mirror of
https://github.com/prometheus/prometheus.git
synced 2025-01-13 06:47:28 -08:00
Merge branch 'beorn7/storage6' into beorn7/storage7
This commit is contained in:
commit
99854a84d7
|
@ -548,7 +548,7 @@ func linearRegression(samples []model.SamplePair, interceptTime model.Time) (slo
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slope = covXY / varX
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intercept = sumY/n - slope*sumX/n
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return
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return slope, intercept
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}
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// === deriv(node model.ValMatrix) Vector ===
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@ -260,42 +260,52 @@ type chunk interface {
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// A chunkIterator enables efficient access to the content of a chunk. It is
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// generally not safe to use a chunkIterator concurrently with or after chunk
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// mutation. The error returned by any of the methods is always the last error
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// encountered by the iterator, i.e. once an error has been encountered, no
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// method will ever return a nil error again. In general, errors signal data
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// corruption in the chunk and require quarantining.
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// mutation.
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type chunkIterator interface {
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// Gets the last timestamp in the chunk.
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lastTimestamp() (model.Time, error)
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// Gets the value that is closest before the given time. In case a value
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// exists at precisely the given time, that value is returned. If no
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// applicable value exists, ZeroSamplePair is returned.
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valueAtOrBeforeTime(model.Time) (model.SamplePair, error)
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// Gets all values contained within a given interval.
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rangeValues(metric.Interval) ([]model.SamplePair, error)
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// Whether a given timestamp is contained between first and last value
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// in the chunk.
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contains(model.Time) (bool, error)
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// scan, value, and err implement a bufio.Scanner-like interface. The
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// scan method advances the iterator to the next value in the chunk and
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// returns true if that worked. In that case, the value method will
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// return the sample pair the iterator has advanced to. If the scan
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// method returns false, either an error has occured or the end of the
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// chunk has been reached. In the former case, the err method will
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// return the error. In the latter case, the err method will return nil.
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// Upon creation, the iterator is at position "minus one". After the
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// first scan call, value will return the 1st value in the
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// chunk. valueAtOrBeforeTime and rangeValues all modify the iterator
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// position, too. They behave as if their return values were retrieved
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// after a scan call, i.e. calling the value or err methods after a call
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// to those methods will retrieve the same return value again (or the
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// last value in the range in case of rangeValues), and subsequent scan
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// calls will advance the iterator from there.
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// Scans the next value in the chunk. Directly after the iterator has
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// been created, the next value is the first value in the
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// chunk. Otherwise, it is the value following the last value scanned or
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// found (by one of the find... methods). Returns false if either the
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// end of the chunk is reached or an error has occurred.
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scan() bool
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// Finds the most recent value at or before the provided time. Returns
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// false if either the chunk contains no value at or before the provided
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// time, or an error has occurred.
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findAtOrBefore(model.Time) bool
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// Finds the oldest value at or after the provided time. Returns false
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// if either the chunk contains no value at or after the provided time,
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// or an error has occurred.
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findAtOrAfter(model.Time) bool
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// Returns the last value scanned (by the scan method) or found (by one
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// of the find... methods). It returns ZeroSamplePair before any of
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// those methods were called.
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value() model.SamplePair
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// Returns the last error encountered. In general, an error signal data
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// corruption in the chunk and requires quarantining.
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err() error
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}
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// rangeValues is a utility function that retrieves all values within the given
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// range from a chunkIterator.
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func rangeValues(it chunkIterator, in metric.Interval) ([]model.SamplePair, error) {
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result := []model.SamplePair{}
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if !it.findAtOrAfter(in.OldestInclusive) {
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return result, it.err()
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}
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for !it.value().Timestamp.After(in.NewestInclusive) {
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result = append(result, it.value())
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if !it.scan() {
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break
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}
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}
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return result, it.err()
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}
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func transcodeAndAdd(dst chunk, src chunk, s model.SamplePair) ([]chunk, error) {
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chunkOps.WithLabelValues(transcode).Inc()
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@ -374,46 +384,6 @@ func (it *indexAccessingChunkIterator) lastTimestamp() (model.Time, error) {
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return it.acc.timestampAtIndex(it.len - 1), it.acc.err()
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}
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// valueAtOrBeforeTime implements chunkIterator.
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func (it *indexAccessingChunkIterator) valueAtOrBeforeTime(t model.Time) (model.SamplePair, error) {
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i := sort.Search(it.len, func(i int) bool {
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return it.acc.timestampAtIndex(i).After(t)
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})
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if i == 0 || it.acc.err() != nil {
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return ZeroSamplePair, it.acc.err()
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}
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it.pos = i - 1
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it.lastValue = model.SamplePair{
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Timestamp: it.acc.timestampAtIndex(i - 1),
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Value: it.acc.sampleValueAtIndex(i - 1),
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}
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return it.lastValue, it.acc.err()
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}
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// rangeValues implements chunkIterator.
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func (it *indexAccessingChunkIterator) rangeValues(in metric.Interval) ([]model.SamplePair, error) {
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oldest := sort.Search(it.len, func(i int) bool {
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return !it.acc.timestampAtIndex(i).Before(in.OldestInclusive)
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})
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newest := sort.Search(it.len, func(i int) bool {
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return it.acc.timestampAtIndex(i).After(in.NewestInclusive)
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})
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if oldest == it.len || it.acc.err() != nil {
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return nil, it.acc.err()
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}
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result := make([]model.SamplePair, 0, newest-oldest)
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for i := oldest; i < newest; i++ {
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it.pos = i
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it.lastValue = model.SamplePair{
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Timestamp: it.acc.timestampAtIndex(i),
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Value: it.acc.sampleValueAtIndex(i),
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}
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result = append(result, it.lastValue)
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}
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return result, it.acc.err()
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}
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// contains implements chunkIterator.
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func (it *indexAccessingChunkIterator) contains(t model.Time) (bool, error) {
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return !t.Before(it.acc.timestampAtIndex(0)) &&
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@ -433,6 +403,38 @@ func (it *indexAccessingChunkIterator) scan() bool {
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return it.acc.err() == nil
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}
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// findAtOrBefore implements chunkIterator.
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func (it *indexAccessingChunkIterator) findAtOrBefore(t model.Time) bool {
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i := sort.Search(it.len, func(i int) bool {
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return it.acc.timestampAtIndex(i).After(t)
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})
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if i == 0 || it.acc.err() != nil {
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return false
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}
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it.pos = i - 1
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it.lastValue = model.SamplePair{
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Timestamp: it.acc.timestampAtIndex(i - 1),
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Value: it.acc.sampleValueAtIndex(i - 1),
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}
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return true
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}
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// findAtOrAfter implements chunkIterator.
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func (it *indexAccessingChunkIterator) findAtOrAfter(t model.Time) bool {
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i := sort.Search(it.len, func(i int) bool {
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return !it.acc.timestampAtIndex(i).Before(t)
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})
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if i == it.len || it.acc.err() != nil {
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return false
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}
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it.pos = i
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it.lastValue = model.SamplePair{
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Timestamp: it.acc.timestampAtIndex(i),
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Value: it.acc.sampleValueAtIndex(i),
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}
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return true
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}
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// value implements chunkIterator.
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func (it *indexAccessingChunkIterator) value() model.SamplePair {
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return it.lastValue
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|
|
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@ -30,7 +30,7 @@ func (p *memorySeriesPreloader) PreloadRange(
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fp model.Fingerprint,
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from model.Time, through model.Time,
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) SeriesIterator {
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cds, iter := p.storage.preloadChunksForRange(fp, from, through, false)
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cds, iter := p.storage.preloadChunksForRange(fp, from, through)
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p.pinnedChunkDescs = append(p.pinnedChunkDescs, cds...)
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return iter
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}
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|
@ -40,7 +40,7 @@ func (p *memorySeriesPreloader) PreloadInstant(
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fp model.Fingerprint,
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timestamp model.Time, stalenessDelta time.Duration,
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) SeriesIterator {
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cds, iter := p.storage.preloadChunksForRange(fp, timestamp.Add(-stalenessDelta), timestamp, true)
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cds, iter := p.storage.preloadChunksForInstant(fp, timestamp.Add(-stalenessDelta), timestamp)
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p.pinnedChunkDescs = append(p.pinnedChunkDescs, cds...)
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return iter
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}
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|
|
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@ -399,30 +399,40 @@ func (s *memorySeries) newIterator(pinnedChunkDescs []*chunkDesc, quarantine fun
|
|||
}
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}
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// preloadChunksForInstant preloads chunks for the latest value in the given
|
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// range. If the last sample saved in the memorySeries itself is the latest
|
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// value in the given range, it will in fact preload zero chunks and just take
|
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// that value.
|
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func (s *memorySeries) preloadChunksForInstant(
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fp model.Fingerprint,
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from model.Time, through model.Time,
|
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mss *memorySeriesStorage,
|
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) ([]*chunkDesc, SeriesIterator, error) {
|
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// If we have a lastSamplePair in the series, and thas last samplePair
|
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// is in the interval, just take it in a singleSampleSeriesIterator. No
|
||||
// need to pin or load anything.
|
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lastSample := s.lastSamplePair()
|
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if !through.Before(lastSample.Timestamp) &&
|
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!from.After(lastSample.Timestamp) &&
|
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lastSample != ZeroSamplePair {
|
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iter := &boundedIterator{
|
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it: &singleSampleSeriesIterator{samplePair: lastSample},
|
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start: model.Now().Add(-mss.dropAfter),
|
||||
}
|
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return nil, iter, nil
|
||||
}
|
||||
// If we are here, we are out of luck and have to delegate to the more
|
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// expensive method.
|
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return s.preloadChunksForRange(fp, from, through, mss)
|
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}
|
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|
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// preloadChunksForRange loads chunks for the given range from the persistence.
|
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// The caller must have locked the fingerprint of the series.
|
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func (s *memorySeries) preloadChunksForRange(
|
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fp model.Fingerprint,
|
||||
from model.Time, through model.Time,
|
||||
lastSampleOnly bool,
|
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mss *memorySeriesStorage,
|
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) ([]*chunkDesc, SeriesIterator, error) {
|
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// If we have to preload for only one sample, and we have a
|
||||
// lastSamplePair in the series, and thas last samplePair is in the
|
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// interval, just take it in a singleSampleSeriesIterator. No need to
|
||||
// pin or load anything.
|
||||
if lastSampleOnly {
|
||||
lastSample := s.lastSamplePair()
|
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if !through.Before(lastSample.Timestamp) &&
|
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!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()
|
||||
|
@ -547,12 +557,13 @@ func (it *memorySeriesIterator) ValueAtOrBeforeTime(t model.Time) model.SamplePa
|
|||
return ZeroSamplePair
|
||||
}
|
||||
if containsT {
|
||||
value, err := it.chunkIt.valueAtOrBeforeTime(t)
|
||||
if err != nil {
|
||||
it.quarantine(err)
|
||||
return ZeroSamplePair
|
||||
if it.chunkIt.findAtOrBefore(t) {
|
||||
return it.chunkIt.value()
|
||||
}
|
||||
return value
|
||||
if it.chunkIt.err() != nil {
|
||||
it.quarantine(it.chunkIt.err())
|
||||
}
|
||||
return ZeroSamplePair
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -570,12 +581,13 @@ func (it *memorySeriesIterator) ValueAtOrBeforeTime(t model.Time) model.SamplePa
|
|||
return ZeroSamplePair
|
||||
}
|
||||
it.chunkIt = it.chunkIterator(l - i)
|
||||
value, err := it.chunkIt.valueAtOrBeforeTime(t)
|
||||
if err != nil {
|
||||
it.quarantine(err)
|
||||
return ZeroSamplePair
|
||||
if it.chunkIt.findAtOrBefore(t) {
|
||||
return it.chunkIt.value()
|
||||
}
|
||||
return value
|
||||
if it.chunkIt.err() != nil {
|
||||
it.quarantine(it.chunkIt.err())
|
||||
}
|
||||
return ZeroSamplePair
|
||||
}
|
||||
|
||||
// RangeValues implements SeriesIterator.
|
||||
|
@ -602,7 +614,7 @@ func (it *memorySeriesIterator) RangeValues(in metric.Interval) []model.SamplePa
|
|||
if c.firstTime().After(in.NewestInclusive) {
|
||||
break
|
||||
}
|
||||
chValues, err := it.chunkIterator(i + j).rangeValues(in)
|
||||
chValues, err := rangeValues(it.chunkIterator(i+j), in)
|
||||
if err != nil {
|
||||
it.quarantine(err)
|
||||
return nil
|
||||
|
|
|
@ -736,46 +736,76 @@ 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() {
|
||||
|
|
|
@ -495,12 +495,12 @@ 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))
|
||||
}
|
||||
|
@ -522,12 +522,12 @@ 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))
|
||||
}
|
||||
|
@ -746,7 +746,7 @@ 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 {
|
||||
|
@ -820,7 +820,7 @@ 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()
|
||||
|
||||
|
@ -898,7 +898,7 @@ 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 {
|
||||
|
@ -1050,7 +1050,7 @@ 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()
|
||||
|
||||
|
@ -1096,7 +1096,7 @@ 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,
|
||||
|
@ -1114,7 +1114,7 @@ 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,
|
||||
|
|
Loading…
Reference in a new issue