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storage: histogram support in memoized_iterator
Signed-off-by: beorn7 <beorn@grafana.com>
This commit is contained in:
parent
9b30ca2598
commit
73858d7f82
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@ -47,7 +47,7 @@ type Histogram struct {
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ZeroCount uint64
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// Total number of observations.
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Count uint64
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// Sum of observations.
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// Sum of observations. This is also used as the stale marker.
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Sum float64
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// Spans for positive and negative buckets (see Span below).
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PositiveSpans, NegativeSpans []Span
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@ -35,6 +35,7 @@ import (
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"github.com/prometheus/common/model"
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"github.com/uber/jaeger-client-go"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/pkg/labels"
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"github.com/prometheus/prometheus/pkg/timestamp"
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"github.com/prometheus/prometheus/pkg/value"
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@ -1475,10 +1476,10 @@ func (ev *evaluator) eval(expr parser.Expr) (parser.Value, storage.Warnings) {
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}
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for ts := ev.startTimestamp; ts <= ev.endTimestamp; ts += ev.interval {
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_, v, ok := ev.vectorSelectorSingle(it, e, ts)
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_, v, h, ok := ev.vectorSelectorSingle(it, e, ts)
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if ok {
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if ev.currentSamples < ev.maxSamples {
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ss.Points = append(ss.Points, Point{V: v, T: ts})
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ss.Points = append(ss.Points, Point{V: v, H: h, T: ts})
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ev.currentSamples++
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} else {
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ev.error(ErrTooManySamples(env))
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@ -1601,11 +1602,11 @@ func (ev *evaluator) vectorSelector(node *parser.VectorSelector, ts int64) (Vect
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for i, s := range node.Series {
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it.Reset(s.Iterator())
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t, v, ok := ev.vectorSelectorSingle(it, node, ts)
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t, v, h, ok := ev.vectorSelectorSingle(it, node, ts)
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if ok {
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vec = append(vec, Sample{
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Metric: node.Series[i].Labels(),
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Point: Point{V: v, T: t},
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Point: Point{V: v, H: h, T: t},
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})
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ev.currentSamples++
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@ -1618,33 +1619,37 @@ func (ev *evaluator) vectorSelector(node *parser.VectorSelector, ts int64) (Vect
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return vec, ws
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}
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// vectorSelectorSingle evaluates a instant vector for the iterator of one time series.
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func (ev *evaluator) vectorSelectorSingle(it *storage.MemoizedSeriesIterator, node *parser.VectorSelector, ts int64) (int64, float64, bool) {
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// vectorSelectorSingle evaluates an instant vector for the iterator of one time series.
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func (ev *evaluator) vectorSelectorSingle(it *storage.MemoizedSeriesIterator, node *parser.VectorSelector, ts int64) (int64, float64, *histogram.Histogram, bool) {
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refTime := ts - durationMilliseconds(node.Offset)
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var t int64
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var v float64
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var h *histogram.Histogram
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ok := it.Seek(refTime)
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if !ok {
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valueType := it.Seek(refTime)
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switch valueType {
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case storage.ValNone:
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if it.Err() != nil {
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ev.error(it.Err())
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}
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}
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if ok {
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case storage.ValFloat:
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t, v = it.Values()
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case storage.ValHistogram:
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t, h = it.HistogramValues()
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default:
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panic(fmt.Errorf("unknown value type %v", valueType))
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}
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if !ok || t > refTime {
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t, v, ok = it.PeekPrev()
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if valueType == storage.ValNone || t > refTime {
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var ok bool
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t, v, h, ok = it.PeekPrev()
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if !ok || t < refTime-durationMilliseconds(ev.lookbackDelta) {
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return 0, 0, false
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return 0, 0, nil, false
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}
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}
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if value.IsStaleNaN(v) {
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return 0, 0, false
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if value.IsStaleNaN(v) || (h != nil && value.IsStaleNaN(h.Sum)) {
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return 0, 0, nil, false
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}
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return t, v, true
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return t, v, h, true
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}
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var pointPool = sync.Pool{}
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@ -2455,11 +2455,11 @@ func TestSparseHistogramRate(t *testing.T) {
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require.NoError(t, test.Run())
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engine := test.QueryEngine()
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//queryString := fmt.Sprintf("rate(%s[1m])", seriesName)
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queryString := fmt.Sprintf("%s", seriesName)
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queryString := fmt.Sprintf("rate(%s[1m])", seriesName)
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// TODO(beorn7): "%s" returns a float but "%s[1m]" returns matrix of histograms.
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qry, err := engine.NewInstantQuery(test.Queryable(), queryString, timestamp.Time(int64(5*time.Minute/time.Millisecond)))
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require.NoError(t, err)
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res := qry.Exec(test.Context())
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require.NoError(t, res.Err)
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fmt.Println(res)
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//fmt.Println(res)
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}
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@ -16,20 +16,31 @@ package storage
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import (
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"math"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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)
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// ValueType defines the type of a value in the storage.
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type ValueType int
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const (
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ValNone ValueType = iota
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ValFloat
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ValHistogram
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)
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// MemoizedSeriesIterator wraps an iterator with a buffer to look back the previous element.
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type MemoizedSeriesIterator struct {
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it chunkenc.Iterator
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delta int64
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lastTime int64
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ok bool
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valueType ValueType
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// Keep track of the previously returned value.
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prevTime int64
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prevValue float64
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prevHistogram *histogram.Histogram
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}
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// NewMemoizedEmptyIterator is like NewMemoizedIterator but it's initialised with an empty iterator.
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@ -53,22 +64,26 @@ func NewMemoizedIterator(it chunkenc.Iterator, delta int64) *MemoizedSeriesItera
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func (b *MemoizedSeriesIterator) Reset(it chunkenc.Iterator) {
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b.it = it
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b.lastTime = math.MinInt64
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b.ok = true
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b.prevTime = math.MinInt64
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it.Next()
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if it.ChunkEncoding() == chunkenc.EncHistogram {
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b.valueType = ValHistogram
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} else {
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b.valueType = ValFloat
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}
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}
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// PeekPrev returns the previous element of the iterator. If there is none buffered,
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// ok is false.
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func (b *MemoizedSeriesIterator) PeekPrev() (t int64, v float64, ok bool) {
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func (b *MemoizedSeriesIterator) PeekPrev() (t int64, v float64, h *histogram.Histogram, ok bool) {
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if b.prevTime == math.MinInt64 {
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return 0, 0, false
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return 0, 0, nil, false
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}
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return b.prevTime, b.prevValue, true
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return b.prevTime, b.prevValue, b.prevHistogram, true
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}
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// Seek advances the iterator to the element at time t or greater.
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func (b *MemoizedSeriesIterator) Seek(t int64) bool {
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func (b *MemoizedSeriesIterator) Seek(t int64) ValueType {
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t0 := t - b.delta
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if t0 > b.lastTime {
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@ -76,52 +91,61 @@ func (b *MemoizedSeriesIterator) Seek(t int64) bool {
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// more than the delta.
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b.prevTime = math.MinInt64
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b.ok = b.it.Seek(t0)
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if !b.ok {
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return false
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ok := b.it.Seek(t0)
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if !ok {
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b.valueType = ValNone
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return ValNone
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}
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if b.it.ChunkEncoding() == chunkenc.EncHistogram {
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b.valueType = ValHistogram
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b.lastTime, _ = b.it.AtHistogram()
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} else {
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b.valueType = ValFloat
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b.lastTime, _ = b.it.At()
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}
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}
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if b.lastTime >= t {
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return true
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return b.valueType
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}
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for b.Next() {
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for b.Next() != ValNone {
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if b.lastTime >= t {
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return true
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return b.valueType
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}
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}
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return false
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return ValNone
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}
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// Next advances the iterator to the next element.
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func (b *MemoizedSeriesIterator) Next() bool {
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if !b.ok {
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return false
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func (b *MemoizedSeriesIterator) Next() ValueType {
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if b.valueType == ValNone {
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return ValNone
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}
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// Keep track of the previous element.
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if b.it.ChunkEncoding() == chunkenc.EncHistogram {
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b.prevTime, b.prev
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b.prevTime, b.prevHistogram = b.it.AtHistogram()
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b.prevValue = 0
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} else {
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b.prevTime, b.prevValue = b.it.At()
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b.prevHistogram = nil
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}
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b.ok = b.it.Next()
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if b.ok {
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ok := b.it.Next()
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if ok {
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if b.it.ChunkEncoding() == chunkenc.EncHistogram {
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b.lastTime, _ = b.it.AtHistogram()
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b.valueType = ValHistogram
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} else {
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b.lastTime, _ = b.it.At()
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b.valueType = ValFloat
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}
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} else {
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b.valueType = ValNone
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}
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return b.ok
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return b.valueType
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}
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// Values returns the current element of the iterator.
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@ -129,6 +153,11 @@ func (b *MemoizedSeriesIterator) Values() (int64, float64) {
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return b.it.At()
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}
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// Values returns the current element of the iterator.
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func (b *MemoizedSeriesIterator) HistogramValues() (int64, *histogram.Histogram) {
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return b.it.AtHistogram()
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}
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// Err returns the last encountered error.
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func (b *MemoizedSeriesIterator) Err() error {
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return b.it.Err()
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@ -20,6 +20,7 @@ import (
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)
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func TestMemoizedSeriesIterator(t *testing.T) {
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// TODO(beorn7): Include histograms in testing.
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var it *MemoizedSeriesIterator
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sampleEq := func(ets int64, ev float64) {
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@ -28,7 +29,7 @@ func TestMemoizedSeriesIterator(t *testing.T) {
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require.Equal(t, ev, v, "value mismatch")
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}
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prevSampleEq := func(ets int64, ev float64, eok bool) {
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ts, v, ok := it.PeekPrev()
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ts, v, _, ok := it.PeekPrev()
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require.Equal(t, eok, ok, "exist mismatch")
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require.Equal(t, ets, ts, "timestamp mismatch")
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require.Equal(t, ev, v, "value mismatch")
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@ -45,29 +46,29 @@ func TestMemoizedSeriesIterator(t *testing.T) {
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sample{t: 101, v: 10},
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}), 2)
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require.True(t, it.Seek(-123), "seek failed")
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require.Equal(t, it.Seek(-123), ValFloat, "seek failed")
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sampleEq(1, 2)
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prevSampleEq(0, 0, false)
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require.True(t, it.Next(), "next failed")
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require.Equal(t, it.Next(), ValFloat, "next failed")
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sampleEq(2, 3)
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prevSampleEq(1, 2, true)
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require.True(t, it.Next(), "next failed")
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require.True(t, it.Next(), "next failed")
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require.True(t, it.Next(), "next failed")
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require.Equal(t, it.Next(), ValFloat, "next failed")
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require.Equal(t, it.Next(), ValFloat, "next failed")
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require.Equal(t, it.Next(), ValFloat, "next failed")
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sampleEq(5, 6)
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prevSampleEq(4, 5, true)
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require.True(t, it.Seek(5), "seek failed")
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require.Equal(t, it.Seek(5), ValFloat, "seek failed")
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sampleEq(5, 6)
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prevSampleEq(4, 5, true)
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require.True(t, it.Seek(101), "seek failed")
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require.Equal(t, it.Seek(101), ValFloat, "seek failed")
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sampleEq(101, 10)
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prevSampleEq(100, 9, true)
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require.False(t, it.Next(), "next succeeded unexpectedly")
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require.Equal(t, it.Next(), ValNone, "next succeeded unexpectedly")
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}
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func BenchmarkMemoizedSeriesIterator(b *testing.B) {
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@ -78,7 +79,7 @@ func BenchmarkMemoizedSeriesIterator(b *testing.B) {
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b.ReportAllocs()
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b.ResetTimer()
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for it.Next() {
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for it.Next() != ValNone {
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// scan everything
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}
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require.NoError(b, it.Err())
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