prometheus/storage/local/interface.go
beorn7 836f1db04c Improve MetricsForLabelMatchers
WIP: This needs more tests.

It now gets a from and through value, which it may opportunistically
use to optimize the retrieval. With possible future range indices,
this could be used in a very efficient way. This change merely applies
some easy checks, which should nevertheless solve the use case of
heavy rule evaluations on servers with a lot of series churn.

Idea is the following:

- Only archive series that are at least as old as the headChunkTimeout
  (which was already extremely unlikely to happen).

- Then maintain a high watermark for the last archival, i.e. no
  archived series has a sample more recent than that watermark.

- Any query that doesn't reach to a time before that watermark doesn't
  have to touch the archive index at all. (A production server at
  Soundcloud with the aforementioned series churn and heavy rule
  evaluations spends 50% of its CPU time in archive index
  lookups. Since rule evaluations usually only touch very recent
  values, most of those lookup should disappear with this change.)

- Federation with a very broad label matcher will profit from this,
  too.

As a byproduct, the un-needed MetricForFingerprint method was removed
from the Storage interface.
2016-03-09 00:25:59 +01:00

117 lines
5.5 KiB
Go

// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package local
import (
"time"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/common/model"
"github.com/prometheus/prometheus/storage/metric"
)
// Storage ingests and manages samples, along with various indexes. All methods
// are goroutine-safe. Storage implements storage.SampleAppender.
type Storage interface {
prometheus.Collector
// Append stores a sample in the Storage. Multiple samples for the same
// fingerprint need to be submitted in chronological order, from oldest
// to newest. When Append has returned, the appended sample might not be
// queryable immediately. (Use WaitForIndexing to wait for complete
// processing.) The implementation might remove labels with empty value
// from the provided Sample as those labels are considered equivalent to
// a label not present at all.
Append(*model.Sample) error
// 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
// MetricsForLabelMatchers returns the metrics from storage that satisfy
// the given label matchers. At least one label matcher must be
// specified that does not match the empty string. The times from and
// through are hints for the storage to optimize the search. The storage
// MAY exclude metrics that have no samples in the specified interval
// from the returned map. In doubt, specify model.Earliest for from and
// model.Latest for through.
MetricsForLabelMatchers(from, through model.Time, matchers ...*metric.LabelMatcher) map[model.Fingerprint]metric.Metric
// LastSampleForFingerprint returns the last sample that has been
// ingested for the provided fingerprint. If this instance of the
// Storage has never ingested a sample for the provided fingerprint (or
// the last ingestion is so long ago that the series has been archived),
// ZeroSample is returned.
LastSampleForFingerprint(model.Fingerprint) model.Sample
// Get all of the label values that are associated with a given label name.
LabelValuesForLabelName(model.LabelName) model.LabelValues
// Drop all time series associated with the given fingerprints.
DropMetricsForFingerprints(...model.Fingerprint)
// Run the various maintenance loops in goroutines. Returns when the
// storage is ready to use. Keeps everything running in the background
// until Stop is called.
Start() error
// Stop shuts down the Storage gracefully, flushes all pending
// operations, stops all maintenance loops,and frees all resources.
Stop() error
// WaitForIndexing returns once all samples in the storage are
// indexed. Indexing is needed for FingerprintsForLabelMatchers and
// LabelValuesForLabelName and may lag behind.
WaitForIndexing()
}
// SeriesIterator enables efficient access of sample values in a series. Its
// methods are not goroutine-safe. A SeriesIterator iterates over a snapshot of
// a series, i.e. it is safe to continue using a SeriesIterator after or during
// modifying the corresponding series, but the iterator will represent the state
// of the series prior to the modification.
type SeriesIterator interface {
// Gets the value that is closest before the given time. In case a value
// exists at precisely the given time, that value is returned. If no
// applicable value exists, ZeroSamplePair is returned.
ValueAtOrBeforeTime(model.Time) model.SamplePair
// Gets all values contained within a given interval.
RangeValues(metric.Interval) []model.SamplePair
}
// A Preloader preloads series data necessary for a query into memory, pins it
// until released via Close(), and returns an iterator for the pinned data. Its
// methods are generally not goroutine-safe.
type Preloader interface {
PreloadRange(
fp model.Fingerprint,
from, through model.Time,
) SeriesIterator
PreloadInstant(
fp model.Fingerprint,
timestamp model.Time, stalenessDelta time.Duration,
) SeriesIterator
// Close unpins any previously requested series data from memory.
Close()
}
// ZeroSamplePair is the pseudo zero-value of model.SamplePair used by the local
// package to signal a non-existing sample pair. It is a SamplePair with
// timestamp model.Earliest and value 0.0. Note that the natural zero value of
// SamplePair has a timestamp of 0, which is possible to appear in a real
// SamplePair and thus not suitable to signal a non-existing SamplePair.
var ZeroSamplePair = model.SamplePair{Timestamp: model.Earliest}
// ZeroSample is the pseudo zero-value of model.Sample used by the local package
// to signal a non-existing sample. It is a Sample with timestamp
// model.Earliest, value 0.0, and metric nil. Note that the natural zero value
// of Sample has a timestamp of 0, which is possible to appear in a real
// Sample and thus not suitable to signal a non-existing Sample.
var ZeroSample = model.Sample{Timestamp: model.Earliest}