atomics: Java Atomics and VarHandle companion code

AtomicLong/LongAdder/VarHandle counters benchmarked against the synchronized
and ReentrantLock baselines from the locks module, a deterministic ABA race
against a hand-rolled Treiber stack plus the AtomicStampedReference fix, and
a VarHandle access-modes demo (plain/opaque/acquire-release/volatile).

Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01FhzLY5p6okFva3qsnsRyvM
This commit is contained in:
2026-09-30 06:23:03 +00:00
co-authored by Claude Sonnet 5
parent 32b8067ecf
commit ff183da163
21 changed files with 845 additions and 0 deletions
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@@ -7,6 +7,7 @@ article; each module's own README has that article's version table, quickstart,
|---|---|
| [`jmm`](jmm/) | The Java Memory Model Explained: volatile, happens-before, and Why Your Double-Checked Lock Failed |
| [`locks`](locks/) | synchronized vs ReentrantLock vs StampedLock: Benchmarks and a Decision Table |
| [`atomics`](atomics/) | Java Atomics and VarHandle: CAS, LongAdder, and When Atomics Beat Locks |
## License
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# atomics
Companion code for the ankurm.com post *"Java Atomics and VarHandle: CAS, LongAdder, and When
Atomics Beat Locks."* Third module in `java-core-examples`, the Java-core / concurrency series.
## Versions this was built and tested against
| Component | Version | Notes |
|---|---|---|
| JDK | 25.0.4.1+1 (Temurin, LTS) | |
| JMH | 1.37 | |
| JUnit Jupiter | 5.11.0 | Correctness tests only. |
| Maven | 3.9.11 | |
| Hardware | 2 vCPU x86-64 VM | Same sandbox as `jmm` and `locks` - see the honesty note below. |
## Quickstart
```bash
export JAVA_HOME=/path/to/jdk-25
mvn package
java -jar target/benchmarks.jar IncrementBenchmark -t 8
java -cp target/classes com.ankurm.atomics.AbaProblemDemo
java -cp target/classes com.ankurm.atomics.VarHandleAccessModesDemo
```
`scripts/run-all.sh` regenerates every file in `output/`. `scripts/run.sh <BenchmarkClass> [args]`
runs one benchmark ad hoc.
## What's in here
| File | What it shows |
|---|---|
| `src/main/java/.../Counter.java` | The interface all five counters implement. |
| `.../SynchronizedCounter.java`, `.../ReentrantLockCounter.java` | The two lock-based baselines from the `locks` module, reused here for a direct comparison. |
| `.../AtomicLongCounter.java` | `AtomicLong.incrementAndGet()` - one contended CAS location. |
| `.../LongAdderCounter.java` | `LongAdder` - writes spread across striped cells, `sum()` on read. |
| `.../VarHandleCounter.java` | The same CAS loop `AtomicLong` does internally, written by hand against a plain field via `VarHandle`. |
| `.../TreiberStack.java` | A textbook lock-free stack - and where the ABA problem actually lives. |
| `.../AbaProblemDemo.java` | A real, two-thread, deterministically-forced ABA race against `TreiberStack`, plus the `AtomicStampedReference` fix. |
| `.../VarHandleAccessModesDemo.java` | `VarHandle`'s four access-mode families (plain, opaque, acquire/release, volatile) plus `compareAndSet`. |
| `src/test/java/.../CounterCorrectnessTest.java` | Lost-update sanity checks - does NOT prove throughput, ABA, or ordering claims, see its Javadoc. |
| `output/01` | `IncrementBenchmark` swept across 1, 2, 4, 8, 16, 32, 64 threads. |
| `output/02` | The ABA demo's actual output - a real corruption, then the stamped fix. |
| `output/03` | The VarHandle access-modes demo's output. |
| `output/04` | JUnit correctness run. |
## Reading the numbers honestly (2-vCPU sandbox)
**`LongAdder` wins under any real contention** (`output/01`): from 2 threads onward it holds
~160,000-177,000 ops/ms, 3-4x every other counter, exactly matching its design - writes land on
one of several striped cells instead of fighting over one location, so contention on the counter
itself mostly disappears. At 1 thread it's actually the slowest of the five (no contention to
amortize the cell-array bookkeeping against), which is the one case its own Javadoc explicitly
says to expect.
**`AtomicLong` is fastest at 1 thread, then drops hard and plateaus** (`output/01`): ~152,000
ops/ms uncontended, down to ~43,000-58,000 from 2 threads on - every thread past the first is
now genuinely fighting over one CAS location, and on this 2-core box that settles into a stable
but much lower plateau rather than degrading further.
**`VarHandle`'s hand-written CAS loop is consistently behind `AtomicLong`'s under contention** -
roughly 30,000-32,000 ops/ms against `AtomicLong`'s 43,000-58,000 from 2 threads onward, despite
both doing the same fundamental operation (read, compute, `compareAndSet`, retry on failure).
This repository does not have a definitive answer for the exact gap; the likely explanation is
that `AtomicLong.incrementAndGet()` is a JIT/JVM intrinsic HotSpot recognizes and compiles
specially, while the hand-written `getVolatile` + `compareAndSet` loop in `VarHandleCounter`,
while using the same underlying CAS instruction, doesn't get quite the same treatment. Take this
as "hand-rolling the loop yourself costs something measurable here," not as a precise multiplier
to expect elsewhere.
**`synchronized` again lags well behind at 2+ threads** - the same pattern documented in the
`locks` module's README, reproduced here with a completely different set of counters, which is
some evidence it's a property of this sandbox's monitor-contention path rather than a fluke of
one benchmark file.
## License
MIT - see the [repo-wide LICENSE](../LICENSE).
@@ -0,0 +1,59 @@
$ java -jar target/benchmarks.jar IncrementBenchmark -t <N> -rf text
(one JVM invocation per thread count; -t sets the JMH thread count for that run)
=== threads=1 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 152210.819 ± 13994.910 ops/ms
IncrementBenchmark.longAdder thrpt 5 85474.018 ± 4259.652 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 52749.683 ± 9224.450 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 41962.389 ± 5710.162 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 92813.051 ± 18134.407 ops/ms
=== threads=2 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 55290.174 ± 5756.818 ops/ms
IncrementBenchmark.longAdder thrpt 5 175504.101 ± 19226.430 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 12132.831 ± 3380.323 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 7781.210 ± 5925.389 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 31955.213 ± 7578.028 ops/ms
=== threads=4 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 58192.557 ± 1874.113 ops/ms
IncrementBenchmark.longAdder thrpt 5 176176.145 ± 10500.741 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 49474.377 ± 6131.270 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 8198.887 ± 18413.808 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 32807.244 ± 14075.306 ops/ms
=== threads=8 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 58036.390 ± 10538.772 ops/ms
IncrementBenchmark.longAdder thrpt 5 176823.593 ± 19520.176 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 49528.714 ± 9256.971 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 8933.358 ± 7612.678 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 31671.036 ± 9740.912 ops/ms
=== threads=16 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 55587.800 ± 3218.928 ops/ms
IncrementBenchmark.longAdder thrpt 5 171534.976 ± 37921.512 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 48603.146 ± 6585.079 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 8839.293 ± 3658.010 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 31809.007 ± 7320.695 ops/ms
=== threads=32 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 56397.645 ± 6961.852 ops/ms
IncrementBenchmark.longAdder thrpt 5 162883.357 ± 14305.826 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 43556.152 ± 10557.939 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 9159.280 ± 8780.101 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 32833.760 ± 2661.430 ops/ms
=== threads=64 ===
Benchmark Mode Cnt Score Error Units
IncrementBenchmark.atomicLong thrpt 5 43448.887 ± 5607.031 ops/ms
IncrementBenchmark.longAdder thrpt 5 166468.689 ± 22263.886 ops/ms
IncrementBenchmark.reentrantLock thrpt 5 44277.427 ± 6928.188 ops/ms
IncrementBenchmark.synchronized_ thrpt 5 10784.283 ± 3760.196 ops/ms
IncrementBenchmark.varHandleCas thrpt 5 29751.529 ± 1620.459 ops/ms
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$ java -cp target/classes com.ankurm.atomics.AbaProblemDemo
=== Part 1: a real ABA race against TreiberStack ===
Initial stack (top first): [A, B, C]
Main thread popped, legitimately: "A", then "B"
Stack after those two real pops: [C]
Main thread pushed the SAME "A" node object back: [A, C]
Thread 1's stale CAS result: CAS succeeded, pop() would have returned "A"
Stack contents after Thread 1's stale CAS: [B, C]
"B" is back in the stack even though the main thread already popped it and
nobody ever pushed it again - Thread 1's CAS matched on reference identity
alone (top was "A" both times it looked) and blindly installed a newTop
("B") that was computed from a read that happened before two pops and a
push it never saw. "A" was also just handed out twice: once to the main
thread's first pop(), once to Thread 1's stale one.
=== Part 2: AtomicStampedReference detects the same shape of race ===
Reader captured: ref="A", stamp=0
After a concurrent A -> B -> A round trip: ref="A", stamp=2 (reference is back to "A", but the stamp moved on)
A plain AtomicReference.compareAndSet("A", "Z") would see reference == "A" and succeed: true
AtomicStampedReference.compareAndSet("A", "Z", 0, 1) actually succeeded: false (false is correct - the stamp proves a change happened in between, even though the reference alone looks unchanged)
@@ -0,0 +1,7 @@
$ java -cp target/classes com.ankurm.atomics.VarHandleAccessModesDemo
plain set(1) / get() -> 1
setOpaque(2) / getOpaque() -> 2
setRelease(3) / getAcquire() -> 3
setVolatile(4) / getVolatile() -> 4
compareAndSet(4, 5) succeeded -> true, second compareAndSet(4, 6) succeeded -> false (expected false - value is 5, not 4, by the second call)
@@ -0,0 +1,4 @@
-------------------------------------------------------------------------------
Test set: com.ankurm.atomics.CounterCorrectnessTest
-------------------------------------------------------------------------------
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.221 s -- in com.ankurm.atomics.CounterCorrectnessTest
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<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>com.ankurm</groupId>
<artifactId>java-core-examples</artifactId>
<version>1.0</version>
</parent>
<artifactId>atomics</artifactId>
<name>atomics</name>
<description>Java atomics and VarHandle: a counter written five ways, JMH throughput 1-64 threads, the ABA problem reproduced and fixed, and VarHandle's memory-ordering access modes.</description>
<properties>
<jmh.version>1.37</jmh.version>
</properties>
<dependencies>
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-core</artifactId>
<version>${jmh.version}</version>
</dependency>
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-generator-annprocess</artifactId>
<version>${jmh.version}</version>
</dependency>
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter</artifactId>
<version>5.11.0</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<finalName>benchmarks</finalName>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.13.0</version>
<configuration>
<release>25</release>
<annotationProcessorPaths>
<path>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-generator-annprocess</artifactId>
<version>${jmh.version}</version>
</path>
</annotationProcessorPaths>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>3.2.5</version>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.5.1</version>
<executions>
<execution>
<phase>package</phase>
<goals><goal>shade</goal></goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>org.openjdk.jmh.Main</mainClass>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
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#!/usr/bin/env bash
# Regenerates every file in output/ using the same commands used to produce the ones
# committed here. Requires JDK 25 on PATH/JAVA_HOME.
set -euo pipefail
cd "$(dirname "$0")/.."
mvn -q package
echo "--- 01: IncrementBenchmark thread-count sweep (takes a few minutes) ---"
{
echo '$ java -jar target/benchmarks.jar IncrementBenchmark -t <N> -rf text'
for t in 1 2 4 8 16 32 64; do
echo "=== threads=$t ==="
java -jar target/benchmarks.jar "IncrementBenchmark" -t "$t" -rf text -rff /tmp/jmh-atomics-$t.txt
cat "/tmp/jmh-atomics-$t.txt"
echo ""
done
} > output/01-increment-benchmark-sweep.txt
echo "--- 02: ABA problem demo ---"
{
echo '$ java -cp target/classes com.ankurm.atomics.AbaProblemDemo'
echo ""
} > output/02-aba-problem-demo.txt
java -cp target/classes com.ankurm.atomics.AbaProblemDemo >> output/02-aba-problem-demo.txt 2>&1
echo "--- 03: VarHandle access modes demo ---"
{
echo '$ java -cp target/classes com.ankurm.atomics.VarHandleAccessModesDemo'
echo ""
} > output/03-varhandle-access-modes.txt
java -cp target/classes com.ankurm.atomics.VarHandleAccessModesDemo >> output/03-varhandle-access-modes.txt 2>&1
echo "--- 04: correctness tests ---"
mvn -q test
cp target/surefire-reports/com.ankurm.atomics.CounterCorrectnessTest.txt output/04-counter-correctness.txt
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#!/usr/bin/env bash
# Quick ad hoc JMH run against one benchmark class. Example:
# ./scripts/run.sh IncrementBenchmark -t 8
set -euo pipefail
cd "$(dirname "$0")/.."
BENCH="${1:?Usage: run.sh <BenchmarkClassName> [extra jmh args]}"
shift || true
JAR=target/benchmarks.jar
[ -f "$JAR" ] || { echo "Run 'mvn package' first."; exit 1; }
java -jar "$JAR" "$BENCH" "$@"
@@ -0,0 +1,104 @@
package com.ankurm.atomics;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicStampedReference;
/**
* Two parts. Part 1 forces a real ABA race against {@link TreiberStack} with
* two threads and a latch, so the corruption below is an actual observed
* race outcome, not a described one. Part 2 shows the minimal mechanism
* {@link AtomicStampedReference} uses to detect - not prevent, detect -
* exactly that race.
*/
public final class AbaProblemDemo {
public static void main(String[] args) throws InterruptedException {
part1TreiberStackAba();
System.out.println();
part2StampedReferenceDetectsIt();
}
private static void part1TreiberStackAba() throws InterruptedException {
System.out.println("=== Part 1: a real ABA race against TreiberStack ===");
TreiberStack<String> stack = new TreiberStack<>();
stack.push("C");
stack.push("B");
stack.push("A");
System.out.println("Initial stack (top first): " + stack.contentsSnapshot());
CountDownLatch t1HasRead = new CountDownLatch(1);
CountDownLatch mainHasInterfered = new CountDownLatch(1);
String[] t1Result = new String[1];
Thread t1 = new Thread(() -> {
// Read oldTop=A, newTop=B, then pause right before the CAS - exactly
// where a real thread could be preempted for an arbitrarily long time.
TreiberStack.Node<String>[] read = stack.readForPopForDemo();
TreiberStack.Node<String> oldTop = read[0];
TreiberStack.Node<String> newTop = read[1];
t1HasRead.countDown();
try {
mainHasInterfered.await();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
return;
}
boolean success = stack.finishPopForDemo(oldTop, newTop);
t1Result[0] = success ? ("CAS succeeded, pop() would have returned \"" + oldTop.value + "\"")
: "CAS failed (this is what we WANT to see - it did not happen here)";
}, "Thread-1-stale-popper");
t1.start();
t1HasRead.await(); // Thread 1 now holds oldTop=A, newTop=B, has not CAS'd yet.
// Main thread interferes: legitimately pop A, then B (both real pop() calls),
// then push the SAME "A" node object back - simulating a pooled allocator
// that reuses freed nodes instead of always allocating fresh ones.
TreiberStack.Node<String>[] read = stack.readForPopForDemo();
TreiberStack.Node<String> nodeA = read[0];
String popped1 = stack.pop();
String popped2 = stack.pop();
System.out.println("Main thread popped, legitimately: \"" + popped1 + "\", then \"" + popped2 + "\"");
System.out.println("Stack after those two real pops: " + stack.contentsSnapshot());
stack.pushSameNodeForDemo(nodeA); // same object identity as Thread 1's oldTop
System.out.println("Main thread pushed the SAME \"A\" node object back: " + stack.contentsSnapshot());
mainHasInterfered.countDown();
t1.join();
System.out.println("Thread 1's stale CAS result: " + t1Result[0]);
System.out.println("Stack contents after Thread 1's stale CAS: " + stack.contentsSnapshot());
System.out.println("\"B\" is back in the stack even though the main thread already popped it and");
System.out.println("nobody ever pushed it again - Thread 1's CAS matched on reference identity");
System.out.println("alone (top was \"A\" both times it looked) and blindly installed a newTop");
System.out.println("(\"B\") that was computed from a read that happened before two pops and a");
System.out.println("push it never saw. \"A\" was also just handed out twice: once to the main");
System.out.println("thread's first pop(), once to Thread 1's stale one.");
}
private static void part2StampedReferenceDetectsIt() {
System.out.println("=== Part 2: AtomicStampedReference detects the same shape of race ===");
AtomicStampedReference<String> ref = new AtomicStampedReference<>("A", 0);
int[] stampHolder = new int[1];
String staleRef = ref.get(stampHolder);
int staleStamp = stampHolder[0];
System.out.println("Reader captured: ref=\"" + staleRef + "\", stamp=" + staleStamp);
// Simulate the same A -> B -> A round trip, each transition bumping the stamp -
// exactly what a real concurrent writer would do on every successful update.
ref.set("B", staleStamp + 1);
ref.set("A", staleStamp + 2);
System.out.println("After a concurrent A -> B -> A round trip: ref=\"" + ref.getReference()
+ "\", stamp=" + ref.getStamp() + " (reference is back to \"A\", but the stamp moved on)");
boolean plainWouldSucceed = staleRef.equals(ref.getReference()); // what a plain == / equals CAS would see
boolean stampedSucceeds = ref.compareAndSet(staleRef, "Z", staleStamp, staleStamp + 1);
System.out.println("A plain AtomicReference.compareAndSet(\"A\", \"Z\") would see reference == \"A\" and "
+ "succeed: " + plainWouldSucceed);
System.out.println("AtomicStampedReference.compareAndSet(\"A\", \"Z\", " + staleStamp + ", " + (staleStamp + 1)
+ ") actually succeeded: " + stampedSucceeds + " (false is correct - the stamp proves a change "
+ "happened in between, even though the reference alone looks unchanged)");
}
}
@@ -0,0 +1,23 @@
package com.ankurm.atomics;
import java.util.concurrent.atomic.AtomicLong;
/**
* {@link AtomicLong#incrementAndGet()} - a hardware compare-and-swap loop under
* the hood, retried until it succeeds. No lock, no parking, but every thread
* that loses a CAS race spins and retries against the same single contended
* memory location.
*/
public final class AtomicLongCounter implements Counter {
private final AtomicLong count = new AtomicLong();
@Override
public void increment() {
count.incrementAndGet();
}
@Override
public long get() {
return count.get();
}
}
@@ -0,0 +1,7 @@
package com.ankurm.atomics;
/** The same shared counter, protected five different ways. */
public interface Counter {
void increment();
long get();
}
@@ -0,0 +1,50 @@
package com.ankurm.atomics;
import org.openjdk.jmh.annotations.*;
import java.util.concurrent.TimeUnit;
/**
* All five counters, same write-only workload, run at a fixed thread count
* per JVM invocation via {@code -t N}; {@code scripts/run-all.sh} sweeps 1,
* 2, 4, 8, 16, 32 and 64 threads.
*/
@BenchmarkMode(Mode.Throughput)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@State(Scope.Benchmark)
@Warmup(iterations = 3, time = 1, timeUnit = TimeUnit.SECONDS)
@Measurement(iterations = 5, time = 1, timeUnit = TimeUnit.SECONDS)
@Fork(1)
public class IncrementBenchmark {
private final SynchronizedCounter synchronizedCounter = new SynchronizedCounter();
private final ReentrantLockCounter reentrantLockCounter = new ReentrantLockCounter();
private final AtomicLongCounter atomicLongCounter = new AtomicLongCounter();
private final LongAdderCounter longAdderCounter = new LongAdderCounter();
private final VarHandleCounter varHandleCounter = new VarHandleCounter();
@Benchmark
public void synchronized_() {
synchronizedCounter.increment();
}
@Benchmark
public void reentrantLock() {
reentrantLockCounter.increment();
}
@Benchmark
public void atomicLong() {
atomicLongCounter.increment();
}
@Benchmark
public void longAdder() {
longAdderCounter.increment();
}
@Benchmark
public void varHandleCas() {
varHandleCounter.increment();
}
}
@@ -0,0 +1,26 @@
package com.ankurm.atomics;
import java.util.concurrent.atomic.LongAdder;
/**
* {@link LongAdder} takes the opposite approach to {@link AtomicLongCounter}:
* instead of every thread fighting over one contended CAS location, writes
* are spread across an internal array of per-thread (really, per-probe-hash)
* cells that only get created once contention is actually detected, and
* {@code sum()} adds them all up on read. Writes get cheap; reads get more
* expensive and, crucially, not linearizable with concurrent writes - see
* the README for what that trade-off actually means.
*/
public final class LongAdderCounter implements Counter {
private final LongAdder count = new LongAdder();
@Override
public void increment() {
count.increment();
}
@Override
public long get() {
return count.sum();
}
}
@@ -0,0 +1,29 @@
package com.ankurm.atomics;
import java.util.concurrent.locks.ReentrantLock;
/** The explicit-lock baseline, for comparison against the four lock-free strategies. */
public final class ReentrantLockCounter implements Counter {
private final ReentrantLock lock = new ReentrantLock();
private long count;
@Override
public void increment() {
lock.lock();
try {
count++;
} finally {
lock.unlock();
}
}
@Override
public long get() {
lock.lock();
try {
return count;
} finally {
lock.unlock();
}
}
}
@@ -0,0 +1,16 @@
package com.ankurm.atomics;
/** Baseline: the same lock-based approach benchmarked in the {@code locks} module. */
public final class SynchronizedCounter implements Counter {
private long count;
@Override
public synchronized void increment() {
count++;
}
@Override
public synchronized long get() {
return count;
}
}
@@ -0,0 +1,107 @@
package com.ankurm.atomics;
import java.util.concurrent.atomic.AtomicReference;
/**
* A classic lock-free stack (Treiber, 1986): push and pop both loop on a
* single {@link AtomicReference#compareAndSet} against the top node. This
* textbook implementation is exactly where the textbook ABA problem lives:
* {@code pop()} reads {@code oldTop} and computes {@code newTop} from it,
* and if another thread pops that same node and later pushes the very same
* node object back on - same reference, different {@code next} underneath
* it by then - the CAS below sees the reference it expects and succeeds,
* even though the structure it is about to install ({@code newTop},
* computed from the now-stale read) is no longer correct.
* <p>
* The package-private {@code *ForDemo} methods exist only so
* {@link AbaProblemDemo} can force that exact interleaving deterministically
* - reusing the identical popped {@link Node} object on the way back in,
* which is what a real freelist or pooled-node allocator does and is the
* only way ABA is reproducible on purpose rather than by chance. The public
* {@code push}/{@code pop} API never reuses nodes and is not affected.
*/
public final class TreiberStack<T> {
static final class Node<T> {
final T value;
volatile Node<T> next;
Node(T value, Node<T> next) {
this.value = value;
this.next = next;
}
}
private final AtomicReference<Node<T>> top = new AtomicReference<>();
public void push(T value) {
Node<T> oldTop;
Node<T> newNode = new Node<>(value, null);
do {
oldTop = top.get();
newNode.next = oldTop;
} while (!top.compareAndSet(oldTop, newNode));
}
public T pop() {
Node<T> oldTop;
Node<T> newTop;
do {
oldTop = top.get();
if (oldTop == null) {
return null;
}
newTop = oldTop.next;
} while (!top.compareAndSet(oldTop, newTop));
return oldTop.value;
}
public String contentsSnapshot() {
StringBuilder sb = new StringBuilder("[");
Node<T> n = top.get();
boolean first = true;
int guard = 0;
while (n != null && guard++ < 20) {
if (!first) sb.append(", ");
sb.append(n.value);
first = false;
n = n.next;
}
sb.append("]");
return sb.toString();
}
// --- demo-only access below: never used by push()/pop() above ---
Node<T> topNodeForDemo() {
return top.get();
}
/** Reads oldTop/newTop exactly like pop() does, but stops before the CAS and hands
* both back so the demo can interleave real pop/push calls from another thread
* in between - reproducing the read-side of the race, not simulating it. */
Node<T>[] readForPopForDemo() {
@SuppressWarnings("unchecked")
Node<T>[] result = new Node[2];
result[0] = top.get(); // oldTop
result[1] = result[0] == null ? null : result[0].next; // newTop
return result;
}
/** Completes the CAS a {@link #readForPopForDemo()} call started - this is the
* exact same compareAndSet pop() itself uses, just split in two so the demo can
* inject interference in between. */
boolean finishPopForDemo(Node<T> oldTop, Node<T> newTop) {
return top.compareAndSet(oldTop, newTop);
}
/** Pushes back the SAME node object a previous pop observed, exactly as a pooled
* allocator would - the one operation that makes ABA possible. */
void pushSameNodeForDemo(Node<T> node) {
Node<T> oldTop;
do {
oldTop = top.get();
node.next = oldTop;
} while (!top.compareAndSet(oldTop, node));
}
}
@@ -0,0 +1,69 @@
package com.ankurm.atomics;
import java.lang.invoke.MethodHandles;
import java.lang.invoke.VarHandle;
/**
* {@link VarHandle} exposes four families of access mode on the same field,
* each a different point on the plain-to-volatile ordering spectrum defined
* by {@code VarHandle}'s own class documentation. This demo runs all four
* against one field and prints what each call returns - it does not and
* cannot prove the ordering guarantees themselves on a 2-vCPU single-run
* demo (that would need the kind of large concurrent campaign the jmm
* module ran with jcstress, not a coordination primitive), so treat this
* as "the API surface actually compiles and does what its Javadoc says
* about its own return values," with the ordering claims themselves
* attributed to the Javadoc in the README and the post.
*/
public final class VarHandleAccessModesDemo {
private static final VarHandle FIELD;
static {
try {
FIELD = MethodHandles.lookup()
.findVarHandle(VarHandleAccessModesDemo.class, "value", int.class);
} catch (ReflectiveOperationException e) {
throw new ExceptionInInitializerError(e);
}
}
@SuppressWarnings("unused")
private volatile int value;
public static void main(String[] args) {
VarHandleAccessModesDemo demo = new VarHandleAccessModesDemo();
// Plain: no ordering or visibility guarantee at all - same as a normal field
// read/write. Fastest, and the only mode allowed to be reordered/cached freely.
FIELD.set(demo, 1);
System.out.println("plain set(1) / get() -> " + (int) FIELD.get(demo));
// Opaque: guarantees the write is eventually visible and reads/writes to THIS
// location are not reordered with each other, but gives no happens-before
// relationship with any OTHER variable - "just don't tear or cache forever."
FIELD.setOpaque(demo, 2);
System.out.println("setOpaque(2) / getOpaque() -> " + (int) FIELD.getOpaque(demo));
// Acquire/release: the one-directional half of volatile. setRelease publishes
// everything written before it to a thread that later does a getAcquire on the
// same location - one-way happens-before, cheaper than full volatile on some
// hardware because it doesn't need a full bidirectional fence.
FIELD.setRelease(demo, 3);
System.out.println("setRelease(3) / getAcquire() -> " + (int) FIELD.getAcquire(demo));
// Volatile: full happens-before both ways, same guarantee as a `volatile` field
// or synchronized access to it - what every Counter in this module's benchmark
// that isn't plain/opaque/acquire-release actually relies on.
FIELD.setVolatile(demo, 4);
System.out.println("setVolatile(4) / getVolatile() -> " + (int) FIELD.getVolatile(demo));
// And the compare-and-swap family every lock-free Counter in this module is
// actually built on:
boolean casSucceeded = FIELD.compareAndSet(demo, 4, 5);
boolean casShouldFail = FIELD.compareAndSet(demo, 4, 6); // 4 is stale now, expect false
System.out.println("compareAndSet(4, 5) succeeded -> " + casSucceeded
+ ", second compareAndSet(4, 6) succeeded -> " + casShouldFail
+ " (expected false - value is 5, not 4, by the second call)");
}
}
@@ -0,0 +1,41 @@
package com.ankurm.atomics;
import java.lang.invoke.MethodHandles;
import java.lang.invoke.VarHandle;
/**
* The same compare-and-swap loop {@link AtomicLongCounter} does internally,
* written out by hand against a plain {@code long} field via {@link VarHandle}.
* This is what {@code AtomicLong} is built on, one layer down - no boxing,
* no extra object, just a field and a handle that knows how to fence and
* CAS against it.
*/
public final class VarHandleCounter implements Counter {
private static final VarHandle COUNT;
static {
try {
COUNT = MethodHandles.lookup()
.findVarHandle(VarHandleCounter.class, "count", long.class);
} catch (ReflectiveOperationException e) {
throw new ExceptionInInitializerError(e);
}
}
@SuppressWarnings("unused")
private volatile long count;
@Override
public void increment() {
long current;
do {
current = (long) COUNT.getVolatile(this);
} while (!COUNT.compareAndSet(this, current, current + 1));
}
@Override
public long get() {
return (long) COUNT.getVolatile(this);
}
}
@@ -0,0 +1,70 @@
package com.ankurm.atomics;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.Timeout;
import java.util.concurrent.CountDownLatch;
import java.util.stream.IntStream;
import static org.junit.jupiter.api.Assertions.assertEquals;
/**
* Lost-update sanity checks for all five counters - does not test throughput
* or the ABA/memory-ordering claims, only that nothing loses an increment.
*/
class CounterCorrectnessTest {
private static final int THREADS = 8;
private static final int INCREMENTS_PER_THREAD = 50_000;
@Test @Timeout(30)
void synchronizedCounterHasNoLostUpdates() throws InterruptedException {
assertNoLostUpdates(new SynchronizedCounter());
}
@Test @Timeout(30)
void reentrantLockCounterHasNoLostUpdates() throws InterruptedException {
assertNoLostUpdates(new ReentrantLockCounter());
}
@Test @Timeout(30)
void atomicLongCounterHasNoLostUpdates() throws InterruptedException {
assertNoLostUpdates(new AtomicLongCounter());
}
@Test @Timeout(30)
void longAdderCounterHasNoLostUpdates() throws InterruptedException {
assertNoLostUpdates(new LongAdderCounter());
}
@Test @Timeout(30)
void varHandleCounterHasNoLostUpdates() throws InterruptedException {
assertNoLostUpdates(new VarHandleCounter());
}
private void assertNoLostUpdates(Counter counter) throws InterruptedException {
CountDownLatch ready = new CountDownLatch(THREADS);
CountDownLatch start = new CountDownLatch(1);
CountDownLatch done = new CountDownLatch(THREADS);
IntStream.range(0, THREADS).forEach(i -> new Thread(() -> {
ready.countDown();
try {
start.await();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
return;
}
for (int j = 0; j < INCREMENTS_PER_THREAD; j++) {
counter.increment();
}
done.countDown();
}).start());
ready.await();
start.countDown();
done.await();
assertEquals((long) THREADS * INCREMENTS_PER_THREAD, counter.get());
}
}
+1
View File
@@ -15,6 +15,7 @@
<modules>
<module>jmm</module>
<module>locks</module>
<module>atomics</module>
</modules>
<properties>