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e2e/alert_
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nv/dashboa
| Author | SHA1 | Date | |
|---|---|---|---|
|
86fc0e81ba | ||
|
|
59501ce4a7 |
67
pkg/types/dashboardtypes/perses_v1_to_v2.go
Normal file
67
pkg/types/dashboardtypes/perses_v1_to_v2.go
Normal file
@@ -0,0 +1,67 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
)
|
||||
|
||||
// V1 → V2 migration. The v1 storable shape is the frontend's `DashboardData`
|
||||
// (see frontend/src/types/api/dashboard/getAll.ts); v2 is DashboardV2 /
|
||||
// DashboardSpec.
|
||||
//
|
||||
// Assumes the v1 widget query data has already been migrated to v5 shape
|
||||
// (transition.dashboardMigrateV5). Pre-v5 builder queries will produce
|
||||
// invalid v2 envelopes — run the v4→v5 migration first.
|
||||
//
|
||||
// The conversion is split across sibling files by concern:
|
||||
// - perses_v1_to_v2_tags.go tags
|
||||
// - perses_v1_to_v2_panels.go widgets → panels (+ panel field mappers)
|
||||
// - perses_v1_to_v2_queries.go widget queries
|
||||
// - perses_v1_to_v2_layouts.go grid layouts and sections
|
||||
// - perses_v1_to_v2_variables.go variables
|
||||
// - perses_v1_to_v2_helpers.go generic map/slice accessors
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Entry point
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func (storable StorableDashboard) IsV2() bool {
|
||||
metadata, _ := storable.Data["metadata"].(map[string]any)
|
||||
if metadata == nil {
|
||||
return false
|
||||
}
|
||||
version, _ := metadata["schemaVersion"].(string)
|
||||
return version == SchemaVersion
|
||||
}
|
||||
|
||||
func (storable StorableDashboard) ConvertV1ToV2() (*DashboardV2, error) {
|
||||
if storable.IsV2() {
|
||||
return nil, errors.Newf(errors.TypeInvalidInput, ErrCodeDashboardInvalidData, "dashboard %s is already in %s schema", storable.ID, SchemaVersion)
|
||||
}
|
||||
|
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image, _ := storable.Data["image"].(string)
|
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title, _ := storable.Data["title"].(string)
|
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description, _ := storable.Data["description"].(string)
|
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|
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spec := DashboardSpec{
|
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Display: Display{Name: title, Description: description},
|
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Variables: convertV1Variables(storable.Data["variables"]),
|
||||
Panels: convertV1Panels(storable.Data["widgets"]),
|
||||
Layouts: convertV1Layouts(storable.Data),
|
||||
}
|
||||
|
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return &DashboardV2{
|
||||
Identifiable: storable.Identifiable,
|
||||
TimeAuditable: storable.TimeAuditable,
|
||||
UserAuditable: storable.UserAuditable,
|
||||
OrgID: storable.OrgID,
|
||||
Locked: storable.Locked,
|
||||
Source: storable.Source,
|
||||
DashboardV2MetadataBase: DashboardV2MetadataBase{
|
||||
SchemaVersion: SchemaVersion,
|
||||
Image: image,
|
||||
},
|
||||
Name: storable.Name,
|
||||
Tags: convertV1TagsForOrg(storable.OrgID, storable.Data["tags"]),
|
||||
Spec: spec,
|
||||
}, nil
|
||||
}
|
||||
85
pkg/types/dashboardtypes/perses_v1_to_v2_helpers.go
Normal file
85
pkg/types/dashboardtypes/perses_v1_to_v2_helpers.go
Normal file
@@ -0,0 +1,85 @@
|
||||
package dashboardtypes
|
||||
|
||||
import "encoding/json"
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Generic helpers
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// ptrValueAt is the pointer-returning sibling of valueAt: it returns *T so the
|
||||
// caller can tell "absent / wrong type" (nil) apart from a present zero value.
|
||||
// Used for optional fields like soft axis bounds and histogram bucket sizing.
|
||||
func ptrValueAt[T any](raw any, key string) *T {
|
||||
m, ok := raw.(map[string]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
v, ok := m[key].(T)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
return &v
|
||||
}
|
||||
|
||||
func readStringMap(raw any) map[string]string {
|
||||
m, ok := raw.(map[string]any)
|
||||
if !ok || len(m) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make(map[string]string, len(m))
|
||||
for k, v := range m {
|
||||
if s, ok := v.(string); ok {
|
||||
out[k] = s
|
||||
}
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func readSliceOfMaps(raw any) []map[string]any {
|
||||
rawSlice, ok := raw.([]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
out := make([]map[string]any, 0, len(rawSlice))
|
||||
for _, item := range rawSlice {
|
||||
if m, ok := item.(map[string]any); ok {
|
||||
out = append(out, m)
|
||||
}
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
// valueAt reads key from raw (when raw is a map[string]any) and returns its
|
||||
// value as T, or the zero value of T if raw isn't a map, the key is absent, or
|
||||
// the stored value isn't a T. Used to pull typed fields out of the untyped v1
|
||||
// dashboard blob.
|
||||
func valueAt[T any](raw any, key string) T {
|
||||
var zero T
|
||||
m, ok := raw.(map[string]any)
|
||||
if !ok {
|
||||
return zero
|
||||
}
|
||||
v, _ := m[key].(T)
|
||||
return v
|
||||
}
|
||||
|
||||
// intAt is a thin wrapper over valueAt: JSON decodes numbers as float64, so an
|
||||
// integer field must be read as float64 and narrowed.
|
||||
func intAt(raw any, key string) int {
|
||||
return int(valueAt[float64](raw, key))
|
||||
}
|
||||
|
||||
// decodeMapInto converts an untyped map[string]any into a typed T by
|
||||
// round-tripping through JSON, letting encoding/json (struct tags, custom
|
||||
// UnmarshalJSON) do the field mapping instead of hand-copying out of the map.
|
||||
func decodeMapInto[T any](src map[string]any) (T, error) {
|
||||
var dst T
|
||||
bytes, err := json.Marshal(src)
|
||||
if err != nil {
|
||||
return dst, err
|
||||
}
|
||||
if err := json.Unmarshal(bytes, &dst); err != nil {
|
||||
return dst, err
|
||||
}
|
||||
return dst, nil
|
||||
}
|
||||
138
pkg/types/dashboardtypes/perses_v1_to_v2_layouts.go
Normal file
138
pkg/types/dashboardtypes/perses_v1_to_v2_layouts.go
Normal file
@@ -0,0 +1,138 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"sort"
|
||||
|
||||
"github.com/perses/spec/go/common"
|
||||
"github.com/perses/spec/go/dashboard"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Layouts (data.layout + data.panelMap)
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1Layouts groups v1 react-grid-layout entries by section. Each row
|
||||
// widget (panelTypes == "row") in `widgets` plus its `panelMap` entry becomes
|
||||
// a separate v2 grid layout with a collapsible display. Widgets that are not
|
||||
// part of any section land in a default unnamed grid (added only if any such
|
||||
// widgets exist).
|
||||
func convertV1Layouts(data StorableDashboardData) []Layout {
|
||||
layoutsRaw := readSliceOfMaps(data["layout"])
|
||||
if len(layoutsRaw) == 0 {
|
||||
return nil
|
||||
}
|
||||
panelMap, _ := data["panelMap"].(map[string]any)
|
||||
|
||||
rows, widgetIDToRow := indexRows(data["widgets"], panelMap)
|
||||
|
||||
type bucket struct {
|
||||
title string
|
||||
open bool
|
||||
isRow bool
|
||||
layouts []map[string]any
|
||||
ordering int
|
||||
}
|
||||
rootBucket := &bucket{}
|
||||
rowBuckets := make(map[string]*bucket, len(rows))
|
||||
for _, row := range rows {
|
||||
rowBuckets[row.id] = &bucket{
|
||||
title: row.title,
|
||||
open: !row.collapsed,
|
||||
isRow: true,
|
||||
ordering: row.ordering,
|
||||
}
|
||||
}
|
||||
|
||||
for _, item := range layoutsRaw {
|
||||
widgetID, _ := item["i"].(string)
|
||||
if widgetID == "" {
|
||||
continue
|
||||
}
|
||||
if rowID, ok := widgetIDToRow[widgetID]; ok {
|
||||
if b, ok := rowBuckets[rowID]; ok {
|
||||
b.layouts = append(b.layouts, item)
|
||||
continue
|
||||
}
|
||||
}
|
||||
// row widgets themselves shouldn't end up as items in the root grid;
|
||||
// they exist only to anchor their section.
|
||||
if _, isRow := rowBuckets[widgetID]; isRow {
|
||||
continue
|
||||
}
|
||||
rootBucket.layouts = append(rootBucket.layouts, item)
|
||||
}
|
||||
|
||||
out := make([]Layout, 0, len(rows)+1)
|
||||
if len(rootBucket.layouts) > 0 {
|
||||
out = append(out, gridLayoutFromBucket("", true, false, rootBucket.layouts))
|
||||
}
|
||||
|
||||
rowKeys := make([]string, 0, len(rowBuckets))
|
||||
for id := range rowBuckets {
|
||||
rowKeys = append(rowKeys, id)
|
||||
}
|
||||
sort.SliceStable(rowKeys, func(i, j int) bool {
|
||||
return rowBuckets[rowKeys[i]].ordering < rowBuckets[rowKeys[j]].ordering
|
||||
})
|
||||
for _, id := range rowKeys {
|
||||
b := rowBuckets[id]
|
||||
out = append(out, gridLayoutFromBucket(b.title, b.open, true, b.layouts))
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
type rowInfo struct {
|
||||
id string
|
||||
title string
|
||||
collapsed bool
|
||||
ordering int
|
||||
}
|
||||
|
||||
func indexRows(widgetsRaw any, panelMap map[string]any) ([]rowInfo, map[string]string) {
|
||||
widgets := readSliceOfMaps(widgetsRaw)
|
||||
rows := make([]rowInfo, 0)
|
||||
widgetToRow := make(map[string]string)
|
||||
for i, w := range widgets {
|
||||
if t, _ := w["panelTypes"].(string); t != "row" {
|
||||
continue
|
||||
}
|
||||
id, _ := w["id"].(string)
|
||||
if id == "" {
|
||||
continue
|
||||
}
|
||||
title, _ := w["title"].(string)
|
||||
row := rowInfo{id: id, title: title, ordering: i}
|
||||
if pm, ok := panelMap[id].(map[string]any); ok {
|
||||
row.collapsed = valueAt[bool](pm, "collapsed")
|
||||
for _, child := range readSliceOfMaps(pm["widgets"]) {
|
||||
if childID, _ := child["i"].(string); childID != "" {
|
||||
widgetToRow[childID] = id
|
||||
}
|
||||
}
|
||||
}
|
||||
rows = append(rows, row)
|
||||
}
|
||||
return rows, widgetToRow
|
||||
}
|
||||
|
||||
func gridLayoutFromBucket(title string, open, isRow bool, items []map[string]any) Layout {
|
||||
spec := dashboard.GridLayoutSpec{Items: make([]dashboard.GridItem, 0, len(items))}
|
||||
if title != "" || isRow {
|
||||
spec.Display = &dashboard.GridLayoutDisplay{Title: title}
|
||||
if isRow {
|
||||
spec.Display.Collapse = &dashboard.GridLayoutCollapse{Open: open}
|
||||
}
|
||||
}
|
||||
for _, item := range items {
|
||||
widgetID, _ := item["i"].(string)
|
||||
spec.Items = append(spec.Items, dashboard.GridItem{
|
||||
X: intAt(item, "x"),
|
||||
Y: intAt(item, "y"),
|
||||
Width: intAt(item, "w"),
|
||||
Height: intAt(item, "h"),
|
||||
Content: &common.JSONRef{Ref: fmt.Sprintf("#/spec/panels/%s", widgetID)},
|
||||
})
|
||||
}
|
||||
return Layout{Kind: dashboard.KindGridLayout, Spec: &spec}
|
||||
}
|
||||
449
pkg/types/dashboardtypes/perses_v1_to_v2_panels.go
Normal file
449
pkg/types/dashboardtypes/perses_v1_to_v2_panels.go
Normal file
@@ -0,0 +1,449 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Widgets → Panels
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1Panels walks the v1 `widgets` array and produces v2 panels keyed by
|
||||
// the v1 widget id. WidgetRow entries (panelTypes == "row") are dropped here
|
||||
// and consumed by convertV1Layouts as section headers.
|
||||
func convertV1Panels(raw any) map[string]*Panel {
|
||||
rawSlice, ok := raw.([]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
panels := make(map[string]*Panel, len(rawSlice))
|
||||
for _, item := range rawSlice {
|
||||
widget, ok := item.(map[string]any)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
id, _ := widget["id"].(string)
|
||||
if id == "" {
|
||||
continue
|
||||
}
|
||||
panelType, _ := widget["panelTypes"].(string)
|
||||
var panel *Panel
|
||||
switch panelType {
|
||||
case "graph":
|
||||
panel = convertGraphWidget(widget)
|
||||
case "bar":
|
||||
panel = convertBarWidget(widget)
|
||||
case "value":
|
||||
panel = convertValueWidget(widget)
|
||||
case "pie":
|
||||
panel = convertPieWidget(widget)
|
||||
case "table":
|
||||
panel = convertTableWidget(widget)
|
||||
case "histogram":
|
||||
panel = convertHistogramWidget(widget)
|
||||
case "list":
|
||||
panel = convertListWidget(widget)
|
||||
default:
|
||||
// "row" (section header) is handled by the layout pass; unknown kinds skipped.
|
||||
continue
|
||||
}
|
||||
if panel == nil {
|
||||
continue
|
||||
}
|
||||
panels[id] = panel
|
||||
}
|
||||
return panels
|
||||
}
|
||||
|
||||
func convertGraphWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindTimeSeries,
|
||||
Spec: &TimeSeriesPanelSpec{
|
||||
Visualization: TimeSeriesVisualization{
|
||||
BasicVisualization: basicVisualization(w),
|
||||
FillSpans: valueAt[bool](w, "fillSpans"),
|
||||
},
|
||||
Formatting: panelFormatting(w),
|
||||
ChartAppearance: TimeSeriesChartAppearance{
|
||||
LineInterpolation: mapV1Enum(w["lineInterpolation"], LineInterpolationSpline,
|
||||
LineInterpolationLinear, LineInterpolationSpline, LineInterpolationStepAfter, LineInterpolationStepBefore),
|
||||
ShowPoints: valueAt[bool](w, "showPoints"),
|
||||
LineStyle: mapV1Enum(w["lineStyle"], LineStyleSolid, LineStyleSolid, LineStyleDashed),
|
||||
FillMode: mapV1Enum(w["fillMode"], FillModeSolid, FillModeSolid, FillModeGradient, FillModeNone),
|
||||
SpanGaps: mapV1SpanGaps(w["spanGaps"]),
|
||||
},
|
||||
Axes: axesFromWidget(w),
|
||||
Legend: legendFromWidget(w),
|
||||
Thresholds: mapV1ThresholdsWithLabel(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindTimeSeries),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertBarWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindBarChart,
|
||||
Spec: &BarChartPanelSpec{
|
||||
Visualization: BarChartVisualization{
|
||||
BasicVisualization: basicVisualization(w),
|
||||
FillSpans: valueAt[bool](w, "fillSpans"),
|
||||
StackedBarChart: valueAt[bool](w, "stackedBarChart"),
|
||||
},
|
||||
Formatting: panelFormatting(w),
|
||||
Axes: axesFromWidget(w),
|
||||
Legend: legendFromWidget(w),
|
||||
Thresholds: mapV1ThresholdsWithLabel(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindBarChart),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertValueWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindNumber,
|
||||
Spec: &NumberPanelSpec{
|
||||
Visualization: basicVisualization(w),
|
||||
Formatting: panelFormatting(w),
|
||||
Thresholds: mapV1ComparisonThresholds(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindNumber),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertPieWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindPieChart,
|
||||
Spec: &PieChartPanelSpec{
|
||||
Visualization: basicVisualization(w),
|
||||
Formatting: panelFormatting(w),
|
||||
Legend: legendFromWidget(w),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindPieChart),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertTableWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindTable,
|
||||
Spec: &TablePanelSpec{
|
||||
Visualization: basicVisualization(w),
|
||||
Formatting: TableFormatting{
|
||||
ColumnUnits: readStringMap(w["columnUnits"]),
|
||||
DecimalPrecision: mapV1Precision(w["decimalPrecision"]),
|
||||
},
|
||||
Thresholds: mapV1TableThresholds(w["thresholds"]),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindTable),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertHistogramWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindHistogram,
|
||||
Spec: &HistogramPanelSpec{
|
||||
HistogramBuckets: HistogramBuckets{
|
||||
BucketCount: ptrValueAt[float64](w, "bucketCount"),
|
||||
BucketWidth: ptrValueAt[float64](w, "bucketWidth"),
|
||||
MergeAllActiveQueries: valueAt[bool](w, "mergeAllActiveQueries"),
|
||||
},
|
||||
Legend: legendFromWidget(w),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindHistogram),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func convertListWidget(w map[string]any) *Panel {
|
||||
return &Panel{
|
||||
Kind: "Panel",
|
||||
Spec: PanelSpec{
|
||||
Display: widgetDisplay(w),
|
||||
Plugin: PanelPlugin{
|
||||
Kind: PanelKindList,
|
||||
Spec: &ListPanelSpec{
|
||||
SelectFields: mapV1SelectFields(w),
|
||||
},
|
||||
},
|
||||
Queries: convertV1WidgetQuery(w, PanelKindList),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Panel-spec shared helpers
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func widgetDisplay(w map[string]any) Display {
|
||||
title, _ := w["title"].(string)
|
||||
description, _ := w["description"].(string)
|
||||
return Display{Name: title, Description: description}
|
||||
}
|
||||
|
||||
func basicVisualization(w map[string]any) BasicVisualization {
|
||||
return BasicVisualization{TimePreference: mapV1TimePreference(w["timePreferance"])}
|
||||
}
|
||||
|
||||
func panelFormatting(w map[string]any) PanelFormatting {
|
||||
unit, _ := w["yAxisUnit"].(string)
|
||||
return PanelFormatting{Unit: unit, DecimalPrecision: mapV1Precision(w["decimalPrecision"])}
|
||||
}
|
||||
|
||||
func axesFromWidget(w map[string]any) Axes {
|
||||
return Axes{
|
||||
SoftMin: ptrValueAt[float64](w, "softMin"),
|
||||
SoftMax: ptrValueAt[float64](w, "softMax"),
|
||||
IsLogScale: valueAt[bool](w, "isLogScale"),
|
||||
}
|
||||
}
|
||||
|
||||
func legendFromWidget(w map[string]any) Legend {
|
||||
return Legend{
|
||||
Position: mapV1Enum(w["legendPosition"], LegendPositionBottom, LegendPositionBottom, LegendPositionRight),
|
||||
CustomColors: readStringMap(w["customLegendColors"]),
|
||||
}
|
||||
}
|
||||
|
||||
func mapV1SelectFields(w map[string]any) []telemetrytypes.TelemetryFieldKey {
|
||||
if raw, ok := w["selectedLogFields"].([]any); ok && len(raw) > 0 {
|
||||
return decodeTelemetryFields(raw)
|
||||
}
|
||||
if raw, ok := w["selectedTracesFields"].([]any); ok && len(raw) > 0 {
|
||||
return decodeTelemetryFields(raw)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func decodeTelemetryFields(raw []any) []telemetrytypes.TelemetryFieldKey {
|
||||
bytes, err := json.Marshal(raw)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
var fields []telemetrytypes.TelemetryFieldKey
|
||||
if err := json.Unmarshal(bytes, &fields); err != nil {
|
||||
return nil
|
||||
}
|
||||
return fields
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Panel field mappers
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// v1 stores timePreferance as `GLOBAL_TIME`, `LAST_5_MIN`, … (see
|
||||
// frontend/src/container/NewWidget/RightContainer/timeItems.ts). v2 uses the
|
||||
// lowercase form, so the translation is just downcase.
|
||||
func mapV1TimePreference(raw any) TimePreference {
|
||||
s, ok := raw.(string)
|
||||
if !ok || s == "" {
|
||||
return TimePreferenceGlobalTime
|
||||
}
|
||||
candidate := TimePreference{valuer.NewString(strings.ToLower(s))}
|
||||
for _, allowed := range candidate.Enum() {
|
||||
if allowed == candidate {
|
||||
return candidate
|
||||
}
|
||||
}
|
||||
return TimePreferenceGlobalTime
|
||||
}
|
||||
|
||||
func mapV1Precision(raw any) PrecisionOption {
|
||||
switch v := raw.(type) {
|
||||
case string:
|
||||
candidate := PrecisionOption{valuer.NewString(v)}
|
||||
for _, allowed := range candidate.Enum() {
|
||||
if allowed == candidate {
|
||||
return candidate
|
||||
}
|
||||
}
|
||||
case float64:
|
||||
n := int(v)
|
||||
if n >= 0 && n <= 4 {
|
||||
return PrecisionOption{valuer.NewString(strconv.Itoa(n))}
|
||||
}
|
||||
}
|
||||
return PrecisionOption2
|
||||
}
|
||||
|
||||
// mapV1Enum picks the v1 string value if it matches one of the allowed v2
|
||||
// values, otherwise returns the fallback. v1 frontend enums (lineInterpolation,
|
||||
// lineStyle, fillMode, legendPosition) already use the v2 lowercase form.
|
||||
func mapV1Enum[T interface{ StringValue() string }](raw any, fallback T, allowed ...T) T {
|
||||
s, ok := raw.(string)
|
||||
if !ok || s == "" {
|
||||
return fallback
|
||||
}
|
||||
for _, a := range allowed {
|
||||
if a.StringValue() == s {
|
||||
return a
|
||||
}
|
||||
}
|
||||
return fallback
|
||||
}
|
||||
|
||||
// v1 spanGaps is `boolean | number`. true → span every gap; false → never span;
|
||||
// a number is interpreted (per frontend SeriesProps.spanGaps docs) as an
|
||||
// X-axis threshold in seconds.
|
||||
func mapV1SpanGaps(raw any) SpanGaps {
|
||||
switch v := raw.(type) {
|
||||
case bool:
|
||||
if v {
|
||||
return SpanGaps{FillOnlyBelow: false}
|
||||
}
|
||||
return SpanGaps{FillOnlyBelow: true}
|
||||
case float64:
|
||||
dur, err := valuer.ParseTextDuration(time.Duration(v * float64(time.Second)).String())
|
||||
if err != nil {
|
||||
return SpanGaps{FillOnlyBelow: false}
|
||||
}
|
||||
return SpanGaps{FillOnlyBelow: true, FillLessThan: dur}
|
||||
}
|
||||
return SpanGaps{FillOnlyBelow: false}
|
||||
}
|
||||
|
||||
func mapV1ThresholdsWithLabel(raw any) []ThresholdWithLabel {
|
||||
rawSlice := readSliceOfMaps(raw)
|
||||
if len(rawSlice) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make([]ThresholdWithLabel, 0, len(rawSlice))
|
||||
for _, t := range rawSlice {
|
||||
color, _ := t["thresholdColor"].(string)
|
||||
label, _ := t["thresholdLabel"].(string)
|
||||
if color == "" || label == "" {
|
||||
// v2 ThresholdWithLabel requires both; drop entries that wouldn't validate.
|
||||
continue
|
||||
}
|
||||
value, _ := t["thresholdValue"].(float64)
|
||||
unit, _ := t["thresholdUnit"].(string)
|
||||
out = append(out, ThresholdWithLabel{Value: value, Unit: unit, Color: color, Label: label})
|
||||
}
|
||||
if len(out) == 0 {
|
||||
return nil
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func mapV1ComparisonThresholds(raw any) []ComparisonThreshold {
|
||||
rawSlice := readSliceOfMaps(raw)
|
||||
if len(rawSlice) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make([]ComparisonThreshold, 0, len(rawSlice))
|
||||
for _, t := range rawSlice {
|
||||
color, _ := t["thresholdColor"].(string)
|
||||
if color == "" {
|
||||
continue
|
||||
}
|
||||
out = append(out, ComparisonThreshold{
|
||||
Value: valueAt[float64](t, "thresholdValue"),
|
||||
Operator: mapV1ComparisonOperator(t["thresholdOperator"]),
|
||||
Unit: valueAt[string](t, "thresholdUnit"),
|
||||
Color: color,
|
||||
Format: mapV1ThresholdFormat(t["thresholdFormat"]),
|
||||
})
|
||||
}
|
||||
if len(out) == 0 {
|
||||
return nil
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func mapV1TableThresholds(raw any) []TableThreshold {
|
||||
rawSlice := readSliceOfMaps(raw)
|
||||
if len(rawSlice) == 0 {
|
||||
return nil
|
||||
}
|
||||
out := make([]TableThreshold, 0, len(rawSlice))
|
||||
for _, t := range rawSlice {
|
||||
color, _ := t["thresholdColor"].(string)
|
||||
columnName, _ := t["thresholdTableOptions"].(string)
|
||||
if color == "" || columnName == "" {
|
||||
continue
|
||||
}
|
||||
out = append(out, TableThreshold{
|
||||
ComparisonThreshold: ComparisonThreshold{
|
||||
Value: valueAt[float64](t, "thresholdValue"),
|
||||
Operator: mapV1ComparisonOperator(t["thresholdOperator"]),
|
||||
Unit: valueAt[string](t, "thresholdUnit"),
|
||||
Color: color,
|
||||
Format: mapV1ThresholdFormat(t["thresholdFormat"]),
|
||||
},
|
||||
ColumnName: columnName,
|
||||
})
|
||||
}
|
||||
if len(out) == 0 {
|
||||
return nil
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func mapV1ComparisonOperator(raw any) ComparisonOperator {
|
||||
s, _ := raw.(string)
|
||||
switch s {
|
||||
case ">":
|
||||
return ComparisonOperatorAbove
|
||||
case ">=":
|
||||
return ComparisonOperatorAboveOrEqual
|
||||
case "<":
|
||||
return ComparisonOperatorBelow
|
||||
case "<=":
|
||||
return ComparisonOperatorBelowOrEqual
|
||||
case "=":
|
||||
return ComparisonOperatorEqual
|
||||
case "!=":
|
||||
return ComparisonOperatorNotEqual
|
||||
}
|
||||
return ComparisonOperatorAbove
|
||||
}
|
||||
|
||||
func mapV1ThresholdFormat(raw any) ThresholdFormat {
|
||||
s, _ := raw.(string)
|
||||
switch strings.ToLower(s) {
|
||||
case "background":
|
||||
return ThresholdFormatBackground
|
||||
case "text":
|
||||
return ThresholdFormatText
|
||||
}
|
||||
return ThresholdFormatText
|
||||
}
|
||||
249
pkg/types/dashboardtypes/perses_v1_to_v2_queries.go
Normal file
249
pkg/types/dashboardtypes/perses_v1_to_v2_queries.go
Normal file
@@ -0,0 +1,249 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/errors"
|
||||
"github.com/SigNoz/signoz/pkg/transition"
|
||||
qb "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Queries
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1WidgetQuery returns exactly one Query (per Spec.Validate). The
|
||||
// kind chosen depends on the v1 widget query shape:
|
||||
// - single promql → signoz/PromQLQuery
|
||||
// - single clickhouse_sql → signoz/ClickHouseSQL
|
||||
// - exactly one builder query → signoz/BuilderQuery (PanelKindList only)
|
||||
// - everything else → signoz/CompositeQuery wrapping all envelopes
|
||||
//
|
||||
// Builder queries are routed through transition.WrapInV5Envelope, which
|
||||
// translates v4 builder-field names (orderBy/selectColumns/dataSource) into
|
||||
// their v5 equivalents and adds the `signal` field required by
|
||||
// BuilderQuerySpec's per-signal dispatch.
|
||||
func convertV1WidgetQuery(widget map[string]any, panelKind PanelPluginKind) []Query {
|
||||
envelopes, signal := collectV1QueryEnvelopes(widget)
|
||||
if len(envelopes) == 0 {
|
||||
return nil
|
||||
}
|
||||
requestType := requestTypeForPanel(panelKind)
|
||||
|
||||
// List panels must use signoz/BuilderQuery (the only kind in
|
||||
// allowedQueryKinds[PanelKindList]).
|
||||
if panelKind == PanelKindList {
|
||||
first := envelopes[0]
|
||||
if t, _ := first["type"].(string); t == string(qb.QueryTypeBuilder.StringValue()) {
|
||||
spec := parseBuilderQuerySpec(first["spec"], signal)
|
||||
if spec == nil {
|
||||
return nil
|
||||
}
|
||||
return []Query{{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Name: valueAt[string](first["spec"], "name"),
|
||||
Plugin: QueryPlugin{
|
||||
Kind: QueryKindBuilder,
|
||||
Spec: &BuilderQuerySpec{Spec: spec},
|
||||
},
|
||||
},
|
||||
}}
|
||||
}
|
||||
}
|
||||
|
||||
// Single non-builder query → use its native kind directly. Cleaner JSON
|
||||
// than wrapping in CompositeQuery for the common single-query case.
|
||||
if len(envelopes) == 1 {
|
||||
if q := singleQueryFromEnvelope(envelopes[0], requestType); q != nil {
|
||||
return []Query{*q}
|
||||
}
|
||||
}
|
||||
|
||||
// Default: wrap in CompositeQuery.
|
||||
composite, err := parseCompositeFromEnvelopes(envelopes)
|
||||
if err != nil || composite == nil {
|
||||
return nil
|
||||
}
|
||||
return []Query{{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Plugin: QueryPlugin{Kind: QueryKindComposite, Spec: composite},
|
||||
},
|
||||
}}
|
||||
}
|
||||
|
||||
// requestTypeForPanel maps a v2 panel plugin kind to the request type (result
|
||||
// shape) its queries produce. Mirrors the shape each visualization consumes:
|
||||
// time series for line/bar, scalar for number/pie/table, distribution for
|
||||
// histogram, raw rows for list.
|
||||
func requestTypeForPanel(panelKind PanelPluginKind) qb.RequestType {
|
||||
switch panelKind {
|
||||
case PanelKindTimeSeries, PanelKindBarChart:
|
||||
return qb.RequestTypeTimeSeries
|
||||
case PanelKindNumber, PanelKindPieChart, PanelKindTable:
|
||||
return qb.RequestTypeScalar
|
||||
case PanelKindHistogram:
|
||||
return qb.RequestTypeDistribution
|
||||
case PanelKindList:
|
||||
return qb.RequestTypeRaw
|
||||
}
|
||||
return qb.RequestTypeTimeSeries
|
||||
}
|
||||
|
||||
// collectV1QueryEnvelopes inspects widget.query.queryType and produces a
|
||||
// flattened list of v5-shaped envelopes. The returned signal is the dominant
|
||||
// builder signal (if any), used for typed builder-query dispatch.
|
||||
func collectV1QueryEnvelopes(widget map[string]any) ([]map[string]any, telemetrytypes.Signal) {
|
||||
queryMap, ok := widget["query"].(map[string]any)
|
||||
if !ok {
|
||||
return nil, telemetrytypes.Signal{}
|
||||
}
|
||||
queryType, _ := queryMap["queryType"].(string)
|
||||
|
||||
switch queryType {
|
||||
case "promql":
|
||||
var out []map[string]any
|
||||
for _, q := range readSliceOfMaps(queryMap["promql"]) {
|
||||
out = append(out, promQLEnvelope(q))
|
||||
}
|
||||
return out, telemetrytypes.Signal{}
|
||||
|
||||
case "clickhouse_sql":
|
||||
var out []map[string]any
|
||||
for _, q := range readSliceOfMaps(queryMap["clickhouse_sql"]) {
|
||||
out = append(out, clickhouseEnvelope(q))
|
||||
}
|
||||
return out, telemetrytypes.Signal{}
|
||||
|
||||
case "builder":
|
||||
builder, _ := queryMap["builder"].(map[string]any)
|
||||
if builder == nil {
|
||||
return nil, telemetrytypes.Signal{}
|
||||
}
|
||||
var out []map[string]any
|
||||
var signal telemetrytypes.Signal
|
||||
wrap := transition.NewMigrateCommon(nil)
|
||||
for _, q := range readSliceOfMaps(builder["queryData"]) {
|
||||
name := valueAt[string](q, "queryName")
|
||||
out = append(out, wrap.WrapInV5Envelope(name, q, string(qb.QueryTypeBuilder.StringValue())))
|
||||
if signal.IsZero() {
|
||||
signal = signalFromDataSource(q["dataSource"])
|
||||
}
|
||||
}
|
||||
for _, f := range readSliceOfMaps(builder["queryFormulas"]) {
|
||||
name := valueAt[string](f, "queryName")
|
||||
out = append(out, wrap.WrapInV5Envelope(name, f, string(qb.QueryTypeFormula.StringValue())))
|
||||
}
|
||||
for _, op := range readSliceOfMaps(builder["queryTraceOperator"]) {
|
||||
name := valueAt[string](op, "queryName")
|
||||
out = append(out, wrap.WrapInV5Envelope(name, op, string(qb.QueryTypeTraceOperator.StringValue())))
|
||||
}
|
||||
return out, signal
|
||||
}
|
||||
return nil, telemetrytypes.Signal{}
|
||||
}
|
||||
|
||||
func promQLEnvelope(q map[string]any) map[string]any {
|
||||
return map[string]any{
|
||||
"type": qb.QueryTypePromQL.StringValue(),
|
||||
"spec": map[string]any{
|
||||
"name": q["name"],
|
||||
"query": q["query"],
|
||||
"disabled": q["disabled"],
|
||||
"legend": q["legend"],
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
func clickhouseEnvelope(q map[string]any) map[string]any {
|
||||
return map[string]any{
|
||||
"type": qb.QueryTypeClickHouseSQL.StringValue(),
|
||||
"spec": map[string]any{
|
||||
"name": q["name"],
|
||||
"query": q["query"],
|
||||
"disabled": q["disabled"],
|
||||
"legend": q["legend"],
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
// singleQueryFromEnvelope returns a typed Query for an envelope whose type is
|
||||
// promql/clickhouse_sql. Builder envelopes always fall through to Composite so
|
||||
// composite-only panel kinds (TimeSeries/BarChart/etc.) get uniform queries.
|
||||
func singleQueryFromEnvelope(envelope map[string]any, requestType qb.RequestType) *Query {
|
||||
t, _ := envelope["type"].(string)
|
||||
spec, _ := envelope["spec"].(map[string]any)
|
||||
switch t {
|
||||
case qb.QueryTypePromQL.StringValue():
|
||||
prom, err := decodeMapInto[qb.PromQuery](spec)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
return &Query{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Name: prom.Name,
|
||||
Plugin: QueryPlugin{Kind: QueryKindPromQL, Spec: &prom},
|
||||
},
|
||||
}
|
||||
case qb.QueryTypeClickHouseSQL.StringValue():
|
||||
ch, err := decodeMapInto[qb.ClickHouseQuery](spec)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
return &Query{
|
||||
Kind: requestType,
|
||||
Spec: QuerySpec{
|
||||
Name: ch.Name,
|
||||
Plugin: QueryPlugin{Kind: QueryKindClickHouseSQL, Spec: &ch},
|
||||
},
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func parseCompositeFromEnvelopes(envelopes []map[string]any) (*CompositeQuerySpec, error) {
|
||||
bytes, err := json.Marshal(envelopes)
|
||||
if err != nil {
|
||||
return nil, errors.WrapInternalf(err, errors.CodeInternal, "marshal v1 query envelopes")
|
||||
}
|
||||
var parsed []qb.QueryEnvelope
|
||||
if err := json.Unmarshal(bytes, &parsed); err != nil {
|
||||
return nil, errors.WrapInvalidInputf(err, ErrCodeDashboardInvalidWidgetQuery, "decode v5 query envelopes")
|
||||
}
|
||||
return &CompositeQuerySpec{Queries: parsed}, nil
|
||||
}
|
||||
|
||||
func parseBuilderQuerySpec(rawSpec any, signal telemetrytypes.Signal) any {
|
||||
spec, ok := rawSpec.(map[string]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
if !signal.IsZero() {
|
||||
spec["signal"] = signal.StringValue()
|
||||
}
|
||||
bytes, err := json.Marshal(spec)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
parsed, err := qb.UnmarshalBuilderQueryBySignal(bytes)
|
||||
if err != nil {
|
||||
return nil
|
||||
}
|
||||
return parsed
|
||||
}
|
||||
|
||||
func signalFromDataSource(raw any) telemetrytypes.Signal {
|
||||
s, _ := raw.(string)
|
||||
switch s {
|
||||
case "traces":
|
||||
return telemetrytypes.SignalTraces
|
||||
case "logs":
|
||||
return telemetrytypes.SignalLogs
|
||||
case "metrics":
|
||||
return telemetrytypes.SignalMetrics
|
||||
}
|
||||
return telemetrytypes.Signal{}
|
||||
}
|
||||
110
pkg/types/dashboardtypes/perses_v1_to_v2_tags.go
Normal file
110
pkg/types/dashboardtypes/perses_v1_to_v2_tags.go
Normal file
@@ -0,0 +1,110 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"strings"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/coretypes"
|
||||
"github.com/SigNoz/signoz/pkg/types/tagtypes"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Tags
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// v1 carries tags as a flat []string; v2 tags are (key, value) pairs. Each v1
|
||||
// string is normalized into a pair following the rules in pkg/types/migration.md
|
||||
// (separator split, empty-side fallback, reserved-key prefix, `/` scrub). Tags
|
||||
// that normalize to the same (lower(key), lower(value)) within a dashboard are
|
||||
// collapsed, first occurrence winning the display casing.
|
||||
//
|
||||
// Characters still illegal after normalization (e.g. spaces) are left intact:
|
||||
// such tags fail tag validation downstream and are logged for the customer to
|
||||
// fix, per the migration's dry-run plan.
|
||||
|
||||
// defaultV1TagKey is the key assigned when a v1 tag string has no usable
|
||||
// separator (or one side of the split is empty).
|
||||
const defaultV1TagKey = "tag"
|
||||
|
||||
func convertV1TagsForOrg(orgID valuer.UUID, raw any) []*tagtypes.Tag {
|
||||
rawSlice, ok := raw.([]any)
|
||||
if !ok {
|
||||
return nil
|
||||
}
|
||||
seen := make(map[string]struct{}, len(rawSlice))
|
||||
out := make([]*tagtypes.Tag, 0, len(rawSlice))
|
||||
for _, item := range rawSlice {
|
||||
s, ok := item.(string)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
key, value, ok := normalizeV1Tag(s)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
dedupKey := strings.ToLower(key) + "\x00" + strings.ToLower(value)
|
||||
if _, dup := seen[dedupKey]; dup {
|
||||
continue
|
||||
}
|
||||
seen[dedupKey] = struct{}{}
|
||||
out = append(out, tagtypes.NewTag(orgID, coretypes.KindDashboard, key, value))
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
// normalizeV1Tag derives a (key, value) pair from one v1 tag string per the
|
||||
// ordered rules in pkg/types/migration.md. ok is false when the string has no
|
||||
// usable content (empty after trimming, or a bare separator).
|
||||
func normalizeV1Tag(s string) (string, string, bool) {
|
||||
s = strings.TrimSpace(s)
|
||||
if s == "" {
|
||||
return "", "", false
|
||||
}
|
||||
|
||||
var key, value string
|
||||
var ok bool
|
||||
switch {
|
||||
case strings.Contains(s, ":"):
|
||||
key, value, ok = splitV1Tag(s, ":")
|
||||
// Only the first ":" separates key from value; collapse the rest.
|
||||
value = strings.ReplaceAll(value, ":", "_")
|
||||
case strings.Contains(s, "/"):
|
||||
key, value, ok = splitV1Tag(s, "/")
|
||||
default:
|
||||
key, value, ok = defaultV1TagKey, s, true
|
||||
}
|
||||
if !ok {
|
||||
return "", "", false
|
||||
}
|
||||
|
||||
// Reserved-key collision: prefix with "_" so the list-query DSL stays
|
||||
// unambiguous. Matched case-insensitively against the DSL column names.
|
||||
if _, reserved := reservedDSLKeys[DSLKey(strings.ToLower(key))]; reserved {
|
||||
key = "_" + key
|
||||
}
|
||||
|
||||
// Stored tags must never contain "/" (input validation forbids it).
|
||||
key = strings.ReplaceAll(key, "/", "_")
|
||||
value = strings.ReplaceAll(value, "/", "_")
|
||||
|
||||
return key, value, true
|
||||
}
|
||||
|
||||
// splitV1Tag splits s at the first occurrence of sep, trimming each side. An
|
||||
// empty side collapses to the default key with the non-empty side as the value;
|
||||
// if both sides are empty (a bare separator) ok is false.
|
||||
func splitV1Tag(s, sep string) (string, string, bool) {
|
||||
left, right, _ := strings.Cut(s, sep)
|
||||
left = strings.TrimSpace(left)
|
||||
right = strings.TrimSpace(right)
|
||||
switch {
|
||||
case left == "" && right == "":
|
||||
return "", "", false
|
||||
case left == "":
|
||||
return defaultV1TagKey, right, true
|
||||
case right == "":
|
||||
return defaultV1TagKey, left, true
|
||||
default:
|
||||
return left, right, true
|
||||
}
|
||||
}
|
||||
766
pkg/types/dashboardtypes/perses_v1_to_v2_test.go
Normal file
766
pkg/types/dashboardtypes/perses_v1_to_v2_test.go
Normal file
@@ -0,0 +1,766 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types"
|
||||
"github.com/SigNoz/signoz/pkg/types/coretypes"
|
||||
qb "github.com/SigNoz/signoz/pkg/types/querybuildertypes/querybuildertypesv5"
|
||||
"github.com/SigNoz/signoz/pkg/valuer"
|
||||
"github.com/perses/spec/go/dashboard"
|
||||
"github.com/perses/spec/go/dashboard/variable"
|
||||
"github.com/stretchr/testify/assert"
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
func TestConvertV1TagsForOrg(t *testing.T) {
|
||||
orgID := valuer.GenerateUUID()
|
||||
|
||||
type kv struct{ key, value string }
|
||||
|
||||
cases := []struct {
|
||||
scenario string
|
||||
rawTags any
|
||||
expectedTags []kv
|
||||
}{
|
||||
{
|
||||
scenario: "no separator uses the default key",
|
||||
rawTags: []any{"apm", "latency", "throughput"},
|
||||
expectedTags: []kv{{"tag", "apm"}, {"tag", "latency"}, {"tag", "throughput"}},
|
||||
},
|
||||
{
|
||||
scenario: "colon splits into key and value",
|
||||
rawTags: []any{"env:prod", "team : backend"},
|
||||
expectedTags: []kv{{"env", "prod"}, {"team", "backend"}},
|
||||
},
|
||||
{
|
||||
scenario: "slash splits into key and value when no colon present",
|
||||
rawTags: []any{"team/backend"},
|
||||
expectedTags: []kv{{"team", "backend"}},
|
||||
},
|
||||
{
|
||||
scenario: "colon takes precedence over slash and slash is scrubbed",
|
||||
rawTags: []any{"team/eng:prod", "team/eng:my/path"},
|
||||
expectedTags: []kv{{"team_eng", "prod"}, {"team_eng", "my_path"}},
|
||||
},
|
||||
{
|
||||
scenario: "empty left side falls back to the default key",
|
||||
rawTags: []any{":prod"},
|
||||
expectedTags: []kv{{"tag", "prod"}},
|
||||
},
|
||||
{
|
||||
scenario: "empty right side keeps the left side as the value",
|
||||
rawTags: []any{"env:"},
|
||||
expectedTags: []kv{{"tag", "env"}},
|
||||
},
|
||||
{
|
||||
scenario: "extra colons in the value collapse to underscores",
|
||||
rawTags: []any{"a:b:c"},
|
||||
expectedTags: []kv{{"a", "b_c"}},
|
||||
},
|
||||
{
|
||||
scenario: "extra slashes in the value are scrubbed",
|
||||
rawTags: []any{"a/b/c"},
|
||||
expectedTags: []kv{{"a", "b_c"}},
|
||||
},
|
||||
{
|
||||
scenario: "reserved key gets an underscore prefix",
|
||||
rawTags: []any{"name:foo", "Source:bar"},
|
||||
expectedTags: []kv{{"_name", "foo"}, {"_Source", "bar"}},
|
||||
},
|
||||
{
|
||||
scenario: "drops empty, whitespace-only, and bare-separator entries",
|
||||
rawTags: []any{"", " ", ":", "/", "apm"},
|
||||
expectedTags: []kv{{"tag", "apm"}},
|
||||
},
|
||||
{
|
||||
scenario: "dedupes case-insensitive duplicates, first casing wins",
|
||||
rawTags: []any{"Env:Prod", "env:PROD"},
|
||||
expectedTags: []kv{{"Env", "Prod"}},
|
||||
},
|
||||
{
|
||||
scenario: "returns nil for missing tags field",
|
||||
rawTags: nil,
|
||||
expectedTags: nil,
|
||||
},
|
||||
{
|
||||
scenario: "ignores non-string elements",
|
||||
rawTags: []any{"apm", 42, true, "logs"},
|
||||
expectedTags: []kv{{"tag", "apm"}, {"tag", "logs"}},
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range cases {
|
||||
t.Run(tc.scenario, func(t *testing.T) {
|
||||
tags := convertV1TagsForOrg(orgID, tc.rawTags)
|
||||
require.Len(t, tags, len(tc.expectedTags))
|
||||
for i, expected := range tc.expectedTags {
|
||||
assert.Equal(t, expected.key, tags[i].Key)
|
||||
assert.Equal(t, expected.value, tags[i].Value)
|
||||
assert.Equal(t, orgID, tags[i].OrgID)
|
||||
assert.Equal(t, coretypes.KindDashboard, tags[i].Kind)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestConvertGraphWidgetToTimeSeriesPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "widget-1",
|
||||
"panelTypes": "graph",
|
||||
"title": "Request rate",
|
||||
"description": "RPS over time",
|
||||
"timePreferance": "LAST_1_HR",
|
||||
"fillSpans": true,
|
||||
"yAxisUnit": "reqps",
|
||||
"decimalPrecision": float64(3),
|
||||
"lineInterpolation": "linear",
|
||||
"lineStyle": "dashed",
|
||||
"fillMode": "gradient",
|
||||
"showPoints": true,
|
||||
"spanGaps": float64(60),
|
||||
"softMin": float64(0),
|
||||
"softMax": float64(100),
|
||||
"isLogScale": true,
|
||||
"legendPosition": "right",
|
||||
"customLegendColors": map[string]any{"A": "#ff0000", "B": "#00ff00"},
|
||||
"thresholds": []any{
|
||||
map[string]any{
|
||||
"thresholdValue": float64(90),
|
||||
"thresholdUnit": "reqps",
|
||||
"thresholdColor": "#ff0000",
|
||||
"thresholdLabel": "high",
|
||||
},
|
||||
map[string]any{
|
||||
"thresholdValue": float64(50),
|
||||
"thresholdColor": "", // missing — must be dropped
|
||||
"thresholdLabel": "missing-color",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertGraphWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
|
||||
assert.Equal(t, PanelKindPanel, panel.Kind)
|
||||
assert.Equal(t, "Request rate", panel.Spec.Display.Name)
|
||||
assert.Equal(t, "RPS over time", panel.Spec.Display.Description)
|
||||
|
||||
assert.Equal(t, PanelKindTimeSeries, panel.Spec.Plugin.Kind)
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*TimeSeriesPanelSpec)
|
||||
require.True(t, ok, "panel plugin spec should be *TimeSeriesPanelSpec")
|
||||
|
||||
assert.Equal(t, TimePreferenceLast1Hr, spec.Visualization.TimePreference)
|
||||
assert.True(t, spec.Visualization.FillSpans)
|
||||
|
||||
assert.Equal(t, "reqps", spec.Formatting.Unit)
|
||||
assert.Equal(t, PrecisionOption3, spec.Formatting.DecimalPrecision)
|
||||
|
||||
assert.Equal(t, LineInterpolationLinear, spec.ChartAppearance.LineInterpolation)
|
||||
assert.True(t, spec.ChartAppearance.ShowPoints)
|
||||
assert.Equal(t, LineStyleDashed, spec.ChartAppearance.LineStyle)
|
||||
assert.Equal(t, FillModeGradient, spec.ChartAppearance.FillMode)
|
||||
assert.True(t, spec.ChartAppearance.SpanGaps.FillOnlyBelow)
|
||||
assert.Equal(t, "1m0s", spec.ChartAppearance.SpanGaps.FillLessThan.StringValue())
|
||||
|
||||
require.NotNil(t, spec.Axes.SoftMin)
|
||||
assert.Equal(t, float64(0), *spec.Axes.SoftMin)
|
||||
require.NotNil(t, spec.Axes.SoftMax)
|
||||
assert.Equal(t, float64(100), *spec.Axes.SoftMax)
|
||||
assert.True(t, spec.Axes.IsLogScale)
|
||||
|
||||
assert.Equal(t, LegendPositionRight, spec.Legend.Position)
|
||||
assert.Equal(t, map[string]string{"A": "#ff0000", "B": "#00ff00"}, spec.Legend.CustomColors)
|
||||
|
||||
require.Len(t, spec.Thresholds, 1, "threshold with missing color should be dropped")
|
||||
assert.Equal(t, ThresholdWithLabel{Value: 90, Unit: "reqps", Color: "#ff0000", Label: "high"}, spec.Thresholds[0])
|
||||
}
|
||||
|
||||
func TestConvertGraphWidgetDefaultsForMissingFields(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "widget-1",
|
||||
"panelTypes": "graph",
|
||||
"title": "minimal",
|
||||
}
|
||||
|
||||
panel := convertGraphWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*TimeSeriesPanelSpec)
|
||||
require.True(t, ok)
|
||||
|
||||
assert.Equal(t, TimePreferenceGlobalTime, spec.Visualization.TimePreference)
|
||||
assert.Equal(t, PrecisionOption2, spec.Formatting.DecimalPrecision)
|
||||
assert.Equal(t, LineInterpolationSpline, spec.ChartAppearance.LineInterpolation)
|
||||
assert.Equal(t, LineStyleSolid, spec.ChartAppearance.LineStyle)
|
||||
assert.Equal(t, FillModeSolid, spec.ChartAppearance.FillMode)
|
||||
assert.Equal(t, LegendPositionBottom, spec.Legend.Position)
|
||||
assert.False(t, spec.ChartAppearance.SpanGaps.FillOnlyBelow)
|
||||
assert.Nil(t, spec.Axes.SoftMin)
|
||||
assert.Nil(t, spec.Axes.SoftMax)
|
||||
assert.Empty(t, spec.Thresholds)
|
||||
}
|
||||
|
||||
func TestConvertV1ToV2HappyPath(t *testing.T) {
|
||||
orgID := valuer.GenerateUUID()
|
||||
storable := &StorableDashboard{
|
||||
Identifiable: types.Identifiable{ID: valuer.GenerateUUID()},
|
||||
TimeAuditable: types.TimeAuditable{CreatedAt: time.Now(), UpdatedAt: time.Now()},
|
||||
UserAuditable: types.UserAuditable{CreatedBy: "alice", UpdatedBy: "bob"},
|
||||
OrgID: orgID,
|
||||
Source: SourceUser,
|
||||
Name: "apm-metrics",
|
||||
Data: StorableDashboardData{
|
||||
"title": "APM Metrics",
|
||||
"description": "service overview",
|
||||
"image": "data:image/png;base64,abc",
|
||||
"tags": []any{"apm", "team:platform"},
|
||||
"widgets": []any{
|
||||
// section header — owned by the layout pass, not a panel
|
||||
map[string]any{"id": "row-1", "panelTypes": "row", "title": "Overview"},
|
||||
// graph widget → TimeSeries panel
|
||||
map[string]any{
|
||||
"id": "panel-1",
|
||||
"panelTypes": "graph",
|
||||
"title": "Latency",
|
||||
},
|
||||
// table widget → Table panel
|
||||
map[string]any{"id": "panel-2", "panelTypes": "table"},
|
||||
// widget with missing id — dropped
|
||||
map[string]any{"panelTypes": "graph", "title": "no id"},
|
||||
// unknown panel kind — silently dropped
|
||||
map[string]any{"id": "panel-3", "panelTypes": "totally-new"},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
dashboard, err := storable.ConvertV1ToV2()
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, dashboard)
|
||||
|
||||
assert.Equal(t, storable.ID, dashboard.ID)
|
||||
assert.Equal(t, storable.OrgID, dashboard.OrgID)
|
||||
assert.Equal(t, storable.Source, dashboard.Source)
|
||||
assert.Equal(t, storable.Name, dashboard.Name)
|
||||
assert.Equal(t, SchemaVersion, dashboard.SchemaVersion)
|
||||
assert.Equal(t, "data:image/png;base64,abc", dashboard.Image)
|
||||
|
||||
assert.Equal(t, "APM Metrics", dashboard.Spec.Display.Name)
|
||||
assert.Equal(t, "service overview", dashboard.Spec.Display.Description)
|
||||
|
||||
require.Len(t, dashboard.Tags, 2)
|
||||
assert.Equal(t, "tag", dashboard.Tags[0].Key)
|
||||
assert.Equal(t, "apm", dashboard.Tags[0].Value)
|
||||
assert.Equal(t, "team", dashboard.Tags[1].Key)
|
||||
assert.Equal(t, "platform", dashboard.Tags[1].Value)
|
||||
|
||||
require.Len(t, dashboard.Spec.Panels, 2, "graph and table map; row, no-id, and unknown kinds are dropped")
|
||||
require.Contains(t, dashboard.Spec.Panels, "panel-1")
|
||||
require.Contains(t, dashboard.Spec.Panels, "panel-2")
|
||||
assert.Equal(t, PanelKindTimeSeries, dashboard.Spec.Panels["panel-1"].Spec.Plugin.Kind)
|
||||
assert.Equal(t, PanelKindTable, dashboard.Spec.Panels["panel-2"].Spec.Plugin.Kind)
|
||||
}
|
||||
|
||||
func TestConvertV1ToV2RejectsAlreadyV2(t *testing.T) {
|
||||
storable := &StorableDashboard{
|
||||
Identifiable: types.Identifiable{ID: valuer.GenerateUUID()},
|
||||
OrgID: valuer.GenerateUUID(),
|
||||
Source: SourceUser,
|
||||
Name: "already-v2",
|
||||
Data: StorableDashboardData{
|
||||
"metadata": map[string]any{"schemaVersion": SchemaVersion},
|
||||
"spec": map[string]any{},
|
||||
},
|
||||
}
|
||||
|
||||
dashboard, err := storable.ConvertV1ToV2()
|
||||
assert.Nil(t, dashboard)
|
||||
require.Error(t, err)
|
||||
assert.Contains(t, err.Error(), "already in")
|
||||
}
|
||||
|
||||
func TestSpanGapsMapping(t *testing.T) {
|
||||
cases := []struct {
|
||||
scenario string
|
||||
rawSpanGaps any
|
||||
expectedFillOnlyBelow bool
|
||||
expectedFillLessThan string
|
||||
}{
|
||||
{scenario: "true spans every gap", rawSpanGaps: true, expectedFillOnlyBelow: false, expectedFillLessThan: "0s"},
|
||||
{scenario: "false spans no gaps", rawSpanGaps: false, expectedFillOnlyBelow: true, expectedFillLessThan: "0s"},
|
||||
{scenario: "number is seconds threshold", rawSpanGaps: float64(30), expectedFillOnlyBelow: true, expectedFillLessThan: "30s"},
|
||||
{scenario: "missing defaults to span all", rawSpanGaps: nil, expectedFillOnlyBelow: false, expectedFillLessThan: "0s"},
|
||||
}
|
||||
|
||||
for _, tc := range cases {
|
||||
t.Run(tc.scenario, func(t *testing.T) {
|
||||
got := mapV1SpanGaps(tc.rawSpanGaps)
|
||||
assert.Equal(t, tc.expectedFillOnlyBelow, got.FillOnlyBelow)
|
||||
assert.Equal(t, tc.expectedFillLessThan, got.FillLessThan.StringValue())
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Other panel-kind converters
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertBarWidgetToBarChartPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "bar-1",
|
||||
"panelTypes": "bar",
|
||||
"title": "Requests by status",
|
||||
"fillSpans": true,
|
||||
"stackedBarChart": true,
|
||||
"yAxisUnit": "reqps",
|
||||
"softMin": float64(0),
|
||||
"isLogScale": true,
|
||||
"legendPosition": "right",
|
||||
}
|
||||
|
||||
panel := convertBarWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindBarChart, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*BarChartPanelSpec)
|
||||
require.True(t, ok)
|
||||
assert.True(t, spec.Visualization.FillSpans)
|
||||
assert.True(t, spec.Visualization.StackedBarChart)
|
||||
assert.Equal(t, "reqps", spec.Formatting.Unit)
|
||||
require.NotNil(t, spec.Axes.SoftMin)
|
||||
assert.Equal(t, float64(0), *spec.Axes.SoftMin)
|
||||
assert.True(t, spec.Axes.IsLogScale)
|
||||
assert.Equal(t, LegendPositionRight, spec.Legend.Position)
|
||||
}
|
||||
|
||||
func TestConvertValueWidgetToNumberPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "val-1",
|
||||
"panelTypes": "value",
|
||||
"title": "Active services",
|
||||
"yAxisUnit": "count",
|
||||
"thresholds": []any{
|
||||
map[string]any{
|
||||
"thresholdValue": float64(100),
|
||||
"thresholdOperator": ">=",
|
||||
"thresholdColor": "#ff0000",
|
||||
"thresholdFormat": "Background",
|
||||
"thresholdUnit": "count",
|
||||
},
|
||||
map[string]any{
|
||||
// missing color — must be dropped
|
||||
"thresholdValue": float64(10),
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertValueWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindNumber, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*NumberPanelSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, spec.Thresholds, 1)
|
||||
assert.Equal(t, float64(100), spec.Thresholds[0].Value)
|
||||
assert.Equal(t, ComparisonOperatorAboveOrEqual, spec.Thresholds[0].Operator)
|
||||
assert.Equal(t, "#ff0000", spec.Thresholds[0].Color)
|
||||
assert.Equal(t, ThresholdFormatBackground, spec.Thresholds[0].Format)
|
||||
}
|
||||
|
||||
func TestConvertTableWidgetToTablePanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "tbl-1",
|
||||
"panelTypes": "table",
|
||||
"title": "Top services",
|
||||
"columnUnits": map[string]any{
|
||||
"latency": "ms",
|
||||
"errors": "count",
|
||||
},
|
||||
"thresholds": []any{
|
||||
map[string]any{
|
||||
"thresholdValue": float64(500),
|
||||
"thresholdColor": "#ff0000",
|
||||
"thresholdTableOptions": "latency",
|
||||
"thresholdOperator": ">",
|
||||
},
|
||||
map[string]any{
|
||||
// missing columnName — dropped
|
||||
"thresholdValue": float64(1),
|
||||
"thresholdColor": "#00ff00",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertTableWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindTable, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*TablePanelSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "ms", spec.Formatting.ColumnUnits["latency"])
|
||||
assert.Equal(t, "count", spec.Formatting.ColumnUnits["errors"])
|
||||
require.Len(t, spec.Thresholds, 1)
|
||||
assert.Equal(t, "latency", spec.Thresholds[0].ColumnName)
|
||||
assert.Equal(t, ComparisonOperatorAbove, spec.Thresholds[0].Operator)
|
||||
}
|
||||
|
||||
func TestConvertPieWidgetToPieChartPanel(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "pie-1",
|
||||
"panelTypes": "pie",
|
||||
"title": "Share",
|
||||
"legendPosition": "right",
|
||||
}
|
||||
|
||||
panel := convertPieWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindPieChart, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*PieChartPanelSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, LegendPositionRight, spec.Legend.Position)
|
||||
}
|
||||
|
||||
func TestConvertHistogramWidget(t *testing.T) {
|
||||
bucketCount := float64(20)
|
||||
widget := map[string]any{
|
||||
"id": "hist-1",
|
||||
"panelTypes": "histogram",
|
||||
"title": "Latency distribution",
|
||||
"bucketCount": bucketCount,
|
||||
"mergeAllActiveQueries": true,
|
||||
}
|
||||
|
||||
panel := convertHistogramWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindHistogram, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*HistogramPanelSpec)
|
||||
require.True(t, ok)
|
||||
require.NotNil(t, spec.HistogramBuckets.BucketCount)
|
||||
assert.Equal(t, bucketCount, *spec.HistogramBuckets.BucketCount)
|
||||
assert.Nil(t, spec.HistogramBuckets.BucketWidth)
|
||||
assert.True(t, spec.HistogramBuckets.MergeAllActiveQueries)
|
||||
}
|
||||
|
||||
func TestConvertListWidget(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "list-1",
|
||||
"panelTypes": "list",
|
||||
"title": "Recent logs",
|
||||
"selectedLogFields": []any{
|
||||
map[string]any{"name": "body", "fieldDataType": "string", "fieldContext": "log"},
|
||||
map[string]any{"name": "severity_text", "fieldDataType": "string", "fieldContext": "log"},
|
||||
},
|
||||
}
|
||||
|
||||
panel := convertListWidget(widget)
|
||||
require.NotNil(t, panel)
|
||||
assert.Equal(t, PanelKindList, panel.Spec.Plugin.Kind)
|
||||
|
||||
spec, ok := panel.Spec.Plugin.Spec.(*ListPanelSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, spec.SelectFields, 2)
|
||||
assert.Equal(t, "body", spec.SelectFields[0].Name)
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Query translation
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertV1WidgetQuerySinglePromQL(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "p-1",
|
||||
"panelTypes": "graph",
|
||||
"query": map[string]any{
|
||||
"queryType": "promql",
|
||||
"promql": []any{
|
||||
map[string]any{"name": "A", "query": "up", "legend": "{{job}}"},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTimeSeries)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeTimeSeries, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindPromQL, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
prom, ok := queries[0].Spec.Plugin.Spec.(*qb.PromQuery)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "A", prom.Name)
|
||||
assert.Equal(t, "up", prom.Query)
|
||||
assert.Equal(t, "{{job}}", prom.Legend)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQuerySingleClickHouse(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "c-1",
|
||||
"panelTypes": "table",
|
||||
"query": map[string]any{
|
||||
"queryType": "clickhouse_sql",
|
||||
"clickhouse_sql": []any{
|
||||
map[string]any{"name": "Q", "query": "SELECT 1", "legend": "x"},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTable)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeScalar, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindClickHouseSQL, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
ch, ok := queries[0].Spec.Plugin.Spec.(*qb.ClickHouseQuery)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "Q", ch.Name)
|
||||
assert.Equal(t, "SELECT 1", ch.Query)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQueryMultipleBuilderWrapsInComposite(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "b-1",
|
||||
"panelTypes": "graph",
|
||||
"query": map[string]any{
|
||||
"queryType": "builder",
|
||||
"builder": map[string]any{
|
||||
"queryData": []any{
|
||||
map[string]any{
|
||||
"queryName": "A",
|
||||
"expression": "A",
|
||||
"dataSource": "metrics",
|
||||
"aggregations": []any{map[string]any{"metricName": "signoz_calls_total"}},
|
||||
},
|
||||
map[string]any{
|
||||
"queryName": "B",
|
||||
"expression": "B",
|
||||
"dataSource": "logs",
|
||||
"aggregations": []any{map[string]any{"expression": "count()"}},
|
||||
},
|
||||
},
|
||||
"queryFormulas": []any{
|
||||
map[string]any{"queryName": "F1", "expression": "A + B"},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTimeSeries)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeTimeSeries, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindComposite, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
composite, ok := queries[0].Spec.Plugin.Spec.(*CompositeQuerySpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, composite.Queries, 3)
|
||||
assert.Equal(t, qb.QueryTypeBuilder, composite.Queries[0].Type)
|
||||
assert.Equal(t, qb.QueryTypeBuilder, composite.Queries[1].Type)
|
||||
assert.Equal(t, qb.QueryTypeFormula, composite.Queries[2].Type)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQueryListPanelUsesBuilderDirectly(t *testing.T) {
|
||||
widget := map[string]any{
|
||||
"id": "l-1",
|
||||
"panelTypes": "list",
|
||||
"query": map[string]any{
|
||||
"queryType": "builder",
|
||||
"builder": map[string]any{
|
||||
"queryData": []any{
|
||||
map[string]any{
|
||||
"queryName": "A",
|
||||
"expression": "A",
|
||||
"dataSource": "logs",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
queries := convertV1WidgetQuery(widget, PanelKindList)
|
||||
require.Len(t, queries, 1)
|
||||
assert.Equal(t, qb.RequestTypeRaw, queries[0].Kind)
|
||||
assert.Equal(t, QueryKindBuilder, queries[0].Spec.Plugin.Kind)
|
||||
|
||||
wrapper, ok := queries[0].Spec.Plugin.Spec.(*BuilderQuerySpec)
|
||||
require.True(t, ok)
|
||||
spec, ok := wrapper.Spec.(qb.QueryBuilderQuery[qb.LogAggregation])
|
||||
require.True(t, ok, "list builder query should dispatch to LogAggregation, got %T", wrapper.Spec)
|
||||
assert.Equal(t, "A", spec.Name)
|
||||
}
|
||||
|
||||
func TestConvertV1WidgetQueryNoQuery(t *testing.T) {
|
||||
widget := map[string]any{"id": "x", "panelTypes": "graph"}
|
||||
queries := convertV1WidgetQuery(widget, PanelKindTimeSeries)
|
||||
assert.Nil(t, queries)
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Layouts and sections
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertV1LayoutsRootOnly(t *testing.T) {
|
||||
data := StorableDashboardData{
|
||||
"layout": []any{
|
||||
map[string]any{"i": "p-1", "x": float64(0), "y": float64(0), "w": float64(6), "h": float64(6)},
|
||||
map[string]any{"i": "p-2", "x": float64(6), "y": float64(0), "w": float64(6), "h": float64(6)},
|
||||
},
|
||||
"widgets": []any{
|
||||
map[string]any{"id": "p-1", "panelTypes": "graph"},
|
||||
map[string]any{"id": "p-2", "panelTypes": "graph"},
|
||||
},
|
||||
}
|
||||
|
||||
layouts := convertV1Layouts(data)
|
||||
require.Len(t, layouts, 1)
|
||||
assert.Equal(t, dashboard.KindGridLayout, layouts[0].Kind)
|
||||
|
||||
spec, ok := layouts[0].Spec.(*dashboard.GridLayoutSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, spec.Items, 2)
|
||||
assert.Equal(t, "#/spec/panels/p-1", spec.Items[0].Content.Ref)
|
||||
assert.Equal(t, 6, spec.Items[1].Width)
|
||||
assert.Nil(t, spec.Display, "root-only grid should have no display block")
|
||||
}
|
||||
|
||||
func TestConvertV1LayoutsWithCollapsedSection(t *testing.T) {
|
||||
data := StorableDashboardData{
|
||||
"widgets": []any{
|
||||
map[string]any{"id": "row-1", "panelTypes": "row", "title": "Latency"},
|
||||
map[string]any{"id": "p-1", "panelTypes": "graph"},
|
||||
map[string]any{"id": "p-2", "panelTypes": "graph"},
|
||||
},
|
||||
"layout": []any{
|
||||
map[string]any{"i": "row-1", "x": float64(0), "y": float64(0), "w": float64(12), "h": float64(1)},
|
||||
map[string]any{"i": "p-1", "x": float64(0), "y": float64(1), "w": float64(6), "h": float64(6)},
|
||||
map[string]any{"i": "p-2", "x": float64(0), "y": float64(7), "w": float64(6), "h": float64(6)},
|
||||
},
|
||||
"panelMap": map[string]any{
|
||||
"row-1": map[string]any{
|
||||
"collapsed": true,
|
||||
"widgets": []any{
|
||||
map[string]any{"i": "p-1", "x": float64(0), "y": float64(1), "w": float64(6), "h": float64(6)},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
layouts := convertV1Layouts(data)
|
||||
require.Len(t, layouts, 2, "one root grid (p-2) + one section grid (row-1 with p-1)")
|
||||
|
||||
rootSpec, ok := layouts[0].Spec.(*dashboard.GridLayoutSpec)
|
||||
require.True(t, ok)
|
||||
require.Len(t, rootSpec.Items, 1)
|
||||
assert.Equal(t, "#/spec/panels/p-2", rootSpec.Items[0].Content.Ref)
|
||||
assert.Nil(t, rootSpec.Display)
|
||||
|
||||
sectionSpec, ok := layouts[1].Spec.(*dashboard.GridLayoutSpec)
|
||||
require.True(t, ok)
|
||||
require.NotNil(t, sectionSpec.Display)
|
||||
assert.Equal(t, "Latency", sectionSpec.Display.Title)
|
||||
require.NotNil(t, sectionSpec.Display.Collapse)
|
||||
assert.False(t, sectionSpec.Display.Collapse.Open, "collapsed=true → open=false")
|
||||
require.Len(t, sectionSpec.Items, 1)
|
||||
assert.Equal(t, "#/spec/panels/p-1", sectionSpec.Items[0].Content.Ref)
|
||||
}
|
||||
|
||||
func TestConvertV1LayoutsEmpty(t *testing.T) {
|
||||
assert.Nil(t, convertV1Layouts(StorableDashboardData{}))
|
||||
}
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Variables
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
func TestConvertV1VariablesAllTypes(t *testing.T) {
|
||||
raw := map[string]any{
|
||||
"u-1": map[string]any{
|
||||
"name": "service.name",
|
||||
"description": "the service",
|
||||
"type": "QUERY",
|
||||
"queryValue": "SELECT name FROM s",
|
||||
"multiSelect": true,
|
||||
"showALLOption": true,
|
||||
"sort": "ASC",
|
||||
"order": float64(1),
|
||||
},
|
||||
"u-2": map[string]any{
|
||||
"name": "env",
|
||||
"type": "CUSTOM",
|
||||
"customValue": "prod,staging,dev",
|
||||
"order": float64(2),
|
||||
"selectedValue": "prod",
|
||||
},
|
||||
"u-3": map[string]any{
|
||||
"name": "deployment.environment",
|
||||
"type": "DYNAMIC",
|
||||
"dynamicVariablesAttribute": "deployment.environment",
|
||||
"dynamicVariablesSource": "traces",
|
||||
"order": float64(0),
|
||||
},
|
||||
"u-4": map[string]any{
|
||||
"name": "freetext",
|
||||
"type": "TEXTBOX",
|
||||
"textboxValue": "hello",
|
||||
"order": float64(3),
|
||||
},
|
||||
}
|
||||
|
||||
vars := convertV1Variables(raw)
|
||||
require.Len(t, vars, 4)
|
||||
|
||||
// Ordered by `order` ascending: u-3 (0), u-1 (1), u-2 (2), u-4 (3)
|
||||
assert.Equal(t, variable.KindList, vars[0].Kind)
|
||||
dyn, ok := vars[0].Spec.(*ListVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "deployment.environment", dyn.Name)
|
||||
assert.Equal(t, VariableKindDynamic, dyn.Plugin.Kind)
|
||||
|
||||
q, ok := vars[1].Spec.(*ListVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "service.name", q.Name)
|
||||
assert.Equal(t, VariableKindQuery, q.Plugin.Kind)
|
||||
assert.True(t, q.AllowMultiple)
|
||||
assert.True(t, q.AllowAllValue)
|
||||
require.NotNil(t, q.Sort)
|
||||
assert.Equal(t, variable.SortAlphabeticalAsc, *q.Sort)
|
||||
|
||||
c, ok := vars[2].Spec.(*ListVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "env", c.Name)
|
||||
assert.Equal(t, VariableKindCustom, c.Plugin.Kind)
|
||||
require.NotNil(t, c.DefaultValue)
|
||||
assert.Equal(t, "prod", c.DefaultValue.SingleValue)
|
||||
|
||||
assert.Equal(t, variable.KindText, vars[3].Kind)
|
||||
text, ok := vars[3].Spec.(*dashboard.TextVariableSpec)
|
||||
require.True(t, ok)
|
||||
assert.Equal(t, "freetext", text.Name)
|
||||
assert.Equal(t, "hello", text.Value)
|
||||
}
|
||||
|
||||
func TestConvertV1VariablesSkipsUnnamedAndUnknownTypes(t *testing.T) {
|
||||
raw := map[string]any{
|
||||
"u-1": map[string]any{"name": "", "type": "QUERY"},
|
||||
"u-2": map[string]any{"name": "ok", "type": "WHATEVER"},
|
||||
"u-3": map[string]any{"name": "good", "type": "CUSTOM", "customValue": "a"},
|
||||
}
|
||||
vars := convertV1Variables(raw)
|
||||
require.Len(t, vars, 1)
|
||||
spec := vars[0].Spec.(*ListVariableSpec)
|
||||
assert.Equal(t, "good", spec.Name)
|
||||
}
|
||||
|
||||
func TestConvertV1VariablesDefaultFromSelectedSlice(t *testing.T) {
|
||||
raw := map[string]any{
|
||||
"u-1": map[string]any{
|
||||
"name": "svc",
|
||||
"type": "QUERY",
|
||||
"queryValue": "SELECT 1",
|
||||
"selectedValue": []any{"foo", "", "bar"},
|
||||
},
|
||||
}
|
||||
vars := convertV1Variables(raw)
|
||||
require.Len(t, vars, 1)
|
||||
spec := vars[0].Spec.(*ListVariableSpec)
|
||||
require.NotNil(t, spec.DefaultValue)
|
||||
assert.Equal(t, []string{"foo", "bar"}, spec.DefaultValue.SliceValues)
|
||||
}
|
||||
170
pkg/types/dashboardtypes/perses_v1_to_v2_variables.go
Normal file
170
pkg/types/dashboardtypes/perses_v1_to_v2_variables.go
Normal file
@@ -0,0 +1,170 @@
|
||||
package dashboardtypes
|
||||
|
||||
import (
|
||||
"sort"
|
||||
|
||||
"github.com/perses/spec/go/dashboard"
|
||||
"github.com/perses/spec/go/dashboard/variable"
|
||||
)
|
||||
|
||||
// ══════════════════════════════════════════════
|
||||
// Variables
|
||||
// ══════════════════════════════════════════════
|
||||
|
||||
// convertV1Variables walks the v1 `variables` map (UUID-keyed) and produces an
|
||||
// ordered []Variable. Variables sort by `order` first, then by id for stable
|
||||
// output. v1 variable types map as follows:
|
||||
//
|
||||
// QUERY → ListVariable + signoz/QueryVariable
|
||||
// CUSTOM → ListVariable + signoz/CustomVariable
|
||||
// DYNAMIC → ListVariable + signoz/DynamicVariable
|
||||
// TEXTBOX → TextVariable
|
||||
func convertV1Variables(raw any) []Variable {
|
||||
rawMap, ok := raw.(map[string]any)
|
||||
if !ok || len(rawMap) == 0 {
|
||||
return nil
|
||||
}
|
||||
type ordered struct {
|
||||
key string
|
||||
val map[string]any
|
||||
ord float64
|
||||
}
|
||||
entries := make([]ordered, 0, len(rawMap))
|
||||
for key, value := range rawMap {
|
||||
m, ok := value.(map[string]any)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
ord, _ := m["order"].(float64)
|
||||
entries = append(entries, ordered{key: key, val: m, ord: ord})
|
||||
}
|
||||
sort.SliceStable(entries, func(i, j int) bool {
|
||||
if entries[i].ord != entries[j].ord {
|
||||
return entries[i].ord < entries[j].ord
|
||||
}
|
||||
return entries[i].key < entries[j].key
|
||||
})
|
||||
|
||||
out := make([]Variable, 0, len(entries))
|
||||
for _, e := range entries {
|
||||
v, ok := convertV1Variable(e.val)
|
||||
if !ok {
|
||||
continue
|
||||
}
|
||||
out = append(out, v)
|
||||
}
|
||||
return out
|
||||
}
|
||||
|
||||
func convertV1Variable(v map[string]any) (Variable, bool) {
|
||||
name, _ := v["name"].(string)
|
||||
if name == "" {
|
||||
return Variable{}, false
|
||||
}
|
||||
description, _ := v["description"].(string)
|
||||
kind, _ := v["type"].(string)
|
||||
|
||||
switch kind {
|
||||
case "TEXTBOX":
|
||||
value, _ := v["textboxValue"].(string)
|
||||
spec := &dashboard.TextVariableSpec{
|
||||
TextSpec: variable.TextSpec{
|
||||
Display: &variable.Display{Name: name, Description: description},
|
||||
Value: value,
|
||||
},
|
||||
Name: name,
|
||||
}
|
||||
return Variable{Kind: variable.KindText, Spec: spec}, true
|
||||
|
||||
case "QUERY", "CUSTOM", "DYNAMIC":
|
||||
listSpec := &ListVariableSpec{
|
||||
Display: Display{Name: name, Description: description},
|
||||
AllowAllValue: valueAt[bool](v, "showALLOption"),
|
||||
AllowMultiple: valueAt[bool](v, "multiSelect"),
|
||||
CustomAllValue: valueAt[string](v, "customAllValue"),
|
||||
CapturingRegexp: valueAt[string](v, "capturingRegexp"),
|
||||
Sort: mapV1Sort(v["sort"]),
|
||||
Plugin: variablePluginFor(kind, v),
|
||||
Name: name,
|
||||
}
|
||||
if dv := mapV1VariableDefault(v); dv != nil {
|
||||
listSpec.DefaultValue = dv
|
||||
}
|
||||
return Variable{Kind: variable.KindList, Spec: listSpec}, true
|
||||
}
|
||||
|
||||
return Variable{}, false
|
||||
}
|
||||
|
||||
func variablePluginFor(kind string, v map[string]any) VariablePlugin {
|
||||
switch kind {
|
||||
case "QUERY":
|
||||
return VariablePlugin{
|
||||
Kind: VariableKindQuery,
|
||||
Spec: &QueryVariableSpec{QueryValue: valueAt[string](v, "queryValue")},
|
||||
}
|
||||
case "CUSTOM":
|
||||
return VariablePlugin{
|
||||
Kind: VariableKindCustom,
|
||||
Spec: &CustomVariableSpec{CustomValue: valueAt[string](v, "customValue")},
|
||||
}
|
||||
case "DYNAMIC":
|
||||
spec := &DynamicVariableSpec{Name: valueAt[string](v, "dynamicVariablesAttribute")}
|
||||
if signal := signalFromDataSource(v["dynamicVariablesSource"]); !signal.IsZero() {
|
||||
spec.Signal = signal
|
||||
}
|
||||
return VariablePlugin{Kind: VariableKindDynamic, Spec: spec}
|
||||
}
|
||||
return VariablePlugin{}
|
||||
}
|
||||
|
||||
func mapV1VariableDefault(v map[string]any) *variable.DefaultValue {
|
||||
if raw, ok := v["selectedValue"]; ok {
|
||||
return defaultValueFromAny(raw)
|
||||
}
|
||||
if raw, ok := v["defaultValue"]; ok {
|
||||
return defaultValueFromAny(raw)
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func defaultValueFromAny(raw any) *variable.DefaultValue {
|
||||
switch v := raw.(type) {
|
||||
case string:
|
||||
if v == "" {
|
||||
return nil
|
||||
}
|
||||
return &variable.DefaultValue{SingleValue: v}
|
||||
case []any:
|
||||
if len(v) == 0 {
|
||||
return nil
|
||||
}
|
||||
values := make([]string, 0, len(v))
|
||||
for _, item := range v {
|
||||
if s, ok := item.(string); ok && s != "" {
|
||||
values = append(values, s)
|
||||
}
|
||||
}
|
||||
if len(values) == 0 {
|
||||
return nil
|
||||
}
|
||||
return &variable.DefaultValue{SliceValues: values}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
func mapV1Sort(raw any) *variable.Sort {
|
||||
s, _ := raw.(string)
|
||||
var sort variable.Sort
|
||||
switch s {
|
||||
case "ASC":
|
||||
sort = variable.SortAlphabeticalAsc
|
||||
case "DESC":
|
||||
sort = variable.SortAlphabeticalDesc
|
||||
case "DISABLED", "":
|
||||
return nil // SortNone is the implicit default
|
||||
default:
|
||||
return nil
|
||||
}
|
||||
return &sort
|
||||
}
|
||||
66
pkg/types/migration.md
Normal file
66
pkg/types/migration.md
Normal file
@@ -0,0 +1,66 @@
|
||||
### Phases
|
||||
|
||||
1. **Pre-migration (dev)**: new tables `tag`, `tag_relations`, `pinned_dashboard`, `dashboard_view`
|
||||
2. **Validation**: run the migration script against a few prod snapshots locally. Verify counts match, spot-check shapes, time the run to estimate downtime.
|
||||
3. **Dry-run in cloud prod (cloud only).** Ship a build that runs the migration script in read-only
|
||||
mode against live prod data. Whenever the v1 get API is called for a dashboard, we dry-run the migration script for it in an async process. If there is a failure, schema mismatches, tag normalization rejections, etc, it is logged. Reach out to affected customers to fix their dashboards before the real migration. Re-run closer to migration day to confirm resolution.
|
||||
4. **Migration deploy**: script runs, FF flips on. Integration dashboards materialized in the `dashboard` table using an internal system account with `Locked = true`.
|
||||
5. **Post-migration**: v1 APIs deprecated but still respond.
|
||||
|
||||
#### **Rejected idea: dry run in a background job**
|
||||
|
||||
In the above plan, we only check the dashboards that the users access. However, that should be enough to cover enough dashboards to be able to find out possible issues. The extra effort of a background job doesn't have enough ROI.
|
||||
|
||||
### What gets migrated
|
||||
|
||||
Existing v1 dashboards → full v2 data shape (tags extracted from `data.tags` into `tag` and `tag_relations`; the field is removed from the blob). Integration dashboards → materialized rows. Pinned dashboards and saved views start empty.
|
||||
|
||||
### Tag normalization (v1 strings → v2 tag rows)
|
||||
|
||||
Each v1 dashboard `data.tags` is `[]string`. For every string `s`, derive `(key, value)`.
|
||||
|
||||
**Order of rules:**
|
||||
|
||||
1. **Trim** leading/trailing whitespace from `s`. If empty after trim → **skip silently** (log dashboard id + index, continue).
|
||||
2. **If `s` contains `:`** → split at the **first** `:`. Let `k` = left side, `v` = right side.
|
||||
- If `k` is empty (input was `:val`) → `key = "tag"`, `value = val`.
|
||||
- If `v` is empty (input was `key:`) → `key = "tag"`, `value = k` (the literal left side becomes the value).
|
||||
- Otherwise → `key = k`, `value = v`.
|
||||
- Other `:` are replaced with `_`.
|
||||
3. **Else if `s` contains `/`** → split at the **first** `/`. Let `k` = left side, `v` = right side.
|
||||
- Same empty-side handling: empty left → `key="tag", value=v`; empty right → `key="tag", value=k`. Otherwise → `key=k, value=v`.
|
||||
4. **Else** (no separator) → `key = "tag"`, `value = s`.
|
||||
5. Reserved-key collision. After steps 2–4, if the resulting key (case-insensitively) matches a reserved DSL key (name, description, created_at, updated_at, created_by, locked, public), prefix it with _ (e.g. name → _name). Silent — extremely unlikely in practice, but the rename keeps the dashboard alive without ambiguating the query DSL.
|
||||
6. **`/` scrub.** Output tags must never contain `/` (input validation forbids it). After the above steps, replace any remaining `/` in `key` and `value` with `_`:
|
||||
- `a/b/c` → step 3 splits at first `/` → `key="a", value="b/c"` → after scrub → `key="a", value="b_c"`
|
||||
- `team/eng:prod` → step 2 splits at `:` → `key="team/eng", value="prod"` → after scrub → `key="team_eng", value="prod"`
|
||||
- `team/eng:my/path` → step 2 → `key="team/eng", value="my/path"` → scrub → `key="team_eng", value="my_path"`
|
||||
|
||||
Trailing/leading whitespace within `key` and `value` after split is also trimmed; if either side becomes empty after that, apply the empty-side rules above. If both sides are effectively empty (e.g. input was `:` or `/`), skip silently.
|
||||
|
||||
**Case-collision dedup:**
|
||||
|
||||
Multiple v1 strings can normalize to the same `(LOWER(key), LOWER(value))` across an org (e.g. `Env:Prod` and `env:PROD`). The functional unique index ensures only one row exists. Display casing is taken from the variant on the dashboard with the **earliest `created_at`** (ties broken by `dashboard.id`) — same rule as the previous spec, just applied to `(key, value)` instead of `name`.
|
||||
|
||||
**Tag relations:**
|
||||
|
||||
After tag rows are upserted, build `tag_relations` from each (dashboard, tag-id-after-dedup) pair. `ON CONFLICT` clause in the query makes this idempotent.
|
||||
|
||||
### Script properties
|
||||
|
||||
- Per-dashboard transactional. One failure logs the dashboard id and continues.
|
||||
- Idempotent: `ON CONFLICT DO NOTHING` on tag and tag_relations upserts; dashboards already in v2 shape are skipped.
|
||||
- Progress logged every N dashboards; final summary includes totals and failure list.
|
||||
|
||||
### Rollback
|
||||
|
||||
Forward-only — no v2→v1 reverse script. The FF is the kill-switch pre-frontend-cutover. After cutover, rollback = another deploy with the fix.
|
||||
|
||||
### What about dashboards that fail to migrate after all this?
|
||||
|
||||
In Get API (v2) there will be a check on the dashboard fetched.
|
||||
|
||||
- `v2` → normal flow.
|
||||
- `v1` → return `422 Unprocessable Entity`.
|
||||
|
||||
The deprecated v1 APIs will still exist, so if any support ticket comes, we can check via the v1 API and see what’s wrong.
|
||||
75
tests/integration/testdata/inframonitoring/jobs_completed.jsonl
vendored
Normal file
75
tests/integration/testdata/inframonitoring/jobs_completed.jsonl
vendored
Normal file
@@ -0,0 +1,75 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p1-uid","k8s.pod.name":"done-p1","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p2-uid","k8s.pod.name":"done-p2","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"done-p3-uid","k8s.pod.name":"done-p3","k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"done-job","k8s.namespace.name":"ns-done","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
432
tests/integration/testdata/inframonitoring/jobs_filter_dataset.jsonl
vendored
Normal file
432
tests/integration/testdata/inframonitoring/jobs_filter_dataset.jsonl
vendored
Normal file
@@ -0,0 +1,432 @@
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "etl-a-prod-acc-1-p1-uid", "k8s.pod.name": "etl-a-prod-acc-1-p1", "k8s.job.name": "etl-a-prod", "k8s.namespace.name": "ns-a", "k8s.cluster.name": "cluster-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.4, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "cron-b-dev-acc-1-p2-uid", "k8s.pod.name": "cron-b-dev-acc-1-p2", "k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.active_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.failed_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.desired_successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.active_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.failed_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.desired_successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.active_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.failed_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.job.desired_successful_pods", "labels": {"k8s.job.name": "cron-b-dev", "k8s.namespace.name": "ns-b", "k8s.cluster.name": "cluster-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
132
tests/integration/testdata/inframonitoring/jobs_groupby.jsonl
vendored
Normal file
132
tests/integration/testdata/inframonitoring/jobs_groupby.jsonl
vendored
Normal file
@@ -0,0 +1,132 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-a1-p1-uid","k8s.pod.name":"gb-job-a1-p1","k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-a1","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-a2-p1-uid","k8s.pod.name":"gb-job-a2-p1","k8s.job.name":"gb-job-a2","k8s.namespace.name":"gb-ns-a","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"gb-job-b2-p1-uid","k8s.pod.name":"gb-job-b2-p1","k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"gb-job-b2","k8s.namespace.name":"gb-ns-b","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
33
tests/integration/testdata/inframonitoring/jobs_lifecycle.jsonl
vendored
Normal file
33
tests/integration/testdata/inframonitoring/jobs_lifecycle.jsonl
vendored
Normal file
@@ -0,0 +1,33 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"lc-pen-1-uid","k8s.pod.name":"lc-pen-1","k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"lc-job","k8s.namespace.name":"ns-lc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
3
tests/integration/testdata/inframonitoring/jobs_missing_metrics.jsonl
vendored
Normal file
3
tests/integration/testdata/inframonitoring/jobs_missing_metrics.jsonl
vendored
Normal file
@@ -0,0 +1,3 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.job.name":"miss-job","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.job.name":"miss-job","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.job.name":"miss-job","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
96
tests/integration/testdata/inframonitoring/jobs_non_job_pods.jsonl
vendored
Normal file
96
tests/integration/testdata/inframonitoring/jobs_non_job_pods.jsonl
vendored
Normal file
@@ -0,0 +1,96 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-job-p1-uid","k8s.pod.name":"nj-job-p1","k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"nj-job","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-standalone-uid","k8s.pod.name":"nj-standalone","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-dep-uid","k8s.pod.name":"nj-dep-pod","k8s.deployment.name":"nj-dep","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nj-ss-uid","k8s.pod.name":"nj-ss-pod","k8s.statefulset.name":"nj-ss","k8s.namespace.name":"ns-nj","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
165
tests/integration/testdata/inframonitoring/jobs_orderby.jsonl
vendored
Normal file
165
tests/integration/testdata/inframonitoring/jobs_orderby.jsonl
vendored
Normal file
@@ -0,0 +1,165 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.04,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-1-p1-uid","k8s.pod.name":"order-1-p1","k8s.job.name":"order-job-1","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-5-p1-uid","k8s.pod.name":"order-5-p1","k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":10.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":10.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":10.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"order-job-5","k8s.namespace.name":"ns-order","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
231
tests/integration/testdata/inframonitoring/jobs_pagination.jsonl
vendored
Normal file
231
tests/integration/testdata/inframonitoring/jobs_pagination.jsonl
vendored
Normal file
@@ -0,0 +1,231 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-1-p1-uid","k8s.pod.name":"page-1-p1","k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-1","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-7-p1-uid","k8s.pod.name":"page-7-p1","k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"page-job-7","k8s.namespace.name":"ns-page","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
138
tests/integration/testdata/inframonitoring/jobs_pod_phases.jsonl
vendored
Normal file
138
tests/integration/testdata/inframonitoring/jobs_pod_phases.jsonl
vendored
Normal file
@@ -0,0 +1,138 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-succ-3-uid","k8s.pod.name":"pp-succ-3","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"pp-job","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
129
tests/integration/testdata/inframonitoring/jobs_value_accuracy.jsonl
vendored
Normal file
129
tests/integration/testdata/inframonitoring/jobs_value_accuracy.jsonl
vendored
Normal file
@@ -0,0 +1,129 @@
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-1-p1-uid","k8s.pod.name":"acc-1-p1","k8s.job.name":"acc-job-1","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p2-uid","k8s.pod.name":"acc-2-p2","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-2-p3-uid","k8s.pod.name":"acc-2-p3","k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.active_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.failed_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.job.desired_successful_pods","labels":{"k8s.job.name":"acc-job-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
44
tests/integration/testdata/inframonitoring/jobs_value_accuracy_expected.json
vendored
Normal file
44
tests/integration/testdata/inframonitoring/jobs_value_accuracy_expected.json
vendored
Normal file
@@ -0,0 +1,44 @@
|
||||
{
|
||||
"records": [
|
||||
{
|
||||
"jobName": "acc-job-1",
|
||||
"jobCPU": 1.0,
|
||||
"jobCPURequest": 0.5,
|
||||
"jobCPULimit": 0.4,
|
||||
"jobMemory": 300000000.0,
|
||||
"jobMemoryRequest": 0.5,
|
||||
"jobMemoryLimit": 0.4,
|
||||
"desiredSuccessfulPods": 2,
|
||||
"activePods": 1,
|
||||
"failedPods": 0,
|
||||
"successfulPods": 1,
|
||||
"podCountsByPhase": {
|
||||
"pending": 0,
|
||||
"running": 2,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0
|
||||
}
|
||||
},
|
||||
{
|
||||
"jobName": "acc-job-2",
|
||||
"jobCPU": 1.2,
|
||||
"jobCPURequest": 0.4,
|
||||
"jobCPULimit": 0.3,
|
||||
"jobMemory": 600000000.0,
|
||||
"jobMemoryRequest": 0.4,
|
||||
"jobMemoryLimit": 0.3,
|
||||
"desiredSuccessfulPods": 5,
|
||||
"activePods": 3,
|
||||
"failedPods": 1,
|
||||
"successfulPods": 2,
|
||||
"podCountsByPhase": {
|
||||
"pending": 0,
|
||||
"running": 3,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
740
tests/integration/tests/inframonitoring/09_jobs.py
Normal file
740
tests/integration/tests/inframonitoring/09_jobs.py
Normal file
@@ -0,0 +1,740 @@
|
||||
"""Integration tests for v2 infra-monitoring jobs endpoint."""
|
||||
|
||||
import json
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from http import HTTPStatus
|
||||
|
||||
import pytest
|
||||
import requests
|
||||
|
||||
from fixtures import types
|
||||
from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
|
||||
from fixtures.fs import get_testdata_file_path
|
||||
from fixtures.metrics import Metrics
|
||||
from fixtures.querier import compare_values
|
||||
|
||||
ENDPOINT = "/api/v2/infra_monitoring/jobs"
|
||||
|
||||
# Required metrics for the v2 jobs endpoint
|
||||
# (pkg/modules/inframonitoring/implinframonitoring/jobs_constants.go:24-36).
|
||||
REQUIRED_METRICS = {
|
||||
"k8s.pod.phase",
|
||||
"k8s.pod.cpu.usage",
|
||||
"k8s.pod.cpu_request_utilization",
|
||||
"k8s.pod.cpu_limit_utilization",
|
||||
"k8s.pod.memory.working_set",
|
||||
"k8s.pod.memory_request_utilization",
|
||||
"k8s.pod.memory_limit_utilization",
|
||||
"k8s.job.active_pods",
|
||||
"k8s.job.failed_pods",
|
||||
"k8s.job.successful_pods",
|
||||
"k8s.job.desired_successful_pods",
|
||||
}
|
||||
|
||||
|
||||
def test_jobs_accuracy(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Assert response shape/contract + exact per-job metric values, all 4
|
||||
lifecycle counts, and phase counts against precomputed expected output.
|
||||
|
||||
Locks in Sum vs Avg split across pod-level metrics
|
||||
(jobs_constants.go:81-198): A/D = SpaceAggregationSum across pods;
|
||||
B/C/E/F = SpaceAggregationAvg. All 4 job-level counts (H/I/J/K) use
|
||||
TimeAggregationLatest + SpaceAggregationSum + ReduceToLast.
|
||||
"""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_value_accuracy.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
with open(
|
||||
get_testdata_file_path("inframonitoring/jobs_value_accuracy_expected.json"),
|
||||
encoding="utf-8",
|
||||
) as f:
|
||||
expected = json.load(f)
|
||||
exp_by_name = {r["jobName"]: r for r in expected["records"]}
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
|
||||
# Shape/contract.
|
||||
assert data["total"] == len(expected["records"])
|
||||
assert len(data["records"]) == len(expected["records"])
|
||||
assert data["requiredMetricsCheck"]["missingMetrics"] == []
|
||||
assert data["endTimeBeforeRetention"] is False
|
||||
assert {r["jobName"] for r in data["records"]} == set(exp_by_name.keys())
|
||||
|
||||
for record in data["records"]:
|
||||
for field in (
|
||||
"jobName",
|
||||
"jobCPU",
|
||||
"jobCPURequest",
|
||||
"jobCPULimit",
|
||||
"jobMemory",
|
||||
"jobMemoryRequest",
|
||||
"jobMemoryLimit",
|
||||
"desiredSuccessfulPods",
|
||||
"activePods",
|
||||
"failedPods",
|
||||
"successfulPods",
|
||||
"podCountsByPhase",
|
||||
"meta",
|
||||
):
|
||||
assert field in record, f"missing {field} in {record!r}"
|
||||
|
||||
# All 4 lifecycle counts must be ints (not floats).
|
||||
for int_field in ("desiredSuccessfulPods", "activePods", "failedPods", "successfulPods"):
|
||||
assert isinstance(record[int_field], int), f"{int_field} should be int, got {type(record[int_field]).__name__}"
|
||||
|
||||
for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
|
||||
assert bucket in record["podCountsByPhase"]
|
||||
assert isinstance(record["podCountsByPhase"][bucket], int)
|
||||
|
||||
assert record["meta"].get("k8s.job.name") == record["jobName"]
|
||||
assert "k8s.namespace.name" in record["meta"]
|
||||
assert "k8s.cluster.name" in record["meta"]
|
||||
|
||||
# Exact values.
|
||||
exp = exp_by_name[record["jobName"]]
|
||||
for field in (
|
||||
"jobCPU",
|
||||
"jobCPURequest",
|
||||
"jobCPULimit",
|
||||
"jobMemory",
|
||||
"jobMemoryRequest",
|
||||
"jobMemoryLimit",
|
||||
):
|
||||
assert compare_values(record[field], exp[field], 1e-6), f"{record['jobName']}.{field}: got {record[field]}, expected {exp[field]}"
|
||||
for int_field in ("desiredSuccessfulPods", "activePods", "failedPods", "successfulPods"):
|
||||
assert record[int_field] == exp[int_field], f"{record['jobName']}.{int_field}: got {record[int_field]}, expected {exp[int_field]}"
|
||||
assert record["podCountsByPhase"] == exp["podCountsByPhase"]
|
||||
|
||||
|
||||
def test_jobs_missing_metrics(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Seed only k8s.pod.cpu.usage; assert other 10 required metrics flagged missing."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_missing_metrics.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
|
||||
assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.pod.cpu.usage"})
|
||||
assert data["records"] == []
|
||||
assert data["total"] == 0
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"expression,expected",
|
||||
[
|
||||
pytest.param(
|
||||
"k8s.namespace.name = 'ns-a' AND env = 'prod'",
|
||||
{"etl-a-prod", "cron-a-prod"},
|
||||
id="and",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.job.name IN ('etl-a-prod', 'cron-b-dev')",
|
||||
{"etl-a-prod", "cron-b-dev"},
|
||||
id="in",
|
||||
),
|
||||
# NOT IN on the partition key (k8s.job.name) returns the rest.
|
||||
# NOT IN on non-partition labels is unreliable in QB v5; covered indirectly
|
||||
# via the and_not_in combo. Same workaround as clusters/volumes/deployments/SS.
|
||||
pytest.param(
|
||||
"k8s.job.name NOT IN ('etl-a-prod', 'etl-a-dev', 'cron-a-prod', 'cron-a-dev')",
|
||||
{"etl-b-prod", "etl-b-dev", "cron-b-prod", "cron-b-dev"},
|
||||
id="not_in",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.job.name CONTAINS 'etl'",
|
||||
{"etl-a-prod", "etl-a-dev", "etl-b-prod", "etl-b-dev"},
|
||||
id="contains",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.namespace.name = 'ns-a' AND k8s.job.name IN ('etl-a-prod', 'cron-a-prod')",
|
||||
{"etl-a-prod", "cron-a-prod"},
|
||||
id="and_in",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.namespace.name = 'ns-a' AND k8s.job.name NOT IN ('etl-a-prod', 'etl-a-dev')",
|
||||
{"cron-a-prod", "cron-a-dev"},
|
||||
id="and_not_in",
|
||||
),
|
||||
pytest.param(
|
||||
"env = 'prod' AND k8s.job.name CONTAINS 'etl'",
|
||||
{"etl-a-prod", "etl-b-prod"},
|
||||
id="and_contains",
|
||||
),
|
||||
pytest.param(
|
||||
"k8s.job.name IN ('etl-a-prod', 'etl-b-prod', 'cron-a-prod') AND k8s.job.name CONTAINS 'etl'",
|
||||
{"etl-a-prod", "etl-b-prod"},
|
||||
id="in_contains",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_jobs_filter(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
expression: str,
|
||||
expected: set,
|
||||
) -> None:
|
||||
"""Filter operators (=, IN, NOT IN, CONTAINS) and their AND-combinations
|
||||
return exactly the matching jobs, with undistorted per-job metric values."""
|
||||
# Every job in jobs_filter_dataset.jsonl carries the same sample pattern
|
||||
# as acc-job-1 in jobs_value_accuracy.jsonl (2 pods), so all filtered
|
||||
# records must resolve to these exact values (mirrors
|
||||
# jobs_value_accuracy_expected.json acc-job-1).
|
||||
expected_values = {
|
||||
"jobCPU": 1.0,
|
||||
"jobCPURequest": 0.5,
|
||||
"jobCPULimit": 0.4,
|
||||
"jobMemory": 300000000.0,
|
||||
"jobMemoryRequest": 0.5,
|
||||
"jobMemoryLimit": 0.4,
|
||||
}
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_filter_dataset.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": expression},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert {r["jobName"] for r in data["records"]} == expected
|
||||
assert data["total"] == len(expected)
|
||||
|
||||
# Filtering must not distort per-job aggregation values.
|
||||
for record in data["records"]:
|
||||
for field in expected_values:
|
||||
assert compare_values(record[field], expected_values[field], 1e-6), f"{record['jobName']}.{field}: got {record[field]}, expected {expected_values[field]}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"expression,err_substr",
|
||||
[
|
||||
pytest.param("k8s.job.namee = 'etl-a-prod'", "k8s.job.namee", id="bad_attr_name"),
|
||||
pytest.param("k8s.job.name =", None, id="trailing_op"),
|
||||
pytest.param("(k8s.job.name = 'etl-a-prod'", None, id="unclosed_paren"),
|
||||
],
|
||||
)
|
||||
def test_jobs_filter_invalid(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
expression: str,
|
||||
err_substr,
|
||||
) -> None:
|
||||
"""Invalid filter expressions (typo'd attribute key, malformed grammar) return
|
||||
400 invalid_input with structured errors; bad attribute keys are named in them."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_filter_dataset.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": expression},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
|
||||
body = response.json()
|
||||
assert body["status"] == "error"
|
||||
assert body["error"]["code"] == "invalid_input"
|
||||
assert len(body["error"]["errors"]) > 0
|
||||
if err_substr is not None:
|
||||
assert any(err_substr in e["message"] for e in body["error"]["errors"]), f"{err_substr!r} not surfaced: {body['error']['errors']!r}"
|
||||
|
||||
|
||||
def test_jobs_pod_phase_aggregation(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Job with mixed pod phases: 2 Running + 3 Succeeded + 1 Failed (in-progress)."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_pod_phases.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": "k8s.job.name = 'pp-job'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "pp-job"
|
||||
assert rec["podCountsByPhase"] == {
|
||||
"pending": 0,
|
||||
"running": 2,
|
||||
"succeeded": 3,
|
||||
"failed": 1,
|
||||
"unknown": 0,
|
||||
}
|
||||
|
||||
|
||||
def test_jobs_lifecycle_counts(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Lifecycle counters (active=2, failed=1, successful=3, desired_successful=4)
|
||||
are independent of pod phase counts. Seed deliberately mismatches: 1 Pending pod
|
||||
only. Validates the 4 int counters come straight from k8s.job.* metrics, not
|
||||
derived from observable pod phases (cumulative counters vs latest phase)."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_lifecycle.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": "k8s.job.name = 'lc-job'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "lc-job"
|
||||
for int_field in ("desiredSuccessfulPods", "activePods", "failedPods", "successfulPods"):
|
||||
assert isinstance(rec[int_field], int), f"{int_field} should be int"
|
||||
assert rec["desiredSuccessfulPods"] == 4
|
||||
assert rec["activePods"] == 2
|
||||
assert rec["failedPods"] == 1
|
||||
assert rec["successfulPods"] == 3
|
||||
# Pod phase counts deliberately disagree: only 1 Pending pod seeded.
|
||||
assert rec["podCountsByPhase"] == {
|
||||
"pending": 1,
|
||||
"running": 0,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0,
|
||||
}
|
||||
|
||||
|
||||
def test_jobs_completed_job(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Terminal-state job (active=0, failed=0, successful=3, desired_successful=3).
|
||||
Asserts activePods==0 and failedPods==0 are real zeros, not the -1 'no data'
|
||||
sentinel that buildJobRecords (jobs.go:30-43) initializes."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_completed.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"filter": {"expression": "k8s.job.name = 'done-job'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "done-job"
|
||||
assert rec["activePods"] == 0, f"activePods=0 leaked sentinel: {rec['activePods']}"
|
||||
assert rec["failedPods"] == 0, f"failedPods=0 leaked sentinel: {rec['failedPods']}"
|
||||
assert rec["successfulPods"] == 3
|
||||
assert rec["desiredSuccessfulPods"] == 3
|
||||
assert rec["podCountsByPhase"]["succeeded"] == 3
|
||||
|
||||
|
||||
def test_jobs_base_filter_drops_non_job_pods(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Locks in jobsBaseFilterExpr (jobs_constants.go:10, :67-72):
|
||||
standalone pods (no k8s.job.name), Deployment pods (k8s.deployment.name only),
|
||||
and StatefulSet pods (k8s.statefulset.name only) are all dropped.
|
||||
Only the real job row appears, total=1, no empty-name group."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_non_job_pods.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == 1, f"expected only the real job row; got {[r['jobName'] for r in data['records']]}"
|
||||
rec = data["records"][0]
|
||||
assert rec["jobName"] == "nj-job"
|
||||
assert all(r["jobName"] != "" for r in data["records"])
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"group_key,expected_running",
|
||||
[
|
||||
# groupBy=[k8s.job.name]: one record per job, jobName populated
|
||||
# (jobs.go:28-31). 1 running pod each.
|
||||
pytest.param(
|
||||
"k8s.job.name",
|
||||
{"gb-job-a1": 1, "gb-job-a2": 1, "gb-job-b1": 1, "gb-job-b2": 1},
|
||||
id="job_name",
|
||||
),
|
||||
# groupBy=[k8s.namespace.name]: aggregated across each namespace's 2
|
||||
# jobs, jobName cleared. 2 x 1 = 2 running pods each.
|
||||
pytest.param(
|
||||
"k8s.namespace.name",
|
||||
{"gb-ns-a": 2, "gb-ns-b": 2},
|
||||
id="namespace",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_jobs_groupby(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
group_key: str,
|
||||
expected_running: dict,
|
||||
) -> None:
|
||||
"""groupBy returns one record per distinct group with aggregated pod-phase
|
||||
counts. jobName is populated only when grouping by k8s.job.name
|
||||
(jobs.go:28-31 list-vs-grouped branch); meta surfaces the groupBy key."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_groupby.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"groupBy": [
|
||||
{
|
||||
"name": group_key,
|
||||
"fieldDataType": "string",
|
||||
"fieldContext": "resource",
|
||||
}
|
||||
],
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == len(expected_running)
|
||||
|
||||
is_job_group = group_key == "k8s.job.name"
|
||||
group_of = lambda r: r["jobName"] if is_job_group else r["meta"][group_key] # noqa: E731 # pylint: disable=unnecessary-lambda-assignment
|
||||
by_group = {group_of(r): r for r in data["records"]}
|
||||
assert set(by_group.keys()) == set(expected_running.keys())
|
||||
|
||||
for group, running in expected_running.items():
|
||||
rec = by_group[group]
|
||||
# jobName populated per job when grouping by it, empty otherwise.
|
||||
assert rec["jobName"] == (group if is_job_group else "")
|
||||
assert rec["podCountsByPhase"]["running"] == running
|
||||
for other in ("pending", "succeeded", "failed", "unknown"):
|
||||
assert rec["podCountsByPhase"][other] == 0
|
||||
assert group_key in rec["meta"], rec["meta"]
|
||||
|
||||
|
||||
def test_jobs_pagination(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
) -> None:
|
||||
"""Pagination: per-page len matches min(limit, total-offset), total invariant,
|
||||
pages cover the full set with no overlap. The final offset is beyond total:
|
||||
it returns empty records while total still reflects dataset size."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_pagination.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
K, limit = 7, 3
|
||||
seen_names: list[str] = []
|
||||
seen_totals: set[int] = set()
|
||||
|
||||
for offset in (0, 3, 6, K + 5):
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": limit,
|
||||
"offset": offset,
|
||||
"filter": {"expression": "k8s.job.name CONTAINS 'page-'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.OK, response.text
|
||||
data = response.json()["data"]
|
||||
seen_totals.add(data["total"])
|
||||
expected_len = max(0, min(limit, K - offset))
|
||||
assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
|
||||
seen_names.extend(r["jobName"] for r in data["records"])
|
||||
|
||||
assert seen_totals == {K}
|
||||
assert len(seen_names) == K
|
||||
assert set(seen_names) == {f"page-job-{i}" for i in range(1, K + 1)}
|
||||
|
||||
|
||||
# orderBy keys per jobs_constants.go (snake_case request keys, camelCase
|
||||
# response fields). k8s.job.name sorts via the metadata-name branch
|
||||
# (PaginateMetadataByName) and is only allowed when groupBy is empty.
|
||||
@pytest.mark.parametrize(
|
||||
"column,record_field",
|
||||
[
|
||||
pytest.param("cpu", "jobCPU", id="cpu"),
|
||||
pytest.param("cpu_request", "jobCPURequest", id="cpu_request"),
|
||||
pytest.param("cpu_limit", "jobCPULimit", id="cpu_limit"),
|
||||
pytest.param("memory", "jobMemory", id="memory"),
|
||||
pytest.param("memory_request", "jobMemoryRequest", id="memory_request"),
|
||||
pytest.param("memory_limit", "jobMemoryLimit", id="memory_limit"),
|
||||
pytest.param("desired_successful_pods", "desiredSuccessfulPods", id="desired_successful_pods"),
|
||||
pytest.param("active_pods", "activePods", id="active_pods"),
|
||||
pytest.param("failed_pods", "failedPods", id="failed_pods"),
|
||||
pytest.param("successful_pods", "successfulPods", id="successful_pods"),
|
||||
pytest.param("k8s.job.name", "jobName", id="job_name"),
|
||||
],
|
||||
)
|
||||
@pytest.mark.parametrize("direction", ["asc", "desc"])
|
||||
def test_jobs_orderby( # pylint: disable=too-many-arguments,too-many-positional-arguments
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
insert_metrics,
|
||||
column: str,
|
||||
record_field: str,
|
||||
direction: str,
|
||||
) -> None:
|
||||
"""Every orderBy column x direction: total/len stay K (invariant under
|
||||
sort) and records come back sorted by the requested column."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
insert_metrics(
|
||||
Metrics.load_from_file(
|
||||
get_testdata_file_path("inframonitoring/jobs_orderby.jsonl"),
|
||||
base_time=now - timedelta(minutes=4),
|
||||
)
|
||||
)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
K = 5
|
||||
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json={
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
"orderBy": {"key": {"name": column}, "direction": direction},
|
||||
# Guards against jobs seeded by other tests in the shared backend.
|
||||
"filter": {"expression": "k8s.job.name CONTAINS 'order-'"},
|
||||
},
|
||||
timeout=5,
|
||||
)
|
||||
ctx = f"orderBy={column} {direction}"
|
||||
assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
|
||||
data = response.json()["data"]
|
||||
assert data["total"] == K, f"{ctx}: total={data['total']}"
|
||||
assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
|
||||
|
||||
values = [r[record_field] for r in data["records"]]
|
||||
expected = sorted(values, reverse=(direction == "desc"))
|
||||
assert values == expected, f"{ctx} not sorted; got {values}"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"payload_override,err_substr",
|
||||
[
|
||||
pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
|
||||
pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
|
||||
pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
|
||||
pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
|
||||
pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
|
||||
pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
|
||||
pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
|
||||
pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
|
||||
pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
|
||||
pytest.param(
|
||||
{"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
|
||||
"invalid order by key",
|
||||
id="orderby_invalid_key",
|
||||
),
|
||||
pytest.param(
|
||||
{"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
|
||||
"invalid order by direction",
|
||||
id="orderby_invalid_direction",
|
||||
),
|
||||
pytest.param(
|
||||
{
|
||||
"orderBy": {"key": {"name": "k8s.job.name"}, "direction": "desc"},
|
||||
"groupBy": [
|
||||
{
|
||||
"name": "k8s.namespace.name",
|
||||
"fieldDataType": "string",
|
||||
"fieldContext": "resource",
|
||||
}
|
||||
],
|
||||
},
|
||||
"is only allowed when groupBy is empty",
|
||||
id="orderby_jobname_with_groupby",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_jobs_validation_errors(
|
||||
signoz: types.SigNoz,
|
||||
create_user_admin: None, # pylint: disable=unused-argument
|
||||
get_token,
|
||||
payload_override: dict,
|
||||
err_substr: str,
|
||||
) -> None:
|
||||
"""All PostableJobs.Validate() rules reject with 400 + descriptive error.
|
||||
See pkg/types/inframonitoringtypes/jobs.go:48-99."""
|
||||
now = datetime.now(tz=UTC).replace(microsecond=0)
|
||||
body: dict = {
|
||||
"start": int((now - timedelta(minutes=5)).timestamp() * 1000),
|
||||
"end": int(now.timestamp() * 1000),
|
||||
"limit": 50,
|
||||
}
|
||||
if payload_override.pop("_use_end_eq_start", False):
|
||||
body["end"] = body["start"]
|
||||
if payload_override.pop("_use_start_gt_end", False):
|
||||
body["start"] = body["end"] + 1
|
||||
body.update(payload_override)
|
||||
|
||||
token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
|
||||
response = requests.post(
|
||||
signoz.self.host_configs["8080"].get(ENDPOINT),
|
||||
headers={"authorization": f"Bearer {token}"},
|
||||
json=body,
|
||||
timeout=5,
|
||||
)
|
||||
assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
|
||||
error = response.json()["error"]
|
||||
assert error["code"] == "invalid_input"
|
||||
assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
|
||||
Reference in New Issue
Block a user