/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
*/
/**
* An unbounded {@link TransferQueue} based on linked nodes.
* This queue orders elements FIFO (first-in-first-out) with respect
* to any given producer. The <em>head</em> of the queue is that
* element that has been on the queue the longest time for some
* producer. The <em>tail</em> of the queue is that element that has
* been on the queue the shortest time for some producer.
*
* <p>Beware that, unlike in most collections, the {@code size} method
* is <em>NOT</em> a constant-time operation. Because of the
* asynchronous nature of these queues, determining the current number
* of elements requires a traversal of the elements, and so may report
* inaccurate results if this collection is modified during traversal.
* Additionally, the bulk operations {@code addAll},
* {@code removeAll}, {@code retainAll}, {@code containsAll},
* {@code equals}, and {@code toArray} are <em>not</em> guaranteed
* to be performed atomically. For example, an iterator operating
* concurrently with an {@code addAll} operation might view only some
* of the added elements.
*
* <p>This class and its iterator implement all of the
* <em>optional</em> methods of the {@link Collection} and {@link
* Iterator} interfaces.
*
* <p>Memory consistency effects: As with other concurrent
* collections, actions in a thread prior to placing an object into a
* {@code LinkedTransferQueue}
* <a href="package-summary.html#MemoryVisibility"><i>happen-before</i></a>
* actions subsequent to the access or removal of that element from
* the {@code LinkedTransferQueue} in another thread.
*
* <p>This class is a member of the
* <a href="{@docRoot}/../technotes/guides/collections/index.html">
* Java Collections Framework</a>.
*
* @since 1.7
* @author Doug Lea
* @param <E> the type of elements held in this collection
*/
/*
* *** Overview of Dual Queues with Slack ***
*
* Dual Queues, introduced by Scherer and Scott
* (linked) queues in which nodes may represent either data or
* requests. When a thread tries to enqueue a data node, but
* encounters a request node, it instead "matches" and removes it;
* and vice versa for enqueuing requests. Blocking Dual Queues
* arrange that threads enqueuing unmatched requests block until
* other threads provide the match. Dual Synchronous Queues (see
* Scherer, Lea, & Scott
* additionally arrange that threads enqueuing unmatched data also
* block. Dual Transfer Queues support all of these modes, as
* dictated by callers.
*
* A FIFO dual queue may be implemented using a variation of the
* Michael & Scott (M&S) lock-free queue algorithm
* It maintains two pointer fields, "head", pointing to a
* (matched) node that in turn points to the first actual
* (unmatched) queue node (or null if empty); and "tail" that
* points to the last node on the queue (or again null if
* empty). For example, here is a possible queue with four data
* elements:
*
* head tail
* | |
* v v
* M -> U -> U -> U -> U
*
* The M&S queue algorithm is known to be prone to scalability and
* overhead limitations when maintaining (via CAS) these head and
* tail pointers. This has led to the development of
* contention-reducing variants such as elimination arrays (see
* Moir et al http://portal.acm.org/citation.cfm?id=1074013) and
* optimistic back pointers (see Ladan-Mozes & Shavit
* However, the nature of dual queues enables a simpler tactic for
* improving M&S-style implementations when dual-ness is needed.
*
* In a dual queue, each node must atomically maintain its match
* status. While there are other possible variants, we implement
* this here as: for a data-mode node, matching entails CASing an
* "item" field from a non-null data value to null upon match, and
* vice-versa for request nodes, CASing from null to a data
* value. (Note that the linearization properties of this style of
* queue are easy to verify -- elements are made available by
* linking, and unavailable by matching.) Compared to plain M&S
* queues, this property of dual queues requires one additional
* enables lower cost variants of queue maintenance mechanics. (A
* variation of this idea applies even for non-dual queues that
* support deletion of interior elements, such as
* j.u.c.ConcurrentLinkedQueue.)
*
* Once a node is matched, its match status can never again
* change. We may thus arrange that the linked list of them
* contain a prefix of zero or more matched nodes, followed by a
* suffix of zero or more unmatched nodes. (Note that we allow
* both the prefix and suffix to be zero length, which in turn
* means that we do not use a dummy header.) If we were not
* concerned with either time or space efficiency, we could
* correctly perform enqueue and dequeue operations by traversing
* from a pointer to the initial node; CASing the item of the
* first unmatched node on match and CASing the next field of the
* trailing node on appends. (Plus some special-casing when
* initially empty). While this would be a terrible idea in
* itself, it does have the benefit of not requiring ANY atomic
*
* We introduce here an approach that lies between the extremes of
* never versus always updating queue (head and tail) pointers.
* This offers a tradeoff between sometimes requiring extra
* nodes, versus the reduced overhead and contention of fewer
* updates to queue pointers. For example, a possible snapshot of
* a queue is:
*
* head tail
* | |
* v v
* M -> M -> U -> U -> U -> U
*
* The best value for this "slack" (the targeted maximum distance
* between the value of "head" and the first unmatched node, and
* similarly for "tail") is an empirical matter. We have found
* that using very small constants in the range of 1-3 work best
* over a range of platforms. Larger values introduce increasing
* costs of cache misses and risks of long traversal chains, while
* smaller values increase CAS contention and overhead.
*
* Dual queues with slack differ from plain M&S dual queues by
* virtue of only sometimes updating head or tail pointers when
* matching, appending, or even traversing nodes; in order to
* maintain a targeted slack. The idea of "sometimes" may be
* operationalized in several ways. The simplest is to use a
* per-operation counter incremented on each traversal step, and
* to try (via CAS) to update the associated queue pointer
* whenever the count exceeds a threshold. Another, that requires
* more overhead, is to use random number generators to update
* with a given probability per traversal step.
*
* In any strategy along these lines, because CASes updating
* fields may fail, the actual slack may exceed targeted
* slack. However, they may be retried at any time to maintain
* targets. Even when using very small slack values, this
* approach works well for dual queues because it allows all
* operations up to the point of matching or appending an item
* (hence potentially allowing progress by another thread) to be
* read-only, thus not introducing any further contention. As
* described below, we implement this by performing slack
* maintenance retries only after these points.
*
* As an accompaniment to such techniques, traversal overhead can
* be further reduced without increasing contention of head
* pointer updates: Threads may sometimes shortcut the "next" link
* path from the current "head" node to be closer to the currently
* known first unmatched node, and similarly for tail. Again, this
* may be triggered with using thresholds or randomization.
*
* These ideas must be further extended to avoid unbounded amounts
* of costly-to-reclaim garbage caused by the sequential "next"
* links of nodes starting at old forgotten head nodes: As first
* described in detail by Boehm
* delays noticing that any arbitrarily old node has become
* garbage, all newer dead nodes will also be unreclaimed.
* (Similar issues arise in non-GC environments.) To cope with
* this in our implementation, upon CASing to advance the head
* pointer, we set the "next" link of the previous head to point
* only to itself; thus limiting the length of connected dead lists.
* (We also take similar care to wipe out possibly garbage
* retaining values held in other Node fields.) However, doing so
* adds some further complexity to traversal: If any "next"
* pointer links to itself, it indicates that the current thread
* has lagged behind a head-update, and so the traversal must
* continue from the "head". Traversals trying to find the
* current tail starting from "tail" may also encounter
* self-links, in which case they also continue at "head".
*
* It is tempting in slack-based scheme to not even use CAS for
* updates (similarly to Ladan-Mozes & Shavit). However, this
* cannot be done for head updates under the above link-forgetting
* mechanics because an update may leave head at a detached node.
* And while direct writes are possible for tail updates, they
* increase the risk of long retraversals, and hence long garbage
* chains, which can be much more costly than is worthwhile
* considering that the cost difference of performing a CAS vs
* write is smaller when they are not triggered on each operation
* (especially considering that writes and CASes equally require
* additional GC bookkeeping ("write barriers") that are sometimes
* more costly than the writes themselves because of contention).
*
* *** Overview of implementation ***
*
* We use a threshold-based approach to updates, with a slack
* current pointer appears to be two or more steps away from the
* than one is naturally implemented by checking equality of
* traversal pointers except when the list has only one element,
* in which case we keep slack threshold at one. Avoiding tracking
* explicit counts across method calls slightly simplifies an
* already-messy implementation. Using randomization would
* probably work better if there were a low-quality dirt-cheap
* per-thread one available, but even ThreadLocalRandom is too
* heavy for these purposes.
*
* With such a small slack threshold value, it is not worthwhile
* to augment this with path short-circuiting (i.e., unsplicing
* interior nodes) except in the case of cancellation/removal (see
* below).
*
* We allow both the head and tail fields to be null before any
* nodes are enqueued; initializing upon first append. This
* simplifies some other logic, as well as providing more
* efficient explicit control paths instead of letting JVMs insert
* implicit NullPointerExceptions when they are null. While not
* currently fully implemented, we also leave open the possibility
* of re-nulling these fields when empty (which is complicated to
* arrange, for little benefit.)
*
* "xfer" with parameters indicating whether to act as some form
* of offer, put, poll, take, or transfer (each possibly with
* timeout). The relative complexity of using one monolithic
* method outweighs the code bulk and maintenance problems of
* using separate methods for each case.
*
* Operation consists of up to three phases. The first is
* implemented within method xfer, the second in tryAppend, and
* the third in method awaitMatch.
*
* 1. Try to match an existing node
*
* Starting at head, skip already-matched nodes until finding
* an unmatched node of opposite mode, if one exists, in which
* case matching it and returning, also if necessary updating
* head to one past the matched node (or the node itself if the
* list has no other unmatched nodes). If the CAS misses, then
* a loop retries advancing head by two steps until either
* success or the slack is at most two. By requiring that each
* attempt advances head by two (if applicable), we ensure that
* the slack does not grow without bound. Traversals also check
* if the initial head is now off-list, in which case they
* start at the new head.
*
* If no candidates are found and the call was untimed
*
* 2. Try to append a new node (method tryAppend)
*
* Starting at current tail pointer, find the actual last node
* and try to append a new node (or if head was null, establish
* the first node). Nodes can be appended only if their
* predecessors are either already matched or are of the same
* mode. If we detect otherwise, then a new node with opposite
* mode must have been appended during traversal, so we must
* restart at phase 1. The traversal and update steps are
* otherwise similar to phase 1: Retrying upon CAS misses and
* checking for staleness. In particular, if a self-link is
* encountered, then we can safely jump to a node on the list
* by continuing the traversal at current head.
*
* On successful append, if the call was ASYNC, return.
*
* 3. Await match or cancellation (method awaitMatch)
*
* Wait for another thread to match node; instead cancelling if
* the current thread was interrupted or the wait timed out. On
* multiprocessors, we use front-of-queue spinning: If a node
* appears to be the first unmatched node in the queue, it
* spins a bit before blocking. In either case, before blocking
* it tries to unsplice any nodes between the current "head"
* and the first unmatched node.
*
* Front-of-queue spinning vastly improves performance of
* heavily contended queues. And so long as it is relatively
* brief and "quiet", spinning does not much impact performance
* of less-contended queues. During spins threads check their
* interrupt status and generate a thread-local random number
* to decide to occasionally perform a Thread.yield. While
* yield has underdefined specs, we assume that might it help,
* and will not hurt in limiting impact of spinning on busy
* systems. We also use smaller (1/2) spins for nodes that are
* not known to be front but whose predecessors have not
* blocked -- these "chained" spins avoid artifacts of
* front-of-queue rules which otherwise lead to alternating
* nodes spinning vs blocking. Further, front threads that
* represent phase changes (from data to request node or vice
* versa) compared to their predecessors receive additional
* chained spins, reflecting longer paths typically required to
* unblock threads during phase changes.
*
*
* ** Unlinking removed interior nodes **
*
* In addition to minimizing garbage retention via self-linking
* described above, we also unlink removed interior nodes. These
* may arise due to timed out or interrupted waits, or calls to
* remove(x) or Iterator.remove. Normally, given a node that was
* at one time known to be the predecessor of some node s that is
* to be removed, we can unsplice s by CASing the next field of
* its predecessor if it still points to s (otherwise s must
* already have been removed or is now offlist). But there are two
* situations in which we cannot guarantee to make node s
* unreachable in this way: (1) If s is the trailing node of list
* (i.e., with null next), then it is pinned as the target node
* for appends, so can only be removed later after other nodes are
* appended. (2) We cannot necessarily unlink s given a
* predecessor node that is matched (including the case of being
* cancelled): the predecessor may already be unspliced, in which
* case some previous reachable node may still point to s.
* (For further explanation see Herlihy & Shavit "The Art of
* Multiprocessor Programming" chapter 9). Although, in both
* cases, we can rule out the need for further action if either s
* or its predecessor are (or can be made to be) at, or fall off
* from, the head of list.
*
* Without taking these into account, it would be possible for an
* unbounded number of supposedly removed nodes to remain
* reachable. Situations leading to such buildup are uncommon but
* can occur in practice; for example when a series of short timed
* calls to poll repeatedly time out but never otherwise fall off
* the list because of an untimed call to take at the front of the
* queue.
*
* When these cases arise, rather than always retraversing the
* entire list to find an actual predecessor to unlink (which
* won't help for case (1) anyway), we record a conservative
* estimate of possible unsplice failures (in "sweepVotes").
* We trigger a full sweep when the estimate exceeds a threshold
* ("SWEEP_THRESHOLD") indicating the maximum number of estimated
* removal failures to tolerate before sweeping through, unlinking
* cancelled nodes that were not unlinked upon initial removal.
* We perform sweeps by the thread hitting threshold (rather than
* background threads or by spreading work to other threads)
* because in the main contexts in which removal occurs, the
* caller is already timed-out, cancelled, or performing a
* potentially O(n) operation (e.g. remove(x)), none of which are
* time-critical enough to warrant the overhead that alternatives
* would impose on other threads.
*
* Because the sweepVotes estimate is conservative, and because
* nodes become unlinked "naturally" as they fall off the head of
* the queue, and because we allow votes to accumulate even while
* sweeps are in progress, there are typically significantly fewer
* such nodes than estimated. Choice of a threshold value
* balances the likelihood of wasted effort and contention, versus
* providing a worst-case bound on retention of interior nodes in
* quiescent queues. The value defined below was chosen
* empirically to balance these under various timeout scenarios.
*
* Note that we cannot self-link unlinked interior nodes during
* sweeps. However, the associated garbage chains terminate when
* some successor ultimately falls off the head of the list and is
* self-linked.
*/
/** True if on multiprocessor */
private static final boolean MP =
/**
* The number of times to spin (with randomly interspersed calls
* to Thread.yield) on multiprocessor before blocking when a node
* is apparently the first waiter in the queue. See above for
* explanation. Must be a power of two. The value is empirically
* derived -- it works pretty well across a variety of processors,
* numbers of CPUs, and OSes.
*/
/**
* The number of times to spin before blocking when a node is
* preceded by another node that is apparently spinning. Also
* serves as an increment to FRONT_SPINS on phase changes, and as
* base average frequency for yielding during spins. Must be a
* power of two.
*/
/**
* The maximum number of estimated removal failures (sweepVotes)
* to tolerate before sweeping through the queue unlinking
* cancelled nodes that were not unlinked upon initial
* removal. See above for explanation. The value must be at least
* two to avoid useless sweeps when removing trailing nodes.
*/
/**
* Queue nodes. Uses Object, not E, for items to allow forgetting
* them after use. Relies heavily on Unsafe mechanics to minimize
* unnecessary ordering constraints: Writes that are intrinsically
* ordered wrt other accesses or CASes use simple relaxed forms.
*/
static final class Node {
// CAS methods for fields
}
// assert cmp == null || cmp.getClass() != Node.class;
}
/**
* Constructs a new node. Uses relaxed write because item can
* only be seen after publication via casNext.
*/
}
/**
* Links node to itself to avoid garbage retention. Called
* only after CASing head field, so uses relaxed write.
*/
final void forgetNext() {
}
/**
* Sets item to self and waiter to null, to avoid garbage
* retention after matching or cancelling. Uses relaxed writes
* because order is already constrained in the only calling
* mechanics that extract items. Similarly, clearing waiter
* follows either CAS or return from park (if ever parked;
* else we don't care).
*/
final void forgetContents() {
}
/**
* Returns true if this node has been matched, including the
* case of artificial matches due to cancellation.
*/
final boolean isMatched() {
}
/**
* Returns true if this is an unmatched request node.
*/
final boolean isUnmatchedRequest() {
}
/**
* Returns true if a node with the given mode cannot be
* appended to this node because this node is unmatched and
* has opposite data mode.
*/
boolean d = isData;
Object x;
}
/**
* Tries to artificially match a data node -- used by remove.
*/
final boolean tryMatchData() {
// assert isData;
return true;
}
return false;
}
// Unsafe mechanics
private static final long itemOffset;
private static final long nextOffset;
private static final long waiterOffset;
static {
try {
(k.getDeclaredField("item"));
(k.getDeclaredField("next"));
(k.getDeclaredField("waiter"));
} catch (Exception e) {
throw new Error(e);
}
}
}
/** head of the queue; null until first enqueue */
/** tail of the queue; null until first append */
/** The number of apparent failures to unsplice removed nodes */
private transient volatile int sweepVotes;
// CAS methods for fields
}
}
}
/*
* Possible values for "how" argument in xfer method.
*/
@SuppressWarnings("unchecked")
// assert item == null || item.getClass() != Node.class;
return (E) item;
}
/**
* Implements all queuing methods. See above for explanation.
*
* @param e the item or null for take
* @param haveData true if this is a put, else a take
* @param how NOW, ASYNC, SYNC, or TIMED
* @param nanos timeout in nanosecs, used only if mode is TIMED
* @return an item if matched, else e
* @throws NullPointerException if haveData mode but e is null
*/
throw new NullPointerException();
for (;;) { // restart on append race
break;
for (Node q = p; q != h;) {
h.forgetNext();
break;
} // advance and retry
break; // unless slack < 2
}
}
}
p = (p != n) ? n : (h = head); // Use head if p offlist
}
if (s == null)
continue retry; // lost race vs opposite mode
}
return e; // not waiting
}
}
/**
* Tries to append node s as tail.
*
* @param s the node to append
* @param haveData true if appending in data mode
* @return null on failure due to losing race with append in
* different mode, else s's predecessor, or s itself if no
* predecessor
*/
Node n, u; // temps for reads of next & tail
return s; // initialize
}
else if (p.cannotPrecede(haveData))
return null; // lost race vs opposite mode
p = p != t && t != (u = tail) ? (t = u) : // stale tail
(p != n) ? n : null; // restart if off list
p = p.next; // re-read on CAS failure
else {
if (p != t) { // update if slack now >= 2
}
return p;
}
}
}
/**
*
* @param s the waiting node
* @param pred the predecessor of s, or s itself if it has no
* predecessor, or null if unknown (the null case does not occur
* in any current calls but may in possible future extensions)
* @param e the comparison value for checking match
* @param timed if true, wait only until timeout elapses
* @param nanos timeout in nanosecs, used only if timed is true
* @return matched item, or e if unmatched on interrupt or timeout
*/
for (;;) {
if (item != e) { // matched
// assert item != s;
s.forgetContents(); // avoid garbage
}
s.casItem(e, s)) { // cancel
return e;
}
}
--spins;
}
s.waiter = w; // request unpark then recheck
}
else if (timed) {
}
else {
LockSupport.park(this);
}
}
}
/**
* data mode. See above for explanation.
*/
return FRONT_SPINS + CHAINED_SPINS;
return FRONT_SPINS;
return CHAINED_SPINS;
}
return 0;
}
/* -------------- Traversal methods -------------- */
/**
* Returns the successor of p, or the head node if p.next has been
* linked to self, which will only be true if traversing with a
* stale pointer that is now off the list.
*/
}
/**
* Returns the first unmatched node of the given mode, or null if
* none. Used by methods isEmpty, hasWaitingConsumer.
*/
if (!p.isMatched())
}
return null;
}
/**
* Returns the item in the first unmatched node with isData; or
* null if none. Used by peek.
*/
private E firstDataItem() {
if (p.isData) {
}
return null;
}
return null;
}
/**
* Traverses and counts unmatched nodes of the given mode.
* Used by methods size and getWaitingConsumerCount.
*/
int count = 0;
if (!p.isMatched()) {
return 0;
break;
}
if (n != p)
p = n;
else {
count = 0;
p = head;
}
}
return count;
}
/**
* Moves to next node after prev, or first node if prev null.
*/
/*
* To track and avoid buildup of deleted nodes in the face
* of calls to both Queue.remove and Itr.remove, we must
* include variants of unsplice and sweep upon each
* advance: Upon Itr.remove, we may need to catch up links
* from lastPred, and upon other removes, we might need to
* skip ahead from stale nodes and unsplice deleted ones
* found while advancing.
*/
Node r, b; // reset lastPred upon possible deletion of lastRet
lastPred = r; // next lastPred is old lastRet
else {
Node s, n; // help with removal of lastPred.next
s != b && s.isMatched() &&
b.casNext(s, n);
}
if (s == null)
break;
else if (s == p) {
p = null;
continue;
}
if (s.isData) {
nextNode = s;
return;
}
}
break;
// assert s.isMatched();
if (p == null)
p = s;
break;
else if (s == n)
p = null;
else
p.casNext(s, n);
}
}
Itr() {
}
public final boolean hasNext() {
}
public final E next() {
if (p == null) throw new NoSuchElementException();
E e = nextItem;
advance(p);
return e;
}
public final void remove() {
throw new IllegalStateException();
if (lastRet.tryMatchData())
}
}
/* -------------- Removal methods -------------- */
/**
* the given predecessor.
*
* @param pred a node that was at one time known to be the
* @param s the node to be unspliced
*/
s.forgetContents(); // forget unneeded fields
/*
* See above for rationale. Briefly: if pred still points to
* s, try to unlink s. If s cannot be unlinked, because it is
* trailing node or pred might be unlinked, and neither pred
* nor s are head or offlist, add to sweepVotes, and if enough
* votes have accumulated, sweep.
*/
if (n == null ||
for (;;) { // check if at, or could be, head
return; // at head or list empty
if (!h.isMatched())
break;
return; // now empty
h.forgetNext(); // advance head
}
for (;;) { // sweep now if enough votes
int v = sweepVotes;
if (v < SWEEP_THRESHOLD) {
if (casSweepVotes(v, v + 1))
break;
}
else if (casSweepVotes(v, 0)) {
sweep();
break;
}
}
}
}
}
}
/**
* Unlinks matched (typically cancelled) nodes encountered in a
* traversal from head.
*/
private void sweep() {
if (!s.isMatched())
// Unmatched nodes are never self-linked
p = s;
break;
else if (s == n) // stale
// No need to also check for p == s, since that implies s == n
p = head;
else
p.casNext(s, n);
}
}
/**
* Main implementation of remove(Object)
*/
if (e != null) {
if (p.isData) {
p.tryMatchData()) {
return true;
}
}
break;
pred = p;
p = head;
}
}
}
return false;
}
/**
* Creates an initially empty {@code LinkedTransferQueue}.
*/
public LinkedTransferQueue() {
}
/**
* Creates a {@code LinkedTransferQueue}
* initially containing the elements of the given collection,
* added in traversal order of the collection's iterator.
*
* @param c the collection of elements to initially contain
* @throws NullPointerException if the specified collection or any
* of its elements are null
*/
this();
addAll(c);
}
/**
* Inserts the specified element at the tail of this queue.
* As the queue is unbounded, this method will never block.
*
* @throws NullPointerException if the specified element is null
*/
public void put(E e) {
}
/**
* Inserts the specified element at the tail of this queue.
* As the queue is unbounded, this method will never block or
* return {@code false}.
*
* @return {@code true} (as specified by
* {@link BlockingQueue#offer(Object,long,TimeUnit) BlockingQueue.offer})
* @throws NullPointerException if the specified element is null
*/
return true;
}
/**
* Inserts the specified element at the tail of this queue.
* As the queue is unbounded, this method will never return {@code false}.
*
* @return {@code true} (as specified by {@link Queue#offer})
* @throws NullPointerException if the specified element is null
*/
public boolean offer(E e) {
return true;
}
/**
* Inserts the specified element at the tail of this queue.
* As the queue is unbounded, this method will never throw
* {@link IllegalStateException} or return {@code false}.
*
* @return {@code true} (as specified by {@link Collection#add})
* @throws NullPointerException if the specified element is null
*/
public boolean add(E e) {
return true;
}
/**
* Transfers the element to a waiting consumer immediately, if possible.
*
* <p>More precisely, transfers the specified element immediately
* if there exists a consumer already waiting to receive it (in
* {@link #take} or timed {@link #poll(long,TimeUnit) poll}),
* otherwise returning {@code false} without enqueuing the element.
*
* @throws NullPointerException if the specified element is null
*/
public boolean tryTransfer(E e) {
}
/**
* Transfers the element to a consumer, waiting if necessary to do so.
*
* <p>More precisely, transfers the specified element immediately
* if there exists a consumer already waiting to receive it (in
* {@link #take} or timed {@link #poll(long,TimeUnit) poll}),
* else inserts the specified element at the tail of this queue
* and waits until the element is received by a consumer.
*
* @throws NullPointerException if the specified element is null
*/
throw new InterruptedException();
}
}
/**
* Transfers the element to a consumer if it is possible to do so
* before the timeout elapses.
*
* <p>More precisely, transfers the specified element immediately
* if there exists a consumer already waiting to receive it (in
* {@link #take} or timed {@link #poll(long,TimeUnit) poll}),
* else inserts the specified element at the tail of this queue
* and waits until the element is received by a consumer,
* returning {@code false} if the specified wait time elapses
* before the element can be transferred.
*
* @throws NullPointerException if the specified element is null
*/
throws InterruptedException {
return true;
if (!Thread.interrupted())
return false;
throw new InterruptedException();
}
if (e != null)
return e;
throw new InterruptedException();
}
return e;
throw new InterruptedException();
}
public E poll() {
}
/**
* @throws NullPointerException {@inheritDoc}
* @throws IllegalArgumentException {@inheritDoc}
*/
if (c == null)
throw new NullPointerException();
if (c == this)
throw new IllegalArgumentException();
int n = 0;
E e;
c.add(e);
++n;
}
return n;
}
/**
* @throws NullPointerException {@inheritDoc}
* @throws IllegalArgumentException {@inheritDoc}
*/
if (c == null)
throw new NullPointerException();
if (c == this)
throw new IllegalArgumentException();
int n = 0;
E e;
c.add(e);
++n;
}
return n;
}
/**
* Returns an iterator over the elements in this queue in proper sequence.
* The elements will be returned in order from first (head) to last (tail).
*
* <p>The returned iterator is a "weakly consistent" iterator that
* will never throw {@link java.util.ConcurrentModificationException
* ConcurrentModificationException}, and guarantees to traverse
* elements as they existed upon construction of the iterator, and
* may (but is not guaranteed to) reflect any modifications
* subsequent to construction.
*
* @return an iterator over the elements in this queue in proper sequence
*/
return new Itr();
}
public E peek() {
return firstDataItem();
}
/**
* Returns {@code true} if this queue contains no elements.
*
* @return {@code true} if this queue contains no elements
*/
public boolean isEmpty() {
if (!p.isMatched())
return !p.isData;
}
return true;
}
public boolean hasWaitingConsumer() {
return firstOfMode(false) != null;
}
/**
* Returns the number of elements in this queue. If this queue
* contains more than {@code Integer.MAX_VALUE} elements, returns
* {@code Integer.MAX_VALUE}.
*
* <p>Beware that, unlike in most collections, this method is
* <em>NOT</em> a constant-time operation. Because of the
* asynchronous nature of these queues, determining the current
* number of elements requires an O(n) traversal.
*
* @return the number of elements in this queue
*/
public int size() {
return countOfMode(true);
}
public int getWaitingConsumerCount() {
return countOfMode(false);
}
/**
* Removes a single instance of the specified element from this queue,
* if it is present. More formally, removes an element {@code e} such
* that {@code o.equals(e)}, if this queue contains one or more such
* elements.
* Returns {@code true} if this queue contained the specified element
* (or equivalently, if this queue changed as a result of the call).
*
* @param o element to be removed from this queue, if present
* @return {@code true} if this queue changed as a result of the call
*/
return findAndRemove(o);
}
/**
* Returns {@code true} if this queue contains the specified element.
* More formally, returns {@code true} if and only if this queue contains
* at least one element {@code e} such that {@code o.equals(e)}.
*
* @param o object to be checked for containment in this queue
* @return {@code true} if this queue contains the specified element
*/
if (o == null) return false;
if (p.isData) {
return true;
}
break;
}
return false;
}
/**
* Always returns {@code Integer.MAX_VALUE} because a
* {@code LinkedTransferQueue} is not capacity constrained.
*
* @return {@code Integer.MAX_VALUE} (as specified by
* {@link BlockingQueue#remainingCapacity()})
*/
public int remainingCapacity() {
}
/**
* Saves the state to a stream (that is, serializes it).
*
* @serialData All of the elements (each an {@code E}) in
* the proper order, followed by a null
* @param s the stream
*/
s.defaultWriteObject();
for (E e : this)
s.writeObject(e);
// Use trailing null as sentinel
s.writeObject(null);
}
/**
* Reconstitutes the Queue instance from a stream (that is,
* deserializes it).
*
* @param s the stream
*/
s.defaultReadObject();
for (;;) {
break;
else
}
}
// Unsafe mechanics
private static final long headOffset;
private static final long tailOffset;
private static final long sweepVotesOffset;
static {
try {
Class k = LinkedTransferQueue.class;
(k.getDeclaredField("head"));
(k.getDeclaredField("tail"));
(k.getDeclaredField("sweepVotes"));
} catch (Exception e) {
throw new Error(e);
}
}
}