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Merge branch 'beorn7/storage5' into beorn7/storage6

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This commit is contained in:
beorn7 2016-03-09 17:21:32 +01:00
parent 161eada3ad b343e65907
commit 5e4fa96719
5 changed files with 98 additions and 58 deletions
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2
promql/functions.go
View file

@ -548,7 +548,7 @@ func linearRegression(samples []model.SamplePair, interceptTime model.Time) (slo
slope = covXY / varX
intercept = sumY/n - slope*sumX/n
return
return slope, intercept
}
// === deriv(node model.ValMatrix) Vector ===

4
storage/local/preload.go
View file

@ -30,7 +30,7 @@ func (p *memorySeriesPreloader) PreloadRange(
fp model.Fingerprint,
from model.Time, through model.Time,
) SeriesIterator {
cds, iter := p.storage.preloadChunksForRange(fp, from, through, false)
cds, iter := p.storage.preloadChunksForRange(fp, from, through)
p.pinnedChunkDescs = append(p.pinnedChunkDescs, cds...)
return iter
}
@ -40,7 +40,7 @@ func (p *memorySeriesPreloader) PreloadInstant(
fp model.Fingerprint,
timestamp model.Time, stalenessDelta time.Duration,
) SeriesIterator {
cds, iter := p.storage.preloadChunksForRange(fp, timestamp.Add(-stalenessDelta), timestamp, true)
cds, iter := p.storage.preloadChunksForInstant(fp, timestamp.Add(-stalenessDelta), timestamp)
p.pinnedChunkDescs = append(p.pinnedChunkDescs, cds...)
return iter
}

44
storage/local/series.go
View file

@ -399,30 +399,40 @@ func (s *memorySeries) newIterator(pinnedChunkDescs []*chunkDesc, quarantine fun
}
}
// preloadChunksForInstant preloads chunks for the latest value in the given
// range. If the last sample saved in the memorySeries itself is the latest
// value in the given range, it will in fact preload zero chunks and just take
// that value.
func (s *memorySeries) preloadChunksForInstant(
fp model.Fingerprint,
from model.Time, through model.Time,
mss *memorySeriesStorage,
) ([]*chunkDesc, SeriesIterator, error) {
// If we have a lastSamplePair in the series, and thas last samplePair
// is in the interval, just take it in a singleSampleSeriesIterator. No
// need to pin or load anything.
lastSample := s.lastSamplePair()
if !through.Before(lastSample.Timestamp) &&
!from.After(lastSample.Timestamp) &&
lastSample != ZeroSamplePair {
iter := &boundedIterator{
it: &singleSampleSeriesIterator{samplePair: lastSample},
start: model.Now().Add(-mss.dropAfter),
}
return nil, iter, nil
}
// If we are here, we are out of luck and have to delegate to the more
// expensive method.
return s.preloadChunksForRange(fp, from, through, mss)
}
// preloadChunksForRange loads chunks for the given range from the persistence.
// The caller must have locked the fingerprint of the series.
func (s *memorySeries) preloadChunksForRange(
fp model.Fingerprint,
from model.Time, through model.Time,
lastSampleOnly bool,
mss *memorySeriesStorage,
) ([]*chunkDesc, SeriesIterator, error) {
// If we have to preload for only one sample, and we have a
// lastSamplePair in the series, and thas last samplePair is in the
// interval, just take it in a singleSampleSeriesIterator. No need to
// pin or load anything.
if lastSampleOnly {
lastSample := s.lastSamplePair()
if !through.Before(lastSample.Timestamp) &&
!from.After(lastSample.Timestamp) &&
lastSample != ZeroSamplePair {
iter := &boundedIterator{
it: &singleSampleSeriesIterator{samplePair: lastSample},
start: model.Now().Add(-mss.dropAfter),
}
return nil, iter, nil
}
}
firstChunkDescTime := model.Latest
if len(s.chunkDescs) > 0 {
firstChunkDescTime = s.chunkDescs[0].firstTime()

86
storage/local/storage.go
View file

@ -696,46 +696,76 @@ func (s *memorySeriesStorage) getOrCreateSeries(fp model.Fingerprint, m model.Me
return series, nil
}
// getSeriesForRange is a helper method for preloadChunksForRange and preloadChunksForInstant.
func (s *memorySeriesStorage) getSeriesForRange(
fp model.Fingerprint,
from model.Time, through model.Time,
) *memorySeries {
series, ok := s.fpToSeries.get(fp)
if ok {
return series
}
has, first, last, err := s.persistence.hasArchivedMetric(fp)
if err != nil {
log.With("fingerprint", fp).With("error", err).Error("Archive index error while preloading chunks.")
return nil
}
if !has {
s.invalidPreloadRequestsCount.Inc()
return nil
}
if last.Before(from) || first.After(through) {
return nil
}
metric, err := s.persistence.archivedMetric(fp)
if err != nil {
log.With("fingerprint", fp).With("error", err).Error("Archive index error while preloading chunks.")
return nil
}
series, err = s.getOrCreateSeries(fp, metric)
if err != nil {
// getOrCreateSeries took care of quarantining already.
return nil
}
return series
}
func (s *memorySeriesStorage) preloadChunksForRange(
fp model.Fingerprint,
from model.Time, through model.Time,
lastSampleOnly bool,
) ([]*chunkDesc, SeriesIterator) {
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 {
log.With("fingerprint", fp).With("error", err).Error("Archive index error while preloading chunks.")
return nil, nopIter
}
if !has {
s.invalidPreloadRequestsCount.Inc()
return nil, nopIter
}
if from.Before(last) && through.After(first) {
metric, err := s.persistence.archivedMetric(fp)
if err != nil {
log.With("fingerprint", fp).With("error", err).Error("Archive index error while preloading chunks.")
return nil, nopIter
}
series, err = s.getOrCreateSeries(fp, metric)
if err != nil {
log.With("fingerprint", fp).With("error", err).Error("Error while retrieving series.")
return nil, nopIter
}
} else {
return nil, nopIter
}
series := s.getSeriesForRange(fp, from, through)
if series == nil {
return nil, nopIter
}
cds, it, err := series.preloadChunksForRange(fp, from, through, lastSampleOnly, s)
cds, iter, err := series.preloadChunksForRange(fp, from, through, s)
if err != nil {
s.quarantineSeries(fp, series.metric, err)
return nil, nopIter
}
return cds, it
return cds, iter
}
func (s *memorySeriesStorage) preloadChunksForInstant(
fp model.Fingerprint,
from model.Time, through model.Time,
) ([]*chunkDesc, SeriesIterator) {
s.fpLocker.Lock(fp)
defer s.fpLocker.Unlock(fp)
series := s.getSeriesForRange(fp, from, through)
if series == nil {
return nil, nopIter
}
cds, iter, err := series.preloadChunksForInstant(fp, from, through, s)
if err != nil {
s.quarantineSeries(fp, series.metric, err)
return nil, nopIter
}
return cds, iter
}
func (s *memorySeriesStorage) handleEvictList() {

20
storage/local/storage_test.go
View file

@ -489,12 +489,12 @@ func TestDropMetrics(t *testing.T) {
t.Errorf("unexpected number of fingerprints: %d", len(fps2))
}
_, it := s.preloadChunksForRange(fpList[0], model.Earliest, model.Latest, false)
_, it := s.preloadChunksForRange(fpList[0], model.Earliest, model.Latest)
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != 0 {
t.Errorf("unexpected number of samples: %d", len(vals))
}
_, it = s.preloadChunksForRange(fpList[1], model.Earliest, model.Latest, false)
_, it = s.preloadChunksForRange(fpList[1], model.Earliest, model.Latest)
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != N {
t.Errorf("unexpected number of samples: %d", len(vals))
}
@ -516,12 +516,12 @@ func TestDropMetrics(t *testing.T) {
t.Errorf("unexpected number of fingerprints: %d", len(fps3))
}
_, it = s.preloadChunksForRange(fpList[0], model.Earliest, model.Latest, false)
_, it = s.preloadChunksForRange(fpList[0], model.Earliest, model.Latest)
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != 0 {
t.Errorf("unexpected number of samples: %d", len(vals))
}
_, it = s.preloadChunksForRange(fpList[1], model.Earliest, model.Latest, false)
_, it = s.preloadChunksForRange(fpList[1], model.Earliest, model.Latest)
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != 0 {
t.Errorf("unexpected number of samples: %d", len(vals))
}
@ -740,7 +740,7 @@ func testValueAtOrBeforeTime(t *testing.T, encoding chunkEncoding) {
fp := model.Metric{}.FastFingerprint()
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest, false)
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest)
// #1 Exactly on a sample.
for i, expected := range samples {
@ -814,7 +814,7 @@ func benchmarkValueAtOrBeforeTime(b *testing.B, encoding chunkEncoding) {
fp := model.Metric{}.FastFingerprint()
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest, false)
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest)
b.ResetTimer()
@ -892,7 +892,7 @@ func testRangeValues(t *testing.T, encoding chunkEncoding) {
fp := model.Metric{}.FastFingerprint()
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest, false)
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest)
// #1 Zero length interval at sample.
for i, expected := range samples {
@ -1044,7 +1044,7 @@ func benchmarkRangeValues(b *testing.B, encoding chunkEncoding) {
fp := model.Metric{}.FastFingerprint()
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest, false)
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest)
b.ResetTimer()
@ -1090,7 +1090,7 @@ func testEvictAndPurgeSeries(t *testing.T, encoding chunkEncoding) {
// Drop ~half of the chunks.
s.maintainMemorySeries(fp, 10000)
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest, false)
_, it := s.preloadChunksForRange(fp, model.Earliest, model.Latest)
actual := it.RangeValues(metric.Interval{
OldestInclusive: 0,
NewestInclusive: 100000,
@ -1108,7 +1108,7 @@ func testEvictAndPurgeSeries(t *testing.T, encoding chunkEncoding) {
// Drop everything.
s.maintainMemorySeries(fp, 100000)
_, it = s.preloadChunksForRange(fp, model.Earliest, model.Latest, false)
_, it = s.preloadChunksForRange(fp, model.Earliest, model.Latest)
actual = it.RangeValues(metric.Interval{
OldestInclusive: 0,
NewestInclusive: 100000,