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3bfec97d46
See discussion in https://groups.google.com/forum/#!topic/prometheus-developers/bkuGbVlvQ9g The main idea is that the user of a storage shouldn't have to deal with fingerprints anymore, and should not need to do an individual preload call for each metric. The storage interface needs to be made more high-level to not expose these details. This also makes it easier to reuse the same storage interface for remote storages later, as fewer roundtrips are required and the fingerprint concept doesn't work well across the network. NOTE: this deliberately gets rid of a small optimization in the old query Analyzer, where we dedupe instants and ranges for the same series. This should have a minor impact, as most queries do not have multiple selectors loading the same series (and at the same offset).
118 lines
5.9 KiB
Go
118 lines
5.9 KiB
Go
// 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 label matchers. Returns
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// the number series that were dropped.
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DropMetricsForLabelMatchers(...*metric.LabelMatcher) (int, error)
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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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// QueryRange returns a list of series iterators for the selected
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// time range and label matchers. The iterators need to be closed
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// after usage.
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QueryRange(from, through model.Time, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
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// QueryInstant returns a list of series iterators for the selected
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// instant and label matchers. The iterators need to be closed after usage.
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QueryInstant(ts model.Time, stalenessDelta time.Duration, matchers ...*metric.LabelMatcher) ([]SeriesIterator, error)
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// MetricsForLabelMatchers returns the metrics from storage that satisfy
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// the given sets of label matchers. Each set of matchers must contain at
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// least one label matcher that does not match the empty string. Otherwise,
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// an empty list is returned. Within one set of matchers, the intersection
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// of matching series is computed. The final return value will be the union
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// of the per-set results. The times from and through are hints for the
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// storage to optimize the search. The storage MAY exclude metrics that
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// have no samples in the specified interval from the returned map. In
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// doubt, specify model.Earliest for from and model.Latest for through.
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MetricsForLabelMatchers(from, through model.Time, matcherSets ...metric.LabelMatchers) ([]metric.Metric, error)
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// LastSampleForFingerprint returns the last sample that has been
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// ingested for the given sets of label matchers. 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. The label matching behavior is the same as in
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// MetricsForLabelMatchers.
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LastSampleForLabelMatchers(cutoff model.Time, matcherSets ...metric.LabelMatchers) (model.Vector, error)
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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, error)
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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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// Returns the metric of the series that the iterator corresponds to.
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Metric() metric.Metric
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// Closes the iterator and releases the underlying data.
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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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