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NRG: Drop append entries when upper layer is overloaded #4735

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neilalexander
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This adds a mechanism for the Raft layer to detect when the upper layer isn't keeping up with applies. When the overloaded condition is detected, we'll start dropping newly incoming append entries instead so that the apply queue doesn't build up endlessly.

Still need to figure out what threshold makes sense here, or how it makes sense to configure it.

Signed-off-by: Neil Twigg neil@nats.io

server/raft.go Outdated

// Updates the overloaded state. Lock must be held.
func (n *raft) updateOverloadState() {
n.overload.Store(n.apply.len() >= overloadThreshold || n.commit-n.applied >= uint64(overloadThreshold))
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More about memory then number of elements I think, WDYT?


// Pushes to the apply queue and updates the overloaded state. Lock must be held.
func (n *raft) pushToApply(ce *CommittedEntry) {
n.apply.push(ce)
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I think this function returns pending, so could short circuit some work here.

// If we are overwhelmed, i.e. the upper layer is not applying entries
// fast enough and our apply queue is building up, start to drop new
// append entries instead.
if n.Overloaded() {
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Just check n.apply.len()? Always present, so do not need to lock the raft group, and ipq underneath has its own which we use here anyway.

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Overloaded() doesn't take a lock but now just checks the apply queue size.

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It takes the ipq lock, so we are now taking it twice in that function I think.

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Does the ipq size tracking effect performance?

// If we are overwhelmed, i.e. the upper layer is not applying entries
// fast enough and our apply queue is building up, start to drop new
// append entries instead.
if n.Overloaded() {
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It takes the ipq lock, so we are now taking it twice in that function I think.

@neilalexander
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Haven't benched it yet but I will do so.

@neilalexander neilalexander changed the title Raft: Drop append entries when upper layer is overloaded NRG: Drop append entries when upper layer is overloaded Feb 15, 2024
Signed-off-by: Neil Twigg <neil@nats.io>
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2 participants