mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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6a4bd5049b
### Describe Your Changes In most cases histograms are exposed in sorted manner with lower buckets being first. This means that during scraping buckets with lower bounds have higher chance of being updated earlier than upper ones. Previously, values were propagated from upper to lower bounds, which means that in most cases that would produce results higher than expected once all buckets will become updated. Propagating from upper bound effectively limits highest value of histogram to the value of previous scrape. Once the data will become consistent in the subsequent evaluation this causes spikes in the result. Changing propagation to be from lower to higher buckets reduces value spikes in most cases due to nature of the original inconsistency. See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4580 An example histogram with previous(red) and updated(blue) versions: ![1719565540](https://github.com/VictoriaMetrics/VictoriaMetrics/assets/1367798/605c5e60-6abe-45b5-89b2-d470b60127b8) This also makes logic of filling nan values with lower buckets values: [1 2 3 nan nan nan] => [1 2 3 3 3 3] obsolete. Since buckets are now fixed from lower ones to upper this happens in the main loop, so there is no need in a second one. --------- Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com> Signed-off-by: hagen1778 <roman@victoriametrics.com> Co-authored-by: Andrii Chubatiuk <andrew.chubatiuk@gmail.com> Co-authored-by: hagen1778 <roman@victoriametrics.com>
360 lines
7.9 KiB
Go
360 lines
7.9 KiB
Go
package promql
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import (
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"fmt"
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"reflect"
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"strconv"
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"strings"
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"testing"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/prometheus"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
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)
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func TestFixBrokenBuckets(t *testing.T) {
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f := func(values, expectedResult []float64) {
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t.Helper()
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xss := make([]leTimeseries, len(values))
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for i, v := range values {
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xss[i].ts = ×eries{
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Values: []float64{v},
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}
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}
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fixBrokenBuckets(0, xss)
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result := make([]float64, len(values))
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for i, xs := range xss {
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result[i] = xs.ts.Values[0]
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}
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if !reflect.DeepEqual(result, expectedResult) {
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t.Fatalf("unexpected result for values=%v\ngot\n%v\nwant\n%v", values, result, expectedResult)
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}
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}
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f(nil, []float64{})
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f([]float64{1}, []float64{1})
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f([]float64{1, 2}, []float64{1, 2})
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f([]float64{2, 1}, []float64{2, 2})
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f([]float64{1, 2, 3, nan, nan}, []float64{1, 2, 3, 3, 3})
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f([]float64{5, 1, 2, 3, nan}, []float64{5, 5, 5, 5, 5})
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f([]float64{1, 5, 2, nan, 6, 3}, []float64{1, 5, 5, 5, 6, 6})
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f([]float64{5, 10, 4, 3}, []float64{5, 10, 10, 10})
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}
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func TestVmrangeBucketsToLE(t *testing.T) {
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f := func(buckets, bucketsExpected string) {
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t.Helper()
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tss := promMetricsToTimeseries(buckets)
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result := vmrangeBucketsToLE(tss)
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resultBuckets := timeseriesToPromMetrics(result)
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if !reflect.DeepEqual(resultBuckets, bucketsExpected) {
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t.Errorf("unexpected vmrangeBucketsToLE(); got\n%v\nwant\n%v", resultBuckets, bucketsExpected)
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}
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}
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// A single non-empty vmrange bucket
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f(
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`foo{vmrange="4.084e+02...4.642e+02"} 2 123`,
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`foo{le="4.084e+02"} 0 123
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foo{le="4.642e+02"} 2 123
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foo{le="+Inf"} 2 123`,
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)
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f(
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`foo{vmrange="0...+Inf"} 5 123`,
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`foo{le="+Inf"} 5 123`,
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)
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f(
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`foo{vmrange="-Inf...0"} 4 123`,
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`foo{le="-Inf"} 0 123
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foo{le="0"} 4 123
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foo{le="+Inf"} 4 123`,
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)
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f(
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`foo{vmrange="-Inf...+Inf"} 1.23 456`,
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`foo{le="-Inf"} 0 456
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foo{le="+Inf"} 1.23 456`,
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)
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f(
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`foo{vmrange="0...0"} 5.3 0`,
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`foo{le="0"} 5.3 0
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foo{le="+Inf"} 5.3 0`,
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)
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// Adjacent empty vmrange bucket
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f(
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`foo{vmrange="7.743e+05...8.799e+05"} 5 123
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foo{vmrange="6.813e+05...7.743e+05"} 0 123`,
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`foo{le="7.743e+05"} 0 123
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foo{le="8.799e+05"} 5 123
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foo{le="+Inf"} 5 123`,
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)
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// Multiple adjacent empty vmrange bucket
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f(
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`foo{vmrange="7.743e+05...8.799e+05"} 5 123
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foo{vmrange="6.813e+05...7.743e+05"} 0 123
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foo{vmrange="5.813e+05...6.813e+05"} 0 123
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`,
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`foo{le="7.743e+05"} 0 123
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foo{le="8.799e+05"} 5 123
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foo{le="+Inf"} 5 123`,
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)
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f(
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`foo{vmrange="8.799e+05...9.813e+05"} 0 123
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foo{vmrange="7.743e+05...8.799e+05"} 5 123
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foo{vmrange="6.813e+05...7.743e+05"} 0 123
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foo{vmrange="5.813e+05...6.813e+05"} 0 123
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`,
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`foo{le="7.743e+05"} 0 123
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foo{le="8.799e+05"} 5 123
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foo{le="+Inf"} 5 123`,
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)
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// Multiple non-empty vmrange buckets
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f(
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`foo{vmrange="4.084e+02...4.642e+02"} 2 123
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foo{vmrange="1.234e+02...4.084e+02"} 3 123
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`,
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`foo{le="1.234e+02"} 0 123
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foo{le="4.084e+02"} 3 123
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foo{le="4.642e+02"} 5 123
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foo{le="+Inf"} 5 123`,
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)
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// Multiple disjoint vmrange buckets
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f(
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`foo{vmrange="1...2"} 2 123
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foo{vmrange="4...6"} 3 123
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`,
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`foo{le="1"} 0 123
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foo{le="2"} 2 123
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foo{le="4"} 2 123
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foo{le="6"} 5 123
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foo{le="+Inf"} 5 123`,
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)
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// Multiple intersected vmrange buckets
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f(
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`foo{vmrange="1...5"} 2 123
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foo{vmrange="4...6"} 3 123
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`,
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`foo{le="1"} 0 123
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foo{le="5"} 2 123
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foo{le="4"} 2 123
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foo{le="6"} 5 123
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foo{le="+Inf"} 5 123`,
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)
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// Multiple vmrange buckets with the same end range
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f(
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`foo{vmrange="1...5"} 2 123
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foo{vmrange="0...5"} 3 123
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`,
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`foo{le="1"} 0 123
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foo{le="5"} 2 123
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foo{le="0"} 2 123
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foo{le="+Inf"} 2 123`,
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)
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// A single empty vmrange bucket
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f(
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`foo{vmrange="0...1"} 0 123`,
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``,
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)
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f(
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`foo{vmrange="0...+Inf"} 0 123`,
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``,
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)
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f(
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`foo{vmrange="-Inf...0"} 0 123`,
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``,
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)
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f(
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`foo{vmrange="0...0"} 0 0`,
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``,
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)
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f(
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`foo{vmrange="-Inf...+Inf"} 0 456`,
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``,
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)
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// Multiple empty vmrange buckets
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f(
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`foo{vmrange="2...3"} 0 123
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foo{vmrange="1...2"} 0 123`,
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``,
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)
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// The bucket with negative value
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f(
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`foo{vmrange="4.084e+02...4.642e+02"} -5 1`,
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``,
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)
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// Missing vmrange in the original metric
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f(
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`foo 3 6`,
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``,
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)
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// Missing le label in the original metric
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f(
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`foo{le="456"} 3 6`,
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`foo{le="456"} 3 6`,
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)
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// Invalid vmrange label value
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f(
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`foo{vmrange="foo...bar"} 1 1`,
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``,
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)
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f(
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`foo{vmrange="4.084e+02"} 1 1`,
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``,
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)
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f(
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`foo{vmrange="4.084e+02...foo"} 1 1`,
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``,
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)
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}
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func promMetricsToTimeseries(s string) []*timeseries {
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var rows prometheus.Rows
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rows.UnmarshalWithErrLogger(s, func(errStr string) {
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panic(fmt.Errorf("cannot parse %q: %s", s, errStr))
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})
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var tss []*timeseries
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for _, row := range rows.Rows {
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var tags []storage.Tag
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for _, tag := range row.Tags {
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tags = append(tags, storage.Tag{
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Key: []byte(tag.Key),
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Value: []byte(tag.Value),
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})
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}
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var ts timeseries
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ts.MetricName.MetricGroup = []byte(row.Metric)
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ts.MetricName.Tags = tags
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ts.Timestamps = append(ts.Timestamps, row.Timestamp/1000)
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ts.Values = append(ts.Values, row.Value)
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tss = append(tss, &ts)
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}
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return tss
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}
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func timeseriesToPromMetrics(tss []*timeseries) string {
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var a []string
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for _, ts := range tss {
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metricName := ts.MetricName.String()
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for i := range ts.Timestamps {
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line := fmt.Sprintf("%s %v %d", metricName, ts.Values[i], ts.Timestamps[i])
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a = append(a, line)
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}
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}
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return strings.Join(a, "\n")
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}
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func TestGetNumPrefix(t *testing.T) {
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f := func(s, prefixExpected string) {
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t.Helper()
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prefix := getNumPrefix(s)
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if prefix != prefixExpected {
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t.Fatalf("unexpected getNumPrefix(%q): got %q; want %q", s, prefix, prefixExpected)
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}
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if len(prefix) > 0 {
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if _, err := strconv.ParseFloat(prefix, 64); err != nil {
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t.Fatalf("cannot parse num %q: %s", prefix, err)
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}
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}
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}
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f("", "")
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f("foo", "")
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f("-", "")
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f(".", "")
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f("-.", "")
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f("+..", "")
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f("1", "1")
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f("12", "12")
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f("1foo", "1")
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f("-123", "-123")
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f("-123bar", "-123")
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f("+123", "+123")
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f("+123.", "+123.")
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f("+123..", "+123.")
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f("+123.-", "+123.")
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f("12.34..", "12.34")
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f("-12.34..", "-12.34")
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f("-12.-34..", "-12.")
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}
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func TestNumericLess(t *testing.T) {
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f := func(a, b string, want bool) {
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t.Helper()
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if got := numericLess(a, b); got != want {
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t.Fatalf("unexpected numericLess(%q, %q): got %v; want %v", a, b, got, want)
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}
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}
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// empty strings
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f("", "", false)
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f("", "321", true)
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f("321", "", false)
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f("", "abc", true)
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f("abc", "", false)
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f("foo", "123", false)
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f("123", "foo", true)
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// same length numbers
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f("123", "321", true)
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f("321", "123", false)
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f("123", "123", false)
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// same length strings
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f("a", "b", true)
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f("b", "a", false)
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f("a", "a", false)
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// identical string prefix
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f("foo123", "foo", false)
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f("foo", "foo123", true)
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f("foo", "foo", false)
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// identical num prefix
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f("123foo", "123bar", false)
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f("123bar", "123foo", true)
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f("123bar", "123bar", false)
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// numbers with special chars
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f("1:0:0", "1:0:2", true)
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// numbers with special chars and different number rank
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f("1:0:15", "1:0:2", false)
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// multiple zeroes"
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f("0", "00", false)
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// only chars
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f("aa", "ab", true)
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// strings with different lengths
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f("ab", "abc", true)
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// multiple zeroes after equal char
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f("a0001", "a0000001", false)
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// short first string with numbers and highest rank
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f("a10", "abcdefgh2", true)
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// less as second string
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f("a1b", "a01b", false)
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// equal strings by length with different number rank
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f("a001b01", "a01b001", false)
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// different numbers rank
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f("a01b001", "a001b01", false)
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// different numbers rank
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f("a01b001", "a001b01", false)
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// highest char and number
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f("a1", "a1x", true)
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// highest number reverse chars
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f("1b", "1ax", false)
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// numbers with leading zero
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f("082", "83", true)
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// numbers with leading zero and chars
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f("083a", "9a", false)
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f("083a", "94a", true)
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// negative number
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f("-123", "123", true)
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f("-123", "+123", true)
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f("-123", "-123", false)
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f("123", "-123", false)
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// fractional number
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f("12.9", "12.56", false)
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f("12.56", "12.9", true)
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f("12.9", "12.9", false)
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}
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