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using System;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using FluentAssertions;
using Xunit;
namespace DynamicData.Tests.Cache;
public static partial class SuspendNotificationsFixture
{
public sealed class IntegrationTests
: IntegrationTestFixtureBase
{
[Fact]
public void ResumeDeliversPendingChangesWithoutHoldingTheLock()
{
// On resume, the changes accumulated while suspended must be delivered to
// subscribers WITHOUT the cache lock held. A subscriber that blocks mid-delivery
// must therefore not stall an unrelated, lock-requiring operation on another
// thread. If the lock were held during delivery, the concurrent operation would
// block for the full duration of the blocked subscriber.
//
// Dedicated threads are used (rather than the thread pool) so the test is immune
// to pool starvation when run alongside other test collections.
using var cache = new SourceCache<int, int>(static x => x);
using var deliveryStarted = new ManualResetEventSlim(false);
using var releaseDelivery = new ManualResetEventSlim(false);
using var concurrentOpDone = new ManualResetEventSlim(false);
// An active subscriber (connected before suspension) that blocks on its first delivery.
var blockOnce = true;
using var slowSub = cache.Connect().Subscribe(_ =>
{
if (blockOnce)
{
blockOnce = false;
deliveryStarted.Set();
releaseDelivery.Wait(TimeSpan.FromSeconds(30));
}
});
var suspend = cache.SuspendNotifications();
cache.AddOrUpdate(Enumerable.Range(0, 10));
// Resume on a background thread: the accumulated changes are delivered to the
// slow subscriber, which blocks partway through.
var resumeThread = new Thread(suspend.Dispose) { IsBackground = true };
resumeThread.Start();
deliveryStarted.Wait(TimeSpan.FromSeconds(10)).Should().BeTrue("delivery of pending changes should have started");
// While delivery is blocked, a concurrent lock-requiring operation must complete
// promptly. It cannot if the delivery is happening under the cache lock. The
// distinguishing gap is large (milliseconds if the lock is free, ~30s if held),
// so a generous threshold stays reliable under cold-start JIT and heavy load.
var concurrentThread = new Thread(() =>
{
cache.SuspendNotifications().Dispose();
concurrentOpDone.Set();
}) { IsBackground = true };
concurrentThread.Start();
var completedWhileBlocked = concurrentOpDone.Wait(TimeSpan.FromSeconds(10));
releaseDelivery.Set();
resumeThread.Join(TimeSpan.FromSeconds(30)).Should().BeTrue("resume should complete");
concurrentThread.Join(TimeSpan.FromSeconds(30)).Should().BeTrue("concurrent operation should complete");
completedWhileBlocked.Should().BeTrue("a concurrent operation must not block while pending changes are delivered; the lock must not be held during delivery");
cache.Count.Should().Be(10, "all items should be present after resume");
}
[Fact]
public void StaleResumeSignalIsSuppressedByConcurrentReSuspend()
{
// Deterministic reproduction of the suspend/resume state-divergence race (#1131).
// Resume decrements the suspend count in one step and emits its resume signal in a
// later step. If a re-suspend slips in between, the resume signal must NOT fire:
// otherwise the suspended-notification subject would say "resumed" while the count
// says "suspended", and a connection made during the re-suspension would wrongly
// activate and receive data while notifications are suspended.
//
// The interleaving is forced deterministically: an active subscriber blocks the
// resume thread inside delivery, after the count has been decremented to zero but
// before the resume signal, giving the main thread a window to re-suspend and connect.
using var cache = new SourceCache<int, int>(static x => x);
var dataSet = Enumerable.Range(0, 50).ToList();
using var deliveryStarted = new ManualResetEventSlim(false);
using var releaseDelivery = new ManualResetEventSlim(false);
var blockOnce = true;
using var activeSub = cache.Connect().Subscribe(_ =>
{
if (blockOnce)
{
blockOnce = false;
deliveryStarted.Set();
releaseDelivery.Wait(TimeSpan.FromSeconds(30));
}
});
var suspend1 = cache.SuspendNotifications();
cache.AddOrUpdate(dataSet);
// Resume on a background thread: it decrements the count to zero and, while delivering
// the accumulated changes to the blocking subscriber, parks BEFORE the resume signal.
var resumeThread = new Thread(suspend1.Dispose) { IsBackground = true };
resumeThread.Start();
deliveryStarted.Wait(TimeSpan.FromSeconds(10)).Should().BeTrue("delivery should have started");
// The resume thread is parked after decrementing the count but before signalling
// resume. Re-suspend and connect a new subscriber while the count is transiently zero.
var suspend2 = cache.SuspendNotifications();
using var lateResults = cache.Connect().AsAggregator();
// Let the resume thread proceed to its now-stale resume signal.
releaseDelivery.Set();
resumeThread.Join(TimeSpan.FromSeconds(30)).Should().BeTrue("resume should complete");
// The late subscriber connected while re-suspended: it must NOT have activated,
// because notifications ARE suspended (suspend2 is active). The stale resume signal
// must be suppressed by re-checking the suspend count.
lateResults.Messages.Count.Should().Be(0, "a connection made during re-suspension must not activate on a stale resume signal");
lateResults.Data.Count.Should().Be(0, "no data should be delivered while suspended");
// Releasing the real suspension delivers the data normally.
suspend2.Dispose();
lateResults.Data.Count.Should().Be(dataSet.Count, "all data should arrive once truly resumed");
lateResults.Messages.Count.Should().Be(1, "a single changeset on the real resume");
}
[Fact]
public async Task ConcurrentSuspendDuringResumeDoesNotCorrupt()
{
// Stress test: races resume against re-suspend on two threads.
// Both orderings are correct (tested deterministically above).
// This test verifies no corruption, deadlocks, or data loss under contention.
const int iterations = 200;
var dataSet1 = Enumerable.Range(0, 100).ToList();
var dataSet2 = Enumerable.Range(1000, 100).ToList();
var allData = dataSet1.Concat(dataSet2).ToList();
for (var iter = 0; iter < iterations; iter++)
{
using var cache = new SourceCache<int, int>(static x => x);
var suspend1 = cache.SuspendNotifications();
cache.AddOrUpdate(dataSet1);
using var results = cache.Connect().AsAggregator();
using var barrier = new Barrier(2);
var resumeTask = Task.Run(() =>
{
barrier.SignalAndWait();
suspend1.Dispose();
});
var reSuspendTask = Task.Run(() =>
{
barrier.SignalAndWait();
return cache.SuspendNotifications();
});
await Task.WhenAll(resumeTask, reSuspendTask);
var suspend2 = await reSuspendTask;
cache.AddOrUpdate(dataSet2);
suspend2.Dispose();
results.Summary.Overall.Adds.Should().Be(allData.Count, $"iteration {iter}: exactly {allData.Count} adds");
results.Summary.Overall.Removes.Should().Be(0, $"iteration {iter}: no removes");
results.Summary.Overall.Updates.Should().Be(0, $"iteration {iter}: no updates because keys don't overlap");
results.Data.Count.Should().Be(allData.Count, $"iteration {iter}: {allData.Count} items in final state");
results.Data.Keys.OrderBy(k => k).Should().Equal(allData, $"iteration {iter}: all keys present in order");
results.Error.Should().BeNull($"iteration {iter}: no errors");
results.IsCompleted.Should().BeFalse($"iteration {iter}: not completed");
}
}
}
}