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Merge pull request #1354 from prometheus/beorn7/storage 

Rework the way to communicate backpressure (AKA suspended ingestion)
This commit is contained in:
Björn Rabenstein 2016-02-01 15:10:13 +01:00
parent b555be85e2 ec08c9a391
commit 9ea3897ea7
11 changed files with 188 additions and 105 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
cmd/prometheus/config.go
View File

@ -107,7 +107,7 @@ func init() {
)
cfg.fs.IntVar(
&cfg.storage.MemoryChunks, "storage.local.memory-chunks", 1024*1024,
"How many chunks to keep in memory. While the size of a chunk is 1kiB, the total memory usage will be significantly higher than this value * 1kiB. Furthermore, for various reasons, more chunks might have to be kept in memory temporarily.",
"How many chunks to keep in memory. While the size of a chunk is 1kiB, the total memory usage will be significantly higher than this value * 1kiB. Furthermore, for various reasons, more chunks might have to be kept in memory temporarily. Sample ingestion will be throttled if the configured value is exceeded by more than 10%.",
)
cfg.fs.DurationVar(
&cfg.storage.PersistenceRetentionPeriod, "storage.local.retention", 15*24*time.Hour,
@ -115,7 +115,7 @@ func init() {
)
cfg.fs.IntVar(
&cfg.storage.MaxChunksToPersist, "storage.local.max-chunks-to-persist", 512*1024,
"How many chunks can be waiting for persistence before sample ingestion will stop. Many chunks waiting to be persisted will increase the checkpoint size.",
"How many chunks can be waiting for persistence before sample ingestion will be throttled. Many chunks waiting to be persisted will increase the checkpoint size.",
)
cfg.fs.DurationVar(
&cfg.storage.CheckpointInterval, "storage.local.checkpoint-interval", 5*time.Minute,

15
retrieval/helpers_test.go
View File

@ -14,8 +14,6 @@
package retrieval
import (
"time"
"github.com/prometheus/common/model"
"github.com/prometheus/prometheus/config"
@ -26,14 +24,13 @@ type nopAppender struct{}
func (a nopAppender) Append(*model.Sample) {
}
type slowAppender struct{}
func (a slowAppender) Append(*model.Sample) {
time.Sleep(time.Millisecond)
func (a nopAppender) NeedsThrottling() bool {
return false
}
type collectResultAppender struct {
result model.Samples
result model.Samples
throttled bool
}
func (a *collectResultAppender) Append(s *model.Sample) {
@ -45,6 +42,10 @@ func (a *collectResultAppender) Append(s *model.Sample) {
a.result = append(a.result, s)
}
func (a *collectResultAppender) NeedsThrottling() bool {
return a.throttled
}
// fakeTargetProvider implements a TargetProvider and allows manual injection
// of TargetGroups through the update channel.
type fakeTargetProvider struct {

89
retrieval/target.go
View File

@ -48,7 +48,7 @@ const (
)
var (
errIngestChannelFull = errors.New("ingestion channel full")
errSkippedScrape = errors.New("scrape skipped due to throttled ingestion")
targetIntervalLength = prometheus.NewSummaryVec(
prometheus.SummaryOpts{
@ -59,10 +59,19 @@ var (
},
[]string{interval},
)
targetSkippedScrapes = prometheus.NewCounterVec(
prometheus.CounterOpts{
Namespace: namespace,
Name: "target_skipped_scrapes_total",
Help: "Total number of scrapes that were skipped because the metric storage was throttled.",
},
[]string{interval},
)
)
func init() {
prometheus.MustRegister(targetIntervalLength)
prometheus.MustRegister(targetSkippedScrapes)
}
// TargetHealth describes the health state of a target.
@ -151,8 +160,6 @@ type Target struct {
scraperStopping chan struct{}
// Closing scraperStopped signals that scraping has been stopped.
scraperStopped chan struct{}
// Channel to buffer ingested samples.
ingestedSamples chan model.Vector
// Mutex protects the members below.
sync.RWMutex
@ -166,8 +173,6 @@ type Target struct {
baseLabels model.LabelSet
// Internal labels, such as scheme.
internalLabels model.LabelSet
// What is the deadline for the HTTP or HTTPS against this endpoint.
deadline time.Duration
// The time between two scrapes.
scrapeInterval time.Duration
// Whether the target's labels have precedence over the base labels
@ -237,7 +242,6 @@ func (t *Target) Update(cfg *config.ScrapeConfig, baseLabels, metaLabels model.L
t.url.RawQuery = params.Encode()
t.scrapeInterval = time.Duration(cfg.ScrapeInterval)
t.deadline = time.Duration(cfg.ScrapeTimeout)
t.honorLabels = cfg.HonorLabels
t.metaLabels = metaLabels
@ -361,6 +365,11 @@ func (t *Target) RunScraper(sampleAppender storage.SampleAppender) {
targetIntervalLength.WithLabelValues(intervalStr).Observe(
float64(took) / float64(time.Second), // Sub-second precision.
)
if sampleAppender.NeedsThrottling() {
targetSkippedScrapes.WithLabelValues(intervalStr).Inc()
t.status.setLastError(errSkippedScrape)
continue
}
t.scrape(sampleAppender)
}
}
@ -377,26 +386,6 @@ func (t *Target) StopScraper() {
log.Debugf("Scraper for target %v stopped.", t)
}
func (t *Target) ingest(s model.Vector) error {
t.RLock()
deadline := t.deadline
t.RUnlock()
// Since the regular case is that ingestedSamples is ready to receive,
// first try without setting a timeout so that we don't need to allocate
// a timer most of the time.
select {
case t.ingestedSamples <- s:
return nil
default:
select {
case t.ingestedSamples <- s:
return nil
case <-time.After(deadline / 10):
return errIngestChannelFull
}
}
}
const acceptHeader = `application/vnd.google.protobuf;proto=io.prometheus.client.MetricFamily;encoding=delimited;q=0.7,text/plain;version=0.0.4;q=0.3,application/json;schema="prometheus/telemetry";version=0.0.2;q=0.2,*/*;q=0.1`
func (t *Target) scrape(appender storage.SampleAppender) (err error) {
@ -414,20 +403,20 @@ func (t *Target) scrape(appender storage.SampleAppender) (err error) {
// so the relabeling rules are applied to the correct label set.
if len(t.metricRelabelConfigs) > 0 {
appender = relabelAppender{
app: appender,
relabelings: t.metricRelabelConfigs,
SampleAppender: appender,
relabelings: t.metricRelabelConfigs,
}
}
if t.honorLabels {
appender = honorLabelsAppender{
app: appender,
labels: baseLabels,
SampleAppender: appender,
labels: baseLabels,
}
} else {
appender = ruleLabelsAppender{
app: appender,
labels: baseLabels,
SampleAppender: appender,
labels: baseLabels,
}
}
@ -460,27 +449,11 @@ func (t *Target) scrape(appender storage.SampleAppender) (err error) {
},
}
t.ingestedSamples = make(chan model.Vector, ingestedSamplesCap)
go func() {
for {
// TODO(fabxc): Change the SampleAppender interface to return an error
// so we can proceed based on the status and don't leak goroutines trying
// to append a single sample after dropping all the other ones.
//
// This will also allow use to reuse this vector and save allocations.
var samples model.Vector
if err = sdec.Decode(&samples); err != nil {
break
}
if err = t.ingest(samples); err != nil {
break
}
var samples model.Vector
for {
if err = sdec.Decode(&samples); err != nil {
break
}
close(t.ingestedSamples)
}()
for samples := range t.ingestedSamples {
for _, s := range samples {
appender.Append(s)
}
@ -495,7 +468,7 @@ func (t *Target) scrape(appender storage.SampleAppender) (err error) {
// Merges the ingested sample's metric with the label set. On a collision the
// value of the ingested label is stored in a label prefixed with 'exported_'.
type ruleLabelsAppender struct {
app storage.SampleAppender
storage.SampleAppender
labels model.LabelSet
}
@ -507,11 +480,11 @@ func (app ruleLabelsAppender) Append(s *model.Sample) {
s.Metric[ln] = lv
}
app.app.Append(s)
app.SampleAppender.Append(s)
}
type honorLabelsAppender struct {
app storage.SampleAppender
storage.SampleAppender
labels model.LabelSet
}
@ -525,13 +498,13 @@ func (app honorLabelsAppender) Append(s *model.Sample) {
}
}
app.app.Append(s)
app.SampleAppender.Append(s)
}
// Applies a set of relabel configurations to the sample's metric
// before actually appending it.
type relabelAppender struct {
app storage.SampleAppender
storage.SampleAppender
relabelings []*config.RelabelConfig
}
@ -547,7 +520,7 @@ func (app relabelAppender) Append(s *model.Sample) {
}
s.Metric = model.Metric(labels)
app.app.Append(s)
app.SampleAppender.Append(s)
}
// URL returns a copy of the target's URL.

21
retrieval/target_test.go
View File

@ -139,12 +139,12 @@ func TestTargetScrapeUpdatesState(t *testing.T) {
}
}
func TestTargetScrapeWithFullChannel(t *testing.T) {
func TestTargetScrapeWithThrottledStorage(t *testing.T) {
server := httptest.NewServer(
http.HandlerFunc(
func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", `text/plain; version=0.0.4`)
for i := 0; i < 2*ingestedSamplesCap; i++ {
for i := 0; i < 10; i++ {
w.Write([]byte(
fmt.Sprintf("test_metric_%d{foo=\"bar\"} 123.456\n", i),
))
@ -155,15 +155,21 @@ func TestTargetScrapeWithFullChannel(t *testing.T) {
defer server.Close()
testTarget := newTestTarget(server.URL, time.Second, model.LabelSet{"dings": "bums"})
// Affects full channel but not HTTP fetch
testTarget.deadline = 0
testTarget.scrape(slowAppender{})
go testTarget.RunScraper(&collectResultAppender{throttled: true})
// Enough time for a scrape to happen.
time.Sleep(20 * time.Millisecond)
testTarget.StopScraper()
// Wait for it to take effect.
time.Sleep(20 * time.Millisecond)
if testTarget.status.Health() != HealthBad {
t.Errorf("Expected target state %v, actual: %v", HealthBad, testTarget.status.Health())
}
if testTarget.status.LastError() != errIngestChannelFull {
t.Errorf("Expected target error %q, actual: %q", errIngestChannelFull, testTarget.status.LastError())
if testTarget.status.LastError() != errSkippedScrape {
t.Errorf("Expected target error %q, actual: %q", errSkippedScrape, testTarget.status.LastError())
}
}
@ -450,7 +456,6 @@ func newTestTarget(targetURL string, deadline time.Duration, baseLabels model.La
Host: strings.TrimLeft(targetURL, "http://"),
Path: "/metrics",
},
deadline: deadline,
status: &TargetStatus{},
scrapeInterval: 1 * time.Millisecond,
httpClient: c,

1
retrieval/targetmanager.go
View File

@ -165,6 +165,7 @@ func (tm *TargetManager) Run() {
})
tm.running = true
log.Info("Target manager started.")
}
// handleUpdates receives target group updates and handles them in the

18
rules/manager.go
View File

@ -66,9 +66,19 @@ var (
iterationDuration = prometheus.NewSummary(prometheus.SummaryOpts{
Namespace: namespace,
Name: "evaluator_duration_seconds",
Help: "The duration for all evaluations to execute.",
Help: "The duration of rule group evaluations.",
Objectives: map[float64]float64{0.01: 0.001, 0.05: 0.005, 0.5: 0.05, 0.90: 0.01, 0.99: 0.001},
})
iterationsSkipped = prometheus.NewCounter(prometheus.CounterOpts{
Namespace: namespace,
Name: "evaluator_iterations_skipped_total",
Help: "The total number of rule group evaluations skipped due to throttled metric storage.",
})
iterationsScheduled = prometheus.NewCounter(prometheus.CounterOpts{
Namespace: namespace,
Name: "evaluator_iterations_total",
Help: "The total number of scheduled rule group evaluations, whether skipped or executed.",
})
)
func init() {
@ -78,6 +88,7 @@ func init() {
evalFailures.WithLabelValues(string(ruleTypeRecording))
prometheus.MustRegister(iterationDuration)
prometheus.MustRegister(iterationsSkipped)
prometheus.MustRegister(evalFailures)
prometheus.MustRegister(evalDuration)
}
@ -133,6 +144,11 @@ func (g *Group) run() {
}
iter := func() {
iterationsScheduled.Inc()
if g.opts.SampleAppender.NeedsThrottling() {
iterationsSkipped.Inc()
return
}
start := time.Now()
g.eval()

3
storage/local/interface.go
View File

@ -34,6 +34,9 @@ type Storage interface {
// from the provided Sample as those labels are considered equivalent to
// a label not present at all.
Append(*model.Sample)
// NeedsThrottling returns true if the Storage has too many chunks in memory
// already or has too many chunks waiting for persistence.
NeedsThrottling() bool
// NewPreloader returns a new Preloader which allows preloading and pinning
// series data into memory for use within a query.
NewPreloader() Preloader

96
storage/local/storage.go
View File

@ -47,9 +47,9 @@ const (
persintenceUrgencyScoreForLeavingRushedMode = 0.7
// This factor times -storage.local.memory-chunks is the number of
// memory chunks we tolerate before suspending ingestion (TODO!). It is
// also a basis for calculating the persistenceUrgencyScore.
toleranceFactorForMemChunks = 1.1
// memory chunks we tolerate before throttling the storage. It is also a
// basis for calculating the persistenceUrgencyScore.
toleranceFactorMemChunks = 1.1
// This factor times -storage.local.max-chunks-to-persist is the minimum
// required number of chunks waiting for persistence before the number
// of chunks in memory may influence the persistenceUrgencyScore. (In
@ -121,9 +121,10 @@ type syncStrategy func() bool
type memorySeriesStorage struct {
// numChunksToPersist has to be aligned for atomic operations.
numChunksToPersist int64 // The number of chunks waiting for persistence.
maxChunksToPersist int // If numChunksToPersist reaches this threshold, ingestion will stall.
rushed bool // Whether the storage is in rushed mode.
numChunksToPersist int64 // The number of chunks waiting for persistence.
maxChunksToPersist int // If numChunksToPersist reaches this threshold, ingestion will be throttled.
rushed bool // Whether the storage is in rushed mode.
throttled chan struct{} // This chan is sent to whenever NeedsThrottling() returns true (for logging).
fpLocker *fingerprintLocker
fpToSeries *seriesMap
@ -180,6 +181,7 @@ func NewMemorySeriesStorage(o *MemorySeriesStorageOptions) Storage {
loopStopping: make(chan struct{}),
loopStopped: make(chan struct{}),
throttled: make(chan struct{}, 1),
maxMemoryChunks: o.MemoryChunks,
dropAfter: o.PersistenceRetentionPeriod,
checkpointInterval: o.CheckpointInterval,
@ -306,6 +308,7 @@ func (s *memorySeriesStorage) Start() (err error) {
}
go s.handleEvictList()
go s.logThrottling()
go s.loop()
return nil
@ -571,16 +574,6 @@ func (s *memorySeriesStorage) Append(sample *model.Sample) {
delete(sample.Metric, ln)
}
}
if s.getNumChunksToPersist() >= s.maxChunksToPersist {
log.Warnf(
"%d chunks waiting for persistence, sample ingestion suspended.",
s.getNumChunksToPersist(),
)
for s.getNumChunksToPersist() >= s.maxChunksToPersist {
time.Sleep(time.Second)
}
log.Warn("Sample ingestion resumed.")
}
rawFP := sample.Metric.FastFingerprint()
s.fpLocker.Lock(rawFP)
fp, err := s.mapper.mapFP(rawFP, sample.Metric)
@ -616,6 +609,57 @@ func (s *memorySeriesStorage) Append(sample *model.Sample) {
s.incNumChunksToPersist(completedChunksCount)
}
// NeedsThrottling implements Storage.
func (s *memorySeriesStorage) NeedsThrottling() bool {
if s.getNumChunksToPersist() > s.maxChunksToPersist ||
float64(atomic.LoadInt64(&numMemChunks)) > float64(s.maxMemoryChunks)*toleranceFactorMemChunks {
select {
case s.throttled <- struct{}{}:
default: // Do nothing, signal aready pending.
}
return true
}
return false
}
// logThrottling handles logging of throttled events and has to be started as a
// goroutine. It stops once s.loopStopping is closed.
//
// Logging strategy: Whenever Throttle() is called and returns true, an signal
// is sent to s.throttled. If that happens for the first time, an Error is
// logged that the storage is now throttled. As long as signals continues to be
// sent via s.throttled at least once per minute, nothing else is logged. Once
// no signal has arrived for a minute, an Info is logged that the storage is not
// throttled anymore. This resets things to the initial state, i.e. once a
// signal arrives again, the Error will be logged again.
func (s *memorySeriesStorage) logThrottling() {
timer := time.NewTimer(time.Minute)
timer.Stop()
for {
select {
case <-s.throttled:
if !timer.Reset(time.Minute) {
log.
With("chunksToPersist", s.getNumChunksToPersist()).
With("maxChunksToPersist", s.maxChunksToPersist).
With("memoryChunks", atomic.LoadInt64(&numMemChunks)).
With("maxToleratedMemChunks", int(float64(s.maxMemoryChunks)*toleranceFactorMemChunks)).
Error("Storage needs throttling. Scrapes and rule evaluations will be skipped.")
}
case <-timer.C:
log.
With("chunksToPersist", s.getNumChunksToPersist()).
With("maxChunksToPersist", s.maxChunksToPersist).
With("memoryChunks", atomic.LoadInt64(&numMemChunks)).
With("maxToleratedMemChunks", int(float64(s.maxMemoryChunks)*toleranceFactorMemChunks)).
Info("Storage does not need throttling anymore.")
case <-s.loopStopping:
return
}
}
}
func (s *memorySeriesStorage) getOrCreateSeries(fp model.Fingerprint, m model.Metric) *memorySeries {
series, ok := s.fpToSeries.get(fp)
if !ok {
@ -1210,7 +1254,7 @@ func (s *memorySeriesStorage) calculatePersistenceUrgencyScore() float64 {
if chunksToPersist > maxChunksToPersist*factorMinChunksToPersist {
score = math.Max(
score,
(memChunks/maxMemChunks-1)/(toleranceFactorForMemChunks-1),
(memChunks/maxMemChunks-1)/(toleranceFactorMemChunks-1),
)
}
if score > 1 {
@ -1230,11 +1274,11 @@ func (s *memorySeriesStorage) calculatePersistenceUrgencyScore() float64 {
s.rushedMode.Set(0)
log.
With("urgencyScore", score).
With("chunksToPersist", chunksToPersist).
With("maxChunksToPersist", maxChunksToPersist).
With("memoryChunks", memChunks).
With("maxMemoryChunks", maxMemChunks).
Warn("Storage has left rushed mode.")
With("chunksToPersist", int(chunksToPersist)).
With("maxChunksToPersist", int(maxChunksToPersist)).
With("memoryChunks", int(memChunks)).
With("maxMemoryChunks", int(maxMemChunks)).
Info("Storage has left rushed mode.")
return score
}
if score > persintenceUrgencyScoreForEnteringRushedMode {
@ -1243,10 +1287,10 @@ func (s *memorySeriesStorage) calculatePersistenceUrgencyScore() float64 {
s.rushedMode.Set(1)
log.
With("urgencyScore", score).
With("chunksToPersist", chunksToPersist).
With("maxChunksToPersist", maxChunksToPersist).
With("memoryChunks", memChunks).
With("maxMemoryChunks", maxMemChunks).
With("chunksToPersist", int(chunksToPersist)).
With("maxChunksToPersist", int(maxChunksToPersist)).
With("memoryChunks", int(memChunks)).
With("maxMemoryChunks", int(maxMemChunks)).
Warn("Storage has entered rushed mode.")
return 1
}

3
storage/remote/queue_manager.go
View File

@ -132,8 +132,7 @@ func NewStorageQueueManager(tsdb StorageClient, queueCapacity int) *StorageQueue
}
// Append queues a sample to be sent to the remote storage. It drops the
// sample on the floor if the queue is full. It implements
// storage.SampleAppender.
// sample on the floor if the queue is full.
func (t *StorageQueueManager) Append(s *model.Sample) {
select {
case t.queue <- s:

7
storage/remote/remote.go
View File

@ -124,6 +124,13 @@ func (s *Storage) Append(smpl *model.Sample) {
}
}
// NeedsThrottling implements storage.SampleAppender. It will always return
// false as a remote storage drops samples on the floor if backlogging instead
// of asking for throttling.
func (s *Storage) NeedsThrottling() bool {
return false
}
// Describe implements prometheus.Collector.
func (s *Storage) Describe(ch chan<- *prometheus.Desc) {
for _, q := range s.queues {

36
storage/storage.go
View File

@ -18,9 +18,32 @@ import (
)
// SampleAppender is the interface to append samples to both, local and remote
// storage.
// storage. All methods are goroutine-safe.
type SampleAppender interface {
// Append appends a sample to the underlying storage. Depending on the
// storage implementation, there are different guarantees for the fate
// of the sample after Append has returned. Remote storage
// implementation will simply drop samples if they cannot keep up with
// sending samples. Local storage implementations will only drop metrics
// upon unrecoverable errors. Reporting any errors is done via metrics
// and logs and not the concern of the caller.
Append(*model.Sample)
// NeedsThrottling returns true if the underlying storage wishes to not
// receive any more samples. Append will still work but might lead to
// undue resource usage. It is recommended to call NeedsThrottling once
// before an upcoming batch of Append calls (e.g. a full scrape of a
// target or the evaluation of a rule group) and only proceed with the
// batch if NeedsThrottling returns false. In that way, the result of a
// scrape or of an evaluation of a rule group will always be appended
// completely or not at all, and the work of scraping or evaluation will
// not be performed in vain. Also, a call of NeedsThrottling is
// potentially expensive, so limiting the number of calls is reasonable.
//
// Only SampleAppenders for which it is considered critical to receive
// each and every sample should ever return true. SampleAppenders that
// tolerate not receiving all samples should always return false and
// instead drop samples as they see fit to avoid overload.
NeedsThrottling() bool
}
// Fanout is a SampleAppender that appends every sample to each SampleAppender
@ -35,3 +58,14 @@ func (f Fanout) Append(s *model.Sample) {
a.Append(s)
}
}
// NeedsThrottling returns true if at least one of the SampleAppenders in the
// Fanout slice is throttled.
func (f Fanout) NeedsThrottling() bool {
for _, a := range f {
if a.NeedsThrottling() {
return true
}
}
return false
}