Basic Implementation with Memory Mapped File, SIMD Search
By gamlerhart
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calculate_average_gamlerhart.sh
Executable file
19
calculate_average_gamlerhart.sh
Executable file
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#!/bin/sh
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#
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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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JAVA_OPTS="--enable-preview --add-modules=jdk.incubator.vector"
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java $JAVA_OPTS --class-path target/average-1.0.0-SNAPSHOT.jar dev.morling.onebrc.CalculateAverage_gamlerhart
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/*
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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 jdk.incubator.vector.*;
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import java.lang.foreign.Arena;
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import java.lang.foreign.MemorySegment;
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import java.lang.foreign.ValueLayout;
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import java.nio.ByteOrder;
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import java.nio.channels.FileChannel;
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import java.nio.file.Path;
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import java.util.TreeMap;
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import static java.lang.Double.doubleToRawLongBits;
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import static java.lang.Double.longBitsToDouble;
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import static java.lang.foreign.ValueLayout.*;
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/**
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* Broad experiments in this implementation:
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* - Memory-Map the file with new MemorySegments
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* - Use SIMD/vectorized search for the semicolon and new line feeds
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* - Use SIMD/vectorized comparison for the 'key'
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* <p>
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* Absolute stupid things / performance left on the table
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* - Single Threaded! Multi threading planned.
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* - The hash map/table is super basic.
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* - Hash table implementation / hashing has no resizing and is quite basic
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* - Zero time spend on profiling =)
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* <p>
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* <p>
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* Cheats used:
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* - Only works with Unix line feed \n
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* - double parsing is only accepting XX.X and X.X
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* - HashMap has no resizing, check, horrible hash etc.
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* - Used the double parsing from yemreinci
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*/
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public class CalculateAverage_gamlerhart {
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private static final String FILE = "./measurements.txt";
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final static VectorSpecies<Byte> byteVec = ByteVector.SPECIES_PREFERRED;
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final static Vector<Byte> zero = byteVec.zero();
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final static int vecLen = byteVec.length();
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final static Vector<Byte> semiColon = byteVec.broadcast(';');
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final static VectorMask<Byte> allTrue = byteVec.maskAll(true);
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final static ValueLayout.OfInt INT_UNALIGNED_BIG_ENDIAN = ValueLayout.JAVA_INT_UNALIGNED.withOrder(ByteOrder.BIG_ENDIAN);
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public static void main(String[] args) throws Exception {
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try (var arena = Arena.ofConfined();
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FileChannel fc = FileChannel.open(Path.of(FILE))) {
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var map = new PrivateHashMap();
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long fileSize = fc.size();
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MemorySegment fileContent = fc.map(FileChannel.MapMode.READ_ONLY, 0, fileSize, arena);
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var loopBound = byteVec.loopBound(fileSize) - vecLen;
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for (long i = 0; i < fileSize;) {
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long nameStart = i;
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int simdSearchEnd = 0;
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int nameLen = 0;
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// Vectorized Search
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if (i < loopBound) {
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do {
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var vec = byteVec.fromMemorySegment(fileContent, i, ByteOrder.BIG_ENDIAN);
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var hasSemi = vec.eq(semiColon);
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simdSearchEnd = hasSemi.firstTrue();
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i += simdSearchEnd;
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nameLen += simdSearchEnd;
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} while (simdSearchEnd == vecLen && i < loopBound);
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}
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// Left-over search
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while (loopBound <= i && fileContent.get(JAVA_BYTE, i) != ';') {
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nameLen++;
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i++;
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}
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i++; // Consume ;
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// Copied from yemreinci. I mostly wanted to experiment the vector math, not with parsing =)
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double val;
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{
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boolean negative = false;
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if ((fileContent.get(JAVA_BYTE, i)) == '-') {
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negative = true;
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i++;
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}
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byte b;
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double temp;
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if ((b = fileContent.get(JAVA_BYTE, i + 1)) == '.') { // temperature is in either XX.X or X.X form
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temp = (fileContent.get(JAVA_BYTE, i) - '0') + (fileContent.get(JAVA_BYTE, i + 2) - '0') / 10.0;
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i += 3;
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}
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else {
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temp = (fileContent.get(JAVA_BYTE, i) - '0') * 10 + (b - '0')
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+ (fileContent.get(JAVA_BYTE, i + 3) - '0') / 10.0;
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i += 4;
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}
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val = (negative ? -temp : temp);
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}
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i++; // Consume \n
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map.add(fileContent, nameStart, nameLen, val);
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}
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// System.out.println(map.debug_reprobeMax);
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var measurements = new TreeMap<String, ResultRow>();
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map.fill(fileContent, measurements);
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System.out.println(measurements);
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}
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}
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private static class PrivateHashMap {
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private static final int SIZE_SHIFT = 14;
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public static final int SIZE = 1 << SIZE_SHIFT;
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public static int MASK = 0xFFFFFFFF >>> (32 - SIZE_SHIFT);
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public static long SHIFT_POS = 16;
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public static long MASK_POS = 0xFFFFFFFFFFFF0000L;
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public static long MASK_LEN = 0x000000000000FFFFL;
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// Encoding:
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// - Key: long
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// - 48 bits index, 16 bits length
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// - min: double
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// - max: double
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// - sum: double
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// - double: double
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final long[] keyValues = new long[SIZE * 5];
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// int debug_size = 0;
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// int debug_reprobeMax = 0;
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public PrivateHashMap() {
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}
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public void add(MemorySegment file, long pos, int len, double val) {
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int hashCode = 1;
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int i = 0;
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int intBound = (len / 4) * 4;
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for (; i < intBound; i += 4) {
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int v = file.get(INT_UNALIGNED_BIG_ENDIAN, pos + i);
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hashCode = 31 * hashCode + v;
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}
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for (; i < len; i++) {
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int v = file.get(JAVA_BYTE, pos + i);
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hashCode = 31 * hashCode + v;
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}
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doAdd(file, hashCode, pos, len, val);
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}
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private void doAdd(MemorySegment file, int hash, long pos, int len, double val) {
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// var debug = new String(file.asSlice(pos, len).toArray(ValueLayout.JAVA_BYTE));
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int slot = hash & MASK;
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for (var probe = 0; probe < 20000; probe++) {
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var iSl = ((slot + probe) & MASK) * 5;
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var slotEntry = keyValues[iSl];
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var emtpy = slotEntry == 0;
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if (emtpy) {
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long keyInfo = pos << SHIFT_POS | len;
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long valueBits = doubleToRawLongBits(val);
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keyValues[iSl] = keyInfo;
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keyValues[iSl + 1] = valueBits;
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keyValues[iSl + 2] = valueBits;
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keyValues[iSl + 3] = valueBits;
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keyValues[iSl + 4] = 1;
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// debug_size++;
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return;
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}
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else if (isSameEntry(file, slotEntry, pos, len)) {
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keyValues[iSl + 1] = doubleToRawLongBits(Math.min(longBitsToDouble(keyValues[iSl + 1]), val));
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keyValues[iSl + 2] = doubleToRawLongBits(Math.max(longBitsToDouble(keyValues[iSl + 2]), val));
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keyValues[iSl + 3] = doubleToRawLongBits(longBitsToDouble(keyValues[iSl + 3]) + val);
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keyValues[iSl + 4] = keyValues[iSl + 4] + 1;
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return;
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}
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else {
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// long keyPos = (slotEntry & MASK_POS) >> SHIFT_POS;
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// int keyLen = (int) (slotEntry & MASK_LEN);
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// System.out.println("Colliding " + new String(file.asSlice(pos,len).toArray(ValueLayout.JAVA_BYTE)) +
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// " with key" + new String(file.asSlice(keyPos,keyLen).toArray(ValueLayout.JAVA_BYTE)) +
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// " hash " + hash + " slot " + slot + "+" + probe + " at " + iSl);
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// debug_reprobeMax = Math.max(debug_reprobeMax, probe);
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}
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}
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throw new IllegalStateException("More than 20000 reprobes");
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// throw new IllegalStateException("More than 100 reprobes: At " + debug_size + "");
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}
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private boolean isSameEntry(MemorySegment file, long slotEntry, long pos, int len) {
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long keyPos = (slotEntry & MASK_POS) >> SHIFT_POS;
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int keyLen = (int) (slotEntry & MASK_LEN);
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var isSame = isSame(file, keyPos, pos, len);
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// System.out.println("Entry:" + new String(file.asSlice(pos, len).toArray(JAVA_BYTE)) +
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// ",Keys:" + new String(file.asSlice(keyPos, keyLen).toArray(JAVA_BYTE)) +
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// ",match " + isSame);
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return isSame;
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}
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private static boolean isSame(MemorySegment file, long i1, long i2, int len) {
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int i = 0;
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var i1len = i1 + vecLen;
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var i2len = i2 + vecLen;
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if (len < vecLen && i1len <= file.byteSize() && i2len <= file.byteSize()) {
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var v1 = byteVec.fromMemorySegment(file, i1, ByteOrder.BIG_ENDIAN);
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var v2 = byteVec.fromMemorySegment(file, i2, ByteOrder.BIG_ENDIAN);
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var isTrue = v1.compare(VectorOperators.EQ, v2, allTrue.indexInRange(0, len));
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return isTrue.trueCount() == len;
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}
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while (8 < (len - i)) {
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var v1 = file.get(JAVA_LONG_UNALIGNED, i1 + i);
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var v2 = file.get(JAVA_LONG_UNALIGNED, i2 + i);
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if (v1 != v2) {
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return false;
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}
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i += 8;
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}
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while (i < len) {
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var v1 = file.get(JAVA_BYTE, i1 + i);
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var v2 = file.get(JAVA_BYTE, i2 + i);
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if (v1 != v2) {
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return false;
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}
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i++;
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}
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return true;
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}
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public void fill(MemorySegment file, TreeMap<String, ResultRow> treeMap) {
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for (int i = 0; i < keyValues.length / 5; i++) {
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var ji = i * 5;
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long keyE = keyValues[ji];
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if (keyE != 0) {
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long keyPos = (keyE & MASK_POS) >> SHIFT_POS;
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int keyLen = (int) (keyE & MASK_LEN);
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byte[] keyBytes = new byte[keyLen];
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MemorySegment.copy(file, JAVA_BYTE, keyPos, keyBytes, 0, keyLen);
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var key = new String(keyBytes);
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var min = longBitsToDouble(keyValues[ji + 1]);
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var max = longBitsToDouble(keyValues[ji + 2]);
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var sum = longBitsToDouble(keyValues[ji + 3]);
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var count = keyValues[ji + 4];
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treeMap.put(key, new ResultRow(min, sum / count, max));
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}
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}
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}
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}
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private static record ResultRow(double min, double mean, double max) {
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public String toString() {
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return round(min) + "/" + round(mean) + "/" + round(max);
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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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}
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;
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}
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