func (s *memorySeriesStorage) preloadChunksForRange(
fp clientmodel.Fingerprint,
from clientmodel.Timestamp, through clientmodel.Timestamp,
stalenessDelta time.Duration,
) ([]*chunkDesc, error) {
s.fpLocker.Lock(fp)
defer s.fpLocker.Unlock(fp)
series, ok := s.fpToSeries.get(fp)
if !ok {
has, first, last, err := s.persistence.hasArchivedMetric(fp)
if err != nil {
return nil, err
}
if !has {
s.invalidPreloadRequestsCount.Inc()
return nil, nil
}
if from.Add(-stalenessDelta).Before(last) && through.Add(stalenessDelta).After(first) {
metric, err := s.persistence.getArchivedMetric(fp)
if err != nil {
return nil, err
}
series = s.getOrCreateSeries(fp, metric)
} else {
return nil, nil
}
}
return series.preloadChunksForRange(from, through, fp, s)
}
func prepareInstantQuery(node Node, timestamp clientmodel.Timestamp, storage local.Storage, queryStats *stats.TimerGroup) (local.Preloader, error) {
analyzeTimer := queryStats.GetTimer(stats.QueryAnalysisTime).Start()
analyzer := NewQueryAnalyzer(storage)
Walk(analyzer, node)
analyzeTimer.Stop()
// TODO: Preloading should time out after a given duration.
preloadTimer := queryStats.GetTimer(stats.PreloadTime).Start()
p := storage.NewPreloader()
for fp, rangeDuration := range analyzer.FullRanges {
if err := p.PreloadRange(fp, timestamp.Add(-rangeDuration), timestamp, *stalenessDelta); err != nil {
p.Close()
return nil, err
}
}
for fp := range analyzer.IntervalRanges {
if err := p.PreloadRange(fp, timestamp, timestamp, *stalenessDelta); err != nil {
p.Close()
return nil, err
}
}
preloadTimer.Stop()
ii := &iteratorInitializer{
storage: storage,
}
Walk(ii, node)
return p, nil
}
func viewAdapterForRangeQuery(node Node, start clientmodel.Timestamp, end clientmodel.Timestamp, interval time.Duration, storage metric.PreloadingPersistence, queryStats *stats.TimerGroup) (*viewAdapter, error) {
analyzeTimer := queryStats.GetTimer(stats.QueryAnalysisTime).Start()
analyzer := NewQueryAnalyzer(storage)
analyzer.AnalyzeQueries(node)
analyzeTimer.Stop()
requestBuildTimer := queryStats.GetTimer(stats.ViewRequestBuildTime).Start()
viewBuilder := storage.NewViewRequestBuilder()
for fingerprint, rangeDuration := range analyzer.FullRanges {
if interval < rangeDuration {
viewBuilder.GetMetricRange(&fingerprint, start.Add(-rangeDuration), end)
} else {
viewBuilder.GetMetricRangeAtInterval(&fingerprint, start.Add(-rangeDuration), end, interval, rangeDuration)
}
}
for fingerprint := range analyzer.IntervalRanges {
viewBuilder.GetMetricAtInterval(&fingerprint, start, end, interval)
}
requestBuildTimer.Stop()
buildTimer := queryStats.GetTimer(stats.InnerViewBuildingTime).Start()
view, err := viewBuilder.Execute(time.Duration(60)*time.Second, queryStats)
buildTimer.Stop()
if err != nil {
return nil, err
}
return NewViewAdapter(view, storage, queryStats), nil
}
func (t *TieredStorage) seriesTooOld(f *clientmodel.Fingerprint, i clientmodel.Timestamp) (bool, error) {
// BUG(julius): Make this configurable by query layer.
i = i.Add(-stalenessLimit)
wm, cacheHit, _ := t.wmCache.Get(f)
if !cacheHit {
if t.memoryArena.HasFingerprint(f) {
samples := t.memoryArena.CloneSamples(f)
if len(samples) > 0 {
newest := samples[len(samples)-1].Timestamp
t.wmCache.Put(f, &watermarks{High: newest})
return newest.Before(i), nil
}
}
highTime, diskHit, err := t.DiskStorage.MetricHighWatermarks.Get(f)
if err != nil {
return false, err
}
if diskHit {
t.wmCache.Put(f, &watermarks{High: highTime})
return highTime.Before(i), nil
}
t.wmCache.Put(f, &watermarks{})
return true, nil
}
return wm.High.Before(i), nil
}
// eval evaluates the rule expression and then creates pending alerts and fires
// or removes previously pending alerts accordingly.
func (rule *AlertingRule) eval(timestamp clientmodel.Timestamp, engine *promql.Engine) (promql.Vector, error) {
query, err := engine.NewInstantQuery(rule.vector.String(), timestamp)
if err != nil {
return nil, err
}
exprResult, err := query.Exec().Vector()
if err != nil {
return nil, err
}
rule.mutex.Lock()
defer rule.mutex.Unlock()
// Create pending alerts for any new vector elements in the alert expression
// or update the expression value for existing elements.
resultFPs := map[clientmodel.Fingerprint]struct{}{}
for _, sample := range exprResult {
fp := sample.Metric.Metric.Fingerprint()
resultFPs[fp] = struct{}{}
if alert, ok := rule.activeAlerts[fp]; !ok {
labels := clientmodel.LabelSet{}
labels.MergeFromMetric(sample.Metric.Metric)
labels = labels.Merge(rule.labels)
if _, ok := labels[clientmodel.MetricNameLabel]; ok {
delete(labels, clientmodel.MetricNameLabel)
}
rule.activeAlerts[fp] = &Alert{
Name: rule.name,
Labels: labels,
State: StatePending,
ActiveSince: timestamp,
Value: sample.Value,
}
} else {
alert.Value = sample.Value
}
}
vector := promql.Vector{}
// Check if any pending alerts should be removed or fire now. Write out alert timeseries.
for fp, activeAlert := range rule.activeAlerts {
if _, ok := resultFPs[fp]; !ok {
vector = append(vector, activeAlert.sample(timestamp, 0))
delete(rule.activeAlerts, fp)
continue
}
if activeAlert.State == StatePending && timestamp.Sub(activeAlert.ActiveSince) >= rule.holdDuration {
vector = append(vector, activeAlert.sample(timestamp, 0))
activeAlert.State = StateFiring
}
vector = append(vector, activeAlert.sample(timestamp, 1))
}
return vector, nil
}
// Update implements CurationRemarker.
func (w *LevelDBCurationRemarker) Update(pair *curationKey, t clientmodel.Timestamp) error {
k := &dto.CurationKey{}
pair.dump(k)
return w.LevelDBPersistence.Put(k, &dto.CurationValue{
LastCompletionTimestamp: proto.Int64(t.Unix()),
})
}
func (rule *AlertingRule) Eval(timestamp clientmodel.Timestamp, storage metric.PreloadingPersistence) (ast.Vector, error) {
// Get the raw value of the rule expression.
exprResult, err := rule.EvalRaw(timestamp, storage)
if err != nil {
return nil, err
}
rule.mutex.Lock()
defer rule.mutex.Unlock()
// Create pending alerts for any new vector elements in the alert expression
// or update the expression value for existing elements.
resultFingerprints := utility.Set{}
for _, sample := range exprResult {
fp := new(clientmodel.Fingerprint)
fp.LoadFromMetric(sample.Metric)
resultFingerprints.Add(*fp)
if alert, ok := rule.activeAlerts[*fp]; !ok {
labels := clientmodel.LabelSet{}
labels.MergeFromMetric(sample.Metric)
labels = labels.Merge(rule.Labels)
if _, ok := labels[clientmodel.MetricNameLabel]; ok {
delete(labels, clientmodel.MetricNameLabel)
}
rule.activeAlerts[*fp] = &Alert{
Name: rule.name,
Labels: labels,
State: PENDING,
ActiveSince: timestamp,
Value: sample.Value,
}
} else {
alert.Value = sample.Value
}
}
vector := ast.Vector{}
// Check if any pending alerts should be removed or fire now. Write out alert timeseries.
for fp, activeAlert := range rule.activeAlerts {
if !resultFingerprints.Has(fp) {
vector = append(vector, activeAlert.sample(timestamp, 0))
delete(rule.activeAlerts, fp)
continue
}
if activeAlert.State == PENDING && timestamp.Sub(activeAlert.ActiveSince) >= rule.holdDuration {
vector = append(vector, activeAlert.sample(timestamp, 0))
activeAlert.State = FIRING
}
vector = append(vector, activeAlert.sample(timestamp, 1))
}
return vector, nil
}
// MayContain indicates whether the given SampleKey could potentially contain a
// value at the provided time. Even if true is emitted, that does not mean a
// satisfactory value, in fact, exists.
func (s *SampleKey) MayContain(t clientmodel.Timestamp) bool {
switch {
case t.Before(s.FirstTimestamp):
return false
case t.After(s.LastTimestamp):
return false
default:
return true
}
}
// EvalBoundaries implements the MatrixNode interface and returns the
// boundary values of the selector.
func (node *MatrixSelector) EvalBoundaries(timestamp clientmodel.Timestamp, view *viewAdapter) Matrix {
interval := &metric.Interval{
OldestInclusive: timestamp.Add(-node.interval),
NewestInclusive: timestamp,
}
values, err := view.GetBoundaryValues(node.fingerprints, interval)
if err != nil {
glog.Error("Unable to get boundary values for vector interval: ", err)
return Matrix{}
}
return values
}
// InsideInterval indicates whether a given range of sorted values could contain
// a value for a given time.
func (v Values) InsideInterval(t clientmodel.Timestamp) bool {
switch {
case v.Len() == 0:
return false
case t.Before(v[0].Timestamp):
return false
case !v[v.Len()-1].Timestamp.Before(t):
return false
default:
return true
}
}
// interpolateSamples interpolates a value at a target time between two
// provided sample pairs.
func interpolateSamples(first, second *metric.SamplePair, timestamp clientmodel.Timestamp) *metric.SamplePair {
dv := second.Value - first.Value
dt := second.Timestamp.Sub(first.Timestamp)
dDt := dv / clientmodel.SampleValue(dt)
offset := clientmodel.SampleValue(timestamp.Sub(first.Timestamp))
return &metric.SamplePair{
Value: first.Value + (offset * dDt),
Timestamp: timestamp,
}
}
func buildValues(firstValue clientmodel.SampleValue, from, to clientmodel.Timestamp, interval time.Duration) (v metric.Values) {
for from.Before(to) {
v = append(v, metric.SamplePair{
Value: firstValue,
Timestamp: from,
})
from = from.Add(interval)
firstValue++
}
return
}
func (l *valueAtIntervalAlongRangeList) Get(fp *clientmodel.Fingerprint, from, through clientmodel.Timestamp, interval, rangeDuration time.Duration) *getValueRangeAtIntervalOp {
var op *getValueRangeAtIntervalOp
v, ok := l.l.Get()
if ok {
op = v.(*getValueRangeAtIntervalOp)
} else {
op = &getValueRangeAtIntervalOp{}
}
op.fp = *fp
op.current = from
op.rangeThrough = from.Add(rangeDuration)
op.rangeDuration = rangeDuration
op.interval = interval
op.through = through
return op
}
func buildSamples(from, to clientmodel.Timestamp, interval time.Duration, m clientmodel.Metric) (v clientmodel.Samples) {
i := clientmodel.SampleValue(0)
for from.Before(to) {
v = append(v, &clientmodel.Sample{
Metric: m,
Value: i,
Timestamp: from,
})
from = from.Add(interval)
i++
}
return
}
func generateTestSamples(endTime clientmodel.Timestamp, numTs int, samplesPerTs int, interval time.Duration) clientmodel.Samples {
samples := make(clientmodel.Samples, 0, numTs*samplesPerTs)
startTime := endTime.Add(-interval * time.Duration(samplesPerTs-1))
for ts := 0; ts < numTs; ts++ {
metric := clientmodel.Metric{}
metric[clientmodel.MetricNameLabel] = clientmodel.LabelValue(fmt.Sprintf("metric_%d", ts))
for i := 0; i < samplesPerTs; i++ {
sample := &clientmodel.Sample{
Metric: metric,
Value: clientmodel.SampleValue(ts + 1000*i),
Timestamp: startTime.Add(interval * time.Duration(i)),
}
samples = append(samples, sample)
}
}
sort.Sort(samples)
return samples
}
func prepareRangeQuery(node Node, start clientmodel.Timestamp, end clientmodel.Timestamp, interval time.Duration, storage local.Storage, queryStats *stats.TimerGroup) (local.Preloader, error) {
analyzeTimer := queryStats.GetTimer(stats.QueryAnalysisTime).Start()
analyzer := NewQueryAnalyzer(storage)
Walk(analyzer, node)
analyzeTimer.Stop()
// TODO: Preloading should time out after a given duration.
preloadTimer := queryStats.GetTimer(stats.PreloadTime).Start()
p := storage.NewPreloader()
for fp, rangeDuration := range analyzer.FullRanges {
if err := p.PreloadRange(fp, start.Add(-rangeDuration), end, *stalenessDelta); err != nil {
p.Close()
return nil, err
}
/*
if interval < rangeDuration {
if err := p.GetMetricRange(fp, end, end.Sub(start)+rangeDuration); err != nil {
p.Close()
return nil, err
}
} else {
if err := p.GetMetricRangeAtInterval(fp, start, end, interval, rangeDuration); err != nil {
p.Close()
return nil, err
}
}
*/
}
for fp := range analyzer.IntervalRanges {
if err := p.PreloadRange(fp, start, end, *stalenessDelta); err != nil {
p.Close()
return nil, err
}
}
preloadTimer.Stop()
ii := &iteratorInitializer{
storage: storage,
}
Walk(ii, node)
return p, nil
}
// preloadChunksForRange loads chunks for the given range from the persistence.
// The caller must have locked the fingerprint of the series.
func (s *memorySeries) preloadChunksForRange(
from clientmodel.Timestamp, through clientmodel.Timestamp,
fp clientmodel.Fingerprint, mss *memorySeriesStorage,
) ([]*chunkDesc, error) {
firstChunkDescTime := clientmodel.Latest
if len(s.chunkDescs) > 0 {
firstChunkDescTime = s.chunkDescs[0].firstTime()
}
if s.chunkDescsOffset != 0 && from.Before(firstChunkDescTime) {
cds, err := mss.loadChunkDescs(fp, firstChunkDescTime)
if err != nil {
return nil, err
}
s.chunkDescs = append(cds, s.chunkDescs...)
s.chunkDescsOffset = 0
s.persistWatermark += len(cds)
}
if len(s.chunkDescs) == 0 {
return nil, nil
}
// Find first chunk with start time after "from".
fromIdx := sort.Search(len(s.chunkDescs), func(i int) bool {
return s.chunkDescs[i].firstTime().After(from)
})
// Find first chunk with start time after "through".
throughIdx := sort.Search(len(s.chunkDescs), func(i int) bool {
return s.chunkDescs[i].firstTime().After(through)
})
if fromIdx > 0 {
fromIdx--
}
if throughIdx == len(s.chunkDescs) {
throughIdx--
}
pinIndexes := make([]int, 0, throughIdx-fromIdx+1)
for i := fromIdx; i <= throughIdx; i++ {
pinIndexes = append(pinIndexes, i)
}
return s.preloadChunks(pinIndexes, fp, mss)
}
// ValueAtTime implements SeriesIterator.
func (it *memorySeriesIterator) ValueAtTime(t clientmodel.Timestamp) metric.Values {
// The most common case. We are iterating through a chunk.
if it.chunkIt != nil && it.chunkIt.contains(t) {
return it.chunkIt.valueAtTime(t)
}
if len(it.chunks) == 0 {
return nil
}
// Before or exactly on the first sample of the series.
it.chunkIt = it.chunkIterator(0)
ts := it.chunkIt.timestampAtIndex(0)
if !t.After(ts) {
// return first value of first chunk
return metric.Values{metric.SamplePair{
Timestamp: ts,
Value: it.chunkIt.sampleValueAtIndex(0),
}}
}
// After or exactly on the last sample of the series.
it.chunkIt = it.chunkIterator(len(it.chunks) - 1)
ts = it.chunkIt.lastTimestamp()
if !t.Before(ts) {
// return last value of last chunk
return metric.Values{metric.SamplePair{
Timestamp: ts,
Value: it.chunkIt.sampleValueAtIndex(it.chunkIt.length() - 1),
}}
}
// Find last chunk where firstTime() is before or equal to t.
l := len(it.chunks) - 1
i := sort.Search(len(it.chunks), func(i int) bool {
return !it.chunks[l-i].firstTime().After(t)
})
if i == len(it.chunks) {
panic("out of bounds")
}
it.chunkIt = it.chunkIterator(l - i)
ts = it.chunkIt.lastTimestamp()
if t.After(ts) {
// We ended up between two chunks.
sp1 := metric.SamplePair{
Timestamp: ts,
Value: it.chunkIt.sampleValueAtIndex(it.chunkIt.length() - 1),
}
it.chunkIt = it.chunkIterator(l - i + 1)
return metric.Values{
sp1,
metric.SamplePair{
Timestamp: it.chunkIt.timestampAtIndex(0),
Value: it.chunkIt.sampleValueAtIndex(0),
},
}
}
return it.chunkIt.valueAtTime(t)
}
// EvalBoundaries implements the MatrixNode interface and returns the
// boundary values of the selector.
func (node *MatrixSelector) EvalBoundaries(timestamp clientmodel.Timestamp) Matrix {
interval := &metric.Interval{
OldestInclusive: timestamp.Add(-node.interval),
NewestInclusive: timestamp,
}
//// timer := v.stats.GetTimer(stats.GetBoundaryValuesTime).Start()
sampleStreams := []SampleStream{}
for fp, it := range node.iterators {
samplePairs := it.GetBoundaryValues(*interval)
if len(samplePairs) == 0 {
continue
}
sampleStream := SampleStream{
Metric: node.metrics[fp],
Values: samplePairs,
}
sampleStreams = append(sampleStreams, sampleStream)
}
//// timer.Stop()
return sampleStreams
}
// GetValueAtTime implements SeriesIterator.
func (it *memorySeriesIterator) GetValueAtTime(t clientmodel.Timestamp) metric.Values {
it.lock()
defer it.unlock()
// The most common case. We are iterating through a chunk.
if it.chunkIt != nil && it.chunkIt.contains(t) {
return it.chunkIt.getValueAtTime(t)
}
it.chunkIt = nil
if len(it.chunks) == 0 {
return nil
}
// Before or exactly on the first sample of the series.
if !t.After(it.chunks[0].firstTime()) {
// return first value of first chunk
return it.chunks[0].newIterator().getValueAtTime(t)
}
// After or exactly on the last sample of the series.
if !t.Before(it.chunks[len(it.chunks)-1].lastTime()) {
// return last value of last chunk
return it.chunks[len(it.chunks)-1].newIterator().getValueAtTime(t)
}
// Find first chunk where lastTime() is after or equal to t.
i := sort.Search(len(it.chunks), func(i int) bool {
return !it.chunks[i].lastTime().Before(t)
})
if i == len(it.chunks) {
panic("out of bounds")
}
if t.Before(it.chunks[i].firstTime()) {
// We ended up between two chunks.
return metric.Values{
it.chunks[i-1].newIterator().getValueAtTime(t)[0],
it.chunks[i].newIterator().getValueAtTime(t)[0],
}
}
// We ended up in the middle of a chunk. We might stay there for a while,
// so save it as the current chunk iterator.
it.chunkIt = it.chunks[i].newIterator()
return it.chunkIt.getValueAtTime(t)
}
// contains implements chunkIterator.
func (it *deltaEncodedChunkIterator) contains(t clientmodel.Timestamp) bool {
return !t.Before(it.chunk.firstTime()) && !t.After(it.chunk.lastTime())
}
// EncodeTimeInto writes the provided time into the specified buffer subject
// to the LevelDB big endian key sort order requirement.
func EncodeTimeInto(dst []byte, t clientmodel.Timestamp) {
binary.BigEndian.PutUint64(dst, uint64(t.Unix()))
}
// Run facilitates the curation lifecycle.
//
// recencyThreshold represents the most recent time up to which values will be
// curated.
// curationState is the on-disk store where the curation remarks are made for
// how much progress has been made.
func (c *Curator) Run(ignoreYoungerThan time.Duration, instant clientmodel.Timestamp, processor Processor, curationState CurationRemarker, samples *leveldb.LevelDBPersistence, watermarks HighWatermarker, status CurationStateUpdater) (err error) {
defer func(t time.Time) {
duration := float64(time.Since(t) / time.Millisecond)
labels := map[string]string{
cutOff: fmt.Sprint(ignoreYoungerThan),
processorName: processor.Name(),
result: success,
}
if err != nil {
labels[result] = failure
}
curationDuration.IncrementBy(labels, duration)
curationDurations.Add(labels, duration)
}(time.Now())
defer status.UpdateCurationState(&metric.CurationState{Active: false})
iterator, err := samples.NewIterator(true)
if err != nil {
return err
}
defer iterator.Close()
if !iterator.SeekToLast() {
glog.Info("Empty database; skipping curation.")
return
}
keyDto, _ := c.dtoSampleKeys.Get()
defer c.dtoSampleKeys.Give(keyDto)
lastBlock, _ := c.sampleKeys.Get()
defer c.sampleKeys.Give(lastBlock)
if err := iterator.Key(keyDto); err != nil {
panic(err)
}
lastBlock.Load(keyDto)
if !iterator.SeekToFirst() {
glog.Info("Empty database; skipping curation.")
return
}
firstBlock, _ := c.sampleKeys.Get()
defer c.sampleKeys.Give(firstBlock)
if err := iterator.Key(keyDto); err != nil {
panic(err)
}
firstBlock.Load(keyDto)
scanner := &watermarkScanner{
curationState: curationState,
ignoreYoungerThan: ignoreYoungerThan,
processor: processor,
status: status,
stop: c.stop,
stopAt: instant.Add(-1 * ignoreYoungerThan),
sampleIterator: iterator,
samples: samples,
firstBlock: firstBlock,
lastBlock: lastBlock,
ViewQueue: c.viewQueue,
dtoSampleKeys: c.dtoSampleKeys,
sampleKeys: c.sampleKeys,
}
// Right now, the ability to stop a curation is limited to the beginning of
// each fingerprint cycle. It is impractical to cease the work once it has
// begun for a given series.
_, err = watermarks.ForEach(scanner, scanner, scanner)
return
}
func (cd *chunkDesc) contains(t clientmodel.Timestamp) bool {
return !t.Before(cd.firstTime()) && !t.After(cd.lastTime())
}
// Apply implements the Processor interface.
func (p *CompactionProcessor) Apply(sampleIterator leveldb.Iterator, samplesPersistence raw.Persistence, stopAt clientmodel.Timestamp, fingerprint *clientmodel.Fingerprint) (lastCurated clientmodel.Timestamp, err error) {
var pendingBatch raw.Batch
defer func() {
if pendingBatch != nil {
pendingBatch.Close()
}
}()
var pendingMutations = 0
var pendingSamples metric.Values
var unactedSamples metric.Values
var lastTouchedTime clientmodel.Timestamp
var keyDropped bool
sampleKey, _ := p.sampleKeys.Get()
defer p.sampleKeys.Give(sampleKey)
sampleKeyDto, _ := p.dtoSampleKeys.Get()
defer p.dtoSampleKeys.Give(sampleKeyDto)
if err = sampleIterator.Key(sampleKeyDto); err != nil {
return
}
sampleKey.Load(sampleKeyDto)
unactedSamples = unmarshalValues(sampleIterator.RawValue(), nil)
for lastCurated.Before(stopAt) && lastTouchedTime.Before(stopAt) && sampleKey.Fingerprint.Equal(fingerprint) {
switch {
// Furnish a new pending batch operation if none is available.
case pendingBatch == nil:
pendingBatch = leveldb.NewBatch()
// If there are no sample values to extract from the datastore, let's
// continue extracting more values to use. We know that the time.Before()
// block would prevent us from going into unsafe territory.
case len(unactedSamples) == 0:
if !sampleIterator.Next() {
return lastCurated, fmt.Errorf("illegal condition: invalid iterator on continuation")
}
keyDropped = false
if err = sampleIterator.Key(sampleKeyDto); err != nil {
return
}
sampleKey.Load(sampleKeyDto)
if !sampleKey.Fingerprint.Equal(fingerprint) {
break
}
unactedSamples = unmarshalValues(sampleIterator.RawValue(), nil)
// If the number of pending mutations exceeds the allowed batch amount,
// commit to disk and delete the batch. A new one will be recreated if
// necessary.
case pendingMutations >= p.maximumMutationPoolBatch:
err = samplesPersistence.Commit(pendingBatch)
if err != nil {
return
}
pendingMutations = 0
pendingBatch.Close()
pendingBatch = nil
case len(pendingSamples) == 0 && len(unactedSamples) >= p.minimumGroupSize:
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
unactedSamples = metric.Values{}
case len(pendingSamples)+len(unactedSamples) < p.minimumGroupSize:
if !keyDropped {
k := &dto.SampleKey{}
sampleKey.Dump(k)
pendingBatch.Drop(k)
keyDropped = true
}
pendingSamples = append(pendingSamples, unactedSamples...)
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
unactedSamples = metric.Values{}
pendingMutations++
// If the number of pending writes equals the target group size
case len(pendingSamples) == p.minimumGroupSize:
k := &dto.SampleKey{}
newSampleKey := buildSampleKey(fingerprint, pendingSamples)
newSampleKey.Dump(k)
b := marshalValues(pendingSamples, nil)
pendingBatch.PutRaw(k, b)
pendingMutations++
lastCurated = newSampleKey.FirstTimestamp
if len(unactedSamples) > 0 {
if !keyDropped {
sampleKey.Dump(k)
pendingBatch.Drop(k)
keyDropped = true
}
if len(unactedSamples) > p.minimumGroupSize {
pendingSamples = unactedSamples[:p.minimumGroupSize]
unactedSamples = unactedSamples[p.minimumGroupSize:]
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
} else {
pendingSamples = unactedSamples
lastTouchedTime = pendingSamples[len(pendingSamples)-1].Timestamp
unactedSamples = metric.Values{}
}
}
case len(pendingSamples)+len(unactedSamples) >= p.minimumGroupSize:
if !keyDropped {
k := &dto.SampleKey{}
sampleKey.Dump(k)
pendingBatch.Drop(k)
keyDropped = true
}
remainder := p.minimumGroupSize - len(pendingSamples)
pendingSamples = append(pendingSamples, unactedSamples[:remainder]...)
unactedSamples = unactedSamples[remainder:]
if len(unactedSamples) == 0 {
lastTouchedTime = pendingSamples[len(pendingSamples)-1].Timestamp
} else {
lastTouchedTime = unactedSamples[len(unactedSamples)-1].Timestamp
}
pendingMutations++
default:
err = fmt.Errorf("unhandled processing case")
}
}
if len(unactedSamples) > 0 || len(pendingSamples) > 0 {
pendingSamples = append(pendingSamples, unactedSamples...)
k := &dto.SampleKey{}
newSampleKey := buildSampleKey(fingerprint, pendingSamples)
newSampleKey.Dump(k)
b := marshalValues(pendingSamples, nil)
pendingBatch.PutRaw(k, b)
pendingSamples = metric.Values{}
pendingMutations++
lastCurated = newSampleKey.FirstTimestamp
}
// This is not deferred due to the off-chance that a pre-existing commit
// failed.
if pendingBatch != nil && pendingMutations > 0 {
err = samplesPersistence.Commit(pendingBatch)
if err != nil {
return
}
}
return
}
// contains implements chunkIterator.
func (it *deltaEncodedChunkIterator) contains(t clientmodel.Timestamp) bool {
return !t.Before(it.baseT) && !t.After(it.timestampAtIndex(it.len-1))
}
// === time() clientmodel.SampleValue ===
func timeImpl(timestamp clientmodel.Timestamp, args []Node) interface{} {
return clientmodel.SampleValue(timestamp.Unix())
}
func (t *TieredStorage) loadChunkAroundTime(
iterator leveldb.Iterator,
fingerprint *clientmodel.Fingerprint,
ts clientmodel.Timestamp,
firstBlock,
lastBlock *SampleKey,
) (chunk metric.Values, expired bool) {
if fingerprint.Less(firstBlock.Fingerprint) {
return nil, false
}
if lastBlock.Fingerprint.Less(fingerprint) {
return nil, true
}
seekingKey, _ := t.sampleKeys.Get()
defer t.sampleKeys.Give(seekingKey)
seekingKey.Fingerprint = fingerprint
if fingerprint.Equal(firstBlock.Fingerprint) && ts.Before(firstBlock.FirstTimestamp) {
seekingKey.FirstTimestamp = firstBlock.FirstTimestamp
} else if fingerprint.Equal(lastBlock.Fingerprint) && ts.After(lastBlock.FirstTimestamp) {
seekingKey.FirstTimestamp = lastBlock.FirstTimestamp
} else {
seekingKey.FirstTimestamp = ts
}
dto, _ := t.dtoSampleKeys.Get()
defer t.dtoSampleKeys.Give(dto)
seekingKey.Dump(dto)
if !iterator.Seek(dto) {
return chunk, true
}
var foundValues metric.Values
if err := iterator.Key(dto); err != nil {
panic(err)
}
seekingKey.Load(dto)
if seekingKey.Fingerprint.Equal(fingerprint) {
// Figure out if we need to rewind by one block.
// Imagine the following supertime blocks with time ranges:
//
// Block 1: ft 1000 - lt 1009 <data>
// Block 1: ft 1010 - lt 1019 <data>
//
// If we are aiming to find time 1005, we would first seek to the block with
// supertime 1010, then need to rewind by one block by virtue of LevelDB
// iterator seek behavior.
//
// Only do the rewind if there is another chunk before this one.
if !seekingKey.MayContain(ts) {
postValues := unmarshalValues(iterator.RawValue(), nil)
if !seekingKey.Equal(firstBlock) {
if !iterator.Previous() {
panic("This should never return false.")
}
if err := iterator.Key(dto); err != nil {
panic(err)
}
seekingKey.Load(dto)
if !seekingKey.Fingerprint.Equal(fingerprint) {
return postValues, false
}
foundValues = unmarshalValues(iterator.RawValue(), nil)
foundValues = append(foundValues, postValues...)
return foundValues, false
}
}
foundValues = unmarshalValues(iterator.RawValue(), nil)
return foundValues, false
}
if fingerprint.Less(seekingKey.Fingerprint) {
if !seekingKey.Equal(firstBlock) {
if !iterator.Previous() {
panic("This should never return false.")
}
if err := iterator.Key(dto); err != nil {
panic(err)
}
seekingKey.Load(dto)
if !seekingKey.Fingerprint.Equal(fingerprint) {
return nil, false
}
foundValues = unmarshalValues(iterator.RawValue(), nil)
return foundValues, false
}
}
panic("illegal state: violated sort invariant")
}