common-utils/src/main/java/org/warp/commonutils/locks/Striped.java

523 lines
19 KiB
Java

/*
* 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 org.warp.commonutils.locks;
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.MapMaker;
import com.google.common.math.IntMath;
import com.google.common.primitives.Ints;
import it.cavallium.concurrentlocks.ReadWriteUpdateLock;
import it.cavallium.concurrentlocks.ReentrantReadWriteUpdateLock;
import it.unimi.dsi.fastutil.ints.IntAVLTreeSet;
import it.unimi.dsi.fastutil.objects.ObjectLinkedOpenHashSet;
import java.lang.ref.Reference;
import java.lang.ref.ReferenceQueue;
import java.lang.ref.WeakReference;
import java.math.RoundingMode;
import java.util.Collection;
import java.util.Collections;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.Semaphore;
import java.util.concurrent.atomic.AtomicReferenceArray;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import java.util.concurrent.locks.StampedLock;
/**
* 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.)
*/
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 {@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 {@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).
*/
abstract int indexFor(Object key);
/**
* 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 {@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) {
return Collections.unmodifiableCollection(bulkGet_(keys));
}
private Collection<L> bulkGet_(Iterable<?> keys) {
var stripes = new IntAVLTreeSet(Integer::compare);
for (Object key : keys) {
stripes.add(indexFor(key));
}
var locks = new ObjectLinkedOpenHashSet<L>();
stripes.forEach((int stripe) -> locks.add(getAt(stripe)));
return locks;
}
public Iterable<L> bulkGetAt(Iterable<Integer> keys) {
return Collections.unmodifiableCollection(bulkGetAt_(keys));
}
private Collection<L> bulkGetAt_(Iterable<Integer> keys) {
var stripes = new IntAVLTreeSet(Integer::compare);
for (Integer key : keys) {
stripes.add((int) key);
}
var locks = new ObjectLinkedOpenHashSet<L>();
for (Integer stripe : stripes) {
locks.add(getAt(stripe));
}
return locks;
}
// Static factories
/**
* 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 new CompactStriped<Lock>(stripes, new Supplier<Lock>() {
@Override
public Lock get() {
return new PaddedLock();
}
});
}
/**
* 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 {@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 new CompactStriped<Semaphore>(stripes, new Supplier<Semaphore>() {
@Override
public Semaphore get() {
return new PaddedSemaphore(permits);
}
});
}
/**
* 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 {@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 new CompactStriped<ReadWriteLock>(stripes, READ_WRITE_LOCK_SUPPLIER);
}
/**
* Creates a {@code Striped<StampedLock>} with eagerly initialized, strongly referenced read-write locks. Every lock
* is striped.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped<StampedLock>}
*/
public static Striped<StampedLock> readWriteStampedLock(int stripes) {
return new CompactStriped<StampedLock>(stripes, STAMPED_LOCK_SUPPLIER);
}
/**
* Creates a {@code Striped<ReadWriteLock>} with eagerly initialized, strongly referenced read-write-update locks.
* Every lock is reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped<ReadWriteUpdateLock>}
*/
public static Striped<ReadWriteUpdateLock> readWriteUpdateLock(int stripes) {
return new CompactStriped<ReadWriteUpdateLock>(stripes, READ_WRITE_UPDATE_LOCK_SUPPLIER);
}
/**
* 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, READ_WRITE_LOCK_SUPPLIER);
}
// ReentrantReadWriteLock is large enough to make padding probably unnecessary
private static final Supplier<ReadWriteLock> READ_WRITE_LOCK_SUPPLIER = new Supplier<ReadWriteLock>() {
@Override
public ReadWriteLock get() {
return new ReentrantReadWriteLock();
}
};
// StampedLock is large enough to make padding probably unnecessary
private static final Supplier<StampedLock> STAMPED_LOCK_SUPPLIER = new Supplier<StampedLock>() {
@Override
public StampedLock get() {
return new StampedLock();
}
};
// ReentrantReadWriteUpdateLock is large enough to make padding probably unnecessary
private static final Supplier<ReadWriteUpdateLock> READ_WRITE_UPDATE_LOCK_SUPPLIER = new Supplier<ReadWriteUpdateLock>() {
@Override
public ReadWriteUpdateLock get() {
return new ReentrantReadWriteUpdateLock();
}
};
private abstract static class PowerOfTwoStriped<L> extends Striped<L> {
/**
* 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.
*/
private static class CompactStriped<L> extends PowerOfTwoStriped<L> {
/**
* 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.
*/
@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<ArrayReference<? extends L>>(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.
*/
@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.
*/
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);
}
}
}