The loop span through its body regardless of whether there was anything to do -- ~10% of a desktop core for an empty shard, ~70% of a small VPS core, and a process that never idles is exactly what burstable vCPU plans throttle. The loop now blocks in NetState.WaitForCompletion whenever every queue it drains is empty, waking on the next timer tick or the moment work arrives. Receive completions, new connections, and cross-thread LoopContext.Post (via IORingGroup 1.0.10's sticky Wake) are all in the wait set, so sleeping adds no latency to any of them; only timer-driven logic sees wheel lag, bounded by server.eventLoopIdleWaitMs (default 2ms, 0 = never sleep). Measured on a real world of 190k items / 33k mobiles: 10.4% of a core to 0.8-1.0%, with peak tick lag unchanged. Spin mode independently gained 7x the iterations per core from the ring's AcceptEx rework. Sleeping also gives the GC natural pause points, which the old spin loop denied it -- memory no longer climbs until a save forces a collection. A sleep is bounded by the next wheel turn, so a correctly honoured sleep can never miss a deadline; the only way sleeping harms the wheel is the host returning the wait late. That overshoot is measured on every sleep, and an escalating backoff (server.lateWakeThreshold) suspends sleeping when it persists -- server work like saves or heavy commands cannot trip it by construction. Hosts without high-resolution waits are detected once at startup and spin instead. The admin gump shows the verdict instead of the now-meaningless CPS figure, which is removed. Time accounting for diagnosis is compiled out of normal builds: build with -p:EventLoopProfiling=true to enable EventLoopProfiler (per-phase wall time, sleep overshoot, GC pauses, stolen-time residual, ~15min ring buffer) and the [LoopStats command with CSV dump. See dev-docs/debugging-event-loop.md for the diagnosis funnel. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2.7 KiB
Tick Counts: Overflow and Huge Starting Values
Rules for any code that compares Core.TickCount / Core.GetTimestamp() values. Getting this
wrong produces bugs that only appear on specific cloud hosts after long host uptimes — the worst
kind to reproduce.
Why this matters (the Linux/cloud problem)
Core.GetTimestamp() is built on Stopwatch.GetTimestamp(), which on Linux reads the kernel's
monotonic clock — and on some hypervisors, notably Google Cloud, the VM receives a
pass-through of the host's never-resetting counter. The tick count is not zero when the
process starts and not zero when the operating system booted; it is however long the physical
host has been up, which can be months or years. We have been burned by this in production.
Consequences:
- Raw values are enormous from the first read. Arithmetic that would "never overflow in 292
years" of process uptime can overflow immediately (
Core.GetTimestamp()'sUInt128conversion path exists precisely becauseraw * 1000does not fit in 64 bits for large raws). - Wrapped values can be negative. Nothing may assume a tick count is positive.
- Windows is not affected in our testing so far, which is exactly why this class of bug ships: it works on every dev machine and fails on a customer's GCP instance.
The rules
-
Compare by subtraction, never directly. Subtraction of two ticks wraps correctly in two's complement; direct comparison does not.
// WRONG: fails when ticks wrap or start huge if (Core.TickCount < deadline) // RIGHT: wraparound-safe if (Core.TickCount - deadline < 0) -
Durations are always subtractions of two readings (
elapsed = end - start). Never derive a duration from a single absolute value. -
No zero or sign sentinels.
if (_lastEventAt > 0)as "has this happened yet" breaks when ticks are negative. Track "has happened" with a separateboolor an existing counter. -
Seed deadline fields from a real tick, not from field initialization. A
long _deadline;left at 0 compares wrong against a huge or negative tick. Initialize relative to the first observed timestamp (see the schedule-state seeding inCore.Setup). -
Store deadlines as
start + intervalonly if every comparison follows rule 1. The addition may wrap; the subtraction comparison handles it.
Reviewing for it
Grep the diff for TickCount <, TickCount >, GetTimestamp() <, and comparisons against any
field whose name suggests a deadline (*Until, *At, *Next*). Each hit must be in subtraction
form. DateTime/DateTimeOffset comparisons are unaffected; this applies only to the monotonic
tick domain.