public abstract class CountedCompleter<T> extends ForkJoinTask<T>
ForkJoinTask
with a completion action performed when
triggered and there are no remaining pending actions.
CountedCompleters are in general more robust in the
presence of subtask stalls and blockage than are other forms of
ForkJoinTasks, but are less intuitive to program. Uses of
CountedCompleter are similar to those of other completion based
components (such as CompletionHandler
)
except that multiple pending completions may be necessary
to trigger the completion action onCompletion(CountedCompleter)
,
not just one.
Unless initialized otherwise, the pending
count starts at zero, but may be (atomically) changed using
methods setPendingCount(int)
, addToPendingCount(int)
, and
compareAndSetPendingCount(int, int)
. Upon invocation of tryComplete()
, if the pending action count is nonzero, it is
decremented; otherwise, the completion action is performed, and if
this completer itself has a completer, the process is continued
with its completer. As is the case with related synchronization
components such as Phaser
and
Semaphore
, these methods
affect only internal counts; they do not establish any further
internal bookkeeping. In particular, the identities of pending
tasks are not maintained. As illustrated below, you can create
subclasses that do record some or all pending tasks or their
results when needed. As illustrated below, utility methods
supporting customization of completion traversals are also
provided. However, because CountedCompleters provide only basic
synchronization mechanisms, it may be useful to create further
abstract subclasses that maintain linkages, fields, and additional
support methods appropriate for a set of related usages.
A concrete CountedCompleter class must define method compute()
, that should in most cases (as illustrated below), invoke
tryComplete()
once before returning. The class may also
optionally override method onCompletion(CountedCompleter)
to perform an action upon normal completion, and method
onExceptionalCompletion(Throwable, CountedCompleter)
to
perform an action upon any exception.
CountedCompleters most often do not bear results, in which case
they are normally declared as CountedCompleter<Void>
, and
will always return null
as a result value. In other cases,
you should override method getRawResult()
to provide a
result from join(), invoke()
, and related methods. In
general, this method should return the value of a field (or a
function of one or more fields) of the CountedCompleter object that
holds the result upon completion. Method setRawResult(T)
by
default plays no role in CountedCompleters. It is possible, but
rarely applicable, to override this method to maintain other
objects or fields holding result data.
A CountedCompleter that does not itself have a completer (i.e.,
one for which getCompleter()
returns null
) can be
used as a regular ForkJoinTask with this added functionality.
However, any completer that in turn has another completer serves
only as an internal helper for other computations, so its own task
status (as reported in methods such as ForkJoinTask.isDone()
)
is arbitrary; this status changes only upon explicit invocations of
complete(T)
, ForkJoinTask.cancel(boolean)
,
ForkJoinTask.completeExceptionally(Throwable)
or upon
exceptional completion of method compute
. Upon any
exceptional completion, the exception may be relayed to a task's
completer (and its completer, and so on), if one exists and it has
not otherwise already completed. Similarly, cancelling an internal
CountedCompleter has only a local effect on that completer, so is
not often useful.
Sample Usages.
Parallel recursive decomposition. CountedCompleters may
be arranged in trees similar to those often used with RecursiveAction
s, although the constructions involved in setting
them up typically vary. Here, the completer of each task is its
parent in the computation tree. Even though they entail a bit more
bookkeeping, CountedCompleters may be better choices when applying
a possibly time-consuming operation (that cannot be further
subdivided) to each element of an array or collection; especially
when the operation takes a significantly different amount of time
to complete for some elements than others, either because of
intrinsic variation (for example I/O) or auxiliary effects such as
garbage collection. Because CountedCompleters provide their own
continuations, other threads need not block waiting to perform
them.
For example, here is an initial version of a class that uses
divide-by-two recursive decomposition to divide work into single
pieces (leaf tasks). Even when work is split into individual calls,
tree-based techniques are usually preferable to directly forking
leaf tasks, because they reduce inter-thread communication and
improve load balancing. In the recursive case, the second of each
pair of subtasks to finish triggers completion of its parent
(because no result combination is performed, the default no-op
implementation of method onCompletion
is not overridden).
A static utility method sets up the base task and invokes it
(here, implicitly using the ForkJoinPool.commonPool()
).
class MyOperation<E> { void apply(E e) { ... } }
class ForEach<E> extends CountedCompleter<Void> {
public static <E> void forEach(E[] array, MyOperation<E> op) {
new ForEach<E>(null, array, op, 0, array.length).invoke();
}
final E[] array; final MyOperation<E> op; final int lo, hi;
ForEach(CountedCompleter<?> p, E[] array, MyOperation<E> op, int lo, int hi) {
super(p);
this.array = array; this.op = op; this.lo = lo; this.hi = hi;
}
public void compute() { // version 1
if (hi - lo >= 2) {
int mid = (lo + hi) >>> 1;
setPendingCount(2); // must set pending count before fork
new ForEach(this, array, op, mid, hi).fork(); // right child
new ForEach(this, array, op, lo, mid).fork(); // left child
}
else if (hi > lo)
op.apply(array[lo]);
tryComplete();
}
}
This design can be improved by noticing that in the recursive case,
the task has nothing to do after forking its right task, so can
directly invoke its left task before returning. (This is an analog
of tail recursion removal.) Also, because the task returns upon
executing its left task (rather than falling through to invoke
tryComplete
) the pending count is set to one:
class ForEach<E> ...
public void compute() { // version 2
if (hi - lo >= 2) {
int mid = (lo + hi) >>> 1;
setPendingCount(1); // only one pending
new ForEach(this, array, op, mid, hi).fork(); // right child
new ForEach(this, array, op, lo, mid).compute(); // direct invoke
}
else {
if (hi > lo)
op.apply(array[lo]);
tryComplete();
}
}
As a further improvement, notice that the left task need not even exist.
Instead of creating a new one, we can iterate using the original task,
and add a pending count for each fork. Additionally, because no task
in this tree implements an onCompletion(CountedCompleter)
method,
tryComplete()
can be replaced with propagateCompletion()
.
class ForEach<E> ...
public void compute() { // version 3
int l = lo, h = hi;
while (h - l >= 2) {
int mid = (l + h) >>> 1;
addToPendingCount(1);
new ForEach(this, array, op, mid, h).fork(); // right child
h = mid;
}
if (h > l)
op.apply(array[l]);
propagateCompletion();
}
Additional improvements of such classes might entail precomputing
pending counts so that they can be established in constructors,
specializing classes for leaf steps, subdividing by say, four,
instead of two per iteration, and using an adaptive threshold
instead of always subdividing down to single elements.
Searching. A tree of CountedCompleters can search for a
value or property in different parts of a data structure, and
report a result in an AtomicReference
as
soon as one is found. The others can poll the result to avoid
unnecessary work. (You could additionally cancel other tasks, but it is usually simpler and more efficient
to just let them notice that the result is set and if so skip
further processing.) Illustrating again with an array using full
partitioning (again, in practice, leaf tasks will almost always
process more than one element):
class Searcher<E> extends CountedCompleter<E> {
final E[] array; final AtomicReference<E> result; final int lo, hi;
Searcher(CountedCompleter<?> p, E[] array, AtomicReference<E> result, int lo, int hi) {
super(p);
this.array = array; this.result = result; this.lo = lo; this.hi = hi;
}
public E getRawResult() { return result.get(); }
public void compute() { // similar to ForEach version 3
int l = lo, h = hi;
while (result.get() == null && h >= l) {
if (h - l >= 2) {
int mid = (l + h) >>> 1;
addToPendingCount(1);
new Searcher(this, array, result, mid, h).fork();
h = mid;
}
else {
E x = array[l];
if (matches(x) && result.compareAndSet(null, x))
quietlyCompleteRoot(); // root task is now joinable
break;
}
}
tryComplete(); // normally complete whether or not found
}
boolean matches(E e) { ... } // return true if found
public static <E> E search(E[] array) {
return new Searcher<E>(null, array, new AtomicReference<E>(), 0, array.length).invoke();
}
}
In this example, as well as others in which tasks have no other
effects except to compareAndSet a common result, the trailing
unconditional invocation of tryComplete
could be made
conditional (if (result.get() == null) tryComplete();
)
because no further bookkeeping is required to manage completions
once the root task completes.
Recording subtasks. CountedCompleter tasks that combine
results of multiple subtasks usually need to access these results
in method onCompletion(CountedCompleter)
. As illustrated in the following
class (that performs a simplified form of map-reduce where mappings
and reductions are all of type E
), one way to do this in
divide and conquer designs is to have each subtask record its
sibling, so that it can be accessed in method onCompletion
.
This technique applies to reductions in which the order of
combining left and right results does not matter; ordered
reductions require explicit left/right designations. Variants of
other streamlinings seen in the above examples may also apply.
class MyMapper<E> { E apply(E v) { ... } }
class MyReducer<E> { E apply(E x, E y) { ... } }
class MapReducer<E> extends CountedCompleter<E> {
final E[] array; final MyMapper<E> mapper;
final MyReducer<E> reducer; final int lo, hi;
MapReducer<E> sibling;
E result;
MapReducer(CountedCompleter<?> p, E[] array, MyMapper<E> mapper,
MyReducer<E> reducer, int lo, int hi) {
super(p);
this.array = array; this.mapper = mapper;
this.reducer = reducer; this.lo = lo; this.hi = hi;
}
public void compute() {
if (hi - lo >= 2) {
int mid = (lo + hi) >>> 1;
MapReducer<E> left = new MapReducer(this, array, mapper, reducer, lo, mid);
MapReducer<E> right = new MapReducer(this, array, mapper, reducer, mid, hi);
left.sibling = right;
right.sibling = left;
setPendingCount(1); // only right is pending
right.fork();
left.compute(); // directly execute left
}
else {
if (hi > lo)
result = mapper.apply(array[lo]);
tryComplete();
}
}
public void onCompletion(CountedCompleter<?> caller) {
if (caller != this) {
MapReducer<E> child = (MapReducer<E>)caller;
MapReducer<E> sib = child.sibling;
if (sib == null || sib.result == null)
result = child.result;
else
result = reducer.apply(child.result, sib.result);
}
}
public E getRawResult() { return result; }
public static <E> E mapReduce(E[] array, MyMapper<E> mapper, MyReducer<E> reducer) {
return new MapReducer<E>(null, array, mapper, reducer,
0, array.length).invoke();
}
}
Here, method onCompletion
takes a form common to many
completion designs that combine results. This callback-style method
is triggered once per task, in either of the two different contexts
in which the pending count is, or becomes, zero: (1) by a task
itself, if its pending count is zero upon invocation of tryComplete
, or (2) by any of its subtasks when they complete and
decrement the pending count to zero. The caller
argument
distinguishes cases. Most often, when the caller is this
,
no action is necessary. Otherwise the caller argument can be used
(usually via a cast) to supply a value (and/or links to other
values) to be combined. Assuming proper use of pending counts, the
actions inside onCompletion
occur (once) upon completion of
a task and its subtasks. No additional synchronization is required
within this method to ensure thread safety of accesses to fields of
this task or other completed tasks.
Completion Traversals. If using onCompletion
to
process completions is inapplicable or inconvenient, you can use
methods firstComplete()
and nextComplete()
to create
custom traversals. For example, to define a MapReducer that only
splits out right-hand tasks in the form of the third ForEach
example, the completions must cooperatively reduce along
unexhausted subtask links, which can be done as follows:
class MapReducer<E> extends CountedCompleter<E> { // version 2
final E[] array; final MyMapper<E> mapper;
final MyReducer<E> reducer; final int lo, hi;
MapReducer<E> forks, next; // record subtask forks in list
E result;
MapReducer(CountedCompleter<?> p, E[] array, MyMapper<E> mapper,
MyReducer<E> reducer, int lo, int hi, MapReducer<E> next) {
super(p);
this.array = array; this.mapper = mapper;
this.reducer = reducer; this.lo = lo; this.hi = hi;
this.next = next;
}
public void compute() {
int l = lo, h = hi;
while (h - l >= 2) {
int mid = (l + h) >>> 1;
addToPendingCount(1);
(forks = new MapReducer(this, array, mapper, reducer, mid, h, forks)).fork();
h = mid;
}
if (h > l)
result = mapper.apply(array[l]);
// process completions by reducing along and advancing subtask links
for (CountedCompleter<?> c = firstComplete(); c != null; c = c.nextComplete()) {
for (MapReducer t = (MapReducer)c, s = t.forks; s != null; s = t.forks = s.next)
t.result = reducer.apply(t.result, s.result);
}
}
public E getRawResult() { return result; }
public static <E> E mapReduce(E[] array, MyMapper<E> mapper, MyReducer<E> reducer) {
return new MapReducer<E>(null, array, mapper, reducer,
0, array.length, null).invoke();
}
}
Triggers. Some CountedCompleters are themselves never forked, but instead serve as bits of plumbing in other designs; including those in which the completion of one or more async tasks triggers another async task. For example:
class HeaderBuilder extends CountedCompleter<...> { ... }
class BodyBuilder extends CountedCompleter<...> { ... }
class PacketSender extends CountedCompleter<...> {
PacketSender(...) { super(null, 1); ... } // trigger on second completion
public void compute() { } // never called
public void onCompletion(CountedCompleter<?> caller) { sendPacket(); }
}
// sample use:
PacketSender p = new PacketSender();
new HeaderBuilder(p, ...).fork();
new BodyBuilder(p, ...).fork();
Modifier | Constructor and Description |
---|---|
protected |
CountedCompleter()
Creates a new CountedCompleter with no completer
and an initial pending count of zero.
|
protected |
CountedCompleter(CountedCompleter<?> completer)
Creates a new CountedCompleter with the given completer
and an initial pending count of zero.
|
protected |
CountedCompleter(CountedCompleter<?> completer,
int initialPendingCount)
Creates a new CountedCompleter with the given completer
and initial pending count.
|
Modifier and Type | Method and Description |
---|---|
void |
addToPendingCount(int delta)
Adds (atomically) the given value to the pending count.
|
boolean |
compareAndSetPendingCount(int expected,
int count)
Sets (atomically) the pending count to the given count only if
it currently holds the given expected value.
|
void |
complete(T rawResult)
Regardless of pending count, invokes
onCompletion(CountedCompleter) , marks this task as
complete and further triggers tryComplete() on this
task's completer, if one exists. |
abstract void |
compute()
The main computation performed by this task.
|
int |
decrementPendingCountUnlessZero()
If the pending count is nonzero, (atomically) decrements it.
|
protected boolean |
exec()
Implements execution conventions for CountedCompleters.
|
CountedCompleter<?> |
firstComplete()
If this task's pending count is zero, returns this task;
otherwise decrements its pending count and returns
null . |
CountedCompleter<?> |
getCompleter()
Returns the completer established in this task's constructor,
or
null if none. |
int |
getPendingCount()
Returns the current pending count.
|
T |
getRawResult()
Returns the result of the computation.
|
CountedCompleter<?> |
getRoot()
Returns the root of the current computation; i.e., this
task if it has no completer, else its completer's root.
|
void |
helpComplete(int maxTasks)
If this task has not completed, attempts to process at most the
given number of other unprocessed tasks for which this task is
on the completion path, if any are known to exist.
|
CountedCompleter<?> |
nextComplete()
If this task does not have a completer, invokes
ForkJoinTask.quietlyComplete() and returns null . |
void |
onCompletion(CountedCompleter<?> caller)
Performs an action when method
tryComplete() is invoked
and the pending count is zero, or when the unconditional
method complete(T) is invoked. |
boolean |
onExceptionalCompletion(Throwable ex,
CountedCompleter<?> caller)
Performs an action when method
ForkJoinTask.completeExceptionally(Throwable) is invoked or method compute() throws an exception, and this task has not already
otherwise completed normally. |
void |
propagateCompletion()
Equivalent to
tryComplete() but does not invoke onCompletion(CountedCompleter) along the completion path:
If the pending count is nonzero, decrements the count;
otherwise, similarly tries to complete this task's completer, if
one exists, else marks this task as complete. |
void |
quietlyCompleteRoot()
Equivalent to
getRoot().quietlyComplete() . |
void |
setPendingCount(int count)
Sets the pending count to the given value.
|
protected void |
setRawResult(T t)
A method that result-bearing CountedCompleters may optionally
use to help maintain result data.
|
void |
tryComplete()
If the pending count is nonzero, decrements the count;
otherwise invokes
onCompletion(CountedCompleter)
and then similarly tries to complete this task's completer,
if one exists, else marks this task as complete. |
adapt, adapt, adapt, cancel, compareAndSetForkJoinTaskTag, completeExceptionally, fork, get, get, getException, getForkJoinTaskTag, getPool, getQueuedTaskCount, getSurplusQueuedTaskCount, helpQuiesce, inForkJoinPool, invoke, invokeAll, invokeAll, invokeAll, isCancelled, isCompletedAbnormally, isCompletedNormally, isDone, join, peekNextLocalTask, pollNextLocalTask, pollTask, quietlyComplete, quietlyInvoke, quietlyJoin, reinitialize, setForkJoinTaskTag, tryUnfork
protected CountedCompleter(CountedCompleter<?> completer, int initialPendingCount)
completer
- this task's completer, or null
if noneinitialPendingCount
- the initial pending countprotected CountedCompleter(CountedCompleter<?> completer)
completer
- this task's completer, or null
if noneprotected CountedCompleter()
public abstract void compute()
public void onCompletion(CountedCompleter<?> caller)
tryComplete()
is invoked
and the pending count is zero, or when the unconditional
method complete(T)
is invoked. By default, this method
does nothing. You can distinguish cases by checking the
identity of the given caller argument. If not equal to this
, then it is typically a subtask that may contain results
(and/or links to other results) to combine.caller
- the task invoking this method (which may
be this task itself)public boolean onExceptionalCompletion(Throwable ex, CountedCompleter<?> caller)
ForkJoinTask.completeExceptionally(Throwable)
is invoked or method compute()
throws an exception, and this task has not already
otherwise completed normally. On entry to this method, this task
ForkJoinTask.isCompletedAbnormally()
. The return value
of this method controls further propagation: If true
and this task has a completer that has not completed, then that
completer is also completed exceptionally, with the same
exception as this completer. The default implementation of
this method does nothing except return true
.ex
- the exceptioncaller
- the task invoking this method (which may
be this task itself)true
if this exception should be propagated to this
task's completer, if one existspublic final CountedCompleter<?> getCompleter()
null
if none.public final int getPendingCount()
public final void setPendingCount(int count)
count
- the countpublic final void addToPendingCount(int delta)
delta
- the value to addpublic final boolean compareAndSetPendingCount(int expected, int count)
expected
- the expected valuecount
- the new valuetrue
if successfulpublic final int decrementPendingCountUnlessZero()
public final CountedCompleter<?> getRoot()
public final void tryComplete()
onCompletion(CountedCompleter)
and then similarly tries to complete this task's completer,
if one exists, else marks this task as complete.public final void propagateCompletion()
tryComplete()
but does not invoke onCompletion(CountedCompleter)
along the completion path:
If the pending count is nonzero, decrements the count;
otherwise, similarly tries to complete this task's completer, if
one exists, else marks this task as complete. This method may be
useful in cases where onCompletion
should not, or need
not, be invoked for each completer in a computation.public void complete(T rawResult)
onCompletion(CountedCompleter)
, marks this task as
complete and further triggers tryComplete()
on this
task's completer, if one exists. The given rawResult is
used as an argument to setRawResult(T)
before invoking
onCompletion(CountedCompleter)
or marking this task
as complete; its value is meaningful only for classes
overriding setRawResult
. This method does not modify
the pending count.
This method may be useful when forcing completion as soon as
any one (versus all) of several subtask results are obtained.
However, in the common (and recommended) case in which setRawResult
is not overridden, this effect can be obtained
more simply using quietlyCompleteRoot();
.
complete
in class ForkJoinTask<T>
rawResult
- the raw resultpublic final CountedCompleter<?> firstComplete()
null
. This method is designed to be used with nextComplete()
in completion traversal loops.null
public final CountedCompleter<?> nextComplete()
ForkJoinTask.quietlyComplete()
and returns null
. Or, if
the completer's pending count is non-zero, decrements that
pending count and returns null
. Otherwise, returns the
completer. This method can be used as part of a completion
traversal loop for homogeneous task hierarchies:
for (CountedCompleter<?> c = firstComplete();
c != null;
c = c.nextComplete()) {
// ... process c ...
}
null
if nonepublic final void quietlyCompleteRoot()
getRoot().quietlyComplete()
.public final void helpComplete(int maxTasks)
maxTasks
- the maximum number of tasks to process. If
less than or equal to zero, then no tasks are
processed.protected final boolean exec()
exec
in class ForkJoinTask<T>
true
if this task is known to have completed normallypublic T getRawResult()
null
, which is appropriate for Void
actions, but in other cases should be overridden, almost
always to return a field or function of a field that
holds the result upon completion.getRawResult
in class ForkJoinTask<T>
protected void setRawResult(T t)
setRawResult
in class ForkJoinTask<T>
t
- the value Submit a bug or feature
For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
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