mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-26 22:19:40 -08:00
c3c7d44d84
We haven't updated golint-ci in our CI yet, but this commit prepares for that. There are a lot of new warnings, and it is mostly because the "revive" linter got updated. I agree with most of the new warnings, mostly around not naming unused function parameters (although it is justified in some cases for documentation purposes – while things like mocks are a good example where not naming the parameter is clearer). I'm pretty upset about the "empty block" warning to include `for` loops. It's such a common pattern to do something in the head of the `for` loop and then have an empty block. There is still an open issue about this: https://github.com/mgechev/revive/issues/810 I have disabled "revive" altogether in files where empty blocks are used excessively, and I have made the effort to add individual `// nolint:revive` where empty blocks are used just once or twice. It's borderline noisy, though, but let's go with it for now. I should mention that none of the "empty block" warnings for `for` loop bodies were legitimate. Signed-off-by: beorn7 <beorn@grafana.com>
438 lines
17 KiB
Go
438 lines
17 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 storage
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import (
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"context"
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"errors"
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"fmt"
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"github.com/prometheus/prometheus/model/exemplar"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/model/metadata"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/chunks"
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)
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// The errors exposed.
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var (
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ErrNotFound = errors.New("not found")
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// ErrOutOfOrderSample is when out of order support is disabled and the sample is out of order.
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ErrOutOfOrderSample = errors.New("out of order sample")
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// ErrOutOfBounds is when out of order support is disabled and the sample is older than the min valid time for the append.
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ErrOutOfBounds = errors.New("out of bounds")
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// ErrTooOldSample is when out of order support is enabled but the sample is outside the time window allowed.
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ErrTooOldSample = errors.New("too old sample")
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// ErrDuplicateSampleForTimestamp is when the sample has same timestamp but different value.
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ErrDuplicateSampleForTimestamp = errors.New("duplicate sample for timestamp")
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ErrOutOfOrderExemplar = errors.New("out of order exemplar")
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ErrDuplicateExemplar = errors.New("duplicate exemplar")
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ErrExemplarLabelLength = fmt.Errorf("label length for exemplar exceeds maximum of %d UTF-8 characters", exemplar.ExemplarMaxLabelSetLength)
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ErrExemplarsDisabled = fmt.Errorf("exemplar storage is disabled or max exemplars is less than or equal to 0")
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ErrNativeHistogramsDisabled = fmt.Errorf("native histograms are disabled")
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ErrHistogramCountNotBigEnough = errors.New("histogram's observation count should be at least the number of observations found in the buckets")
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ErrHistogramNegativeBucketCount = errors.New("histogram has a bucket whose observation count is negative")
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ErrHistogramSpanNegativeOffset = errors.New("histogram has a span whose offset is negative")
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ErrHistogramSpansBucketsMismatch = errors.New("histogram spans specify different number of buckets than provided")
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)
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// SeriesRef is a generic series reference. In prometheus it is either a
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// HeadSeriesRef or BlockSeriesRef, though other implementations may have
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// their own reference types.
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type SeriesRef uint64
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// Appendable allows creating appenders.
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type Appendable interface {
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// Appender returns a new appender for the storage. The implementation
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// can choose whether or not to use the context, for deadlines or to check
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// for errors.
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Appender(ctx context.Context) Appender
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}
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// SampleAndChunkQueryable allows retrieving samples as well as encoded samples in form of chunks.
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type SampleAndChunkQueryable interface {
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Queryable
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ChunkQueryable
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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.Appender.
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type Storage interface {
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SampleAndChunkQueryable
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Appendable
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// StartTime returns the oldest timestamp stored in the storage.
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StartTime() (int64, error)
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// Close closes the storage and all its underlying resources.
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Close() error
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}
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// ExemplarStorage ingests and manages exemplars, along with various indexes. All methods are
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// goroutine-safe. ExemplarStorage implements storage.ExemplarAppender and storage.ExemplarQuerier.
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type ExemplarStorage interface {
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ExemplarQueryable
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ExemplarAppender
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}
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// A Queryable handles queries against a storage.
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// Use it when you need to have access to all samples without chunk encoding abstraction e.g promQL.
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type Queryable interface {
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// Querier returns a new Querier on the storage.
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Querier(ctx context.Context, mint, maxt int64) (Querier, error)
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}
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// A MockQueryable is used for testing purposes so that a mock Querier can be used.
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type MockQueryable struct {
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MockQuerier Querier
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}
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func (q *MockQueryable) Querier(context.Context, int64, int64) (Querier, error) {
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return q.MockQuerier, nil
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}
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// Querier provides querying access over time series data of a fixed time range.
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type Querier interface {
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LabelQuerier
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// Select returns a set of series that matches the given label matchers.
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// Caller can specify if it requires returned series to be sorted. Prefer not requiring sorting for better performance.
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// It allows passing hints that can help in optimising select, but it's up to implementation how this is used if used at all.
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Select(sortSeries bool, hints *SelectHints, matchers ...*labels.Matcher) SeriesSet
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}
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// MockQuerier is used for test purposes to mock the selected series that is returned.
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type MockQuerier struct {
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SelectMockFunction func(sortSeries bool, hints *SelectHints, matchers ...*labels.Matcher) SeriesSet
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}
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func (q *MockQuerier) LabelValues(string, ...*labels.Matcher) ([]string, Warnings, error) {
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return nil, nil, nil
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}
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func (q *MockQuerier) LabelNames(...*labels.Matcher) ([]string, Warnings, error) {
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return nil, nil, nil
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}
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func (q *MockQuerier) Close() error {
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return nil
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}
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func (q *MockQuerier) Select(sortSeries bool, hints *SelectHints, matchers ...*labels.Matcher) SeriesSet {
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return q.SelectMockFunction(sortSeries, hints, matchers...)
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}
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// A ChunkQueryable handles queries against a storage.
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// Use it when you need to have access to samples in encoded format.
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type ChunkQueryable interface {
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// ChunkQuerier returns a new ChunkQuerier on the storage.
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ChunkQuerier(ctx context.Context, mint, maxt int64) (ChunkQuerier, error)
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}
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// ChunkQuerier provides querying access over time series data of a fixed time range.
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type ChunkQuerier interface {
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LabelQuerier
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// Select returns a set of series that matches the given label matchers.
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// Caller can specify if it requires returned series to be sorted. Prefer not requiring sorting for better performance.
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// It allows passing hints that can help in optimising select, but it's up to implementation how this is used if used at all.
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Select(sortSeries bool, hints *SelectHints, matchers ...*labels.Matcher) ChunkSeriesSet
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}
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// LabelQuerier provides querying access over labels.
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type LabelQuerier interface {
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// LabelValues returns all potential values for a label name.
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// It is not safe to use the strings beyond the lifetime of the querier.
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// If matchers are specified the returned result set is reduced
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// to label values of metrics matching the matchers.
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LabelValues(name string, matchers ...*labels.Matcher) ([]string, Warnings, error)
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// LabelNames returns all the unique label names present in the block in sorted order.
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// If matchers are specified the returned result set is reduced
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// to label names of metrics matching the matchers.
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LabelNames(matchers ...*labels.Matcher) ([]string, Warnings, error)
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// Close releases the resources of the Querier.
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Close() error
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}
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type ExemplarQueryable interface {
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// ExemplarQuerier returns a new ExemplarQuerier on the storage.
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ExemplarQuerier(ctx context.Context) (ExemplarQuerier, error)
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}
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// ExemplarQuerier provides reading access to time series data.
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type ExemplarQuerier interface {
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// Select all the exemplars that match the matchers.
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// Within a single slice of matchers, it is an intersection. Between the slices, it is a union.
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Select(start, end int64, matchers ...[]*labels.Matcher) ([]exemplar.QueryResult, error)
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}
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// SelectHints specifies hints passed for data selections.
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// This is used only as an option for implementation to use.
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type SelectHints struct {
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Start int64 // Start time in milliseconds for this select.
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End int64 // End time in milliseconds for this select.
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Step int64 // Query step size in milliseconds.
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Func string // String representation of surrounding function or aggregation.
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Grouping []string // List of label names used in aggregation.
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By bool // Indicate whether it is without or by.
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Range int64 // Range vector selector range in milliseconds.
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// DisableTrimming allows to disable trimming of matching series chunks based on query Start and End time.
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// When disabled, the result may contain samples outside the queried time range but Select() performances
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// may be improved.
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DisableTrimming bool
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}
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// TODO(bwplotka): Move to promql/engine_test.go?
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// QueryableFunc is an adapter to allow the use of ordinary functions as
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// Queryables. It follows the idea of http.HandlerFunc.
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type QueryableFunc func(ctx context.Context, mint, maxt int64) (Querier, error)
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// Querier calls f() with the given parameters.
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func (f QueryableFunc) Querier(ctx context.Context, mint, maxt int64) (Querier, error) {
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return f(ctx, mint, maxt)
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}
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// Appender provides batched appends against a storage.
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// It must be completed with a call to Commit or Rollback and must not be reused afterwards.
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//
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// Operations on the Appender interface are not goroutine-safe.
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//
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// The type of samples (float64, histogram, etc) appended for a given series must remain same within an Appender.
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// The behaviour is undefined if samples of different types are appended to the same series in a single Commit().
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type Appender interface {
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// Append adds a sample pair for the given series.
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// An optional series reference can be provided to accelerate calls.
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// A series reference number is returned which can be used to add further
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// samples to the given series in the same or later transactions.
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// Returned reference numbers are ephemeral and may be rejected in calls
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// to Append() at any point. Adding the sample via Append() returns a new
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// reference number.
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// If the reference is 0 it must not be used for caching.
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Append(ref SeriesRef, l labels.Labels, t int64, v float64) (SeriesRef, error)
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// Commit submits the collected samples and purges the batch. If Commit
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// returns a non-nil error, it also rolls back all modifications made in
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// the appender so far, as Rollback would do. In any case, an Appender
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// must not be used anymore after Commit has been called.
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Commit() error
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// Rollback rolls back all modifications made in the appender so far.
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// Appender has to be discarded after rollback.
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Rollback() error
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ExemplarAppender
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HistogramAppender
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MetadataUpdater
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}
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// GetRef is an extra interface on Appenders used by downstream projects
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// (e.g. Cortex) to avoid maintaining a parallel set of references.
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type GetRef interface {
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// Returns reference number that can be used to pass to Appender.Append(),
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// and a set of labels that will not cause another copy when passed to Appender.Append().
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// 0 means the appender does not have a reference to this series.
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// hash should be a hash of lset.
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GetRef(lset labels.Labels, hash uint64) (SeriesRef, labels.Labels)
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}
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// ExemplarAppender provides an interface for adding samples to exemplar storage, which
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// within Prometheus is in-memory only.
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type ExemplarAppender interface {
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// AppendExemplar adds an exemplar for the given series labels.
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// An optional reference number can be provided to accelerate calls.
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// A reference number is returned which can be used to add further
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// exemplars in the same or later transactions.
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// Returned reference numbers are ephemeral and may be rejected in calls
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// to Append() at any point. Adding the sample via Append() returns a new
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// reference number.
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// If the reference is 0 it must not be used for caching.
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// Note that in our current implementation of Prometheus' exemplar storage
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// calls to Append should generate the reference numbers, AppendExemplar
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// generating a new reference number should be considered possible erroneous behaviour and be logged.
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AppendExemplar(ref SeriesRef, l labels.Labels, e exemplar.Exemplar) (SeriesRef, error)
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}
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// HistogramAppender provides an interface for appending histograms to the storage.
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type HistogramAppender interface {
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// AppendHistogram adds a histogram for the given series labels. An
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// optional reference number can be provided to accelerate calls. A
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// reference number is returned which can be used to add further
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// histograms in the same or later transactions. Returned reference
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// numbers are ephemeral and may be rejected in calls to Append() at any
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// point. Adding the sample via Append() returns a new reference number.
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// If the reference is 0, it must not be used for caching.
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//
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// For efficiency reasons, the histogram is passed as a
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// pointer. AppendHistogram won't mutate the histogram, but in turn
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// depends on the caller to not mutate it either.
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AppendHistogram(ref SeriesRef, l labels.Labels, t int64, h *histogram.Histogram, fh *histogram.FloatHistogram) (SeriesRef, error)
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}
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// MetadataUpdater provides an interface for associating metadata to stored series.
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type MetadataUpdater interface {
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// UpdateMetadata updates a metadata entry for the given series and labels.
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// A series reference number is returned which can be used to modify the
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// metadata of the given series in the same or later transactions.
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// Returned reference numbers are ephemeral and may be rejected in calls
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// to UpdateMetadata() at any point. If the series does not exist,
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// UpdateMetadata returns an error.
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// If the reference is 0 it must not be used for caching.
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UpdateMetadata(ref SeriesRef, l labels.Labels, m metadata.Metadata) (SeriesRef, error)
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}
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// SeriesSet contains a set of series.
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type SeriesSet interface {
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Next() bool
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// At returns full series. Returned series should be iterable even after Next is called.
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At() Series
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// The error that iteration as failed with.
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// When an error occurs, set cannot continue to iterate.
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Err() error
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// A collection of warnings for the whole set.
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// Warnings could be return even iteration has not failed with error.
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Warnings() Warnings
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}
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var emptySeriesSet = errSeriesSet{}
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// EmptySeriesSet returns a series set that's always empty.
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func EmptySeriesSet() SeriesSet {
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return emptySeriesSet
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}
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type testSeriesSet struct {
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series Series
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}
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func (s testSeriesSet) Next() bool { return true }
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func (s testSeriesSet) At() Series { return s.series }
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func (s testSeriesSet) Err() error { return nil }
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func (s testSeriesSet) Warnings() Warnings { return nil }
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// TestSeriesSet returns a mock series set
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func TestSeriesSet(series Series) SeriesSet {
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return testSeriesSet{series: series}
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}
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type errSeriesSet struct {
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err error
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}
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func (s errSeriesSet) Next() bool { return false }
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func (s errSeriesSet) At() Series { return nil }
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func (s errSeriesSet) Err() error { return s.err }
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func (s errSeriesSet) Warnings() Warnings { return nil }
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// ErrSeriesSet returns a series set that wraps an error.
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func ErrSeriesSet(err error) SeriesSet {
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return errSeriesSet{err: err}
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}
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var emptyChunkSeriesSet = errChunkSeriesSet{}
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// EmptyChunkSeriesSet returns a chunk series set that's always empty.
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func EmptyChunkSeriesSet() ChunkSeriesSet {
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return emptyChunkSeriesSet
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}
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type errChunkSeriesSet struct {
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err error
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}
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func (s errChunkSeriesSet) Next() bool { return false }
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func (s errChunkSeriesSet) At() ChunkSeries { return nil }
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func (s errChunkSeriesSet) Err() error { return s.err }
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func (s errChunkSeriesSet) Warnings() Warnings { return nil }
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// ErrChunkSeriesSet returns a chunk series set that wraps an error.
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func ErrChunkSeriesSet(err error) ChunkSeriesSet {
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return errChunkSeriesSet{err: err}
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}
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// Series exposes a single time series and allows iterating over samples.
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type Series interface {
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Labels
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SampleIterable
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}
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type mockSeries struct {
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timestamps []int64
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values []float64
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labelSet []string
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}
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func (s mockSeries) Labels() labels.Labels {
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return labels.FromStrings(s.labelSet...)
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}
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func (s mockSeries) Iterator(chunkenc.Iterator) chunkenc.Iterator {
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return chunkenc.MockSeriesIterator(s.timestamps, s.values)
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}
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// MockSeries returns a series with custom timestamps, values and labelSet.
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func MockSeries(timestamps []int64, values []float64, labelSet []string) Series {
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return mockSeries{
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timestamps: timestamps,
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values: values,
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labelSet: labelSet,
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}
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}
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// ChunkSeriesSet contains a set of chunked series.
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type ChunkSeriesSet interface {
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Next() bool
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// At returns full chunk series. Returned series should be iterable even after Next is called.
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At() ChunkSeries
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// The error that iteration has failed with.
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// When an error occurs, set cannot continue to iterate.
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Err() error
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// A collection of warnings for the whole set.
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// Warnings could be return even iteration has not failed with error.
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Warnings() Warnings
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}
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// ChunkSeries exposes a single time series and allows iterating over chunks.
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type ChunkSeries interface {
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Labels
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ChunkIterable
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}
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// Labels represents an item that has labels e.g. time series.
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type Labels interface {
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// Labels returns the complete set of labels. For series it means all labels identifying the series.
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Labels() labels.Labels
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}
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type SampleIterable interface {
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// Iterator returns an iterator of the data of the series.
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// The iterator passed as argument is for re-use, if not nil.
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// Depending on implementation, the iterator can
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// be re-used or a new iterator can be allocated.
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Iterator(chunkenc.Iterator) chunkenc.Iterator
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}
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type ChunkIterable interface {
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// Iterator returns an iterator that iterates over potentially overlapping
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// chunks of the series, sorted by min time.
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Iterator(chunks.Iterator) chunks.Iterator
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}
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type Warnings []error
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