
private static final int TRUNCATED_HASH_BITS = 26;
// max # of unique keys
private static final long DENSE_SIZE = WEATHER_STATION_DISTINCT_MAX;
// max hash code (exclusive)
private static final long SPARSE_SIZE = 1L << (TRUNCATED_HASH_BITS + 1);
private static final long DATA_SCALE = 4;
public static final long SPARSE_SCALE = 32;
public static final long DENSE_SCALE = 8;
public final long sparseAddress;
public final long denseAddress;
public long size;
public SparseMap() {
public HashTable() {
var arena = new MallocArena(Arena.global());
var callocArena = new CallocArena(Arena.global());
this.size = 0L;
final var sparse = callocArena.allocate(ValueLayout.JAVA_LONG, SPARSE_SIZE);
final var sparse = callocArena.allocate(ValueLayout.JAVA_BYTE, SPARSE_SIZE * SPARSE_SCALE);
this.sparseAddress = (sparse.address() + MallocArena.MAX_ALIGN) & -MallocArena.MAX_ALIGN;
final var dense = arena.allocate(ValueLayout.JAVA_LONG, DENSE_SIZE * DATA_SCALE);
final var dense = arena.allocate(ValueLayout.JAVA_BYTE, DENSE_SIZE * DENSE_SCALE);
this.denseAddress = (dense.address() + MallocArena.MAX_ALIGN) & -MallocArena.MAX_ALIGN;
}
public long getOffset(final long index) {
return UNSAFE.getLong(this.denseAddress + index * DENSE_SCALE);
}
public void putEntry(final long keyAddress, final int keyLength, final int value) {
final var hash = hash(keyAddress, keyLength);
this.putEntryInternal(hash, keyAddress, keyLength, value, 1, value, value);
@ -309,43 +313,46 @@ public class CalculateAverage_linl33 {
final int count,
final int temperatureMin,
final int temperatureMax) {
final var sparseOffset = this.sparseAddress + truncateHash(hash) * Long.BYTES;
final var sparseOffset = this.sparseAddress + truncateHash(hash) * SPARSE_SCALE;
for (long n = 0, sparseLinearOffset = sparseOffset; n < WEATHER_STATION_DISTINCT_MAX; n++, sparseLinearOffset += Long.BYTES) {
final var denseOffset = UNSAFE.getLong(sparseLinearOffset);
if (denseOffset == 0L) {
for (long n = 0, sparseLinearOffset = sparseOffset; n < WEATHER_STATION_DISTINCT_MAX; n++, sparseLinearOffset += SPARSE_SCALE) {
final var entryKeyAddress = UNSAFE.getLong(sparseLinearOffset);
if (entryKeyAddress == 0L) {
this.add(sparseLinearOffset, keyAddress, keyLength, temperature, count, temperatureMin, temperatureMax);
this.size++;
return;
}
if (isCollision(keyAddress, keyLength, denseOffset)) {
if (mismatch(keyAddress, entryKeyAddress, keyLength)) {
continue;
}
final var currTotal = UNSAFE.getLong(denseOffset + Integer.BYTES * 2);
UNSAFE.putLong(denseOffset + Integer.BYTES * 2, currTotal + temperature); // total
final var currMin = UNSAFE.getInt(sparseLinearOffset + Integer.BYTES * 5);
final var currMax = UNSAFE.getInt(sparseLinearOffset + Integer.BYTES * 6);
final var currTotal = UNSAFE.getLong(sparseLinearOffset + Integer.BYTES * 2);
final var currCount = UNSAFE.getInt(sparseLinearOffset + Integer.BYTES * 4);
final var currCount = UNSAFE.getInt(denseOffset + Integer.BYTES * 4);
UNSAFE.putInt(denseOffset + Integer.BYTES * 4, currCount + count); // count
UNSAFE.putLong(sparseLinearOffset + Integer.BYTES * 2, currTotal + temperature);
UNSAFE.putInt(sparseLinearOffset + Integer.BYTES * 4, currCount + count);
final var currMin = UNSAFE.getInt(denseOffset + Integer.BYTES * 5);
if (temperatureMin < currMin) {
UNSAFE.putInt(denseOffset + Integer.BYTES * 5, temperatureMin); // min
UNSAFE.putInt(sparseLinearOffset + Integer.BYTES * 5, temperatureMin);
}
final var currMax = UNSAFE.getInt(denseOffset + Integer.BYTES * 6);
if (temperatureMax > currMax) {
UNSAFE.putInt(denseOffset + Integer.BYTES * 6, temperatureMax); // max
UNSAFE.putInt(sparseLinearOffset + Integer.BYTES * 6, temperatureMax);
}
return;
}
}
public void merge(final SparseMap other) {
public void merge(final HashTable other) {
final var otherSize = other.size;
for (long i = 0, offset = other.denseAddress; i < otherSize; i++, offset += DATA_SCALE * Long.BYTES) {
for (long i = 0; i < otherSize; i++) {
final var offset = other.getOffset(i);
final var keyAddress = UNSAFE.getLong(offset);
final var keyLength = UNSAFE.getInt(offset + Integer.BYTES * 7);
final var hash = hash(keyAddress, keyLength);
@ -369,22 +376,15 @@ public class CalculateAverage_linl33 {
final int temperatureMin,
final int temperatureMax) {
// new entry, initialize sparse and dense
final var denseOffset = this.denseAddress + this.size * DATA_SCALE * Long.BYTES;
UNSAFE.putLong(sparseOffset, denseOffset);
final var denseOffset = this.denseAddress + this.size * DENSE_SCALE;
UNSAFE.putLong(denseOffset, sparseOffset);
UNSAFE.putLong(denseOffset, keyAddress);
UNSAFE.putLong(denseOffset + Integer.BYTES * 2, temperature);
UNSAFE.putInt(denseOffset + Integer.BYTES * 4, count);
UNSAFE.putInt(denseOffset + Integer.BYTES * 5, temperatureMin);
UNSAFE.putInt(denseOffset + Integer.BYTES * 6, temperatureMax);
UNSAFE.putInt(denseOffset + Integer.BYTES * 7, keyLength);
}
private static boolean isCollision(final long keyAddress, final int keyLength, final long denseOffset) {
// key length compare is unnecessary
final var entryKeyAddress = UNSAFE.getLong(denseOffset);
return mismatch(keyAddress, entryKeyAddress, keyLength);
UNSAFE.putLong(sparseOffset, keyAddress);
UNSAFE.putLong(sparseOffset + Integer.BYTES * 2, temperature);
UNSAFE.putInt(sparseOffset + Integer.BYTES * 4, count);
UNSAFE.putInt(sparseOffset + Integer.BYTES * 5, temperatureMin);
UNSAFE.putInt(sparseOffset + Integer.BYTES * 6, temperatureMax);
UNSAFE.putInt(sparseOffset + Integer.BYTES * 7, keyLength);
}
private static boolean mismatch(final long leftAddr, final long rightAddr, final int length) {
@ -404,8 +404,7 @@ public class CalculateAverage_linl33 {
final var r = ByteVector.fromMemorySegment(BYTE_SPECIES, ALL, rightAddr + loopBound, ByteOrder.nativeOrder());
final var eqMask = l.eq(r).toLong();
// LE compare to add 1 to length
return Long.numberOfTrailingZeros(~eqMask) <= (length - loopBound);
return Long.numberOfTrailingZeros(~eqMask) < ((length + 1) & (BYTE_SPECIES.vectorByteSize() - 1));
// to support platforms without TZCNT, the check can be replaced with
// a comparison to lowestZero = ~eqMask & (eqMask + 1)
}