// Copyright 2017 The Prometheus Authors // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package storage import ( "math/rand" "testing" "github.com/stretchr/testify/require" "github.com/prometheus/prometheus/model/histogram" "github.com/prometheus/prometheus/tsdb/chunkenc" "github.com/prometheus/prometheus/tsdb/tsdbutil" ) func TestSampleRing(t *testing.T) { cases := []struct { input []int64 delta int64 size int }{ { input: []int64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, delta: 2, size: 1, }, { input: []int64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, delta: 2, size: 2, }, { input: []int64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, delta: 7, size: 3, }, { input: []int64{1, 2, 3, 4, 5, 16, 17, 18, 19, 20}, delta: 7, size: 1, }, { input: []int64{1, 2, 3, 4, 6}, delta: 4, size: 4, }, } for _, c := range cases { r := newSampleRing(c.delta, c.size, chunkenc.ValFloat) input := []fSample{} for _, t := range c.input { input = append(input, fSample{ t: t, f: float64(rand.Intn(100)), }) } for i, s := range input { r.add(s) buffered := r.samples() for _, sold := range input[:i] { found := false for _, bs := range buffered { if bs.T() == sold.t && bs.F() == sold.f { found = true break } } if found { require.GreaterOrEqual(t, sold.t, s.t-c.delta, "%d: unexpected sample %d in buffer; buffer %v", i, sold.t, buffered) } else { require.Less(t, sold.t, s.t-c.delta, "%d: expected sample %d to be in buffer but was not; buffer %v", i, sold.t, buffered) } } } } } func TestSampleRingMixed(t *testing.T) { h1 := tsdbutil.GenerateTestHistogram(1) h2 := tsdbutil.GenerateTestHistogram(2) // With ValNone as the preferred type, nothing should be initialized. r := newSampleRing(10, 2, chunkenc.ValNone) require.Zero(t, len(r.fBuf)) require.Zero(t, len(r.hBuf)) require.Zero(t, len(r.fhBuf)) require.Zero(t, len(r.iBuf)) // But then mixed adds should work as expected. r.addF(fSample{t: 1, f: 3.14}) r.addH(hSample{t: 2, h: h1}) it := r.iterator() require.Equal(t, chunkenc.ValFloat, it.Next()) ts, f := it.At() require.Equal(t, int64(1), ts) require.Equal(t, 3.14, f) require.Equal(t, chunkenc.ValHistogram, it.Next()) var h *histogram.Histogram ts, h = it.AtHistogram() require.Equal(t, int64(2), ts) require.Equal(t, h1, h) require.Equal(t, chunkenc.ValNone, it.Next()) r.reset() it = r.iterator() require.Equal(t, chunkenc.ValNone, it.Next()) r.addF(fSample{t: 3, f: 4.2}) r.addH(hSample{t: 4, h: h2}) it = r.iterator() require.Equal(t, chunkenc.ValFloat, it.Next()) ts, f = it.At() require.Equal(t, int64(3), ts) require.Equal(t, 4.2, f) require.Equal(t, chunkenc.ValHistogram, it.Next()) ts, h = it.AtHistogram() require.Equal(t, int64(4), ts) require.Equal(t, h2, h) require.Equal(t, chunkenc.ValNone, it.Next()) } func TestBufferedSeriesIterator(t *testing.T) { var it *BufferedSeriesIterator bufferEq := func(exp []fSample) { var b []fSample bit := it.Buffer() for bit.Next() == chunkenc.ValFloat { t, f := bit.At() b = append(b, fSample{t: t, f: f}) } require.Equal(t, exp, b, "buffer mismatch") } sampleEq := func(ets int64, ev float64) { ts, v := it.At() require.Equal(t, ets, ts, "timestamp mismatch") require.Equal(t, ev, v, "value mismatch") } prevSampleEq := func(ets int64, ev float64, eok bool) { s, ok := it.PeekBack(1) require.Equal(t, eok, ok, "exist mismatch") require.Equal(t, ets, s.T(), "timestamp mismatch") require.Equal(t, ev, s.F(), "value mismatch") } it = NewBufferIterator(NewListSeriesIterator(samples{ fSample{t: 1, f: 2}, fSample{t: 2, f: 3}, fSample{t: 3, f: 4}, fSample{t: 4, f: 5}, fSample{t: 5, f: 6}, fSample{t: 99, f: 8}, fSample{t: 100, f: 9}, fSample{t: 101, f: 10}, }), 2) require.Equal(t, chunkenc.ValFloat, it.Seek(-123), "seek failed") sampleEq(1, 2) prevSampleEq(0, 0, false) bufferEq(nil) require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed") sampleEq(2, 3) prevSampleEq(1, 2, true) bufferEq([]fSample{{t: 1, f: 2}}) require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed") require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed") require.Equal(t, chunkenc.ValFloat, it.Next(), "next failed") sampleEq(5, 6) prevSampleEq(4, 5, true) bufferEq([]fSample{{t: 2, f: 3}, {t: 3, f: 4}, {t: 4, f: 5}}) require.Equal(t, chunkenc.ValFloat, it.Seek(5), "seek failed") sampleEq(5, 6) prevSampleEq(4, 5, true) bufferEq([]fSample{{t: 2, f: 3}, {t: 3, f: 4}, {t: 4, f: 5}}) require.Equal(t, chunkenc.ValFloat, it.Seek(101), "seek failed") sampleEq(101, 10) prevSampleEq(100, 9, true) bufferEq([]fSample{{t: 99, f: 8}, {t: 100, f: 9}}) require.Equal(t, chunkenc.ValNone, it.Next(), "next succeeded unexpectedly") require.Equal(t, chunkenc.ValNone, it.Seek(1024), "seek succeeded unexpectedly") } // At() should not be called once Next() returns false. func TestBufferedSeriesIteratorNoBadAt(t *testing.T) { done := false m := &mockSeriesIterator{ seek: func(int64) chunkenc.ValueType { return chunkenc.ValNone }, at: func() (int64, float64) { require.False(t, done, "unexpectedly done") done = true return 0, 0 }, next: func() chunkenc.ValueType { if done { return chunkenc.ValNone } return chunkenc.ValFloat }, err: func() error { return nil }, } it := NewBufferIterator(m, 60) it.Next() it.Next() } func TestBufferedSeriesIteratorMixedHistograms(t *testing.T) { histograms := tsdbutil.GenerateTestHistograms(2) it := NewBufferIterator(NewListSeriesIterator(samples{ fhSample{t: 1, fh: histograms[0].ToFloat()}, hSample{t: 2, h: histograms[1]}, }), 2) require.Equal(t, chunkenc.ValNone, it.Seek(3)) require.NoError(t, it.Err()) buf := it.Buffer() require.Equal(t, chunkenc.ValFloatHistogram, buf.Next()) _, fh := buf.AtFloatHistogram() require.Equal(t, histograms[0].ToFloat(), fh) require.Equal(t, chunkenc.ValHistogram, buf.Next()) _, fh = buf.AtFloatHistogram() require.Equal(t, histograms[1].ToFloat(), fh) } func BenchmarkBufferedSeriesIterator(b *testing.B) { // Simulate a 5 minute rate. it := NewBufferIterator(newFakeSeriesIterator(int64(b.N), 30), 5*60) b.SetBytes(16) b.ReportAllocs() b.ResetTimer() for it.Next() != chunkenc.ValNone { // Scan everything. } require.NoError(b, it.Err()) } type mockSeriesIterator struct { seek func(int64) chunkenc.ValueType at func() (int64, float64) next func() chunkenc.ValueType err func() error } func (m *mockSeriesIterator) Seek(t int64) chunkenc.ValueType { return m.seek(t) } func (m *mockSeriesIterator) At() (int64, float64) { return m.at() } func (m *mockSeriesIterator) Next() chunkenc.ValueType { return m.next() } func (m *mockSeriesIterator) Err() error { return m.err() } func (m *mockSeriesIterator) AtHistogram() (int64, *histogram.Histogram) { return 0, nil // Not really mocked. } func (m *mockSeriesIterator) AtFloatHistogram() (int64, *histogram.FloatHistogram) { return 0, nil // Not really mocked. } func (m *mockSeriesIterator) AtT() int64 { return 0 // Not really mocked. } type fakeSeriesIterator struct { nsamples int64 step int64 idx int64 } func newFakeSeriesIterator(nsamples, step int64) *fakeSeriesIterator { return &fakeSeriesIterator{nsamples: nsamples, step: step, idx: -1} } 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) AtFloatHistogram() (int64, *histogram.FloatHistogram) { return it.idx * it.step, &histogram.FloatHistogram{} // Value doesn't matter. } func (it *fakeSeriesIterator) AtT() int64 { return it.idx * it.step } func (it *fakeSeriesIterator) Next() chunkenc.ValueType { it.idx++ if it.idx >= it.nsamples { return chunkenc.ValNone } return chunkenc.ValFloat } func (it *fakeSeriesIterator) Seek(t int64) chunkenc.ValueType { it.idx = t / it.step if it.idx >= it.nsamples { return chunkenc.ValNone } return chunkenc.ValFloat } func (it *fakeSeriesIterator) Err() error { return nil }