Support storing the zero threshold in the histogram chunk (#9165)

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>
This commit is contained in:
Ganesh Vernekar 2021-08-06 18:08:41 +05:30 committed by GitHub
parent 7026e6b4e4
commit 19e98e5469
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GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 68 additions and 35 deletions

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@ -97,7 +97,7 @@ func (c *HistoChunk) NumSamples() int {
// Meta returns the histogram metadata.
// callers may only call this on chunks that have at least one sample
func (c *HistoChunk) Meta() (int32, []histogram.Span, []histogram.Span, error) {
func (c *HistoChunk) Meta() (int32, float64, []histogram.Span, []histogram.Span, error) {
if c.NumSamples() == 0 {
panic("HistoChunk.Meta() called on an empty chunk")
}
@ -131,6 +131,7 @@ func (c *HistoChunk) Appender() (Appender, error) {
b: &c.b,
schema: it.schema,
zeroThreshold: it.zeroThreshold,
posSpans: it.posSpans,
negSpans: it.negSpans,
t: it.t,
@ -199,6 +200,7 @@ type HistoAppender struct {
// Metadata:
schema int32
zeroThreshold float64
posSpans, negSpans []histogram.Span
// For the fields that are tracked as dod's. Note that we expect to
@ -245,8 +247,7 @@ func (a *HistoAppender) Append(int64, float64) {}
// * the zerobucket threshold has changed
// * any buckets disappeared
func (a *HistoAppender) Appendable(h histogram.SparseHistogram) ([]Interjection, []Interjection, bool) {
// TODO zerothreshold
if h.Schema != a.schema {
if h.Schema != a.schema || h.ZeroThreshold != a.zeroThreshold {
return nil, nil, false
}
posInterjections, ok := compareSpans(a.posSpans, h.PositiveSpans)
@ -273,8 +274,9 @@ func (a *HistoAppender) AppendHistogram(t int64, h histogram.SparseHistogram) {
// the first append gets the privilege to dictate the metadata
// but it's also responsible for encoding it into the chunk!
writeHistoChunkMeta(a.b, h.Schema, h.PositiveSpans, h.NegativeSpans)
writeHistoChunkMeta(a.b, h.Schema, h.ZeroThreshold, h.PositiveSpans, h.NegativeSpans)
a.schema = h.Schema
a.zeroThreshold = h.ZeroThreshold
a.posSpans, a.negSpans = h.PositiveSpans, h.NegativeSpans
numPosBuckets, numNegBuckets := countSpans(h.PositiveSpans), countSpans(h.NegativeSpans)
a.posbuckets = make([]int64, numPosBuckets)
@ -442,6 +444,7 @@ type histoIterator struct {
// Metadata:
schema int32
zeroThreshold float64
posSpans, negSpans []histogram.Span
// For the fields that are tracked as dod's.
@ -486,7 +489,7 @@ func (it *histoIterator) AtHistogram() (int64, histogram.SparseHistogram) {
Count: it.cnt,
ZeroCount: it.zcnt,
Sum: it.sum,
ZeroThreshold: 0, // TODO
ZeroThreshold: it.zeroThreshold,
Schema: it.schema,
PositiveSpans: it.posSpans,
NegativeSpans: it.negSpans,
@ -532,12 +535,13 @@ func (it *histoIterator) Next() bool {
if it.numRead == 0 {
// first read is responsible for reading chunk metadata and initializing fields that depend on it
schema, posSpans, negSpans, err := readHistoChunkMeta(&it.br)
schema, zeroThreshold, posSpans, negSpans, err := readHistoChunkMeta(&it.br)
if err != nil {
it.err = err
return false
}
it.schema = schema
it.zeroThreshold = zeroThreshold
it.posSpans, it.negSpans = posSpans, negSpans
numPosBuckets, numNegBuckets := countSpans(posSpans), countSpans(negSpans)
it.posbuckets = make([]int64, numPosBuckets)

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@ -13,10 +13,13 @@
package chunkenc
import "github.com/prometheus/prometheus/pkg/histogram"
import (
"github.com/prometheus/prometheus/pkg/histogram"
)
func writeHistoChunkMeta(b *bstream, schema int32, posSpans, negSpans []histogram.Span) {
func writeHistoChunkMeta(b *bstream, schema int32, zeroThreshold float64, posSpans, negSpans []histogram.Span) {
putInt64VBBucket(b, int64(schema))
putFloat64VBBucket(b, zeroThreshold)
putHistoChunkMetaSpans(b, posSpans)
putHistoChunkMetaSpans(b, negSpans)
}
@ -29,25 +32,29 @@ func putHistoChunkMetaSpans(b *bstream, spans []histogram.Span) {
}
}
func readHistoChunkMeta(b *bstreamReader) (int32, []histogram.Span, []histogram.Span, error) {
func readHistoChunkMeta(b *bstreamReader) (int32, float64, []histogram.Span, []histogram.Span, error) {
v, err := readInt64VBBucket(b)
if err != nil {
return 0, nil, nil, err
return 0, 0, nil, nil, err
}
schema := int32(v)
zeroThreshold, err := readFloat64VBBucket(b)
if err != nil {
return 0, 0, nil, nil, err
}
posSpans, err := readHistoChunkMetaSpans(b)
if err != nil {
return 0, nil, nil, err
return 0, 0, nil, nil, err
}
negSpans, err := readHistoChunkMetaSpans(b)
if err != nil {
return 0, nil, nil, err
return 0, 0, nil, nil, err
}
return schema, posSpans, negSpans, nil
return schema, zeroThreshold, posSpans, negSpans, nil
}
func readHistoChunkMetaSpans(b *bstreamReader) ([]histogram.Span, error) {

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@ -31,11 +31,11 @@ func TestHistoChunkSameBuckets(t *testing.T) {
ts := int64(1234567890)
h := histogram.SparseHistogram{
Count: 5,
ZeroCount: 2,
Sum: 18.4,
//ZeroThreshold: 1, TODO
Schema: 1,
Count: 5,
ZeroCount: 2,
Sum: 18.4,
ZeroThreshold: 1e-100,
Schema: 1,
PositiveSpans: []histogram.Span{
{Offset: 0, Length: 2},
{Offset: 1, Length: 2},
@ -129,11 +129,11 @@ func TestHistoChunkBucketChanges(t *testing.T) {
ts1 := int64(1234567890)
h1 := histogram.SparseHistogram{
Count: 5,
ZeroCount: 2,
Sum: 18.4,
//ZeroThreshold: 1, TODO
Schema: 1,
Count: 5,
ZeroCount: 2,
Sum: 18.4,
ZeroThreshold: 1e-125,
Schema: 1,
PositiveSpans: []histogram.Span{
{Offset: 0, Length: 2},
{Offset: 2, Length: 1},

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@ -43,6 +43,28 @@
package chunkenc
import (
"math"
)
// putFloat64VBBucket writes a float64 using varbit optimized for SHS buckets.
// It does so by converting the underlying bits into an int64.
func putFloat64VBBucket(b *bstream, val float64) {
// TODO: Since this is used for the zero threshold, this almost always goes into the default
// bit range (i.e. using 5+64 bits). So we can consider skipping `putInt64VBBucket` and directly
// write the float and save 5 bits here.
putInt64VBBucket(b, int64(math.Float64bits(val)))
}
// readFloat64VBBucket reads a float64 using varbit optimized for SHS buckets
func readFloat64VBBucket(b *bstreamReader) (float64, error) {
val, err := readInt64VBBucket(b)
if err != nil {
return 0, err
}
return math.Float64frombits(uint64(val)), nil
}
// putInt64VBBucket writes an int64 using varbit optimized for SHS buckets.
//
// TODO(Dieterbe): We could improve this further: Each branch doesn't need to
@ -55,19 +77,19 @@ func putInt64VBBucket(b *bstream, val int64) {
case val == 0:
b.writeBit(zero)
case bitRange(val, 3): // -3 <= val <= 4
b.writeBits(0x02, 2) // '10'
b.writeBits(0b10, 2)
b.writeBits(uint64(val), 3)
case bitRange(val, 6): // -31 <= val <= 32
b.writeBits(0x06, 3) // '110'
b.writeBits(0b110, 3)
b.writeBits(uint64(val), 6)
case bitRange(val, 9): // -255 <= val <= 256
b.writeBits(0x0e, 4) // '1110'
b.writeBits(0b1110, 4)
b.writeBits(uint64(val), 9)
case bitRange(val, 12): // -2047 <= val <= 2048
b.writeBits(0x1e, 5) // '11110'
b.writeBits(0b11110, 5)
b.writeBits(uint64(val), 12)
default:
b.writeBits(0x3e, 5) // '11111'
b.writeBits(0b11111, 5)
b.writeBits(uint64(val), 64)
}
}
@ -94,17 +116,17 @@ func readInt64VBBucket(b *bstreamReader) (int64, error) {
var sz uint8
switch d {
case 0x00:
case 0b0:
// val == 0
case 0x02: // '10'
case 0b10:
sz = 3
case 0x06: // '110'
case 0b110:
sz = 6
case 0x0e: // '1110'
case 0b1110:
sz = 9
case 0x1e: // '11110'
case 0b11110:
sz = 12
case 0x3e: // '11111'
case 0b11111:
// Do not use fast because it's very unlikely it will succeed.
bits, err := b.readBits(64)
if err != nil {