//@formatter:off
/*
* Copyright 2010 Google Inc. All Rights Reserved.
*
* 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 jane.test.map;
import java.util.AbstractCollection;
import java.util.AbstractMap;
import java.util.AbstractSet;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Queue;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
/**
* A hash table supporting full concurrency of retrievals, adjustable expected
* concurrency for updates, and a maximum capacity to bound the map by. This
* implementation differs from {@link ConcurrentHashMap} in that it maintains a
* page replacement algorithm that is used to evict an entry when the map has
* exceeded its capacity. Unlike the <tt>Java Collections Framework</tt>, this
* map does not have a publicly visible constructor and instances are created
* through a {@link Builder}.
* <p>
* An entry is evicted from the map when the <tt>weighted capacity</tt> exceeds
* its <tt>maximum weighted capacity</tt> threshold. A {@link EntryWeigher}
* determines how many units of capacity that an entry consumes. The default
* weigher assigns each value a weight of <tt>1</tt> to bound the map by the
* total number of key-value pairs. A map that holds collections may choose to
* weigh values by the number of elements in the collection and bound the map
* by the total number of elements that it contains. A change to a value that
* modifies its weight requires that an update operation is performed on the
* map.
* <p>
* The <tt>concurrency level</tt> determines the number of threads that can
* concurrently modify the table. Using a significantly higher or lower value
* than needed can waste space or lead to thread contention, but an estimate
* within an order of magnitude of the ideal value does not usually have a
* noticeable impact. Because placement in hash tables is essentially random,
* the actual concurrency will vary.
* <p>
* This class and its views and iterators implement all of the
* <em>optional</em> methods of the {@link Map} and {@link Iterator}
* interfaces.
* <p>
* Like {@link java.util.Hashtable} but unlike {@link HashMap}, this class
* does <em>not</em> allow <tt>null</tt> to be used as a key or value. Unlike
* {@link java.util.LinkedHashMap}, this class does <em>not</em> provide
* predictable iteration order. A snapshot of the keys and entries may be
* obtained in ascending and descending order of retention.
*
* @author ben.manes@gmail.com (Ben Manes)
* @param <K> the type of keys maintained by this map
* @param <V> the type of mapped values
* @see <a href="http://code.google.com/p/concurrentlinkedhashmap/">
* http://code.google.com/p/concurrentlinkedhashmap/</a>
*/
// @ThreadSafe
public final class ConcurrentLinkedHashMap<K, V> extends AbstractMap<K, V>
implements ConcurrentMap<K, V> {
/*
* This class performs a best-effort bounding of a ConcurrentHashMap using a
* page-replacement algorithm to determine which entries to evict when the
* capacity is exceeded.
*
* The page replacement algorithm's data structures are kept eventually
* consistent with the map. An update to the map and recording of reads may
* not be immediately reflected on the algorithm's data structures. These
* structures are guarded by a lock and operations are applied in batches to
* avoid lock contention. The penalty of applying the batches is spread across
* threads so that the amortized cost is slightly higher than performing just
* the ConcurrentHashMap operation.
*
* A memento of the reads and writes that were performed on the map are
* recorded in buffers. These buffers are drained at the first opportunity
* after a write or when the read buffer exceeds a threshold size. The reads
* are recorded in a lossy buffer, allowing the reordering operations to be
* discarded if the draining process cannot keep up. Due to the concurrent
* nature of the read and write operations a strict policy ordering is not
* possible, but is observably strict when single threaded.
*
* Due to a lack of a strict ordering guarantee, a task can be executed
* out-of-order, such as a removal followed by its addition. The state of the
* entry is encoded within the value's weight.
*
* Alive: The entry is in both the hash-table and the page replacement policy.
* This is represented by a positive weight.
*
* Retired: The entry is not in the hash-table and is pending removal from the
* page replacement policy. This is represented by a negative weight.
*
* Dead: The entry is not in the hash-table and is not in the page replacement
* policy. This is represented by a weight of zero.
*
* The Least Recently Used page replacement algorithm was chosen due to its
* simplicity, high hit rate, and ability to be implemented with O(1) time
* complexity.
*/
/** The number of CPUs */
static final int NCPU = Runtime.getRuntime().availableProcessors();
/** The maximum weighted capacity of the map. */
static final long MAXIMUM_CAPACITY = Long.MAX_VALUE - Integer.MAX_VALUE;
/** The number of read buffers to use. */
static final int NUMBER_OF_READ_BUFFERS = ceilingNextPowerOfTwo(NCPU);
/** Mask value for indexing into the read buffers. */
static final int READ_BUFFERS_MASK = NUMBER_OF_READ_BUFFERS - 1;
/** The number of pending read operations before attempting to drain. */
static final int READ_BUFFER_THRESHOLD = 32;
/** The maximum number of read operations to perform per amortized drain. */
static final int READ_BUFFER_DRAIN_THRESHOLD = 2 * READ_BUFFER_THRESHOLD;
/** The maximum number of pending reads per buffer. */
static final int READ_BUFFER_SIZE = 2 * READ_BUFFER_DRAIN_THRESHOLD;
/** Mask value for indexing into the read buffer. */
static final int READ_BUFFER_INDEX_MASK = READ_BUFFER_SIZE - 1;
/** The maximum number of write operations to perform per amortized drain. */
static final int WRITE_BUFFER_DRAIN_THRESHOLD = 16;
private static int ceilingNextPowerOfTwo(int x) {
// From Hacker's Delight, Chapter 3, Harry S. Warren Jr.
return 1 << (Integer.SIZE - Integer.numberOfLeadingZeros(x - 1));
}
// The backing data store holding the key-value associations
private final ConcurrentMap<K, Node<K, V>> data;
private final int concurrencyLevel;
// These fields provide support to bound the map by a maximum capacity
// @GuardedBy("evictionLock")
private final long[] readBufferReadCount;
// @GuardedBy("evictionLock")
private final LinkedDeque<Node<K, V>> evictionDeque;
// @GuardedBy("evictionLock") // must write under lock
private final AtomicLong weightedSize;
// @GuardedBy("evictionLock") // must write under lock
private final AtomicLong capacity;
private final Lock evictionLock;
private final Queue<Runnable> writeBuffer;
private final AtomicLong[] readBufferWriteCount;
private final AtomicLong[] readBufferDrainAtWriteCount;
private final AtomicReference<Node<K, V>>[][] readBuffers;
private final AtomicReference<DrainStatus> drainStatus;
private transient Set<K> keySet;
private transient Collection<V> values;
private transient Set<Entry<K, V>> entrySet;
/**
* Creates an instance based on the builder's configuration.
*/
@SuppressWarnings({"unchecked"})
private ConcurrentLinkedHashMap(Builder builder) {
// The data store and its maximum capacity
concurrencyLevel = builder.concurrencyLevel;
capacity = new AtomicLong(Math.min(builder.capacity, MAXIMUM_CAPACITY));
data = new ConcurrentHashMap<>(builder.initialCapacity, 0.75f, concurrencyLevel);
// The eviction support
evictionLock = new ReentrantLock();
weightedSize = new AtomicLong();
evictionDeque = new LinkedDeque<>();
writeBuffer = new ConcurrentLinkedQueue<>();
drainStatus = new AtomicReference<>(DrainStatus.IDLE);
readBufferReadCount = new long[NUMBER_OF_READ_BUFFERS];
readBufferWriteCount = new AtomicLong[NUMBER_OF_READ_BUFFERS];
readBufferDrainAtWriteCount = new AtomicLong[NUMBER_OF_READ_BUFFERS];
readBuffers = new AtomicReference[NUMBER_OF_READ_BUFFERS][READ_BUFFER_SIZE];
for (int i = 0; i < NUMBER_OF_READ_BUFFERS; i++) {
readBufferWriteCount[i] = new AtomicLong();
readBufferDrainAtWriteCount[i] = new AtomicLong();
readBuffers[i] = new AtomicReference[READ_BUFFER_SIZE];
for (int j = 0; j < READ_BUFFER_SIZE; j++) {
readBuffers[i][j] = new AtomicReference<>();
}
}
}
/** Ensures that the object is not null. */
static void checkNotNull(Object o) {
if (o == null) {
throw new NullPointerException();
}
}
/** Ensures that the argument expression is true. */
static void checkArgument(boolean expression) {
if (!expression) {
throw new IllegalArgumentException();
}
}
/** Ensures that the state expression is true. */
static void checkState(boolean expression) {
if (!expression) {
throw new IllegalStateException();
}
}
/* ---------------- Eviction Support -------------- */
/**
* Retrieves the maximum weighted capacity of the map.
*
* @return the maximum weighted capacity
*/
public long capacity() {
return capacity.get();
}
/**
* Sets the maximum weighted capacity of the map and eagerly evicts entries
* until it shrinks to the appropriate size.
*
* @param capacity the maximum weighted capacity of the map
* @throws IllegalArgumentException if the capacity is negative
*/
public void setCapacity(long capacity) {
checkArgument(capacity >= 0);
evictionLock.lock();
try {
this.capacity.lazySet(Math.min(capacity, MAXIMUM_CAPACITY));
drainBuffers();
evict();
} finally {
evictionLock.unlock();
}
}
/** Determines whether the map has exceeded its capacity. */
// @GuardedBy("evictionLock")
private boolean hasOverflowed() {
return weightedSize.get() > capacity.get();
}
/**
* Evicts entries from the map while it exceeds the capacity and appends
* evicted entries to the notification queue for processing.
*/
// @GuardedBy("evictionLock")
private void evict() {
// Attempts to evict entries from the map if it exceeds the maximum
// capacity. If the eviction fails due to a concurrent removal of the
// victim, that removal may cancel out the addition that triggered this
// eviction. The victim is eagerly unlinked before the removal task so
// that if an eviction is still required then a new victim will be chosen
// for removal.
while (hasOverflowed()) {
final Node<K, V> node = evictionDeque.poll();
// If weighted values are used, then the pending operations will adjust
// the size to reflect the correct weight
if (node == null) {
return;
}
// Notify the listener only if the entry was evicted
if (data.remove(node.key, node)) {
}
makeDead(node);
}
}
/**
* Performs the post-processing work required after a read.
*
* @param node the entry in the page replacement policy
*/
private void afterRead(Node<K, V> node) {
final int bufferIndex = readBufferIndex();
final long writeCount = recordRead(bufferIndex, node);
drainOnReadIfNeeded(bufferIndex, writeCount);
}
/** Returns the index to the read buffer to record into. */
static int readBufferIndex() {
// A buffer is chosen by the thread's id so that tasks are distributed in a
// pseudo evenly manner. This helps avoid hot entries causing contention
// due to other threads trying to append to the same buffer.
return ((int) Thread.currentThread().getId()) & READ_BUFFERS_MASK;
}
/**
* Records a read in the buffer and return its write count.
*
* @param bufferIndex the index to the chosen read buffer
* @param node the entry in the page replacement policy
* @return the number of writes on the chosen read buffer
*/
private long recordRead(int bufferIndex, Node<K, V> node) {
// The location in the buffer is chosen in a racy fashion as the increment
// is not atomic with the insertion. This means that concurrent reads can
// overlap and overwrite one another, resulting in a lossy buffer.
final AtomicLong counter = readBufferWriteCount[bufferIndex];
final long writeCount = counter.get();
counter.lazySet(writeCount + 1);
final int index = (int) (writeCount & READ_BUFFER_INDEX_MASK);
readBuffers[bufferIndex][index].lazySet(node);
return writeCount;
}
/**
* Attempts to drain the buffers if it is determined to be needed when
* post-processing a read.
*
* @param bufferIndex the index to the chosen read buffer
* @param writeCount the number of writes on the chosen read buffer
*/
private void drainOnReadIfNeeded(int bufferIndex, long writeCount) {
final long pending = (writeCount - readBufferDrainAtWriteCount[bufferIndex].get());
final boolean delayable = (pending < READ_BUFFER_THRESHOLD);
final DrainStatus status = drainStatus.get();
if (status.shouldDrainBuffers(delayable)) {
tryToDrainBuffers();
}
}
/**
* Performs the post-processing work required after a write.
*
* @param task the pending operation to be applied
*/
private void afterWrite(Runnable task) {
writeBuffer.add(task);
drainStatus.lazySet(DrainStatus.REQUIRED);
tryToDrainBuffers();
}
/**
* Attempts to acquire the eviction lock and apply the pending operations, up
* to the amortized threshold, to the page replacement policy.
*/
private void tryToDrainBuffers() {
if (evictionLock.tryLock()) {
try {
drainStatus.lazySet(DrainStatus.PROCESSING);
drainBuffers();
} finally {
drainStatus.compareAndSet(DrainStatus.PROCESSING, DrainStatus.IDLE);
evictionLock.unlock();
}
}
}
/** Drains the read and write buffers up to an amortized threshold. */
// @GuardedBy("evictionLock")
private void drainBuffers() {
drainReadBuffers();
drainWriteBuffer();
}
/** Drains the read buffers, each up to an amortized threshold. */
// @GuardedBy("evictionLock")
private void drainReadBuffers() {
final int start = (int) Thread.currentThread().getId();
final int end = start + NUMBER_OF_READ_BUFFERS;
for (int i = start; i < end; i++) {
drainReadBuffer(i & READ_BUFFERS_MASK);
}
}
/** Drains the read buffer up to an amortized threshold. */
// @GuardedBy("evictionLock")
private void drainReadBuffer(int bufferIndex) {
final long writeCount = readBufferWriteCount[bufferIndex].get();
for (int i = 0; i < READ_BUFFER_DRAIN_THRESHOLD; i++) {
final int index = (int) (readBufferReadCount[bufferIndex] & READ_BUFFER_INDEX_MASK);
final AtomicReference<Node<K, V>> slot = readBuffers[bufferIndex][index];
final Node<K, V> node = slot.get();
if (node == null) {
break;
}
slot.lazySet(null);
applyRead(node);
readBufferReadCount[bufferIndex]++;
}
readBufferDrainAtWriteCount[bufferIndex].lazySet(writeCount);
}
/** Updates the node's location in the page replacement policy. */
// @GuardedBy("evictionLock")
private void applyRead(Node<K, V> node) {
// An entry may be scheduled for reordering despite having been removed.
// This can occur when the entry was concurrently read while a writer was
// removing it. If the entry is no longer linked then it does not need to
// be processed.
if (evictionDeque.contains(node)) {
evictionDeque.moveToBack(node);
}
}
/** Drains the read buffer up to an amortized threshold. */
// @GuardedBy("evictionLock")
private void drainWriteBuffer() {
for (int i = 0; i < WRITE_BUFFER_DRAIN_THRESHOLD; i++) {
final Runnable task = writeBuffer.poll();
if (task == null) {
break;
}
task.run();
}
}
/**
* Attempts to transition the node from the <tt>alive</tt> state to the
* <tt>retired</tt> state.
*
* @param node the entry in the page replacement policy
* @param expect the expected weighted value
* @return if successful
*/
private static <K, V> boolean tryToRetire(Node<K, V> node, WeightedValue<V> expect) {
if (expect.isAlive()) {
final WeightedValue<V> retired = new WeightedValue<>(expect.value, -expect.weight);
return node.compareAndSet(expect, retired);
}
return false;
}
/**
* Atomically transitions the node from the <tt>alive</tt> state to the
* <tt>retired</tt> state, if a valid transition.
*
* @param node the entry in the page replacement policy
*/
private static <K, V> void makeRetired(Node<K, V> node) {
for (;;) {
final WeightedValue<V> current = node.get();
if (!current.isAlive()) {
return;
}
final WeightedValue<V> retired = new WeightedValue<>(current.value, -current.weight);
if (node.compareAndSet(current, retired)) {
return;
}
}
}
/**
* Atomically transitions the node to the <tt>dead</tt> state and decrements
* the <tt>weightedSize</tt>.
*
* @param node the entry in the page replacement policy
*/
// @GuardedBy("evictionLock")
private void makeDead(Node<K, V> node) {
for (;;) {
WeightedValue<V> current = node.get();
WeightedValue<V> dead = new WeightedValue<>(current.value, 0);
if (node.compareAndSet(current, dead)) {
weightedSize.lazySet(weightedSize.get() - Math.abs(current.weight));
return;
}
}
}
/** Adds the node to the page replacement policy. */
private final class AddTask implements Runnable {
private final Node<K, V> node;
private final int weight;
private AddTask(Node<K, V> node, int weight) {
this.weight = weight;
this.node = node;
}
@Override
// @GuardedBy("evictionLock")
public void run() {
weightedSize.lazySet(weightedSize.get() + weight);
// ignore out-of-order write operations
if (node.get().isAlive()) {
evictionDeque.add(node);
evict();
}
}
}
/** Removes a node from the page replacement policy. */
private final class RemovalTask implements Runnable {
private final Node<K, V> node;
private RemovalTask(Node<K, V> node) {
this.node = node;
}
@Override
// @GuardedBy("evictionLock")
public void run() {
// add may not have been processed yet
evictionDeque.remove(node);
makeDead(node);
}
}
/** Updates the weighted size and evicts an entry on overflow. */
private final class UpdateTask implements Runnable {
private final int weightDifference;
private final Node<K, V> node;
private UpdateTask(Node<K, V> node, int weightDifference) {
this.weightDifference = weightDifference;
this.node = node;
}
@Override
// @GuardedBy("evictionLock")
public void run() {
weightedSize.lazySet(weightedSize.get() + weightDifference);
applyRead(node);
evict();
}
}
/* ---------------- Concurrent Map Support -------------- */
@Override
public boolean isEmpty() {
return data.isEmpty();
}
@Override
public int size() {
return data.size();
}
/**
* Returns the weighted size of this map.
*
* @return the combined weight of the values in this map
*/
public long weightedSize() {
return Math.max(0, weightedSize.get());
}
@Override
public void clear() {
evictionLock.lock();
try {
// Discard all entries
Node<K, V> node;
while ((node = evictionDeque.poll()) != null) {
data.remove(node.key, node);
makeDead(node);
}
// Discard all pending reads
for (AtomicReference<Node<K, V>>[] buffer : readBuffers) {
for (AtomicReference<Node<K, V>> slot : buffer) {
slot.lazySet(null);
}
}
// Apply all pending writes
Runnable task;
while ((task = writeBuffer.poll()) != null) {
task.run();
}
} finally {
evictionLock.unlock();
}
}
@Override
public boolean containsKey(Object key) {
return data.containsKey(key);
}
@Override
public boolean containsValue(Object value) {
checkNotNull(value);
for (Node<K, V> node : data.values()) {
if (node.getValue().equals(value)) {
return true;
}
}
return false;
}
@Override
public V get(Object key) {
final Node<K, V> node = data.get(key);
if (node == null) {
return null;
}
afterRead(node);
return node.getValue();
}
/**
* Returns the value to which the specified key is mapped, or {@code null}
* if this map contains no mapping for the key. This method differs from
* {@link #get(Object)} in that it does not record the operation with the
* page replacement policy.
*
* @param key the key whose associated value is to be returned
* @return the value to which the specified key is mapped, or
* {@code null} if this map contains no mapping for the key
* @throws NullPointerException if the specified key is null
*/
public V getQuietly(Object key) {
final Node<K, V> node = data.get(key);
return (node == null) ? null : node.getValue();
}
@Override
public V put(K key, V value) {
return put(key, value, false);
}
@Override
public V putIfAbsent(K key, V value) {
return put(key, value, true);
}
/**
* Adds a node to the list and the data store. If an existing node is found,
* then its value is updated if allowed.
*
* @param key key with which the specified value is to be associated
* @param value value to be associated with the specified key
* @param onlyIfAbsent a write is performed only if the key is not already
* associated with a value
* @return the prior value in the data store or null if no mapping was found
*/
V put(K key, V value, boolean onlyIfAbsent) {
checkNotNull(key);
checkNotNull(value);
final int weight = 1;
final WeightedValue<V> weightedValue = new WeightedValue<>(value, weight);
final Node<K, V> node = new Node<>(key, weightedValue);
for (;;) {
final Node<K, V> prior = data.putIfAbsent(node.key, node);
if (prior == null) {
afterWrite(new AddTask(node, weight));
return null;
} else if (onlyIfAbsent) {
afterRead(prior);
return prior.getValue();
}
for (;;) {
final WeightedValue<V> oldWeightedValue = prior.get();
if (!oldWeightedValue.isAlive()) {
break;
}
if (prior.compareAndSet(oldWeightedValue, weightedValue)) {
final int weightedDifference = weight - oldWeightedValue.weight;
if (weightedDifference == 0) {
afterRead(prior);
} else {
afterWrite(new UpdateTask(prior, weightedDifference));
}
return oldWeightedValue.value;
}
}
}
}
@Override
public V remove(Object key) {
final Node<K, V> node = data.remove(key);
if (node == null) {
return null;
}
makeRetired(node);
afterWrite(new RemovalTask(node));
return node.getValue();
}
@Override
public boolean remove(Object key, Object value) {
final Node<K, V> node = data.get(key);
if ((node == null) || (value == null)) {
return false;
}
WeightedValue<V> weightedValue = node.get();
for (;;) {
if (weightedValue.contains(value)) {
if (tryToRetire(node, weightedValue)) {
if (data.remove(key, node)) {
afterWrite(new RemovalTask(node));
return true;
}
} else {
weightedValue = node.get();
if (weightedValue.isAlive()) {
// retry as an intermediate update may have replaced the value with
// an equal instance that has a different reference identity
continue;
}
}
}
return false;
}
}
@Override
public V replace(K key, V value) {
checkNotNull(key);
checkNotNull(value);
final int weight = 1;
final WeightedValue<V> weightedValue = new WeightedValue<>(value, weight);
final Node<K, V> node = data.get(key);
if (node == null) {
return null;
}
for (;;) {
final WeightedValue<V> oldWeightedValue = node.get();
if (!oldWeightedValue.isAlive()) {
return null;
}
if (node.compareAndSet(oldWeightedValue, weightedValue)) {
final int weightedDifference = weight - oldWeightedValue.weight;
if (weightedDifference == 0) {
afterRead(node);
} else {
afterWrite(new UpdateTask(node, weightedDifference));
}
return oldWeightedValue.value;
}
}
}
@Override
public boolean replace(K key, V oldValue, V newValue) {
checkNotNull(key);
checkNotNull(oldValue);
checkNotNull(newValue);
final int weight = 1;
final WeightedValue<V> newWeightedValue = new WeightedValue<>(newValue, weight);
final Node<K, V> node = data.get(key);
if (node == null) {
return false;
}
for (;;) {
final WeightedValue<V> weightedValue = node.get();
if (!weightedValue.isAlive() || !weightedValue.contains(oldValue)) {
return false;
}
if (node.compareAndSet(weightedValue, newWeightedValue)) {
final int weightedDifference = weight - weightedValue.weight;
if (weightedDifference == 0) {
afterRead(node);
} else {
afterWrite(new UpdateTask(node, weightedDifference));
}
return true;
}
}
}
@Override
public Set<K> keySet() {
final Set<K> ks = keySet;
return (ks == null) ? (keySet = new KeySet()) : ks;
}
@Override
public Collection<V> values() {
final Collection<V> vs = values;
return (vs == null) ? (values = new Values()) : vs;
}
@Override
public Set<Entry<K, V>> entrySet() {
final Set<Entry<K, V>> es = entrySet;
return (es == null) ? (entrySet = new EntrySet()) : es;
}
/** The draining status of the buffers. */
static enum DrainStatus {
/** A drain is not taking place. */
IDLE {
@Override boolean shouldDrainBuffers(boolean delayable) {
return !delayable;
}
},
/** A drain is required due to a pending write modification. */
REQUIRED {
@Override boolean shouldDrainBuffers(boolean delayable) {
return true;
}
},
/** A drain is in progress. */
PROCESSING {
@Override boolean shouldDrainBuffers(boolean delayable) {
return false;
}
};
/**
* Determines whether the buffers should be drained.
*
* @param delayable if a drain should be delayed until required
* @return if a drain should be attempted
*/
abstract boolean shouldDrainBuffers(boolean delayable);
}
/** A value, its weight, and the entry's status. */
// @Immutable
static final class WeightedValue<V> {
final int weight;
final V value;
WeightedValue(V value, int weight) {
this.weight = weight;
this.value = value;
}
boolean contains(Object o) {
return (o == value) || value.equals(o);
}
/**
* If the entry is available in the hash-table and page replacement policy.
*/
boolean isAlive() {
return weight > 0;
}
}
/**
* A node contains the key, the weighted value, and the linkage pointers on
* the page-replacement algorithm's data structures.
*/
@SuppressWarnings("serial")
private static final class Node<K, V> extends AtomicReference<WeightedValue<V>>
implements Linked<Node<K, V>> {
private final K key;
// @GuardedBy("evictionLock")
private Node<K, V> prev;
// @GuardedBy("evictionLock")
private Node<K, V> next;
/** Creates a new, unlinked node. */
private Node(K key, WeightedValue<V> weightedValue) {
super(weightedValue);
this.key = key;
}
@Override
// @GuardedBy("evictionLock")
public Node<K, V> getPrevious() {
return prev;
}
@Override
// @GuardedBy("evictionLock")
public void setPrevious(Node<K, V> prev) {
this.prev = prev;
}
@Override
// @GuardedBy("evictionLock")
public Node<K, V> getNext() {
return next;
}
@Override
// @GuardedBy("evictionLock")
public void setNext(Node<K, V> next) {
this.next = next;
}
/** Retrieves the value held by the current <tt>WeightedValue</tt>. */
private V getValue() {
return get().value;
}
}
/** An adapter to safely externalize the keys. */
private final class KeySet extends AbstractSet<K> {
@Override
public int size() {
return ConcurrentLinkedHashMap.this.size();
}
@Override
public void clear() {
ConcurrentLinkedHashMap.this.clear();
}
@Override
public Iterator<K> iterator() {
return data.keySet().iterator();
}
@Override
public boolean contains(Object obj) {
return containsKey(obj);
}
@Override
public boolean remove(Object obj) {
return (ConcurrentLinkedHashMap.this.remove(obj) != null);
}
@Override
public Object[] toArray() {
return data.keySet().toArray();
}
@Override
public <T> T[] toArray(T[] array) {
return data.keySet().toArray(array);
}
}
/** An adapter to safely externalize the values. */
private final class Values extends AbstractCollection<V> {
@Override
public int size() {
return ConcurrentLinkedHashMap.this.size();
}
@Override
public void clear() {
ConcurrentLinkedHashMap.this.clear();
}
@Override
public Iterator<V> iterator() {
return new ValueIterator();
}
@Override
public boolean contains(Object o) {
return containsValue(o);
}
}
/** An adapter to safely externalize the value iterator. */
private final class ValueIterator implements Iterator<V> {
final Iterator<Node<K, V>> iterator = data.values().iterator();
@Override
public boolean hasNext() {
return iterator.hasNext();
}
@Override
public V next() {
return iterator.next().getValue();
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
}
/** An adapter to safely externalize the entries. */
private final class EntrySet extends AbstractSet<Entry<K, V>> {
@Override
public int size() {
return ConcurrentLinkedHashMap.this.size();
}
@Override
public void clear() {
ConcurrentLinkedHashMap.this.clear();
}
@Override
public Iterator<Entry<K, V>> iterator() {
return new EntryIterator();
}
@Override
public boolean contains(Object obj) {
if (!(obj instanceof Entry<?, ?>)) {
return false;
}
Entry<?, ?> entry = (Entry<?, ?>) obj;
Node<K, V> node = data.get(entry.getKey());
return (node != null) && (node.getValue().equals(entry.getValue()));
}
@Override
public boolean add(Entry<K, V> entry) {
return (putIfAbsent(entry.getKey(), entry.getValue()) == null);
}
@Override
public boolean remove(Object obj) {
if (!(obj instanceof Entry<?, ?>)) {
return false;
}
Entry<?, ?> entry = (Entry<?, ?>) obj;
return ConcurrentLinkedHashMap.this.remove(entry.getKey(), entry.getValue());
}
}
/** An adapter to safely externalize the entry iterator. */
private final class EntryIterator implements Iterator<Entry<K, V>> {
private final Iterator<Node<K, V>> iterator = data.values().iterator();
@Override
public boolean hasNext() {
return iterator.hasNext();
}
@Override
public Entry<K, V> next() {
return new WriteThroughEntry(iterator.next());
}
@Override
public void remove() {
throw new UnsupportedOperationException();
}
}
/** An entry that allows updates to write through to the map. */
private final class WriteThroughEntry extends SimpleEntry<K, V> {
private static final long serialVersionUID = 1L;
private WriteThroughEntry(Node<K, V> node) {
super(node.key, node.getValue());
}
@Override
public V setValue(V value) {
put(getKey(), value);
return super.setValue(value);
}
}
/* ---------------- Builder -------------- */
/**
* A builder that creates {@link ConcurrentLinkedHashMap} instances. It
* provides a flexible approach for constructing customized instances with
* a named parameter syntax. It can be used in the following manner:
* <pre>{@code
* ConcurrentMap<Vertex, Set<Edge>> graph = new Builder()
* .maximumWeightedCapacity(5000)
* .<Vertex, Set<Edge>>build();
* }</pre>
*/
public static class Builder {
private static final int DEFAULT_CONCURRENCY_LEVEL = 16;
private static final int DEFAULT_INITIAL_CAPACITY = 16;
int concurrencyLevel;
int initialCapacity;
long capacity;
public Builder() {
capacity = -1;
initialCapacity = DEFAULT_INITIAL_CAPACITY;
concurrencyLevel = DEFAULT_CONCURRENCY_LEVEL;
}
/**
* Specifies the initial capacity of the hash table (default <tt>16</tt>).
* This is the number of key-value pairs that the hash table can hold
* before a resize operation is required.
*
* @param cap the initial capacity used to size the hash table
* to accommodate this many entries.
* @throws IllegalArgumentException if the initialCapacity is negative
*/
public Builder initialCapacity(int cap) {
checkArgument(cap >= 0);
this.initialCapacity = cap;
return this;
}
/**
* Specifies the maximum weighted capacity to coerce the map to and may
* exceed it temporarily.
*
* @param cap the weighted threshold to bound the map by
* @throws IllegalArgumentException if the maximumWeightedCapacity is
* negative
*/
public Builder maximumWeightedCapacity(long cap) {
checkArgument(cap >= 0);
this.capacity = cap;
return this;
}
/**
* Specifies the estimated number of concurrently updating threads. The
* implementation performs internal sizing to try to accommodate this many
* threads (default <tt>16</tt>).
*
* @param level the estimated number of concurrently updating
* threads
* @throws IllegalArgumentException if the concurrencyLevel is less than or
* equal to zero
*/
public Builder concurrencyLevel(int level) {
checkArgument(level > 0);
this.concurrencyLevel = level;
return this;
}
/**
* Creates a new {@link ConcurrentLinkedHashMap} instance.
*
* @throws IllegalStateException if the maximum weighted capacity was
* not set
*/
public <K, V> ConcurrentLinkedHashMap<K, V> build() {
checkState(capacity >= 0);
return new ConcurrentLinkedHashMap<>(this);
}
public <V> LongConcurrentLinkedHashMap<V> buildLong() {
checkState(capacity >= 0);
return new LongConcurrentLinkedHashMap<>(this);
}
}
}