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storage: Split chunks if more than 120 samples (#8582)
* storage: Split chunks if more than 120 samples Signed-off-by: Matthias Loibl <mail@matthiasloibl.com> * storage: Don't set maxt which is overwritten right away Signed-off-by: Matthias Loibl <mail@matthiasloibl.com> * storage: Improve comments on merge_test Signed-off-by: Matthias Loibl <mail@matthiasloibl.com> * storage: Improve comments and move code closer to usage Signed-off-by: Matthias Loibl <mail@matthiasloibl.com> * tsdb/tsdbutil: Add comment for GenerateSamples Signed-off-by: Matthias Loibl <mail@matthiasloibl.com>
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@ -465,6 +465,27 @@ func TestCompactingChunkSeriesMerger(t *testing.T) {
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[]tsdbutil.Sample{sample{31, 31}, sample{35, 35}},
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),
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},
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{
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name: "110 overlapping",
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), tsdbutil.GenerateSamples(0, 110)), // [0 - 110)
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), tsdbutil.GenerateSamples(60, 50)), // [60 - 110)
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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tsdbutil.GenerateSamples(0, 110),
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),
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},
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{
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name: "150 overlapping samples, split chunk",
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input: []ChunkSeries{
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), tsdbutil.GenerateSamples(0, 90)), // [0 - 90)
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NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"), tsdbutil.GenerateSamples(60, 90)), // [90 - 150)
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},
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expected: NewListChunkSeriesFromSamples(labels.FromStrings("bar", "baz"),
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tsdbutil.GenerateSamples(0, 120),
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tsdbutil.GenerateSamples(120, 30),
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),
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},
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} {
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t.Run(tc.name, func(t *testing.T) {
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merged := m(tc.input...)
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@ -217,7 +217,8 @@ type seriesToChunkEncoder struct {
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Series
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}
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// TODO(bwplotka): Currently encoder will just naively build one chunk, without limit. Split it: https://github.com/prometheus/tsdb/issues/670
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const seriesToChunkEncoderSplit = 120
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func (s *seriesToChunkEncoder) Iterator() chunks.Iterator {
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chk := chunkenc.NewXORChunk()
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app, err := chk.Appender()
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@ -227,8 +228,28 @@ func (s *seriesToChunkEncoder) Iterator() chunks.Iterator {
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mint := int64(math.MaxInt64)
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maxt := int64(math.MinInt64)
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chks := []chunks.Meta{}
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i := 0
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seriesIter := s.Series.Iterator()
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for seriesIter.Next() {
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// Create a new chunk if too many samples in the current one.
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if i >= seriesToChunkEncoderSplit {
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chks = append(chks, chunks.Meta{
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MinTime: mint,
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MaxTime: maxt,
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Chunk: chk,
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})
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chk = chunkenc.NewXORChunk()
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app, err = chk.Appender()
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if err != nil {
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return errChunksIterator{err: err}
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}
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mint = int64(math.MaxInt64)
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// maxt is immediately overwritten below which is why setting it here won't make a difference.
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i = 0
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}
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t, v := seriesIter.At()
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app.Append(t, v)
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@ -236,16 +257,19 @@ func (s *seriesToChunkEncoder) Iterator() chunks.Iterator {
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if mint == math.MaxInt64 {
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mint = t
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}
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i++
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}
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if err := seriesIter.Err(); err != nil {
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return errChunksIterator{err: err}
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}
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return NewListChunkSeriesIterator(chunks.Meta{
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chks = append(chks, chunks.Meta{
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MinTime: mint,
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MaxTime: maxt,
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Chunk: chk,
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})
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return NewListChunkSeriesIterator(chks...)
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}
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type errChunksIterator struct {
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@ -65,3 +65,15 @@ func PopulatedChunk(numSamples int, minTime int64) chunks.Meta {
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}
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return ChunkFromSamples(samples)
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}
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// GenerateSamples starting at start and counting up numSamples.
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func GenerateSamples(start int, numSamples int) []Sample {
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samples := make([]Sample, 0, numSamples)
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for i := start; i < start+numSamples; i++ {
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samples = append(samples, sample{
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t: int64(i),
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v: float64(i),
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})
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}
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return samples
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}
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