package tsdb import ( "math" "os" "sort" "sync" "github.com/fabxc/tsdb/chunks" "github.com/fabxc/tsdb/labels" ) // HeadBlock handles reads and writes of time series data within a time window. type HeadBlock struct { mtx sync.RWMutex // descs holds all chunk descs for the head block. Each chunk implicitly // is assigned the index as its ID. descs []*chunkDesc // hashes contains a collision map of label set hashes of chunks // to their position in the chunk desc slice. hashes map[uint64][]int values map[string]stringset // label names to possible values postings *memPostings // postings lists for terms wal *WAL stats BlockStats } // NewHeadBlock creates a new empty head block. func NewHeadBlock(dir string, baseTime int64) (*HeadBlock, error) { wal, err := CreateWAL(dir) if err != nil { return nil, err } b := &HeadBlock{ descs: []*chunkDesc{}, hashes: map[uint64][]int{}, values: map[string]stringset{}, postings: &memPostings{m: make(map[term][]uint32)}, wal: wal, } b.stats.MinTime = baseTime return b, nil } // Close syncs all data and closes underlying resources of the head block. func (h *HeadBlock) Close() error { return h.wal.Close() } // Querier returns a new querier over the head block. func (h *HeadBlock) Querier(mint, maxt int64) Querier { return newBlockQuerier(h, h, mint, maxt) } // Chunk returns the chunk for the reference number. func (h *HeadBlock) Chunk(ref uint32) (chunks.Chunk, error) { if int(ref) >= len(h.descs) { return nil, errNotFound } return h.descs[int(ref)].chunk, nil } func (h *HeadBlock) interval() (int64, int64) { return h.stats.MinTime, h.stats.MaxTime } // Stats returns statisitics about the indexed data. func (h *HeadBlock) Stats() (BlockStats, error) { return h.stats, nil } // LabelValues returns the possible label values func (h *HeadBlock) LabelValues(names ...string) (StringTuples, error) { if len(names) != 1 { return nil, errInvalidSize } var sl []string for s := range h.values[names[0]] { sl = append(sl, s) } sort.Strings(sl) t := &stringTuples{ l: len(names), s: sl, } return t, nil } // Postings returns the postings list iterator for the label pair. func (h *HeadBlock) Postings(name, value string) (Postings, error) { return h.postings.get(term{name: name, value: value}), nil } // Series returns the series for the given reference. func (h *HeadBlock) Series(ref uint32, mint, maxt int64) (Series, error) { if int(ref) >= len(h.descs) { return nil, errNotFound } cd := h.descs[ref] if !intervalOverlap(cd.firsTimestamp, cd.lastTimestamp, mint, maxt) { return nil, nil } s := &chunkSeries{ labels: cd.lset, chunks: []ChunkMeta{ {MinTime: h.stats.MinTime, Ref: 0}, }, chunk: func(ref uint32) (chunks.Chunk, error) { return cd.chunk, nil }, } return s, nil } // get retrieves the chunk with the hash and label set and creates // a new one if it doesn't exist yet. func (h *HeadBlock) get(hash uint64, lset labels.Labels) (*chunkDesc, uint32) { refs := h.hashes[hash] for _, ref := range refs { if cd := h.descs[ref]; cd.lset.Equals(lset) { return cd, uint32(ref) } } return nil, 0 } func (h *HeadBlock) create(hash uint64, lset labels.Labels) *chunkDesc { cd := &chunkDesc{ lset: lset, chunk: chunks.NewXORChunk(int(math.MaxInt64)), } // Index the new chunk. ref := len(h.descs) h.descs = append(h.descs, cd) h.hashes[hash] = append(h.hashes[hash], ref) // Add each label pair as a term to the inverted index. terms := make([]term, 0, len(lset)) for _, l := range lset { terms = append(terms, term{name: l.Name, value: l.Value}) valset, ok := h.values[l.Name] if !ok { valset = stringset{} h.values[l.Name] = valset } valset.set(l.Value) } h.postings.add(uint32(ref), terms...) // For the head block there's exactly one chunk per series. h.stats.ChunkCount++ h.stats.SeriesCount++ return cd } func (h *HeadBlock) appendBatch(samples []hashedSample) error { // Find head chunks for all samples and allocate new IDs/refs for // ones we haven't seen before. var ( newSeries []labels.Labels newHashes []uint64 ) for _, s := range samples { cd, ref := h.get(s.hash, s.labels) if cd != nil { // TODO(fabxc): sample refs are only scoped within a block for // now and we ignore any previously set value s.ref = ref continue } s.ref = uint32(len(h.descs) + len(newSeries)) newSeries = append(newSeries, s.labels) newHashes = append(newHashes, s.hash) } // Write all new series and samples to the WAL and add it to the // in-mem database on success. if err := h.wal.Log(newSeries, samples); err != nil { return err } for i, s := range newSeries { h.create(newHashes[i], s) } var merr MultiError for _, s := range samples { // TODO(fabxc): ensure that this won't be able to actually error in practice. if err := h.descs[s.ref].append(s.t, s.v); err != nil { merr.Add(err) continue } h.stats.SampleCount++ if s.t > h.stats.MaxTime { h.stats.MaxTime = s.t } } return merr.Err() } func (h *HeadBlock) persist(p string) (int64, error) { sf, err := os.Create(chunksFileName(p)) if err != nil { return 0, err } xf, err := os.Create(indexFileName(p)) if err != nil { return 0, err } iw := newIndexWriter(xf) sw := newSeriesWriter(sf, iw, h.stats.MinTime) defer sw.Close() defer iw.Close() for ref, cd := range h.descs { if err := sw.WriteSeries(uint32(ref), cd.lset, []*chunkDesc{cd}); err != nil { return 0, err } } if err := iw.WriteStats(h.stats); err != nil { return 0, err } for n, v := range h.values { s := make([]string, 0, len(v)) for x := range v { s = append(s, x) } if err := iw.WriteLabelIndex([]string{n}, s); err != nil { return 0, err } } for t := range h.postings.m { if err := iw.WritePostings(t.name, t.value, h.postings.get(t)); err != nil { return 0, err } } return iw.Size() + sw.Size(), nil }