/
ConcurrentReferenceHashMap.java
2046 lines (1837 loc) · 73 KB
/
ConcurrentReferenceHashMap.java
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/*
* Copyright (c) 2008-2021, Hazelcast, 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 com.hazelcast.internal.util;
/*
* 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
*/
import com.hazelcast.internal.serialization.SerializableByConvention;
import edu.umd.cs.findbugs.annotations.SuppressFBWarnings;
import java.io.IOException;
import java.io.Serializable;
import java.lang.ref.Reference;
import java.lang.ref.ReferenceQueue;
import java.lang.ref.SoftReference;
import java.lang.ref.WeakReference;
import java.util.AbstractCollection;
import java.util.AbstractMap;
import java.util.AbstractSet;
import java.util.Collection;
import java.util.ConcurrentModificationException;
import java.util.EnumSet;
import java.util.Enumeration;
import java.util.HashMap;
import java.util.Hashtable;
import java.util.IdentityHashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.concurrent.locks.ReentrantLock;
import java.util.function.BiFunction;
import java.util.function.Function;
import static com.hazelcast.internal.util.Preconditions.checkNotNull;
/**
* An advanced hash table supporting configurable garbage collection semantics
* of keys and values, optional referential-equality, full concurrency of
* retrievals, and adjustable expected concurrency for updates.
* <p>
* This table is designed around specific advanced use-cases. If there is any
* doubt whether this table is for you, you most likely should be using
* {@link java.util.concurrent.ConcurrentHashMap} instead.
* <p>
* This table supports strong, weak, and soft keys and values. By default keys
* are weak, and values are strong. Such a configuration offers similar behavior
* to {@link java.util.WeakHashMap}, entries of this table are periodically
* removed once their corresponding keys are no longer referenced outside of
* this table. In other words, this table will not prevent a key from being
* discarded by the garbage collector. Once a key has been discarded by the
* collector, the corresponding entry is no longer visible to this table;
* however, the entry may occupy space until a future table operation decides to
* reclaim it. For this reason, summary functions such as <tt>size</tt> and
* <tt>isEmpty</tt> might return a value greater than the observed number of
* entries. In order to support a high level of concurrency, stale entries are
* only reclaimed during blocking (usually mutating) operations.
* <p>
* Enabling soft keys allows entries in this table to remain until their space
* is absolutely needed by the garbage collector. This is unlike weak keys which
* can be reclaimed as soon as they are no longer referenced by a normal strong
* reference. The primary use case for soft keys is a cache, which ideally
* occupies memory that is not in use for as long as possible.
* <p>
* By default, values are held using a normal strong reference. This provides
* the commonly desired guarantee that a value will always have at least the
* same life-span as it's key. For this reason, care should be taken to ensure
* that a value never refers, either directly or indirectly, to its key, thereby
* preventing reclamation. If this is unavoidable, then it is recommended to use
* the same reference type in use for the key. However, it should be noted that
* non-strong values may disappear before their corresponding key.
* <p>
* While this table does allow the use of both strong keys and values, it is
* recommended you use {@link java.util.concurrent.ConcurrentHashMap} for such a
* configuration, since it is optimized for that case.
* <p>
* Just like {@link java.util.concurrent.ConcurrentHashMap}, this class obeys
* the same functional specification as {@link java.util.Hashtable}, and
* includes versions of methods corresponding to each method of
* <tt>Hashtable</tt>. However, even though all operations are thread-safe,
* retrieval operations do <em>not</em> entail locking, and there is
* <em>not</em> any support for locking the entire table in a way that
* prevents all access. This class is fully interoperable with
* <tt>Hashtable</tt> in programs that rely on its thread safety but not on
* its synchronization details.
* <p>
* <p>
* Retrieval operations (including <tt>get</tt>) generally do not block, so they
* may overlap with update operations (including <tt>put</tt> and
* <tt>remove</tt>). Retrievals reflect the results of the most recently
* <em>completed</em> update operations holding upon their onset. For
* aggregate operations such as <tt>putAll</tt> and <tt>clear</tt>,
* concurrent retrievals may reflect insertion or removal of only some entries.
* Similarly, Iterators and Enumerations return elements reflecting the state of
* the hash table at some point at or since the creation of the
* iterator/enumeration. They do <em>not</em> throw
* {@link ConcurrentModificationException}. However, iterators are designed to
* be used by only one thread at a time.
* <p>
* <p>
* The allowed concurrency among update operations is guided by the optional
* <tt>concurrencyLevel</tt> constructor argument (default <tt>16</tt>),
* which is used as a hint for internal sizing. The table is internally
* partitioned to try to permit the indicated number of concurrent updates
* without contention. Because placement in hash tables is essentially random,
* the actual concurrency will vary. Ideally, you should choose a value to
* accommodate as many threads as will ever concurrently modify the table. Using
* a significantly higher value than you need can waste space and time, and a
* significantly lower value can lead to thread contention. But overestimates
* and underestimates within an order of magnitude do not usually have much
* noticeable impact. A value of one is appropriate when it is known that only
* one thread will modify and all others will only read. Also, resizing this or
* any other kind of hash table is a relatively slow operation, so, when
* possible, it is a good idea that you provide estimates of expected table sizes in
* constructors.
* <p>
* <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>
* <p>
* Like {@link Hashtable} but unlike {@link HashMap}, this class does
* <em>not</em> allow <tt>null</tt> to be used as a key or value.
* <p>
* <p>
* This class is a member of the <a href="{@docRoot}/../technotes/guides/collections/index.html">
* Java Collections Framework</a>.
*
* @param <K> the type of keys maintained by this map
* @param <V> the type of mapped values
* @author Doug Lea
* @author Jason T. Greene
*/
@SuppressWarnings("all")
@SerializableByConvention
public class ConcurrentReferenceHashMap<K, V> extends AbstractMap<K, V>
implements com.hazelcast.internal.util.IConcurrentMap<K, V>, Serializable {
/*
* The basic strategy is to subdivide the table among Segments,
* each of which itself is a concurrently readable hash table.
*/
/**
* An option specifying which Java reference type should be used to refer
* to a key and/or value.
*/
public static enum ReferenceType {
/**
* Indicates a normal Java strong reference should be used
*/
STRONG,
/**
* Indicates a {@link WeakReference} should be used
*/
WEAK,
/**
* Indicates a {@link SoftReference} should be used
*/
SOFT
}
;
/**
* Behavior-changing configuration options for the map
*/
public static enum Option {
/**
* Indicates that referential-equality (== instead of .equals()) should
* be used when locating keys. This offers similar behavior to {@link IdentityHashMap}
*/
IDENTITY_COMPARISONS
}
;
/* ---------------- Constants -------------- */
static final ReferenceType DEFAULT_KEY_TYPE = ReferenceType.WEAK;
static final ReferenceType DEFAULT_VALUE_TYPE = ReferenceType.STRONG;
/**
* The default initial capacity for this table,
* used when not otherwise specified in a constructor.
*/
static final int DEFAULT_INITIAL_CAPACITY = 16;
/**
* The default load factor for this table, used when not
* otherwise specified in a constructor.
*/
static final float DEFAULT_LOAD_FACTOR = 0.75f;
/**
* The default concurrency level for this table, used when not
* otherwise specified in a constructor.
*/
static final int DEFAULT_CONCURRENCY_LEVEL = 16;
/**
* The maximum capacity, used if a higher value is implicitly
* specified by either of the constructors with arguments. MUST
* be a power of two <= 1<<30 to ensure that entries are indexable
* using ints.
*/
static final int MAXIMUM_CAPACITY = 1 << 30;
/**
* The maximum number of segments to allow; used to bound
* constructor arguments.
*/
static final int MAX_SEGMENTS = 1 << 16;
/**
* Number of unsynchronized retries in size and containsValue
* methods before resorting to locking. This is used to avoid
* unbounded retries if tables undergo continuous modification
* which would make it impossible to obtain an accurate result.
*/
static final int RETRIES_BEFORE_LOCK = 2;
private static final long serialVersionUID = 7249069246763182397L;
/* ---------------- Fields -------------- */
/**
* Mask value for indexing into segments. The upper bits of a
* key's hash code are used to choose the segment.
*/
final int segmentMask;
/**
* Shift value for indexing within segments.
*/
final int segmentShift;
/**
* The segments, each of which is a specialized hash table
*/
final Segment<K, V>[] segments;
boolean identityComparisons;
transient Set<K> keySet;
transient Set<Map.Entry<K, V>> entrySet;
transient Collection<V> values;
/* ---------------- Small Utilities -------------- */
/**
* Applies a supplemental hash function to a given hashCode, which
* defends against poor quality hash functions. This is critical
* because ConcurrentReferenceHashMap uses power-of-two length hash tables,
* that otherwise encounter collisions for hashCodes that do not
* differ in lower or upper bits.
*/
private static int hash(int h) {
// Spread bits to regularize both segment and index locations,
// using variant of single-word Wang/Jenkins hash.
h += (h << 15) ^ 0xffffcd7d;
h ^= (h >>> 10);
h += (h << 3);
h ^= (h >>> 6);
h += (h << 2) + (h << 14);
return h ^ (h >>> 16);
}
/**
* Returns the segment that should be used for key with given hash
*
* @param hash the hash code for the key
* @return the segment
*/
final Segment<K, V> segmentFor(int hash) {
return segments[(hash >>> segmentShift) & segmentMask];
}
protected int hashOf(Object key) {
return hash(identityComparisons ? System.identityHashCode(key) : key.hashCode());
}
/* ---------------- Inner Classes -------------- */
interface KeyReference {
int keyHash();
Object keyRef();
}
/**
* A weak-key reference which stores the key hash needed for reclamation.
*/
static final class WeakKeyReference<K> extends WeakReference<K> implements KeyReference {
final int hash;
WeakKeyReference(K key, int hash, ReferenceQueue<Object> refQueue) {
super(key, refQueue);
this.hash = hash;
}
public final int keyHash() {
return hash;
}
public final Object keyRef() {
return this;
}
}
/**
* A soft-key reference which stores the key hash needed for reclamation.
*/
static final class SoftKeyReference<K> extends SoftReference<K> implements KeyReference {
final int hash;
SoftKeyReference(K key, int hash, ReferenceQueue<Object> refQueue) {
super(key, refQueue);
this.hash = hash;
}
public final int keyHash() {
return hash;
}
public final Object keyRef() {
return this;
}
}
static final class WeakValueReference<V> extends WeakReference<V> implements KeyReference {
final Object keyRef;
final int hash;
WeakValueReference(V value, Object keyRef, int hash, ReferenceQueue<Object> refQueue) {
super(value, refQueue);
this.keyRef = keyRef;
this.hash = hash;
}
public final int keyHash() {
return hash;
}
public final Object keyRef() {
return keyRef;
}
}
static final class SoftValueReference<V> extends SoftReference<V> implements KeyReference {
final Object keyRef;
final int hash;
SoftValueReference(V value, Object keyRef, int hash, ReferenceQueue<Object> refQueue) {
super(value, refQueue);
this.keyRef = keyRef;
this.hash = hash;
}
public final int keyHash() {
return hash;
}
public final Object keyRef() {
return keyRef;
}
}
/**
* ConcurrentReferenceHashMap list entry. Note that this is never exported
* out as a user-visible Map.Entry.
* <p>
* Because the value field is volatile, not final, it is legal wrt
* the Java Memory Model for an unsynchronized reader to see null
* instead of initial value when read via a data race. Although a
* reordering leading to this is not likely to ever actually
* occur, the Segment.readValueUnderLock method is used as a
* backup in case a null (pre-initialized) value is ever seen in
* an unsynchronized access method.
*/
static final class HashEntry<K, V> {
final Object keyRef;
final int hash;
volatile Object valueRef;
final HashEntry<K, V> next;
HashEntry(K key, int hash, HashEntry<K, V> next, V value,
ReferenceType keyType, ReferenceType valueType,
ReferenceQueue<Object> refQueue) {
this.hash = hash;
this.next = next;
this.keyRef = newKeyReference(key, keyType, refQueue);
this.valueRef = newValueReference(value, valueType, refQueue);
}
final Object newKeyReference(K key, ReferenceType keyType,
ReferenceQueue<Object> refQueue) {
if (keyType == ReferenceType.WEAK) {
return new WeakKeyReference<K>(key, hash, refQueue);
}
if (keyType == ReferenceType.SOFT) {
return new SoftKeyReference<K>(key, hash, refQueue);
}
return key;
}
final Object newValueReference(V value, ReferenceType valueType,
ReferenceQueue<Object> refQueue) {
if (valueType == ReferenceType.WEAK) {
return new WeakValueReference<V>(value, keyRef, hash, refQueue);
}
if (valueType == ReferenceType.SOFT) {
return new SoftValueReference<V>(value, keyRef, hash, refQueue);
}
return value;
}
@SuppressWarnings("unchecked")
final K key() {
if (keyRef instanceof KeyReference) {
return ((Reference<K>) keyRef).get();
}
return (K) keyRef;
}
final V value() {
return dereferenceValue(valueRef);
}
@SuppressWarnings("unchecked")
final V dereferenceValue(Object value) {
if (value instanceof KeyReference) {
return ((Reference<V>) value).get();
}
return (V) value;
}
final void setValue(V value, ReferenceType valueType, ReferenceQueue<Object> refQueue) {
this.valueRef = newValueReference(value, valueType, refQueue);
}
@SuppressWarnings("unchecked")
static final <K, V> HashEntry<K, V>[] newArray(int i) {
return new HashEntry[i];
}
}
/**
* Segments are specialized versions of hash tables. This
* subclasses from ReentrantLock opportunistically, just to
* simplify some locking and avoid separate construction.
*/
@SerializableByConvention
static final class Segment<K, V> extends ReentrantLock implements Serializable {
/*
* Segments maintain a table of entry lists that are ALWAYS
* kept in a consistent state, so they can be read without locking.
* Next fields of nodes are immutable (final). All list
* additions are performed at the front of each bin. This
* makes it easy to check changes, and also fast to traverse.
* When nodes would otherwise be changed, new nodes are
* created to replace them. This works well for hash tables
* since the bin lists tend to be short. (The average length
* is less than two for the default load factor threshold.)
*
* Read operations can thus proceed without locking, but rely
* on selected uses of volatiles to ensure that completed
* write operations performed by other threads are
* noticed. For most purposes, the "count" field, tracking the
* number of elements, serves as that volatile variable
* ensuring visibility. This is convenient because this field
* needs to be read in many read operations anyway:
*
* - All (unsynchronized) read operations must first read the
* "count" field, and should not look at table entries if
* it is 0.
*
* - All (synchronized) write operations should write to
* the "count" field after structurally changing any bin.
* The operations must not take any action that could even
* momentarily cause a concurrent read operation to see
* inconsistent data. This is made easier by the nature of
* the read operations in Map. For example, no operation
* can reveal that the table has grown but the threshold
* has not yet been updated, so there are no atomicity
* requirements for this with respect to reads.
*
* As a guide, all critical volatile reads and writes to the
* count field are marked in code comments.
*/
private static final long serialVersionUID = 2249069246763182397L;
/**
* The number of elements in this segment's region.
*/
@SuppressFBWarnings(value = "SE_TRANSIENT_FIELD_NOT_RESTORED", justification =
"I trust Doug Lea's technical decision")
transient volatile int count;
/**
* Number of updates that alter the size of the table. This is
* used during bulk-read methods to make sure they see a
* consistent snapshot: If modCounts change during a traversal
* of segments computing size or checking containsValue, then
* we might have an inconsistent view of state so (usually) we
* must retry.
*/
@SuppressFBWarnings(value = "SE_TRANSIENT_FIELD_NOT_RESTORED", justification =
"I trust Doug Lea's technical decision")
transient int modCount;
/**
* The table is rehashed when its size exceeds this threshold.
* (The value of this field is always <tt>(int)(capacity *
* loadFactor)</tt>.)
*/
transient int threshold;
/**
* The per-segment table.
*/
transient volatile HashEntry<K, V>[] table;
/**
* The load factor for the hash table. Even though this value
* is same for all segments, it is replicated to avoid needing
* links to outer object.
*
* @serial
*/
final float loadFactor;
/**
* The collected weak-key reference queue for this segment.
* This should be (re)initialized whenever table is assigned,
*/
transient volatile ReferenceQueue<Object> refQueue;
final ReferenceType keyType;
final ReferenceType valueType;
final boolean identityComparisons;
Segment(int initialCapacity, float lf, ReferenceType keyType,
ReferenceType valueType, boolean identityComparisons) {
loadFactor = lf;
this.keyType = keyType;
this.valueType = valueType;
this.identityComparisons = identityComparisons;
setTable(HashEntry.<K, V>newArray(initialCapacity));
}
@SuppressWarnings("unchecked")
static final <K, V> Segment<K, V>[] newArray(int i) {
return new Segment[i];
}
private boolean keyEq(Object src, Object dest) {
return identityComparisons ? src == dest : src.equals(dest);
}
/**
* Sets table to new HashEntry array.
* Call only while holding lock or in constructor.
*/
void setTable(HashEntry<K, V>[] newTable) {
threshold = (int) (newTable.length * loadFactor);
table = newTable;
refQueue = new ReferenceQueue<Object>();
}
/**
* Returns properly casted first entry of bin for given hash.
*/
HashEntry<K, V> getFirst(int hash) {
HashEntry<K, V>[] tab = table;
return tab[hash & (tab.length - 1)];
}
HashEntry<K, V> newHashEntry(K key, int hash, HashEntry<K, V> next, V value) {
return new HashEntry<K, V>(key, hash, next, value, keyType, valueType, refQueue);
}
/**
* Reads value field of an entry under lock. Called if value
* field ever appears to be null. This is possible only if a
* compiler happens to reorder a HashEntry initialization with
* its table assignment, which is legal under memory model
* but is not known to ever occur.
*/
V readValueUnderLock(HashEntry<K, V> e) {
lock();
try {
removeStale();
return e.value();
} finally {
unlock();
}
}
/* Specialized implementations of map methods */
V get(Object key, int hash) {
// read-volatile
if (count != 0) {
HashEntry<K, V> e = getFirst(hash);
while (e != null) {
if (e.hash == hash && keyEq(key, e.key())) {
Object opaque = e.valueRef;
if (opaque != null) {
return e.dereferenceValue(opaque);
}
// recheck
return readValueUnderLock(e);
}
e = e.next;
}
}
return null;
}
boolean containsKey(Object key, int hash) {
// read-volatile
if (count != 0) {
HashEntry<K, V> e = getFirst(hash);
while (e != null) {
if (e.hash == hash && keyEq(key, e.key())) {
return true;
}
e = e.next;
}
}
return false;
}
boolean containsValue(Object value) {
// read-volatile
if (count != 0) {
HashEntry<K, V>[] tab = table;
int len = tab.length;
for (int i = 0; i < len; i++) {
for (HashEntry<K, V> e = tab[i]; e != null; e = e.next) {
Object opaque = e.valueRef;
V v;
if (opaque == null) {
// recheck
v = readValueUnderLock(e);
} else {
v = e.dereferenceValue(opaque);
}
if (value.equals(v)) {
return true;
}
}
}
}
return false;
}
boolean replace(K key, int hash, V oldValue, V newValue) {
lock();
try {
return replaceInternal2(key, hash, oldValue, newValue);
} finally {
unlock();
}
}
private boolean replaceInternal2(K key, int hash, V oldValue, V newValue) {
removeStale();
HashEntry<K, V> e = getFirst(hash);
while (e != null && (e.hash != hash || !keyEq(key, e.key()))) {
e = e.next;
}
boolean replaced = false;
if (e != null && oldValue.equals(e.value())) {
replaced = true;
e.setValue(newValue, valueType, refQueue);
}
return replaced;
}
V replace(K key, int hash, V newValue) {
lock();
try {
return replaceInternal(key, hash, newValue);
} finally {
unlock();
}
}
private V replaceInternal(K key, int hash, V newValue) {
removeStale();
HashEntry<K, V> e = getFirst(hash);
while (e != null && (e.hash != hash || !keyEq(key, e.key()))) {
e = e.next;
}
V oldValue = null;
if (e != null) {
oldValue = e.value();
e.setValue(newValue, valueType, refQueue);
}
return oldValue;
}
V applyIfPresent(K key, int hash, BiFunction<? super K, ? super V, ? extends V> remappingFunction) {
lock();
try {
V oldValue = get(key, hash);
if (oldValue == null) {
return null;
}
V newValue = remappingFunction.apply(key, oldValue);
if (newValue == null) {
removeInternal(key, hash, oldValue, false);
return null;
} else {
putInternal(key, hash, newValue, null, false);
return newValue;
}
} finally {
unlock();
}
}
V apply(K key, int hash, BiFunction<? super K, ? super V, ? extends V> remappingFunction) {
lock();
try {
V oldValue = get(key, hash);
V newValue = remappingFunction.apply(key, oldValue);
if (newValue == null) {
// delete mapping
if (oldValue != null) {
// something to remove
removeInternal(key, hash, oldValue, false);
return null;
} else {
// nothing to do. Leave things as they were.
return null;
}
} else {
// add or replace old mapping
putInternal(key, hash, newValue, null, false);
return newValue;
}
} finally {
unlock();
}
}
V merge(K key, V value, int hash, BiFunction<? super V, ? super V, ? extends V> remappingFunction) {
lock();
try {
V oldValue = get(key, hash);
V newValue = (oldValue == null) ? value : remappingFunction.apply(oldValue, value);
if (newValue == null) {
removeInternal(key, hash, oldValue, false);
return null;
} else {
putInternal(key, hash, newValue, null, false);
return newValue;
}
} finally {
unlock();
}
}
/**
* This method must be called with exactly one of <code>value</code> and
* <code>function</code> non-null.
**/
V put(K key, int hash, V value, Function<? super K, ? extends V> function, boolean onlyIfAbsent) {
lock();
try {
return putInternal(key, hash, value, function, onlyIfAbsent);
} finally {
unlock();
}
}
private V putInternal(K key, int hash, V value, Function<? super K, ? extends V> function, boolean onlyIfAbsent) {
removeStale();
int c = count;
// ensure capacity
if (c++ > threshold) {
int reduced = rehash();
// adjust from possible weak cleanups
if (reduced > 0) {
// write-volatile
count = (c -= reduced) - 1;
}
}
HashEntry<K, V>[] tab = table;
int index = hash & (tab.length - 1);
HashEntry<K, V> first = tab[index];
HashEntry<K, V> e = first;
while (e != null && (e.hash != hash || !keyEq(key, e.key()))) {
e = e.next;
}
V resultValue;
if (e != null) {
resultValue = e.value();
if (!onlyIfAbsent) {
e.setValue(getValue(key, value, function), valueType, refQueue);
}
} else {
V v = getValue(key, value, function);
resultValue = function != null ? v : null;
if (v != null) {
++modCount;
tab[index] = newHashEntry(key, hash, first, v);
// write-volatile
count = c;
}
}
return resultValue;
}
V getValue(K key, V value, Function<? super K, ? extends V> function) {
return value != null ? value : function.apply(key);
}
int rehash() {
HashEntry<K, V>[] oldTable = table;
int oldCapacity = oldTable.length;
if (oldCapacity >= MAXIMUM_CAPACITY) {
return 0;
}
/*
* Reclassify nodes in each list to new Map. Because we are
* using power-of-two expansion, the elements from each bin
* must either stay at the same index, or move with a power of two
* offset. We eliminate unnecessary node creation by catching
* cases where old nodes can be reused because their next
* fields won't change. Statistically, at the default
* threshold, only about one-sixth of them need cloning when
* a table doubles. The nodes they replace will be garbage
* collectable as soon as they are no longer referenced by any
* reader thread that may be in the midst of traversing table
* right now.
*/
HashEntry<K, V>[] newTable = HashEntry.newArray(oldCapacity << 1);
threshold = (int) (newTable.length * loadFactor);
int sizeMask = newTable.length - 1;
int reduce = 0;
for (int i = 0; i < oldCapacity; i++) {
// We need to guarantee that any existing reads of old Map can
// proceed. So we cannot yet null out each bin.
HashEntry<K, V> e = oldTable[i];
if (e != null) {
HashEntry<K, V> next = e.next;
int idx = e.hash & sizeMask;
// Single node on list
if (next == null) {
newTable[idx] = e;
} else {
// Reuse trailing consecutive sequence at same slot
HashEntry<K, V> lastRun = e;
int lastIdx = idx;
for (HashEntry<K, V> last = next;
last != null;
last = last.next) {
int k = last.hash & sizeMask;
if (k != lastIdx) {
lastIdx = k;
lastRun = last;
}
}
newTable[lastIdx] = lastRun;
// Clone all remaining nodes
for (HashEntry<K, V> p = e; p != lastRun; p = p.next) {
// Skip GC'd weak refs
K key = p.key();
if (key == null) {
reduce++;
continue;
}
int k = p.hash & sizeMask;
HashEntry<K, V> n = newTable[k];
newTable[k] = newHashEntry(key, p.hash, n, p.value());
}
}
}
}
table = newTable;
return reduce;
}
/**
* Remove: match on key only if value is null, else match both.
*/
V remove(Object key, int hash, Object value, boolean refRemove) {
lock();
try {
return removeInternal(key, hash, value, refRemove);
} finally {
unlock();
}
}
private V removeInternal(Object key, int hash, Object value, boolean refRemove) {
if (!refRemove) {
removeStale();
}
int c = count - 1;
HashEntry<K, V>[] tab = table;
int index = hash & (tab.length - 1);
HashEntry<K, V> first = tab[index];
HashEntry<K, V> e = first;
// a ref remove operation compares the Reference instance
while (e != null && key != e.keyRef && (refRemove || hash != e.hash || !keyEq(key, e.key()))) {
e = e.next;
}
V oldValue = null;
if (e != null) {
V v = e.value();
if (value == null || value.equals(v)) {
oldValue = v;
// All entries following removed node can stay
// in list, but all preceding ones need to be
// cloned.
++modCount;
HashEntry<K, V> newFirst = e.next;
for (HashEntry<K, V> p = first; p != e; p = p.next) {
K pKey = p.key();
// Skip GC'd keys
if (pKey == null) {
c--;
continue;
}
newFirst = newHashEntry(pKey, p.hash, newFirst, p.value());
}
tab[index] = newFirst;
// write-volatile
count = c;
}
}
return oldValue;
}
final void removeStale() {
KeyReference ref;
while ((ref = (KeyReference) refQueue.poll()) != null) {
remove(ref.keyRef(), ref.keyHash(), null, true);
}
}
void clear() {
if (count != 0) {
lock();
try {
HashEntry<K, V>[] tab = table;
for (int i = 0; i < tab.length; i++) {
tab[i] = null;
}
++modCount;
// replace the reference queue to avoid unnecessary stale cleanups
refQueue = new ReferenceQueue<Object>();
// write-volatile
count = 0;
} finally {
unlock();
}
}
}
}
/* ---------------- Public operations -------------- */