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storage: make histogram reset handling consistent in chainSampleIterator (#12779)

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storage: make histogram reset handling consistent in chainSampleIterator

---------

Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
pull/12868/head
George Krajcsovits 1 year ago committed by GitHub
parent 69edd8709b
commit 3512b2d678
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 412 additions and 119 deletions
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8
storage/merge.go
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@ -523,8 +523,12 @@ func (c *chainSampleIterator) AtHistogram() (int64, *histogram.Histogram) {
}
t, h := c.curr.AtHistogram()
// If the current sample is not consecutive with the previous one, we
// cannot be sure anymore that there was no counter reset.
if !c.consecutive && h.CounterResetHint == histogram.NotCounterReset {
// cannot be sure anymore about counter resets for counter histograms.
// TODO(beorn7): If a `NotCounterReset` sample is followed by a
// non-consecutive `CounterReset` sample, we could keep the hint as
// `CounterReset`. But then we needed to track the previous sample
// in more detail, which might not be worth it.
if !c.consecutive && h.CounterResetHint != histogram.GaugeType {
h.CounterResetHint = histogram.UnknownCounterReset
}
return t, h

449
storage/merge_test.go
Unescape View File

@ -24,6 +24,7 @@ import (
"github.com/stretchr/testify/require"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/tsdb/chunks"
@ -384,16 +385,36 @@ func TestMergeChunkQuerierWithNoVerticalChunkSeriesMerger(t *testing.T) {
}
}
func histogramSample(ts int64, hint histogram.CounterResetHint) hSample {
h := tsdbutil.GenerateTestHistogram(int(ts + 1))
h.CounterResetHint = hint
return hSample{t: ts, h: h}
}
func floatHistogramSample(ts int64, hint histogram.CounterResetHint) fhSample {
fh := tsdbutil.GenerateTestFloatHistogram(int(ts + 1))
fh.CounterResetHint = hint
return fhSample{t: ts, fh: fh}
}
// Shorthands for counter reset hints.
const (
uk = histogram.UnknownCounterReset
cr = histogram.CounterReset
nr = histogram.NotCounterReset
ga = histogram.GaugeType
)
func TestCompactingChunkSeriesMerger(t *testing.T) {
m := NewCompactingChunkSeriesMerger(ChainedSeriesMerge)
// histogramSample returns a histogram that is unique to the ts.
histogramSample := func(ts int64) hSample {
return hSample{t: ts, h: tsdbutil.GenerateTestHistogram(int(ts + 1))}
return histogramSample(ts, uk)
}
floatHistogramSample := func(ts int64) fhSample {
return fhSample{t: ts, fh: tsdbutil.GenerateTestFloatHistogram(int(ts + 1))}
return floatHistogramSample(ts, uk)
}
for _, tc := range []struct {
@ -573,10 +594,131 @@ func TestCompactingChunkSeriesMerger(t *testing.T) {
require.Equal(t, expErr, actErr)
require.Equal(t, expChks, actChks)
actSamples := chunks.ChunkMetasToSamples(actChks)
expSamples := chunks.ChunkMetasToSamples(expChks)
require.Equal(t, expSamples, actSamples)
})
}
}
func TestCompactingChunkSeriesMergerHistogramCounterResetHint(t *testing.T) {
m := NewCompactingChunkSeriesMerger(ChainedSeriesMerge)
for sampleType, sampleFunc := range map[string]func(int64, histogram.CounterResetHint) chunks.Sample{
"histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return histogramSample(ts, hint) },
"float histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return floatHistogramSample(ts, hint) },
} {
for name, tc := range map[string]struct {
input []ChunkSeries
expected ChunkSeries
}{
"histogram counter reset hint kept in single series": {
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
),
},
"histogram not counter reset hint kept in single series": {
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
),
},
"histogram counter reset hint kept in multiple equal series": {
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
),
},
"histogram not counter reset hint kept in multiple equal series": {
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
),
},
"histogram counter reset hint dropped from differing series": {
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, cr), sampleFunc(12, uk), sampleFunc(15, uk)},
),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, uk), sampleFunc(12, uk), sampleFunc(15, uk)},
),
},
"histogram counter not reset hint dropped from differing series": {
input: []ChunkSeries{
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
),
NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, nr), sampleFunc(12, uk), sampleFunc(15, uk)},
),
},
expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
[]chunks.Sample{sampleFunc(10, uk), sampleFunc(12, uk), sampleFunc(15, uk)},
),
},
} {
t.Run(sampleType+"/"+name, func(t *testing.T) {
merged := m(tc.input...)
require.Equal(t, tc.expected.Labels(), merged.Labels())
actChks, actErr := ExpandChunks(merged.Iterator(nil))
expChks, expErr := ExpandChunks(tc.expected.Iterator(nil))
require.Equal(t, expErr, actErr)
require.Equal(t, expChks, actChks)
actSamples := chunks.ChunkMetasToSamples(actChks)
expSamples := chunks.ChunkMetasToSamples(expChks)
require.Equal(t, expSamples, actSamples)
})
}
}
}
func TestConcatenatingChunkSeriesMerger(t *testing.T) {
m := NewConcatenatingChunkSeriesMerger()
@ -804,102 +946,243 @@ func (m *mockChunkSeriesSet) Err() error { return nil }
func (m *mockChunkSeriesSet) Warnings() annotations.Annotations { return nil }
func TestChainSampleIterator(t *testing.T) {
for _, tc := range []struct {
input []chunkenc.Iterator
expected []chunks.Sample
}{
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
},
expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
NewListSeriesIterator(samples{fSample{2, 2}, fSample{3, 3}}),
for sampleType, sampleFunc := range map[string]func(int64) chunks.Sample{
"float": func(ts int64) chunks.Sample { return fSample{ts, float64(ts)} },
"histogram": func(ts int64) chunks.Sample { return histogramSample(ts, uk) },
"float histogram": func(ts int64) chunks.Sample { return floatHistogramSample(ts, uk) },
} {
for name, tc := range map[string]struct {
input []chunkenc.Iterator
expected []chunks.Sample
}{
"single iterator": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
},
expected: []chunks.Sample{sampleFunc(0), sampleFunc(1)},
},
expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{3, 3}}),
NewListSeriesIterator(samples{fSample{1, 1}, fSample{4, 4}}),
NewListSeriesIterator(samples{fSample{2, 2}, fSample{5, 5}}),
"non overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(3)}),
},
expected: []chunks.Sample{sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3)},
},
expected: []chunks.Sample{
fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}, fSample{4, 4}, fSample{5, 5},
"overlapping but distinct iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(3)}),
NewListSeriesIterator(samples{sampleFunc(1), sampleFunc(4)}),
NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(5)}),
},
expected: []chunks.Sample{
sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3), sampleFunc(4), sampleFunc(5),
},
},
},
// Overlap.
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
NewListSeriesIterator(samples{fSample{0, 0}, fSample{2, 2}}),
NewListSeriesIterator(samples{fSample{2, 2}, fSample{3, 3}}),
NewListSeriesIterator(samples{}),
NewListSeriesIterator(samples{}),
NewListSeriesIterator(samples{}),
"overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(2)}),
NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(3)}),
NewListSeriesIterator(samples{}),
NewListSeriesIterator(samples{}),
NewListSeriesIterator(samples{}),
},
expected: []chunks.Sample{sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3)},
},
expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}},
},
} {
t.Run(sampleType+"/"+name, func(t *testing.T) {
merged := ChainSampleIteratorFromIterators(nil, tc.input)
actual, err := ExpandSamples(merged, nil)
require.NoError(t, err)
require.Equal(t, tc.expected, actual)
})
}
}
}
func TestChainSampleIteratorHistogramCounterResetHint(t *testing.T) {
for sampleType, sampleFunc := range map[string]func(int64, histogram.CounterResetHint) chunks.Sample{
"histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return histogramSample(ts, hint) },
"float histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return floatHistogramSample(ts, hint) },
} {
merged := ChainSampleIteratorFromIterators(nil, tc.input)
actual, err := ExpandSamples(merged, nil)
require.NoError(t, err)
require.Equal(t, tc.expected, actual)
for name, tc := range map[string]struct {
input []chunkenc.Iterator
expected []chunks.Sample
}{
"single iterator": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, uk)}),
},
expected: []chunks.Sample{sampleFunc(0, uk), sampleFunc(1, cr), sampleFunc(2, uk)},
},
"single iterator gauge": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga)}),
},
expected: []chunks.Sample{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga)},
},
"overlapping iterators gauge": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga), sampleFunc(4, ga)}),
NewListSeriesIterator(samples{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(3, ga), sampleFunc(5, ga)}),
},
expected: []chunks.Sample{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga), sampleFunc(3, ga), sampleFunc(4, ga), sampleFunc(5, ga)},
},
"non overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, uk)}),
NewListSeriesIterator(samples{sampleFunc(2, cr), sampleFunc(3, cr)}),
},
expected: []chunks.Sample{sampleFunc(0, uk), sampleFunc(1, uk), sampleFunc(2, uk), sampleFunc(3, cr)},
},
"overlapping but distinct iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(3, uk), sampleFunc(5, cr)}),
NewListSeriesIterator(samples{sampleFunc(1, uk), sampleFunc(2, cr), sampleFunc(4, cr)}),
},
expected: []chunks.Sample{
sampleFunc(0, uk), sampleFunc(1, uk), sampleFunc(2, cr), sampleFunc(3, uk), sampleFunc(4, uk), sampleFunc(5, uk),
},
},
"overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, cr)}),
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, cr)}),
},
expected: []chunks.Sample{sampleFunc(0, uk), sampleFunc(1, uk), sampleFunc(2, uk)},
},
} {
t.Run(sampleType+"/"+name, func(t *testing.T) {
merged := ChainSampleIteratorFromIterators(nil, tc.input)
actual, err := ExpandSamples(merged, nil)
require.NoError(t, err)
require.Equal(t, tc.expected, actual)
})
}
}
}
func TestChainSampleIteratorSeek(t *testing.T) {
for _, tc := range []struct {
input []chunkenc.Iterator
seek int64
expected []chunks.Sample
}{
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}}),
for sampleType, sampleFunc := range map[string]func(int64) chunks.Sample{
"float": func(ts int64) chunks.Sample { return fSample{ts, float64(ts)} },
"histogram": func(ts int64) chunks.Sample { return histogramSample(ts, uk) },
"float histogram": func(ts int64) chunks.Sample { return floatHistogramSample(ts, uk) },
} {
for name, tc := range map[string]struct {
input []chunkenc.Iterator
seek int64
expected []chunks.Sample
}{
"single iterator": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1), sampleFunc(2)}),
},
seek: 1,
expected: []chunks.Sample{sampleFunc(1), sampleFunc(2)},
},
seek: 1,
expected: []chunks.Sample{fSample{1, 1}, fSample{2, 2}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
NewListSeriesIterator(samples{fSample{2, 2}, fSample{3, 3}}),
"non overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(3)}),
},
seek: 2,
expected: []chunks.Sample{sampleFunc(2), sampleFunc(3)},
},
seek: 2,
expected: []chunks.Sample{fSample{2, 2}, fSample{3, 3}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{3, 3}}),
NewListSeriesIterator(samples{fSample{1, 1}, fSample{4, 4}}),
NewListSeriesIterator(samples{fSample{2, 2}, fSample{5, 5}}),
"overlapping but distinct iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(3)}),
NewListSeriesIterator(samples{sampleFunc(1), sampleFunc(4)}),
NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(5)}),
},
seek: 2,
expected: []chunks.Sample{sampleFunc(2), sampleFunc(3), sampleFunc(4), sampleFunc(5)},
},
seek: 2,
expected: []chunks.Sample{fSample{2, 2}, fSample{3, 3}, fSample{4, 4}, fSample{5, 5}},
},
{
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{fSample{0, 0}, fSample{2, 2}, fSample{3, 3}}),
NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}}),
"overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(2), sampleFunc(3)}),
NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1), sampleFunc(2)}),
},
seek: 0,
expected: []chunks.Sample{sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3)},
},
seek: 0,
expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}},
},
} {
t.Run(sampleType+"/"+name, func(t *testing.T) {
merged := ChainSampleIteratorFromIterators(nil, tc.input)
actual := []chunks.Sample{}
switch merged.Seek(tc.seek) {
case chunkenc.ValFloat:
t, f := merged.At()
actual = append(actual, fSample{t, f})
case chunkenc.ValHistogram:
t, h := merged.AtHistogram()
actual = append(actual, hSample{t, h})
case chunkenc.ValFloatHistogram:
t, fh := merged.AtFloatHistogram()
actual = append(actual, fhSample{t, fh})
}
s, err := ExpandSamples(merged, nil)
require.NoError(t, err)
actual = append(actual, s...)
require.Equal(t, tc.expected, actual)
})
}
}
}
func TestChainSampleIteratorSeekHistogramCounterResetHint(t *testing.T) {
for sampleType, sampleFunc := range map[string]func(int64, histogram.CounterResetHint) chunks.Sample{
"histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return histogramSample(ts, hint) },
"float histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return floatHistogramSample(ts, hint) },
} {
merged := ChainSampleIteratorFromIterators(nil, tc.input)
actual := []chunks.Sample{}
if merged.Seek(tc.seek) == chunkenc.ValFloat {
t, f := merged.At()
actual = append(actual, fSample{t, f})
for name, tc := range map[string]struct {
input []chunkenc.Iterator
seek int64
expected []chunks.Sample
}{
"single iterator": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, uk)}),
},
seek: 1,
expected: []chunks.Sample{sampleFunc(1, uk), sampleFunc(2, uk)},
},
"non overlapping iterators": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, uk)}),
NewListSeriesIterator(samples{sampleFunc(2, cr), sampleFunc(3, cr)}),
},
seek: 2,
expected: []chunks.Sample{sampleFunc(2, uk), sampleFunc(3, cr)},
},
"non overlapping iterators seek to internal reset": {
input: []chunkenc.Iterator{
NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, uk)}),
NewListSeriesIterator(samples{sampleFunc(2, cr), sampleFunc(3, cr)}),
},
seek: 3,
expected: []chunks.Sample{sampleFunc(3, uk)},
},
} {
t.Run(sampleType+"/"+name, func(t *testing.T) {
merged := ChainSampleIteratorFromIterators(nil, tc.input)
actual := []chunks.Sample{}
switch merged.Seek(tc.seek) {
case chunkenc.ValFloat:
t, f := merged.At()
actual = append(actual, fSample{t, f})
case chunkenc.ValHistogram:
t, h := merged.AtHistogram()
actual = append(actual, hSample{t, h})
case chunkenc.ValFloatHistogram:
t, fh := merged.AtFloatHistogram()
actual = append(actual, fhSample{t, fh})
}
s, err := ExpandSamples(merged, nil)
require.NoError(t, err)
actual = append(actual, s...)
require.Equal(t, tc.expected, actual)
})
}
s, err := ExpandSamples(merged, nil)
require.NoError(t, err)
actual = append(actual, s...)
require.Equal(t, tc.expected, actual)
}
}

46
storage/series_test.go
Unescape View File

@ -430,35 +430,36 @@ func testHistogramsSeriesToChunks(t *testing.T, test histogramTest) {
require.Equal(t, len(test.expectedCounterResetHeaders), len(chks))
// Decode all encoded samples and assert they are equal to the original ones.
encodedSamples := expandHistogramSamples(chks)
encodedSamples := chunks.ChunkMetasToSamples(chks)
require.Equal(t, len(test.samples), len(encodedSamples))
for i, s := range test.samples {
encodedSample := encodedSamples[i]
switch expectedSample := s.(type) {
case hSample:
encodedSample, ok := encodedSamples[i].(hSample)
require.True(t, ok, "expect histogram", fmt.Sprintf("at idx %d", i))
require.Equal(t, chunkenc.ValHistogram, encodedSample.Type(), "expect histogram", fmt.Sprintf("at idx %d", i))
h := encodedSample.H()
// Ignore counter reset if not gauge here, will check on chunk level.
if expectedSample.h.CounterResetHint != histogram.GaugeType {
encodedSample.h.CounterResetHint = histogram.UnknownCounterReset
h.CounterResetHint = histogram.UnknownCounterReset
}
if value.IsStaleNaN(expectedSample.h.Sum) {
require.True(t, value.IsStaleNaN(encodedSample.h.Sum), fmt.Sprintf("at idx %d", i))
require.True(t, value.IsStaleNaN(h.Sum), fmt.Sprintf("at idx %d", i))
continue
}
require.Equal(t, *expectedSample.h, *encodedSample.h.Compact(0), fmt.Sprintf("at idx %d", i))
require.Equal(t, *expectedSample.h, *h.Compact(0), fmt.Sprintf("at idx %d", i))
case fhSample:
encodedSample, ok := encodedSamples[i].(fhSample)
require.True(t, ok, "expect float histogram", fmt.Sprintf("at idx %d", i))
require.Equal(t, chunkenc.ValFloatHistogram, encodedSample.Type(), "expect float histogram", fmt.Sprintf("at idx %d", i))
fh := encodedSample.FH()
// Ignore counter reset if not gauge here, will check on chunk level.
if expectedSample.fh.CounterResetHint != histogram.GaugeType {
encodedSample.fh.CounterResetHint = histogram.UnknownCounterReset
fh.CounterResetHint = histogram.UnknownCounterReset
}
if value.IsStaleNaN(expectedSample.fh.Sum) {
require.True(t, value.IsStaleNaN(encodedSample.fh.Sum), fmt.Sprintf("at idx %d", i))
require.True(t, value.IsStaleNaN(fh.Sum), fmt.Sprintf("at idx %d", i))
continue
}
require.Equal(t, *expectedSample.fh, *encodedSample.fh.Compact(0), fmt.Sprintf("at idx %d", i))
require.Equal(t, *expectedSample.fh, *fh.Compact(0), fmt.Sprintf("at idx %d", i))
default:
t.Error("internal error, unexpected type")
}
@ -469,29 +470,6 @@ func testHistogramsSeriesToChunks(t *testing.T, test histogramTest) {
}
}
func expandHistogramSamples(chunks []chunks.Meta) (result []chunks.Sample) {
if len(chunks) == 0 {
return
}
for _, chunk := range chunks {
it := chunk.Chunk.Iterator(nil)
for vt := it.Next(); vt != chunkenc.ValNone; vt = it.Next() {
switch vt {
case chunkenc.ValHistogram:
t, h := it.AtHistogram()
result = append(result, hSample{t: t, h: h})
case chunkenc.ValFloatHistogram:
t, fh := it.AtFloatHistogram()
result = append(result, fhSample{t: t, fh: fh})
default:
panic("unexpected value type")
}
}
}
return
}
func getCounterResetHint(chunk chunks.Meta) chunkenc.CounterResetHeader {
switch chk := chunk.Chunk.(type) {
case *chunkenc.HistogramChunk:

28
tsdb/chunks/chunks.go
Unescape View File

@ -207,6 +207,34 @@ func PopulatedChunk(numSamples int, minTime int64) (Meta, error) {
return ChunkFromSamples(samples)
}
// ChunkMetasToSamples converts a slice of chunk meta data to a slice of samples.
// Used in tests to compare the content of chunks.
func ChunkMetasToSamples(chunks []Meta) (result []Sample) {
if len(chunks) == 0 {
return
}
for _, chunk := range chunks {
it := chunk.Chunk.Iterator(nil)
for vt := it.Next(); vt != chunkenc.ValNone; vt = it.Next() {
switch vt {
case chunkenc.ValFloat:
t, v := it.At()
result = append(result, sample{t: t, f: v})
case chunkenc.ValHistogram:
t, h := it.AtHistogram()
result = append(result, sample{t: t, h: h})
case chunkenc.ValFloatHistogram:
t, fh := it.AtFloatHistogram()
result = append(result, sample{t: t, fh: fh})
default:
panic("unexpected value type")
}
}
}
return
}
// Iterator iterates over the chunks of a single time series.
type Iterator interface {
// At returns the current meta.

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