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771 lines
16 KiB
771 lines
16 KiB
// Copyright 2017 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 tsdb
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import (
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"fmt"
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"sort"
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"strings"
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"github.com/prometheus/tsdb/chunks"
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"github.com/prometheus/tsdb/labels"
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)
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// Querier provides querying access over time series data of a fixed
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// time range.
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type Querier interface {
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// Select returns a set of series that matches the given label matchers.
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Select(...labels.Matcher) SeriesSet
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// LabelValues returns all potential values for a label name.
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LabelValues(string) ([]string, error)
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// LabelValuesFor returns all potential values for a label name.
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// under the constraint of another label.
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LabelValuesFor(string, labels.Label) ([]string, 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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// Series represents a single time series.
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type Series interface {
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// Labels returns the complete set of labels identifying the series.
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Labels() labels.Labels
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// Iterator returns a new iterator of the data of the series.
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Iterator() SeriesIterator
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}
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// querier aggregates querying results from time blocks within
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// a single partition.
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type querier struct {
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db *DB
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blocks []Querier
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}
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// Querier returns a new querier over the data partition for the given
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// time range.
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func (s *DB) Querier(mint, maxt int64) Querier {
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s.mtx.RLock()
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s.headmtx.RLock()
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blocks := s.blocksForInterval(mint, maxt)
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s.headmtx.RUnlock()
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sq := &querier{
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blocks: make([]Querier, 0, len(blocks)),
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db: s,
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}
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for _, b := range blocks {
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sq.blocks = append(sq.blocks, b.Querier(mint, maxt))
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}
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return sq
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}
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func (q *querier) LabelValues(n string) ([]string, error) {
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if len(q.blocks) == 0 {
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return nil, nil
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}
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res, err := q.blocks[0].LabelValues(n)
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if err != nil {
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return nil, err
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}
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for _, bq := range q.blocks[1:] {
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pr, err := bq.LabelValues(n)
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if err != nil {
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return nil, err
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}
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// Merge new values into deduplicated result.
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res = mergeStrings(res, pr)
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}
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return res, nil
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}
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func (q *querier) LabelValuesFor(string, labels.Label) ([]string, error) {
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return nil, fmt.Errorf("not implemented")
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}
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func (q *querier) Select(ms ...labels.Matcher) SeriesSet {
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// Sets from different blocks have no time overlap. The reference numbers
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// they emit point to series sorted in lexicographic order.
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// We can fully connect partial series by simply comparing with the previous
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// label set.
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if len(q.blocks) == 0 {
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return nopSeriesSet{}
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}
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r := q.blocks[0].Select(ms...)
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for _, s := range q.blocks[1:] {
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r = newMergedSeriesSet(r, s.Select(ms...))
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}
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return r
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}
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func (q *querier) Close() error {
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var merr MultiError
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for _, bq := range q.blocks {
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merr.Add(bq.Close())
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}
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q.db.mtx.RUnlock()
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return merr.Err()
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}
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// blockQuerier provides querying access to a single block database.
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type blockQuerier struct {
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index IndexReader
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chunks ChunkReader
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tombstones TombstoneReader
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postingsMapper func(Postings) Postings
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mint, maxt int64
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}
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func (q *blockQuerier) Select(ms ...labels.Matcher) SeriesSet {
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pr := newPostingsReader(q.index)
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p, absent := pr.Select(ms...)
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if q.postingsMapper != nil {
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p = q.postingsMapper(p)
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}
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return &blockSeriesSet{
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set: &populatedChunkSeries{
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set: &baseChunkSeries{
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p: p,
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index: q.index,
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absent: absent,
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tombstones: q.tombstones,
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},
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chunks: q.chunks,
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mint: q.mint,
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maxt: q.maxt,
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},
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mint: q.mint,
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maxt: q.maxt,
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}
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}
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func (q *blockQuerier) LabelValues(name string) ([]string, error) {
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tpls, err := q.index.LabelValues(name)
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if err != nil {
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return nil, err
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}
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res := make([]string, 0, tpls.Len())
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for i := 0; i < tpls.Len(); i++ {
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vals, err := tpls.At(i)
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if err != nil {
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return nil, err
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}
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res = append(res, vals[0])
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}
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return res, nil
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}
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func (q *blockQuerier) LabelValuesFor(string, labels.Label) ([]string, error) {
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return nil, fmt.Errorf("not implemented")
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}
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func (q *blockQuerier) Close() error {
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return nil
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}
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// postingsReader is used to select matching postings from an IndexReader.
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type postingsReader struct {
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index IndexReader
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}
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func newPostingsReader(i IndexReader) *postingsReader {
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return &postingsReader{index: i}
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}
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func (r *postingsReader) Select(ms ...labels.Matcher) (Postings, []string) {
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var (
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its []Postings
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absent []string
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)
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for _, m := range ms {
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// If the matcher checks absence of a label, don't select them
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// but propagate the check into the series set.
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if _, ok := m.(*labels.EqualMatcher); ok && m.Matches("") {
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absent = append(absent, m.Name())
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continue
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}
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its = append(its, r.selectSingle(m))
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}
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p := Intersect(its...)
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return p, absent
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}
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func (r *postingsReader) selectSingle(m labels.Matcher) Postings {
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// Fast-path for equal matching.
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if em, ok := m.(*labels.EqualMatcher); ok {
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it, err := r.index.Postings(em.Name(), em.Value())
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if err != nil {
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return errPostings{err: err}
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}
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return it
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}
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// TODO(fabxc): use interface upgrading to provide fast solution
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// for prefix matches. Tuples are lexicographically sorted.
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tpls, err := r.index.LabelValues(m.Name())
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if err != nil {
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return errPostings{err: err}
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}
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var res []string
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for i := 0; i < tpls.Len(); i++ {
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vals, err := tpls.At(i)
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if err != nil {
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return errPostings{err: err}
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}
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if m.Matches(vals[0]) {
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res = append(res, vals[0])
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}
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}
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if len(res) == 0 {
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return emptyPostings
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}
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var rit []Postings
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for _, v := range res {
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it, err := r.index.Postings(m.Name(), v)
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if err != nil {
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return errPostings{err: err}
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}
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rit = append(rit, it)
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}
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return Merge(rit...)
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}
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func mergeStrings(a, b []string) []string {
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maxl := len(a)
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if len(b) > len(a) {
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maxl = len(b)
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}
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res := make([]string, 0, maxl*10/9)
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for len(a) > 0 && len(b) > 0 {
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d := strings.Compare(a[0], b[0])
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if d == 0 {
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res = append(res, a[0])
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a, b = a[1:], b[1:]
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} else if d < 0 {
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res = append(res, a[0])
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a = a[1:]
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} else if d > 0 {
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res = append(res, b[0])
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b = b[1:]
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}
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}
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// Append all remaining elements.
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res = append(res, a...)
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res = append(res, b...)
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return res
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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() Series
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Err() error
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}
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type nopSeriesSet struct{}
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func (nopSeriesSet) Next() bool { return false }
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func (nopSeriesSet) At() Series { return nil }
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func (nopSeriesSet) Err() error { return nil }
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// mergedSeriesSet takes two series sets as a single series set. The input series sets
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// must be sorted and sequential in time, i.e. if they have the same label set,
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// the datapoints of a must be before the datapoints of b.
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type mergedSeriesSet struct {
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a, b SeriesSet
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cur Series
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adone, bdone bool
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}
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func newMergedSeriesSet(a, b SeriesSet) *mergedSeriesSet {
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s := &mergedSeriesSet{a: a, b: b}
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// Initialize first elements of both sets as Next() needs
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// one element look-ahead.
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s.adone = !s.a.Next()
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s.bdone = !s.b.Next()
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return s
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}
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func (s *mergedSeriesSet) At() Series {
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return s.cur
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}
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func (s *mergedSeriesSet) Err() error {
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if s.a.Err() != nil {
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return s.a.Err()
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}
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return s.b.Err()
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}
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func (s *mergedSeriesSet) compare() int {
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if s.adone {
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return 1
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}
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if s.bdone {
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return -1
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}
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return labels.Compare(s.a.At().Labels(), s.b.At().Labels())
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}
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func (s *mergedSeriesSet) Next() bool {
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if s.adone && s.bdone || s.Err() != nil {
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return false
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}
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d := s.compare()
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// Both sets contain the current series. Chain them into a single one.
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if d > 0 {
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s.cur = s.b.At()
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s.bdone = !s.b.Next()
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} else if d < 0 {
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s.cur = s.a.At()
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s.adone = !s.a.Next()
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} else {
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s.cur = &chainedSeries{series: []Series{s.a.At(), s.b.At()}}
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s.adone = !s.a.Next()
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s.bdone = !s.b.Next()
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}
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return true
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}
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type chunkSeriesSet interface {
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Next() bool
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At() (labels.Labels, []*ChunkMeta, intervals)
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Err() error
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}
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// baseChunkSeries loads the label set and chunk references for a postings
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// list from an index. It filters out series that have labels set that should be unset.
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type baseChunkSeries struct {
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p Postings
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index IndexReader
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tombstones TombstoneReader
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absent []string // labels that must be unset in results.
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lset labels.Labels
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chks []*ChunkMeta
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intervals intervals
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err error
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}
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func (s *baseChunkSeries) At() (labels.Labels, []*ChunkMeta, intervals) {
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return s.lset, s.chks, s.intervals
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}
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func (s *baseChunkSeries) Err() error { return s.err }
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func (s *baseChunkSeries) Next() bool {
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Outer:
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for s.p.Next() {
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ref := s.p.At()
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lset, chunks, err := s.index.Series(ref)
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if err != nil {
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s.err = err
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return false
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}
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// If a series contains a label that must be absent, it is skipped as well.
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for _, abs := range s.absent {
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if lset.Get(abs) != "" {
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continue Outer
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}
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}
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s.lset = lset
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s.chks = chunks
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s.intervals = s.tombstones.Get(s.p.At())
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if len(s.intervals) > 0 {
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// Only those chunks that are not entirely deleted.
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chks := make([]*ChunkMeta, 0, len(s.chks))
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for _, chk := range s.chks {
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if !(interval{chk.MinTime, chk.MaxTime}.isSubrange(s.intervals)) {
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chks = append(chks, chk)
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}
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}
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s.chks = chks
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}
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return true
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}
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if err := s.p.Err(); err != nil {
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s.err = err
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}
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return false
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}
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// populatedChunkSeries loads chunk data from a store for a set of series
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// with known chunk references. It filters out chunks that do not fit the
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// given time range.
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type populatedChunkSeries struct {
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set chunkSeriesSet
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chunks ChunkReader
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mint, maxt int64
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err error
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chks []*ChunkMeta
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lset labels.Labels
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intervals intervals
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}
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func (s *populatedChunkSeries) At() (labels.Labels, []*ChunkMeta, intervals) {
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return s.lset, s.chks, s.intervals
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}
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func (s *populatedChunkSeries) Err() error { return s.err }
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func (s *populatedChunkSeries) Next() bool {
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for s.set.Next() {
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lset, chks, dranges := s.set.At()
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for len(chks) > 0 {
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if chks[0].MaxTime >= s.mint {
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break
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}
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chks = chks[1:]
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}
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// Break out at the first chunk that has no overlap with mint, maxt.
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for i, c := range chks {
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if c.MinTime > s.maxt {
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chks = chks[:i]
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break
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}
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c.Chunk, s.err = s.chunks.Chunk(c.Ref)
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if s.err != nil {
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return false
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}
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}
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if len(chks) == 0 {
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continue
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}
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s.lset = lset
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s.chks = chks
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s.intervals = dranges
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return true
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}
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if err := s.set.Err(); err != nil {
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s.err = err
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}
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return false
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}
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// blockSeriesSet is a set of series from an inverted index query.
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type blockSeriesSet struct {
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set chunkSeriesSet
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err error
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cur Series
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mint, maxt int64
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}
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func (s *blockSeriesSet) Next() bool {
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for s.set.Next() {
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lset, chunks, dranges := s.set.At()
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s.cur = &chunkSeries{
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labels: lset,
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chunks: chunks,
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mint: s.mint,
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maxt: s.maxt,
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intervals: dranges,
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}
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return true
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}
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if s.set.Err() != nil {
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s.err = s.set.Err()
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}
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return false
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}
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func (s *blockSeriesSet) At() Series { return s.cur }
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func (s *blockSeriesSet) Err() error { return s.err }
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|
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// chunkSeries is a series that is backed by a sequence of chunks holding
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// time series data.
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type chunkSeries struct {
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labels labels.Labels
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chunks []*ChunkMeta // in-order chunk refs
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mint, maxt int64
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intervals intervals
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}
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func (s *chunkSeries) Labels() labels.Labels {
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return s.labels
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}
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func (s *chunkSeries) Iterator() SeriesIterator {
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return newChunkSeriesIterator(s.chunks, s.intervals, s.mint, s.maxt)
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}
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|
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// SeriesIterator iterates over the data of a time series.
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type SeriesIterator interface {
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// Seek advances the iterator forward to the given timestamp.
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// If there's no value exactly at t, it advances to the first value
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// after t.
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Seek(t int64) bool
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// At returns the current timestamp/value pair.
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At() (t int64, v float64)
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// Next advances the iterator by one.
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Next() bool
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// Err returns the current error.
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Err() error
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}
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|
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// chainedSeries implements a series for a list of time-sorted series.
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// They all must have the same labels.
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type chainedSeries struct {
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series []Series
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}
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func (s *chainedSeries) Labels() labels.Labels {
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return s.series[0].Labels()
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}
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|
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func (s *chainedSeries) Iterator() SeriesIterator {
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return newChainedSeriesIterator(s.series...)
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}
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|
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// chainedSeriesIterator implements a series iterater over a list
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// of time-sorted, non-overlapping iterators.
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|
type chainedSeriesIterator struct {
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series []Series // series in time order
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|
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i int
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cur SeriesIterator
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}
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|
|
func newChainedSeriesIterator(s ...Series) *chainedSeriesIterator {
|
|
return &chainedSeriesIterator{
|
|
series: s,
|
|
i: 0,
|
|
cur: s[0].Iterator(),
|
|
}
|
|
}
|
|
|
|
func (it *chainedSeriesIterator) Seek(t int64) bool {
|
|
// We just scan the chained series sequentially as they are already
|
|
// pre-selected by relevant time and should be accessed sequentially anyway.
|
|
for i, s := range it.series[it.i:] {
|
|
cur := s.Iterator()
|
|
if !cur.Seek(t) {
|
|
continue
|
|
}
|
|
it.cur = cur
|
|
it.i += i
|
|
return true
|
|
}
|
|
return false
|
|
}
|
|
|
|
func (it *chainedSeriesIterator) Next() bool {
|
|
if it.cur.Next() {
|
|
return true
|
|
}
|
|
if err := it.cur.Err(); err != nil {
|
|
return false
|
|
}
|
|
if it.i == len(it.series)-1 {
|
|
return false
|
|
}
|
|
|
|
it.i++
|
|
it.cur = it.series[it.i].Iterator()
|
|
|
|
return it.Next()
|
|
}
|
|
|
|
func (it *chainedSeriesIterator) At() (t int64, v float64) {
|
|
return it.cur.At()
|
|
}
|
|
|
|
func (it *chainedSeriesIterator) Err() error {
|
|
return it.cur.Err()
|
|
}
|
|
|
|
// chunkSeriesIterator implements a series iterator on top
|
|
// of a list of time-sorted, non-overlapping chunks.
|
|
type chunkSeriesIterator struct {
|
|
chunks []*ChunkMeta
|
|
|
|
i int
|
|
cur chunks.Iterator
|
|
|
|
maxt, mint int64
|
|
|
|
intervals intervals
|
|
}
|
|
|
|
func newChunkSeriesIterator(cs []*ChunkMeta, dranges intervals, mint, maxt int64) *chunkSeriesIterator {
|
|
it := cs[0].Chunk.Iterator()
|
|
if len(dranges) > 0 {
|
|
it = &deletedIterator{it: it, intervals: dranges}
|
|
}
|
|
return &chunkSeriesIterator{
|
|
chunks: cs,
|
|
i: 0,
|
|
cur: it,
|
|
|
|
mint: mint,
|
|
maxt: maxt,
|
|
|
|
intervals: dranges,
|
|
}
|
|
}
|
|
|
|
func (it *chunkSeriesIterator) Seek(t int64) (ok bool) {
|
|
if t > it.maxt {
|
|
return false
|
|
}
|
|
|
|
// Seek to the first valid value after t.
|
|
if t < it.mint {
|
|
t = it.mint
|
|
}
|
|
|
|
// Only do binary search forward to stay in line with other iterators
|
|
// that can only move forward.
|
|
x := sort.Search(len(it.chunks[it.i:]), func(i int) bool {
|
|
return it.chunks[it.i+i].MinTime >= t
|
|
})
|
|
x += it.i
|
|
|
|
// If the timestamp was not found, it might be in the last chunk.
|
|
if x == len(it.chunks) {
|
|
x--
|
|
|
|
// Go to previous chunk if the chunk doesn't exactly start with t.
|
|
// If we are already at the first chunk, we use it as it's the best we have.
|
|
} else if x > 0 && it.chunks[x].MinTime > t {
|
|
x--
|
|
}
|
|
|
|
it.i = x
|
|
it.cur = it.chunks[x].Chunk.Iterator()
|
|
if len(it.intervals) > 0 {
|
|
it.cur = &deletedIterator{it: it.cur, intervals: it.intervals}
|
|
}
|
|
|
|
for it.cur.Next() {
|
|
t0, _ := it.cur.At()
|
|
if t0 >= t {
|
|
return true
|
|
}
|
|
}
|
|
return false
|
|
}
|
|
|
|
func (it *chunkSeriesIterator) At() (t int64, v float64) {
|
|
return it.cur.At()
|
|
}
|
|
|
|
func (it *chunkSeriesIterator) Next() bool {
|
|
for it.cur.Next() {
|
|
t, _ := it.cur.At()
|
|
if t < it.mint {
|
|
return it.Seek(it.mint)
|
|
}
|
|
|
|
if t > it.maxt {
|
|
return false
|
|
}
|
|
|
|
return true
|
|
}
|
|
|
|
if err := it.cur.Err(); err != nil {
|
|
return false
|
|
}
|
|
if it.i == len(it.chunks)-1 {
|
|
return false
|
|
}
|
|
|
|
it.i++
|
|
it.cur = it.chunks[it.i].Chunk.Iterator()
|
|
if len(it.intervals) > 0 {
|
|
it.cur = &deletedIterator{it: it.cur, intervals: it.intervals}
|
|
}
|
|
|
|
return it.Next()
|
|
}
|
|
|
|
func (it *chunkSeriesIterator) Err() error {
|
|
return it.cur.Err()
|
|
}
|
|
|
|
type mockSeriesSet struct {
|
|
next func() bool
|
|
series func() Series
|
|
err func() error
|
|
}
|
|
|
|
func (m *mockSeriesSet) Next() bool { return m.next() }
|
|
func (m *mockSeriesSet) At() Series { return m.series() }
|
|
func (m *mockSeriesSet) Err() error { return m.err() }
|
|
|
|
func newListSeriesSet(list []Series) *mockSeriesSet {
|
|
i := -1
|
|
return &mockSeriesSet{
|
|
next: func() bool {
|
|
i++
|
|
return i < len(list)
|
|
},
|
|
series: func() Series {
|
|
return list[i]
|
|
},
|
|
err: func() error { return nil },
|
|
}
|
|
}
|
|
|
|
type errSeriesSet struct {
|
|
err error
|
|
}
|
|
|
|
func (s errSeriesSet) Next() bool { return false }
|
|
func (s errSeriesSet) At() Series { return nil }
|
|
func (s errSeriesSet) Err() error { return s.err }
|