Optimizing KObjectHashMap hashIndex()
Motivation: The IntObjectHashMap benchmarks show the Agrona collections to be faster on put, lookup, and remove. One major difference is that we're using 2 modulus operations each time we increment the position index while iterating. Agrona uses a mask instead. Modifications: Modified the KObjectHashMap to use masking rather than modulus when wrapping the position index. This requires that the capacity be a power of 2. Result: Improved performance of IntObjectHashMap.
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common/src/main/java/io/netty/util/internal/MathUtil.java
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38
common/src/main/java/io/netty/util/internal/MathUtil.java
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@ -0,0 +1,38 @@
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/*
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* Copyright 2015 The Netty Project
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*
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* The Netty Project licenses this file to you under the Apache License, version 2.0 (the
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* "License"); you may not use this file except in compliance with the License. You may obtain a
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* 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 distributed under the License
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* is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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* or implied. See the License for the specific language governing permissions and limitations under
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* the License.
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*/
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package io.netty.util.internal;
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/**
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* Math utility methods.
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*/
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public final class MathUtil {
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private MathUtil() {
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}
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/**
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* Fast method of finding the next power of 2 greater than or equal to the supplied value.
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*
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* If the value is {@code <= 0} then 1 will be returned.
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*
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* This method is not suitable for {@link Integer#MIN_VALUE} or numbers greater than 2^30.*
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* @param value from which to search for next power of 2
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* @return The next power of 2 or the value itself if it is a power of 2
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*/
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public static int findNextPositivePowerOfTwo(final int value) {
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assert value > Integer.MIN_VALUE && value < 0x40000000;
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return 1 << (32 - Integer.numberOfLeadingZeros(value - 1));
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}
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}
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@ -15,6 +15,8 @@
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package io.netty.util.collection;
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import static io.netty.util.internal.MathUtil.findNextPositivePowerOfTwo;
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import java.lang.reflect.Array;
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import java.util.AbstractCollection;
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import java.util.Arrays;
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@ -33,7 +35,7 @@ import java.util.NoSuchElementException;
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public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectMap.Entry<V>> {
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/** Default initial capacity. Used if not specified in the constructor */
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public static final int DEFAULT_CAPACITY = 11;
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public static final int DEFAULT_CAPACITY = 8;
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/** Default load factor. Used if not specified in the constructor */
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public static final float DEFAULT_LOAD_FACTOR = 0.5f;
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@ -52,8 +54,8 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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private @k@[] keys;
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private V[] values;
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private Collection<V> valueCollection;
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private int size;
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private int mask;
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public @K@ObjectHashMap() {
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this(DEFAULT_CAPACITY, DEFAULT_LOAD_FACTOR);
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@ -76,7 +78,8 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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this.loadFactor = loadFactor;
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// Adjust the initial capacity if necessary.
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int capacity = adjustCapacity(initialCapacity);
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int capacity = findNextPositivePowerOfTwo(initialCapacity);
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mask = capacity - 1;
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// Allocate the arrays.
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keys = new @k@[capacity];
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@ -238,9 +241,7 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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@Override
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public Collection<V> values() {
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Collection<V> valueCollection = this.valueCollection;
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if (valueCollection == null) {
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this.valueCollection = valueCollection = new AbstractCollection<V>() {
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return new AbstractCollection<V>() {
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@Override
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public Iterator<V> iterator() {
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return new Iterator<V>() {
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@ -269,9 +270,6 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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};
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}
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return valueCollection;
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}
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@Override
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public int hashCode() {
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// Hashcode is based on all non-zero, valid keys. We have to scan the whole keys
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@ -351,8 +349,7 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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* Returns the hashed index for the given key.
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*/
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private int hashIndex(@k@ key) {
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// Allowing for negative keys by adding the length after the first mod operation.
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return (hashCode(key) % keys.length + keys.length) % keys.length;
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return hashCode(key) & mask;
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}
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/**
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@ -369,21 +366,13 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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size++;
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if (size > maxSize) {
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// Need to grow the arrays. We take care to detect integer overflow,
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// also limit array size to ArrayList.MAX_ARRAY_SIZE.
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rehash(adjustCapacity((int) Math.min(keys.length * 2.0, Integer.MAX_VALUE - 8)));
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} else if (size == keys.length) {
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// Open addressing requires that we have at least 1 slot available. Need to refresh
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// the arrays to clear any removed elements.
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rehash(keys.length);
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}
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if(keys.length == Integer.MAX_VALUE) {
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throw new IllegalStateException("Max capacity reached at size=" + size);
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}
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/**
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* Adjusts the given capacity value to ensure that it's odd. Even capacities can break probing.
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*/
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private static int adjustCapacity(int capacity) {
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return capacity | 1;
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// Double the capacity.
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rehash(keys.length << 1);
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}
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}
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/**
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@ -444,6 +433,7 @@ public class @K@ObjectHashMap<V> implements @K@ObjectMap<V>, Iterable<@K@ObjectM
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values = temp;
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maxSize = calcMaxSize(newCapacity);
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mask = newCapacity - 1;
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// Insert to the new arrays.
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for (int i = 0; i < oldVals.length; ++i) {
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