mirror of
https://github.com/prometheus/prometheus.git
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69edd8709b
Return annotations (warnings and infos) from PromQL queries This generalizes the warnings we have already used before (but only for problems with remote read) as "annotations". Annotations can be warnings or infos (the latter could be false positives). We do not treat them different in the API for now and return them all as "warnings". It would be easy to distinguish them and return infos separately, should that appear useful in the future. The new annotations are then used to create a lot of warnings or infos during PromQL evaluations. Partially these are things we have wanted for a long time (e.g. inform the user that they have applied `rate` to a metric that doesn't look like a counter), but the new native histograms have created even more needs for those annotations (e.g. if a query tries to aggregate float numbers with histograms). The annotations added here are not yet complete. A prominent example would be a warning about a range too short for a rate calculation. But such a warnings is more tricky to create with good fidelity and we will tackle it later. Another TODO is to take annotations into account when evaluating recording rules. --------- Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
437 lines
18 KiB
Go
437 lines
18 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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"github.com/prometheus/prometheus/util/annotations"
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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(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(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(ctx context.Context, 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(context.Context, string, ...*labels.Matcher) ([]string, annotations.Annotations, error) {
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return nil, nil, nil
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}
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func (q *MockQuerier) LabelNames(context.Context, ...*labels.Matcher) ([]string, annotations.Annotations, 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(_ context.Context, 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(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(ctx context.Context, 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(ctx context.Context, name string, matchers ...*labels.Matcher) ([]string, annotations.Annotations, 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(ctx context.Context, matchers ...*labels.Matcher) ([]string, annotations.Annotations, 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(mint, maxt int64) (Querier, error)
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// Querier calls f() with the given parameters.
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func (f QueryableFunc) Querier(mint, maxt int64) (Querier, error) {
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return f(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() annotations.Annotations
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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() annotations.Annotations { 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() annotations.Annotations { 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() annotations.Annotations { 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() annotations.Annotations
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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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