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ratelimits: Correctly handle stale and concurrently initialized buckets #7886

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Dec 17, 2024
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46 changes: 37 additions & 9 deletions ratelimits/limiter.go
Original file line number Diff line number Diff line change
Expand Up @@ -277,31 +277,34 @@ func (l *Limiter) BatchSpend(ctx context.Context, txns []Transaction) (*Decision
batchDecision := allowedDecision
newBuckets := make(map[string]time.Time)
incrBuckets := make(map[string]increment)
staleBuckets := make(map[string]time.Time)
txnOutcomes := make(map[Transaction]string)

for _, txn := range batch {
tat, bucketExists := tats[txn.bucketKey]
storedTAT, bucketExists := tats[txn.bucketKey]
effectiveTAT := storedTAT
if !bucketExists {
// First request from this client.
tat = l.clk.Now()
effectiveTAT = l.clk.Now()
}

d := maybeSpend(l.clk, txn, tat)
d := maybeSpend(l.clk, txn, effectiveTAT)
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if txn.limit.isOverride() {
utilization := float64(txn.limit.Burst-d.remaining) / float64(txn.limit.Burst)
l.overrideUsageGauge.WithLabelValues(txn.limit.name.String(), txn.limit.overrideKey).Set(utilization)
}

if d.allowed && (tat != d.newTAT) && txn.spend {
// New bucket state should be persisted.
if bucketExists {
if d.allowed && (effectiveTAT != d.newTAT) && txn.spend {
if !bucketExists {
newBuckets[txn.bucketKey] = d.newTAT
} else if storedTAT.After(l.clk.Now()) {
incrBuckets[txn.bucketKey] = increment{
cost: time.Duration(txn.cost * txn.limit.emissionInterval),
ttl: time.Duration(txn.limit.burstOffset),
}
} else {
newBuckets[txn.bucketKey] = d.newTAT
staleBuckets[txn.bucketKey] = d.newTAT
}
}

Expand All @@ -319,18 +322,43 @@ func (l *Limiter) BatchSpend(ctx context.Context, txns []Transaction) (*Decision

if batchDecision.allowed {
if len(newBuckets) > 0 {
err = l.source.BatchSet(ctx, newBuckets)
// Use BatchSetNotExisting to create new buckets so that we detect
// if concurrent requests have created this bucket at the same time,
// which would result in overwriting if we used a plain "SET"
// command. If that happens, fall back to incrementing.
alreadyExists, err := l.source.BatchSetNotExisting(ctx, newBuckets)
if err != nil {
return nil, fmt.Errorf("batch set for %d keys: %w", len(newBuckets), err)
}
// Find the original transaction in order to compute the increment
// and set the TTL.
for _, txn := range batch {
if alreadyExists[txn.bucketKey] {
incrBuckets[txn.bucketKey] = increment{
cost: time.Duration(txn.cost * txn.limit.emissionInterval),
ttl: time.Duration(txn.limit.burstOffset),
}
}
}
}

if len(incrBuckets) > 0 {
err = l.source.BatchIncrement(ctx, incrBuckets)
err := l.source.BatchIncrement(ctx, incrBuckets)
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if err != nil {
return nil, fmt.Errorf("batch increment for %d keys: %w", len(incrBuckets), err)
}
}

if len(staleBuckets) > 0 {
// Incrementing a TAT in the past grants unintended burst capacity.
// So instead we overwrite it with a TAT of now + increment. This
// approach may cause a race condition where only the last spend is
// saved, but it's preferable to the alternative.
err := l.source.BatchSet(ctx, staleBuckets)
if err != nil {
return nil, fmt.Errorf("batch set for %d keys: %w", len(staleBuckets), err)
}
}
}

// Observe latency equally across all transactions in the batch.
Expand Down
20 changes: 20 additions & 0 deletions ratelimits/source.go
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,11 @@ type Source interface {
// the underlying storage client implementation).
BatchSet(ctx context.Context, bucketKeys map[string]time.Time) error

// BatchSetNotExisting attempts to set TATs for the specified bucketKeys if
// they do not already exist. Returns a map indicating which keys already
// exist.
BatchSetNotExisting(ctx context.Context, buckets map[string]time.Time) (map[string]bool, error)

// BatchIncrement updates the TATs for the specified bucketKeys, similar to
// BatchSet. Implementations MUST ensure non-blocking operations by either:
// a) applying a deadline or timeout to the context WITHIN the method, or
Expand Down Expand Up @@ -79,6 +84,21 @@ func (in *inmem) BatchSet(_ context.Context, bucketKeys map[string]time.Time) er
return nil
}

func (in *inmem) BatchSetNotExisting(_ context.Context, bucketKeys map[string]time.Time) (map[string]bool, error) {
in.Lock()
defer in.Unlock()
alreadyExists := make(map[string]bool, len(bucketKeys))
for k, v := range bucketKeys {
_, ok := in.m[k]
if ok {
alreadyExists[k] = true
} else {
in.m[k] = v
}
}
return alreadyExists, nil
}

func (in *inmem) BatchIncrement(_ context.Context, bucketKeys map[string]increment) error {
in.Lock()
defer in.Unlock()
Expand Down
37 changes: 37 additions & 0 deletions ratelimits/source_redis.go
Original file line number Diff line number Diff line change
Expand Up @@ -108,6 +108,43 @@ func (r *RedisSource) BatchSet(ctx context.Context, buckets map[string]time.Time
return nil
}

// BatchSetNotExisting attempts to set TATs for the specified bucketKeys if they
// do not already exist. Returns a map indicating which keys already existed.
func (r *RedisSource) BatchSetNotExisting(ctx context.Context, buckets map[string]time.Time) (map[string]bool, error) {
start := r.clk.Now()

pipeline := r.client.Pipeline()
cmds := make(map[string]*redis.BoolCmd, len(buckets))
for bucketKey, tat := range buckets {
// Set a TTL of TAT + 10 minutes to account for clock skew.
ttl := tat.UTC().Sub(r.clk.Now()) + 10*time.Minute
cmds[bucketKey] = pipeline.SetNX(ctx, bucketKey, tat.UTC().UnixNano(), ttl)
}
_, err := pipeline.Exec(ctx)
if err != nil {
r.observeLatency("batchsetnotexisting", r.clk.Since(start), err)
return nil, err
}

alreadyExists := make(map[string]bool, len(buckets))
totalLatency := r.clk.Since(start)
perSetLatency := totalLatency / time.Duration(len(buckets))
for bucketKey, cmd := range cmds {
success, err := cmd.Result()
if err != nil {
r.observeLatency("batchsetnotexisting_entry", perSetLatency, err)
return nil, err
}
if !success {
alreadyExists[bucketKey] = true
}
r.observeLatency("batchsetnotexisting_entry", perSetLatency, nil)
}

r.observeLatency("batchsetnotexisting", totalLatency, nil)
return alreadyExists, nil
}

// BatchIncrement updates TATs for the specified bucketKeys using a pipelined
// Redis Transaction in order to reduce the number of round-trips to each Redis
// shard.
Expand Down
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