Handle native histograms in remote read

Signed-off-by: Justin Lei <justin.lei@grafana.com>
This commit is contained in:
Justin Lei 2023-03-07 12:21:55 -08:00
parent ff993b279a
commit c16b6a0185
6 changed files with 201 additions and 102 deletions

View file

@ -134,21 +134,24 @@ func (LabelMatcher_Type) EnumDescriptor() ([]byte, []int) {
type Chunk_Encoding int32
const (
Chunk_UNKNOWN Chunk_Encoding = 0
Chunk_XOR Chunk_Encoding = 1
Chunk_HISTOGRAM Chunk_Encoding = 2
Chunk_UNKNOWN Chunk_Encoding = 0
Chunk_XOR Chunk_Encoding = 1
Chunk_HISTOGRAM Chunk_Encoding = 2
Chunk_FLOAT_HISTOGRAM Chunk_Encoding = 3
)
var Chunk_Encoding_name = map[int32]string{
0: "UNKNOWN",
1: "XOR",
2: "HISTOGRAM",
3: "FLOAT_HISTOGRAM",
}
var Chunk_Encoding_value = map[string]int32{
"UNKNOWN": 0,
"XOR": 1,
"HISTOGRAM": 2,
"UNKNOWN": 0,
"XOR": 1,
"HISTOGRAM": 2,
"FLOAT_HISTOGRAM": 3,
}
func (x Chunk_Encoding) String() string {
@ -1143,75 +1146,76 @@ func init() {
func init() { proto.RegisterFile("types.proto", fileDescriptor_d938547f84707355) }
var fileDescriptor_d938547f84707355 = []byte{
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0x13, 0x09, 0x00, 0x00,
}
func (m *MetricMetadata) Marshal() (dAtA []byte, err error) {

View file

@ -169,9 +169,10 @@ message Chunk {
// We require this to match chunkenc.Encoding.
enum Encoding {
UNKNOWN = 0;
XOR = 1;
HISTOGRAM = 2;
UNKNOWN = 0;
XOR = 1;
HISTOGRAM = 2;
FLOAT_HISTOGRAM = 3;
}
Encoding type = 3;
bytes data = 4;

View file

@ -33,6 +33,7 @@ import (
"github.com/prometheus/prometheus/promql/parser"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb"
"github.com/prometheus/prometheus/tsdb/tsdbutil"
"github.com/prometheus/prometheus/util/teststorage"
"github.com/prometheus/prometheus/util/testutil"
)
@ -302,14 +303,26 @@ func (cmd loadCmd) String() string {
func (cmd *loadCmd) set(m labels.Labels, vals ...parser.SequenceValue) {
h := m.Hash()
metricName := m.Get("__name__")
isHistogram := strings.Contains(metricName, "_histogram_")
samples := make([]Point, 0, len(vals))
ts := testStartTime
for _, v := range vals {
if !v.Omitted {
samples = append(samples, Point{
T: ts.UnixNano() / int64(time.Millisecond/time.Nanosecond),
V: v.Value,
})
t := ts.UnixNano() / int64(time.Millisecond/time.Nanosecond)
if isHistogram {
samples = append(samples, Point{
T: t,
H: tsdbutil.GenerateTestFloatHistogram(int(v.Value)),
})
} else {
samples = append(samples, Point{
T: t,
V: v.Value,
})
}
}
ts = ts.Add(cmd.gap)
}
@ -323,8 +336,14 @@ func (cmd *loadCmd) append(a storage.Appender) error {
m := cmd.metrics[h]
for _, s := range smpls {
if _, err := a.Append(0, m, s.T, s.V); err != nil {
return err
if s.H == nil {
if _, err := a.Append(0, m, s.T, s.V); err != nil {
return err
}
} else {
if _, err := a.AppendHistogram(0, m, s.T, nil, s.H); err != nil {
return err
}
}
}
}

View file

@ -120,10 +120,13 @@ func ToQueryResult(ss storage.SeriesSet, sampleLimit int) (*prompb.QueryResult,
for ss.Next() {
series := ss.At()
iter = series.Iterator(iter)
samples := []prompb.Sample{}
for iter.Next() == chunkenc.ValFloat {
// TODO(beorn7): Add Histogram support.
var (
samples []prompb.Sample
histograms []prompb.Histogram
)
for valType := iter.Next(); valType != chunkenc.ValNone; valType = iter.Next() {
numSamples++
if sampleLimit > 0 && numSamples > sampleLimit {
return nil, ss.Warnings(), HTTPError{
@ -131,19 +134,32 @@ func ToQueryResult(ss storage.SeriesSet, sampleLimit int) (*prompb.QueryResult,
status: http.StatusBadRequest,
}
}
ts, val := iter.At()
samples = append(samples, prompb.Sample{
Timestamp: ts,
Value: val,
})
switch valType {
case chunkenc.ValFloat:
ts, val := iter.At()
samples = append(samples, prompb.Sample{
Timestamp: ts,
Value: val,
})
case chunkenc.ValHistogram:
ts, h := iter.AtHistogram()
histograms = append(histograms, HistogramToHistogramProto(ts, h))
case chunkenc.ValFloatHistogram:
ts, fh := iter.AtFloatHistogram()
histograms = append(histograms, FloatHistogramToHistogramProto(ts, fh))
default:
return nil, ss.Warnings(), fmt.Errorf("unrecognized value type: %s", valType)
}
}
if err := iter.Err(); err != nil {
return nil, ss.Warnings(), err
}
resp.Timeseries = append(resp.Timeseries, &prompb.TimeSeries{
Labels: labelsToLabelsProto(series.Labels(), nil),
Samples: samples,
Labels: labelsToLabelsProto(series.Labels(), nil),
Samples: samples,
Histograms: histograms,
})
}
return resp, ss.Warnings(), ss.Err()

File diff suppressed because one or more lines are too long

View file

@ -171,12 +171,12 @@ func TestSeriesSetFilter(t *testing.T) {
toRemove: []string{"foo"},
in: &prompb.QueryResult{
Timeseries: []*prompb.TimeSeries{
{Labels: labelsToLabelsProto(labels.FromStrings("foo", "bar", "a", "b"), nil), Samples: []prompb.Sample{}},
{Labels: labelsToLabelsProto(labels.FromStrings("foo", "bar", "a", "b"), nil)},
},
},
expected: &prompb.QueryResult{
Timeseries: []*prompb.TimeSeries{
{Labels: labelsToLabelsProto(labels.FromStrings("a", "b"), nil), Samples: []prompb.Sample{}},
{Labels: labelsToLabelsProto(labels.FromStrings("a", "b"), nil)},
},
},
},