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/*
 * 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/publicdomain/zero/1.0/
 */
package alluxio.concurrent.jsr;

/**
 * A {@link 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 {@link java.nio.channels.CompletionHandler}) except that multiple pending completions
 * may be necessary to trigger the completion action {@link #onCompletion(CountedCompleter)}, not
 * just one. Unless initialized otherwise, the {@linkplain #getPendingCount pending count} starts at
 * zero, but may be (atomically) changed using methods {@link #setPendingCount},
 * {@link #addToPendingCount}, and {@link #compareAndSetPendingCount}. Upon invocation of
 * {@link #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
 * {@link java.util.concurrent.Phaser} and {@link java.util.concurrent.Semaphore 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 {@link #compute}, that should in most cases * (as illustrated below), invoke {@code tryComplete()} once before returning. The class may also * optionally override method {@link #onCompletion(CountedCompleter)} to perform an action upon * normal completion, and method {@link #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 * {@code CountedCompleter}, and will always return {@code null} as a result value. In other * cases, you should override method {@link #getRawResult} to provide a result from * {@code 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 {@link #setRawResult} 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 * {@link #getCompleter} returns {@code 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 * {@link ForkJoinTask#isDone}) is arbitrary; this status changes only upon explicit invocations of * {@link #complete}, {@link ForkJoinTask#cancel}, * {@link ForkJoinTask#completeExceptionally(Throwable)} or upon exceptional completion of method * {@code 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 {@link java.util.concurrent.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 tasks need not block waiting to perform * them. * *

* For example, here is an initial version of a utility method 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 their parent (because no * result combination is performed, the default no-op implementation of method {@code onCompletion} * is not overridden). The utility method sets up the root task and invokes it (here, implicitly * using the {@link ForkJoinPool#commonPool()}). It is straightforward and reliable (but not * optimal) to always set the pending count to the number of child tasks and call {@code * tryComplete()} immediately before returning. * *

 *  {@code
 * public static  void forEach(E[] array, Consumer action) {
 *   class Task extends CountedCompleter {
 *     final int lo, hi;
 *     Task(Task parent, int lo, int hi) {
 *       super(parent); this.lo = lo; this.hi = hi;
 *     }
 *
 *     public void compute() {
 *       if (hi - lo >= 2) {
 *         int mid = (lo + hi) >>> 1;
 *         // must set pending count before fork
 *         setPendingCount(2);
 *         new Task(this, mid, hi).fork(); // right child
 *         new Task(this, lo, mid).fork(); // left child
 *       }
 *       else if (hi > lo)
 *         action.accept(array[lo]);
 *       tryComplete();
 *     }
 *   }
 *   new Task(null, 0, array.length).invoke();
 * }}
 * 
* * 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, when the last action in a task is to fork or invoke a * subtask (a "tail call"), the call to {@code * tryComplete()} can be optimized away, at the cost of making the pending count look "off by one". * *
 *  {@code
 *   public void compute() {
 *     if (hi - lo >= 2) {
 *       int mid = (lo + hi) >>> 1;
 *       setPendingCount(1); // looks off by one, but correct!
 *       new Task(this, mid, hi).fork(); // right child
 *       new Task(this, lo, mid).compute(); // direct invoke
 *     } else {
 *       if (hi > lo)
 *         action.accept(array[lo]);
 *       tryComplete();
 *     }
 *   }}
 * 
* * As a further optimization, notice that the left task need not even exist. Instead of creating a * new one, we can continue using the original task, and add a pending count for each fork. * Additionally, because no task in this tree implements an {@link #onCompletion(CountedCompleter)} * method, {@code tryComplete} can be replaced with {@link #propagateCompletion}. * *
 *  {@code
 *   public void compute() {
 *     int n = hi - lo;
 *     for (; n >= 2; n /= 2) {
 *       addToPendingCount(1);
 *       new Task(this, lo + n/2, lo + n).fork();
 *     }
 *     if (n > 0)
 *       action.accept(array[lo]);
 *     propagateCompletion();
 *   }}
 * 
* * When pending counts can be precomputed, they can be established in the constructor: * *
 *  {@code
 * public static  void forEach(E[] array, Consumer action) {
 *   class Task extends CountedCompleter {
 *     final int lo, hi;
 *     Task(Task parent, int lo, int hi) {
 *       super(parent, 31 - Integer.numberOfLeadingZeros(hi - lo));
 *       this.lo = lo; this.hi = hi;
 *     }
 *
 *     public void compute() {
 *       for (int n = hi - lo; n >= 2; n /= 2)
 *         new Task(this, lo + n/2, lo + n).fork();
 *       action.accept(array[lo]);
 *       propagateCompletion();
 *     }
 *   }
 *   if (array.length > 0)
 *     new Task(null, 0, array.length).invoke();
 * }}
 * 
* * Additional optimizations of such classes might entail 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 * {@link java.util.concurrent.atomic.AtomicReference AtomicReference} as soon as one is found. The * others can poll the result to avoid unnecessary work. (You could additionally {@linkplain #cancel * 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): * *

 *  {@code
 * class Searcher extends CountedCompleter {
 *   final E[] array; final AtomicReference result; final int lo, hi;
 *   Searcher(CountedCompleter p, E[] array, AtomicReference 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 search(E[] array) {
 *       return new Searcher(null, array, new AtomicReference(), 0, array.length).invoke();
 *   }
 * }}
 * 
* * In this example, as well as others in which tasks have no other effects except to * {@code compareAndSet} a common result, the trailing unconditional invocation of * {@code tryComplete} could be made conditional ({@code 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 {@link #onCompletion(CountedCompleter)}. As * illustrated in the following class (that performs a simplified form of map-reduce where mappings * and reductions are all of type {@code 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 {@code 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. * *

 *  {@code
 * class MyMapper { E apply(E v) {  ...  } }
 * class MyReducer { E apply(E x, E y) {  ...  } }
 * class MapReducer extends CountedCompleter {
 *   final E[] array; final MyMapper mapper;
 *   final MyReducer reducer; final int lo, hi;
 *   MapReducer sibling;
 *   E result;
 *   MapReducer(CountedCompleter p, E[] array, MyMapper mapper,
 *              MyReducer 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 left = new MapReducer(this, array, mapper, reducer, lo, mid);
 *       MapReducer 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 child = (MapReducer)caller;
 *       MapReducer 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 mapReduce(E[] array, MyMapper mapper, MyReducer reducer) {
 *     return new MapReducer(null, array, mapper, reducer,
 *                              0, array.length).invoke();
 *   }
 * }}
 * 
* * Here, method {@code 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 {@code * tryComplete}, or (2) by any of its subtasks when they complete and decrement the pending count to * zero. The {@code caller} argument distinguishes cases. Most often, when the caller is * {@code 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 {@code 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 {@code onCompletion} to process completions is * inapplicable or inconvenient, you can use methods {@link #firstComplete} and * {@link #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: * *

 * {
 *   @code
 *   class MapReducer extends CountedCompleter { // version 2
 *     final E[] array;
 *     final MyMapper mapper;
 *     final MyReducer reducer;
 *     final int lo, hi;
 *     MapReducer forks, next; // record subtask forks in list
 *     E result;
 * 
 *     MapReducer(CountedCompleter p, E[] array, MyMapper mapper, MyReducer reducer,
 *         int lo, int hi, MapReducer 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 mapReduce(E[] array, MyMapper mapper, MyReducer reducer) {
 *       return new MapReducer(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: * *

 *  {@code
 * 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();}
 * 
* * @since 1.8 * @author Doug Lea */ public abstract class CountedCompleter extends ForkJoinTask { // CVS rev. 1.64 private static final long serialVersionUID = 5232453752276485070L; // Unsafe mechanics private static final sun.misc.Unsafe U = UnsafeAccess.unsafe; private static final long PENDING; static { try { PENDING = U.objectFieldOffset(CountedCompleter.class.getDeclaredField("pending")); } catch (Exception e) { throw new ExceptionInInitializerError(e); } } /** This task's completer, or null if none */ final CountedCompleter completer; /** The number of pending tasks until completion */ volatile int pending; /** * Creates a new CountedCompleter with the given completer and initial pending count. * * @param completer this task's completer, or {@code null} if none * @param initialPendingCount the initial pending count */ protected CountedCompleter(CountedCompleter completer, int initialPendingCount) { this.completer = completer; this.pending = initialPendingCount; } /** * Creates a new CountedCompleter with the given completer and an initial pending count of zero. * * @param completer this task's completer, or {@code null} if none */ protected CountedCompleter(CountedCompleter completer) { this.completer = completer; } /** * Creates a new CountedCompleter with no completer and an initial pending count of zero. */ protected CountedCompleter() { this.completer = null; } /** * The main computation performed by this task. */ public abstract void compute(); /** * Performs an action when method {@link #tryComplete} is invoked and the pending count is zero, * or when the unconditional method {@link #complete} 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 {@code * this}, then it is typically a subtask that may contain results (and/or links to other results) * to combine. * * @param caller the task invoking this method (which may be this task itself) */ public void onCompletion(CountedCompleter caller) {} /** * Performs an action when method {@link #completeExceptionally(Throwable)} is invoked or method * {@link #compute} throws an exception, and this task has not already otherwise completed * normally. On entry to this method, this task {@link ForkJoinTask#isCompletedAbnormally}. The * return value of this method controls further propagation: If {@code 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 {@code true}. * * @param ex the exception * @param caller the task invoking this method (which may be this task itself) * @return {@code true} if this exception should be propagated to this task's completer, if one * exists */ public boolean onExceptionalCompletion(Throwable ex, CountedCompleter caller) { return true; } /** * Returns the completer established in this task's constructor, or {@code null} if none. * * @return the completer */ public final CountedCompleter getCompleter() { return completer; } /** * Returns the current pending count. * * @return the current pending count */ public final int getPendingCount() { return pending; } /** * Sets the pending count to the given value. * * @param count the count */ public final void setPendingCount(int count) { pending = count; } /** * Adds (atomically) the given value to the pending count. * * @param delta the value to add */ public final void addToPendingCount(int delta) { int c; do { } while (!U.compareAndSwapInt(this, PENDING, c = pending, c + delta)); } /** * Sets (atomically) the pending count to the given count only if it currently holds the given * expected value. * * @param expected the expected value * @param count the new value * @return {@code true} if successful */ public final boolean compareAndSetPendingCount(int expected, int count) { return U.compareAndSwapInt(this, PENDING, expected, count); } /** * If the pending count is nonzero, (atomically) decrements it. * * @return the initial (undecremented) pending count holding on entry to this method */ public final int decrementPendingCountUnlessZero() { int c; do { } while ((c = pending) != 0 && !U.compareAndSwapInt(this, PENDING, c, c - 1)); return c; } /** * Returns the root of the current computation; i.e., this task if it has no completer, else its * completer's root. * * @return the root of the current computation */ public final CountedCompleter getRoot() { CountedCompleter a = this, p; while ((p = a.completer) != null) a = p; return a; } /** * If the pending count is nonzero, decrements the count; otherwise invokes * {@link #onCompletion(CountedCompleter)} and then similarly tries to complete this task's * completer, if one exists, else marks this task as complete. */ public final void tryComplete() { CountedCompleter a = this, s = a; for (int c;;) { if ((c = a.pending) == 0) { a.onCompletion(s); if ((a = (s = a).completer) == null) { s.quietlyComplete(); return; } } else if (U.compareAndSwapInt(a, PENDING, c, c - 1)) return; } } /** * Equivalent to {@link #tryComplete} but does not invoke {@link #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 {@code onCompletion} should not, or need * not, be invoked for each completer in a computation. */ public final void propagateCompletion() { CountedCompleter a = this, s; for (int c;;) { if ((c = a.pending) == 0) { if ((a = (s = a).completer) == null) { s.quietlyComplete(); return; } } else if (U.compareAndSwapInt(a, PENDING, c, c - 1)) return; } } /** * Regardless of pending count, invokes {@link #onCompletion(CountedCompleter)}, marks this task * as complete and further triggers {@link #tryComplete} on this task's completer, if one exists. * The given rawResult is used as an argument to {@link #setRawResult} before invoking * {@link #onCompletion(CountedCompleter)} or marking this task as complete; its value is * meaningful only for classes overriding {@code 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 {@code * setRawResult} is not overridden, this effect can be obtained more simply using * {@link #quietlyCompleteRoot()}. * * @param rawResult the raw result */ public void complete(T rawResult) { CountedCompleter p; setRawResult(rawResult); onCompletion(this); quietlyComplete(); if ((p = completer) != null) p.tryComplete(); } /** * If this task's pending count is zero, returns this task; otherwise decrements its pending count * and returns {@code * null}. This method is designed to be used with {@link #nextComplete} in completion traversal * loops. * * @return this task, if pending count was zero, else {@code null} */ public final CountedCompleter firstComplete() { for (int c;;) { if ((c = pending) == 0) return this; else if (U.compareAndSwapInt(this, PENDING, c, c - 1)) return null; } } /** * If this task does not have a completer, invokes {@link ForkJoinTask#quietlyComplete} and * returns {@code null}. Or, if the completer's pending count is non-zero, decrements that pending * count and returns {@code null}. Otherwise, returns the completer. This method can be used as * part of a completion traversal loop for homogeneous task hierarchies: * *

   *  {@code
   * for (CountedCompleter c = firstComplete();
   *      c != null;
   *      c = c.nextComplete()) {
   *   // ... process c ...
   * }}
   * 
* * @return the completer, or {@code null} if none */ public final CountedCompleter nextComplete() { CountedCompleter p; if ((p = completer) != null) return p.firstComplete(); else { quietlyComplete(); return null; } } /** * Equivalent to {@code getRoot().quietlyComplete()}. */ public final void quietlyCompleteRoot() { for (CountedCompleter a = this, p;;) { if ((p = a.completer) == null) { a.quietlyComplete(); return; } a = p; } } /** * 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. * * @param maxTasks the maximum number of tasks to process. If less than or equal to zero, then no * tasks are processed. */ public final void helpComplete(int maxTasks) { Thread t; ForkJoinWorkerThread wt; if (maxTasks > 0 && status >= 0) { if ((t = Thread.currentThread()) instanceof ForkJoinWorkerThread) (wt = (ForkJoinWorkerThread) t).pool.helpComplete(wt.workQueue, this, maxTasks); else ForkJoinPool.common.externalHelpComplete(this, maxTasks); } } /** * Supports ForkJoinTask exception propagation. */ void internalPropagateException(Throwable ex) { CountedCompleter a = this, s = a; while (a.onExceptionalCompletion(ex, s) && (a = (s = a).completer) != null && a.status >= 0 && a.recordExceptionalCompletion(ex) == EXCEPTIONAL); } /** * Implements execution conventions for CountedCompleters. */ protected final boolean exec() { compute(); return false; } /** * Returns the result of the computation. By default, returns {@code null}, which is appropriate * for {@code 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. * * @return the result of the computation */ public T getRawResult() { return null; } /** * A method that result-bearing CountedCompleters may optionally use to help maintain result data. * By default, does nothing. Overrides are not recommended. However, if this method is overridden * to update existing objects or fields, then it must in general be defined to be thread-safe. */ protected void setRawResult(T t) {} }




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