290 lines
13 KiB
C#
290 lines
13 KiB
C#
using Microsoft.Extensions.Logging.Abstractions;
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using Microsoft.Extensions.Options;
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namespace ZB.MOM.WW.ScadaBridge.SiteEventLogging.Tests;
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/// <summary>
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/// WP1.7 (arch-review remediation, 2026-08-14): <see cref="SiteEventLogger"/>'s
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/// background writer loop must drain its bounded channel into batched transactions
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/// (up to <see cref="SiteEventLogger.WriteBatchSize"/> events per commit) instead of
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/// committing one transaction per event — mirroring the reference shape in
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/// <c>ZB.MOM.WW.ScadaBridge.AuditLog/Site/SqliteAuditWriter.cs</c>
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/// (<c>ProcessWriteQueueAsync</c>/<c>FlushBatch</c>).
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/// </summary>
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public class SiteEventLoggerBatchingTests : IDisposable
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{
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private readonly SiteEventLogger _logger;
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private readonly string _dbPath;
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private readonly TestLocalDb _localDb;
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public SiteEventLoggerBatchingTests()
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{
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_dbPath = Path.Combine(Path.GetTempPath(), $"test_batch_{Guid.NewGuid()}.db");
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var options = Options.Create(new SiteEventLogOptions { DatabasePath = _dbPath });
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_localDb = TestLocalDb.Create(_dbPath);
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_logger = new SiteEventLogger(options, NullLogger<SiteEventLogger>.Instance, _localDb.Db);
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}
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public void Dispose()
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{
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_logger.Dispose();
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_localDb.Dispose();
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TestLocalDb.DeleteFiles(_dbPath);
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}
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[Fact]
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public async Task LogEventAsync_SingleEvent_CommitsOneBatch()
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{
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await _logger.LogEventAsync("script", "Info", null, "Source", "one event");
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Assert.Equal(1, _logger.CommittedBatchCount);
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}
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[Fact]
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public async Task ProcessWriteQueue_BurstOfQueuedEvents_CommitsFarFewerBatchesThanEvents()
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{
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// Deterministically force a large burst of events to be sitting in the
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// channel BEFORE the writer loop is free to drain them, so the drain is
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// not at the mercy of scheduler timing (the same "hold the connection
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// busy" technique SiteEventLoggerAsyncTests uses to prove the caller
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// never blocks). While the write lock is held, the writer loop's first
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// FlushBatch call blocks trying to acquire it — every event enqueued
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// during that window queues up untouched. Once released, the writer
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// loop's next iterations greedily TryRead everything already queued
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// into batches capped at WriteBatchSize (256), so a burst well above
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// that cap must still land in only a handful of transactions.
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var busyStarted = new ManualResetEventSlim(false);
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var releaseBusy = new ManualResetEventSlim(false);
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var busyThread = new Thread(() =>
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{
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_logger.WithConnection(_ =>
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{
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busyStarted.Set();
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releaseBusy.Wait(TimeSpan.FromSeconds(10));
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});
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});
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busyThread.Start();
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Assert.True(busyStarted.Wait(TimeSpan.FromSeconds(5)), "Busy thread did not start.");
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// > WriteBatchSize (256) so a correctly batching writer must still take
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// at least ceil(burstCount / WriteBatchSize) = 2 post-release batches,
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// plus at most one partial batch already blocked on the lock — nowhere
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// near burstCount (300) transactions.
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const int burstCount = 300;
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var tasks = new List<Task>(burstCount);
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for (var i = 0; i < burstCount; i++)
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{
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tasks.Add(_logger.LogEventAsync("script", "Info", null, "Burst", $"event {i}"));
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}
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releaseBusy.Set();
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busyThread.Join(TimeSpan.FromSeconds(10));
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await Task.WhenAll(tasks).WaitAsync(TimeSpan.FromSeconds(30));
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var batchesUsed = _logger.CommittedBatchCount;
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var expectedMax = (long)Math.Ceiling(burstCount / (double)SiteEventLogger.WriteBatchSize) + 1;
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Assert.True(batchesUsed <= expectedMax,
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$"Expected at most {expectedMax} batch transactions for {burstCount} queued events " +
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$"(WriteBatchSize={SiteEventLogger.WriteBatchSize}), but {batchesUsed} were committed — " +
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"the writer loop is not batching the drain into few transactions.");
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Assert.True(batchesUsed < burstCount,
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$"{batchesUsed} batches were committed for {burstCount} events — that is one-transaction-per-event, not batched.");
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var count = _logger.WithConnection(connection =>
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{
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using var cmd = connection.CreateCommand();
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cmd.CommandText = "SELECT COUNT(*) FROM site_events";
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return (long)cmd.ExecuteScalar()!;
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});
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Assert.Equal(burstCount, count);
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}
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[Fact]
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public async Task ProcessWriteQueue_BatchFailure_FaultsEveryQueuedEvent_NoneSilentlyDropped()
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{
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// Batching introduces a risk absent from the old one-transaction-per-event
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// shape: a failure could silently drop or under-report events that were
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// swept into the same failed batch as the one that actually errored,
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// instead of faulting every affected Task and counting every affected
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// event in FailedWriteCount. Force a burst to queue up while the writer
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// is blocked on the shared lock, then make every subsequent write fail
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// (drop the table) before releasing — regardless of how the burst splits
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// across batch(es) once released, every queued event's Task must still
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// fault and FailedWriteCount must still account for all of them.
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var busyStarted = new ManualResetEventSlim(false);
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var releaseBusy = new ManualResetEventSlim(false);
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var busyThread = new Thread(() =>
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{
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_logger.WithConnection(connection =>
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{
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busyStarted.Set();
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releaseBusy.Wait(TimeSpan.FromSeconds(10));
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// Drop the table while still holding the lock, immediately before
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// releasing it, so the burst below (already fully queued during
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// the busy window) hits a missing table as ONE batch.
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using var cmd = connection.CreateCommand();
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cmd.CommandText = "DROP TABLE site_events";
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cmd.ExecuteNonQuery();
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});
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});
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busyThread.Start();
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Assert.True(busyStarted.Wait(TimeSpan.FromSeconds(5)), "Busy thread did not start.");
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const int burstCount = 10;
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var tasks = new List<Task>(burstCount);
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for (var i = 0; i < burstCount; i++)
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{
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tasks.Add(_logger.LogEventAsync("script", "Info", null, "Burst", $"event {i}"));
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}
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releaseBusy.Set();
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busyThread.Join(TimeSpan.FromSeconds(10));
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// Every event in the batch must fault — none silently "succeeds" while
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// its siblings fail, and none is silently dropped.
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foreach (var task in tasks)
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{
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await Assert.ThrowsAnyAsync<Exception>(() => task).WaitAsync(TimeSpan.FromSeconds(10));
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}
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Assert.True(_logger.FailedWriteCount >= burstCount,
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$"Expected FailedWriteCount to account for all {burstCount} events in the rolled-back batch, got {_logger.FailedWriteCount}.");
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}
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[Fact]
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public async Task ProcessWriteQueue_PoisonRowMidBatch_OtherRowsLand_AndOnlyThePoisonRowIsCountedFailed()
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{
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// A batch is all-or-nothing, so a SINGLE unwritable row used to take its ~255 innocent
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// neighbours down with it — every Task faulted and FailedWriteCount (a health metric)
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// inflated by the batch size instead of by the number of bad rows. The rollback is now
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// followed by a row-by-row retry: one poison row must cost exactly one row.
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_logger.WithConnection(connection =>
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{
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using var cmd = connection.CreateCommand();
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cmd.CommandText = """
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CREATE TRIGGER reject_poison BEFORE INSERT ON site_events
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WHEN NEW.message = 'poison'
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BEGIN SELECT RAISE(ABORT, 'poison row rejected'); END;
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""";
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cmd.ExecuteNonQuery();
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});
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// Hold the writer off the connection so the whole burst is queued together and lands
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// in one batch — the poison row is therefore mid-batch, not alone in its own.
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var busyStarted = new ManualResetEventSlim(false);
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var releaseBusy = new ManualResetEventSlim(false);
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var busyThread = new Thread(() =>
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{
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_logger.WithConnection(_ =>
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{
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busyStarted.Set();
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releaseBusy.Wait(TimeSpan.FromSeconds(10));
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});
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});
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busyThread.Start();
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Assert.True(busyStarted.Wait(TimeSpan.FromSeconds(5)), "Busy thread did not start.");
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const int burstCount = 10;
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const int poisonIndex = 5;
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var tasks = new List<Task>(burstCount);
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for (var i = 0; i < burstCount; i++)
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{
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tasks.Add(_logger.LogEventAsync(
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"script", "Info", null, "Poison", i == poisonIndex ? "poison" : $"event {i}"));
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}
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releaseBusy.Set();
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busyThread.Join(TimeSpan.FromSeconds(10));
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// Every non-poison event still completes successfully…
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for (var i = 0; i < burstCount; i++)
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{
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if (i == poisonIndex) continue;
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await tasks[i].WaitAsync(TimeSpan.FromSeconds(15));
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}
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// …and only the poison event's own caller sees a failure.
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await Assert.ThrowsAnyAsync<Exception>(() => tasks[poisonIndex])
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.WaitAsync(TimeSpan.FromSeconds(15));
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Assert.Equal(1, _logger.FailedWriteCount);
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var landed = _logger.WithConnection(connection =>
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{
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using var cmd = connection.CreateCommand();
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cmd.CommandText = "SELECT COUNT(*) FROM site_events WHERE source = 'Poison'";
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return (long)cmd.ExecuteScalar()!;
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});
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Assert.Equal(burstCount - 1, landed);
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}
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[Fact]
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public async Task Dispose_PersistsEventsStillQueuedAtShutdown()
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{
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// Graceful shutdown must DRAIN the queue, not discard it. _disposed is what makes
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// WithConnection refuse a write, so flipping it before waiting for the writer loop
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// would fault every remaining batch with ObjectDisposedException — losing exactly the
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// shutdown-time diagnostics most worth keeping. It flips only after the drain.
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var dbPath = Path.Combine(Path.GetTempPath(), $"test_dispose_{Guid.NewGuid()}.db");
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var localDb = TestLocalDb.Create(dbPath);
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try
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{
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var logger = new SiteEventLogger(
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Options.Create(new SiteEventLogOptions { DatabasePath = dbPath }),
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NullLogger<SiteEventLogger>.Instance,
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localDb.Db);
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// Block the writer so the whole burst is provably still queued when Dispose starts.
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var busyStarted = new ManualResetEventSlim(false);
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var releaseBusy = new ManualResetEventSlim(false);
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var busyThread = new Thread(() =>
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{
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logger.WithConnection(_ =>
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{
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busyStarted.Set();
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releaseBusy.Wait(TimeSpan.FromSeconds(10));
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});
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});
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busyThread.Start();
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Assert.True(busyStarted.Wait(TimeSpan.FromSeconds(5)), "Busy thread did not start.");
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// More than WriteBatchSize, so the drain spans several batches and a mid-drain
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// _disposed flip would be caught even if the first batch slipped through.
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const int burstCount = 500;
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var tasks = new List<Task>(burstCount);
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for (var i = 0; i < burstCount; i++)
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{
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tasks.Add(logger.LogEventAsync("script", "Info", null, "Shutdown", $"event {i}"));
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}
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// Dispose blocks on the write lock the busy thread holds; release it once Dispose
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// is under way, so the drain and the shutdown genuinely overlap.
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var dispose = Task.Run(logger.Dispose);
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Thread.Sleep(250);
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releaseBusy.Set();
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busyThread.Join(TimeSpan.FromSeconds(10));
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await dispose.WaitAsync(TimeSpan.FromSeconds(30));
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// Every caller that got an accepted enqueue before shutdown sees a completed write…
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await Task.WhenAll(tasks).WaitAsync(TimeSpan.FromSeconds(15));
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Assert.Equal(0, logger.FailedWriteCount);
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// …and the rows are really in the file, read back through a fresh connection.
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using var connection = localDb.Db.CreateConnection();
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using var cmd = connection.CreateCommand();
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cmd.CommandText = "SELECT COUNT(*) FROM site_events WHERE source = 'Shutdown'";
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Assert.Equal(burstCount, (long)cmd.ExecuteScalar()!);
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}
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finally
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{
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localDb.Dispose();
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TestLocalDb.DeleteFiles(dbPath);
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}
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}
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}
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