/*
* Copyright (C) 2011 The Guava 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 com.google.common.util.concurrent;
import com.google.common.annotations.Beta;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.MoreObjects;
import com.google.common.base.Preconditions;
import com.google.common.base.Supplier;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Iterables;
import com.google.common.collect.MapMaker;
import com.google.common.math.IntMath;
import com.google.common.primitives.Ints;
import java.lang.ref.Reference;
import java.lang.ref.ReferenceQueue;
import java.lang.ref.WeakReference;
import java.math.RoundingMode;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.Semaphore;
import java.util.concurrent.atomic.AtomicReferenceArray;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
A striped Lock/Semaphore/ReadWriteLock
. This offers the underlying lock striping similar to that of ConcurrentHashMap
in a reusable form, and extends it for semaphores and read-write locks. Conceptually, lock striping is the technique of dividing a lock into many stripes, increasing the granularity of a single lock and allowing independent operations
to lock different stripes and proceed concurrently, instead of creating contention for a single
lock.
The guarantee provided by this class is that equal keys lead to the same lock (or semaphore), i.e. if (key1.equals(key2))
then striped.get(key1) == striped.get(key2)
(assuming Object.hashCode()
is correctly implemented for the keys). Note that if key1
is not equal to key2
, it is not guaranteed that
striped.get(key1) != striped.get(key2)
; the elements might nevertheless be mapped to the same lock. The lower the number of stripes, the higher the probability of this happening.
There are three flavors of this class: Striped<Lock>
, Striped<Semaphore>
, and Striped<ReadWriteLock>
. For each type, two implementations are offered: strong and weak Striped<Lock>
, strong and weak
Striped<Semaphore>
, and strong and weak Striped<ReadWriteLock>
. Strong means that all stripes (locks/semaphores) are initialized eagerly, and are not reclaimed unless Striped
itself is reclaimable. Weak means that locks/semaphores are created lazily, and they are allowed to be reclaimed if nobody is holding on to them. This is useful, for example, if one wants to create a Striped<Lock>
of many locks, but worries that in most cases only a small portion of these would be in use.
Prior to this class, one might be tempted to use Map<K, Lock>
, where K
represents the task. This maximizes concurrency by having each unique key mapped to a unique lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing either of these extremes, Striped
allows the user to trade between required concurrency and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a very compact Striped<Lock>
of availableProcessors() * 4
stripes, instead of possibly thousands of locks which could be created in a Map<K, Lock>
structure.
Author: Dimitris Andreou Since: 13.0
/**
* A striped {@code Lock/Semaphore/ReadWriteLock}. This offers the underlying lock striping similar
* to that of {@code ConcurrentHashMap} in a reusable form, and extends it for semaphores and
* read-write locks. Conceptually, lock striping is the technique of dividing a lock into many
* <i>stripes</i>, increasing the granularity of a single lock and allowing independent operations
* to lock different stripes and proceed concurrently, instead of creating contention for a single
* lock.
*
* <p>The guarantee provided by this class is that equal keys lead to the same lock (or semaphore),
* i.e. {@code if (key1.equals(key2))} then {@code striped.get(key1) == striped.get(key2)} (assuming
* {@link Object#hashCode()} is correctly implemented for the keys). Note that if {@code key1} is
* <strong>not</strong> equal to {@code key2}, it is <strong>not</strong> guaranteed that {@code
* striped.get(key1) != striped.get(key2)}; the elements might nevertheless be mapped to the same
* lock. The lower the number of stripes, the higher the probability of this happening.
*
* <p>There are three flavors of this class: {@code Striped<Lock>}, {@code Striped<Semaphore>}, and
* {@code Striped<ReadWriteLock>}. For each type, two implementations are offered: {@linkplain
* #lock(int) strong} and {@linkplain #lazyWeakLock(int) weak} {@code Striped<Lock>}, {@linkplain
* #semaphore(int, int) strong} and {@linkplain #lazyWeakSemaphore(int, int) weak} {@code
* Striped<Semaphore>}, and {@linkplain #readWriteLock(int) strong} and {@linkplain
* #lazyWeakReadWriteLock(int) weak} {@code Striped<ReadWriteLock>}. <i>Strong</i> means that all
* stripes (locks/semaphores) are initialized eagerly, and are not reclaimed unless {@code Striped}
* itself is reclaimable. <i>Weak</i> means that locks/semaphores are created lazily, and they are
* allowed to be reclaimed if nobody is holding on to them. This is useful, for example, if one
* wants to create a {@code Striped<Lock>} of many locks, but worries that in most cases only a
* small portion of these would be in use.
*
* <p>Prior to this class, one might be tempted to use {@code Map<K, Lock>}, where {@code K}
* represents the task. This maximizes concurrency by having each unique key mapped to a unique
* lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
* all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing
* either of these extremes, {@code Striped} allows the user to trade between required concurrency
* and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a
* very compact {@code Striped<Lock>} of {@code availableProcessors() * 4} stripes, instead of
* possibly thousands of locks which could be created in a {@code Map<K, Lock>} structure.
*
* @author Dimitris Andreou
* @since 13.0
*/
@Beta
@GwtIncompatible
public abstract class Striped<L> {
If there are at least this many stripes, we assume the memory usage of a ConcurrentMap will be
smaller than a large array. (This assumes that in the lazy case, most stripes are unused. As
always, if many stripes are in use, a non-lazy striped makes more sense.)
/**
* If there are at least this many stripes, we assume the memory usage of a ConcurrentMap will be
* smaller than a large array. (This assumes that in the lazy case, most stripes are unused. As
* always, if many stripes are in use, a non-lazy striped makes more sense.)
*/
private static final int LARGE_LAZY_CUTOFF = 1024;
private Striped() {}
Returns the stripe that corresponds to the passed key. It is always guaranteed that if
key1.equals(key2)
, then get(key1) == get(key2)
. Params: - key – an arbitrary, non-null key
Returns: the stripe that the passed key corresponds to
/**
* Returns the stripe that corresponds to the passed key. It is always guaranteed that if {@code
* key1.equals(key2)}, then {@code get(key1) == get(key2)}.
*
* @param key an arbitrary, non-null key
* @return the stripe that the passed key corresponds to
*/
public abstract L get(Object key);
Returns the stripe at the specified index. Valid indexes are 0, inclusively, to size()
, exclusively. Params: - index – the index of the stripe to return; must be in
[0...size())
Returns: the stripe at the specified index
/**
* Returns the stripe at the specified index. Valid indexes are 0, inclusively, to {@code size()},
* exclusively.
*
* @param index the index of the stripe to return; must be in {@code [0...size())}
* @return the stripe at the specified index
*/
public abstract L getAt(int index);
Returns the index to which the given key is mapped, so that getAt(indexFor(key)) == get(key).
/**
* Returns the index to which the given key is mapped, so that getAt(indexFor(key)) == get(key).
*/
abstract int indexFor(Object key);
Returns the total number of stripes in this instance. /** Returns the total number of stripes in this instance. */
public abstract int size();
Returns the stripes that correspond to the passed objects, in ascending (as per getAt(int)
) order. Thus, threads that use the stripes in the order returned by this method are guaranteed to not deadlock each other. It should be noted that using a Striped<L>
with relatively few stripes, and
bulkGet(keys)
with a relative large number of keys can cause an excessive number of shared stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed for a pair of them to match). Please consider carefully the implications of the number of stripes, the intended concurrency level, and the typical number of keys used in a
bulkGet(keys)
operation. See Balls in
Bins model for mathematical formulas that can be used to estimate the probability of
collisions.
Params: - keys – arbitrary non-null keys
Returns: the stripes corresponding to the objects (one per each object, derived by delegating to get(Object)
; may contain duplicates), in an increasing index order.
/**
* Returns the stripes that correspond to the passed objects, in ascending (as per {@link
* #getAt(int)}) order. Thus, threads that use the stripes in the order returned by this method
* are guaranteed to not deadlock each other.
*
* <p>It should be noted that using a {@code Striped<L>} with relatively few stripes, and {@code
* bulkGet(keys)} with a relative large number of keys can cause an excessive number of shared
* stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed
* for a pair of them to match). Please consider carefully the implications of the number of
* stripes, the intended concurrency level, and the typical number of keys used in a {@code
* bulkGet(keys)} operation. See <a href="http://www.mathpages.com/home/kmath199.htm">Balls in
* Bins model</a> for mathematical formulas that can be used to estimate the probability of
* collisions.
*
* @param keys arbitrary non-null keys
* @return the stripes corresponding to the objects (one per each object, derived by delegating to
* {@link #get(Object)}; may contain duplicates), in an increasing index order.
*/
public Iterable<L> bulkGet(Iterable<?> keys) {
// Initially using the array to store the keys, then reusing it to store the respective L's
final Object[] array = Iterables.toArray(keys, Object.class);
if (array.length == 0) {
return ImmutableList.of();
}
int[] stripes = new int[array.length];
for (int i = 0; i < array.length; i++) {
stripes[i] = indexFor(array[i]);
}
Arrays.sort(stripes);
// optimize for runs of identical stripes
int previousStripe = stripes[0];
array[0] = getAt(previousStripe);
for (int i = 1; i < array.length; i++) {
int currentStripe = stripes[i];
if (currentStripe == previousStripe) {
array[i] = array[i - 1];
} else {
array[i] = getAt(currentStripe);
previousStripe = currentStripe;
}
}
/*
* Note that the returned Iterable holds references to the returned stripes, to avoid
* error-prone code like:
*
* Striped<Lock> stripedLock = Striped.lazyWeakXXX(...)'
* Iterable<Lock> locks = stripedLock.bulkGet(keys);
* for (Lock lock : locks) {
* lock.lock();
* }
* operation();
* for (Lock lock : locks) {
* lock.unlock();
* }
*
* If we only held the int[] stripes, translating it on the fly to L's, the original locks might
* be garbage collected after locking them, ending up in a huge mess.
*/
@SuppressWarnings("unchecked") // we carefully replaced all keys with their respective L's
List<L> asList = (List<L>) Arrays.asList(array);
return Collections.unmodifiableList(asList);
}
// Static factories
Creates a Striped<L>
with eagerly initialized, strongly referenced locks. Every lock is obtained from the passed supplier. Params: - stripes – the minimum number of stripes (locks) required
- supplier – a
Supplier<L>
object to obtain locks from
Returns: a new Striped<L>
/**
* Creates a {@code Striped<L>} with eagerly initialized, strongly referenced locks. Every lock is
* obtained from the passed supplier.
*
* @param stripes the minimum number of stripes (locks) required
* @param supplier a {@code Supplier<L>} object to obtain locks from
* @return a new {@code Striped<L>}
*/
static <L> Striped<L> custom(int stripes, Supplier<L> supplier) {
return new CompactStriped<>(stripes, supplier);
}
Creates a Striped<Lock>
with eagerly initialized, strongly referenced locks. Every lock is reentrant. Params: - stripes – the minimum number of stripes (locks) required
Returns: a new Striped<Lock>
/**
* Creates a {@code Striped<Lock>} with eagerly initialized, strongly referenced locks. Every lock
* is reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped<Lock>}
*/
public static Striped<Lock> lock(int stripes) {
return custom(
stripes,
new Supplier<Lock>() {
@Override
public Lock get() {
return new PaddedLock();
}
});
}
Creates a Striped<Lock>
with lazily initialized, weakly referenced locks. Every lock is reentrant. Params: - stripes – the minimum number of stripes (locks) required
Returns: a new Striped<Lock>
/**
* Creates a {@code Striped<Lock>} with lazily initialized, weakly referenced locks. Every lock is
* reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped<Lock>}
*/
public static Striped<Lock> lazyWeakLock(int stripes) {
return lazy(
stripes,
new Supplier<Lock>() {
@Override
public Lock get() {
return new ReentrantLock(false);
}
});
}
private static <L> Striped<L> lazy(int stripes, Supplier<L> supplier) {
return stripes < LARGE_LAZY_CUTOFF
? new SmallLazyStriped<L>(stripes, supplier)
: new LargeLazyStriped<L>(stripes, supplier);
}
Creates a Striped<Semaphore>
with eagerly initialized, strongly referenced semaphores, with the specified number of permits. Params: - stripes – the minimum number of stripes (semaphores) required
- permits – the number of permits in each semaphore
Returns: a new Striped<Semaphore>
/**
* Creates a {@code Striped<Semaphore>} with eagerly initialized, strongly referenced semaphores,
* with the specified number of permits.
*
* @param stripes the minimum number of stripes (semaphores) required
* @param permits the number of permits in each semaphore
* @return a new {@code Striped<Semaphore>}
*/
public static Striped<Semaphore> semaphore(int stripes, final int permits) {
return custom(
stripes,
new Supplier<Semaphore>() {
@Override
public Semaphore get() {
return new PaddedSemaphore(permits);
}
});
}
Creates a Striped<Semaphore>
with lazily initialized, weakly referenced semaphores, with the specified number of permits. Params: - stripes – the minimum number of stripes (semaphores) required
- permits – the number of permits in each semaphore
Returns: a new Striped<Semaphore>
/**
* Creates a {@code Striped<Semaphore>} with lazily initialized, weakly referenced semaphores,
* with the specified number of permits.
*
* @param stripes the minimum number of stripes (semaphores) required
* @param permits the number of permits in each semaphore
* @return a new {@code Striped<Semaphore>}
*/
public static Striped<Semaphore> lazyWeakSemaphore(int stripes, final int permits) {
return lazy(
stripes,
new Supplier<Semaphore>() {
@Override
public Semaphore get() {
return new Semaphore(permits, false);
}
});
}
Creates a Striped<ReadWriteLock>
with eagerly initialized, strongly referenced read-write locks. Every lock is reentrant. Params: - stripes – the minimum number of stripes (locks) required
Returns: a new Striped<ReadWriteLock>
/**
* Creates a {@code Striped<ReadWriteLock>} with eagerly initialized, strongly referenced
* read-write locks. Every lock is reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped<ReadWriteLock>}
*/
public static Striped<ReadWriteLock> readWriteLock(int stripes) {
return custom(stripes, READ_WRITE_LOCK_SUPPLIER);
}
Creates a Striped<ReadWriteLock>
with lazily initialized, weakly referenced read-write locks. Every lock is reentrant. Params: - stripes – the minimum number of stripes (locks) required
Returns: a new Striped<ReadWriteLock>
/**
* Creates a {@code Striped<ReadWriteLock>} with lazily initialized, weakly referenced read-write
* locks. Every lock is reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped<ReadWriteLock>}
*/
public static Striped<ReadWriteLock> lazyWeakReadWriteLock(int stripes) {
return lazy(stripes, WEAK_SAFE_READ_WRITE_LOCK_SUPPLIER);
}
private static final Supplier<ReadWriteLock> READ_WRITE_LOCK_SUPPLIER =
new Supplier<ReadWriteLock>() {
@Override
public ReadWriteLock get() {
return new ReentrantReadWriteLock();
}
};
private static final Supplier<ReadWriteLock> WEAK_SAFE_READ_WRITE_LOCK_SUPPLIER =
new Supplier<ReadWriteLock>() {
@Override
public ReadWriteLock get() {
return new WeakSafeReadWriteLock();
}
};
ReadWriteLock implementation whose read and write locks retain a reference back to this lock. Otherwise, a reference to just the read lock or just the write lock would not suffice to ensure the ReadWriteLock
is retained. /**
* ReadWriteLock implementation whose read and write locks retain a reference back to this lock.
* Otherwise, a reference to just the read lock or just the write lock would not suffice to ensure
* the {@code ReadWriteLock} is retained.
*/
private static final class WeakSafeReadWriteLock implements ReadWriteLock {
private final ReadWriteLock delegate;
WeakSafeReadWriteLock() {
this.delegate = new ReentrantReadWriteLock();
}
@Override
public Lock readLock() {
return new WeakSafeLock(delegate.readLock(), this);
}
@Override
public Lock writeLock() {
return new WeakSafeLock(delegate.writeLock(), this);
}
}
Lock object that ensures a strong reference is retained to a specified object. /** Lock object that ensures a strong reference is retained to a specified object. */
private static final class WeakSafeLock extends ForwardingLock {
private final Lock delegate;
@SuppressWarnings("unused")
private final WeakSafeReadWriteLock strongReference;
WeakSafeLock(Lock delegate, WeakSafeReadWriteLock strongReference) {
this.delegate = delegate;
this.strongReference = strongReference;
}
@Override
Lock delegate() {
return delegate;
}
@Override
public Condition newCondition() {
return new WeakSafeCondition(delegate.newCondition(), strongReference);
}
}
Condition object that ensures a strong reference is retained to a specified object. /** Condition object that ensures a strong reference is retained to a specified object. */
private static final class WeakSafeCondition extends ForwardingCondition {
private final Condition delegate;
@SuppressWarnings("unused")
private final WeakSafeReadWriteLock strongReference;
WeakSafeCondition(Condition delegate, WeakSafeReadWriteLock strongReference) {
this.delegate = delegate;
this.strongReference = strongReference;
}
@Override
Condition delegate() {
return delegate;
}
}
private abstract static class PowerOfTwoStriped<L> extends Striped<L> {
Capacity (power of two) minus one, for fast mod evaluation /** Capacity (power of two) minus one, for fast mod evaluation */
final int mask;
PowerOfTwoStriped(int stripes) {
Preconditions.checkArgument(stripes > 0, "Stripes must be positive");
this.mask = stripes > Ints.MAX_POWER_OF_TWO ? ALL_SET : ceilToPowerOfTwo(stripes) - 1;
}
@Override
final int indexFor(Object key) {
int hash = smear(key.hashCode());
return hash & mask;
}
@Override
public final L get(Object key) {
return getAt(indexFor(key));
}
}
Implementation of Striped where 2^k stripes are represented as an array of the same length,
eagerly initialized.
/**
* Implementation of Striped where 2^k stripes are represented as an array of the same length,
* eagerly initialized.
*/
private static class CompactStriped<L> extends PowerOfTwoStriped<L> {
Size is a power of two. /** Size is a power of two. */
private final Object[] array;
private CompactStriped(int stripes, Supplier<L> supplier) {
super(stripes);
Preconditions.checkArgument(stripes <= Ints.MAX_POWER_OF_TWO, "Stripes must be <= 2^30)");
this.array = new Object[mask + 1];
for (int i = 0; i < array.length; i++) {
array[i] = supplier.get();
}
}
@SuppressWarnings("unchecked") // we only put L's in the array
@Override
public L getAt(int index) {
return (L) array[index];
}
@Override
public int size() {
return array.length;
}
}
Implementation of Striped where up to 2^k stripes can be represented, using an
AtomicReferenceArray of size 2^k. To map a user key into a stripe, we take a k-bit slice of the
user key's (smeared) hashCode(). The stripes are lazily initialized and are weakly referenced.
/**
* Implementation of Striped where up to 2^k stripes can be represented, using an
* AtomicReferenceArray of size 2^k. To map a user key into a stripe, we take a k-bit slice of the
* user key's (smeared) hashCode(). The stripes are lazily initialized and are weakly referenced.
*/
@VisibleForTesting
static class SmallLazyStriped<L> extends PowerOfTwoStriped<L> {
final AtomicReferenceArray<ArrayReference<? extends L>> locks;
final Supplier<L> supplier;
final int size;
final ReferenceQueue<L> queue = new ReferenceQueue<L>();
SmallLazyStriped(int stripes, Supplier<L> supplier) {
super(stripes);
this.size = (mask == ALL_SET) ? Integer.MAX_VALUE : mask + 1;
this.locks = new AtomicReferenceArray<>(size);
this.supplier = supplier;
}
@Override
public L getAt(int index) {
if (size != Integer.MAX_VALUE) {
Preconditions.checkElementIndex(index, size());
} // else no check necessary, all index values are valid
ArrayReference<? extends L> existingRef = locks.get(index);
L existing = existingRef == null ? null : existingRef.get();
if (existing != null) {
return existing;
}
L created = supplier.get();
ArrayReference<L> newRef = new ArrayReference<L>(created, index, queue);
while (!locks.compareAndSet(index, existingRef, newRef)) {
// we raced, we need to re-read and try again
existingRef = locks.get(index);
existing = existingRef == null ? null : existingRef.get();
if (existing != null) {
return existing;
}
}
drainQueue();
return created;
}
// N.B. Draining the queue is only necessary to ensure that we don't accumulate empty references
// in the array. We could skip this if we decide we don't care about holding on to Reference
// objects indefinitely.
private void drainQueue() {
Reference<? extends L> ref;
while ((ref = queue.poll()) != null) {
// We only ever register ArrayReferences with the queue so this is always safe.
ArrayReference<? extends L> arrayRef = (ArrayReference<? extends L>) ref;
// Try to clear out the array slot, n.b. if we fail that is fine, in either case the
// arrayRef will be out of the array after this step.
locks.compareAndSet(arrayRef.index, arrayRef, null);
}
}
@Override
public int size() {
return size;
}
private static final class ArrayReference<L> extends WeakReference<L> {
final int index;
ArrayReference(L referent, int index, ReferenceQueue<L> queue) {
super(referent, queue);
this.index = index;
}
}
}
Implementation of Striped where up to 2^k stripes can be represented, using a ConcurrentMap
where the key domain is [0..2^k). To map a user key into a stripe, we take a k-bit slice of the
user key's (smeared) hashCode(). The stripes are lazily initialized and are weakly referenced.
/**
* Implementation of Striped where up to 2^k stripes can be represented, using a ConcurrentMap
* where the key domain is [0..2^k). To map a user key into a stripe, we take a k-bit slice of the
* user key's (smeared) hashCode(). The stripes are lazily initialized and are weakly referenced.
*/
@VisibleForTesting
static class LargeLazyStriped<L> extends PowerOfTwoStriped<L> {
final ConcurrentMap<Integer, L> locks;
final Supplier<L> supplier;
final int size;
LargeLazyStriped(int stripes, Supplier<L> supplier) {
super(stripes);
this.size = (mask == ALL_SET) ? Integer.MAX_VALUE : mask + 1;
this.supplier = supplier;
this.locks = new MapMaker().weakValues().makeMap();
}
@Override
public L getAt(int index) {
if (size != Integer.MAX_VALUE) {
Preconditions.checkElementIndex(index, size());
} // else no check necessary, all index values are valid
L existing = locks.get(index);
if (existing != null) {
return existing;
}
L created = supplier.get();
existing = locks.putIfAbsent(index, created);
return MoreObjects.firstNonNull(existing, created);
}
@Override
public int size() {
return size;
}
}
A bit mask were all bits are set. /** A bit mask were all bits are set. */
private static final int ALL_SET = ~0;
private static int ceilToPowerOfTwo(int x) {
return 1 << IntMath.log2(x, RoundingMode.CEILING);
}
/*
* This method was written by Doug Lea with assistance from members of JCP JSR-166 Expert Group
* and released to the public domain, as explained at
* http://creativecommons.org/licenses/publicdomain
*
* As of 2010/06/11, this method is identical to the (package private) hash method in OpenJDK 7's
* java.util.HashMap class.
*/
// Copied from java/com/google/common/collect/Hashing.java
private static int smear(int hashCode) {
hashCode ^= (hashCode >>> 20) ^ (hashCode >>> 12);
return hashCode ^ (hashCode >>> 7) ^ (hashCode >>> 4);
}
private static class PaddedLock extends ReentrantLock {
/*
* Padding from 40 into 64 bytes, same size as cache line. Might be beneficial to add a fourth
* long here, to minimize chance of interference between consecutive locks, but I couldn't
* observe any benefit from that.
*/
long unused1;
long unused2;
long unused3;
PaddedLock() {
super(false);
}
}
private static class PaddedSemaphore extends Semaphore {
// See PaddedReentrantLock comment
long unused1;
long unused2;
long unused3;
PaddedSemaphore(int permits) {
super(permits, false);
}
}
}