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package tsdb
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import (
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"errors"
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"math"
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"sort"
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"sync"
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"github.com/bradfitz/slice"
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"github.com/fabxc/tsdb/chunks"
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"github.com/fabxc/tsdb/labels"
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)
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// HeadBlock handles reads and writes of time series data within a time window.
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type HeadBlock struct {
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mtx sync.RWMutex
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d string
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// descs holds all chunk descs for the head block. Each chunk implicitly
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// is assigned the index as its ID.
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descs []*chunkDesc
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// mapping maps a series ID to its position in an ordered list
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// of all series. The orderDirty flag indicates that it has gone stale.
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mapper *positionMapper
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// hashes contains a collision map of label set hashes of chunks
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// to their chunk descs.
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hashes map[uint64][]*chunkDesc
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values map[string]stringset // label names to possible values
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postings *memPostings // postings lists for terms
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wal *WAL
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bstats BlockStats
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}
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// OpenHeadBlock creates a new empty head block.
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func OpenHeadBlock(dir string, baseTime int64) (*HeadBlock, error) {
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wal, err := OpenWAL(dir)
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if err != nil {
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return nil, err
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}
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b := &HeadBlock{
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d: dir,
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descs: []*chunkDesc{},
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hashes: map[uint64][]*chunkDesc{},
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values: map[string]stringset{},
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postings: &memPostings{m: make(map[term][]uint32)},
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wal: wal,
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}
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b.bstats.MinTime = baseTime
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err = wal.ReadAll(&walHandler{
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series: func(lset labels.Labels) {
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b.create(lset.Hash(), lset)
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},
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sample: func(s hashedSample) {
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b.descs[s.ref].append(s.t, s.v)
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b.bstats.SampleCount++
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},
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})
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if err != nil {
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return nil, err
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}
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b.rewriteMapping()
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return b, nil
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}
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// Close syncs all data and closes underlying resources of the head block.
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func (h *HeadBlock) Close() error {
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return h.wal.Close()
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}
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func (h *HeadBlock) dir() string { return h.d }
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func (h *HeadBlock) persisted() bool { return false }
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func (h *HeadBlock) index() IndexReader { return h }
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func (h *HeadBlock) series() SeriesReader { return h }
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func (h *HeadBlock) stats() BlockStats { return h.bstats }
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// Chunk returns the chunk for the reference number.
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func (h *HeadBlock) Chunk(ref uint32) (chunks.Chunk, error) {
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if int(ref) >= len(h.descs) {
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return nil, errNotFound
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}
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return h.descs[int(ref)].chunk, nil
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}
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func (h *HeadBlock) interval() (int64, int64) {
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return h.bstats.MinTime, h.bstats.MaxTime
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}
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// Stats returns statisitics about the indexed data.
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func (h *HeadBlock) Stats() (BlockStats, error) {
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return h.bstats, nil
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}
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// LabelValues returns the possible label values
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func (h *HeadBlock) LabelValues(names ...string) (StringTuples, error) {
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if len(names) != 1 {
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return nil, errInvalidSize
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}
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var sl []string
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for s := range h.values[names[0]] {
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sl = append(sl, s)
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}
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sort.Strings(sl)
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return &stringTuples{l: len(names), s: sl}, nil
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}
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// Postings returns the postings list iterator for the label pair.
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func (h *HeadBlock) Postings(name, value string) (Postings, error) {
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return h.postings.get(term{name: name, value: value}), nil
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}
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// remapPostings changes the order of the postings from their ID to the ordering
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// of the series they reference.
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// Returned postings have no longer monotonic IDs and MUST NOT be used for regular
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// postings set operations, i.e. intersect and merge.
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func (h *HeadBlock) remapPostings(p Postings) Postings {
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list, err := expandPostings(p)
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if err != nil {
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return errPostings{err: err}
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}
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slice.Sort(list, func(i, j int) bool {
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return h.mapper.fw[list[i]] < h.mapper.fw[list[j]]
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})
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return newListPostings(list)
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}
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// Series returns the series for the given reference.
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func (h *HeadBlock) Series(ref uint32) (labels.Labels, []ChunkMeta, error) {
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if int(ref) >= len(h.descs) {
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return nil, nil, errNotFound
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}
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cd := h.descs[ref]
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meta := ChunkMeta{
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MinTime: cd.firstTimestamp,
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MaxTime: cd.lastTimestamp,
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Ref: ref,
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}
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return cd.lset, []ChunkMeta{meta}, nil
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}
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func (h *HeadBlock) LabelIndices() ([][]string, error) {
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res := [][]string{}
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for s := range h.values {
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res = append(res, []string{s})
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}
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return res, nil
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}
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// get retrieves the chunk with the hash and label set and creates
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// a new one if it doesn't exist yet.
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func (h *HeadBlock) get(hash uint64, lset labels.Labels) *chunkDesc {
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cds := h.hashes[hash]
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for _, cd := range cds {
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if cd.lset.Equals(lset) {
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return cd
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}
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}
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return nil
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}
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func (h *HeadBlock) create(hash uint64, lset labels.Labels) *chunkDesc {
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var err error
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cd := &chunkDesc{
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lset: lset,
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chunk: chunks.NewXORChunk(),
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lastTimestamp: math.MinInt64,
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}
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cd.app, err = cd.chunk.Appender()
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if err != nil {
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// Getting an Appender for a new chunk must not panic.
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panic(err)
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}
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// Index the new chunk.
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cd.ref = uint32(len(h.descs))
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h.descs = append(h.descs, cd)
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h.hashes[hash] = append(h.hashes[hash], cd)
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for _, l := range lset {
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valset, ok := h.values[l.Name]
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if !ok {
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valset = stringset{}
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h.values[l.Name] = valset
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}
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valset.set(l.Value)
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h.postings.add(cd.ref, term{name: l.Name, value: l.Value})
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}
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h.postings.add(cd.ref, term{})
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// For the head block there's exactly one chunk per series.
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h.bstats.ChunkCount++
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h.bstats.SeriesCount++
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return cd
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}
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var (
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// ErrOutOfOrderSample is returned if an appended sample has a
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// timestamp larger than the most recent sample.
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ErrOutOfOrderSample = errors.New("out of order sample")
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// ErrAmendSample is returned if an appended sample has the same timestamp
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// as the most recent sample but a different value.
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ErrAmendSample = errors.New("amending sample")
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)
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func (h *HeadBlock) appendBatch(samples []hashedSample) error {
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// Find head chunks for all samples and allocate new IDs/refs for
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// ones we haven't seen before.
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var (
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newSeries []labels.Labels
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newHashes []uint64
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uniqueHashes = map[uint64]uint32{}
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)
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for i := range samples {
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s := &samples[i]
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cd := h.get(s.hash, s.labels)
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if cd != nil {
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// Samples must only occur in order.
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if s.t < cd.lastTimestamp {
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return ErrOutOfOrderSample
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}
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if cd.lastTimestamp == s.t && cd.lastValue != s.v {
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return ErrAmendSample
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}
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// TODO(fabxc): sample refs are only scoped within a block for
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// now and we ignore any previously set value
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s.ref = cd.ref
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continue
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}
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// There may be several samples for a new series in a batch.
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// We don't want to reserve a new space for each.
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if ref, ok := uniqueHashes[s.hash]; ok {
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s.ref = ref
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continue
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}
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s.ref = uint32(len(h.descs) + len(newSeries))
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uniqueHashes[s.hash] = s.ref
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newSeries = append(newSeries, s.labels)
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newHashes = append(newHashes, s.hash)
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}
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// Write all new series and samples to the WAL and add it to the
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// in-mem database on success.
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if err := h.wal.Log(newSeries, samples); err != nil {
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return err
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}
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// After the samples were successfully written to the WAL, there may
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// be no further failures.
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for i, s := range newSeries {
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h.create(newHashes[i], s)
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}
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// TODO(fabxc): just mark as dirty instead and trigger a remapping
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// periodically and upon querying.
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if len(newSeries) > 0 {
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h.rewriteMapping()
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}
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for _, s := range samples {
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cd := h.descs[s.ref]
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// Skip duplicate samples.
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if cd.lastTimestamp == s.t && cd.lastValue != s.v {
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continue
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}
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cd.append(s.t, s.v)
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if s.t > h.bstats.MaxTime {
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h.bstats.MaxTime = s.t
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}
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h.bstats.SampleCount++
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}
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return nil
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}
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func (h *HeadBlock) rewriteMapping() {
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cds := make([]*chunkDesc, len(h.descs))
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copy(cds, h.descs)
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s := slice.SortInterface(cds, func(i, j int) bool {
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return labels.Compare(cds[i].lset, cds[j].lset) < 0
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})
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h.mapper = newPositionMapper(s)
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}
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// positionMapper stores a position mapping from unsorted to
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// sorted indices of a sortable collection.
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type positionMapper struct {
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sortable sort.Interface
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iv, fw []int
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}
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func newPositionMapper(s sort.Interface) *positionMapper {
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m := &positionMapper{
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sortable: s,
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iv: make([]int, s.Len()),
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fw: make([]int, s.Len()),
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}
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for i := range m.iv {
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m.iv[i] = i
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}
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sort.Sort(m)
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for i, k := range m.iv {
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m.fw[k] = i
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}
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return m
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}
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func (m *positionMapper) Len() int { return m.sortable.Len() }
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func (m *positionMapper) Less(i, j int) bool { return m.sortable.Less(i, j) }
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func (m *positionMapper) Swap(i, j int) {
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m.sortable.Swap(i, j)
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m.iv[i], m.iv[j] = m.iv[j], m.iv[i]
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}
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