com.google.common.util.concurrent.Striped Maven / Gradle / Ivy
/*
* Original Guava code is copyright (C) 2015 The Guava Authors.
* Modifications from Guava are copyright (C) 2015 DiffPlug.
*
* 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 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.Lock;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import com.google.common.annotations.Beta;
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;
/**
* 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 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. {@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 not equal to {@code key2}, it is not
* 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.
*
*
There are three flavors of this class: {@code Striped}, {@code Striped},
* and {@code Striped}. For each type, two implementations are offered:
* {@linkplain #lock(int) strong} and {@linkplain #lazyWeakLock(int) weak}
* {@code Striped}, {@linkplain #semaphore(int, int) strong} and {@linkplain
* #lazyWeakSemaphore(int, int) weak} {@code Striped}, and {@linkplain
* #readWriteLock(int) strong} and {@linkplain #lazyWeakReadWriteLock(int) weak}
* {@code Striped}. Strong means that all stripes (locks/semaphores) are
* initialized eagerly, and are not reclaimed unless {@code 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 {@code
* Striped} 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 {@code Map}, 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} of {@code availableProcessors() * 4} stripes,
* instead of possibly thousands of locks which could be created in a {@code Map}
* structure.
*
* @author Dimitris Andreou
* @since 13.0
*/
@Beta
public abstract class Striped {
/**
* 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.
*
* It should be noted that using a {@code Striped} 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 Balls
* in Bins model 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 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 stripedLock = Striped.lazyWeakXXX(...)'
* Iterable 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 asList = (List) Arrays.asList(array);
return Collections.unmodifiableList(asList);
}
// Static factories
/**
* Creates a {@code Striped} with eagerly initialized, strongly referenced locks.
* Every lock is reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped}
*/
public static Striped lock(int stripes) {
return new CompactStriped(stripes, new Supplier() {
@Override
public Lock get() {
return new PaddedLock();
}
});
}
/**
* Creates a {@code Striped} with lazily initialized, weakly referenced locks.
* Every lock is reentrant.
*
* @param stripes the minimum number of stripes (locks) required
* @return a new {@code Striped}
*/
public static Striped lazyWeakLock(int stripes) {
return lazy(stripes, new Supplier() {
@Override
public Lock get() {
return new ReentrantLock(false);
}
});
}
private static Striped lazy(int stripes, Supplier supplier) {
return stripes < LARGE_LAZY_CUTOFF
? new SmallLazyStriped(stripes, supplier)
: new LargeLazyStriped(stripes, supplier);
}
/**
* Creates a {@code Striped} 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}
*/
public static Striped semaphore(int stripes, final int permits) {
return new CompactStriped(stripes, new Supplier() {
@Override
public Semaphore get() {
return new PaddedSemaphore(permits);
}
});
}
/**
* Creates a {@code Striped} 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}
*/
public static Striped lazyWeakSemaphore(int stripes, final int permits) {
return lazy(stripes, new Supplier() {
@Override
public Semaphore get() {
return new Semaphore(permits, false);
}
});
}
/**
* Creates a {@code Striped} 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}
*/
public static Striped readWriteLock(int stripes) {
return new CompactStriped(stripes, READ_WRITE_LOCK_SUPPLIER);
}
/**
* Creates a {@code Striped} 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}
*/
public static Striped lazyWeakReadWriteLock(int stripes) {
return lazy(stripes, READ_WRITE_LOCK_SUPPLIER);
}
// ReentrantReadWriteLock is large enough to make padding probably unnecessary
private static final Supplier READ_WRITE_LOCK_SUPPLIER = new Supplier() {
@Override
public ReadWriteLock get() {
return new ReentrantReadWriteLock();
}
};
private abstract static class PowerOfTwoStriped extends Striped {
/** 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 extends PowerOfTwoStriped {
/** Size is a power of two. */
private final Object[] array;
private CompactStriped(int stripes, Supplier 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 extends PowerOfTwoStriped {
final AtomicReferenceArray> locks;
final Supplier supplier;
final int size;
final ReferenceQueue queue = new ReferenceQueue();
SmallLazyStriped(int stripes, Supplier 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 existingRef = locks.get(index);
L existing = existingRef == null ? null : existingRef.get();
if (existing != null) {
return existing;
}
L created = supplier.get();
ArrayReference newRef = new ArrayReference(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 ref;
while ((ref = queue.poll()) != null) {
// We only ever register ArrayReferences with the queue so this is always safe.
ArrayReference arrayRef = (ArrayReference) 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 extends WeakReference {
final int index;
ArrayReference(L referent, int index, ReferenceQueue 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 extends PowerOfTwoStriped {
final ConcurrentMap locks;
final Supplier supplier;
final int size;
LargeLazyStriped(int stripes, Supplier 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);
}
}
}