/* * 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 java.util.concurrent; import java.io.ObjectStreamField; import java.util.Random; import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicLong; /** * A random number generator isolated to the current thread. Like the * global {@link java.util.Random} generator used by the {@link * java.lang.Math} class, a {@code ThreadLocalRandom} is initialized * with an internally generated seed that may not otherwise be * modified. When applicable, use of {@code ThreadLocalRandom} rather * than shared {@code Random} objects in concurrent programs will * typically encounter much less overhead and contention. Use of * {@code ThreadLocalRandom} is particularly appropriate when multiple * tasks (for example, each a {@link ForkJoinTask}) use random numbers * in parallel in thread pools. * *

Usages of this class should typically be of the form: * {@code ThreadLocalRandom.current().nextX(...)} (where * {@code X} is {@code Int}, {@code Long}, etc). * When all usages are of this form, it is never possible to * accidently share a {@code ThreadLocalRandom} across multiple threads. * *

This class also provides additional commonly used bounded random * generation methods. * * @since 1.7 * @author Doug Lea */ public class ThreadLocalRandom extends Random { /* * This class implements the java.util.Random API (and subclasses * Random) using a single static instance that accesses random * number state held in class Thread (primarily, field * threadLocalRandomSeed). In doing so, it also provides a home * for managing package-private utilities that rely on exactly the * same state as needed to maintain the ThreadLocalRandom * instances. We leverage the need for an initialization flag * field to also use it as a "probe" -- a self-adjusting thread * hash used for contention avoidance, as well as a secondary * simpler (xorShift) random seed that is conservatively used to * avoid otherwise surprising users by hijacking the * ThreadLocalRandom sequence. The dual use is a marriage of * convenience, but is a simple and efficient way of reducing * application-level overhead and footprint of most concurrent * programs. * * Because this class is in a different package than class Thread, * field access methods must use Unsafe to bypass access control * rules. The base functionality of Random methods is * conveniently isolated in method next(bits), that just reads and * writes the Thread field rather than its own field. However, to * conform to the requirements of the Random constructor, during * construction, the common static ThreadLocalRandom must maintain * initialization and value fields, mainly for the sake of * disabling user calls to setSeed while still allowing a call * from constructor. For serialization compatibility, these * fields are left with the same declarations as used in the * previous ThreadLocal-based version of this class, that used * them differently. Note that serialization is completely * unnecessary because there is only a static singleton. But these * mechanics still ensure compatibility across versions. * * Per-instance initialization is similar to that in the no-arg * Random constructor, but we avoid correlation among not only * initial seeds of those created in different threads, but also * those created using class Random itself; while at the same time * not changing any statistical properties. So we use the same * underlying multiplicative sequence, but start the sequence far * away from the base version, and then merge (xor) current time * and per-thread probe bits to generate initial values. * * The nextLocalGaussian ThreadLocal supports the very rarely used * nextGaussian method by providing a holder for the second of a * pair of them. As is true for the base class version of this * method, this time/space tradeoff is probably never worthwhile, * but we provide identical statistical properties. */ // same constants as Random, but must be redeclared because private private static final long multiplier = 0x5DEECE66DL; private static final long addend = 0xBL; private static final long mask = (1L << 48) - 1; private static final int PROBE_INCREMENT = 0x61c88647; /** Generates the basis for per-thread initial seed values */ private static final AtomicLong seedGenerator = new AtomicLong(1269533684904616924L); /** Generates per-thread initialization/probe field */ private static final AtomicInteger probeGenerator = new AtomicInteger(0xe80f8647); /** Rarely-used holder for the second of a pair of Gaussians */ private static final ThreadLocal nextLocalGaussian = new ThreadLocal(); /** * Field used only during singleton initialization. * True when constructor completes. */ boolean initialized; /** Constructor used only for static singleton */ private ThreadLocalRandom() { initialized = true; // false during super() call } /** The common ThreadLocalRandom */ static final ThreadLocalRandom instance = new ThreadLocalRandom(); /** * Initialize Thread fields for the current thread. Called only * when Thread.threadLocalRandomProbe is zero, indicating that a * thread local seed value needs to be generated. Note that even * though the initialization is purely thread-local, we need to * rely on (static) atomic generators to initialize the values. */ static final void localInit() { int p = probeGenerator.getAndAdd(PROBE_INCREMENT); int probe = (p == 0) ? 1 : p; // skip 0 long current, next; do { // same sequence as j.u.Random but different initial value current = seedGenerator.get(); next = current * 181783497276652981L; } while (!seedGenerator.compareAndSet(current, next)); long r = next ^ ((long)probe << 32) ^ System.nanoTime(); Thread t = Thread.currentThread(); UNSAFE.putLong(t, SEED, r); UNSAFE.putInt(t, PROBE, probe); } /** * Returns the current thread's {@code ThreadLocalRandom}. * * @return the current thread's {@code ThreadLocalRandom} */ public static ThreadLocalRandom current() { if (UNSAFE.getInt(Thread.currentThread(), PROBE) == 0) localInit(); return instance; } /** * Throws {@code UnsupportedOperationException}. Setting seeds in * this generator is not supported. * * @throws UnsupportedOperationException always */ public void setSeed(long seed) { if (initialized) // allow call from super() constructor throw new UnsupportedOperationException(); } protected int next(int bits) { Thread t; long r; // read and update per-thread seed UNSAFE.putLong (t = Thread.currentThread(), SEED, r = (UNSAFE.getLong(t, SEED) * multiplier + addend) & mask); return (int) (r >>> (48-bits)); } /** * Returns a pseudorandom, uniformly distributed value between the * given least value (inclusive) and bound (exclusive). * * @param least the least value returned * @param bound the upper bound (exclusive) * @throws IllegalArgumentException if least greater than or equal * to bound * @return the next value */ public int nextInt(int least, int bound) { if (least >= bound) throw new IllegalArgumentException(); return nextInt(bound - least) + least; } /** * Returns a pseudorandom, uniformly distributed value * between 0 (inclusive) and the specified value (exclusive). * * @param n the bound on the random number to be returned. Must be * positive. * @return the next value * @throws IllegalArgumentException if n is not positive */ public long nextLong(long n) { if (n <= 0) throw new IllegalArgumentException("n must be positive"); // Divide n by two until small enough for nextInt. On each // iteration (at most 31 of them but usually much less), // randomly choose both whether to include high bit in result // (offset) and whether to continue with the lower vs upper // half (which makes a difference only if odd). long offset = 0; while (n >= Integer.MAX_VALUE) { int bits = next(2); long half = n >>> 1; long nextn = ((bits & 2) == 0) ? half : n - half; if ((bits & 1) == 0) offset += n - nextn; n = nextn; } return offset + nextInt((int) n); } /** * Returns a pseudorandom, uniformly distributed value between the * given least value (inclusive) and bound (exclusive). * * @param least the least value returned * @param bound the upper bound (exclusive) * @return the next value * @throws IllegalArgumentException if least greater than or equal * to bound */ public long nextLong(long least, long bound) { if (least >= bound) throw new IllegalArgumentException(); return nextLong(bound - least) + least; } /** * Returns a pseudorandom, uniformly distributed {@code double} value * between 0 (inclusive) and the specified value (exclusive). * * @param n the bound on the random number to be returned. Must be * positive. * @return the next value * @throws IllegalArgumentException if n is not positive */ public double nextDouble(double n) { if (n <= 0) throw new IllegalArgumentException("n must be positive"); return nextDouble() * n; } /** * Returns a pseudorandom, uniformly distributed value between the * given least value (inclusive) and bound (exclusive). * * @param least the least value returned * @param bound the upper bound (exclusive) * @return the next value * @throws IllegalArgumentException if least greater than or equal * to bound */ public double nextDouble(double least, double bound) { if (least >= bound) throw new IllegalArgumentException(); return nextDouble() * (bound - least) + least; } public double nextGaussian() { // Use nextLocalGaussian instead of nextGaussian field Double d = nextLocalGaussian.get(); if (d != null) { nextLocalGaussian.set(null); return d.doubleValue(); } double v1, v2, s; do { v1 = 2 * nextDouble() - 1; // between -1 and 1 v2 = 2 * nextDouble() - 1; // between -1 and 1 s = v1 * v1 + v2 * v2; } while (s >= 1 || s == 0); double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s)/s); nextLocalGaussian.set(new Double(v2 * multiplier)); return v1 * multiplier; } // Within-package utilities /* * Descriptions of the usages of the methods below can be found in * the classes that use them. Briefly, a thread's "probe" value is * a non-zero hash code that (probably) does not collide with * other existing threads with respect to any power of two * collision space. When it does collide, it is pseudo-randomly * adjusted (using a Marsaglia XorShift). The nextSecondarySeed * method is used in the same contexts as ThreadLocalRandom, but * only for transient usages such as random adaptive spin/block * sequences for which a cheap RNG suffices and for which it could * in principle disrupt user-visible statistical properties of the * main ThreadLocalRandom if we were to use it. * * Note: Because of package-protection issues, versions of some * these methods also appear in some subpackage classes. */ /** * Returns the probe value for the current thread without forcing * initialization. Note that invoking ThreadLocalRandom.current() * can be used to force initialization on zero return. */ static final int getProbe() { return UNSAFE.getInt(Thread.currentThread(), PROBE); } /** * Pseudo-randomly advances and records the given probe value for the * given thread. */ static final int advanceProbe(int probe) { probe ^= probe << 13; // xorshift probe ^= probe >>> 17; probe ^= probe << 5; UNSAFE.putInt(Thread.currentThread(), PROBE, probe); return probe; } /** * Returns the pseudo-randomly initialized or updated secondary seed. */ static final int nextSecondarySeed() { int r; Thread t = Thread.currentThread(); if ((r = UNSAFE.getInt(t, SECONDARY)) != 0) { r ^= r << 13; // xorshift r ^= r >>> 17; r ^= r << 5; } else { localInit(); if ((r = (int)UNSAFE.getLong(t, SEED)) == 0) r = 1; // avoid zero } UNSAFE.putInt(t, SECONDARY, r); return r; } // Serialization support, maintains original persistent form. private static final long serialVersionUID = -5851777807851030925L; /** * @serialField rnd long * @serialField initialized boolean * @serialField pad0 long * @serialField pad1 long * @serialField pad2 long * @serialField pad3 long * @serialField pad4 long * @serialField pad5 long * @serialField pad6 long * @serialField pad7 long */ private static final ObjectStreamField[] serialPersistentFields = { new ObjectStreamField("rnd", long.class), new ObjectStreamField("initialized", boolean.class), new ObjectStreamField("pad0", long.class), new ObjectStreamField("pad1", long.class), new ObjectStreamField("pad2", long.class), new ObjectStreamField("pad3", long.class), new ObjectStreamField("pad4", long.class), new ObjectStreamField("pad5", long.class), new ObjectStreamField("pad6", long.class), new ObjectStreamField("pad7", long.class) }; /** * Saves the {@code ThreadLocalRandom} to a stream (that is, serializes it). */ private void writeObject(java.io.ObjectOutputStream out) throws java.io.IOException { java.io.ObjectOutputStream.PutField fields = out.putFields(); fields.put("rnd", 0L); fields.put("initialized", true); fields.put("pad0", 0L); fields.put("pad1", 0L); fields.put("pad2", 0L); fields.put("pad3", 0L); fields.put("pad4", 0L); fields.put("pad5", 0L); fields.put("pad6", 0L); fields.put("pad7", 0L); out.writeFields(); } /** * Returns the {@link #current() current} thread's {@code ThreadLocalRandom}. */ private Object readResolve() { return current(); } // Unsafe mechanics private static final sun.misc.Unsafe UNSAFE; private static final long SEED; private static final long PROBE; private static final long SECONDARY; static { try { UNSAFE = sun.misc.Unsafe.getUnsafe(); Class tk = Thread.class; SEED = UNSAFE.objectFieldOffset (tk.getDeclaredField("threadLocalRandomSeed")); PROBE = UNSAFE.objectFieldOffset (tk.getDeclaredField("threadLocalRandomProbe")); SECONDARY = UNSAFE.objectFieldOffset (tk.getDeclaredField("threadLocalRandomSecondarySeed")); } catch (Exception e) { throw new Error(e); } } }