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fuse_test.go
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package v1
import (
"bytes"
"context"
"fmt"
"sync"
"testing"
"github.com/go-kit/log"
"github.com/grafana/dskit/concurrency"
"github.com/prometheus/common/model"
"github.com/stretchr/testify/require"
"github.com/grafana/loki/v3/pkg/chunkenc"
"github.com/grafana/loki/v3/pkg/storage/bloom/v1/filter"
)
// TODO(owen-d): this is unhinged from the data it represents. I'm leaving this solely so I don't
// have to refactor tests here in order to fix this elsewhere, but it can/should be fixed --
// the skip & n len are hardcoded based on data that's passed to it elsewhere.
type fakeNgramBuilder struct{}
func (f fakeNgramBuilder) N() int { return 4 }
func (f fakeNgramBuilder) SkipFactor() int { return 0 }
func (f fakeNgramBuilder) Tokens(line string) Iterator[[]byte] {
return NewSliceIter[[]byte]([][]byte{[]byte(line)})
}
func keysToBloomTest(keys [][]byte) BloomTest {
var tokenizer fakeNgramBuilder
tests := make(BloomTests, 0, len(keys))
for _, key := range keys {
tests = append(tests, newStringTest(tokenizer, string(key)))
}
return tests
}
func TestFusedQuerier(t *testing.T) {
// references for linking in memory reader+writer
indexBuf := bytes.NewBuffer(nil)
bloomsBuf := bytes.NewBuffer(nil)
writer := NewMemoryBlockWriter(indexBuf, bloomsBuf)
reader := NewByteReader(indexBuf, bloomsBuf)
numSeries := 1000
data, keys := MkBasicSeriesWithBlooms(numSeries, 0, 0x0000, 0xffff, 0, 10000)
// Make the first and third series blooms too big to fit into a single page so we skip them while reading
for i := 0; i < 10000; i++ {
tokenizer := NewNGramTokenizer(4, 0)
line := fmt.Sprintf("%04x:%04x", i, i+1)
it := tokenizer.Tokens(line)
for it.Next() {
key := it.At()
data[0].Bloom.Add(key)
data[2].Bloom.Add(key)
}
}
builder, err := NewBlockBuilder(
BlockOptions{
Schema: Schema{
version: DefaultSchemaVersion,
encoding: chunkenc.EncSnappy,
},
SeriesPageSize: 100,
BloomPageSize: 10 << 10,
},
writer,
)
require.Nil(t, err)
itr := NewSliceIter[SeriesWithBloom](data)
_, err = builder.BuildFrom(itr)
require.NoError(t, err)
require.False(t, itr.Next())
block := NewBlock(reader, NewMetrics(nil))
querier := NewBlockQuerier(block, true, DefaultMaxPageSize)
n := 2
nReqs := numSeries / n
var inputs [][]Request
var resChans []chan Output
for i := 0; i < nReqs; i++ {
ch := make(chan Output)
var reqs []Request
// find n series for each
for j := 0; j < n; j++ {
idx := numSeries/nReqs*i + j
reqs = append(reqs, Request{
Fp: data[idx].Series.Fingerprint,
Chks: data[idx].Series.Chunks,
Response: ch,
Search: keysToBloomTest(keys[idx]),
})
}
inputs = append(inputs, reqs)
resChans = append(resChans, ch)
}
var itrs []PeekingIterator[Request]
for _, reqs := range inputs {
itrs = append(itrs, NewPeekingIter[Request](NewSliceIter[Request](reqs)))
}
resps := make([][]Output, nReqs)
var g sync.WaitGroup
g.Add(1)
go func() {
require.Nil(t, concurrency.ForEachJob(
context.Background(),
len(resChans),
len(resChans),
func(_ context.Context, i int) error {
for v := range resChans[i] {
resps[i] = append(resps[i], v)
}
return nil
},
))
g.Done()
}()
fused := querier.Fuse(itrs, log.NewNopLogger())
require.Nil(t, fused.Run())
for _, input := range inputs {
close(input[0].Response)
}
g.Wait()
for i, input := range inputs {
for j, req := range input {
resp := resps[i][j]
require.Equal(
t,
Output{
Fp: req.Fp,
Removals: nil,
},
resp,
)
}
}
}
func TestLazyBloomIter_Seek_ResetError(t *testing.T) {
// references for linking in memory reader+writer
indexBuf := bytes.NewBuffer(nil)
bloomsBuf := bytes.NewBuffer(nil)
writer := NewMemoryBlockWriter(indexBuf, bloomsBuf)
reader := NewByteReader(indexBuf, bloomsBuf)
numSeries := 4
data := make([]SeriesWithBloom, 0, numSeries)
tokenizer := NewNGramTokenizer(4, 0)
for i := 0; i < numSeries; i++ {
var series Series
series.Fingerprint = model.Fingerprint(i)
series.Chunks = []ChunkRef{
{
From: 0,
Through: 100,
Checksum: uint32(i),
},
}
var bloom Bloom
bloom.ScalableBloomFilter = *filter.NewScalableBloomFilter(1024, 0.01, 0.8)
nLines := 10
if i == 0 || i == 2 {
// Add enough lines to make the bloom page too large for series 1
nLines = 10000
}
for j := 0; j < nLines; j++ {
line := fmt.Sprintf("%04x:%04x", i, j)
it := tokenizer.Tokens(line)
for it.Next() {
key := it.At()
bloom.Add(key)
}
}
data = append(data, SeriesWithBloom{
Series: &series,
Bloom: &bloom,
})
}
builder, err := NewBlockBuilder(
BlockOptions{
Schema: Schema{
version: DefaultSchemaVersion,
encoding: chunkenc.EncSnappy,
},
SeriesPageSize: 100,
BloomPageSize: 10, // So we force one series per page
},
writer,
)
require.Nil(t, err)
itr := NewSliceIter[SeriesWithBloom](data)
_, err = builder.BuildFrom(itr)
require.NoError(t, err)
require.False(t, itr.Next())
block := NewBlock(reader, NewMetrics(nil))
querier := NewBlockQuerier(block, true, 1000)
for fp := model.Fingerprint(0); fp < model.Fingerprint(numSeries); fp++ {
err := querier.Seek(fp)
require.NoError(t, err)
require.True(t, querier.series.Next())
series := querier.series.At()
require.Equal(t, fp, series.Fingerprint)
querier.blooms.Seek(series.Offset)
if fp == 0 || fp == 2 {
require.False(t, querier.blooms.Next())
require.Error(t, querier.blooms.Err())
continue
}
require.True(t, querier.blooms.Next())
require.NoError(t, querier.blooms.Err())
}
}
func setupBlockForBenchmark(b *testing.B) (*BlockQuerier, [][]Request, []chan Output) {
indexBuf := bytes.NewBuffer(nil)
bloomsBuf := bytes.NewBuffer(nil)
writer := NewMemoryBlockWriter(indexBuf, bloomsBuf)
reader := NewByteReader(indexBuf, bloomsBuf)
numSeries := 10000
numKeysPerSeries := 100
data, _ := MkBasicSeriesWithBlooms(numSeries, numKeysPerSeries, 0, 0xffffff, 0, 10000)
builder, err := NewBlockBuilder(
BlockOptions{
Schema: Schema{
version: DefaultSchemaVersion,
encoding: chunkenc.EncSnappy,
},
SeriesPageSize: 256 << 10, // 256k
BloomPageSize: 1 << 20, // 1MB
},
writer,
)
require.Nil(b, err)
itr := NewSliceIter[SeriesWithBloom](data)
_, err = builder.BuildFrom(itr)
require.Nil(b, err)
block := NewBlock(reader, NewMetrics(nil))
querier := NewBlockQuerier(block, true, DefaultMaxPageSize)
numRequestChains := 100
seriesPerRequest := 100
var requestChains [][]Request
var responseChans []chan Output
for i := 0; i < numRequestChains; i++ {
var reqs []Request
// ensure they use the same channel
ch := make(chan Output)
// evenly spread out the series queried within a single request chain
// to mimic series distribution across keyspace
for j := 0; j < seriesPerRequest; j++ {
// add the chain index (i) for a little jitter
idx := numSeries*j/seriesPerRequest + i
if idx >= numSeries {
idx = numSeries - 1
}
reqs = append(reqs, Request{
Fp: data[idx].Series.Fingerprint,
Chks: data[idx].Series.Chunks,
Response: ch,
})
}
requestChains = append(requestChains, reqs)
responseChans = append(responseChans, ch)
}
return querier, requestChains, responseChans
}
func BenchmarkBlockQuerying(b *testing.B) {
b.StopTimer()
querier, requestChains, responseChans := setupBlockForBenchmark(b)
// benchmark
b.StartTimer()
b.Run("single-pass", func(b *testing.B) {
for i := 0; i < b.N; i++ {
for _, chain := range requestChains {
for _, req := range chain {
_, _ = querier.CheckChunksForSeries(req.Fp, req.Chks, nil)
}
}
}
})
b.Run("fused", func(b *testing.B) {
// spin up some goroutines to consume the responses so they don't block
go func() {
require.Nil(b, concurrency.ForEachJob(
context.Background(),
len(responseChans), len(responseChans),
func(_ context.Context, idx int) error {
// nolint:revive
for range responseChans[idx] {
}
return nil
},
))
}()
var itrs []PeekingIterator[Request]
for i := 0; i < b.N; i++ {
itrs = itrs[:0]
for _, reqs := range requestChains {
itrs = append(itrs, NewPeekingIter[Request](NewSliceIter[Request](reqs)))
}
fused := querier.Fuse(itrs, log.NewNopLogger())
_ = fused.Run()
}
})
}