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