prometheus/storage/buffer_test.go
Filip Petkovski 10a82f87fd
Enable reusing memory when converting between histogram types
The 'ToFloat' method on integer histograms currently allocates new memory
each time it is called.

This commit adds an optional *FloatHistogram parameter that can be used
to reuse span and bucket slices. It is up to the caller to make sure the
input float histogram is not used anymore after the call.

Signed-off-by: Filip Petkovski <filip.petkovsky@gmail.com>
2023-12-08 10:22:59 +01:00

335 lines
8.6 KiB
Go

// 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(nil)},
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(nil), fh)
require.Equal(t, chunkenc.ValHistogram, buf.Next())
_, fh = buf.AtFloatHistogram()
require.Equal(t, histograms[1].ToFloat(nil), 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 }