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This is the master POM file for Oracle's Implementation of the JSF 2.2 Specification.
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*
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* and Distribution License("CDDL") (collectively, the "License"). You
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package com.sun.faces.util;
import java.util.Collection;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.locks.ReentrantLock;
/**
* This code is based off the source for ConcurrentHashMap from JDK 5 with the
* ability of mapping multiple keys to a single value.
*
*
* -
* This Map implemenation does not support iteration through keys
* and/or values.
*
-
*
-
* This Map implementation is NOT Serialziable.
*
-
*
-
* This cannot be cast as a general Map implementation.
*
*
*/
public class MultiKeyConcurrentHashMap {
/*
* The basic strategy is to subdivide the table among Segments,
* each of which itself is a concurrently readable hash table.
*/
/* ---------------- Constants -------------- */
/**
* The default initial number of table slots for this table. Used when not
* otherwise specified in constructor.
*/
static int DEFAULT_INITIAL_CAPACITY = 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 indexible using ints.
*/
static final int MAXIMUM_CAPACITY = 1 << 30;
/**
* The default load factor for this table. Used when not otherwise
* specified in constructor.
*/
static final float DEFAULT_LOAD_FACTOR = 0.75f;
/**
* The default number of concurrency control segments.
*/
static final int DEFAULT_SEGMENTS = 16;
/**
* The maximum number of segments to allow; used to bound constructor
* arguments.
*/
static final int MAX_SEGMENTS = 1 << 16; // slightly conservative
/**
* 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;
/* ---------------- 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[] segments;
/* ---------------- Small Utilities -------------- */
/**
* Returns a hash code for non-null Objects. Uses the same hash code
* spreader as most other java.util hash tables.
*
* @return the hash code
*/
static int hash(Object x1, Object x2, Object x3, Object x4) {
int h = 0;
// xor one or Object hashcodes
h ^= x1.hashCode();
if (x2 != null) {
h ^= x2.hashCode();
}
if (x3 != null) {
h ^= x3.hashCode();
}
if (x4 != null) {
h ^= x4.hashCode();
}
// the following is the standard hashing algorithm included
// in the original source
h += ~(h << 9);
h ^= (h >>> 14);
h += (h << 4);
h ^= (h >>> 10);
return h;
}
/**
* 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 segmentFor(int hash) {
//noinspection unchecked
return (Segment) segments[(hash >>> segmentShift) & segmentMask];
}
/* ---------------- Inner Classes -------------- */
/**
* ConcurrentHashMap list entry. Note that this is never exported out as a
* user-visible Map.Entry.
*
* 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 {
final K key1;
final K key2;
final K key3;
final K key4;
final int hash;
volatile V value;
final HashEntry next;
HashEntry(K key1,
K key2,
K key3,
K key4,
int hash,
HashEntry next,
V value) {
this.key1 = key1;
this.key2 = key2;
this.key3 = key3;
this.key4 = key4;
this.hash = hash;
this.next = next;
this.value = value;
}
}
/**
* Segments are specialized versions of hash tables. This subclasses from
* ReentrantLock opportunistically, just to simplify some locking and avoid
* separate construction.
*/
@SuppressWarnings({"serial"})
static final class Segment extends ReentrantLock {
/*
* Segments maintain a table of entry lists that are ALWAYS
* kept in a consistent state, so 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.
*/
/**
* The number of elements in this segment's region.
*/
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) must retry.
*/
int modCount;
/**
* The table is rehashed when its size exceeds this threshold. (The
* value of this field is always (int)(capacity * loadFactor).)
*/
int threshold;
/**
* The per-segment table. Declared as a raw type, casted to
* HashEntry on each use.
*/
@SuppressWarnings({"NonSerializableFieldInSerializableClass"})
volatile HashEntry[] 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;
Segment(int initialCapacity, float lf) {
loadFactor = lf;
setTable(new HashEntry[initialCapacity]);
}
/**
* Set table to new HashEntry array. Call only while holding lock or in
* constructor.
*/
void setTable(HashEntry[] newTable) {
threshold = (int) (newTable.length * loadFactor);
table = newTable;
}
/**
* Return properly casted first entry of bin for given hash
*/
HashEntry getFirst(int hash) {
HashEntry[] tab = table;
//noinspection unchecked
return (HashEntry) tab[hash & (tab.length - 1)];
}
/**
* Read 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 e) {
lock();
try {
return e.value;
} finally {
unlock();
}
}
/* Specialized implementations of map methods */
V get(Object key1, Object key2, Object key3, Object key4, int hash) {
if (count != 0) { // read-volatile
HashEntry e = getFirst(hash);
while (e != null) {
if ((e.hash == hash && key1.equals(e.key1))
&& ((key2 == null && e.key2 == null) || (key2 != null && key2.equals(e.key2)))
&& ((key3 == null && e.key3 == null) || (key3 != null && key3.equals(e.key3)))
&& ((key4 == null && e.key4 == null) || (key4 != null && key4.equals(e.key2)))) {
V v = e.value;
if (v != null) {
return v;
}
return readValueUnderLock(e); // recheck
}
e = e.next;
}
}
return null;
}
boolean containsKey(Object key1,
Object key2,
Object key3,
Object key4,
int hash) {
if (count != 0) { // read-volatile
HashEntry e = getFirst(hash);
while (e != null) {
if ((e.hash == hash && key1.equals(e.key1))
&& ((key2 == null && e.key2 == null) || (key2 != null && key2.equals(e.key2)))
&& ((key3 == null && e.key3 == null) || (key3 != null && key3.equals(e.key3)))
&& ((key4 == null && e.key4 == null) || (key4 != null && key4.equals(e.key2)))) {
return true;
}
e = e.next;
}
}
return false;
}
boolean containsValue(Object value) {
if (count != 0) { // read-volatile
HashEntry[] tab = table;
int len = tab.length;
for (int i = 0; i < len; i++) {
for (//noinspection unchecked
HashEntry e = (HashEntry) tab[i];
e != null;
e = e.next) {
V v = e.value;
if (v == null) // recheck
{
v = readValueUnderLock(e);
}
if (value.equals(v)) {
return true;
}
}
}
}
return false;
}
boolean replace(K key1,
K key2,
K key3,
K key4,
int hash,
V oldValue,
V newValue) {
lock();
try {
HashEntry e = getFirst(hash);
while (e != null && (e.hash != hash
|| key1 != null && !key1.equals(e.key1)
|| key2 != null && !key2.equals(e.key2)
|| key3 != null && !key3.equals(e.key3)
|| key4 != null && !key4.equals(e.key4))) {
e = e.next;
}
boolean replaced = false;
if (e != null && oldValue.equals(e.value)) {
replaced = true;
e.value = newValue;
}
return replaced;
} finally {
unlock();
}
}
V replace(K key1, K key2, K key3, K key4, int hash, V newValue) {
lock();
try {
HashEntry e = getFirst(hash);
while (e != null && (e.hash != hash
|| key1 != null && !key1.equals(e.key1)
|| key2 != null && !key2.equals(e.key2)
|| key3 != null && !key3.equals(e.key3)
|| key4 != null && !key4.equals(e.key4))) {
e = e.next;
}
V oldValue = null;
if (e != null) {
oldValue = e.value;
e.value = newValue;
}
return oldValue;
} finally {
unlock();
}
}
V put(K key1,
K key2,
K key3,
K key4,
int hash,
V value,
boolean onlyIfAbsent) {
lock();
try {
int c = count;
if (c++ > threshold) // ensure capacity
{
rehash();
}
HashEntry[] tab = table;
int index = hash & (tab.length - 1);
//noinspection unchecked
HashEntry first = (HashEntry) tab[index];
HashEntry e = first;
while (e != null && (e.hash != hash
|| key1 != null && !key1.equals(e.key1)
|| key2 != null && !key2.equals(e.key2)
|| key3 != null && !key3.equals(e.key3)
|| key4 != null && !key4.equals(e.key4))) {
e = e.next;
}
V oldValue;
if (e != null) {
oldValue = e.value;
if (!onlyIfAbsent) {
e.value = value;
}
} else {
oldValue = null;
++modCount;
tab[index] =
new HashEntry(key1, key2, key3, key4, hash, first, value);
count = c; // write-volatile
}
return oldValue;
} finally {
unlock();
}
}
void rehash() {
HashEntry[] oldTable = table;
int oldCapacity = oldTable.length;
if (oldCapacity >= MAXIMUM_CAPACITY) {
return;
}
/*
* 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 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[] newTable = new HashEntry[oldCapacity << 1];
threshold = (int) (newTable.length * loadFactor);
int sizeMask = newTable.length - 1;
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.
//noinspection unchecked
HashEntry e = (HashEntry) oldTable[i];
if (e != null) {
HashEntry 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 lastRun = e;
int lastIdx = idx;
for (HashEntry 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 p = e; p != lastRun; p = p.next) {
int k = p.hash & sizeMask;
//noinspection unchecked
HashEntry n = (HashEntry) newTable[k];
newTable[k] = new HashEntry(p.key1,
p.key2,
p.key3,
p.key4,
p.hash,
n,
p.value);
}
}
}
}
table = newTable;
}
/**
* Remove; match on key only if value null, else match both.
*/
V remove(Object key1,
Object key2,
Object key3,
Object key4,
int hash,
Object value) {
lock();
try {
int c = count - 1;
HashEntry[] tab = table;
int index = hash & (tab.length - 1);
//noinspection unchecked
HashEntry first = (HashEntry) tab[index];
HashEntry e = first;
while (e != null && (e.hash != hash
|| key1 != null && !key1.equals(e.key1)
|| key2 != null && !key2.equals(e.key2)
|| key3 != null && !key3.equals(e.key3)
|| key4 != null && !key4.equals(e.key4))) {
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 newFirst = e.next;
for (HashEntry p = first; p != e; p = p.next) {
newFirst = new HashEntry(p.key1,
p.key2,
p.key3,
p.key4,
p.hash,
newFirst,
p.value);
}
tab[index] = newFirst;
count = c; // write-volatile
}
}
return oldValue;
} finally {
unlock();
}
}
void clear() {
if (count != 0) {
lock();
try {
HashEntry[] tab = table;
for (int i = 0; i < tab.length; i++) {
tab[i] = null;
}
++modCount;
count = 0; // write-volatile
} finally {
unlock();
}
}
}
}
/* ---------------- Public operations -------------- */
/**
* Creates a new, empty map with the specified initial capacity, load
* factor, and concurrency level.
*
* @param initialCapacity the initial capacity. The implementation performs
* internal sizing to accommodate this many
* elements.
* @param loadFactor the load factor threshold, used to control
* resizing. Resizing may be performed when the
* average number of elements per bin exceeds this
* threshold.
* @param concurrencyLevel the estimated number of concurrently updating
* threads. The implementation performs internal
* sizing to try to accommodate this many threads.
*
* @throws IllegalArgumentException if the initial capacity is negative or
* the load factor or concurrencyLevel are
* nonpositive.
*/
public MultiKeyConcurrentHashMap(int initialCapacity,
float loadFactor,
int concurrencyLevel) {
if (!(loadFactor > 0) || initialCapacity < 0 || concurrencyLevel <= 0) {
throw new IllegalArgumentException();
}
if (concurrencyLevel > MAX_SEGMENTS) {
concurrencyLevel = MAX_SEGMENTS;
}
// Find power-of-two sizes best matching arguments
int sshift = 0;
int ssize = 1;
while (ssize < concurrencyLevel) {
++sshift;
ssize <<= 1;
}
segmentShift = 32 - sshift;
segmentMask = ssize - 1;
this.segments = new Segment[ssize];
if (initialCapacity > MAXIMUM_CAPACITY) {
initialCapacity = MAXIMUM_CAPACITY;
}
int c = initialCapacity / ssize;
if (c * ssize < initialCapacity) {
++c;
}
int cap = 1;
while (cap < c) {
cap <<= 1;
}
for (int i = 0; i < this.segments.length; ++i) {
this.segments[i] = new Segment(cap, loadFactor);
}
}
/**
* Creates a new, empty map with the specified initial capacity, and with
* default load factor and concurrencyLevel.
*
* @param initialCapacity the initial capacity. The implementation performs
* internal sizing to accommodate this many
* elements.
*
* @throws IllegalArgumentException if the initial capacity of elements is
* negative.
*/
public MultiKeyConcurrentHashMap(int initialCapacity) {
this(initialCapacity, DEFAULT_LOAD_FACTOR, DEFAULT_SEGMENTS);
}
/**
* Creates a new, empty map with a default initial capacity, load factor,
* and concurrencyLevel.
*/
public MultiKeyConcurrentHashMap() {
this(DEFAULT_INITIAL_CAPACITY, DEFAULT_LOAD_FACTOR, DEFAULT_SEGMENTS);
}
/**
* @see java.util.Map#isEmpty()
*/
public boolean isEmpty() {
final Segment[] segments = this.segments;
/*
* We keep track of per-segment modCounts to avoid ABA
* problems in which an element in one segment was added and
* in another removed during traversal, in which case the
* table was never actually empty at any point. Note the
* similar use of modCounts in the size() and containsValue()
* methods, which are the only other methods also susceptible
* to ABA problems.
*/
int[] mc = new int[segments.length];
int mcsum = 0;
for (int i = 0; i < segments.length; ++i) {
if (segments[i].count != 0) {
return false;
} else {
mcsum += mc[i] = segments[i].modCount;
}
}
// If mcsum happens to be zero, then we know we got a snapshot
// before any modifications at all were made. This is
// probably common enough to bother tracking.
if (mcsum != 0) {
for (int i = 0; i < segments.length; ++i) {
if (segments[i].count != 0 ||
mc[i] != segments[i].modCount) {
return false;
}
}
}
return true;
}
/**
* @see java.util.Map#size()
*/
public int size() {
final Segment[] segments = this.segments;
long sum = 0;
long check = 0;
int[] mc = new int[segments.length];
// Try a few times to get accurate count. On failure due to
// continuous async changes in table, resort to locking.
for (int k = 0; k < RETRIES_BEFORE_LOCK; ++k) {
check = 0;
sum = 0;
int mcsum = 0;
for (int i = 0; i < segments.length; ++i) {
sum += segments[i].count;
mcsum += mc[i] = segments[i].modCount;
}
if (mcsum != 0) {
for (int i = 0; i < segments.length; ++i) {
check += segments[i].count;
if (mc[i] != segments[i].modCount) {
check = -1; // force retry
break;
}
}
}
if (check == sum) {
break;
}
}
if (check != sum) { // Resort to locking all segments
sum = 0;
for (int i = 0; i < segments.length; ++i) {
segments[i].lock();
}
for (int i = 0; i < segments.length; ++i) {
sum += segments[i].count;
}
for (int i = 0; i < segments.length; ++i) {
segments[i].unlock();
}
}
if (sum > Integer.MAX_VALUE) {
return Integer.MAX_VALUE;
} else {
return (int) sum;
}
}
/**
* Returns the value to which the specified key is mapped in this table.
*
* @param key a key in the table.
*
* @return the value to which the key is mapped in this table; null
* if the key is not mapped to any value in this table.
*
* @throws NullPointerException if the key is null.
*/
public V get(Object key) {
int hash = hash(key, null, null, null);
return segmentFor(hash).get(key, null, null, null, hash);
}
/**
* @see #get(Object)
*/
public V get(Object key1, Object key2) {
int hash = hash(key1, key2, null, null);
return segmentFor(hash).get(key1, key2, null, null, hash);
}
/**
* @see #get(Object)
*/
public V get(Object key1, Object key2, Object key3) {
int hash = hash(key1, key2, key3, null);
return segmentFor(hash).get(key1, key2, key3, null, hash);
}
/**
* @see #get(Object)
*/
public V get(Object key1, Object key2, Object key3, Object key4) {
int hash = hash(key1, key2, key3, key4);
return segmentFor(hash).get(key1, key2, key3, key4, hash);
}
/**
* Tests if the specified object is a key in this table.
*
* @param key possible key.
*
* @return true if and only if the specified object is a key in
* this table, as determined by the equals method;
* false otherwise.
*
* @throws NullPointerException if the key is null.
*/
public boolean containsKey(Object key) {
int hash = hash(key, null, null, null);
return segmentFor(hash).containsKey(key, null, null, null, hash);
}
/**
* @see #containsKey(Object)
*/
public boolean containsKey(Object key1, Object key2) {
int hash = hash(key1, key2, null, null);
return segmentFor(hash).containsKey(key1, key2, null, null, hash);
}
/**
* @see #containsKey(Object)
*/
public boolean containsKey(Object key1, Object key2, Object key3) {
int hash = hash(key1, key2, key3, null);
return segmentFor(hash).containsKey(key1, key2, key3, null, hash);
}
/**
* @see #containsKey(Object)
*/
public boolean containsKey(Object key1,
Object key2,
Object key3,
Object key4) {
int hash = hash(key1, key2, key3, key4);
return segmentFor(hash).containsKey(key1, key2, key3, key4, hash);
}
/**
* Returns true if this map maps one or more keys to the specified
* value. Note: This method requires a full internal traversal of the hash
* table, and so is much slower than method containsKey.
*
* @param value value whose presence in this map is to be tested.
*
* @return true if this map maps one or more keys to the specified
* value.
*
* @throws NullPointerException if the value is null.
*/
public boolean containsValue(Object value) {
if (value == null) {
throw new NullPointerException();
}
// See explanation of modCount use above
final Segment[] segments = this.segments;
int[] mc = new int[segments.length];
// Try a few times without locking
for (int k = 0; k < RETRIES_BEFORE_LOCK; ++k) {
int mcsum = 0;
for (int i = 0; i < segments.length; ++i) {
mcsum += mc[i] = segments[i].modCount;
if (segments[i].containsValue(value)) {
return true;
}
}
boolean cleanSweep = true;
if (mcsum != 0) {
for (int i = 0; i < segments.length; ++i) {
if (mc[i] != segments[i].modCount) {
cleanSweep = false;
break;
}
}
}
if (cleanSweep) {
return false;
}
}
// Resort to locking all segments
for (int i = 0; i < segments.length; ++i) {
segments[i].lock();
}
boolean found = false;
try {
for (int i = 0; i < segments.length; ++i) {
if (segments[i].containsValue(value)) {
found = true;
break;
}
}
} finally {
for (int i = 0; i < segments.length; ++i) {
segments[i].unlock();
}
}
return found;
}
/**
* Legacy method testing if some key maps into the specified value in this
* table. This method is identical in functionality to {@link
* #containsValue}, and exists solely to ensure full compatibility with
* class {@link java.util.Hashtable}, which supported this method prior to
* introduction of the Java Collections framework.
*
* @param value a value to search for.
*
* @return true if and only if some key maps to the value
* argument in this table as determined by the equals
* method; false otherwise.
*
* @throws NullPointerException if the value is null.
*/
public boolean contains(Object value) {
return containsValue(value);
}
/**
* Maps the specified key to the specified value in this
* table. Neither the key nor the value can be null.
*
* The value can be retrieved by calling the get method with a
* key that is equal to the original key.
*
* @param key the table key.
* @param value the value.
*
* @return the previous value of the specified key in this table, or
* null if it did not have one.
*
* @throws NullPointerException if the key or value is null.
*/
public V put(K key, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key, null, null, null);
return segmentFor(hash).put(key, null, null, null, hash, value, false);
}
/**
* @see #put(Object, Object)
*/
public V put(K key1, K key2, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key1, key2, null, null);
return segmentFor(hash).put(key1, key2, null, null, hash, value, false);
}
/**
* @see #put(Object, Object)
*/
public V put(K key1, K key2, K key3, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key1, key2, key3, null);
return segmentFor(hash).put(key1, key2, key3, null, hash, value, false);
}
/**
* @see #put(Object, Object)
*/
public V put(K key1, K key2, K key3, K key4, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key1, key2, key3, key4);
return segmentFor(hash).put(key1, key2, key3, key4, hash, value, false);
}
/**
* If the specified key is not already associated with a value, associate it
* with the given value. This is equivalent to
*
* if (!map.containsKey(key))
* return map.put(key, value);
* else
* return map.get(key);
*
* Except that the action is performed atomically.
*
* @param key key with which the specified value is to be associated.
* @param value value to be associated with the specified key.
*
* @return previous value associated with specified key, or null if
* there was no mapping for key.
*
* @throws NullPointerException if the specified key or value is
* null.
*/
public V putIfAbsent(K key, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key, null, null, null);
return segmentFor(hash).put(key, null, null, null, hash, value, true);
}
/**
* @see #putIfAbsent(Object, Object)
*/
public V putIfAbsent(K key1, K key2, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key1, key2, null, null);
return segmentFor(hash).put(key1, key2, null, null, hash, value, true);
}
/**
* @see #putIfAbsent(Object, Object)
*/
public V putIfAbsent(K key1, K key2, K key3, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key1, key2, key3, null);
return segmentFor(hash).put(key1, key2, key3, null, hash, value, true);
}
/**
* @see #putIfAbsent(Object, Object)
*/
public V putIfAbsent(K key1, K key2, K key3, K key4, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key1, key2, key3, key4);
return segmentFor(hash).put(key1, key2, key3, key4, hash, value, true);
}
/**
* @see Map#remove(Object)
*/
public V remove(K key) {
int hash = hash(key, null, null, null);
return segmentFor(hash).remove(key, null, null, null, hash, null);
}
/**
* @see Map#remove(Object)
*/
public V remove(K key1, K key2) {
int hash = hash(key1, key2, null, null);
return segmentFor(hash).remove(key1, key2, null, null, hash, null);
}
/**
* @see Map#remove(Object)
*/
public V remove(K key1, K key2, K key3) {
int hash = hash(key1, key2, key3, null);
return segmentFor(hash).remove(key1, key2, null, null, hash, null);
}
/**
* @see Map#remove(Object)
*/
public V remove(K key1, K key2, K key3, K key4) {
// we don't have multiple versions of remove here because
// erasure would cause a collision with boolean remove(Object, Object)
int hash = hash(key1, key2, key3, key4);
return segmentFor(hash).remove(key1, key2, key3, key4, hash, null);
}
/**
* Replace entry for key only if currently mapped to given value. Acts as
*
* if (map.get(key).equals(oldValue)) {
* map.put(key, newValue);
* return true;
* } else return false;
*
* except that the action is performed atomically.
*
* @param key key with which the specified value is associated.
* @param oldValue value expected to be associated with the specified key.
* @param newValue value to be associated with the specified key.
*
* @return true if the value was replaced
*
* @throws NullPointerException if the specified key or values are
* null.
*/
public boolean replace(K key, V oldValue, V newValue) {
if (oldValue == null || newValue == null) {
throw new NullPointerException();
}
int hash = hash(key, null, null, null);
return segmentFor(hash)
.replace(key, null, null, null, hash, oldValue, newValue);
}
/**
* Replace entry for key only if currently mapped to some value. Acts as
*
* if ((map.containsKey(key)) {
* return map.put(key, value);
* } else return null;
*
* except that the action is performed atomically.
*
* @param key key with which the specified value is associated.
* @param value value to be associated with the specified key.
*
* @return previous value associated with specified key, or null if
* there was no mapping for key.
*
* @throws NullPointerException if the specified key or value is
* null.
*/
public V replace(K key, V value) {
if (value == null) {
throw new NullPointerException();
}
int hash = hash(key, null, null, null);
return segmentFor(hash).replace(key, null, null, null, hash, value);
}
/**
* Removes all mappings from this map.
*/
public void clear() {
for (int i = 0; i < segments.length; ++i) {
segments[i].clear();
}
}
/**
* Unsupported
*/
public Set keySet() {
throw new UnsupportedOperationException();
}
/**
* Unsupported.
*/
public Collection values() {
throw new UnsupportedOperationException();
}
/**
* Unsupported.
*/
public Set> entrySet() {
throw new UnsupportedOperationException();
}
}