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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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"time"
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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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"github.com/go-kit/kit/log"
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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, l log.Logger) (*HeadBlock, error) {
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wal, err := OpenWAL(dir, log.NewContext(l).With("component", "wal"), 15*time.Second)
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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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mapper: newPositionMapper(nil),
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}
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b.bstats = &BlockStats{
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MinTime: math.MaxInt64,
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MaxTime: math.MinInt64,
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}
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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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cd := b.descs[s.ref]
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// Duplicated from appendBatch – TODO(fabxc): deduplicate?
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if cd.lastTimestamp == s.t && cd.lastValue != s.v {
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return
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}
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cd.append(s.t, s.v)
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if s.t > b.bstats.MaxTime {
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b.bstats.MaxTime = s.t
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}
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if s.t < b.bstats.MinTime {
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b.bstats.MinTime = s.t
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}
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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.updateMapping()
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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 {
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h.bstats.mtx.RLock()
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defer h.bstats.mtx.RUnlock()
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return *h.bstats
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}
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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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h.mtx.RLock()
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defer h.mtx.RUnlock()
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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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type headSeriesReader struct {
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h *HeadBlock
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}
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func (h *headSeriesReader) Chunk(ref uint32) (chunks.Chunk, error) {
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h.h.mtx.RLock()
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defer h.h.mtx.RUnlock()
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if int(ref) >= len(h.h.descs) {
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return nil, errNotFound
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}
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return &safeChunk{
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cd: h.h.descs[int(ref)],
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}, nil
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}
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type safeChunk struct {
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cd *chunkDesc
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}
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func (c *safeChunk) Iterator() chunks.Iterator {
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c.cd.mtx.Lock()
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defer c.cd.mtx.Unlock()
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return c.cd.iterator()
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}
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func (c *safeChunk) Appender() (chunks.Appender, error) {
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panic("illegal")
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}
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func (c *safeChunk) Bytes() []byte {
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panic("illegal")
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}
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func (c *safeChunk) Encoding() chunks.Encoding {
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panic("illegal")
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}
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func (h *HeadBlock) interval() (int64, int64) {
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h.bstats.mtx.RLock()
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defer h.bstats.mtx.RUnlock()
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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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h.bstats.mtx.RLock()
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defer h.bstats.mtx.RUnlock()
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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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h.mtx.RLock()
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defer h.mtx.RUnlock()
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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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h.mtx.RLock()
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defer h.mtx.RUnlock()
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return h.postings.get(term{name: name, value: value}), nil
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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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h.mtx.RLock()
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defer h.mtx.RUnlock()
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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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cd.mtx.RLock()
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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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cd.mtx.RUnlock()
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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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h.mtx.RLock()
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defer h.mtx.RUnlock()
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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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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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var err error
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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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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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newSamples []*hashedSample
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newHashes []uint64
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uniqueHashes = map[uint64]uint32{}
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)
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h.mtx.RLock()
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defer h.mtx.RUnlock()
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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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newSamples = append(newSamples, s)
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continue
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}
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s.ref = uint32(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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newSamples = append(newSamples, s)
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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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if len(newSeries) > 0 {
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h.mtx.RUnlock()
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h.mtx.Lock()
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base := len(h.descs)
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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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|
for _, s := range newSamples {
|
|
|
|
|
s.ref = uint32(base) + s.ref
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
h.mtx.Unlock()
|
|
|
|
|
h.mtx.RLock()
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
var (
|
|
|
|
|
total = uint64(len(samples))
|
|
|
|
|
mint = int64(math.MaxInt64)
|
|
|
|
|
maxt = int64(math.MinInt64)
|
|
|
|
|
)
|
|
|
|
|
for _, s := range samples {
|
|
|
|
|
cd := h.descs[s.ref]
|
|
|
|
|
cd.mtx.Lock()
|
|
|
|
|
// Skip duplicate samples.
|
|
|
|
|
if cd.lastTimestamp == s.t && cd.lastValue != s.v {
|
|
|
|
|
total--
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
cd.append(s.t, s.v)
|
|
|
|
|
cd.mtx.Unlock()
|
|
|
|
|
|
|
|
|
|
if mint > s.t {
|
|
|
|
|
mint = s.t
|
|
|
|
|
}
|
|
|
|
|
if maxt < s.t {
|
|
|
|
|
maxt = s.t
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
h.bstats.mtx.Lock()
|
|
|
|
|
defer h.bstats.mtx.Unlock()
|
|
|
|
|
|
|
|
|
|
h.bstats.SampleCount += total
|
|
|
|
|
h.bstats.SeriesCount += uint64(len(newSeries))
|
|
|
|
|
h.bstats.ChunkCount += uint64(len(newSeries)) // head block has one chunk/series
|
|
|
|
|
|
|
|
|
|
if mint < h.bstats.MinTime {
|
|
|
|
|
h.bstats.MinTime = mint
|
|
|
|
|
}
|
|
|
|
|
if maxt > h.bstats.MaxTime {
|
|
|
|
|
h.bstats.MaxTime = maxt
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
return nil
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (h *HeadBlock) fullness() float64 {
|
|
|
|
|
h.bstats.mtx.RLock()
|
|
|
|
|
defer h.bstats.mtx.RUnlock()
|
|
|
|
|
|
|
|
|
|
return float64(h.bstats.SampleCount) / float64(h.bstats.SeriesCount+1) / 250
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (h *HeadBlock) updateMapping() {
|
|
|
|
|
h.mapper.mtx.Lock()
|
|
|
|
|
defer h.mapper.mtx.Unlock()
|
|
|
|
|
|
|
|
|
|
h.mtx.RLock()
|
|
|
|
|
|
|
|
|
|
if h.mapper.sortable != nil && h.mapper.Len() == len(h.descs) {
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
cds := make([]*chunkDesc, len(h.descs))
|
|
|
|
|
copy(cds, h.descs)
|
|
|
|
|
|
|
|
|
|
h.mtx.RUnlock()
|
|
|
|
|
|
|
|
|
|
s := slice.SortInterface(cds, func(i, j int) bool {
|
|
|
|
|
return labels.Compare(cds[i].lset, cds[j].lset) < 0
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
h.mapper.update(s)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// remapPostings changes the order of the postings from their ID to the ordering
|
|
|
|
|
// of the series they reference.
|
|
|
|
|
// Returned postings have no longer monotonic IDs and MUST NOT be used for regular
|
|
|
|
|
// postings set operations, i.e. intersect and merge.
|
|
|
|
|
func (h *HeadBlock) remapPostings(p Postings) Postings {
|
|
|
|
|
list, err := expandPostings(p)
|
|
|
|
|
if err != nil {
|
|
|
|
|
return errPostings{err: err}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
h.mapper.mtx.RLock()
|
|
|
|
|
defer h.mapper.mtx.RUnlock()
|
|
|
|
|
|
|
|
|
|
h.mapper.Sort(list)
|
|
|
|
|
|
|
|
|
|
slice.Sort(list, func(i, j int) bool {
|
|
|
|
|
return h.mapper.fw[list[i]] < h.mapper.fw[list[j]]
|
|
|
|
|
})
|
|
|
|
|
|
|
|
|
|
return newListPostings(list)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// chunkDesc wraps a plain data chunk and provides cached meta data about it.
|
|
|
|
|
type chunkDesc struct {
|
|
|
|
|
mtx sync.RWMutex
|
|
|
|
|
|
|
|
|
|
ref uint32
|
|
|
|
|
lset labels.Labels
|
|
|
|
|
chunk chunks.Chunk
|
|
|
|
|
|
|
|
|
|
// Caching fielddb.
|
|
|
|
|
firstTimestamp int64
|
|
|
|
|
lastTimestamp int64
|
|
|
|
|
lastValue float64
|
|
|
|
|
numSamples int
|
|
|
|
|
|
|
|
|
|
sampleBuf [4]sample
|
|
|
|
|
|
|
|
|
|
app chunks.Appender // Current appender for the chunkdb.
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (cd *chunkDesc) append(ts int64, v float64) {
|
|
|
|
|
if cd.numSamples == 0 {
|
|
|
|
|
cd.firstTimestamp = ts
|
|
|
|
|
}
|
|
|
|
|
cd.app.Append(ts, v)
|
|
|
|
|
|
|
|
|
|
cd.lastTimestamp = ts
|
|
|
|
|
cd.lastValue = v
|
|
|
|
|
cd.numSamples++
|
|
|
|
|
|
|
|
|
|
cd.sampleBuf[0] = cd.sampleBuf[1]
|
|
|
|
|
cd.sampleBuf[1] = cd.sampleBuf[2]
|
|
|
|
|
cd.sampleBuf[2] = cd.sampleBuf[3]
|
|
|
|
|
cd.sampleBuf[3] = sample{t: ts, v: v}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (cd *chunkDesc) iterator() chunks.Iterator {
|
|
|
|
|
it := &memSafeIterator{
|
|
|
|
|
Iterator: cd.chunk.Iterator(),
|
|
|
|
|
i: -1,
|
|
|
|
|
total: cd.numSamples,
|
|
|
|
|
buf: cd.sampleBuf,
|
|
|
|
|
}
|
|
|
|
|
return it
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
type memSafeIterator struct {
|
|
|
|
|
chunks.Iterator
|
|
|
|
|
|
|
|
|
|
i int
|
|
|
|
|
total int
|
|
|
|
|
buf [4]sample
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (it *memSafeIterator) Next() bool {
|
|
|
|
|
if it.i+1 >= it.total {
|
|
|
|
|
return false
|
|
|
|
|
}
|
|
|
|
|
it.i++
|
|
|
|
|
if it.total-it.i > 4 {
|
|
|
|
|
return it.Iterator.Next()
|
|
|
|
|
}
|
|
|
|
|
return true
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (it *memSafeIterator) At() (int64, float64) {
|
|
|
|
|
if it.total-it.i > 4 {
|
|
|
|
|
return it.Iterator.At()
|
|
|
|
|
}
|
|
|
|
|
s := it.buf[4-(it.total-it.i)]
|
|
|
|
|
return s.t, s.v
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// positionMapper stores a position mapping from unsorted to
|
|
|
|
|
// sorted indices of a sortable collection.
|
|
|
|
|
type positionMapper struct {
|
|
|
|
|
mtx sync.RWMutex
|
|
|
|
|
sortable sort.Interface
|
|
|
|
|
iv, fw []int
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func newPositionMapper(s sort.Interface) *positionMapper {
|
|
|
|
|
m := &positionMapper{}
|
|
|
|
|
if s != nil {
|
|
|
|
|
m.update(s)
|
|
|
|
|
}
|
|
|
|
|
return m
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (m *positionMapper) Len() int { return m.sortable.Len() }
|
|
|
|
|
func (m *positionMapper) Less(i, j int) bool { return m.sortable.Less(i, j) }
|
|
|
|
|
|
|
|
|
|
func (m *positionMapper) Swap(i, j int) {
|
|
|
|
|
m.sortable.Swap(i, j)
|
|
|
|
|
|
|
|
|
|
m.iv[i], m.iv[j] = m.iv[j], m.iv[i]
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (m *positionMapper) Sort(l []uint32) {
|
|
|
|
|
slice.Sort(l, func(i, j int) bool {
|
|
|
|
|
return m.fw[l[i]] < m.fw[l[j]]
|
|
|
|
|
})
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func (m *positionMapper) update(s sort.Interface) {
|
|
|
|
|
m.sortable = s
|
|
|
|
|
|
|
|
|
|
m.iv = make([]int, s.Len())
|
|
|
|
|
m.fw = make([]int, s.Len())
|
|
|
|
|
|
|
|
|
|
for i := range m.iv {
|
|
|
|
|
m.iv[i] = i
|
|
|
|
|
}
|
|
|
|
|
sort.Sort(m)
|
|
|
|
|
|
|
|
|
|
for i, k := range m.iv {
|
|
|
|
|
m.fw[k] = i
|
|
|
|
|
}
|
|
|
|
|
}
|