Replicate infinite loop in native-classic histogram scrape

Enable scraping a native histogram with exemplars that leads to
infinite loop.

Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
This commit is contained in:
György Krajcsovits 2023-08-21 13:12:45 +02:00
parent 214d6434c9
commit 2a781ec5ac

View file

@ -1982,13 +1982,14 @@ func TestScrapeLoopAppendNoStalenessIfTimestamp(t *testing.T) {
func TestScrapeLoopAppendExemplar(t *testing.T) {
tests := []struct {
title string
scrapeText string
contentType string
discoveryLabels []string
floats []floatSample
histograms []histogramSample
exemplars []exemplar.Exemplar
title string
scrapeClassicHistograms bool
scrapeText string
contentType string
discoveryLabels []string
floats []floatSample
histograms []histogramSample
exemplars []exemplar.Exemplar
}{
{
title: "Metric without exemplars",
@ -2142,6 +2143,105 @@ metric: <
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, Ts: 1234568, HasTs: false},
},
},
{
title: "Native histogram with two exemplars scraped as classic histogram",
scrapeText: `name: "test_histogram"
help: "Test histogram with many buckets removed to keep it manageable in size."
type: HISTOGRAM
metric: <
histogram: <
sample_count: 175
sample_sum: 0.0008280461746287094
bucket: <
cumulative_count: 2
upper_bound: -0.0004899999999999998
>
bucket: <
cumulative_count: 4
upper_bound: -0.0003899999999999998
exemplar: <
label: <
name: "dummyID"
value: "59727"
>
value: -0.00039
timestamp: <
seconds: 1625851155
nanos: 146848499
>
>
>
bucket: <
cumulative_count: 16
upper_bound: -0.0002899999999999998
exemplar: <
label: <
name: "dummyID"
value: "5617"
>
value: -0.00029
>
>
schema: 3
zero_threshold: 2.938735877055719e-39
zero_count: 2
negative_span: <
offset: -162
length: 1
>
negative_span: <
offset: 23
length: 4
>
negative_delta: 1
negative_delta: 3
negative_delta: -2
negative_delta: -1
negative_delta: 1
positive_span: <
offset: -161
length: 1
>
positive_span: <
offset: 8
length: 3
>
positive_delta: 1
positive_delta: 2
positive_delta: -1
positive_delta: -1
>
timestamp_ms: 1234568
>
`,
scrapeClassicHistograms: true,
contentType: "application/vnd.google.protobuf",
histograms: []histogramSample{{
t: 1234568,
h: &histogram.Histogram{
Count: 175,
ZeroCount: 2,
Sum: 0.0008280461746287094,
ZeroThreshold: 2.938735877055719e-39,
Schema: 3,
PositiveSpans: []histogram.Span{
{Offset: -161, Length: 1},
{Offset: 8, Length: 3},
},
NegativeSpans: []histogram.Span{
{Offset: -162, Length: 1},
{Offset: 23, Length: 4},
},
PositiveBuckets: []int64{1, 2, -1, -1},
NegativeBuckets: []int64{1, 3, -2, -1, 1},
},
}},
exemplars: []exemplar.Exemplar{
{Labels: labels.FromStrings("dummyID", "59727"), Value: -0.00039, Ts: 1625851155146, HasTs: true},
{Labels: labels.FromStrings("dummyID", "5617"), Value: -0.00029, Ts: 1234568, HasTs: false},
},
},
}
for _, test := range tests {
@ -2168,7 +2268,7 @@ metric: <
nil,
0,
0,
false,
test.scrapeClassicHistograms,
false,
false,
nil,