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elasticsearch: backend: better timestamp parsing (#64681)

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* elasticsearch: backend: better timestamp parsing

* refactor
This commit is contained in:
Gábor Farkas
2023-03-22 09:52:55 +01:00
committed by GitHub
parent b1a7e1d33d
commit 6d5242e54c
11 changed files with 379 additions and 299 deletions
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378
pkg/tsdb/elasticsearch/response_parser.go
View File

@@ -409,178 +409,248 @@ func newTimeSeriesFrame(timeData []time.Time, tags map[string]string, values []*
return frame
}
func processCountMetric(buckets []*simplejson.Json, props map[string]string) (data.Frames, error) {
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(buckets))
values := make([]*float64, 0, len(buckets))
for _, bucket := range buckets {
value := castToFloat(bucket.Get("doc_count"))
timeValue, err := getAsTime(bucket.Get("key"))
if err != nil {
return nil, err
}
timeVector = append(timeVector, timeValue)
values = append(values, value)
}
for k, v := range props {
tags[k] = v
}
tags["metric"] = countType
return data.Frames{newTimeSeriesFrame(timeVector, tags, values)}, nil
}
func processPercentilesMetric(metric *MetricAgg, buckets []*simplejson.Json, props map[string]string) (data.Frames, error) {
if len(buckets) == 0 {
return data.Frames{}, nil
}
firstBucket := buckets[0]
percentiles := firstBucket.GetPath(metric.ID, "values").MustMap()
percentileKeys := make([]string, 0)
for k := range percentiles {
percentileKeys = append(percentileKeys, k)
}
sort.Strings(percentileKeys)
frames := data.Frames{}
for _, percentileName := range percentileKeys {
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(buckets))
values := make([]*float64, 0, len(buckets))
for k, v := range props {
tags[k] = v
}
tags["metric"] = "p" + percentileName
tags["field"] = metric.Field
for _, bucket := range buckets {
value := castToFloat(bucket.GetPath(metric.ID, "values", percentileName))
key := bucket.Get("key")
timeValue, err := getAsTime(key)
if err != nil {
return nil, err
}
timeVector = append(timeVector, timeValue)
values = append(values, value)
}
frames = append(frames, newTimeSeriesFrame(timeVector, tags, values))
}
return frames, nil
}
func processTopMetricsMetric(metric *MetricAgg, buckets []*simplejson.Json, props map[string]string) (data.Frames, error) {
metrics := metric.Settings.Get("metrics").MustArray()
frames := data.Frames{}
for _, metricField := range metrics {
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(buckets))
values := make([]*float64, 0, len(buckets))
for k, v := range props {
tags[k] = v
}
tags["field"] = metricField.(string)
tags["metric"] = "top_metrics"
for _, bucket := range buckets {
stats := bucket.GetPath(metric.ID, "top")
timeValue, err := getAsTime(bucket.Get("key"))
if err != nil {
return nil, err
}
timeVector = append(timeVector, timeValue)
for _, stat := range stats.MustArray() {
stat := stat.(map[string]interface{})
metrics, hasMetrics := stat["metrics"]
if hasMetrics {
metrics := metrics.(map[string]interface{})
metricValue, hasMetricValue := metrics[metricField.(string)]
if hasMetricValue && metricValue != nil {
v := metricValue.(float64)
values = append(values, &v)
}
}
}
}
frames = append(frames, newTimeSeriesFrame(timeVector, tags, values))
}
return frames, nil
}
func processExtendedStatsMetric(metric *MetricAgg, buckets []*simplejson.Json, props map[string]string) (data.Frames, error) {
metaKeys := make([]string, 0)
meta := metric.Meta.MustMap()
for k := range meta {
metaKeys = append(metaKeys, k)
}
sort.Strings(metaKeys)
frames := data.Frames{}
for _, statName := range metaKeys {
v := meta[statName]
if enabled, ok := v.(bool); !ok || !enabled {
continue
}
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(buckets))
values := make([]*float64, 0, len(buckets))
for k, v := range props {
tags[k] = v
}
tags["metric"] = statName
tags["field"] = metric.Field
for _, bucket := range buckets {
timeValue, err := getAsTime(bucket.Get("key"))
if err != nil {
return nil, err
}
var value *float64
switch statName {
case "std_deviation_bounds_upper":
value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "upper"))
case "std_deviation_bounds_lower":
value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "lower"))
default:
value = castToFloat(bucket.GetPath(metric.ID, statName))
}
timeVector = append(timeVector, timeValue)
values = append(values, value)
}
labels := tags
frames = append(frames, newTimeSeriesFrame(timeVector, labels, values))
}
return frames, nil
}
func processDefaultMetric(metric *MetricAgg, buckets []*simplejson.Json, props map[string]string) (data.Frames, error) {
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(buckets))
values := make([]*float64, 0, len(buckets))
for k, v := range props {
tags[k] = v
}
tags["metric"] = metric.Type
tags["field"] = metric.Field
tags["metricId"] = metric.ID
for _, bucket := range buckets {
timeValue, err := getAsTime(bucket.Get("key"))
if err != nil {
return nil, err
}
valueObj, err := bucket.Get(metric.ID).Map()
if err != nil {
continue
}
var value *float64
if _, ok := valueObj["normalized_value"]; ok {
value = castToFloat(bucket.GetPath(metric.ID, "normalized_value"))
} else {
value = castToFloat(bucket.GetPath(metric.ID, "value"))
}
timeVector = append(timeVector, timeValue)
values = append(values, value)
}
return data.Frames{newTimeSeriesFrame(timeVector, tags, values)}, nil
}
// nolint:gocyclo
func processMetrics(esAgg *simplejson.Json, target *Query, query *backend.DataResponse,
props map[string]string) error {
frames := data.Frames{}
esAggBuckets := esAgg.Get("buckets").MustArray()
jsonBuckets := make([]*simplejson.Json, len(esAggBuckets))
for i, v := range esAggBuckets {
jsonBuckets[i] = simplejson.NewFromAny(v)
}
for _, metric := range target.Metrics {
if metric.Hide {
continue
}
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(esAggBuckets))
values := make([]*float64, 0, len(esAggBuckets))
switch metric.Type {
case countType:
for _, v := range esAggBuckets {
bucket := simplejson.NewFromAny(v)
value := castToFloat(bucket.Get("doc_count"))
key := castToFloat(bucket.Get("key"))
timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
values = append(values, value)
countFrames, err := processCountMetric(jsonBuckets, props)
if err != nil {
return err
}
for k, v := range props {
tags[k] = v
}
tags["metric"] = countType
frames = append(frames, newTimeSeriesFrame(timeVector, tags, values))
frames = append(frames, countFrames...)
case percentilesType:
buckets := esAggBuckets
if len(buckets) == 0 {
break
}
firstBucket := simplejson.NewFromAny(buckets[0])
percentiles := firstBucket.GetPath(metric.ID, "values").MustMap()
percentileKeys := make([]string, 0)
for k := range percentiles {
percentileKeys = append(percentileKeys, k)
}
sort.Strings(percentileKeys)
for _, percentileName := range percentileKeys {
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(esAggBuckets))
values := make([]*float64, 0, len(esAggBuckets))
for k, v := range props {
tags[k] = v
}
tags["metric"] = "p" + percentileName
tags["field"] = metric.Field
for _, v := range buckets {
bucket := simplejson.NewFromAny(v)
value := castToFloat(bucket.GetPath(metric.ID, "values", percentileName))
key := castToFloat(bucket.Get("key"))
timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
values = append(values, value)
}
frames = append(frames, newTimeSeriesFrame(timeVector, tags, values))
percentileFrames, err := processPercentilesMetric(metric, jsonBuckets, props)
if err != nil {
return err
}
frames = append(frames, percentileFrames...)
case topMetricsType:
buckets := esAggBuckets
metrics := metric.Settings.Get("metrics").MustArray()
for _, metricField := range metrics {
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(esAggBuckets))
values := make([]*float64, 0, len(esAggBuckets))
for k, v := range props {
tags[k] = v
}
tags["field"] = metricField.(string)
tags["metric"] = "top_metrics"
for _, v := range buckets {
bucket := simplejson.NewFromAny(v)
stats := bucket.GetPath(metric.ID, "top")
key := castToFloat(bucket.Get("key"))
timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
for _, stat := range stats.MustArray() {
stat := stat.(map[string]interface{})
metrics, hasMetrics := stat["metrics"]
if hasMetrics {
metrics := metrics.(map[string]interface{})
metricValue, hasMetricValue := metrics[metricField.(string)]
if hasMetricValue && metricValue != nil {
v := metricValue.(float64)
values = append(values, &v)
}
}
}
}
frames = append(frames, newTimeSeriesFrame(timeVector, tags, values))
topMetricsFrames, err := processTopMetricsMetric(metric, jsonBuckets, props)
if err != nil {
return err
}
frames = append(frames, topMetricsFrames...)
case extendedStatsType:
buckets := esAggBuckets
metaKeys := make([]string, 0)
meta := metric.Meta.MustMap()
for k := range meta {
metaKeys = append(metaKeys, k)
extendedStatsFrames, err := processExtendedStatsMetric(metric, jsonBuckets, props)
if err != nil {
return err
}
sort.Strings(metaKeys)
for _, statName := range metaKeys {
v := meta[statName]
if enabled, ok := v.(bool); !ok || !enabled {
continue
}
tags := make(map[string]string, len(props))
timeVector := make([]time.Time, 0, len(esAggBuckets))
values := make([]*float64, 0, len(esAggBuckets))
for k, v := range props {
tags[k] = v
}
tags["metric"] = statName
tags["field"] = metric.Field
for _, v := range buckets {
bucket := simplejson.NewFromAny(v)
key := castToFloat(bucket.Get("key"))
var value *float64
switch statName {
case "std_deviation_bounds_upper":
value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "upper"))
case "std_deviation_bounds_lower":
value = castToFloat(bucket.GetPath(metric.ID, "std_deviation_bounds", "lower"))
default:
value = castToFloat(bucket.GetPath(metric.ID, statName))
}
timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
values = append(values, value)
}
labels := tags
frames = append(frames, newTimeSeriesFrame(timeVector, labels, values))
}
frames = append(frames, extendedStatsFrames...)
default:
for k, v := range props {
tags[k] = v
defaultFrames, err := processDefaultMetric(metric, jsonBuckets, props)
if err != nil {
return err
}
tags["metric"] = metric.Type
tags["field"] = metric.Field
tags["metricId"] = metric.ID
for _, v := range esAggBuckets {
bucket := simplejson.NewFromAny(v)
key := castToFloat(bucket.Get("key"))
valueObj, err := bucket.Get(metric.ID).Map()
if err != nil {
continue
}
var value *float64
if _, ok := valueObj["normalized_value"]; ok {
value = castToFloat(bucket.GetPath(metric.ID, "normalized_value"))
} else {
value = castToFloat(bucket.GetPath(metric.ID, "value"))
}
timeVector = append(timeVector, time.Unix(int64(*key)/1000, 0).UTC())
values = append(values, value)
}
frames = append(frames, newTimeSeriesFrame(timeVector, tags, values))
frames = append(frames, defaultFrames...)
}
}
if query.Frames != nil {
@@ -905,6 +975,16 @@ func castToFloat(j *simplejson.Json) *float64 {
return nil
}
func getAsTime(j *simplejson.Json) (time.Time, error) {
// these are stored as numbers
number, err := j.Float64()
if err != nil {
return time.Time{}, err
}
return time.UnixMilli(int64(number)).UTC(), nil
}
func findAgg(target *Query, aggID string) (*BucketAgg, error) {
for _, v := range target.BucketAggs {
if aggID == v.ID {

24
pkg/tsdb/elasticsearch/testdata_response/metric_avg.a.golden.jsonc
View File

@@ -9,15 +9,15 @@
// }
// Name: Average counter
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+------------------+
// | 2023-03-17 13:53:00 +0000 UTC | 39.5 |
// | 2023-03-17 13:54:00 +0000 UTC | 78.5 |
// | 2023-03-17 13:55:00 +0000 UTC | 143.5 |
// +-------------------------------+------------------+
// +-----------------------------------+------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+------------------+
// | 2023-03-17 13:53:00.123 +0000 UTC | 39.5 |
// | 2023-03-17 13:54:00.123 +0000 UTC | 78.5 |
// | 2023-03-17 13:55:00.123 +0000 UTC | 143.5 |
// +-----------------------------------+------------------+
//
//
// 🌟 This was machine generated. Do not edit. 🌟
@@ -56,9 +56,9 @@
"data": {
"values": [
[
1679061180000,
1679061240000,
1679061300000
1679061180123,
1679061240123,
1679061300123
],
[
39.5,

12
pkg/tsdb/elasticsearch/testdata_response/metric_avg.response.json
View File

@@ -22,24 +22,24 @@
"2": {
"buckets": [
{
"key_as_string": "1679061180000",
"key": 1679061180000,
"key_as_string": "1679061180123",
"key": 1679061180123,
"doc_count": 12,
"1": {
"value": 39.5
}
},
{
"key_as_string": "1679061240000",
"key": 1679061240000,
"key_as_string": "1679061240123",
"key": 1679061240123,
"doc_count": 66,
"1": {
"value": 78.5
}
},
{
"key_as_string": "1679061300000",
"key": 1679061300000,
"key_as_string": "1679061300123",
"key": 1679061300123,
"doc_count": 64,
"1": {
"value": 143.5

48
pkg/tsdb/elasticsearch/testdata_response/metric_extended_stats.a.golden.jsonc
View File

@@ -9,15 +9,15 @@
// }
// Name: Std Dev Lower counter
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+--------------------+
// | 2023-03-17 13:53:00 +0000 UTC | 32.59589494093068 |
// | 2023-03-17 13:54:00 +0000 UTC | 40.39925635021454 |
// | 2023-03-17 13:55:00 +0000 UTC | 106.55409359617767 |
// +-------------------------------+--------------------+
// +-----------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+--------------------+
// | 2023-03-17 13:53:00.123 +0000 UTC | 32.59589494093068 |
// | 2023-03-17 13:54:00.123 +0000 UTC | 40.39925635021454 |
// | 2023-03-17 13:55:00.123 +0000 UTC | 106.55409359617767 |
// +-----------------------------------+--------------------+
//
//
//
@@ -30,15 +30,15 @@
// }
// Name: Std Dev Upper counter
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+--------------------+
// | 2023-03-17 13:53:00 +0000 UTC | 46.40410505906932 |
// | 2023-03-17 13:54:00 +0000 UTC | 116.60074364978546 |
// | 2023-03-17 13:55:00 +0000 UTC | 180.44590640382233 |
// +-------------------------------+--------------------+
// +-----------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+--------------------+
// | 2023-03-17 13:53:00.123 +0000 UTC | 46.40410505906932 |
// | 2023-03-17 13:54:00.123 +0000 UTC | 116.60074364978546 |
// | 2023-03-17 13:55:00.123 +0000 UTC | 180.44590640382233 |
// +-----------------------------------+--------------------+
//
//
// 🌟 This was machine generated. Do not edit. 🌟
@@ -77,9 +77,9 @@
"data": {
"values": [
[
1679061180000,
1679061240000,
1679061300000
1679061180123,
1679061240123,
1679061300123
],
[
32.59589494093068,
@@ -121,9 +121,9 @@
"data": {
"values": [
[
1679061180000,
1679061240000,
1679061300000
1679061180123,
1679061240123,
1679061300123
],
[
46.40410505906932,

12
pkg/tsdb/elasticsearch/testdata_response/metric_extended_stats.response.json
View File

@@ -22,8 +22,8 @@
"2": {
"buckets": [
{
"key_as_string": "1679061180000",
"key": 1679061180000,
"key_as_string": "1679061180123",
"key": 1679061180123,
"doc_count": 12,
"1": {
"count": 12,
@@ -49,8 +49,8 @@
}
},
{
"key_as_string": "1679061240000",
"key": 1679061240000,
"key_as_string": "1679061240123",
"key": 1679061240123,
"doc_count": 66,
"1": {
"count": 66,
@@ -76,8 +76,8 @@
}
},
{
"key_as_string": "1679061300000",
"key": 1679061300000,
"key_as_string": "1679061300123",
"key": 1679061300123,
"doc_count": 64,
"1": {
"count": 64,

48
pkg/tsdb/elasticsearch/testdata_response/metric_percentiles.a.golden.jsonc
View File

@@ -9,15 +9,15 @@
// }
// Name: p25.0 counter
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+------------------+
// | 2023-03-17 13:53:00 +0000 UTC | 36.5 |
// | 2023-03-17 13:54:00 +0000 UTC | 62 |
// | 2023-03-17 13:55:00 +0000 UTC | 127.5 |
// +-------------------------------+------------------+
// +-----------------------------------+------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+------------------+
// | 2023-03-17 13:53:00.123 +0000 UTC | 36.5 |
// | 2023-03-17 13:54:00.123 +0000 UTC | 62 |
// | 2023-03-17 13:55:00.123 +0000 UTC | 127.5 |
// +-----------------------------------+------------------+
//
//
//
@@ -30,15 +30,15 @@
// }
// Name: p75.0 counter
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+------------------+
// | 2023-03-17 13:53:00 +0000 UTC | 42.5 |
// | 2023-03-17 13:54:00 +0000 UTC | 95 |
// | 2023-03-17 13:55:00 +0000 UTC | 159.5 |
// +-------------------------------+------------------+
// +-----------------------------------+------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+------------------+
// | 2023-03-17 13:53:00.123 +0000 UTC | 42.5 |
// | 2023-03-17 13:54:00.123 +0000 UTC | 95 |
// | 2023-03-17 13:55:00.123 +0000 UTC | 159.5 |
// +-----------------------------------+------------------+
//
//
// 🌟 This was machine generated. Do not edit. 🌟
@@ -77,9 +77,9 @@
"data": {
"values": [
[
1679061180000,
1679061240000,
1679061300000
1679061180123,
1679061240123,
1679061300123
],
[
36.5,
@@ -121,9 +121,9 @@
"data": {
"values": [
[
1679061180000,
1679061240000,
1679061300000
1679061180123,
1679061240123,
1679061300123
],
[
42.5,

12
pkg/tsdb/elasticsearch/testdata_response/metric_percentiles.response.json
View File

@@ -22,8 +22,8 @@
"2": {
"buckets": [
{
"key_as_string": "1679061180000",
"key": 1679061180000,
"key_as_string": "1679061180123",
"key": 1679061180123,
"doc_count": 12,
"1": {
"values": {
@@ -33,8 +33,8 @@
}
},
{
"key_as_string": "1679061240000",
"key": 1679061240000,
"key_as_string": "1679061240123",
"key": 1679061240123,
"doc_count": 66,
"1": {
"values": {
@@ -44,8 +44,8 @@
}
},
{
"key_as_string": "1679061300000",
"key": 1679061300000,
"key_as_string": "1679061300123",
"key": 1679061300123,
"doc_count": 64,
"1": {
"values": {

84
pkg/tsdb/elasticsearch/testdata_response/metric_simple.a.golden.jsonc
View File

@@ -9,16 +9,16 @@
// }
// Name: val3
// Dimensions: 2 Fields by 4 Rows
// +-------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: label=val3 |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+--------------------+
// | 2022-11-14 10:40:00 +0000 UTC | 0 |
// | 2022-11-14 10:41:00 +0000 UTC | 27 |
// | 2022-11-14 10:42:00 +0000 UTC | 21 |
// | 2022-11-14 10:43:00 +0000 UTC | 31 |
// +-------------------------------+--------------------+
// +-----------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: label=val3 |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+--------------------+
// | 2022-11-14 10:40:00.123 +0000 UTC | 0 |
// | 2022-11-14 10:41:00.123 +0000 UTC | 27 |
// | 2022-11-14 10:42:00.123 +0000 UTC | 21 |
// | 2022-11-14 10:43:00.123 +0000 UTC | 31 |
// +-----------------------------------+--------------------+
//
//
//
@@ -31,16 +31,16 @@
// }
// Name: val2
// Dimensions: 2 Fields by 4 Rows
// +-------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: label=val2 |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+--------------------+
// | 2022-11-14 10:40:00 +0000 UTC | 0 |
// | 2022-11-14 10:41:00 +0000 UTC | 28 |
// | 2022-11-14 10:42:00 +0000 UTC | 22 |
// | 2022-11-14 10:43:00 +0000 UTC | 39 |
// +-------------------------------+--------------------+
// +-----------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: label=val2 |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+--------------------+
// | 2022-11-14 10:40:00.123 +0000 UTC | 0 |
// | 2022-11-14 10:41:00.123 +0000 UTC | 28 |
// | 2022-11-14 10:42:00.123 +0000 UTC | 22 |
// | 2022-11-14 10:43:00.123 +0000 UTC | 39 |
// +-----------------------------------+--------------------+
//
//
//
@@ -53,16 +53,16 @@
// }
// Name: val1
// Dimensions: 2 Fields by 4 Rows
// +-------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: label=val1 |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+--------------------+
// | 2022-11-14 10:40:00 +0000 UTC | 0 |
// | 2022-11-14 10:41:00 +0000 UTC | 26 |
// | 2022-11-14 10:42:00 +0000 UTC | 20 |
// | 2022-11-14 10:43:00 +0000 UTC | 41 |
// +-------------------------------+--------------------+
// +-----------------------------------+--------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: label=val1 |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+--------------------+
// | 2022-11-14 10:40:00.123 +0000 UTC | 0 |
// | 2022-11-14 10:41:00.123 +0000 UTC | 26 |
// | 2022-11-14 10:42:00.123 +0000 UTC | 20 |
// | 2022-11-14 10:43:00.123 +0000 UTC | 41 |
// +-----------------------------------+--------------------+
//
//
// 🌟 This was machine generated. Do not edit. 🌟
@@ -103,10 +103,10 @@
"data": {
"values": [
[
1668422400000,
1668422460000,
1668422520000,
1668422580000
1668422400123,
1668422460123,
1668422520123,
1668422580123
],
[
0,
@@ -151,10 +151,10 @@
"data": {
"values": [
[
1668422400000,
1668422460000,
1668422520000,
1668422580000
1668422400123,
1668422460123,
1668422520123,
1668422580123
],
[
0,
@@ -199,10 +199,10 @@
"data": {
"values": [
[
1668422400000,
1668422460000,
1668422520000,
1668422580000
1668422400123,
1668422460123,
1668422520123,
1668422580123
],
[
0,

24
pkg/tsdb/elasticsearch/testdata_response/metric_simple.response.json
View File

@@ -16,10 +16,10 @@
"doc_count": 79,
"2": {
"buckets": [
{ "key_as_string": "1668422400000", "key": 1668422400000, "doc_count": 0 },
{ "key_as_string": "1668422460000", "key": 1668422460000, "doc_count": 27 },
{ "key_as_string": "1668422520000", "key": 1668422520000, "doc_count": 21 },
{ "key_as_string": "1668422580000", "key": 1668422580000, "doc_count": 31 }
{ "key_as_string": "1668422400123", "key": 1668422400123, "doc_count": 0 },
{ "key_as_string": "1668422460123", "key": 1668422460123, "doc_count": 27 },
{ "key_as_string": "1668422520123", "key": 1668422520123, "doc_count": 21 },
{ "key_as_string": "1668422580123", "key": 1668422580123, "doc_count": 31 }
]
}
},
@@ -28,10 +28,10 @@
"doc_count": 89,
"2": {
"buckets": [
{ "key_as_string": "1668422400000", "key": 1668422400000, "doc_count": 0 },
{ "key_as_string": "1668422460000", "key": 1668422460000, "doc_count": 28 },
{ "key_as_string": "1668422520000", "key": 1668422520000, "doc_count": 22 },
{ "key_as_string": "1668422580000", "key": 1668422580000, "doc_count": 39 }
{ "key_as_string": "1668422400123", "key": 1668422400123, "doc_count": 0 },
{ "key_as_string": "1668422460123", "key": 1668422460123, "doc_count": 28 },
{ "key_as_string": "1668422520123", "key": 1668422520123, "doc_count": 22 },
{ "key_as_string": "1668422580123", "key": 1668422580123, "doc_count": 39 }
]
}
},
@@ -40,10 +40,10 @@
"doc_count": 87,
"2": {
"buckets": [
{ "key_as_string": "1668422400000", "key": 1668422400000, "doc_count": 0 },
{ "key_as_string": "1668422460000", "key": 1668422460000, "doc_count": 26 },
{ "key_as_string": "1668422520000", "key": 1668422520000, "doc_count": 20 },
{ "key_as_string": "1668422580000", "key": 1668422580000, "doc_count": 41 }
{ "key_as_string": "1668422400123", "key": 1668422400123, "doc_count": 0 },
{ "key_as_string": "1668422460123", "key": 1668422460123, "doc_count": 26 },
{ "key_as_string": "1668422520123", "key": 1668422520123, "doc_count": 20 },
{ "key_as_string": "1668422580123", "key": 1668422580123, "doc_count": 41 }
]
}
}

24
pkg/tsdb/elasticsearch/testdata_response/metric_top_metrics.a.golden.jsonc
View File

@@ -9,15 +9,15 @@
// }
// Name: Top Metrics float
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+-------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+-------------------+
// | 2023-03-17 13:53:00 +0000 UTC | 97.16779327392578 |
// | 2023-03-17 13:54:00 +0000 UTC | 99.32247161865234 |
// | 2023-03-17 13:55:00 +0000 UTC | 98.62533569335938 |
// +-------------------------------+-------------------+
// +-----------------------------------+-------------------+
// | Name: Time | Name: Value |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-----------------------------------+-------------------+
// | 2023-03-17 13:53:00.123 +0000 UTC | 97.16779327392578 |
// | 2023-03-17 13:54:00.123 +0000 UTC | 99.32247161865234 |
// | 2023-03-17 13:55:00.123 +0000 UTC | 98.62533569335938 |
// +-----------------------------------+-------------------+
//
//
// 🌟 This was machine generated. Do not edit. 🌟
@@ -56,9 +56,9 @@
"data": {
"values": [
[
1679061180000,
1679061240000,
1679061300000
1679061180123,
1679061240123,
1679061300123
],
[
97.16779327392578,

12
pkg/tsdb/elasticsearch/testdata_response/metric_top_metrics.response.json
View File

@@ -22,8 +22,8 @@
"2": {
"buckets": [
{
"key_as_string": "1679061180000",
"key": 1679061180000,
"key_as_string": "1679061180123",
"key": 1679061180123,
"doc_count": 12,
"1": {
"top": [
@@ -39,8 +39,8 @@
}
},
{
"key_as_string": "1679061240000",
"key": 1679061240000,
"key_as_string": "1679061240123",
"key": 1679061240123,
"doc_count": 66,
"1": {
"top": [
@@ -56,8 +56,8 @@
}
},
{
"key_as_string": "1679061300000",
"key": 1679061300000,
"key_as_string": "1679061300123",
"key": 1679061300123,
"doc_count": 64,
"1": {
"top": [