mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-26 06:04:05 -08:00
Reduce test data allocations
This commit is contained in:
parent
ce82bdb71a
commit
b845f8d3a1
|
@ -41,8 +41,7 @@ func testChunk(c Chunk) error {
|
|||
ts = int64(1234123324)
|
||||
v = 1243535.123
|
||||
)
|
||||
i := 0
|
||||
for {
|
||||
for i := 0; i < 300; i++ {
|
||||
ts += int64(rand.Intn(10000) + 1)
|
||||
// v = rand.Float64()
|
||||
if i%2 == 0 {
|
||||
|
@ -68,7 +67,6 @@ func testChunk(c Chunk) error {
|
|||
return err
|
||||
}
|
||||
exp = append(exp, pair{t: ts, v: v})
|
||||
i++
|
||||
// fmt.Println("appended", len(c.Bytes()), c.Bytes())
|
||||
}
|
||||
|
||||
|
|
|
@ -16,7 +16,7 @@ type XORChunk struct {
|
|||
|
||||
// NewXORChunk returns a new chunk with XOR encoding of the given size.
|
||||
func NewXORChunk(size int) *XORChunk {
|
||||
b := make([]byte, 3, 64)
|
||||
b := make([]byte, 3, 128)
|
||||
b[0] = byte(EncXOR)
|
||||
|
||||
return &XORChunk{
|
||||
|
|
|
@ -9,6 +9,7 @@ import (
|
|||
"path/filepath"
|
||||
"runtime"
|
||||
"runtime/pprof"
|
||||
"sort"
|
||||
"sync"
|
||||
"time"
|
||||
|
||||
|
@ -172,16 +173,33 @@ func (b *writeBenchmark) ingestScrapesShard(metrics []model.Metric, scrapeCount
|
|||
var sc tsdb.Vector
|
||||
ts := int64(model.Now())
|
||||
|
||||
type sample struct {
|
||||
labels tsdb.Labels
|
||||
value int64
|
||||
}
|
||||
|
||||
scrape := make(map[uint64]*sample, len(metrics))
|
||||
|
||||
for _, m := range metrics {
|
||||
lset := make(tsdb.Labels, 0, len(m))
|
||||
for k, v := range m {
|
||||
lset = append(lset, tsdb.Label{Name: string(k), Value: string(v)})
|
||||
}
|
||||
sort.Sort(lset)
|
||||
|
||||
scrape[lset.Hash()] = &sample{
|
||||
labels: lset,
|
||||
value: 123456789,
|
||||
}
|
||||
}
|
||||
|
||||
for i := 0; i < scrapeCount; i++ {
|
||||
ts = ts + int64(i*10000)
|
||||
sc.Reset()
|
||||
|
||||
for _, m := range metrics {
|
||||
lset := make([]tsdb.Label, 0, len(m))
|
||||
for k, v := range m {
|
||||
lset = append(lset, tsdb.Label{Name: string(k), Value: string(v)})
|
||||
}
|
||||
sc.Add(lset, float64(rand.Int63()))
|
||||
for _, s := range scrape {
|
||||
s.value += rand.Int63n(1000)
|
||||
sc.Add(s.labels, float64(s.value))
|
||||
}
|
||||
if err := b.storage.ingestScrape(ts, &sc); err != nil {
|
||||
return err
|
||||
|
|
16
db.go
16
db.go
|
@ -70,7 +70,7 @@ func (db *DB) Close() error {
|
|||
fmt.Println(" num samples", shard.head.samples)
|
||||
}
|
||||
|
||||
return fmt.Errorf("not implemented")
|
||||
return nil
|
||||
}
|
||||
|
||||
// Querier returns a new querier over the database.
|
||||
|
@ -154,7 +154,8 @@ func (ls Labels) Less(i, j int) bool { return ls[i].Name < ls[j].Name }
|
|||
|
||||
// Hash returns a hash value for the label set.
|
||||
func (ls Labels) Hash() uint64 {
|
||||
b := make([]byte, 0, 512)
|
||||
b := make([]byte, 0, 1024)
|
||||
|
||||
for _, v := range ls {
|
||||
b = append(b, v.Name...)
|
||||
b = append(b, sep)
|
||||
|
@ -222,6 +223,7 @@ func LabelsFromMap(m map[string]string) Labels {
|
|||
// Label sets and values must have equal length.
|
||||
type Vector struct {
|
||||
Buckets map[uint16][]Sample
|
||||
reused int
|
||||
}
|
||||
|
||||
type Sample struct {
|
||||
|
@ -232,7 +234,15 @@ type Sample struct {
|
|||
|
||||
// Reset the vector but keep resources allocated.
|
||||
func (v *Vector) Reset() {
|
||||
v.Buckets = make(map[uint16][]Sample, len(v.Buckets))
|
||||
// Do a full reset every n-th reusage to avoid memory leaks.
|
||||
if v.Buckets == nil || v.reused > 100 {
|
||||
v.Buckets = make(map[uint16][]Sample, 0)
|
||||
return
|
||||
}
|
||||
for x, bkt := range v.Buckets {
|
||||
v.Buckets[x] = bkt[:0]
|
||||
}
|
||||
v.reused++
|
||||
}
|
||||
|
||||
// Add a sample to the vector.
|
||||
|
|
Loading…
Reference in a new issue