Move to histogram.Histogram pointers

This is to avoid copying the many fields of a histogram.Histogram all
the time.

This also fixes a bunch of formerly broken tests.

Signed-off-by: beorn7 <beorn@grafana.com>
This commit is contained in:
beorn7 2021-11-12 19:07:41 +01:00
parent f1065e44a4
commit 4c28d9fac7
39 changed files with 375 additions and 372 deletions

View file

@ -1190,7 +1190,7 @@ func (n notReadyAppender) AppendExemplar(ref uint64, l labels.Labels, e exemplar
return 0, tsdb.ErrNotReady
}
func (n notReadyAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, sh histogram.Histogram) (uint64, error) {
func (n notReadyAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h *histogram.Histogram) (uint64, error) {
return 0, tsdb.ErrNotReady
}

View file

@ -460,7 +460,7 @@ func query(ctx context.Context, qs string, t time.Time, engine *promql.Engine, q
return v, nil
case promql.Scalar:
return promql.Vector{promql.Sample{
Point: promql.Point(v),
Point: promql.Point{T: v.T, V: v.V},
Metric: labels.Labels{},
}}, nil
default:

View file

@ -30,7 +30,7 @@ type Parser interface {
// Histogram returns the bytes of a series with a sparse histogram as a
// value, the timestamp if set, and the histogram in the current sample.
Histogram() ([]byte, *int64, histogram.Histogram)
Histogram() ([]byte, *int64, *histogram.Histogram)
// Help returns the metric name and help text in the current entry.
// Must only be called after Next returned a help entry.

View file

@ -114,10 +114,10 @@ func (p *OpenMetricsParser) Series() ([]byte, *int64, float64) {
return p.series, nil, p.val
}
// Histogram always returns (nil, nil, histogram.Histogram{}) because
// OpenMetrics does not support sparse histograms.
func (p *OpenMetricsParser) Histogram() ([]byte, *int64, histogram.Histogram) {
return nil, nil, histogram.Histogram{}
// Histogram always returns (nil, nil, nil) because OpenMetrics does not support
// sparse histograms.
func (p *OpenMetricsParser) Histogram() ([]byte, *int64, *histogram.Histogram) {
return nil, nil, nil
}
// Help returns the metric name and help text in the current entry.

View file

@ -169,10 +169,10 @@ func (p *PromParser) Series() ([]byte, *int64, float64) {
return p.series, nil, p.val
}
// Histogram always returns (nil, nil, histogram.Histogram{}) because the
// Prometheus text format does not support sparse histograms.
func (p *PromParser) Histogram() ([]byte, *int64, histogram.Histogram) {
return nil, nil, histogram.Histogram{}
// Histogram always returns (nil, nil, nil) because the Prometheus text format
// does not support sparse histograms.
func (p *PromParser) Histogram() ([]byte, *int64, *histogram.Histogram) {
return nil, nil, nil
}
// Help returns the metric name and help text in the current entry.

View file

@ -135,7 +135,7 @@ func (p *ProtobufParser) Series() ([]byte, *int64, float64) {
// Histogram returns the bytes of a series with a sparse histogram as a
// value, the timestamp if set, and the sparse histogram in the current
// sample.
func (p *ProtobufParser) Histogram() ([]byte, *int64, histogram.Histogram) {
func (p *ProtobufParser) Histogram() ([]byte, *int64, *histogram.Histogram) {
var (
m = p.mf.GetMetric()[p.metricPos]
ts = m.GetTimestampMs()
@ -161,12 +161,12 @@ func (p *ProtobufParser) Histogram() ([]byte, *int64, histogram.Histogram) {
sh.NegativeSpans[i].Length = span.GetLength()
}
if ts != 0 {
return p.metricBytes.Bytes(), &ts, sh
return p.metricBytes.Bytes(), &ts, &sh
}
// Nasty hack: Assume that ts==0 means no timestamp. That's not true in
// general, but proto3 has no distinction between unset and
// default. Need to avoid in the final format.
return p.metricBytes.Bytes(), nil, sh
return p.metricBytes.Bytes(), nil, &sh
}
// Help returns the metric name and help text in the current entry.

View file

@ -266,7 +266,7 @@ metric: <
help string
unit string
comment string
shs histogram.Histogram
shs *histogram.Histogram
e []exemplar.Exemplar
}{
{
@ -332,7 +332,7 @@ metric: <
{
m: "test_histogram",
t: 1234568,
shs: histogram.Histogram{
shs: &histogram.Histogram{
Count: 175,
ZeroCount: 2,
Sum: 0.0008280461746287094,

View file

@ -1748,7 +1748,7 @@ func (ev *evaluator) matrixIterSlice(it *storage.BufferedSeriesIterator, mint, m
ev.error(ErrTooManySamples(env))
}
ev.currentSamples++
out = append(out, Point{T: t, H: &h})
out = append(out, Point{T: t, H: h})
}
}
} else {
@ -1775,7 +1775,7 @@ func (ev *evaluator) matrixIterSlice(it *storage.BufferedSeriesIterator, mint, m
if ev.currentSamples >= ev.maxSamples {
ev.error(ErrTooManySamples(env))
}
out = append(out, Point{T: t, H: &h})
out = append(out, Point{T: t, H: h})
ev.currentSamples++
}
} else {

View file

@ -2460,5 +2460,5 @@ func TestSparseHistogramRate(t *testing.T) {
require.NoError(t, err)
res := qry.Exec(test.Context())
require.NoError(t, res.Err)
fmt.Println(res)
// fmt.Println(res)
}

View file

@ -300,9 +300,9 @@ func (ssi *storageSeriesIterator) At() (t int64, v float64) {
return p.T, p.V
}
func (ssi *storageSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
func (ssi *storageSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
p := ssi.points[ssi.curr]
return p.T, *p.H
return p.T, p.H
}
func (ssi *storageSeriesIterator) ChunkEncoding() chunkenc.Encoding {

View file

@ -35,7 +35,7 @@ func (a nopAppender) Append(uint64, labels.Labels, int64, float64) (uint64, erro
func (a nopAppender) AppendExemplar(uint64, labels.Labels, exemplar.Exemplar) (uint64, error) {
return 0, nil
}
func (a nopAppender) AppendHistogram(uint64, labels.Labels, int64, histogram.Histogram) (uint64, error) {
func (a nopAppender) AppendHistogram(uint64, labels.Labels, int64, *histogram.Histogram) (uint64, error) {
return 0, nil
}
func (a nopAppender) Commit() error { return nil }
@ -49,7 +49,7 @@ type sample struct {
type histogramSample struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
// collectResultAppender records all samples that were added through the appender.
@ -96,7 +96,7 @@ func (a *collectResultAppender) AppendExemplar(ref uint64, l labels.Labels, e ex
return a.next.AppendExemplar(ref, l, e)
}
func (a *collectResultAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h histogram.Histogram) (uint64, error) {
func (a *collectResultAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h *histogram.Histogram) (uint64, error) {
a.pendingHistograms = append(a.pendingHistograms, histogramSample{h: h, t: t})
if a.next == nil {
return 0, nil

View file

@ -1440,7 +1440,7 @@ loop:
met []byte
parsedTimestamp *int64
val float64
h histogram.Histogram
h *histogram.Histogram
)
if et, err = p.Next(); err != nil {
if err == io.EOF {

View file

@ -120,7 +120,7 @@ func (b *BufferedSeriesIterator) Next() bool {
// Add current element to buffer before advancing.
if b.it.ChunkEncoding() == chunkenc.EncHistogram {
t, h := b.it.AtHistogram()
b.buf.add(sample{t: t, h: &h})
b.buf.add(sample{t: t, h: h})
} else {
t, v := b.it.At()
b.buf.add(sample{t: t, v: v})
@ -144,7 +144,7 @@ func (b *BufferedSeriesIterator) Values() (int64, float64) {
}
// HistogramValues returns the current histogram element of the iterator.
func (b *BufferedSeriesIterator) HistogramValues() (int64, histogram.Histogram) {
func (b *BufferedSeriesIterator) HistogramValues() (int64, *histogram.Histogram) {
return b.it.AtHistogram()
}
@ -230,7 +230,7 @@ func (it *sampleRingIterator) At() (int64, float64) {
return it.r.at(it.i)
}
func (it *sampleRingIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *sampleRingIterator) AtHistogram() (int64, *histogram.Histogram) {
return it.r.atHistogram(it.i)
}
@ -244,10 +244,10 @@ func (r *sampleRing) at(i int) (int64, float64) {
return s.t, s.v
}
func (r *sampleRing) atHistogram(i int) (int64, histogram.Histogram) {
func (r *sampleRing) atHistogram(i int) (int64, *histogram.Histogram) {
j := (r.f + i) % len(r.buf)
s := r.buf[j]
return s.t, *s.h
return s.t, s.h
}
func (r *sampleRing) atSample(i int) sample {

View file

@ -55,7 +55,7 @@ func TestSampleRing(t *testing.T) {
},
}
for _, c := range cases {
r := newSampleRing(c.delta, c.size)
r := newSampleRing(c.delta, c.size, chunkenc.EncNone)
input := []sample{}
for _, t := range c.input {
@ -66,7 +66,7 @@ func TestSampleRing(t *testing.T) {
}
for i, s := range input {
r.add(s.t, s.v)
r.add(s)
buffered := r.samples()
for _, sold := range input[:i] {
@ -106,7 +106,7 @@ func TestBufferedSeriesIterator(t *testing.T) {
require.Equal(t, ev, v, "value mismatch")
}
prevSampleEq := func(ets int64, ev float64, eok bool) {
ts, v, ok := it.PeekBack(1)
ts, v, _, ok := it.PeekBack(1)
require.Equal(t, eok, ok, "exist mismatch")
require.Equal(t, ets, ts, "timestamp mismatch")
require.Equal(t, ev, v, "value mismatch")
@ -196,8 +196,8 @@ type mockSeriesIterator struct {
func (m *mockSeriesIterator) Seek(t int64) bool { return m.seek(t) }
func (m *mockSeriesIterator) At() (int64, float64) { return m.at() }
func (m *mockSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
return 0, histogram.Histogram{}
func (m *mockSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
return 0, nil
}
func (m *mockSeriesIterator) ChunkEncoding() chunkenc.Encoding {
return chunkenc.EncXOR
@ -219,8 +219,8 @@ func (it *fakeSeriesIterator) At() (int64, float64) {
return it.idx * it.step, 123 // Value doesn't matter.
}
func (it *fakeSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
return it.idx * it.step, histogram.Histogram{} // Value doesn't matter.
func (it *fakeSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
return it.idx * it.step, &histogram.Histogram{} // Value doesn't matter.
}
func (it *fakeSeriesIterator) ChunkEncoding() chunkenc.Encoding {

View file

@ -173,7 +173,7 @@ func (f *fanoutAppender) AppendExemplar(ref uint64, l labels.Labels, e exemplar.
return ref, nil
}
func (f *fanoutAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h histogram.Histogram) (uint64, error) {
func (f *fanoutAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h *histogram.Histogram) (uint64, error) {
ref, err := f.primary.AppendHistogram(ref, l, t, h)
if err != nil {
return ref, err

View file

@ -222,7 +222,7 @@ type HistogramAppender interface {
// numbers are ephemeral and may be rejected in calls to Append() at any
// point. Adding the sample via Append() returns a new reference number.
// If the reference is 0 it must not be used for caching.
AppendHistogram(ref uint64, l labels.Labels, t int64, h histogram.Histogram) (uint64, error)
AppendHistogram(ref uint64, l labels.Labels, t int64, h *histogram.Histogram) (uint64, error)
}
// SeriesSet contains a set of series.

View file

@ -486,7 +486,7 @@ func (c *chainSampleIterator) At() (t int64, v float64) {
return c.curr.At()
}
func (c *chainSampleIterator) AtHistogram() (int64, histogram.Histogram) {
func (c *chainSampleIterator) AtHistogram() (int64, *histogram.Histogram) {
if c.curr == nil {
panic("chainSampleIterator.AtHistogram() called before first .Next() or after .Next() returned false.")
}

View file

@ -62,116 +62,116 @@ func TestMergeQuerierWithChainMerger(t *testing.T) {
{
name: "one querier, two series",
querierSeries: [][]Series{{
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
}},
expected: NewMockSeriesSet(
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
),
},
{
name: "two queriers, one different series each",
querierSeries: [][]Series{{
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
}, {
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
}},
expected: NewMockSeriesSet(
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
),
},
{
name: "two time unsorted queriers, two series each",
querierSeries: [][]Series{{
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5}, sample{6, 6}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5, nil}, sample{6, 6, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}, sample{4, 4}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}, sample{4, 4, nil}}),
}},
expected: NewMockSeriesSet(
NewListSeries(
labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}, sample{6, 6, nil}},
),
NewListSeries(
labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}},
),
),
},
{
name: "five queriers, only two queriers have two time unsorted series each",
querierSeries: [][]Series{{}, {}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5}, sample{6, 6}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5, nil}, sample{6, 6, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}, sample{4, 4}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}, sample{4, 4, nil}}),
}, {}},
expected: NewMockSeriesSet(
NewListSeries(
labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}, sample{6, 6, nil}},
),
NewListSeries(
labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}},
),
),
},
{
name: "two queriers, only two queriers have two time unsorted series each, with 3 noop and one nil querier together",
querierSeries: [][]Series{{}, {}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5}, sample{6, 6}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5, nil}, sample{6, 6, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}, sample{4, 4}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}, sample{4, 4, nil}}),
}, {}},
extraQueriers: []Querier{NoopQuerier(), NoopQuerier(), nil, NoopQuerier()},
expected: NewMockSeriesSet(
NewListSeries(
labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}, sample{6, 6, nil}},
),
NewListSeries(
labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}},
),
),
},
{
name: "two queriers, with two series, one is overlapping",
querierSeries: [][]Series{{}, {}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 21}, sample{3, 31}, sample{5, 5}, sample{6, 6}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 21, nil}, sample{3, 31, nil}, sample{5, 5, nil}, sample{6, 6, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
}, {
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 22}, sample{3, 32}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}, sample{4, 4}}),
NewListSeries(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 22, nil}, sample{3, 32, nil}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}, sample{4, 4, nil}}),
}, {}},
expected: NewMockSeriesSet(
NewListSeries(
labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 21}, sample{3, 31}, sample{5, 5}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 21, nil}, sample{3, 31, nil}, sample{5, 5, nil}, sample{6, 6, nil}},
),
NewListSeries(
labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}},
),
),
},
{
name: "two queries, one with NaN samples series",
querierSeries: [][]Series{{
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN()}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN(), nil}}),
}, {
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{1, 1}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{1, 1, nil}}),
}},
expected: NewMockSeriesSet(
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN()}, sample{1, 1}}),
NewListSeries(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN(), nil}, sample{1, 1, nil}}),
),
},
} {
@ -245,108 +245,108 @@ func TestMergeChunkQuerierWithNoVerticalChunkSeriesMerger(t *testing.T) {
{
name: "one querier, two series",
chkQuerierSeries: [][]ChunkSeries{{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
}},
expected: NewMockChunkSeriesSet(
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
),
},
{
name: "two secondaries, one different series each",
chkQuerierSeries: [][]ChunkSeries{{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
}, {
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
}},
expected: NewMockChunkSeriesSet(
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
),
},
{
name: "two secondaries, two not in time order series each",
chkQuerierSeries: [][]ChunkSeries{{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5}}, []tsdbutil.Sample{sample{6, 6}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5, nil}}, []tsdbutil.Sample{sample{6, 6, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
}, {
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}}, []tsdbutil.Sample{sample{4, 4}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}}, []tsdbutil.Sample{sample{4, 4, nil}}),
}},
expected: NewMockChunkSeriesSet(
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}},
[]tsdbutil.Sample{sample{3, 3}},
[]tsdbutil.Sample{sample{5, 5}},
[]tsdbutil.Sample{sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}},
[]tsdbutil.Sample{sample{3, 3, nil}},
[]tsdbutil.Sample{sample{5, 5, nil}},
[]tsdbutil.Sample{sample{6, 6, nil}},
),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}},
[]tsdbutil.Sample{sample{2, 2}},
[]tsdbutil.Sample{sample{3, 3}},
[]tsdbutil.Sample{sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}},
[]tsdbutil.Sample{sample{2, 2, nil}},
[]tsdbutil.Sample{sample{3, 3, nil}},
[]tsdbutil.Sample{sample{4, 4, nil}},
),
),
},
{
name: "five secondaries, only two have two not in time order series each",
chkQuerierSeries: [][]ChunkSeries{{}, {}, {
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5}}, []tsdbutil.Sample{sample{6, 6}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5, nil}}, []tsdbutil.Sample{sample{6, 6, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
}, {
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}}, []tsdbutil.Sample{sample{4, 4}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}}, []tsdbutil.Sample{sample{4, 4, nil}}),
}, {}},
expected: NewMockChunkSeriesSet(
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}},
[]tsdbutil.Sample{sample{3, 3}},
[]tsdbutil.Sample{sample{5, 5}},
[]tsdbutil.Sample{sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}},
[]tsdbutil.Sample{sample{3, 3, nil}},
[]tsdbutil.Sample{sample{5, 5, nil}},
[]tsdbutil.Sample{sample{6, 6, nil}},
),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}},
[]tsdbutil.Sample{sample{2, 2}},
[]tsdbutil.Sample{sample{3, 3}},
[]tsdbutil.Sample{sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}},
[]tsdbutil.Sample{sample{2, 2, nil}},
[]tsdbutil.Sample{sample{3, 3, nil}},
[]tsdbutil.Sample{sample{4, 4, nil}},
),
),
},
{
name: "two secondaries, with two not in time order series each, with 3 noop queries and one nil together",
chkQuerierSeries: [][]ChunkSeries{{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5}}, []tsdbutil.Sample{sample{6, 6}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}}, []tsdbutil.Sample{sample{2, 2}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{5, 5, nil}}, []tsdbutil.Sample{sample{6, 6, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}}, []tsdbutil.Sample{sample{2, 2, nil}}),
}, {
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3}}, []tsdbutil.Sample{sample{4, 4}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{3, 3, nil}}, []tsdbutil.Sample{sample{4, 4, nil}}),
}},
extraQueriers: []ChunkQuerier{NoopChunkedQuerier(), NoopChunkedQuerier(), nil, NoopChunkedQuerier()},
expected: NewMockChunkSeriesSet(
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}},
[]tsdbutil.Sample{sample{3, 3}},
[]tsdbutil.Sample{sample{5, 5}},
[]tsdbutil.Sample{sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}},
[]tsdbutil.Sample{sample{3, 3, nil}},
[]tsdbutil.Sample{sample{5, 5, nil}},
[]tsdbutil.Sample{sample{6, 6, nil}},
),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"),
[]tsdbutil.Sample{sample{0, 0}, sample{1, 1}},
[]tsdbutil.Sample{sample{2, 2}},
[]tsdbutil.Sample{sample{3, 3}},
[]tsdbutil.Sample{sample{4, 4}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}},
[]tsdbutil.Sample{sample{2, 2, nil}},
[]tsdbutil.Sample{sample{3, 3, nil}},
[]tsdbutil.Sample{sample{4, 4, nil}},
),
),
},
{
name: "two queries, one with NaN samples series",
chkQuerierSeries: [][]ChunkSeries{{
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN()}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN(), nil}}),
}, {
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{1, 1}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{1, 1, nil}}),
}},
expected: NewMockChunkSeriesSet(
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN()}}, []tsdbutil.Sample{sample{1, 1}}),
NewListChunkSeriesFromSamples(labels.FromStrings("foo", "bar"), []tsdbutil.Sample{sample{0, math.NaN(), nil}}, []tsdbutil.Sample{sample{1, 1, nil}}),
),
},
} {
@ -399,9 +399,9 @@ func TestCompactingChunkSeriesMerger(t *testing.T) {
{
name: "single series",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}}),
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}}),
},
{
name: "two empty series",
@ -414,55 +414,55 @@ func TestCompactingChunkSeriesMerger(t *testing.T) {
{
name: "two non overlapping",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}, sample{5, 5}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{7, 7}, sample{9, 9}}, []tsdbutil.Sample{sample{10, 10}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}, sample{5, 5, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{7, 7, nil}, sample{9, 9, nil}}, []tsdbutil.Sample{sample{10, 10, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}, sample{5, 5}}, []tsdbutil.Sample{sample{7, 7}, sample{9, 9}}, []tsdbutil.Sample{sample{10, 10}}),
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}, sample{5, 5, nil}}, []tsdbutil.Sample{sample{7, 7, nil}, sample{9, 9, nil}}, []tsdbutil.Sample{sample{10, 10, nil}}),
},
{
name: "two overlapping",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}, sample{8, 8}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{7, 7}, sample{9, 9}}, []tsdbutil.Sample{sample{10, 10}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}, sample{8, 8, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{7, 7, nil}, sample{9, 9, nil}}, []tsdbutil.Sample{sample{10, 10, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}}, []tsdbutil.Sample{sample{3, 3}, sample{7, 7}, sample{8, 8}, sample{9, 9}}, []tsdbutil.Sample{sample{10, 10}}),
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}}, []tsdbutil.Sample{sample{3, 3, nil}, sample{7, 7, nil}, sample{8, 8, nil}, sample{9, 9, nil}}, []tsdbutil.Sample{sample{10, 10, nil}}),
},
{
name: "two duplicated",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{5, 5}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}}),
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}}),
},
{
name: "three overlapping",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{6, 6}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{0, 0}, sample{4, 4}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}, sample{6, 6, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{0, 0, nil}, sample{4, 4, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}, sample{5, 5}, sample{6, 6}}),
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}, sample{5, 5, nil}, sample{6, 6, nil}}),
},
{
name: "three in chained overlap",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 5}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{4, 4}, sample{6, 66}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{6, 6}, sample{10, 10}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 5, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{4, 4, nil}, sample{6, 66, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{6, 6, nil}, sample{10, 10, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}, sample{5, 5}, sample{6, 66}, sample{10, 10}}),
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}, sample{5, 5, nil}, sample{6, 66, nil}, sample{10, 10, nil}}),
},
{
name: "three in chained overlap complex",
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{0, 0}, sample{5, 5}}, []tsdbutil.Sample{sample{10, 10}, sample{15, 15}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 2}, sample{20, 20}}, []tsdbutil.Sample{sample{25, 25}, sample{30, 30}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{18, 18}, sample{26, 26}}, []tsdbutil.Sample{sample{31, 31}, sample{35, 35}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{0, 0, nil}, sample{5, 5, nil}}, []tsdbutil.Sample{sample{10, 10, nil}, sample{15, 15, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{2, 2, nil}, sample{20, 20, nil}}, []tsdbutil.Sample{sample{25, 25, nil}, sample{30, 30, nil}}),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), []tsdbutil.Sample{sample{18, 18, nil}, sample{26, 26, nil}}, []tsdbutil.Sample{sample{31, 31, nil}, sample{35, 35, nil}}),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]tsdbutil.Sample{sample{0, 0}, sample{2, 2}, sample{5, 5}, sample{10, 10}, sample{15, 15}, sample{18, 18}, sample{20, 20}, sample{25, 25}, sample{26, 26}, sample{30, 30}},
[]tsdbutil.Sample{sample{31, 31}, sample{35, 35}},
[]tsdbutil.Sample{sample{0, 0, nil}, sample{2, 2, nil}, sample{5, 5, nil}, sample{10, 10, nil}, sample{15, 15, nil}, sample{18, 18, nil}, sample{20, 20, nil}, sample{25, 25, nil}, sample{26, 26, nil}, sample{30, 30, nil}},
[]tsdbutil.Sample{sample{31, 31, nil}, sample{35, 35, nil}},
),
},
{
@ -598,37 +598,37 @@ func TestChainSampleIterator(t *testing.T) {
}{
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{1, 1}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{1, 1, nil}}),
},
expected: []tsdbutil.Sample{sample{0, 0}, sample{1, 1}},
expected: []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{1, 1}}),
NewListSeriesIterator(samples{sample{2, 2}, sample{3, 3}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{1, 1, nil}}),
NewListSeriesIterator(samples{sample{2, 2, nil}, sample{3, 3, nil}}),
},
expected: []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}},
expected: []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{3, 3}}),
NewListSeriesIterator(samples{sample{1, 1}, sample{4, 4}}),
NewListSeriesIterator(samples{sample{2, 2}, sample{5, 5}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{3, 3, nil}}),
NewListSeriesIterator(samples{sample{1, 1, nil}, sample{4, 4, nil}}),
NewListSeriesIterator(samples{sample{2, 2, nil}, sample{5, 5, nil}}),
},
expected: []tsdbutil.Sample{
sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{4, 4}, sample{5, 5}},
sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}, sample{5, 5, nil}},
},
// Overlap.
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{1, 1}}),
NewListSeriesIterator(samples{sample{0, 0}, sample{2, 2}}),
NewListSeriesIterator(samples{sample{2, 2}, sample{3, 3}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{1, 1, nil}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{2, 2, nil}}),
NewListSeriesIterator(samples{sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeriesIterator(samples{}),
NewListSeriesIterator(samples{}),
NewListSeriesIterator(samples{}),
},
expected: []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}},
expected: []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}},
},
} {
merged := NewChainSampleIterator(tc.input)
@ -646,42 +646,42 @@ func TestChainSampleIteratorSeek(t *testing.T) {
}{
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
},
seek: 1,
expected: []tsdbutil.Sample{sample{1, 1}, sample{2, 2}},
expected: []tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{1, 1}}),
NewListSeriesIterator(samples{sample{2, 2}, sample{3, 3}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{1, 1, nil}}),
NewListSeriesIterator(samples{sample{2, 2, nil}, sample{3, 3, nil}}),
},
seek: 2,
expected: []tsdbutil.Sample{sample{2, 2}, sample{3, 3}},
expected: []tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{3, 3}}),
NewListSeriesIterator(samples{sample{1, 1}, sample{4, 4}}),
NewListSeriesIterator(samples{sample{2, 2}, sample{5, 5}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{3, 3, nil}}),
NewListSeriesIterator(samples{sample{1, 1, nil}, sample{4, 4, nil}}),
NewListSeriesIterator(samples{sample{2, 2, nil}, sample{5, 5, nil}}),
},
seek: 2,
expected: []tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{4, 4}, sample{5, 5}},
expected: []tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}, sample{4, 4, nil}, sample{5, 5, nil}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sample{0, 0}, sample{2, 2}, sample{3, 3}}),
NewListSeriesIterator(samples{sample{0, 0}, sample{1, 1}, sample{2, 2}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{2, 2, nil}, sample{3, 3, nil}}),
NewListSeriesIterator(samples{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}}),
},
seek: 0,
expected: []tsdbutil.Sample{sample{0, 0}, sample{1, 1}, sample{2, 2}, sample{3, 3}},
expected: []tsdbutil.Sample{sample{0, 0, nil}, sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}},
},
} {
merged := NewChainSampleIterator(tc.input)
actual := []tsdbutil.Sample{}
if merged.Seek(tc.seek) {
t, v := merged.At()
actual = append(actual, sample{t, v})
actual = append(actual, sample{t, v, nil})
}
s, err := ExpandSamples(merged, nil)
require.NoError(t, err)

View file

@ -370,11 +370,11 @@ func (c *concreteSeriesIterator) At() (t int64, v float64) {
return s.Timestamp, s.Value
}
// AtHistogram always returns (0, histogram.Histogram{}) because there is no
// support for histogram values yet.
// AtHistogram always returns (0, nil) because there is no support for histogram
// values yet.
// TODO(beorn7): Fix that for histogram support in remote storage.
func (c *concreteSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
return 0, histogram.Histogram{}
func (c *concreteSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
return 0, nil
}
func (c *concreteSeriesIterator) ChunkEncoding() chunkenc.Encoding {

View file

@ -241,7 +241,7 @@ func (t *timestampTracker) AppendExemplar(_ uint64, _ labels.Labels, _ exemplar.
return 0, nil
}
func (t *timestampTracker) AppendHistogram(_ uint64, _ labels.Labels, ts int64, _ histogram.Histogram) (uint64, error) {
func (t *timestampTracker) AppendHistogram(_ uint64, _ labels.Labels, ts int64, _ *histogram.Histogram) (uint64, error) {
t.histograms++
if ts > t.highestTimestamp {
t.highestTimestamp = ts

View file

@ -188,7 +188,7 @@ func (m *mockAppendable) AppendExemplar(_ uint64, l labels.Labels, e exemplar.Ex
return 0, nil
}
func (*mockAppendable) AppendHistogram(ref uint64, l labels.Labels, t int64, h histogram.Histogram) (uint64, error) {
func (*mockAppendable) AppendHistogram(ref uint64, l labels.Labels, t int64, h *histogram.Histogram) (uint64, error) {
// TODO(beorn7): Noop until we implement sparse histograms over remote write.
return 0, nil
}

View file

@ -91,9 +91,9 @@ func (it *listSeriesIterator) At() (int64, float64) {
return s.T(), s.V()
}
func (it *listSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *listSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
s := it.samples.Get(it.idx)
return s.T(), *s.H()
return s.T(), s.H()
}
func (it *listSeriesIterator) ChunkEncoding() chunkenc.Encoding {
@ -302,13 +302,12 @@ func ExpandSamples(iter chunkenc.Iterator, newSampleFn func(t int64, v float64,
}
var result []tsdbutil.Sample
if iter.ChunkEncoding() == chunkenc.EncHistogram {
for iter.Next() {
for iter.Next() {
// Only after Next() returned true, it is safe to ask for the ChunkEncoding.
if iter.ChunkEncoding() == chunkenc.EncHistogram {
t, h := iter.AtHistogram()
result = append(result, newSampleFn(t, 0, &h))
}
} else {
for iter.Next() {
result = append(result, newSampleFn(t, 0, h))
} else {
t, v := iter.At()
// NaNs can't be compared normally, so substitute for another value.
if math.IsNaN(v) {

View file

@ -179,7 +179,7 @@ func TestCorruptedChunk(t *testing.T) {
require.NoError(t, os.RemoveAll(tmpdir))
}()
series := storage.NewListSeries(labels.FromStrings("a", "b"), []tsdbutil.Sample{sample{1, 1}})
series := storage.NewListSeries(labels.FromStrings("a", "b"), []tsdbutil.Sample{sample{1, 1, nil}})
blockDir := createBlock(t, tmpdir, []storage.Series{series})
files, err := sequenceFiles(chunkDir(blockDir))
require.NoError(t, err)
@ -226,7 +226,7 @@ func TestLabelValuesWithMatchers(t *testing.T) {
seriesEntries = append(seriesEntries, storage.NewListSeries(labels.Labels{
{Name: "unique", Value: fmt.Sprintf("value%d", i)},
{Name: "tens", Value: fmt.Sprintf("value%d", i/10)},
}, []tsdbutil.Sample{sample{100, 0}}))
}, []tsdbutil.Sample{sample{100, 0, nil}}))
}
blockDir := createBlock(t, tmpdir, seriesEntries)
@ -389,7 +389,7 @@ func BenchmarkLabelValuesWithMatchers(b *testing.B) {
{Name: "unique", Value: fmt.Sprintf("value%d", i)},
{Name: "tens", Value: fmt.Sprintf("value%d", i/(metricCount/10))},
{Name: "ninety", Value: fmt.Sprintf("value%d", i/(metricCount/10)/9)}, // "0" for the first 90%, then "1"
}, []tsdbutil.Sample{sample{100, 0}}))
}, []tsdbutil.Sample{sample{100, 0, nil}}))
}
blockDir := createBlock(b, tmpdir, seriesEntries)
@ -427,13 +427,13 @@ func TestLabelNamesWithMatchers(t *testing.T) {
for i := 0; i < 100; i++ {
seriesEntries = append(seriesEntries, storage.NewListSeries(labels.Labels{
{Name: "unique", Value: fmt.Sprintf("value%d", i)},
}, []tsdbutil.Sample{sample{100, 0}}))
}, []tsdbutil.Sample{sample{100, 0, nil}}))
if i%10 == 0 {
seriesEntries = append(seriesEntries, storage.NewListSeries(labels.Labels{
{Name: "unique", Value: fmt.Sprintf("value%d", i)},
{Name: "tens", Value: fmt.Sprintf("value%d", i/10)},
}, []tsdbutil.Sample{sample{100, 0}}))
}, []tsdbutil.Sample{sample{100, 0, nil}}))
}
if i%20 == 0 {
@ -441,7 +441,7 @@ func TestLabelNamesWithMatchers(t *testing.T) {
{Name: "unique", Value: fmt.Sprintf("value%d", i)},
{Name: "tens", Value: fmt.Sprintf("value%d", i/10)},
{Name: "twenties", Value: fmt.Sprintf("value%d", i/20)},
}, []tsdbutil.Sample{sample{100, 0}}))
}, []tsdbutil.Sample{sample{100, 0, nil}}))
}
}

View file

@ -82,7 +82,7 @@ type Chunk interface {
// Appender adds sample pairs to a chunk.
type Appender interface {
Append(int64, float64)
AppendHistogram(t int64, h histogram.Histogram)
AppendHistogram(t int64, h *histogram.Histogram)
}
// Iterator is a simple iterator that can only get the next value.
@ -102,8 +102,7 @@ type Iterator interface {
At() (int64, float64)
// AtHistogram returns the current timestamp/histogram pair.
// Before the iterator has advanced AtHistogram behaviour is unspecified.
// TODO(beorn7): Maybe return *histogram.Histogram? It's a fairly large struct.
AtHistogram() (int64, histogram.Histogram)
AtHistogram() (int64, *histogram.Histogram)
// Err returns the current error. It should be used only after iterator is
// exhausted, that is `Next` or `Seek` returns false.
Err() error
@ -120,8 +119,8 @@ type nopIterator struct{}
func (nopIterator) Seek(int64) bool { return false }
func (nopIterator) At() (int64, float64) { return math.MinInt64, 0 }
func (nopIterator) AtHistogram() (int64, histogram.Histogram) {
return math.MinInt64, histogram.Histogram{}
func (nopIterator) AtHistogram() (int64, *histogram.Histogram) {
return math.MinInt64, nil
}
func (nopIterator) Next() bool { return false }
func (nopIterator) Err() error { return nil }

View file

@ -245,7 +245,7 @@ func (a *HistogramAppender) Append(int64, float64) {
// The method returns an additional boolean set to true if it is not appendable
// because of a counter reset. If the given sample is stale, it is always ok to
// append. If counterReset is true, okToAppend is always false.
func (a *HistogramAppender) Appendable(h histogram.Histogram) (
func (a *HistogramAppender) Appendable(h *histogram.Histogram) (
positiveInterjections, negativeInterjections []Interjection,
okToAppend bool, counterReset bool,
) {
@ -369,14 +369,14 @@ func counterResetInAnyBucket(oldBuckets, newBuckets []int64, oldSpans, newSpans
// the histogram is properly structured, e.g. the number of buckets used
// corresponds to the number conveyed by the span structures. First call
// Appendable() and act accordingly!
func (a *HistogramAppender) AppendHistogram(t int64, h histogram.Histogram) {
func (a *HistogramAppender) AppendHistogram(t int64, h *histogram.Histogram) {
var tDelta, cntDelta, zCntDelta int64
num := binary.BigEndian.Uint16(a.b.bytes())
if value.IsStaleNaN(h.Sum) {
// Emptying out other fields to write no buckets, and an empty
// layout in case of first histogram in the chunk.
h = histogram.Histogram{Sum: h.Sum}
h = &histogram.Histogram{Sum: h.Sum}
}
switch num {
@ -401,7 +401,7 @@ func (a *HistogramAppender) AppendHistogram(t int64, h histogram.Histogram) {
// Now store the actual data.
putVarbitInt(a.b, t)
putVarbitUint(a.b, h.Count)
putVarbitUint(a.b, h.ZeroCount) //
putVarbitUint(a.b, h.ZeroCount)
a.b.writeBits(math.Float64bits(h.Sum), 64)
for _, b := range h.PositiveBuckets {
putVarbitInt(a.b, b)
@ -582,11 +582,11 @@ func (it *histogramIterator) ChunkEncoding() Encoding {
return EncHistogram
}
func (it *histogramIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *histogramIterator) AtHistogram() (int64, *histogram.Histogram) {
if value.IsStaleNaN(it.sum) {
return it.t, histogram.Histogram{Sum: it.sum}
return it.t, &histogram.Histogram{Sum: it.sum}
}
return it.t, histogram.Histogram{
return it.t, &histogram.Histogram{
Count: it.cnt,
ZeroCount: it.zCnt,
Sum: it.sum,

View file

@ -30,7 +30,7 @@ func TestHistogramChunkSameBuckets(t *testing.T) {
require.Equal(t, 0, c.NumSamples())
ts := int64(1234567890)
h := histogram.Histogram{
h := &histogram.Histogram{
Count: 5,
ZeroCount: 2,
Sum: 18.4,
@ -48,6 +48,7 @@ func TestHistogramChunkSameBuckets(t *testing.T) {
// Add an updated histogram.
ts += 16
h = h.Copy()
h.Count += 9
h.ZeroCount++
h.Sum = 24.4
@ -61,6 +62,7 @@ func TestHistogramChunkSameBuckets(t *testing.T) {
require.NoError(t, err)
ts += 14
h = h.Copy()
h.Count += 13
h.ZeroCount += 2
h.Sum = 24.4
@ -113,7 +115,7 @@ func TestHistogramChunkSameBuckets(t *testing.T) {
type res struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
// Mimics the scenario described for compareSpans().
@ -126,7 +128,7 @@ func TestHistogramChunkBucketChanges(t *testing.T) {
require.Equal(t, 0, c.NumSamples())
ts1 := int64(1234567890)
h1 := histogram.Histogram{
h1 := &histogram.Histogram{
Count: 5,
ZeroCount: 2,
Sum: 18.4,
@ -147,7 +149,7 @@ func TestHistogramChunkBucketChanges(t *testing.T) {
// Add a new histogram that has expanded buckets.
ts2 := ts1 + 16
h2 := h1
h2 := h1.Copy()
h2.PositiveSpans = []histogram.Span{
{Offset: 0, Length: 3},
{Offset: 1, Length: 1},
@ -202,7 +204,7 @@ func TestHistoChunkAppendable(t *testing.T) {
require.Equal(t, 0, c.NumSamples())
ts := int64(1234567890)
h1 := histogram.Histogram{
h1 := &histogram.Histogram{
Count: 5,
ZeroCount: 2,
Sum: 18.4,

View file

@ -150,7 +150,7 @@ type xorAppender struct {
trailing uint8
}
func (a *xorAppender) AppendHistogram(t int64, h histogram.Histogram) {
func (a *xorAppender) AppendHistogram(t int64, h *histogram.Histogram) {
panic("appended a histogram to an xor chunk")
}
@ -253,8 +253,8 @@ func (it *xorIterator) At() (int64, float64) {
return it.t, it.val
}
func (it *xorIterator) AtHistogram() (int64, histogram.Histogram) {
panic("cannot call xorIterator.AtHistogram().")
func (it *xorIterator) AtHistogram() (int64, *histogram.Histogram) {
panic("cannot call xorIterator.AtHistogram")
}
func (it *xorIterator) ChunkEncoding() Encoding {

View file

@ -1326,20 +1326,20 @@ func TestHeadCompactionWithHistograms(t *testing.T) {
require.NoError(t, head.Init(0))
app := head.Appender(context.Background())
type timedHist struct {
type timedHistogram struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
// Ingest samples.
numHistograms := 120 * 4
timeStep := DefaultBlockDuration / int64(numHistograms)
expHists := make([]timedHist, 0, numHistograms)
expHists := make([]timedHistogram, 0, numHistograms)
l := labels.Labels{{Name: "a", Value: "b"}}
for i, h := range GenerateTestHistograms(numHistograms) {
_, err := app.AppendHistogram(0, l, int64(i)*timeStep, h)
require.NoError(t, err)
expHists = append(expHists, timedHist{int64(i) * timeStep, h})
expHists = append(expHists, timedHistogram{int64(i) * timeStep, h})
}
require.NoError(t, app.Commit())
@ -1372,10 +1372,10 @@ func TestHeadCompactionWithHistograms(t *testing.T) {
require.False(t, ss.Next())
it := s.Iterator()
actHists := make([]timedHist, 0, len(expHists))
actHists := make([]timedHistogram, 0, len(expHists))
for it.Next() {
t, h := it.AtHistogram()
actHists = append(actHists, timedHist{t, h.Copy()})
actHists = append(actHists, timedHistogram{t, h.Copy()})
}
require.Equal(t, expHists, actHists)
@ -1455,7 +1455,7 @@ func TestSparseHistogramSpaceSavings(t *testing.T) {
var allSparseSeries []struct {
baseLabels labels.Labels
hists []histogram.Histogram
hists []*histogram.Histogram
}
for sid, schema := range allSchemas {
@ -1467,7 +1467,7 @@ func TestSparseHistogramSpaceSavings(t *testing.T) {
}
allSparseSeries = append(allSparseSeries, struct {
baseLabels labels.Labels
hists []histogram.Histogram
hists []*histogram.Histogram
}{baseLabels: lbls, hists: generateCustomHistograms(numHistograms, c.numBuckets, c.numSpans, c.gapBetweenSpans, schema)})
}
}
@ -1613,9 +1613,9 @@ Savings: Index=%.2f%%, Chunks=%.2f%%, Total=%.2f%%
}
}
func generateCustomHistograms(numHists, numBuckets, numSpans, gapBetweenSpans, schema int) (r []histogram.Histogram) {
func generateCustomHistograms(numHists, numBuckets, numSpans, gapBetweenSpans, schema int) (r []*histogram.Histogram) {
// First histogram with all the settings.
h := histogram.Histogram{
h := &histogram.Histogram{
Sum: 1000 * rand.Float64(),
Schema: int32(schema),
}
@ -1708,11 +1708,11 @@ func TestSparseHistogramCompactionAndQuery(t *testing.T) {
})
db.DisableCompactions()
type timedHist struct {
type timedHistogram struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
expHists := make(map[string][]timedHist)
expHists := make(map[string][]timedHistogram)
series1Histograms := GenerateTestHistograms(20)
series2Histograms := GenerateTestHistograms(20)
@ -1728,8 +1728,8 @@ func TestSparseHistogramCompactionAndQuery(t *testing.T) {
require.NoError(t, err)
l1, l2 := lbls1.String(), lbls2.String()
expHists[l1] = append(expHists[l1], timedHist{t: ts, h: series1Histograms[idx1]})
expHists[l2] = append(expHists[l2], timedHist{t: ts, h: series2Histograms[idx2]})
expHists[l1] = append(expHists[l1], timedHistogram{t: ts, h: series1Histograms[idx1]})
expHists[l2] = append(expHists[l2], timedHistogram{t: ts, h: series2Histograms[idx2]})
}
testQuery := func() {
@ -1740,13 +1740,13 @@ func TestSparseHistogramCompactionAndQuery(t *testing.T) {
}()
ss := q.Select(false, nil, labels.MustNewMatcher(labels.MatchRegexp, "a", ".*"))
actHists := make(map[string][]timedHist)
actHists := make(map[string][]timedHistogram)
for ss.Next() {
s := ss.At()
it := s.Iterator()
for it.Next() {
ts, h := it.AtHistogram()
actHists[s.Labels().String()] = append(actHists[s.Labels().String()], timedHist{ts, h.Copy()})
actHists[s.Labels().String()] = append(actHists[s.Labels().String()], timedHistogram{ts, h.Copy()})
}
require.NoError(t, it.Err())
}

View file

@ -420,7 +420,7 @@ Outer:
expSamples := make([]tsdbutil.Sample, 0, len(c.remaint))
for _, ts := range c.remaint {
expSamples = append(expSamples, sample{ts, smpls[ts]})
expSamples = append(expSamples, sample{ts, smpls[ts], nil})
}
expss := newMockSeriesSet([]storage.Series{
@ -536,7 +536,7 @@ func TestSkippingInvalidValuesInSameTxn(t *testing.T) {
ssMap := query(t, q, labels.MustNewMatcher(labels.MatchEqual, "a", "b"))
require.Equal(t, map[string][]tsdbutil.Sample{
labels.New(labels.Label{Name: "a", Value: "b"}).String(): {sample{0, 1}},
labels.New(labels.Label{Name: "a", Value: "b"}).String(): {sample{0, 1, nil}},
}, ssMap)
// Append Out of Order Value.
@ -553,7 +553,7 @@ func TestSkippingInvalidValuesInSameTxn(t *testing.T) {
ssMap = query(t, q, labels.MustNewMatcher(labels.MatchEqual, "a", "b"))
require.Equal(t, map[string][]tsdbutil.Sample{
labels.New(labels.Label{Name: "a", Value: "b"}).String(): {sample{0, 1}, sample{10, 3}},
labels.New(labels.Label{Name: "a", Value: "b"}).String(): {sample{0, 1, nil}, sample{10, 3, nil}},
}, ssMap)
}
@ -716,7 +716,7 @@ Outer:
expSamples := make([]tsdbutil.Sample, 0, len(c.remaint))
for _, ts := range c.remaint {
expSamples = append(expSamples, sample{ts, smpls[ts]})
expSamples = append(expSamples, sample{ts, smpls[ts], nil})
}
expss := newMockSeriesSet([]storage.Series{
@ -821,7 +821,7 @@ func TestDB_e2e(t *testing.T) {
for i := 0; i < numDatapoints; i++ {
v := rand.Float64()
series = append(series, sample{ts, v})
series = append(series, sample{ts, v, nil})
_, err := app.Append(0, lset, ts, v)
require.NoError(t, err)
@ -1066,7 +1066,7 @@ func TestTombstoneClean(t *testing.T) {
expSamples := make([]tsdbutil.Sample, 0, len(c.remaint))
for _, ts := range c.remaint {
expSamples = append(expSamples, sample{ts, smpls[ts]})
expSamples = append(expSamples, sample{ts, smpls[ts], nil})
}
expss := newMockSeriesSet([]storage.Series{
@ -2541,11 +2541,11 @@ func TestDBQueryDoesntSeeAppendsAfterCreation(t *testing.T) {
// TestChunkWriter_ReadAfterWrite ensures that chunk segment are cut at the set segment size and
// that the resulted segments includes the expected chunks data.
func TestChunkWriter_ReadAfterWrite(t *testing.T) {
chk1 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 1}})
chk2 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 2}})
chk3 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 3}})
chk4 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 4}})
chk5 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 5}})
chk1 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 1, nil}})
chk2 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 2, nil}})
chk3 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 3, nil}})
chk4 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 4, nil}})
chk5 := tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 5, nil}})
chunkSize := len(chk1.Chunk.Bytes()) + chunks.MaxChunkLengthFieldSize + chunks.ChunkEncodingSize + crc32.Size
tests := []struct {
@ -2746,11 +2746,11 @@ func TestRangeForTimestamp(t *testing.T) {
// Regression test for https://github.com/prometheus/prometheus/pull/6514.
func TestChunkReader_ConcurrentReads(t *testing.T) {
chks := []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 1}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 2}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 3}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 4}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 5}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 1, nil}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 2, nil}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 3, nil}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 4, nil}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 5, nil}}),
}
tempDir, err := ioutil.TempDir("", "test_chunk_writer")
@ -2815,7 +2815,7 @@ func TestCompactHead(t *testing.T) {
val := rand.Float64()
_, err := app.Append(0, labels.FromStrings("a", "b"), int64(i), val)
require.NoError(t, err)
expSamples = append(expSamples, sample{int64(i), val})
expSamples = append(expSamples, sample{int64(i), val, nil})
}
require.NoError(t, app.Commit())
@ -2842,7 +2842,7 @@ func TestCompactHead(t *testing.T) {
series := seriesSet.At().Iterator()
for series.Next() {
time, val := series.At()
actSamples = append(actSamples, sample{int64(time), val})
actSamples = append(actSamples, sample{int64(time), val, nil})
}
require.NoError(t, series.Err())
}

View file

@ -1490,7 +1490,7 @@ func (s *stripeSeries) getOrSet(hash uint64, lset labels.Labels, createSeries fu
type histogramSample struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
type sample struct {
@ -1499,10 +1499,11 @@ type sample struct {
h *histogram.Histogram
}
func newSample(t int64, v float64) tsdbutil.Sample { return sample{t, v, nil} }
func (s sample) T() int64 { return s.t }
func (s sample) V() float64 { return s.v }
func (s sample) H() *histogram.Histogram { return s.h }
func newSample(t int64, v float64, h *histogram.Histogram) tsdbutil.Sample { return sample{t, v, h} }
func (s sample) T() int64 { return s.t }
func (s sample) V() float64 { return s.v }
func (s sample) H() *histogram.Histogram { return s.h }
// memSeries is the in-memory representation of a series. None of its methods
// are goroutine safe and it is the caller's responsibility to lock it.
@ -1661,9 +1662,9 @@ func (h *Head) updateWALReplayStatusRead(current int) {
h.stats.WALReplayStatus.Current = current
}
func GenerateTestHistograms(n int) (r []histogram.Histogram) {
func GenerateTestHistograms(n int) (r []*histogram.Histogram) {
for i := 0; i < n; i++ {
r = append(r, histogram.Histogram{
r = append(r, &histogram.Histogram{
Count: 5 + uint64(i*4),
ZeroCount: 2 + uint64(i),
ZeroThreshold: 0.001,

View file

@ -67,7 +67,7 @@ func (a *initAppender) AppendExemplar(ref uint64, l labels.Labels, e exemplar.Ex
return a.app.AppendExemplar(ref, l, e)
}
func (a *initAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h histogram.Histogram) (uint64, error) {
func (a *initAppender) AppendHistogram(ref uint64, l labels.Labels, t int64, h *histogram.Histogram) (uint64, error) {
if a.app != nil {
return a.app.AppendHistogram(ref, l, t, h)
}
@ -270,7 +270,7 @@ func (a *headAppender) Append(ref uint64, lset labels.Labels, t int64, v float64
}
if value.IsStaleNaN(v) && s.histogramSeries {
return a.AppendHistogram(ref, lset, t, histogram.Histogram{Sum: v})
return a.AppendHistogram(ref, lset, t, &histogram.Histogram{Sum: v})
}
s.Lock()
@ -322,7 +322,7 @@ func (s *memSeries) appendable(t int64, v float64) error {
}
// appendableHistogram checks whether the given sample is valid for appending to the series.
func (s *memSeries) appendableHistogram(t int64, sh histogram.Histogram) error {
func (s *memSeries) appendableHistogram(t int64, h *histogram.Histogram) error {
c := s.head()
if c == nil {
return nil
@ -334,7 +334,7 @@ func (s *memSeries) appendableHistogram(t int64, sh histogram.Histogram) error {
if t < c.maxTime {
return storage.ErrOutOfOrderSample
}
// TODO: do it for histogram.
// TODO(beorn7): do it for histogram.
// We are allowing exact duplicates as we can encounter them in valid cases
// like federation and erroring out at that time would be extremely noisy.
//if math.Float64bits(s.sampleBuf[3].v) != math.Float64bits(v) {
@ -372,7 +372,7 @@ func (a *headAppender) AppendExemplar(ref uint64, _ labels.Labels, e exemplar.Ex
return s.ref, nil
}
func (a *headAppender) AppendHistogram(ref uint64, lset labels.Labels, t int64, h histogram.Histogram) (uint64, error) {
func (a *headAppender) AppendHistogram(ref uint64, lset labels.Labels, t int64, h *histogram.Histogram) (uint64, error) {
if t < a.minValidTime {
a.head.metrics.outOfBoundSamples.Inc()
return 0, storage.ErrOutOfBounds
@ -606,7 +606,7 @@ func (s *memSeries) append(t int64, v float64, appendID uint64, chunkDiskMapper
// appendHistogram adds the histogram.
// It is unsafe to call this concurrently with s.iterator(...) without holding the series lock.
func (s *memSeries) appendHistogram(t int64, h histogram.Histogram, appendID uint64, chunkDiskMapper *chunks.ChunkDiskMapper) (sampleInOrder, chunkCreated bool) {
func (s *memSeries) appendHistogram(t int64, h *histogram.Histogram, appendID uint64, chunkDiskMapper *chunks.ChunkDiskMapper) (sampleInOrder, chunkCreated bool) {
// Head controls the execution of recoding, so that we own the proper chunk reference afterwards.
// We check for Appendable before appendPreprocessor because in case it ends up creating a new chunk,
// we need to know if there was also a counter reset or not to set the meta properly.

View file

@ -519,7 +519,7 @@ func (it *memSafeIterator) At() (int64, float64) {
return s.t, s.v
}
func (it *memSafeIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *memSafeIterator) AtHistogram() (int64, *histogram.Histogram) {
if it.total-it.i > 4 {
return it.Iterator.AtHistogram()
}

View file

@ -331,11 +331,11 @@ func TestHead_ReadWAL(t *testing.T) {
require.NoError(t, c.Err())
return x
}
require.Equal(t, []sample{{100, 2}, {101, 5}}, expandChunk(s10.iterator(0, nil, head.chunkDiskMapper, nil)))
require.Equal(t, []sample{{101, 6}}, expandChunk(s50.iterator(0, nil, head.chunkDiskMapper, nil)))
require.Equal(t, []sample{{100, 2, nil}, {101, 5, nil}}, expandChunk(s10.iterator(0, nil, head.chunkDiskMapper, nil)))
require.Equal(t, []sample{{101, 6, nil}}, expandChunk(s50.iterator(0, nil, head.chunkDiskMapper, nil)))
// The samples before the new series record should be discarded since a duplicate record
// is only possible when old samples were compacted.
require.Equal(t, []sample{{101, 7}}, expandChunk(s100.iterator(0, nil, head.chunkDiskMapper, nil)))
require.Equal(t, []sample{{101, 7, nil}}, expandChunk(s100.iterator(0, nil, head.chunkDiskMapper, nil)))
q, err := head.ExemplarQuerier(context.Background())
require.NoError(t, err)
@ -401,8 +401,8 @@ func TestHead_WALMultiRef(t *testing.T) {
// The samples before the new ref should be discarded since Head truncation
// happens only after compacting the Head.
require.Equal(t, map[string][]tsdbutil.Sample{`{foo="bar"}`: {
sample{1700, 3},
sample{2000, 4},
sample{1700, 3, nil},
sample{2000, 4, nil},
}}, series)
}
@ -798,7 +798,7 @@ func TestDeleteUntilCurMax(t *testing.T) {
it = exps.Iterator()
resSamples, err := storage.ExpandSamples(it, newSample)
require.NoError(t, err)
require.Equal(t, []tsdbutil.Sample{sample{11, 1}}, resSamples)
require.Equal(t, []tsdbutil.Sample{sample{11, 1, nil}}, resSamples)
for res.Next() {
}
require.NoError(t, res.Err())
@ -913,7 +913,7 @@ func TestDelete_e2e(t *testing.T) {
v := rand.Float64()
_, err := app.Append(0, ls, ts, v)
require.NoError(t, err)
series = append(series, sample{ts, v})
series = append(series, sample{ts, v, nil})
ts += rand.Int63n(timeInterval) + 1
}
seriesMap[labels.New(l...).String()] = series
@ -2397,7 +2397,7 @@ func TestDataMissingOnQueryDuringCompaction(t *testing.T) {
ref, err = app.Append(ref, labels.FromStrings("a", "b"), ts, float64(i))
require.NoError(t, err)
maxt = ts
expSamples = append(expSamples, sample{ts, float64(i)})
expSamples = append(expSamples, sample{ts, float64(i), nil})
}
require.NoError(t, app.Commit())
@ -2541,7 +2541,7 @@ func TestAppendHistogram(t *testing.T) {
type timedHistogram struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
expHistograms := make([]timedHistogram, 0, numHistograms)
for i, h := range GenerateTestHistograms(numHistograms) {
@ -2588,7 +2588,7 @@ func TestHistogramInWAL(t *testing.T) {
type timedHistogram struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
expHistograms := make([]timedHistogram, 0, numHistograms)
for i, h := range GenerateTestHistograms(numHistograms) {
@ -2728,7 +2728,7 @@ func TestChunkSnapshot(t *testing.T) {
// 240 samples should m-map at least 1 chunk.
for ts := int64(1); ts <= 240; ts++ {
val := rand.Float64()
expSeries[lblStr] = append(expSeries[lblStr], sample{ts, val})
expSeries[lblStr] = append(expSeries[lblStr], sample{ts, val, nil})
ref, err := app.Append(0, lbls, ts, val)
require.NoError(t, err)
@ -2788,7 +2788,7 @@ func TestChunkSnapshot(t *testing.T) {
// 240 samples should m-map at least 1 chunk.
for ts := int64(241); ts <= 480; ts++ {
val := rand.Float64()
expSeries[lblStr] = append(expSeries[lblStr], sample{ts, val})
expSeries[lblStr] = append(expSeries[lblStr], sample{ts, val, nil})
ref, err := app.Append(0, lbls, ts, val)
require.NoError(t, err)
@ -2977,7 +2977,7 @@ func TestHistogramStaleSample(t *testing.T) {
type timedHistogram struct {
t int64
h histogram.Histogram
h *histogram.Histogram
}
expHistograms := make([]timedHistogram, 0, numHistograms)
@ -3011,6 +3011,7 @@ func TestHistogramStaleSample(t *testing.T) {
require.True(t, value.IsStaleNaN(ah.h.Sum))
// To make require.Equal work.
ah.h.Sum = 0
eh.h = eh.h.Copy()
eh.h.Sum = 0
}
require.Equal(t, eh, ah)
@ -3028,7 +3029,7 @@ func TestHistogramStaleSample(t *testing.T) {
// +1 so that delta-of-delta is not 0.
_, err := app.Append(0, l, 100*int64(len(expHistograms))+1, math.Float64frombits(value.StaleNaN))
require.NoError(t, err)
expHistograms = append(expHistograms, timedHistogram{100*int64(len(expHistograms)) + 1, histogram.Histogram{Sum: math.Float64frombits(value.StaleNaN)}})
expHistograms = append(expHistograms, timedHistogram{100*int64(len(expHistograms)) + 1, &histogram.Histogram{Sum: math.Float64frombits(value.StaleNaN)}})
require.NoError(t, app.Commit())
// Only 1 chunk in the memory, no m-mapped chunk.
@ -3050,7 +3051,7 @@ func TestHistogramStaleSample(t *testing.T) {
// +1 so that delta-of-delta is not 0.
_, err = app.Append(0, l, 100*int64(len(expHistograms))+1, math.Float64frombits(value.StaleNaN))
require.NoError(t, err)
expHistograms = append(expHistograms, timedHistogram{100*int64(len(expHistograms)) + 1, histogram.Histogram{Sum: math.Float64frombits(value.StaleNaN)}})
expHistograms = append(expHistograms, timedHistogram{100*int64(len(expHistograms)) + 1, &histogram.Histogram{Sum: math.Float64frombits(value.StaleNaN)}})
require.NoError(t, app.Commit())
// Total 2 chunks, 1 m-mapped.
@ -3069,7 +3070,7 @@ func TestHistogramCounterResetHeader(t *testing.T) {
require.NoError(t, head.Init(0))
ts := int64(0)
appendHistogram := func(h histogram.Histogram) {
appendHistogram := func(h *histogram.Histogram) {
ts++
app := head.Appender(context.Background())
_, err := app.AppendHistogram(0, l, ts, h)

View file

@ -649,9 +649,11 @@ func (p *populateWithDelSeriesIterator) Seek(t int64) bool {
}
func (p *populateWithDelSeriesIterator) At() (int64, float64) { return p.curr.At() }
func (p *populateWithDelSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
func (p *populateWithDelSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
return p.curr.AtHistogram()
}
func (p *populateWithDelSeriesIterator) ChunkEncoding() chunkenc.Encoding {
return p.curr.ChunkEncoding()
}
@ -714,7 +716,7 @@ func (p *populateWithDelChunkSeriesIterator) Next() bool {
var (
t int64
v float64
h histogram.Histogram
h *histogram.Histogram
)
if p.currDelIter.ChunkEncoding() == chunkenc.EncHistogram {
if hc, ok := p.currChkMeta.Chunk.(*chunkenc.HistogramChunk); ok {
@ -870,7 +872,7 @@ func (it *DeletedIterator) At() (int64, float64) {
return it.Iter.At()
}
func (it *DeletedIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *DeletedIterator) AtHistogram() (int64, *histogram.Histogram) {
t, h := it.Iter.AtHistogram()
return t, h
}

View file

@ -277,24 +277,24 @@ func TestBlockQuerier(t *testing.T) {
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "a", ".*")},
exp: newMockSeriesSet([]storage.Series{
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{1, 2}, sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}, sample{7, 4}},
[]tsdbutil.Sample{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 4, nil}, sample{5, 2, nil}, sample{6, 3, nil}, sample{7, 4, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 3, nil}, sample{6, 6, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 3}, sample{2, 2}, sample{3, 6}, sample{5, 1}, sample{6, 7}, sample{7, 2}},
[]tsdbutil.Sample{sample{1, 3, nil}, sample{2, 2, nil}, sample{3, 6, nil}, sample{5, 1, nil}, sample{6, 7, nil}, sample{7, 2, nil}},
),
}),
expChks: newMockChunkSeriesSet([]storage.ChunkSeries{
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{1, 2}, sample{2, 3}, sample{3, 4}}, []tsdbutil.Sample{sample{5, 2}, sample{6, 3}, sample{7, 4}},
[]tsdbutil.Sample{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 4, nil}}, []tsdbutil.Sample{sample{5, 2, nil}, sample{6, 3, nil}, sample{7, 4, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}, []tsdbutil.Sample{sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}}, []tsdbutil.Sample{sample{5, 3, nil}, sample{6, 6, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 3}, sample{2, 2}, sample{3, 6}}, []tsdbutil.Sample{sample{5, 1}, sample{6, 7}, sample{7, 2}},
[]tsdbutil.Sample{sample{1, 3, nil}, sample{2, 2, nil}, sample{3, 6, nil}}, []tsdbutil.Sample{sample{5, 1, nil}, sample{6, 7, nil}, sample{7, 2, nil}},
),
}),
},
@ -304,18 +304,18 @@ func TestBlockQuerier(t *testing.T) {
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]storage.Series{
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}},
[]tsdbutil.Sample{sample{2, 3, nil}, sample{3, 4, nil}, sample{5, 2, nil}, sample{6, 3, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 3, nil}, sample{6, 6, nil}},
),
}),
expChks: newMockChunkSeriesSet([]storage.ChunkSeries{
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{2, 3}, sample{3, 4}}, []tsdbutil.Sample{sample{5, 2}, sample{6, 3}},
[]tsdbutil.Sample{sample{2, 3, nil}, sample{3, 4, nil}}, []tsdbutil.Sample{sample{5, 2, nil}, sample{6, 3, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{2, 2}, sample{3, 3}}, []tsdbutil.Sample{sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}}, []tsdbutil.Sample{sample{5, 3, nil}, sample{6, 6, nil}},
),
}),
},
@ -363,24 +363,24 @@ func TestBlockQuerier_AgainstHeadWithOpenChunks(t *testing.T) {
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "a", ".*")},
exp: newMockSeriesSet([]storage.Series{
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{1, 2}, sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}, sample{7, 4}},
[]tsdbutil.Sample{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 4, nil}, sample{5, 2, nil}, sample{6, 3, nil}, sample{7, 4, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 3, nil}, sample{6, 6, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 3}, sample{2, 2}, sample{3, 6}, sample{5, 1}, sample{6, 7}, sample{7, 2}},
[]tsdbutil.Sample{sample{1, 3, nil}, sample{2, 2, nil}, sample{3, 6, nil}, sample{5, 1, nil}, sample{6, 7, nil}, sample{7, 2, nil}},
),
}),
expChks: newMockChunkSeriesSet([]storage.ChunkSeries{
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{1, 2}, sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}, sample{7, 4}},
[]tsdbutil.Sample{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 4, nil}, sample{5, 2, nil}, sample{6, 3, nil}, sample{7, 4, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 3, nil}, sample{6, 6, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 3}, sample{2, 2}, sample{3, 6}, sample{5, 1}, sample{6, 7}, sample{7, 2}},
[]tsdbutil.Sample{sample{1, 3, nil}, sample{2, 2, nil}, sample{3, 6, nil}, sample{5, 1, nil}, sample{6, 7, nil}, sample{7, 2, nil}},
),
}),
},
@ -390,18 +390,18 @@ func TestBlockQuerier_AgainstHeadWithOpenChunks(t *testing.T) {
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]storage.Series{
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}},
[]tsdbutil.Sample{sample{2, 3, nil}, sample{3, 4, nil}, sample{5, 2, nil}, sample{6, 3, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 3, nil}, sample{6, 6, nil}},
),
}),
expChks: newMockChunkSeriesSet([]storage.ChunkSeries{
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}},
[]tsdbutil.Sample{sample{2, 3, nil}, sample{3, 4, nil}, sample{5, 2, nil}, sample{6, 3, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
[]tsdbutil.Sample{sample{2, 2, nil}, sample{3, 3, nil}, sample{5, 3, nil}, sample{6, 6, nil}},
),
}),
},
@ -442,22 +442,22 @@ var testData = []seriesSamples{
{
lset: map[string]string{"a": "a"},
chunks: [][]sample{
{{1, 2}, {2, 3}, {3, 4}},
{{5, 2}, {6, 3}, {7, 4}},
{{1, 2, nil}, {2, 3, nil}, {3, 4, nil}},
{{5, 2, nil}, {6, 3, nil}, {7, 4, nil}},
},
},
{
lset: map[string]string{"a": "a", "b": "b"},
chunks: [][]sample{
{{1, 1}, {2, 2}, {3, 3}},
{{5, 3}, {6, 6}},
{{1, 1, nil}, {2, 2, nil}, {3, 3, nil}},
{{5, 3, nil}, {6, 6, nil}},
},
},
{
lset: map[string]string{"b": "b"},
chunks: [][]sample{
{{1, 3}, {2, 2}, {3, 6}},
{{5, 1}, {6, 7}, {7, 2}},
{{1, 3, nil}, {2, 2, nil}, {3, 6, nil}},
{{5, 1, nil}, {6, 7, nil}, {7, 2, nil}},
},
},
}
@ -504,24 +504,24 @@ func TestBlockQuerierDelete(t *testing.T) {
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "a", ".*")},
exp: newMockSeriesSet([]storage.Series{
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{5, 2}, sample{6, 3}, sample{7, 4}},
[]tsdbutil.Sample{sample{5, 2, nil}, sample{6, 3, nil}, sample{7, 4, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{5, 3}},
[]tsdbutil.Sample{sample{5, 3, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 3}, sample{2, 2}, sample{3, 6}, sample{5, 1}},
[]tsdbutil.Sample{sample{1, 3, nil}, sample{2, 2, nil}, sample{3, 6, nil}, sample{5, 1, nil}},
),
}),
expChks: newMockChunkSeriesSet([]storage.ChunkSeries{
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{5, 2}, sample{6, 3}, sample{7, 4}},
[]tsdbutil.Sample{sample{5, 2, nil}, sample{6, 3, nil}, sample{7, 4, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{5, 3}},
[]tsdbutil.Sample{sample{5, 3, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{1, 3}, sample{2, 2}, sample{3, 6}}, []tsdbutil.Sample{sample{5, 1}},
[]tsdbutil.Sample{sample{1, 3, nil}, sample{2, 2, nil}, sample{3, 6, nil}}, []tsdbutil.Sample{sample{5, 1, nil}},
),
}),
},
@ -531,18 +531,18 @@ func TestBlockQuerierDelete(t *testing.T) {
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]storage.Series{
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{5, 2}, sample{6, 3}},
[]tsdbutil.Sample{sample{5, 2, nil}, sample{6, 3, nil}},
),
storage.NewListSeries(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{5, 3}},
[]tsdbutil.Sample{sample{5, 3, nil}},
),
}),
expChks: newMockChunkSeriesSet([]storage.ChunkSeries{
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}},
[]tsdbutil.Sample{sample{5, 2}, sample{6, 3}},
[]tsdbutil.Sample{sample{5, 2, nil}, sample{6, 3, nil}},
),
storage.NewListChunkSeriesFromSamples(labels.Labels{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}},
[]tsdbutil.Sample{sample{5, 3}},
[]tsdbutil.Sample{sample{5, 3, nil}},
),
}),
},
@ -625,57 +625,57 @@ func TestPopulateWithTombSeriesIterators(t *testing.T) {
{
name: "one chunk",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
},
expected: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil},
},
expectedChks: []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil},
}),
},
},
{
name: "two full chunks",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
expected: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}, sample{7, 89, nil}, sample{9, 8, nil},
},
expectedChks: []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil},
}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
sample{7, 89, nil}, sample{9, 8, nil},
}),
},
},
{
name: "three full chunks",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{10, 22}, sample{203, 3493}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
{sample{10, 22, nil}, sample{203, 3493, nil}},
},
expected: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8}, sample{10, 22}, sample{203, 3493},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}, sample{7, 89, nil}, sample{9, 8, nil}, sample{10, 22, nil}, sample{203, 3493, nil},
},
expectedChks: []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil},
}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
sample{7, 89, nil}, sample{9, 8, nil},
}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
sample{10, 22, nil}, sample{203, 3493, nil},
}),
},
},
@ -690,8 +690,8 @@ func TestPopulateWithTombSeriesIterators(t *testing.T) {
{
name: "two chunks and seek beyond chunks",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
seek: 10,
@ -700,27 +700,27 @@ func TestPopulateWithTombSeriesIterators(t *testing.T) {
{
name: "two chunks and seek on middle of first chunk",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
seek: 2,
seekSuccess: true,
expected: []tsdbutil.Sample{
sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8},
sample{3, 5, nil}, sample{6, 1, nil}, sample{7, 89, nil}, sample{9, 8, nil},
},
},
{
name: "two chunks and seek before first chunk",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
seek: -32,
seekSuccess: true,
expected: []tsdbutil.Sample{
sample{1, 2}, sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8},
sample{1, 2, nil}, sample{3, 5, nil}, sample{6, 1, nil}, sample{7, 89, nil}, sample{9, 8, nil},
},
},
// Deletion / Trim cases.
@ -732,60 +732,60 @@ func TestPopulateWithTombSeriesIterators(t *testing.T) {
{
name: "two chunks with trimmed first and last samples from edge chunks",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
intervals: tombstones.Intervals{{Mint: math.MinInt64, Maxt: 2}}.Add(tombstones.Interval{Mint: 9, Maxt: math.MaxInt64}),
expected: []tsdbutil.Sample{
sample{3, 5}, sample{6, 1}, sample{7, 89},
sample{3, 5, nil}, sample{6, 1, nil}, sample{7, 89, nil},
},
expectedChks: []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{3, 5}, sample{6, 1},
sample{3, 5, nil}, sample{6, 1, nil},
}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{7, 89},
sample{7, 89, nil},
}),
},
},
{
name: "two chunks with trimmed middle sample of first chunk",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
intervals: tombstones.Intervals{{Mint: 2, Maxt: 3}},
expected: []tsdbutil.Sample{
sample{1, 2}, sample{6, 1}, sample{7, 89}, sample{9, 8},
sample{1, 2, nil}, sample{6, 1, nil}, sample{7, 89, nil}, sample{9, 8, nil},
},
expectedChks: []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{1, 2}, sample{6, 1},
sample{1, 2, nil}, sample{6, 1, nil},
}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
sample{7, 89, nil}, sample{9, 8, nil},
}),
},
},
{
name: "two chunks with deletion across two chunks",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
intervals: tombstones.Intervals{{Mint: 6, Maxt: 7}},
expected: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{9, 8},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{9, 8, nil},
},
expectedChks: []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5},
sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil},
}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{
sample{9, 8},
sample{9, 8, nil},
}),
},
},
@ -793,15 +793,15 @@ func TestPopulateWithTombSeriesIterators(t *testing.T) {
{
name: "two chunks with trimmed first and last samples from edge chunks, seek from middle of first chunk",
chks: [][]tsdbutil.Sample{
{sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}},
{sample{7, 89}, sample{9, 8}},
{sample{1, 2, nil}, sample{2, 3, nil}, sample{3, 5, nil}, sample{6, 1, nil}},
{sample{7, 89, nil}, sample{9, 8, nil}},
},
intervals: tombstones.Intervals{{Mint: math.MinInt64, Maxt: 2}}.Add(tombstones.Interval{Mint: 9, Maxt: math.MaxInt64}),
seek: 3,
seekSuccess: true,
expected: []tsdbutil.Sample{
sample{3, 5}, sample{6, 1}, sample{7, 89},
sample{3, 5, nil}, sample{6, 1, nil}, sample{7, 89, nil},
},
},
}
@ -857,8 +857,8 @@ func rmChunkRefs(chks []chunks.Meta) {
func TestPopulateWithDelSeriesIterator_DoubleSeek(t *testing.T) {
f, chkMetas := createFakeReaderAndNotPopulatedChunks(
[]tsdbutil.Sample{},
[]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}},
[]tsdbutil.Sample{sample{4, 4}, sample{5, 5}},
[]tsdbutil.Sample{sample{1, 1, nil}, sample{2, 2, nil}, sample{3, 3, nil}},
[]tsdbutil.Sample{sample{4, 4, nil}, sample{5, 5, nil}},
)
it := newPopulateWithDelGenericSeriesIterator(f, chkMetas, nil).toSeriesIterator()
@ -875,7 +875,7 @@ func TestPopulateWithDelSeriesIterator_DoubleSeek(t *testing.T) {
func TestPopulateWithDelSeriesIterator_SeekInCurrentChunk(t *testing.T) {
f, chkMetas := createFakeReaderAndNotPopulatedChunks(
[]tsdbutil.Sample{},
[]tsdbutil.Sample{sample{1, 2}, sample{3, 4}, sample{5, 6}, sample{7, 8}},
[]tsdbutil.Sample{sample{1, 2, nil}, sample{3, 4, nil}, sample{5, 6, nil}, sample{7, 8, nil}},
[]tsdbutil.Sample{},
)
@ -893,7 +893,7 @@ func TestPopulateWithDelSeriesIterator_SeekInCurrentChunk(t *testing.T) {
func TestPopulateWithDelSeriesIterator_SeekWithMinTime(t *testing.T) {
f, chkMetas := createFakeReaderAndNotPopulatedChunks(
[]tsdbutil.Sample{sample{1, 6}, sample{5, 6}, sample{6, 8}},
[]tsdbutil.Sample{sample{1, 6, nil}, sample{5, 6, nil}, sample{6, 8, nil}},
)
it := newPopulateWithDelGenericSeriesIterator(f, chkMetas, nil).toSeriesIterator()
@ -905,7 +905,7 @@ func TestPopulateWithDelSeriesIterator_SeekWithMinTime(t *testing.T) {
// Seek gets called and advances beyond the max time, which was just accepted as a valid sample.
func TestPopulateWithDelSeriesIterator_NextWithMinTime(t *testing.T) {
f, chkMetas := createFakeReaderAndNotPopulatedChunks(
[]tsdbutil.Sample{sample{1, 6}, sample{5, 6}, sample{7, 8}},
[]tsdbutil.Sample{sample{1, 6, nil}, sample{5, 6, nil}, sample{7, 8, nil}},
)
it := newPopulateWithDelGenericSeriesIterator(

View file

@ -74,7 +74,7 @@ type RefExemplar struct {
type RefHistogram struct {
Ref uint64
T int64
H histogram.Histogram
H *histogram.Histogram
}
// Decoder decodes series, sample, and tombstone records.
@ -253,7 +253,7 @@ func (d *Decoder) Histograms(rec []byte, histograms []RefHistogram) ([]RefHistog
rh := RefHistogram{
Ref: baseRef + uint64(dref),
T: baseTime + dtime,
H: histogram.Histogram{
H: &histogram.Histogram{
Schema: 0,
ZeroThreshold: 0,
ZeroCount: 0,

View file

@ -165,9 +165,9 @@ func (it *sampleRingIterator) At() (int64, float64) {
return it.r.at(it.i)
}
func (it *sampleRingIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *sampleRingIterator) AtHistogram() (int64, *histogram.Histogram) {
// TODO(beorn7): Add proper histogram support.
return 0, histogram.Histogram{}
return 0, nil
}
func (it *sampleRingIterator) ChunkEncoding() chunkenc.Encoding {

View file

@ -152,12 +152,9 @@ func (it *listSeriesIterator) At() (int64, float64) {
return s.t, s.v
}
func (it *listSeriesIterator) AtHistogram() (int64, histogram.Histogram) {
func (it *listSeriesIterator) AtHistogram() (int64, *histogram.Histogram) {
s := it.list[it.idx]
if s.h == nil {
return s.t, histogram.Histogram{}
}
return s.t, *s.h
return s.t, s.h
}
func (it *listSeriesIterator) ChunkEncoding() chunkenc.Encoding {

View file

@ -115,7 +115,8 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
if ok {
t, v = it.Values()
} else {
t, v, ok = it.PeekBack(1)
// TODO(beorn7): Handle histograms.
t, v, _, ok = it.PeekBack(1)
if !ok {
continue
}
@ -220,6 +221,7 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
protMetric.TimestampMs = proto.Int64(s.T)
protMetric.Untyped.Value = proto.Float64(s.V)
// TODO(beorn7): Handle histograms.
protMetricFam.Metric = append(protMetricFam.Metric, protMetric)
}