remote-write: buffer struct instead of interface

This reduces the amount of individual objects allocated, allowing sends
to run a bit faster.

Signed-off-by: Bryan Boreham <bjboreham@gmail.com>
pull/9934/head
Bryan Boreham 3 years ago
parent c478d6477a
commit 50878ebe5e

@ -507,7 +507,6 @@ func (t *QueueManager) sendMetadataWithBackoff(ctx context.Context, metadata []p
// Append queues a sample to be sent to the remote storage. Blocks until all samples are
// enqueued on their shards or a shutdown signal is received.
func (t *QueueManager) Append(samples []record.RefSample) bool {
var appendSample prompb.Sample
outer:
for _, s := range samples {
t.seriesMtx.Lock()
@ -530,9 +529,12 @@ outer:
return false
default:
}
appendSample.Value = s.V
appendSample.Timestamp = s.T
if t.shards.enqueue(s.Ref, writeSample{lbls, appendSample}) {
if t.shards.enqueue(s.Ref, sampleOrExemplar{
seriesLabels: lbls,
timestamp: s.T,
value: s.V,
isSample: true,
}) {
continue outer
}
@ -552,7 +554,6 @@ func (t *QueueManager) AppendExemplars(exemplars []record.RefExemplar) bool {
return true
}
var appendExemplar prompb.Exemplar
outer:
for _, e := range exemplars {
t.seriesMtx.Lock()
@ -576,10 +577,12 @@ outer:
return false
default:
}
appendExemplar.Labels = labelsToLabelsProto(e.Labels, nil)
appendExemplar.Timestamp = e.T
appendExemplar.Value = e.V
if t.shards.enqueue(e.Ref, writeExemplar{lbls, appendExemplar}) {
if t.shards.enqueue(e.Ref, sampleOrExemplar{
seriesLabels: lbls,
timestamp: e.T,
value: e.V,
exemplarLabels: e.Labels,
}) {
continue outer
}
@ -901,16 +904,6 @@ func (t *QueueManager) newShards() *shards {
return s
}
type writeSample struct {
seriesLabels labels.Labels
sample prompb.Sample
}
type writeExemplar struct {
seriesLabels labels.Labels
exemplar prompb.Exemplar
}
type shards struct {
mtx sync.RWMutex // With the WAL, this is never actually contended.
@ -999,7 +992,7 @@ func (s *shards) stop() {
// enqueue data (sample or exemplar). If we are currently in the process of shutting down or resharding,
// will return false; in this case, you should back off and retry.
func (s *shards) enqueue(ref chunks.HeadSeriesRef, data interface{}) bool {
func (s *shards) enqueue(ref chunks.HeadSeriesRef, data sampleOrExemplar) bool {
s.mtx.RLock()
defer s.mtx.RUnlock()
@ -1018,43 +1011,49 @@ func (s *shards) enqueue(ref chunks.HeadSeriesRef, data interface{}) bool {
if !appended {
return false
}
switch data.(type) {
case writeSample:
switch data.isSample {
case true:
s.qm.metrics.pendingSamples.Inc()
s.enqueuedSamples.Inc()
case writeExemplar:
case false:
s.qm.metrics.pendingExemplars.Inc()
s.enqueuedExemplars.Inc()
default:
level.Warn(s.qm.logger).Log("msg", "Invalid object type in shards enqueue")
}
return true
}
}
type queue struct {
batch []interface{}
batchQueue chan []interface{}
batch []sampleOrExemplar
batchQueue chan []sampleOrExemplar
// Since we know there are a limited number of batches out, using a stack
// is easy and safe so a sync.Pool is not necessary.
batchPool [][]interface{}
batchPool [][]sampleOrExemplar
// This mutex covers adding and removing batches from the batchPool.
poolMux sync.Mutex
}
type sampleOrExemplar struct {
seriesLabels labels.Labels
value float64
timestamp int64
exemplarLabels labels.Labels
isSample bool
}
func newQueue(batchSize, capacity int) *queue {
batches := capacity / batchSize
return &queue{
batch: make([]interface{}, 0, batchSize),
batchQueue: make(chan []interface{}, batches),
batch: make([]sampleOrExemplar, 0, batchSize),
batchQueue: make(chan []sampleOrExemplar, batches),
// batchPool should have capacity for everything in the channel + 1 for
// the batch being processed.
batchPool: make([][]interface{}, 0, batches+1),
batchPool: make([][]sampleOrExemplar, 0, batches+1),
}
}
func (q *queue) Append(datum interface{}, stop <-chan struct{}) bool {
func (q *queue) Append(datum sampleOrExemplar, stop <-chan struct{}) bool {
q.batch = append(q.batch, datum)
if len(q.batch) == cap(q.batch) {
select {
@ -1070,20 +1069,20 @@ func (q *queue) Append(datum interface{}, stop <-chan struct{}) bool {
return true
}
func (q *queue) Chan() <-chan []interface{} {
func (q *queue) Chan() <-chan []sampleOrExemplar {
return q.batchQueue
}
// Batch returns the current batch and allocates a new batch. Must not be
// called concurrently with Append.
func (q *queue) Batch() []interface{} {
func (q *queue) Batch() []sampleOrExemplar {
batch := q.batch
q.batch = q.newBatch(cap(batch))
return batch
}
// ReturnForReuse adds the batch buffer back to the internal pool.
func (q *queue) ReturnForReuse(batch []interface{}) {
func (q *queue) ReturnForReuse(batch []sampleOrExemplar) {
q.poolMux.Lock()
defer q.poolMux.Unlock()
if len(q.batchPool) < cap(q.batchPool) {
@ -1106,7 +1105,7 @@ func (q *queue) FlushAndShutdown(done <-chan struct{}) {
close(q.batchQueue)
}
func (q *queue) newBatch(capacity int) []interface{} {
func (q *queue) newBatch(capacity int) []sampleOrExemplar {
q.poolMux.Lock()
defer q.poolMux.Unlock()
batches := len(q.batchPool)
@ -1115,7 +1114,7 @@ func (q *queue) newBatch(capacity int) []interface{} {
q.batchPool = q.batchPool[:batches-1]
return batch
}
return make([]interface{}, 0, capacity)
return make([]sampleOrExemplar, 0, capacity)
}
func (s *shards) runShard(ctx context.Context, shardID int, queue *queue) {
@ -1192,7 +1191,7 @@ func (s *shards) runShard(ctx context.Context, shardID int, queue *queue) {
// traffic instances.
s.mtx.Lock()
// First, we need to see if we can happen to get a batch from the queue if it filled while acquiring the lock.
var batch []interface{}
var batch []sampleOrExemplar
select {
case batch = <-batchQueue:
default:
@ -1211,9 +1210,9 @@ func (s *shards) runShard(ctx context.Context, shardID int, queue *queue) {
}
}
func (s *shards) populateTimeSeries(batch []interface{}, pendingData []prompb.TimeSeries) (int, int) {
func (s *shards) populateTimeSeries(batch []sampleOrExemplar, pendingData []prompb.TimeSeries) (int, int) {
var nPendingSamples, nPendingExemplars int
for nPending, sample := range batch {
for nPending, d := range batch {
pendingData[nPending].Samples = pendingData[nPending].Samples[:0]
if s.qm.sendExemplars {
pendingData[nPending].Exemplars = pendingData[nPending].Exemplars[:0]
@ -1221,14 +1220,21 @@ func (s *shards) populateTimeSeries(batch []interface{}, pendingData []prompb.Ti
// Number of pending samples is limited by the fact that sendSamples (via sendSamplesWithBackoff)
// retries endlessly, so once we reach max samples, if we can never send to the endpoint we'll
// stop reading from the queue. This makes it safe to reference pendingSamples by index.
switch d := sample.(type) {
case writeSample:
switch d.isSample {
case true:
pendingData[nPending].Labels = labelsToLabelsProto(d.seriesLabels, pendingData[nPending].Labels)
pendingData[nPending].Samples = append(pendingData[nPending].Samples, d.sample)
pendingData[nPending].Samples = append(pendingData[nPending].Samples, prompb.Sample{
Value: d.value,
Timestamp: d.timestamp,
})
nPendingSamples++
case writeExemplar:
case false:
pendingData[nPending].Labels = labelsToLabelsProto(d.seriesLabels, pendingData[nPending].Labels)
pendingData[nPending].Exemplars = append(pendingData[nPending].Exemplars, d.exemplar)
pendingData[nPending].Exemplars = append(pendingData[nPending].Exemplars, prompb.Exemplar{
Labels: labelsToLabelsProto(d.exemplarLabels, nil),
Value: d.value,
Timestamp: d.timestamp,
})
nPendingExemplars++
}
}

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