feat: fvm: optimize FVM lanes a bit (#11875)

This is showing up in profiles so I figured I'd optimize it a bit:

1. Avoid holding locks while recording metrics.
2. Slightly reduce allocations by re-using the metrics "mutators".

Also, use the passed context for better tracing.

This is unlikely to make a huge difference, but it may help RPC
providers a _tiny_ bit and doesn't really move the complexity needle.
This commit is contained in:
Steven Allen 2024-04-14 15:12:19 -05:00 committed by GitHub
parent cd39a09fa5
commit 20de759aee
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@ -41,14 +41,14 @@ func newVMExecutor(vmi Interface, lane ExecutionLane) Interface {
}
func (e *vmExecutor) ApplyMessage(ctx context.Context, cmsg types.ChainMsg) (*ApplyRet, error) {
token := execution.getToken(e.lane)
token := execution.getToken(ctx, e.lane)
defer token.Done()
return e.vmi.ApplyMessage(ctx, cmsg)
}
func (e *vmExecutor) ApplyImplicitMessage(ctx context.Context, msg *types.Message) (*ApplyRet, error) {
token := execution.getToken(e.lane)
token := execution.getToken(ctx, e.lane)
defer token.Done()
return e.vmi.ApplyImplicitMessage(ctx, msg)
@ -61,6 +61,7 @@ func (e *vmExecutor) Flush(ctx context.Context) (cid.Cid, error) {
type executionToken struct {
lane ExecutionLane
reserved int
ctx context.Context
}
func (token *executionToken) Done() {
@ -77,78 +78,69 @@ type executionEnv struct {
reserved int
}
func (e *executionEnv) getToken(lane ExecutionLane) *executionToken {
metricsUp(metrics.VMExecutionWaiting, lane)
defer metricsDown(metrics.VMExecutionWaiting, lane)
func (e *executionEnv) getToken(ctx context.Context, lane ExecutionLane) *executionToken {
metricsUp(ctx, metrics.VMExecutionWaiting, lane)
defer metricsDown(ctx, metrics.VMExecutionWaiting, lane)
e.mx.Lock()
defer e.mx.Unlock()
switch lane {
case ExecutionLaneDefault:
reserving := 0
if lane == ExecutionLaneDefault {
for e.available <= e.reserved {
e.cond.Wait()
}
e.available--
metricsUp(metrics.VMExecutionRunning, lane)
return &executionToken{lane: lane, reserved: 0}
case ExecutionLanePriority:
} else {
for e.available == 0 {
e.cond.Wait()
}
e.available--
reserving := 0
if e.reserved > 0 {
e.reserved--
reserving = 1
}
metricsUp(metrics.VMExecutionRunning, lane)
return &executionToken{lane: lane, reserved: reserving}
default:
// already checked at interface boundary in NewVM, so this is appropriate
panic("bogus execution lane")
}
e.available--
e.mx.Unlock()
metricsUp(ctx, metrics.VMExecutionRunning, lane)
return &executionToken{lane: lane, reserved: reserving, ctx: ctx}
}
func (e *executionEnv) putToken(token *executionToken) {
e.mx.Lock()
defer e.mx.Unlock()
e.available++
e.reserved += token.reserved
// Note: Signal is unsound, because a priority token could wake up a non-priority
// goroutnie and lead to deadlock. So Broadcast it must be.
// goroutine and lead to deadlock. So Broadcast it must be.
e.cond.Broadcast()
e.mx.Unlock()
metricsDown(metrics.VMExecutionRunning, token.lane)
metricsDown(token.ctx, metrics.VMExecutionRunning, token.lane)
}
func metricsUp(metric *stats.Int64Measure, lane ExecutionLane) {
metricsAdjust(metric, lane, 1)
func metricsUp(ctx context.Context, metric *stats.Int64Measure, lane ExecutionLane) {
metricsAdjust(ctx, metric, lane, 1)
}
func metricsDown(metric *stats.Int64Measure, lane ExecutionLane) {
metricsAdjust(metric, lane, -1)
func metricsDown(ctx context.Context, metric *stats.Int64Measure, lane ExecutionLane) {
metricsAdjust(ctx, metric, lane, -1)
}
func metricsAdjust(metric *stats.Int64Measure, lane ExecutionLane, delta int) {
laneName := "default"
var (
defaultLaneTag = tag.Upsert(metrics.ExecutionLane, "default")
priorityLaneTag = tag.Upsert(metrics.ExecutionLane, "priority")
)
func metricsAdjust(ctx context.Context, metric *stats.Int64Measure, lane ExecutionLane, delta int) {
laneTag := defaultLaneTag
if lane > ExecutionLaneDefault {
laneName = "priority"
laneTag = priorityLaneTag
}
ctx, _ := tag.New(
context.Background(),
tag.Upsert(metrics.ExecutionLane, laneName),
)
ctx, _ = tag.New(ctx, laneTag)
stats.Record(ctx, metric.M(int64(delta)))
}