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storage: make histogram reset handling consistent in chainSampleIterator (#12779)
storage: make histogram reset handling consistent in chainSampleIterator --------- Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
This commit is contained in:
George Krajcsovits
GitHub
parent
69edd8709b
commit
3512b2d678
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@ -523,8 +523,12 @@ func (c *chainSampleIterator) AtHistogram() (int64, *histogram.Histogram) {
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}
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t, h := c.curr.AtHistogram()
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// If the current sample is not consecutive with the previous one, we
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// cannot be sure anymore that there was no counter reset.
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if !c.consecutive && h.CounterResetHint == histogram.NotCounterReset {
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// cannot be sure anymore about counter resets for counter histograms.
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// TODO(beorn7): If a `NotCounterReset` sample is followed by a
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// non-consecutive `CounterReset` sample, we could keep the hint as
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// `CounterReset`. But then we needed to track the previous sample
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// in more detail, which might not be worth it.
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if !c.consecutive && h.CounterResetHint != histogram.GaugeType {
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h.CounterResetHint = histogram.UnknownCounterReset
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}
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return t, h
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@ -24,6 +24,7 @@ import (
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/chunks"
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@ -384,16 +385,36 @@ func TestMergeChunkQuerierWithNoVerticalChunkSeriesMerger(t *testing.T) {
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}
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}
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func histogramSample(ts int64, hint histogram.CounterResetHint) hSample {
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h := tsdbutil.GenerateTestHistogram(int(ts + 1))
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h.CounterResetHint = hint
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return hSample{t: ts, h: h}
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}
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func floatHistogramSample(ts int64, hint histogram.CounterResetHint) fhSample {
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fh := tsdbutil.GenerateTestFloatHistogram(int(ts + 1))
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fh.CounterResetHint = hint
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return fhSample{t: ts, fh: fh}
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}
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// Shorthands for counter reset hints.
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const (
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uk = histogram.UnknownCounterReset
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cr = histogram.CounterReset
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nr = histogram.NotCounterReset
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ga = histogram.GaugeType
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)
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func TestCompactingChunkSeriesMerger(t *testing.T) {
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m := NewCompactingChunkSeriesMerger(ChainedSeriesMerge)
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// histogramSample returns a histogram that is unique to the ts.
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histogramSample := func(ts int64) hSample {
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return hSample{t: ts, h: tsdbutil.GenerateTestHistogram(int(ts + 1))}
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return histogramSample(ts, uk)
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}
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floatHistogramSample := func(ts int64) fhSample {
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return fhSample{t: ts, fh: tsdbutil.GenerateTestFloatHistogram(int(ts + 1))}
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return floatHistogramSample(ts, uk)
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}
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for _, tc := range []struct {
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@ -573,10 +594,131 @@ func TestCompactingChunkSeriesMerger(t *testing.T) {
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require.Equal(t, expErr, actErr)
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require.Equal(t, expChks, actChks)
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actSamples := chunks.ChunkMetasToSamples(actChks)
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expSamples := chunks.ChunkMetasToSamples(expChks)
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require.Equal(t, expSamples, actSamples)
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})
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}
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}
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func TestCompactingChunkSeriesMergerHistogramCounterResetHint(t *testing.T) {
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m := NewCompactingChunkSeriesMerger(ChainedSeriesMerge)
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for sampleType, sampleFunc := range map[string]func(int64, histogram.CounterResetHint) chunks.Sample{
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"histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return histogramSample(ts, hint) },
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"float histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return floatHistogramSample(ts, hint) },
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} {
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for name, tc := range map[string]struct {
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input []ChunkSeries
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expected ChunkSeries
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}{
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"histogram counter reset hint kept in single series": {
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
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),
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
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),
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},
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"histogram not counter reset hint kept in single series": {
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
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),
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
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),
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},
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"histogram counter reset hint kept in multiple equal series": {
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
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),
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
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),
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
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),
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},
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"histogram not counter reset hint kept in multiple equal series": {
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
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),
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
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),
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
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),
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},
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"histogram counter reset hint dropped from differing series": {
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(15, uk)},
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),
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, cr), sampleFunc(12, uk), sampleFunc(15, uk)},
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),
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, cr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, uk), sampleFunc(12, uk), sampleFunc(15, uk)},
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),
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},
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"histogram counter not reset hint dropped from differing series": {
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(15, uk)},
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),
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, nr), sampleFunc(12, uk), sampleFunc(15, uk)},
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),
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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[]chunks.Sample{sampleFunc(0, nr), sampleFunc(5, uk)},
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[]chunks.Sample{sampleFunc(10, uk), sampleFunc(12, uk), sampleFunc(15, uk)},
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),
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},
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} {
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t.Run(sampleType+"/"+name, func(t *testing.T) {
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merged := m(tc.input...)
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require.Equal(t, tc.expected.Labels(), merged.Labels())
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actChks, actErr := ExpandChunks(merged.Iterator(nil))
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expChks, expErr := ExpandChunks(tc.expected.Iterator(nil))
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require.Equal(t, expErr, actErr)
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require.Equal(t, expChks, actChks)
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actSamples := chunks.ChunkMetasToSamples(actChks)
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expSamples := chunks.ChunkMetasToSamples(expChks)
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require.Equal(t, expSamples, actSamples)
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})
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}
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}
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}
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func TestConcatenatingChunkSeriesMerger(t *testing.T) {
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m := NewConcatenatingChunkSeriesMerger()
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@ -804,102 +946,243 @@ func (m *mockChunkSeriesSet) Err() error { return nil }
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func (m *mockChunkSeriesSet) Warnings() annotations.Annotations { return nil }
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func TestChainSampleIterator(t *testing.T) {
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for _, tc := range []struct {
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input []chunkenc.Iterator
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expected []chunks.Sample
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}{
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
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},
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expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}},
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},
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
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NewListSeriesIterator(samples{fSample{2, 2}, fSample{3, 3}}),
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},
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expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}},
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},
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{3, 3}}),
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NewListSeriesIterator(samples{fSample{1, 1}, fSample{4, 4}}),
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NewListSeriesIterator(samples{fSample{2, 2}, fSample{5, 5}}),
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},
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expected: []chunks.Sample{
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fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}, fSample{4, 4}, fSample{5, 5},
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},
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},
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// Overlap.
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{2, 2}}),
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NewListSeriesIterator(samples{fSample{2, 2}, fSample{3, 3}}),
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NewListSeriesIterator(samples{}),
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NewListSeriesIterator(samples{}),
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NewListSeriesIterator(samples{}),
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},
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expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}, fSample{3, 3}},
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},
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for sampleType, sampleFunc := range map[string]func(int64) chunks.Sample{
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"float": func(ts int64) chunks.Sample { return fSample{ts, float64(ts)} },
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"histogram": func(ts int64) chunks.Sample { return histogramSample(ts, uk) },
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"float histogram": func(ts int64) chunks.Sample { return floatHistogramSample(ts, uk) },
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} {
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merged := ChainSampleIteratorFromIterators(nil, tc.input)
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actual, err := ExpandSamples(merged, nil)
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require.NoError(t, err)
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require.Equal(t, tc.expected, actual)
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for name, tc := range map[string]struct {
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input []chunkenc.Iterator
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expected []chunks.Sample
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}{
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"single iterator": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
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},
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expected: []chunks.Sample{sampleFunc(0), sampleFunc(1)},
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},
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"non overlapping iterators": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
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NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(3)}),
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},
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expected: []chunks.Sample{sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3)},
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},
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"overlapping but distinct iterators": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(3)}),
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NewListSeriesIterator(samples{sampleFunc(1), sampleFunc(4)}),
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NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(5)}),
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},
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expected: []chunks.Sample{
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sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3), sampleFunc(4), sampleFunc(5),
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},
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},
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"overlapping iterators": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(1)}),
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NewListSeriesIterator(samples{sampleFunc(0), sampleFunc(2)}),
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NewListSeriesIterator(samples{sampleFunc(2), sampleFunc(3)}),
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NewListSeriesIterator(samples{}),
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NewListSeriesIterator(samples{}),
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NewListSeriesIterator(samples{}),
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},
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expected: []chunks.Sample{sampleFunc(0), sampleFunc(1), sampleFunc(2), sampleFunc(3)},
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},
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} {
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t.Run(sampleType+"/"+name, func(t *testing.T) {
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merged := ChainSampleIteratorFromIterators(nil, tc.input)
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actual, err := ExpandSamples(merged, nil)
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require.NoError(t, err)
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require.Equal(t, tc.expected, actual)
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})
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}
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}
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}
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func TestChainSampleIteratorHistogramCounterResetHint(t *testing.T) {
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for sampleType, sampleFunc := range map[string]func(int64, histogram.CounterResetHint) chunks.Sample{
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"histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return histogramSample(ts, hint) },
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"float histogram": func(ts int64, hint histogram.CounterResetHint) chunks.Sample { return floatHistogramSample(ts, hint) },
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} {
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for name, tc := range map[string]struct {
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input []chunkenc.Iterator
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expected []chunks.Sample
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}{
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"single iterator": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, uk)}),
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},
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expected: []chunks.Sample{sampleFunc(0, uk), sampleFunc(1, cr), sampleFunc(2, uk)},
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},
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"single iterator gauge": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga)}),
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},
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expected: []chunks.Sample{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga)},
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},
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"overlapping iterators gauge": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga), sampleFunc(4, ga)}),
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NewListSeriesIterator(samples{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(3, ga), sampleFunc(5, ga)}),
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},
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expected: []chunks.Sample{sampleFunc(0, ga), sampleFunc(1, ga), sampleFunc(2, ga), sampleFunc(3, ga), sampleFunc(4, ga), sampleFunc(5, ga)},
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},
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"non overlapping iterators": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, uk)}),
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NewListSeriesIterator(samples{sampleFunc(2, cr), sampleFunc(3, cr)}),
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},
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expected: []chunks.Sample{sampleFunc(0, uk), sampleFunc(1, uk), sampleFunc(2, uk), sampleFunc(3, cr)},
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},
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"overlapping but distinct iterators": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(3, uk), sampleFunc(5, cr)}),
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NewListSeriesIterator(samples{sampleFunc(1, uk), sampleFunc(2, cr), sampleFunc(4, cr)}),
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},
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expected: []chunks.Sample{
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sampleFunc(0, uk), sampleFunc(1, uk), sampleFunc(2, cr), sampleFunc(3, uk), sampleFunc(4, uk), sampleFunc(5, uk),
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},
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},
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"overlapping iterators": {
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, cr)}),
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NewListSeriesIterator(samples{sampleFunc(0, cr), sampleFunc(1, cr), sampleFunc(2, cr)}),
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},
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expected: []chunks.Sample{sampleFunc(0, uk), sampleFunc(1, uk), sampleFunc(2, uk)},
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},
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} {
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t.Run(sampleType+"/"+name, func(t *testing.T) {
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merged := ChainSampleIteratorFromIterators(nil, tc.input)
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actual, err := ExpandSamples(merged, nil)
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require.NoError(t, err)
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require.Equal(t, tc.expected, actual)
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})
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}
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}
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}
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func TestChainSampleIteratorSeek(t *testing.T) {
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for _, tc := range []struct {
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input []chunkenc.Iterator
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seek int64
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expected []chunks.Sample
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}{
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}}),
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},
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seek: 1,
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expected: []chunks.Sample{fSample{1, 1}, fSample{2, 2}},
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},
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}}),
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NewListSeriesIterator(samples{fSample{2, 2}, fSample{3, 3}}),
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},
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seek: 2,
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expected: []chunks.Sample{fSample{2, 2}, fSample{3, 3}},
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},
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{3, 3}}),
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NewListSeriesIterator(samples{fSample{1, 1}, fSample{4, 4}}),
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NewListSeriesIterator(samples{fSample{2, 2}, fSample{5, 5}}),
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},
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seek: 2,
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expected: []chunks.Sample{fSample{2, 2}, fSample{3, 3}, fSample{4, 4}, fSample{5, 5}},
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},
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{
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input: []chunkenc.Iterator{
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{2, 2}, fSample{3, 3}}),
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NewListSeriesIterator(samples{fSample{0, 0}, fSample{1, 1}, fSample{2, 2}}),
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},
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seek: 0,
|
||||
expected: []chunks.Sample{fSample{0, 0}, fSample{1, 1}, 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) },
|
||||
} {
|
||||
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), sampleFunc(1), sampleFunc(2)}),
|
||||
},
|
||||
seek: 1,
|
||||
expected: []chunks.Sample{sampleFunc(1), sampleFunc(2)},
|
||||
},
|
||||
"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)},
|
||||
},
|
||||
"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)},
|
||||
},
|
||||
"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)},
|
||||
},
|
||||
} {
|
||||
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) },
|
||||
} {
|
||||
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)
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -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:
|
||||
|
|
|
|||
|
|
@ -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.
|
||||
|
|
|
|||
Loading…
Reference in a new issue