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feat/test-
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90cb4e99f9 |
@@ -190,7 +190,7 @@ services:
|
||||
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
|
||||
signoz:
|
||||
!!merge <<: *db-depend
|
||||
image: signoz/signoz:v0.128.0
|
||||
image: signoz/signoz:v0.127.1
|
||||
ports:
|
||||
- "8080:8080" # signoz port
|
||||
# - "6060:6060" # pprof port
|
||||
|
||||
@@ -117,7 +117,7 @@ services:
|
||||
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
|
||||
signoz:
|
||||
!!merge <<: *db-depend
|
||||
image: signoz/signoz:v0.128.0
|
||||
image: signoz/signoz:v0.127.1
|
||||
ports:
|
||||
- "8080:8080" # signoz port
|
||||
volumes:
|
||||
|
||||
@@ -181,7 +181,7 @@ services:
|
||||
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
|
||||
signoz:
|
||||
!!merge <<: *db-depend
|
||||
image: signoz/signoz:${VERSION:-v0.128.0}
|
||||
image: signoz/signoz:${VERSION:-v0.127.1}
|
||||
container_name: signoz
|
||||
ports:
|
||||
- "8080:8080" # signoz port
|
||||
|
||||
@@ -109,7 +109,7 @@ services:
|
||||
# - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
|
||||
signoz:
|
||||
!!merge <<: *db-depend
|
||||
image: signoz/signoz:${VERSION:-v0.128.0}
|
||||
image: signoz/signoz:${VERSION:-v0.127.1}
|
||||
container_name: signoz
|
||||
ports:
|
||||
- "8080:8080" # signoz port
|
||||
|
||||
@@ -6726,6 +6726,11 @@ components:
|
||||
type: object
|
||||
SpantypesGettableWaterfallTrace:
|
||||
properties:
|
||||
aggregations:
|
||||
items:
|
||||
$ref: '#/components/schemas/SpantypesSpanAggregationResult'
|
||||
nullable: true
|
||||
type: array
|
||||
endTimestampMillis:
|
||||
minimum: 0
|
||||
type: integer
|
||||
@@ -6813,6 +6818,14 @@ components:
|
||||
type: object
|
||||
SpantypesPostableWaterfall:
|
||||
properties:
|
||||
aggregations:
|
||||
items:
|
||||
$ref: '#/components/schemas/SpantypesSpanAggregation'
|
||||
nullable: true
|
||||
type: array
|
||||
limit:
|
||||
minimum: 0
|
||||
type: integer
|
||||
selectedSpanId:
|
||||
type: string
|
||||
uncollapsedSpans:
|
||||
@@ -20668,6 +20681,76 @@ paths:
|
||||
summary: Get flamegraph view for a trace
|
||||
tags:
|
||||
- tracedetail
|
||||
/api/v3/traces/{traceID}/waterfall:
|
||||
post:
|
||||
deprecated: false
|
||||
description: Returns the waterfall view of spans for a given trace ID with tree
|
||||
structure, metadata, and windowed pagination
|
||||
operationId: GetWaterfall
|
||||
parameters:
|
||||
- in: path
|
||||
name: traceID
|
||||
required: true
|
||||
schema:
|
||||
type: string
|
||||
requestBody:
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/SpantypesPostableWaterfall'
|
||||
responses:
|
||||
"200":
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
properties:
|
||||
data:
|
||||
$ref: '#/components/schemas/SpantypesGettableWaterfallTrace'
|
||||
status:
|
||||
type: string
|
||||
required:
|
||||
- status
|
||||
- data
|
||||
type: object
|
||||
description: OK
|
||||
"400":
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/RenderErrorResponse'
|
||||
description: Bad Request
|
||||
"401":
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/RenderErrorResponse'
|
||||
description: Unauthorized
|
||||
"403":
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/RenderErrorResponse'
|
||||
description: Forbidden
|
||||
"404":
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/RenderErrorResponse'
|
||||
description: Not Found
|
||||
"500":
|
||||
content:
|
||||
application/json:
|
||||
schema:
|
||||
$ref: '#/components/schemas/RenderErrorResponse'
|
||||
description: Internal Server Error
|
||||
security:
|
||||
- api_key:
|
||||
- VIEWER
|
||||
- tokenizer:
|
||||
- VIEWER
|
||||
summary: Get waterfall view for a trace
|
||||
tags:
|
||||
- tracedetail
|
||||
/api/v4/traces/{traceID}/waterfall:
|
||||
post:
|
||||
deprecated: false
|
||||
|
||||
@@ -5,13 +5,6 @@ import convertObjectIntoParams from 'lib/query/convertObjectIntoParams';
|
||||
import { ErrorResponse, SuccessResponse } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/alerts/getTriggered';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetAlerts` hook (or `getAlerts` fetcher) from
|
||||
* `api/generated/services/alerts` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const getTriggered = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponse<PayloadProps> | ErrorResponse> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/createEmail';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateChannel` hook (or `createChannel` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const create = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/createMsTeams';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateChannel` hook (or `createChannel` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const create = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/createOpsgenie';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateChannel` hook (or `createChannel` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const create = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/createPager';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateChannel` hook (or `createChannel` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const create = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/createSlack';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateChannel` hook (or `createChannel` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const create = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/createWebhook';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateChannel` hook (or `createChannel` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const create = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/delete';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useDeleteChannelByID` hook (or `deleteChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const deleteChannel = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/editEmail';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateChannelByID` hook (or `updateChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const editEmail = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/editMsTeams';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateChannelByID` hook (or `updateChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const editMsTeams = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorResponse, ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/editOpsgenie';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateChannelByID` hook (or `updateChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const editOpsgenie = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps> | ErrorResponse> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/editPager';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateChannelByID` hook (or `updateChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const editPager = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/editSlack';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateChannelByID` hook (or `updateChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const editSlack = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/editWebhook';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateChannelByID` hook (or `updateChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const editWebhook = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -5,13 +5,6 @@ import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/channels/get';
|
||||
import { Channels } from 'types/api/channels/getAll';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetChannelByID` hook (or `getChannelByID` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const get = async (props: Props): Promise<SuccessResponseV2<Channels>> => {
|
||||
try {
|
||||
const response = await axios.get<PayloadProps>(`/channels/${props.id}`);
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { Channels, PayloadProps } from 'types/api/channels/getAll';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useListChannels` hook (or `listChannels` fetcher) from
|
||||
* `api/generated/services/channels` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const getAll = async (): Promise<SuccessResponseV2<Channels[]>> => {
|
||||
try {
|
||||
const response = await axios.get<PayloadProps>('/channels');
|
||||
|
||||
@@ -5,13 +5,6 @@ import { DEFAULT_TIME_RANGE } from 'container/TopNav/DateTimeSelectionV2/constan
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { CreatePublicDashboardProps } from 'types/api/dashboard/public/create';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreatePublicDashboard` hook (or `createPublicDashboard` fetcher) from
|
||||
* `api/generated/services/dashboard` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const createPublicDashboard = async (
|
||||
props: CreatePublicDashboardProps,
|
||||
): Promise<SuccessResponseV2<CreatePublicDashboardProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { GetPublicDashboardDataProps, PayloadProps,PublicDashboardDataProps } from 'types/api/dashboard/public/get';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetPublicDashboardData` hook (or `getPublicDashboardData` fetcher) from
|
||||
* `api/generated/services/dashboard` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const getPublicDashboardData = async (props: GetPublicDashboardDataProps): Promise<SuccessResponseV2<PublicDashboardDataProps>> => {
|
||||
try {
|
||||
const response = await axios.get<PayloadProps>(`/public/dashboards/${props.id}`);
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { GetPublicDashboardMetaProps, PayloadProps,PublicDashboardMetaProps } from 'types/api/dashboard/public/getMeta';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetPublicDashboard` hook (or `getPublicDashboard` fetcher) from
|
||||
* `api/generated/services/dashboard` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const getPublicDashboardMeta = async (props: GetPublicDashboardMetaProps): Promise<SuccessResponseV2<PublicDashboardMetaProps>> => {
|
||||
try {
|
||||
const response = await axios.get<PayloadProps>(`/dashboards/${props.id}/public`);
|
||||
|
||||
@@ -6,13 +6,6 @@ import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { GetPublicDashboardWidgetDataProps } from 'types/api/dashboard/public/getWidgetData';
|
||||
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetPublicDashboardWidgetQueryRange` hook (or `getPublicDashboardWidgetQueryRange` fetcher) from
|
||||
* `api/generated/services/dashboard` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const getPublicDashboardWidgetData = async (props: GetPublicDashboardWidgetDataProps): Promise<SuccessResponseV2<MetricRangePayloadV5>> => {
|
||||
try {
|
||||
const response = await axios.get(`/public/dashboards/${props.id}/widgets/${props.index}/query_range`, {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps,RevokePublicDashboardAccessProps } from 'types/api/dashboard/public/delete';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useDeletePublicDashboard` hook (or `deletePublicDashboard` fetcher) from
|
||||
* `api/generated/services/dashboard` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const revokePublicDashboardAccess = async (
|
||||
props: RevokePublicDashboardAccessProps,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -5,13 +5,6 @@ import { DEFAULT_TIME_RANGE } from 'container/TopNav/DateTimeSelectionV2/constan
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { UpdatePublicDashboardProps } from 'types/api/dashboard/public/update';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdatePublicDashboard` hook (or `updatePublicDashboard` fetcher) from
|
||||
* `api/generated/services/dashboard` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const updatePublicDashboard = async (
|
||||
props: UpdatePublicDashboardProps,
|
||||
): Promise<SuccessResponseV2<UpdatePublicDashboardProps>> => {
|
||||
|
||||
@@ -9,13 +9,6 @@ interface ISubstituteVars {
|
||||
compositeQuery: ICompositeMetricQuery;
|
||||
}
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useReplaceVariables` hook (or `replaceVariables` fetcher) from
|
||||
* `api/generated/services/querier` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getSubstituteVars = async (
|
||||
props?: Partial<QueryRangePayloadV5>,
|
||||
signal?: AbortSignal,
|
||||
|
||||
@@ -8,12 +8,6 @@ import { FieldKeyResponse } from 'types/api/dynamicVariables/getFieldKeys';
|
||||
* Get field keys for a given signal type
|
||||
* @param signal Type of signal (traces, logs, metrics)
|
||||
* @param name Optional search text
|
||||
*
|
||||
* @deprecated Use the generated `useGetFieldsKeys` hook (or `getFieldsKeys` fetcher) from
|
||||
* `api/generated/services/fields` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getFieldKeys = async (
|
||||
signal?: 'traces' | 'logs' | 'metrics',
|
||||
|
||||
@@ -11,12 +11,6 @@ import { FieldValueResponse } from 'types/api/dynamicVariables/getFieldValues';
|
||||
* @param name Name of the attribute for which values are being fetched
|
||||
* @param value Optional search text
|
||||
* @param existingQuery Optional existing query - across all present dynamic variables
|
||||
*
|
||||
* @deprecated Use the generated `useGetFieldsValues` hook (or `getFieldsValues` fetcher) from
|
||||
* `api/generated/services/fields` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getFieldValues = async (
|
||||
signal?: 'traces' | 'logs' | 'metrics',
|
||||
|
||||
@@ -8095,6 +8095,10 @@ export interface SpantypesWaterfallSpanDTO {
|
||||
}
|
||||
|
||||
export interface SpantypesGettableWaterfallTraceDTO {
|
||||
/**
|
||||
* @type array,null
|
||||
*/
|
||||
aggregations?: SpantypesSpanAggregationResultDTO[] | null;
|
||||
/**
|
||||
* @type integer
|
||||
* @minimum 0
|
||||
@@ -8214,6 +8218,15 @@ export interface SpantypesPostableTraceAggregationsDTO {
|
||||
}
|
||||
|
||||
export interface SpantypesPostableWaterfallDTO {
|
||||
/**
|
||||
* @type array,null
|
||||
*/
|
||||
aggregations?: SpantypesSpanAggregationDTO[] | null;
|
||||
/**
|
||||
* @type integer
|
||||
* @minimum 0
|
||||
*/
|
||||
limit?: number;
|
||||
/**
|
||||
* @type string
|
||||
*/
|
||||
@@ -10508,6 +10521,17 @@ export type GetFlamegraph200 = {
|
||||
status: string;
|
||||
};
|
||||
|
||||
export type GetWaterfallPathParameters = {
|
||||
traceID: string;
|
||||
};
|
||||
export type GetWaterfall200 = {
|
||||
data: SpantypesGettableWaterfallTraceDTO;
|
||||
/**
|
||||
* @type string
|
||||
*/
|
||||
status: string;
|
||||
};
|
||||
|
||||
export type GetWaterfallV4PathParameters = {
|
||||
traceID: string;
|
||||
};
|
||||
|
||||
@@ -16,6 +16,8 @@ import type {
|
||||
GetFlamegraphPathParameters,
|
||||
GetTraceAggregations200,
|
||||
GetTraceAggregationsPathParameters,
|
||||
GetWaterfall200,
|
||||
GetWaterfallPathParameters,
|
||||
GetWaterfallV4200,
|
||||
GetWaterfallV4PathParameters,
|
||||
RenderErrorResponseDTO,
|
||||
@@ -226,6 +228,105 @@ export const useGetFlamegraph = <
|
||||
> => {
|
||||
return useMutation(getGetFlamegraphMutationOptions(options));
|
||||
};
|
||||
/**
|
||||
* Returns the waterfall view of spans for a given trace ID with tree structure, metadata, and windowed pagination
|
||||
* @summary Get waterfall view for a trace
|
||||
*/
|
||||
export const getWaterfall = (
|
||||
{ traceID }: GetWaterfallPathParameters,
|
||||
spantypesPostableWaterfallDTO?: BodyType<SpantypesPostableWaterfallDTO>,
|
||||
signal?: AbortSignal,
|
||||
) => {
|
||||
return GeneratedAPIInstance<GetWaterfall200>({
|
||||
url: `/api/v3/traces/${traceID}/waterfall`,
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
data: spantypesPostableWaterfallDTO,
|
||||
signal,
|
||||
});
|
||||
};
|
||||
|
||||
export const getGetWaterfallMutationOptions = <
|
||||
TError = ErrorType<RenderErrorResponseDTO>,
|
||||
TContext = unknown,
|
||||
>(options?: {
|
||||
mutation?: UseMutationOptions<
|
||||
Awaited<ReturnType<typeof getWaterfall>>,
|
||||
TError,
|
||||
{
|
||||
pathParams: GetWaterfallPathParameters;
|
||||
data?: BodyType<SpantypesPostableWaterfallDTO>;
|
||||
},
|
||||
TContext
|
||||
>;
|
||||
}): UseMutationOptions<
|
||||
Awaited<ReturnType<typeof getWaterfall>>,
|
||||
TError,
|
||||
{
|
||||
pathParams: GetWaterfallPathParameters;
|
||||
data?: BodyType<SpantypesPostableWaterfallDTO>;
|
||||
},
|
||||
TContext
|
||||
> => {
|
||||
const mutationKey = ['getWaterfall'];
|
||||
const { mutation: mutationOptions } = options
|
||||
? options.mutation &&
|
||||
'mutationKey' in options.mutation &&
|
||||
options.mutation.mutationKey
|
||||
? options
|
||||
: { ...options, mutation: { ...options.mutation, mutationKey } }
|
||||
: { mutation: { mutationKey } };
|
||||
|
||||
const mutationFn: MutationFunction<
|
||||
Awaited<ReturnType<typeof getWaterfall>>,
|
||||
{
|
||||
pathParams: GetWaterfallPathParameters;
|
||||
data?: BodyType<SpantypesPostableWaterfallDTO>;
|
||||
}
|
||||
> = (props) => {
|
||||
const { pathParams, data } = props ?? {};
|
||||
|
||||
return getWaterfall(pathParams, data);
|
||||
};
|
||||
|
||||
return { mutationFn, ...mutationOptions };
|
||||
};
|
||||
|
||||
export type GetWaterfallMutationResult = NonNullable<
|
||||
Awaited<ReturnType<typeof getWaterfall>>
|
||||
>;
|
||||
export type GetWaterfallMutationBody =
|
||||
| BodyType<SpantypesPostableWaterfallDTO>
|
||||
| undefined;
|
||||
export type GetWaterfallMutationError = ErrorType<RenderErrorResponseDTO>;
|
||||
|
||||
/**
|
||||
* @summary Get waterfall view for a trace
|
||||
*/
|
||||
export const useGetWaterfall = <
|
||||
TError = ErrorType<RenderErrorResponseDTO>,
|
||||
TContext = unknown,
|
||||
>(options?: {
|
||||
mutation?: UseMutationOptions<
|
||||
Awaited<ReturnType<typeof getWaterfall>>,
|
||||
TError,
|
||||
{
|
||||
pathParams: GetWaterfallPathParameters;
|
||||
data?: BodyType<SpantypesPostableWaterfallDTO>;
|
||||
},
|
||||
TContext
|
||||
>;
|
||||
}): UseMutationResult<
|
||||
Awaited<ReturnType<typeof getWaterfall>>,
|
||||
TError,
|
||||
{
|
||||
pathParams: GetWaterfallPathParameters;
|
||||
data?: BodyType<SpantypesPostableWaterfallDTO>;
|
||||
},
|
||||
TContext
|
||||
> => {
|
||||
return useMutation(getGetWaterfallMutationOptions(options));
|
||||
};
|
||||
/**
|
||||
* Returns the waterfall view of spans including all spans if total spans are under a limit, a max count otherwise. Aggregations are dropped compared to v3
|
||||
* @summary Get waterfall view for a trace
|
||||
|
||||
@@ -5,13 +5,6 @@ import {
|
||||
QueryKeySuggestionsResponseProps,
|
||||
} from 'types/api/querySuggestions/types';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetFieldsKeys` hook (or `getFieldsKeys` fetcher) from
|
||||
* `api/generated/services/fields` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getKeySuggestions = (
|
||||
props: QueryKeyRequestProps,
|
||||
): Promise<AxiosResponse<QueryKeySuggestionsResponseProps>> => {
|
||||
|
||||
@@ -5,13 +5,6 @@ import {
|
||||
QueryKeyValueSuggestionsResponseProps,
|
||||
} from 'types/api/querySuggestions/types';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetFieldsValues` hook (or `getFieldsValues` fetcher) from
|
||||
* `api/generated/services/fields` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getValueSuggestions = (
|
||||
props: QueryKeyValueRequestProps,
|
||||
): Promise<AxiosResponse<QueryKeyValueSuggestionsResponseProps>> => {
|
||||
|
||||
@@ -15,13 +15,6 @@ export interface CreateRoutingPolicyResponse {
|
||||
message: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateRoutePolicy` hook (or `createRoutePolicy` fetcher) from
|
||||
* `api/generated/services/routepolicies` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const createRoutingPolicy = async (
|
||||
props: CreateRoutingPolicyBody,
|
||||
): Promise<
|
||||
|
||||
@@ -8,13 +8,6 @@ export interface DeleteRoutingPolicyResponse {
|
||||
message: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useDeleteRoutePolicyByID` hook (or `deleteRoutePolicyByID` fetcher) from
|
||||
* `api/generated/services/routepolicies` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const deleteRoutingPolicy = async (
|
||||
routingPolicyId: string,
|
||||
): Promise<
|
||||
|
||||
@@ -20,13 +20,6 @@ export interface GetRoutingPoliciesResponse {
|
||||
data?: ApiRoutingPolicy[];
|
||||
}
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetAllRoutePolicies` hook (or `getAllRoutePolicies` fetcher) from
|
||||
* `api/generated/services/routepolicies` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getRoutingPolicies = async (
|
||||
signal?: AbortSignal,
|
||||
headers?: Record<string, string>,
|
||||
|
||||
@@ -15,13 +15,6 @@ export interface UpdateRoutingPolicyResponse {
|
||||
message: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateRoutePolicy` hook (or `updateRoutePolicy` fetcher) from
|
||||
* `api/generated/services/routepolicies` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const updateRoutingPolicy = async (
|
||||
id: string,
|
||||
props: UpdateRoutingPolicyBody,
|
||||
|
||||
@@ -27,6 +27,7 @@ const getTraceV4 = async (
|
||||
{
|
||||
selectedSpanId: props.selectedSpanId,
|
||||
uncollapsedSpans,
|
||||
limit: 10000,
|
||||
},
|
||||
);
|
||||
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/user/resetPassword';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useResetPassword` hook (or `resetPassword` fetcher) from
|
||||
* `api/generated/services/users` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const resetPassword = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { UsersProps } from 'types/api/user/inviteUsers';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateBulkInvite` hook (or `createBulkInvite` fetcher) from
|
||||
* `api/generated/services/users` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const inviteUsers = async (
|
||||
users: UsersProps,
|
||||
): Promise<SuccessResponseV2<null>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/user/setInvite';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateInvite` hook (or `createInvite` fetcher) from
|
||||
* `api/generated/services/users` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const sendInvite = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<PayloadProps>> => {
|
||||
|
||||
@@ -5,13 +5,6 @@ import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps } from 'types/api/preferences/list';
|
||||
import { OrgPreference } from 'types/api/preferences/preference';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useListOrgPreferences` hook (or `listOrgPreferences` fetcher) from
|
||||
* `api/generated/services/preferences` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const listPreference = async (): Promise<
|
||||
SuccessResponseV2<OrgPreference[]>
|
||||
> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { Props } from 'types/api/preferences/update';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateOrgPreference` hook (or `updateOrgPreference` fetcher) from
|
||||
* `api/generated/services/preferences` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const update = async (props: Props): Promise<SuccessResponseV2<null>> => {
|
||||
try {
|
||||
const response = await axios.put(`/org/preferences/${props.name}`, {
|
||||
|
||||
@@ -5,13 +5,6 @@ import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps } from 'types/api/preferences/list';
|
||||
import { UserPreference } from 'types/api/preferences/preference';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useListUserPreferences` hook (or `listUserPreferences` fetcher) from
|
||||
* `api/generated/services/preferences` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const list = async (): Promise<SuccessResponseV2<UserPreference[]>> => {
|
||||
try {
|
||||
const response = await axios.get<PayloadProps>(`/user/preferences`);
|
||||
|
||||
@@ -5,13 +5,6 @@ import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { PayloadProps, Props } from 'types/api/preferences/get';
|
||||
import { UserPreference } from 'types/api/preferences/preference';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetUserPreference` hook (or `getUserPreference` fetcher) from
|
||||
* `api/generated/services/preferences` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const get = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<UserPreference>> => {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, SuccessResponseV2 } from 'types/api';
|
||||
import { Props } from 'types/api/preferences/update';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useUpdateUserPreference` hook (or `updateUserPreference` fetcher) from
|
||||
* `api/generated/services/preferences` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const update = async (props: Props): Promise<SuccessResponseV2<null>> => {
|
||||
try {
|
||||
const response = await axios.put(`/user/preferences/${props.name}`, {
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, RawSuccessResponse, SuccessResponseV2 } from 'types/api';
|
||||
import { Props, SessionsContext } from 'types/api/v2/sessions/context/get';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useGetSessionContext` hook (or `getSessionContext` fetcher) from
|
||||
* `api/generated/services/sessions` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const get = async (
|
||||
props: Props,
|
||||
): Promise<SuccessResponseV2<SessionsContext>> => {
|
||||
|
||||
@@ -3,13 +3,6 @@ import { ErrorResponseHandlerV2 } from 'api/ErrorResponseHandlerV2';
|
||||
import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, RawSuccessResponse, SuccessResponseV2 } from 'types/api';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useDeleteSession` hook (or `deleteSession` fetcher) from
|
||||
* `api/generated/services/sessions` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const deleteSession = async (): Promise<SuccessResponseV2<null>> => {
|
||||
try {
|
||||
const response = await axios.delete<RawSuccessResponse<null>>('/sessions');
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, RawSuccessResponse, SuccessResponseV2 } from 'types/api';
|
||||
import { Props, Token } from 'types/api/v2/sessions/email_password/post';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useCreateSessionByEmailPassword` hook (or `createSessionByEmailPassword` fetcher) from
|
||||
* `api/generated/services/sessions` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const post = async (props: Props): Promise<SuccessResponseV2<Token>> => {
|
||||
try {
|
||||
const response = await axios.post<RawSuccessResponse<Token>>(
|
||||
|
||||
@@ -4,13 +4,6 @@ import { AxiosError } from 'axios';
|
||||
import { ErrorV2Resp, RawSuccessResponse, SuccessResponseV2 } from 'types/api';
|
||||
import { Props, Token } from 'types/api/v2/sessions/rotate/post';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useRotateSession` hook (or `rotateSession` fetcher) from
|
||||
* `api/generated/services/sessions` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
const post = async (props: Props): Promise<SuccessResponseV2<Token>> => {
|
||||
try {
|
||||
const response = await axios.post<RawSuccessResponse<Token>>(
|
||||
|
||||
@@ -8,13 +8,6 @@ import {
|
||||
QueryRangePayloadV5,
|
||||
} from 'types/api/v5/queryRange';
|
||||
|
||||
/**
|
||||
* @deprecated Use the generated `useQueryRangeV5` hook (or `queryRangeV5` fetcher) from
|
||||
* `api/generated/services/querier` instead. This hand-written client targets the
|
||||
* same endpoint and will be removed once call sites migrate.
|
||||
*
|
||||
* Part of https://github.com/SigNoz/engineering-pod/issues/5289, add a comment or update when removing this method.
|
||||
*/
|
||||
export const getQueryRangeV5 = async (
|
||||
props: QueryRangePayloadV5,
|
||||
version: string,
|
||||
|
||||
@@ -1,5 +1,11 @@
|
||||
// TODO: Improve the styling of the query aggregation container and its components. - @YounixM , @H4ad
|
||||
|
||||
$dropdown-base-height: 250px;
|
||||
$recents-header-height: 30px;
|
||||
$recent-row-height: 36px;
|
||||
// how many recents are rendered, this caps how tall the dropdown can grow to fit them.
|
||||
$max-recents-shown: 5;
|
||||
|
||||
.code-mirror-where-clause {
|
||||
width: 100%;
|
||||
display: flex;
|
||||
@@ -117,7 +123,23 @@
|
||||
width: 100% !important;
|
||||
max-width: 100% !important;
|
||||
font-family: 'Space Mono', monospace !important;
|
||||
min-height: 200px !important;
|
||||
max-height: $dropdown-base-height !important;
|
||||
overflow-y: auto !important;
|
||||
|
||||
// Recents render at the top of the dropdown ahead of regular suggestions.
|
||||
// At the base max-height, having recents in view would crowd out the
|
||||
// suggestion list below. This loop grows the dropdown by one row's worth
|
||||
// of height for every recent present (up to $max-recents-shown), plus the
|
||||
// section header. `:has(> li:nth-of-type(N) .cm-completionIcon-recent)`
|
||||
// matches when the Nth child of <ul> is a recent — i.e. there are at
|
||||
// least N recents visible.
|
||||
@for $i from 1 through $max-recents-shown {
|
||||
&:has(> li:nth-of-type(#{$i}) .cm-completionIcon-recent) {
|
||||
max-height: $dropdown-base-height +
|
||||
$recents-header-height +
|
||||
($i * $recent-row-height) !important;
|
||||
}
|
||||
}
|
||||
|
||||
&::-webkit-scrollbar {
|
||||
width: 0.3rem;
|
||||
@@ -133,6 +155,19 @@
|
||||
background: transparent;
|
||||
}
|
||||
|
||||
completion-section {
|
||||
display: block;
|
||||
padding: 10px 12px 6px;
|
||||
font-size: 10px !important;
|
||||
font-weight: 700;
|
||||
letter-spacing: 0.08em;
|
||||
text-transform: uppercase;
|
||||
color: var(--l3-foreground, var(--l2-foreground));
|
||||
opacity: 0.7;
|
||||
border-bottom: 0;
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
li {
|
||||
width: 100% !important;
|
||||
max-width: 100% !important;
|
||||
@@ -159,11 +194,78 @@
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
.cm-completionDetail {
|
||||
margin-left: auto;
|
||||
font-style: normal;
|
||||
font-size: var(--periscope-font-size-small, 11px);
|
||||
font-weight: 600;
|
||||
letter-spacing: 0.06em;
|
||||
text-transform: uppercase;
|
||||
opacity: 0.55;
|
||||
}
|
||||
|
||||
&[aria-selected='true'] {
|
||||
background: var(--l3-background) !important;
|
||||
font-weight: 600 !important;
|
||||
}
|
||||
}
|
||||
|
||||
li:has(.cm-completionIcon-recent) {
|
||||
&:hover .cm-recent-delete,
|
||||
&[aria-selected='true'] .cm-recent-delete {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
li .cm-completionLabel {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
.cm-recent-delete {
|
||||
margin-left: 8px;
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
width: 20px;
|
||||
height: 20px;
|
||||
padding: 0;
|
||||
border: 0;
|
||||
border-radius: 4px;
|
||||
background: transparent;
|
||||
color: var(--l2-foreground);
|
||||
font-size: 18px;
|
||||
line-height: 1;
|
||||
cursor: pointer;
|
||||
opacity: 0.5;
|
||||
transition:
|
||||
opacity 0.12s ease,
|
||||
background-color 0.12s ease;
|
||||
|
||||
&:hover {
|
||||
opacity: 1;
|
||||
background: color-mix(in srgb, var(--l2-foreground) 18%, transparent);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
&::after {
|
||||
content: '↓↑ to navigate · ↵ to apply · esc to dismiss';
|
||||
display: block;
|
||||
padding: 8px 12px;
|
||||
border-top: 1px solid var(--l1-border);
|
||||
font-family: 'Space Mono', monospace;
|
||||
font-size: 11px;
|
||||
font-weight: 500;
|
||||
letter-spacing: 0.02em;
|
||||
color: var(--l2-foreground);
|
||||
opacity: 0.6;
|
||||
background: color-mix(in srgb, var(--l1-background) 50%, transparent);
|
||||
border-bottom-left-radius: 4px;
|
||||
border-bottom-right-radius: 4px;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -46,8 +46,15 @@ import {
|
||||
import { validateQuery } from 'utils/queryValidationUtils';
|
||||
import { unquote } from 'utils/stringUtils';
|
||||
|
||||
import { queryExamples } from './constants';
|
||||
import { combineInitialAndUserExpression } from './utils';
|
||||
import { getRecentQueries } from 'lib/recentQueries/getRecentQueries';
|
||||
import type { SignalType } from 'types/api/v5/queryRange';
|
||||
|
||||
import { queryExamples, SUGGESTIONS_SECTION } from './constants';
|
||||
import {
|
||||
combineInitialAndUserExpression,
|
||||
getRecentOptions,
|
||||
renderRecentDeleteButton,
|
||||
} from './utils';
|
||||
|
||||
import './QuerySearch.styles.scss';
|
||||
|
||||
@@ -1250,6 +1257,41 @@ function QuerySearch({
|
||||
};
|
||||
}
|
||||
|
||||
const signal = dataSource as SignalType;
|
||||
|
||||
function combinedSuggestions(
|
||||
context: CompletionContext,
|
||||
): CompletionResult | null {
|
||||
const fullDoc = context.state.doc.toString();
|
||||
const recentOptions = getRecentOptions(
|
||||
getRecentQueries(signal, signalSource ?? ''),
|
||||
fullDoc,
|
||||
);
|
||||
const result = autoSuggestions(context);
|
||||
|
||||
const suggestionOptions = (result?.options || []).map((opt) => ({
|
||||
...opt,
|
||||
section: SUGGESTIONS_SECTION,
|
||||
}));
|
||||
|
||||
if (recentOptions.length === 0 && suggestionOptions.length === 0) {
|
||||
return result;
|
||||
}
|
||||
|
||||
if (!result) {
|
||||
return {
|
||||
from: 0,
|
||||
to: fullDoc.length,
|
||||
options: recentOptions,
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
...result,
|
||||
options: [...recentOptions, ...suggestionOptions],
|
||||
};
|
||||
}
|
||||
|
||||
// Effect to handle focus state and trigger suggestions
|
||||
useEffect(() => {
|
||||
const clearTimeout = toggleSuggestions(10);
|
||||
@@ -1398,11 +1440,12 @@ function QuerySearch({
|
||||
})}
|
||||
extensions={[
|
||||
autocompletion({
|
||||
override: [autoSuggestions],
|
||||
override: [combinedSuggestions],
|
||||
defaultKeymap: true,
|
||||
closeOnBlur: true,
|
||||
activateOnTyping: true,
|
||||
maxRenderedOptions: 50,
|
||||
addToOptions: [{ render: renderRecentDeleteButton, position: 100 }],
|
||||
}),
|
||||
javascript({ jsx: false, typescript: false }),
|
||||
EditorView.lineWrapping,
|
||||
|
||||
@@ -1,3 +1,14 @@
|
||||
export const RECENTS_SECTION = { name: 'Recent searches', rank: 1 } as const;
|
||||
export const SUGGESTIONS_SECTION = { name: 'Suggestions', rank: 2 } as const;
|
||||
|
||||
// Custom CodeMirror Completion.type for recent-query entries. Used to discriminate
|
||||
// recents from regular autocomplete completions in renderers and event handlers.
|
||||
export const RECENT_COMPLETION_TYPE = 'recent';
|
||||
|
||||
// Max number of recents rendered in the autocomplete dropdown.
|
||||
// Do change $max-recents-shown: in QuerySearch.styles.scss if you change this.
|
||||
export const RECENTS_DISPLAY_CAP = 5;
|
||||
|
||||
export const queryExamples = [
|
||||
{
|
||||
label: 'Basic Query',
|
||||
|
||||
@@ -1,3 +1,19 @@
|
||||
import { closeCompletion, startCompletion } from '@codemirror/autocomplete';
|
||||
import type { Completion } from '@codemirror/autocomplete';
|
||||
import type { EditorView } from '@uiw/react-codemirror';
|
||||
import dayjs from 'dayjs';
|
||||
import { normalizeFilterExpression } from 'lib/recentQueries/normalize';
|
||||
import * as recentQueriesStore from 'lib/recentQueries/recentQueriesStore';
|
||||
import type { RecentQueryEntry } from 'lib/recentQueries/types';
|
||||
import type { SignalType } from 'types/api/v5/queryRange';
|
||||
import 'utils/timeUtils';
|
||||
|
||||
import {
|
||||
RECENT_COMPLETION_TYPE,
|
||||
RECENTS_DISPLAY_CAP,
|
||||
RECENTS_SECTION,
|
||||
} from './constants';
|
||||
|
||||
export function combineInitialAndUserExpression(
|
||||
initial: string,
|
||||
user: string,
|
||||
@@ -38,3 +54,106 @@ export function getUserExpressionFromCombined(
|
||||
}
|
||||
return c;
|
||||
}
|
||||
|
||||
// Filters and projects a list of recent-query entries into CodeMirror completions.
|
||||
// Entries are supplied by the caller (typically via the useRecents hook) so this
|
||||
// function stays pure and React doesn't have to re-subscribe inside CodeMirror's
|
||||
// autocomplete callback.
|
||||
export function getRecentOptions(
|
||||
entries: RecentQueryEntry[],
|
||||
fullDoc: string,
|
||||
): Completion[] {
|
||||
const normalizedDoc = normalizeFilterExpression(fullDoc);
|
||||
|
||||
const matches = entries
|
||||
.filter((e) => {
|
||||
const normalizedRecent = normalizeFilterExpression(e.filter.expression);
|
||||
if (normalizedRecent === normalizedDoc) {
|
||||
return false;
|
||||
}
|
||||
if (normalizedDoc === '') {
|
||||
return true;
|
||||
}
|
||||
return normalizedRecent.includes(normalizedDoc);
|
||||
})
|
||||
.slice(0, RECENTS_DISPLAY_CAP);
|
||||
|
||||
return matches.map((entry, index) => ({
|
||||
label: entry.filter.expression,
|
||||
type: RECENT_COMPLETION_TYPE,
|
||||
// CodeMirror sorts within a section by boost desc, then label asc. The store
|
||||
// returns entries newest-first, so we mirror that by giving the newest entry
|
||||
// the highest boost — otherwise CM falls back to alphabetical order and the
|
||||
// "most recently used" expectation breaks. Stays within the recents section
|
||||
// because section.rank keeps recents above suggestions regardless of boost.
|
||||
boost: matches.length - index,
|
||||
section: RECENTS_SECTION,
|
||||
detail: dayjs(entry.lastUsedAt).fromNow(),
|
||||
recentId: entry.id,
|
||||
recentSignal: entry.signal,
|
||||
recentSource: entry.source,
|
||||
apply: (view: EditorView): void => {
|
||||
view.dispatch({
|
||||
changes: {
|
||||
from: 0,
|
||||
to: view.state.doc.length,
|
||||
insert: entry.filter.expression,
|
||||
},
|
||||
selection: { anchor: entry.filter.expression.length },
|
||||
});
|
||||
closeCompletion(view);
|
||||
},
|
||||
}));
|
||||
}
|
||||
|
||||
export function renderRecentDeleteButton(
|
||||
completion: Completion,
|
||||
_state: unknown,
|
||||
view: EditorView | null,
|
||||
): Node | null {
|
||||
if (completion.type !== RECENT_COMPLETION_TYPE) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const c = completion as Completion & {
|
||||
recentId?: string;
|
||||
recentSignal?: SignalType;
|
||||
recentSource?: string;
|
||||
};
|
||||
|
||||
const btn = document.createElement('button');
|
||||
btn.type = 'button';
|
||||
btn.className = 'cm-recent-delete';
|
||||
btn.setAttribute('aria-label', 'Remove from recent searches');
|
||||
btn.title = 'Remove from recent searches';
|
||||
btn.textContent = '×';
|
||||
queueMicrotask(() => {
|
||||
if (btn.parentElement) {
|
||||
btn.parentElement.title = completion.label;
|
||||
}
|
||||
});
|
||||
|
||||
const stop = (e: Event): void => {
|
||||
e.preventDefault();
|
||||
e.stopPropagation();
|
||||
};
|
||||
// CodeMirror's autocomplete closes the popup on pointerdown / mousedown outside
|
||||
// the editor. The delete button lives inside the popup, so we must stop those
|
||||
// events early — otherwise clicking × would dismiss the dropdown before the
|
||||
// click handler fires and the entry wouldn't actually get removed.
|
||||
btn.addEventListener('pointerdown', stop);
|
||||
btn.addEventListener('mousedown', stop);
|
||||
btn.addEventListener('click', (e) => {
|
||||
stop(e);
|
||||
if (!c.recentId || !c.recentSignal) {
|
||||
return;
|
||||
}
|
||||
recentQueriesStore.remove(c.recentId, c.recentSignal, c.recentSource ?? '');
|
||||
if (view) {
|
||||
view.focus();
|
||||
startCompletion(view);
|
||||
}
|
||||
});
|
||||
|
||||
return btn;
|
||||
}
|
||||
|
||||
@@ -62,6 +62,7 @@ function Explorer(): JSX.Element {
|
||||
handleSetQueryData,
|
||||
redirectWithQueryBuilderData,
|
||||
} = useQueryBuilder();
|
||||
|
||||
const { safeNavigate } = useSafeNavigate();
|
||||
const { handleExplorerTabChange } = useHandleExplorerTabChange();
|
||||
const isAIAssistantEnabled = useIsAIAssistantEnabled();
|
||||
|
||||
5
frontend/src/lib/recentQueries/constants.ts
Normal file
5
frontend/src/lib/recentQueries/constants.ts
Normal file
@@ -0,0 +1,5 @@
|
||||
export const STORAGE_KEY_PREFIX = 'qb_recent_v1';
|
||||
export const STORAGE_VERSION = 1;
|
||||
// Maximum entries kept per (signal, source) bucket. Larger than the UI's
|
||||
// RECENTS_DISPLAY_CAP so deleting a visible entry surfaces an older one.
|
||||
export const MAX_ENTRIES = 10;
|
||||
51
frontend/src/lib/recentQueries/getRecentQueries.test.ts
Normal file
51
frontend/src/lib/recentQueries/getRecentQueries.test.ts
Normal file
@@ -0,0 +1,51 @@
|
||||
import * as store from './recentQueriesStore';
|
||||
import { getRecentQueries } from './getRecentQueries';
|
||||
|
||||
describe('getRecentQueries', () => {
|
||||
beforeEach(() => {
|
||||
store.useRecentQueriesStore.setState({ buckets: {} });
|
||||
localStorage.clear();
|
||||
});
|
||||
|
||||
it('returns the entries for a (signal, source) bucket', () => {
|
||||
store.save({
|
||||
signal: 'logs',
|
||||
filter: { expression: "severity_text = 'ERROR'" },
|
||||
});
|
||||
|
||||
const entries = getRecentQueries('logs', '');
|
||||
expect(entries).toHaveLength(1);
|
||||
expect(entries[0].filter.expression).toBe("severity_text = 'ERROR'");
|
||||
});
|
||||
|
||||
it('returns an empty array for a bucket with no entries', () => {
|
||||
expect(getRecentQueries('logs', '')).toHaveLength(0);
|
||||
});
|
||||
|
||||
it('reads the latest entries on each call (non-subscribing)', () => {
|
||||
expect(getRecentQueries('logs', '')).toHaveLength(0);
|
||||
|
||||
store.save({
|
||||
signal: 'logs',
|
||||
filter: { expression: "severity_text = 'ERROR'" },
|
||||
});
|
||||
|
||||
expect(getRecentQueries('logs', '')).toHaveLength(1);
|
||||
});
|
||||
|
||||
it('partitions by signal and source', () => {
|
||||
store.save({
|
||||
signal: 'logs',
|
||||
filter: { expression: "severity_text = 'ERROR'" },
|
||||
});
|
||||
store.save({
|
||||
signal: 'metrics',
|
||||
source: 'meter',
|
||||
filter: { expression: 'cpu_usage > 80' },
|
||||
});
|
||||
|
||||
expect(getRecentQueries('logs', '')).toHaveLength(1);
|
||||
expect(getRecentQueries('metrics', 'meter')).toHaveLength(1);
|
||||
expect(getRecentQueries('metrics', '')).toHaveLength(0);
|
||||
});
|
||||
});
|
||||
14
frontend/src/lib/recentQueries/getRecentQueries.ts
Normal file
14
frontend/src/lib/recentQueries/getRecentQueries.ts
Normal file
@@ -0,0 +1,14 @@
|
||||
import type { SignalType } from 'types/api/v5/queryRange';
|
||||
|
||||
import * as store from './recentQueriesStore';
|
||||
import type { RecentQueryEntry } from './types';
|
||||
|
||||
// Non-subscribing read of recent searches for a (signal, source) bucket.
|
||||
// Deliberately not the zustand hook — subscribing would reconfigure CodeMirror
|
||||
// and close the open completion popup on every store change.
|
||||
export function getRecentQueries(
|
||||
signal: SignalType,
|
||||
source: string,
|
||||
): RecentQueryEntry[] {
|
||||
return store.list(signal, source);
|
||||
}
|
||||
100
frontend/src/lib/recentQueries/normalize.test.ts
Normal file
100
frontend/src/lib/recentQueries/normalize.test.ts
Normal file
@@ -0,0 +1,100 @@
|
||||
import { normalizeFilterExpression } from './normalize';
|
||||
|
||||
describe('normalizeFilterExpression', () => {
|
||||
it('returns empty string for empty input', () => {
|
||||
expect(normalizeFilterExpression('')).toBe('');
|
||||
});
|
||||
|
||||
it('returns empty string for whitespace-only input', () => {
|
||||
expect(normalizeFilterExpression(' \t ')).toBe('');
|
||||
});
|
||||
|
||||
it('strips whitespace around operators', () => {
|
||||
expect(normalizeFilterExpression(' a = 1 ')).toBe('a=1');
|
||||
expect(normalizeFilterExpression('a = 1')).toBe('a=1');
|
||||
expect(normalizeFilterExpression('a=1')).toBe('a=1');
|
||||
});
|
||||
|
||||
it('lowercases AND / OR / NOT outside quotes', () => {
|
||||
expect(normalizeFilterExpression('A AND B OR NOT C')).toBe('AandBornotC');
|
||||
});
|
||||
|
||||
it('lowercases IN / LIKE / ILIKE / CONTAINS', () => {
|
||||
expect(normalizeFilterExpression('host IN [1, 2] AND name LIKE "foo"')).toBe(
|
||||
'hostin[1,2]andnamelike"foo"',
|
||||
);
|
||||
});
|
||||
|
||||
it('lowercases REGEXP', () => {
|
||||
expect(normalizeFilterExpression('path REGEXP "foo"')).toBe(
|
||||
'pathregexp"foo"',
|
||||
);
|
||||
expect(normalizeFilterExpression('path REGEXP "foo"')).toBe(
|
||||
normalizeFilterExpression('path regexp "foo"'),
|
||||
);
|
||||
});
|
||||
|
||||
it('lowercases HAS / HASANY / HASALL / HASTOKEN function names', () => {
|
||||
expect(normalizeFilterExpression('HAS(tags, "x")')).toBe(
|
||||
normalizeFilterExpression('has(tags, "x")'),
|
||||
);
|
||||
expect(normalizeFilterExpression('HASANY(tags, ["a","b"])')).toBe(
|
||||
normalizeFilterExpression('hasAny(tags, ["a","b"])'),
|
||||
);
|
||||
expect(normalizeFilterExpression('HASALL(tags, ["a","b"])')).toBe(
|
||||
normalizeFilterExpression('hasAll(tags, ["a","b"])'),
|
||||
);
|
||||
expect(normalizeFilterExpression('HASTOKEN(msg, "err")')).toBe(
|
||||
normalizeFilterExpression('hasToken(msg, "err")'),
|
||||
);
|
||||
});
|
||||
|
||||
it('lowercases TRUE / FALSE boolean literals', () => {
|
||||
expect(normalizeFilterExpression('active = TRUE')).toBe(
|
||||
normalizeFilterExpression('active = true'),
|
||||
);
|
||||
expect(normalizeFilterExpression('active = FALSE')).toBe(
|
||||
normalizeFilterExpression('active = false'),
|
||||
);
|
||||
});
|
||||
|
||||
it('preserves whitespace and casing inside single-quoted strings', () => {
|
||||
expect(normalizeFilterExpression("a = 'X Y'")).toBe("a='X Y'");
|
||||
});
|
||||
|
||||
it('preserves whitespace and casing inside double-quoted strings', () => {
|
||||
expect(normalizeFilterExpression('a = "X Y"')).toBe('a="X Y"');
|
||||
});
|
||||
|
||||
it('does not lowercase keyword-looking substrings inside quotes', () => {
|
||||
expect(normalizeFilterExpression("msg = 'AND ERROR'")).toBe(
|
||||
"msg='AND ERROR'",
|
||||
);
|
||||
});
|
||||
|
||||
it('handles escaped quotes inside strings', () => {
|
||||
expect(normalizeFilterExpression("msg = 'a\\'b' AND x = 1")).toBe(
|
||||
"msg='a\\'b'andx=1",
|
||||
);
|
||||
});
|
||||
|
||||
it('treats two formattings of the same expression as identical', () => {
|
||||
const a = normalizeFilterExpression(
|
||||
'service.name = "frontend" AND severity = error',
|
||||
);
|
||||
const b = normalizeFilterExpression(
|
||||
'service.name="frontend" and severity=error',
|
||||
);
|
||||
expect(a).toBe(b);
|
||||
});
|
||||
|
||||
it('preserves unquoted value casing (treats them as identifiers)', () => {
|
||||
expect(normalizeFilterExpression('status = OK')).toBe('status=OK');
|
||||
});
|
||||
|
||||
it('handles mixed quotes in one expression', () => {
|
||||
expect(normalizeFilterExpression(`a = 'X' AND b = "Y"`)).toBe(
|
||||
`a='X'andb="Y"`,
|
||||
);
|
||||
});
|
||||
});
|
||||
56
frontend/src/lib/recentQueries/normalize.ts
Normal file
56
frontend/src/lib/recentQueries/normalize.ts
Normal file
@@ -0,0 +1,56 @@
|
||||
import {
|
||||
OPERATORS,
|
||||
QUERY_BUILDER_FUNCTIONS,
|
||||
TRACE_OPERATOR_OPERATORS,
|
||||
} from 'constants/antlrQueryConstants';
|
||||
|
||||
// Reserved keywords sourced from the ANTLR grammar constants so this list stays
|
||||
// in sync with the parser. `\b` prevents partial matches inside identifiers
|
||||
// (e.g. `OR` inside `originator`). `TRUE`/`FALSE` are BOOL literals, included
|
||||
// so case variants of boolean values also dedup.
|
||||
const WORD_KEYWORDS = [
|
||||
...Object.keys(OPERATORS).filter((k) => /^[A-Z]+$/.test(k)),
|
||||
...Object.keys(TRACE_OPERATOR_OPERATORS).filter((k) => /^[A-Z]+$/.test(k)),
|
||||
...Object.values(QUERY_BUILDER_FUNCTIONS),
|
||||
'TRUE',
|
||||
'FALSE',
|
||||
];
|
||||
|
||||
const KEYWORDS_RE = new RegExp(`\\b(${WORD_KEYWORDS.join('|')})\\b`, 'gi');
|
||||
|
||||
// Matches single- or double-quoted string literals, supporting escaped quotes
|
||||
// (e.g. `'it\'s'` or `"a \" b"`). We preserve quoted spans verbatim during
|
||||
// normalisation so user-meaningful whitespace and casing inside string values
|
||||
// stays intact: `name = "Foo Bar"` must not collapse to `name="foobar"`.
|
||||
const QUOTED_RE = /'(?:\\.|[^'\\])*'|"(?:\\.|[^"\\])*"/g;
|
||||
|
||||
// Lowercases reserved keywords and strips ALL whitespace from the unquoted regions
|
||||
// of the input. Keywords are normalised so casing variants dedup; whitespace is
|
||||
// dropped so formatting variants (`a=1` vs `a = 1`) dedup too.
|
||||
function processOutsideQuotes(s: string): string {
|
||||
return s.replace(KEYWORDS_RE, (m) => m.toLowerCase()).replace(/\s+/g, '');
|
||||
}
|
||||
|
||||
// Produces a canonical form of a filter expression suitable for dedup-key derivation.
|
||||
// Walks the input alternating between unquoted regions (where we normalise keywords
|
||||
// and whitespace) and quoted regions (which we copy verbatim).
|
||||
export function normalizeFilterExpression(input: string): string {
|
||||
if (!input) {
|
||||
return '';
|
||||
}
|
||||
|
||||
let result = '';
|
||||
let lastIndex = 0;
|
||||
QUOTED_RE.lastIndex = 0;
|
||||
|
||||
let match = QUOTED_RE.exec(input);
|
||||
while (match !== null) {
|
||||
result += processOutsideQuotes(input.slice(lastIndex, match.index));
|
||||
result += match[0];
|
||||
lastIndex = QUOTED_RE.lastIndex;
|
||||
match = QUOTED_RE.exec(input);
|
||||
}
|
||||
result += processOutsideQuotes(input.slice(lastIndex));
|
||||
|
||||
return result.trim();
|
||||
}
|
||||
247
frontend/src/lib/recentQueries/recentQueriesStore.test.ts
Normal file
247
frontend/src/lib/recentQueries/recentQueriesStore.test.ts
Normal file
@@ -0,0 +1,247 @@
|
||||
import { MAX_ENTRIES } from './constants';
|
||||
import * as store from './recentQueriesStore';
|
||||
import type { RecentQueryInput } from './recentQueriesStore';
|
||||
import type { RecentQueryEntry } from './types';
|
||||
|
||||
const baseInput = (
|
||||
overrides: Partial<RecentQueryInput> = {},
|
||||
): RecentQueryInput => ({
|
||||
signal: 'logs',
|
||||
filter: { expression: "service.name = 'frontend'" },
|
||||
...overrides,
|
||||
});
|
||||
|
||||
function saveOrThrow(input: RecentQueryInput): RecentQueryEntry {
|
||||
const saved = store.save(input);
|
||||
if (!saved) {
|
||||
throw new Error('expected save to return an entry');
|
||||
}
|
||||
return saved;
|
||||
}
|
||||
|
||||
describe('recentQueries store', () => {
|
||||
beforeEach(() => {
|
||||
store.useRecentQueriesStore.setState({ buckets: {} });
|
||||
localStorage.clear();
|
||||
});
|
||||
|
||||
describe('save + list', () => {
|
||||
it('saves an entry and lists it', () => {
|
||||
store.save(baseInput());
|
||||
const entries = store.list('logs');
|
||||
expect(entries).toHaveLength(1);
|
||||
expect(entries[0].filter.expression).toBe("service.name = 'frontend'");
|
||||
expect(entries[0].id).toBeTruthy();
|
||||
expect(entries[0].lastUsedAt).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
it('does not save when the filter expression is empty', () => {
|
||||
const result = store.save(baseInput({ filter: { expression: '' } }));
|
||||
expect(result).toBeNull();
|
||||
expect(store.list('logs')).toHaveLength(0);
|
||||
});
|
||||
|
||||
it('does not save when the filter expression is whitespace only', () => {
|
||||
const result = store.save(baseInput({ filter: { expression: ' ' } }));
|
||||
expect(result).toBeNull();
|
||||
expect(store.list('logs')).toHaveLength(0);
|
||||
});
|
||||
});
|
||||
|
||||
describe('LRU ordering', () => {
|
||||
it('places the most recently saved entry at the front', () => {
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
store.save(baseInput({ filter: { expression: 'http.status_code >= 500' } }));
|
||||
store.save(baseInput({ filter: { expression: 'attempt = 1' } }));
|
||||
|
||||
const entries = store.list('logs');
|
||||
expect(entries.map((e) => e.filter.expression)).toStrictEqual([
|
||||
'attempt = 1',
|
||||
'http.status_code >= 500',
|
||||
"severity_text = 'ERROR'",
|
||||
]);
|
||||
});
|
||||
|
||||
it('re-saving an existing filter bumps it to the front', () => {
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
store.save(baseInput({ filter: { expression: 'http.status_code >= 500' } }));
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
|
||||
const entries = store.list('logs');
|
||||
expect(entries).toHaveLength(2);
|
||||
expect(entries.map((e) => e.filter.expression)).toStrictEqual([
|
||||
"severity_text = 'ERROR'",
|
||||
'http.status_code >= 500',
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('dedup', () => {
|
||||
it('treats formatting variations of the same filter as one entry', () => {
|
||||
store.save(
|
||||
baseInput({
|
||||
filter: { expression: "severity_text = 'ERROR' AND attempt = 1" },
|
||||
}),
|
||||
);
|
||||
store.save(
|
||||
baseInput({
|
||||
filter: { expression: "severity_text='ERROR' and attempt=1" },
|
||||
}),
|
||||
);
|
||||
|
||||
expect(store.list('logs')).toHaveLength(1);
|
||||
});
|
||||
});
|
||||
|
||||
describe('signal partitioning', () => {
|
||||
it('saves to the right bucket per signal', () => {
|
||||
store.save(
|
||||
baseInput({
|
||||
signal: 'logs',
|
||||
filter: { expression: "severity_text = 'ERROR'" },
|
||||
}),
|
||||
);
|
||||
store.save(
|
||||
baseInput({
|
||||
signal: 'traces',
|
||||
filter: { expression: "service.name = 'orders-api'" },
|
||||
}),
|
||||
);
|
||||
store.save(
|
||||
baseInput({
|
||||
signal: 'metrics',
|
||||
filter: { expression: 'cpu_usage > 80' },
|
||||
}),
|
||||
);
|
||||
|
||||
expect(store.list('logs')).toHaveLength(1);
|
||||
expect(store.list('traces')).toHaveLength(1);
|
||||
expect(store.list('metrics')).toHaveLength(1);
|
||||
expect(store.list('logs')[0].filter.expression).toBe(
|
||||
"severity_text = 'ERROR'",
|
||||
);
|
||||
expect(store.list('traces')[0].filter.expression).toBe(
|
||||
"service.name = 'orders-api'",
|
||||
);
|
||||
expect(store.list('metrics')[0].filter.expression).toBe('cpu_usage > 80');
|
||||
});
|
||||
|
||||
it('does not leak between signals on dedup', () => {
|
||||
store.save(
|
||||
baseInput({
|
||||
signal: 'logs',
|
||||
filter: { expression: "service.name = 'frontend'" },
|
||||
}),
|
||||
);
|
||||
store.save(
|
||||
baseInput({
|
||||
signal: 'traces',
|
||||
filter: { expression: "service.name = 'frontend'" },
|
||||
}),
|
||||
);
|
||||
|
||||
expect(store.list('logs')).toHaveLength(1);
|
||||
expect(store.list('traces')).toHaveLength(1);
|
||||
});
|
||||
});
|
||||
|
||||
describe('LRU cap', () => {
|
||||
it('caps the bucket at MAX_ENTRIES and evicts the oldest', () => {
|
||||
const total = MAX_ENTRIES + 1;
|
||||
for (let i = 0; i < total; i += 1) {
|
||||
store.save(baseInput({ filter: { expression: `attempt = ${i}` } }));
|
||||
}
|
||||
|
||||
const entries = store.list('logs');
|
||||
expect(entries).toHaveLength(MAX_ENTRIES);
|
||||
expect(entries[0].filter.expression).toBe(`attempt = ${total - 1}`);
|
||||
expect(entries.some((e) => e.filter.expression === 'attempt = 0')).toBe(
|
||||
false,
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe('remove', () => {
|
||||
it('removes an entry by id', () => {
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
const saved = saveOrThrow(
|
||||
baseInput({ filter: { expression: 'http.status_code >= 500' } }),
|
||||
);
|
||||
store.remove(saved.id, 'logs');
|
||||
|
||||
const entries = store.list('logs');
|
||||
expect(entries).toHaveLength(1);
|
||||
expect(entries[0].filter.expression).toBe("severity_text = 'ERROR'");
|
||||
});
|
||||
|
||||
it('is a no-op when the id does not exist', () => {
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
store.remove('does-not-exist', 'logs');
|
||||
expect(store.list('logs')).toHaveLength(1);
|
||||
});
|
||||
|
||||
it('does not touch other signals', () => {
|
||||
const logsEntry = saveOrThrow(
|
||||
baseInput({
|
||||
signal: 'logs',
|
||||
filter: { expression: "service.name = 'frontend'" },
|
||||
}),
|
||||
);
|
||||
store.save(
|
||||
baseInput({
|
||||
signal: 'traces',
|
||||
filter: { expression: "service.name = 'frontend'" },
|
||||
}),
|
||||
);
|
||||
|
||||
store.remove(logsEntry.id, 'logs');
|
||||
|
||||
expect(store.list('logs')).toHaveLength(0);
|
||||
expect(store.list('traces')).toHaveLength(1);
|
||||
});
|
||||
});
|
||||
|
||||
describe('persistence', () => {
|
||||
it('reads back the same entries after the in-memory state is reset', () => {
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
store.save(baseInput({ filter: { expression: 'http.status_code >= 500' } }));
|
||||
|
||||
store.useRecentQueriesStore.setState({ buckets: {} });
|
||||
|
||||
const entries = store.list('logs');
|
||||
expect(entries.map((e) => e.filter.expression)).toStrictEqual([
|
||||
'http.status_code >= 500',
|
||||
"severity_text = 'ERROR'",
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('reactive subscription via zustand', () => {
|
||||
it('notifies zustand subscribers on save', () => {
|
||||
const cb = jest.fn();
|
||||
const unsubscribe = store.useRecentQueriesStore.subscribe(cb);
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
expect(cb).toHaveBeenCalledTimes(1);
|
||||
unsubscribe();
|
||||
});
|
||||
|
||||
it('notifies zustand subscribers on remove', () => {
|
||||
const saved = saveOrThrow(
|
||||
baseInput({ filter: { expression: "severity_text = 'ERROR'" } }),
|
||||
);
|
||||
const cb = jest.fn();
|
||||
const unsubscribe = store.useRecentQueriesStore.subscribe(cb);
|
||||
store.remove(saved.id, 'logs');
|
||||
expect(cb).toHaveBeenCalledTimes(1);
|
||||
unsubscribe();
|
||||
});
|
||||
|
||||
it('stops notifying after unsubscribe', () => {
|
||||
const cb = jest.fn();
|
||||
const unsubscribe = store.useRecentQueriesStore.subscribe(cb);
|
||||
unsubscribe();
|
||||
store.save(baseInput({ filter: { expression: "severity_text = 'ERROR'" } }));
|
||||
expect(cb).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
});
|
||||
144
frontend/src/lib/recentQueries/recentQueriesStore.ts
Normal file
144
frontend/src/lib/recentQueries/recentQueriesStore.ts
Normal file
@@ -0,0 +1,144 @@
|
||||
import get from 'api/browser/localstorage/get';
|
||||
import set from 'api/browser/localstorage/set';
|
||||
import type { SignalType } from 'types/api/v5/queryRange';
|
||||
import { create } from 'zustand';
|
||||
|
||||
import { MAX_ENTRIES, STORAGE_VERSION } from './constants';
|
||||
import { normalizeFilterExpression } from './normalize';
|
||||
import type { RecentQueriesStoreShape, RecentQueryEntry } from './types';
|
||||
import { bucketKey, makeId, normalizeSource, storageKeyFor } from './utils';
|
||||
|
||||
// Mirrors parsed localStorage so equal raw strings return the same array ref —
|
||||
// preserves Object.is for zustand selector bail-out.
|
||||
const persistedBucketCache = new Map<
|
||||
string,
|
||||
{ raw: string; parsed: RecentQueryEntry[] }
|
||||
>();
|
||||
|
||||
function loadBucketFromStorage(
|
||||
signal: SignalType,
|
||||
source: string,
|
||||
): RecentQueryEntry[] | null {
|
||||
const key = bucketKey(signal, source);
|
||||
try {
|
||||
const raw = get(storageKeyFor(signal, source));
|
||||
if (!raw) {
|
||||
persistedBucketCache.delete(key);
|
||||
return null;
|
||||
}
|
||||
const cached = persistedBucketCache.get(key);
|
||||
if (cached && cached.raw === raw) {
|
||||
return cached.parsed;
|
||||
}
|
||||
const parsedShape = JSON.parse(raw) as RecentQueriesStoreShape;
|
||||
if (
|
||||
parsedShape?.version !== STORAGE_VERSION ||
|
||||
!Array.isArray(parsedShape.entries)
|
||||
) {
|
||||
persistedBucketCache.delete(key);
|
||||
return null;
|
||||
}
|
||||
persistedBucketCache.set(key, { raw, parsed: parsedShape.entries });
|
||||
return parsedShape.entries;
|
||||
} catch {
|
||||
persistedBucketCache.delete(key);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
function saveBucketToStorage(
|
||||
signal: SignalType,
|
||||
source: string,
|
||||
entries: RecentQueryEntry[],
|
||||
): void {
|
||||
try {
|
||||
const raw = JSON.stringify({ version: STORAGE_VERSION, entries });
|
||||
if (set(storageKeyFor(signal, source), raw)) {
|
||||
persistedBucketCache.set(bucketKey(signal, source), {
|
||||
raw,
|
||||
parsed: entries,
|
||||
});
|
||||
}
|
||||
} catch {
|
||||
// Ignore storage errors (e.g. quota exceeded, JSON.stringify failure).
|
||||
}
|
||||
}
|
||||
|
||||
export type RecentQueryInput = Omit<
|
||||
RecentQueryEntry,
|
||||
'id' | 'lastUsedAt' | 'source'
|
||||
> & {
|
||||
source?: string;
|
||||
};
|
||||
|
||||
type RecentQueriesState = {
|
||||
buckets: Record<string, RecentQueryEntry[]>;
|
||||
save: (entry: RecentQueryInput) => RecentQueryEntry | null;
|
||||
remove: (id: string, signal: SignalType, source?: string) => void;
|
||||
};
|
||||
|
||||
export const useRecentQueriesStore = create<RecentQueriesState>()(
|
||||
(set, get) => ({
|
||||
buckets: {},
|
||||
|
||||
save: (entry): RecentQueryEntry | null => {
|
||||
const normalized = normalizeFilterExpression(entry.filter.expression);
|
||||
if (!normalized) {
|
||||
return null;
|
||||
}
|
||||
const source = normalizeSource(entry.source);
|
||||
const key = bucketKey(entry.signal, source);
|
||||
|
||||
const current =
|
||||
get().buckets[key] ?? loadBucketFromStorage(entry.signal, source) ?? [];
|
||||
const filtered = current.filter(
|
||||
(e) => normalizeFilterExpression(e.filter.expression) !== normalized,
|
||||
);
|
||||
|
||||
const newEntry: RecentQueryEntry = {
|
||||
...entry,
|
||||
source,
|
||||
id: makeId(entry.signal, source, normalized),
|
||||
lastUsedAt: Date.now(),
|
||||
};
|
||||
|
||||
const next = [newEntry, ...filtered].slice(0, MAX_ENTRIES);
|
||||
set({ buckets: { ...get().buckets, [key]: next } });
|
||||
saveBucketToStorage(entry.signal, source, next);
|
||||
return newEntry;
|
||||
},
|
||||
|
||||
remove: (id, signal, source = ''): void => {
|
||||
const key = bucketKey(signal, source);
|
||||
const current = get().buckets[key] ?? loadBucketFromStorage(signal, source);
|
||||
if (!current) {
|
||||
return;
|
||||
}
|
||||
const next = current.filter((e) => e.id !== id);
|
||||
if (next.length === current.length) {
|
||||
return;
|
||||
}
|
||||
set({ buckets: { ...get().buckets, [key]: next } });
|
||||
saveBucketToStorage(signal, source, next);
|
||||
},
|
||||
}),
|
||||
);
|
||||
|
||||
// Plain-function wrappers for non-React callers — same pattern as useColumnStore.ts.
|
||||
export function save(entry: RecentQueryInput): RecentQueryEntry | null {
|
||||
return useRecentQueriesStore.getState().save(entry);
|
||||
}
|
||||
|
||||
export function remove(id: string, signal: SignalType, source = ''): void {
|
||||
useRecentQueriesStore.getState().remove(id, signal, source);
|
||||
}
|
||||
|
||||
// Synchronous bucket read with localStorage fallback for non-React callers.
|
||||
export function list(signal: SignalType, source = ''): RecentQueryEntry[] {
|
||||
const key = bucketKey(signal, source);
|
||||
const state = useRecentQueriesStore.getState();
|
||||
if (state.buckets[key]) {
|
||||
return state.buckets[key];
|
||||
}
|
||||
return loadBucketFromStorage(signal, source) ?? [];
|
||||
}
|
||||
126
frontend/src/lib/recentQueries/saveRecentQuery.test.ts
Normal file
126
frontend/src/lib/recentQueries/saveRecentQuery.test.ts
Normal file
@@ -0,0 +1,126 @@
|
||||
import { EQueryType } from 'types/common/dashboard';
|
||||
import { DataSource } from 'types/common/queryBuilder';
|
||||
import type {
|
||||
IBuilderQuery,
|
||||
Query,
|
||||
} from 'types/api/queryBuilder/queryBuilderData';
|
||||
import { validateQuery } from 'utils/queryValidationUtils';
|
||||
|
||||
import * as store from './recentQueriesStore';
|
||||
import { saveRecentQuery } from './saveRecentQuery';
|
||||
|
||||
jest.mock('utils/queryValidationUtils', () => ({
|
||||
validateQuery: jest.fn(),
|
||||
}));
|
||||
|
||||
const mockedValidateQuery = validateQuery as jest.MockedFunction<
|
||||
typeof validateQuery
|
||||
>;
|
||||
|
||||
const buildQuery = (overrides: Partial<IBuilderQuery>[] = [{}]): Query => ({
|
||||
queryType: EQueryType.QUERY_BUILDER,
|
||||
promql: [],
|
||||
clickhouse_sql: [],
|
||||
id: 'q1',
|
||||
builder: {
|
||||
queryFormulas: [],
|
||||
queryTraceOperator: [],
|
||||
queryData: overrides.map((o, i) => ({
|
||||
queryName: `Q${i}`,
|
||||
dataSource: DataSource.LOGS,
|
||||
aggregateOperator: 'count',
|
||||
aggregateAttribute: undefined as never,
|
||||
functions: [],
|
||||
filter: { expression: 'service.name = "frontend"' },
|
||||
groupBy: [],
|
||||
expression: `Q${i}`,
|
||||
disabled: false,
|
||||
having: [],
|
||||
limit: null,
|
||||
stepInterval: null,
|
||||
orderBy: [],
|
||||
legend: '',
|
||||
...o,
|
||||
})) as IBuilderQuery[],
|
||||
},
|
||||
});
|
||||
|
||||
describe('saveRecentQuery', () => {
|
||||
beforeEach(() => {
|
||||
store.useRecentQueriesStore.setState({ buckets: {} });
|
||||
localStorage.clear();
|
||||
mockedValidateQuery.mockReturnValue({
|
||||
isValid: true,
|
||||
message: '',
|
||||
errors: [],
|
||||
});
|
||||
});
|
||||
|
||||
it('saves the query when validation passes', () => {
|
||||
saveRecentQuery(buildQuery());
|
||||
|
||||
const entries = store.list('logs');
|
||||
expect(entries).toHaveLength(1);
|
||||
expect(entries[0].filter.expression).toBe('service.name = "frontend"');
|
||||
});
|
||||
|
||||
it('does not save when validateQuery rejects the expression', () => {
|
||||
mockedValidateQuery.mockReturnValue({
|
||||
isValid: false,
|
||||
message: 'bad',
|
||||
errors: [],
|
||||
});
|
||||
|
||||
saveRecentQuery(buildQuery());
|
||||
|
||||
expect(store.list('logs')).toHaveLength(0);
|
||||
});
|
||||
|
||||
it('does not save a builder query with an empty filter expression', () => {
|
||||
saveRecentQuery(buildQuery([{ filter: { expression: '' } }]));
|
||||
|
||||
expect(store.list('logs')).toHaveLength(0);
|
||||
});
|
||||
|
||||
it('saves each builder query in the composite separately', () => {
|
||||
saveRecentQuery(
|
||||
buildQuery([
|
||||
{
|
||||
dataSource: DataSource.LOGS,
|
||||
filter: { expression: "service.name = 'frontend'" },
|
||||
},
|
||||
{
|
||||
dataSource: DataSource.TRACES,
|
||||
filter: { expression: "service.name = 'orders-api'" },
|
||||
},
|
||||
]),
|
||||
);
|
||||
|
||||
expect(store.list('logs')).toHaveLength(1);
|
||||
expect(store.list('traces')).toHaveLength(1);
|
||||
});
|
||||
|
||||
it('keeps a single entry when the same query is run again', () => {
|
||||
saveRecentQuery(buildQuery());
|
||||
saveRecentQuery(buildQuery());
|
||||
|
||||
expect(store.list('logs')).toHaveLength(1);
|
||||
});
|
||||
|
||||
it('adds a second entry when the filter changes', () => {
|
||||
saveRecentQuery(
|
||||
buildQuery([{ filter: { expression: "severity_text = 'ERROR'" } }]),
|
||||
);
|
||||
saveRecentQuery(
|
||||
buildQuery([{ filter: { expression: 'http.status_code >= 500' } }]),
|
||||
);
|
||||
|
||||
expect(store.list('logs')).toHaveLength(2);
|
||||
});
|
||||
|
||||
it('is a no-op when the query is null', () => {
|
||||
saveRecentQuery(null);
|
||||
|
||||
expect(store.list('logs')).toHaveLength(0);
|
||||
});
|
||||
});
|
||||
48
frontend/src/lib/recentQueries/saveRecentQuery.ts
Normal file
48
frontend/src/lib/recentQueries/saveRecentQuery.ts
Normal file
@@ -0,0 +1,48 @@
|
||||
import type {
|
||||
IBuilderQuery,
|
||||
Query,
|
||||
QueryState,
|
||||
} from 'types/api/queryBuilder/queryBuilderData';
|
||||
import type { SignalType } from 'types/api/v5/queryRange';
|
||||
import { validateQuery } from 'utils/queryValidationUtils';
|
||||
|
||||
import * as store from './recentQueriesStore';
|
||||
|
||||
function toSignal(dataSource: IBuilderQuery['dataSource']): SignalType | null {
|
||||
if (
|
||||
dataSource === 'logs' ||
|
||||
dataSource === 'traces' ||
|
||||
dataSource === 'metrics'
|
||||
) {
|
||||
return dataSource;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
// Persists each builder query's filter expression as a recent search, partitioned
|
||||
// by signal (and source). Call this on an explicit Stage & Run — not on staged-query
|
||||
// changes — so page loads, navigation, and correlation redirects don't pollute recents.
|
||||
// The store dedups by normalized filter, so re-running a query just bumps it to the front.
|
||||
export function saveRecentQuery(
|
||||
query: Query | QueryState | null | undefined,
|
||||
): void {
|
||||
const queryData = query?.builder?.queryData ?? [];
|
||||
queryData.forEach((q) => {
|
||||
const expression = q.filter?.expression?.trim();
|
||||
if (!expression) {
|
||||
return;
|
||||
}
|
||||
if (!validateQuery(expression).isValid) {
|
||||
return;
|
||||
}
|
||||
const signal = toSignal(q.dataSource);
|
||||
if (!signal) {
|
||||
return;
|
||||
}
|
||||
store.save({
|
||||
signal,
|
||||
source: q.source ?? '',
|
||||
filter: q.filter ?? { expression: '' },
|
||||
});
|
||||
});
|
||||
}
|
||||
14
frontend/src/lib/recentQueries/types.ts
Normal file
14
frontend/src/lib/recentQueries/types.ts
Normal file
@@ -0,0 +1,14 @@
|
||||
import type { Filter, SignalType } from 'types/api/v5/queryRange';
|
||||
|
||||
export interface RecentQueryEntry {
|
||||
id: string;
|
||||
signal: SignalType;
|
||||
source: string;
|
||||
filter: Filter;
|
||||
lastUsedAt: number;
|
||||
}
|
||||
|
||||
export interface RecentQueriesStoreShape {
|
||||
version: 1;
|
||||
entries: RecentQueryEntry[];
|
||||
}
|
||||
24
frontend/src/lib/recentQueries/utils.ts
Normal file
24
frontend/src/lib/recentQueries/utils.ts
Normal file
@@ -0,0 +1,24 @@
|
||||
import type { SignalType } from 'types/api/v5/queryRange';
|
||||
|
||||
import { STORAGE_KEY_PREFIX } from './constants';
|
||||
|
||||
export function normalizeSource(source: string | undefined): string {
|
||||
return source ?? '';
|
||||
}
|
||||
|
||||
export function bucketKey(signal: SignalType, source: string): string {
|
||||
return `${signal}:${source}`;
|
||||
}
|
||||
|
||||
export function storageKeyFor(signal: SignalType, source: string): string {
|
||||
return `${STORAGE_KEY_PREFIX}:${bucketKey(signal, source)}`;
|
||||
}
|
||||
|
||||
// Same (signal, source, normalized filter) ⇒ same id ⇒ upsert.
|
||||
export function makeId(
|
||||
signal: SignalType,
|
||||
source: string,
|
||||
normalizedFilter: string,
|
||||
): string {
|
||||
return `${signal}|${source}|${normalizedFilter}`;
|
||||
}
|
||||
@@ -39,6 +39,7 @@ import { updateStepInterval } from 'hooks/queryBuilder/useStepInterval';
|
||||
import { useSafeNavigate } from 'hooks/useSafeNavigate';
|
||||
import useUrlQuery from 'hooks/useUrlQuery';
|
||||
import { createIdFromObjectFields } from 'lib/createIdFromObjectFields';
|
||||
import { saveRecentQuery } from 'lib/recentQueries/saveRecentQuery';
|
||||
import { createNewBuilderItemName } from 'lib/newQueryBuilder/createNewBuilderItemName';
|
||||
import { getOperatorsBySourceAndPanelType } from 'lib/newQueryBuilder/getOperatorsBySourceAndPanelType';
|
||||
import { replaceIncorrectObjectFields } from 'lib/replaceIncorrectObjectFields';
|
||||
@@ -1025,6 +1026,11 @@ export function QueryBuilderProvider({
|
||||
);
|
||||
|
||||
const handleRunQuery = useCallback(() => {
|
||||
// Save the run query to recent searches. Tied to the explicit Stage & Run
|
||||
// gesture (not staged-query changes) so navigation and correlation redirects
|
||||
// don't pollute recents.
|
||||
saveRecentQuery(currentQuery);
|
||||
|
||||
const isExplorer =
|
||||
location.pathname === ROUTES.LOGS_EXPLORER ||
|
||||
location.pathname === ROUTES.TRACES_EXPLORER;
|
||||
|
||||
@@ -2,6 +2,7 @@ import { DATE_TIME_FORMATS } from 'constants/dateTimeFormats';
|
||||
import dayjs from 'dayjs';
|
||||
import customParseFormat from 'dayjs/plugin/customParseFormat';
|
||||
import duration from 'dayjs/plugin/duration';
|
||||
import relativeTime from 'dayjs/plugin/relativeTime';
|
||||
import timezone from 'dayjs/plugin/timezone';
|
||||
import utc from 'dayjs/plugin/utc';
|
||||
|
||||
@@ -9,6 +10,7 @@ dayjs.extend(utc);
|
||||
dayjs.extend(customParseFormat);
|
||||
dayjs.extend(duration);
|
||||
dayjs.extend(timezone);
|
||||
dayjs.extend(relativeTime);
|
||||
|
||||
export function toUTCEpoch(time: number): number {
|
||||
const x = new Date();
|
||||
|
||||
@@ -10,6 +10,25 @@ import (
|
||||
)
|
||||
|
||||
func (provider *provider) addTraceDetailRoutes(router *mux.Router) error {
|
||||
if err := router.Handle("/api/v3/traces/{traceID}/waterfall", handler.New(
|
||||
provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetWaterfall),
|
||||
handler.OpenAPIDef{
|
||||
ID: "GetWaterfall",
|
||||
Tags: []string{"tracedetail"},
|
||||
Summary: "Get waterfall view for a trace",
|
||||
Description: "Returns the waterfall view of spans for a given trace ID with tree structure, metadata, and windowed pagination",
|
||||
Request: new(spantypes.PostableWaterfall),
|
||||
RequestContentType: "application/json",
|
||||
Response: new(spantypes.GettableWaterfallTrace),
|
||||
ResponseContentType: "application/json",
|
||||
SuccessStatusCode: http.StatusOK,
|
||||
ErrorStatusCodes: []int{http.StatusBadRequest, http.StatusNotFound},
|
||||
SecuritySchemes: newSecuritySchemes(types.RoleViewer),
|
||||
},
|
||||
)).Methods(http.MethodPost).GetError(); err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
if err := router.Handle("/api/v4/traces/{traceID}/waterfall", handler.New(
|
||||
provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetWaterfallV4),
|
||||
handler.OpenAPIDef{
|
||||
|
||||
@@ -22,7 +22,7 @@ func newConfig() factory.Config {
|
||||
Agent: AgentConfig{
|
||||
// we will maintain the latest version of cloud integration agent from here,
|
||||
// till we automate it externally or figure out a way to validate it.
|
||||
Version: "v0.0.11",
|
||||
Version: "v0.0.10",
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -18,6 +18,27 @@ func NewHandler(module tracedetail.Module) tracedetail.Handler {
|
||||
return &handler{module: module}
|
||||
}
|
||||
|
||||
func (h *handler) GetWaterfall(rw http.ResponseWriter, r *http.Request) {
|
||||
req := new(spantypes.PostableWaterfall)
|
||||
if err := binding.JSON.BindBody(r.Body, req); err != nil {
|
||||
render.Error(rw, err)
|
||||
return
|
||||
}
|
||||
|
||||
if err := req.Validate(); err != nil {
|
||||
render.Error(rw, err)
|
||||
return
|
||||
}
|
||||
|
||||
result, err := h.module.GetWaterfall(r.Context(), mux.Vars(r)["traceID"], req)
|
||||
if err != nil {
|
||||
render.Error(rw, err)
|
||||
return
|
||||
}
|
||||
|
||||
render.Success(rw, http.StatusOK, result)
|
||||
}
|
||||
|
||||
func (h *handler) GetWaterfallV4(rw http.ResponseWriter, r *http.Request) {
|
||||
req := new(spantypes.PostableWaterfall)
|
||||
if err := binding.JSON.BindBody(r.Body, req); err != nil {
|
||||
@@ -30,7 +51,7 @@ func (h *handler) GetWaterfallV4(rw http.ResponseWriter, r *http.Request) {
|
||||
return
|
||||
}
|
||||
|
||||
result, err := h.module.GetWaterfallV4(r.Context(), mux.Vars(r)["traceID"], req.SelectedSpanID, req.UncollapsedSpans)
|
||||
result, err := h.module.GetWaterfallV4(r.Context(), mux.Vars(r)["traceID"], req.SelectedSpanID, req.UncollapsedSpans, req.Limit)
|
||||
if err != nil {
|
||||
render.Error(rw, err)
|
||||
return
|
||||
|
||||
@@ -39,16 +39,62 @@ func NewModule(traceStore spantypes.TraceStore, providerSettings factory.Provide
|
||||
return m
|
||||
}
|
||||
|
||||
// GetWaterfallV4 is the OOM-safe V4 waterfall.
|
||||
// For large traces (NumSpans > effectiveLimit) it uses a two-step fetch:
|
||||
// minimal fields for all spans to build the tree, then full fields for the
|
||||
// visible window only. Aggregations are not returned.
|
||||
func (m *module) GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string) (*spantypes.GettableWaterfallTrace, error) {
|
||||
func (m *module) GetWaterfall(ctx context.Context, traceID string, req *spantypes.PostableWaterfall) (*spantypes.GettableWaterfallTrace, error) {
|
||||
waterfallTrace, err := m.getTraceData(ctx, traceID)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
selectedSpans, uncollapsedSpans, selectedAllSpans := waterfallTrace.GetWaterfallSpans(
|
||||
req.UncollapsedSpans,
|
||||
req.SelectedSpanID,
|
||||
min(req.Limit, m.config.Waterfall.MaxLimitToSelectAllSpans),
|
||||
m.config.Waterfall.SpanPageSize,
|
||||
m.config.Waterfall.MaxDepthToAutoExpand,
|
||||
)
|
||||
|
||||
aggregationResults := make([]spantypes.SpanAggregationResult, 0, len(req.Aggregations))
|
||||
for _, a := range req.Aggregations {
|
||||
aggregationResults = append(aggregationResults, waterfallTrace.GetSpanAggregation(a.Aggregation, a.Field))
|
||||
}
|
||||
|
||||
return spantypes.NewGettableWaterfallTrace(waterfallTrace, selectedSpans, uncollapsedSpans, selectedAllSpans, aggregationResults), nil
|
||||
}
|
||||
|
||||
// getTraceData fetches all spans for a trace and builds the WaterfallTrace.
|
||||
func (m *module) getTraceData(ctx context.Context, traceID string) (*spantypes.WaterfallTrace, error) {
|
||||
summary, err := m.store.GetTraceSummary(ctx, traceID)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if summary.NumSpans > uint64(m.config.Waterfall.MaxLimitToSelectAllSpans) {
|
||||
|
||||
spanItems, err := m.store.GetTraceSpans(ctx, traceID, summary)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if len(spanItems) == 0 {
|
||||
return nil, spantypes.ErrTraceNotFound
|
||||
}
|
||||
|
||||
nodes := make([]*spantypes.WaterfallSpan, len(spanItems))
|
||||
for i := range spanItems {
|
||||
nodes[i] = spanItems[i].ToWaterfallSpan(traceID)
|
||||
}
|
||||
return spantypes.NewWaterfallTraceFromSpans(nodes), nil
|
||||
}
|
||||
|
||||
// GetWaterfallV4 is the OOM-safe V4 waterfall.
|
||||
// For large traces (NumSpans > effectiveLimit) it uses a two-step fetch:
|
||||
// minimal fields for all spans to build the tree, then full fields for the
|
||||
// visible window only. Aggregations are not returned.
|
||||
func (m *module) GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string, selectAllLimit uint) (*spantypes.GettableWaterfallTrace, error) {
|
||||
summary, err := m.store.GetTraceSummary(ctx, traceID)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
effectiveLimit := min(selectAllLimit, m.config.Waterfall.MaxLimitToSelectAllSpans)
|
||||
if summary.NumSpans > uint64(effectiveLimit) {
|
||||
attrs := metric.WithAttributes(attrResponseType.String(attrResponseTypeWindowed))
|
||||
m.metrics.waterfallRequestCount.Add(ctx, 1, attrs)
|
||||
m.metrics.waterfallSpanCount.Add(ctx, int64(summary.NumSpans), attrs)
|
||||
@@ -74,7 +120,7 @@ func (m *module) getFullWaterfall(ctx context.Context, traceID string, summary *
|
||||
waterfallTrace := spantypes.NewWaterfallTraceFromSpans(nodes)
|
||||
selectedSpans := waterfallTrace.GetAllSpans()
|
||||
|
||||
return spantypes.NewGettableWaterfallTrace(waterfallTrace, selectedSpans, nil, true), nil
|
||||
return spantypes.NewGettableWaterfallTrace(waterfallTrace, selectedSpans, nil, true, nil), nil
|
||||
}
|
||||
|
||||
func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error) {
|
||||
@@ -169,7 +215,7 @@ func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpan
|
||||
spantypes.EnrichSelectedSpans(selectedSpans, fullSpans)
|
||||
|
||||
return spantypes.NewGettableWaterfallTrace(
|
||||
waterfallTrace, selectedSpans, uncollapsedSpans, false,
|
||||
waterfallTrace, selectedSpans, uncollapsedSpans, false, nil,
|
||||
), nil
|
||||
}
|
||||
|
||||
|
||||
@@ -260,7 +260,7 @@ func TestGetSelectedSpans_MultipleRoots(t *testing.T) {
|
||||
trace := getWaterfallTrace([]*spantypes.WaterfallSpan{root1, root2}, spanMap)
|
||||
spans, _ := trace.GetSelectedSpans([]string{"root1", "root2"}, "root1", 500, 5)
|
||||
|
||||
traceRespnose := spantypes.NewGettableWaterfallTrace(trace, spans, nil, false)
|
||||
traceRespnose := spantypes.NewGettableWaterfallTrace(trace, spans, nil, false, nil)
|
||||
|
||||
assert.Equal(t, []string{"root1", "child1", "root2", "child2"}, spanIDs(spans), "root1 subtree must precede root2 subtree")
|
||||
assert.Equal(t, "svc-a", traceRespnose.RootServiceName, "metadata comes from first root")
|
||||
@@ -567,7 +567,7 @@ func TestGetAllSpans(t *testing.T) {
|
||||
)
|
||||
trace := getWaterfallTrace([]*spantypes.WaterfallSpan{root}, nil)
|
||||
spans := trace.GetAllSpans()
|
||||
traceResponse := spantypes.NewGettableWaterfallTrace(trace, spans, nil, true)
|
||||
traceResponse := spantypes.NewGettableWaterfallTrace(trace, spans, nil, true, nil)
|
||||
assert.ElementsMatch(t, spanIDs(spans), []string{"root", "childA", "grandchildA", "leafA", "childB", "grandchildB", "leafB"})
|
||||
assert.Equal(t, "svc", traceResponse.RootServiceName)
|
||||
assert.Equal(t, "root-op", traceResponse.RootServiceEntryPoint)
|
||||
|
||||
@@ -10,6 +10,7 @@ import (
|
||||
|
||||
// Handler exposes HTTP handlers for trace detail APIs.
|
||||
type Handler interface {
|
||||
GetWaterfall(http.ResponseWriter, *http.Request)
|
||||
GetWaterfallV4(http.ResponseWriter, *http.Request)
|
||||
GetTraceAggregations(http.ResponseWriter, *http.Request)
|
||||
GetFlamegraph(http.ResponseWriter, *http.Request)
|
||||
@@ -17,7 +18,8 @@ type Handler interface {
|
||||
|
||||
// Module defines the business logic for trace detail operations.
|
||||
type Module interface {
|
||||
GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string) (*spantypes.GettableWaterfallTrace, error)
|
||||
GetWaterfall(ctx context.Context, traceID string, req *spantypes.PostableWaterfall) (*spantypes.GettableWaterfallTrace, error)
|
||||
GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string, selectAllLimit uint) (*spantypes.GettableWaterfallTrace, error)
|
||||
GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error)
|
||||
GetFlamegraph(ctx context.Context, traceID string, selectedSpanID string, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error)
|
||||
}
|
||||
|
||||
@@ -898,6 +898,223 @@ func (r *ClickHouseReader) GetSpansForTrace(ctx context.Context, traceID string,
|
||||
return searchScanResponses, nil
|
||||
}
|
||||
|
||||
func (r *ClickHouseReader) GetWaterfallSpansForTraceWithMetadataCache(ctx context.Context, orgID valuer.UUID, traceID string) (*model.GetWaterfallSpansForTraceWithMetadataCache, error) {
|
||||
cachedTraceData := new(model.GetWaterfallSpansForTraceWithMetadataCache)
|
||||
err := r.cacheForTraceDetail.Get(ctx, orgID, strings.Join([]string{"getWaterfallSpansForTraceWithMetadata", traceID}, "-"), cachedTraceData)
|
||||
if err != nil {
|
||||
r.logger.Debug("error in retrieving getWaterfallSpansForTraceWithMetadata cache", errorsV2.Attr(err), "traceID", traceID)
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if time.Since(time.UnixMilli(int64(cachedTraceData.EndTime))) < r.fluxIntervalForTraceDetail {
|
||||
r.logger.Info("the trace end time falls under the flux interval, skipping getWaterfallSpansForTraceWithMetadata cache", "traceID", traceID)
|
||||
return nil, errors.Errorf("the trace end time falls under the flux interval, skipping getWaterfallSpansForTraceWithMetadata cache, traceID: %s", traceID)
|
||||
}
|
||||
|
||||
r.logger.Info("cache is successfully hit, applying cache for getWaterfallSpansForTraceWithMetadata", "traceID", traceID)
|
||||
return cachedTraceData, nil
|
||||
}
|
||||
|
||||
func (r *ClickHouseReader) GetWaterfallSpansForTraceWithMetadata(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetWaterfallSpansForTraceWithMetadataParams) (*model.GetWaterfallSpansForTraceWithMetadataResponse, error) {
|
||||
response := new(model.GetWaterfallSpansForTraceWithMetadataResponse)
|
||||
var startTime, endTime, durationNano, totalErrorSpans, totalSpans uint64
|
||||
var spanIdToSpanNodeMap = map[string]*model.Span{}
|
||||
var traceRoots []*model.Span
|
||||
var serviceNameToTotalDurationMap = map[string]uint64{}
|
||||
var serviceNameIntervalMap = map[string][]tracedetail.Interval{}
|
||||
var hasMissingSpans bool
|
||||
|
||||
cachedTraceData, err := r.GetWaterfallSpansForTraceWithMetadataCache(ctx, orgID, traceID)
|
||||
if err == nil {
|
||||
startTime = cachedTraceData.StartTime
|
||||
endTime = cachedTraceData.EndTime
|
||||
durationNano = cachedTraceData.DurationNano
|
||||
spanIdToSpanNodeMap = cachedTraceData.SpanIdToSpanNodeMap
|
||||
serviceNameToTotalDurationMap = cachedTraceData.ServiceNameToTotalDurationMap
|
||||
traceRoots = cachedTraceData.TraceRoots
|
||||
totalSpans = cachedTraceData.TotalSpans
|
||||
totalErrorSpans = cachedTraceData.TotalErrorSpans
|
||||
hasMissingSpans = cachedTraceData.HasMissingSpans
|
||||
}
|
||||
|
||||
if err != nil {
|
||||
r.logger.Info("cache miss for getWaterfallSpansForTraceWithMetadata", "traceID", traceID)
|
||||
|
||||
searchScanResponses, err := r.GetSpansForTrace(ctx, traceID, fmt.Sprintf("SELECT DISTINCT ON (span_id) timestamp, duration_nano, span_id, trace_id, has_error, kind, resource_string_service$$name, name, links as references, attributes_string, attributes_number, attributes_bool, resources_string, events, status_message, status_code_string, kind_string FROM %s.%s WHERE trace_id=$1 and ts_bucket_start>=$2 and ts_bucket_start<=$3 ORDER BY timestamp ASC, name ASC", r.TraceDB, r.traceTableName))
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
if len(searchScanResponses) == 0 {
|
||||
return response, nil
|
||||
}
|
||||
totalSpans = uint64(len(searchScanResponses))
|
||||
for _, item := range searchScanResponses {
|
||||
ref := []model.OtelSpanRef{}
|
||||
err := json.Unmarshal([]byte(item.References), &ref)
|
||||
if err != nil {
|
||||
r.logger.Error("getWaterfallSpansForTraceWithMetadata: error unmarshalling references", errorsV2.Attr(err), "traceID", traceID)
|
||||
return nil, errorsV2.Newf(errorsV2.TypeInvalidInput, errorsV2.CodeInvalidInput, "getWaterfallSpansForTraceWithMetadata: error unmarshalling references %s", err.Error())
|
||||
}
|
||||
|
||||
// merge attributes_number and attributes_bool to attributes_string
|
||||
for k, v := range item.Attributes_bool {
|
||||
item.Attributes_string[k] = fmt.Sprintf("%v", v)
|
||||
}
|
||||
for k, v := range item.Attributes_number {
|
||||
item.Attributes_string[k] = strconv.FormatFloat(v, 'f', -1, 64)
|
||||
}
|
||||
for k, v := range item.Resources_string {
|
||||
item.Attributes_string[k] = v
|
||||
}
|
||||
|
||||
events := make([]model.Event, 0)
|
||||
for _, event := range item.Events {
|
||||
var eventMap model.Event
|
||||
err = json.Unmarshal([]byte(event), &eventMap)
|
||||
if err != nil {
|
||||
r.logger.Error("Error unmarshalling events", errorsV2.Attr(err))
|
||||
return nil, errorsV2.Newf(errorsV2.TypeInternal, errorsV2.CodeInternal, "getWaterfallSpansForTraceWithMetadata: error in unmarshalling events %s", err.Error())
|
||||
}
|
||||
events = append(events, eventMap)
|
||||
}
|
||||
|
||||
startTimeUnixNano := uint64(item.TimeUnixNano.UnixNano())
|
||||
|
||||
jsonItem := model.Span{
|
||||
SpanID: item.SpanID,
|
||||
TraceID: item.TraceID,
|
||||
ServiceName: item.ServiceName,
|
||||
Name: item.Name,
|
||||
Kind: int32(item.Kind),
|
||||
DurationNano: item.DurationNano,
|
||||
HasError: item.HasError,
|
||||
StatusMessage: item.StatusMessage,
|
||||
StatusCodeString: item.StatusCodeString,
|
||||
SpanKind: item.SpanKind,
|
||||
References: ref,
|
||||
Events: events,
|
||||
TagMap: item.Attributes_string,
|
||||
Children: make([]*model.Span, 0),
|
||||
TimeUnixNano: startTimeUnixNano, // Store nanoseconds temporarily
|
||||
}
|
||||
|
||||
// metadata calculation
|
||||
if startTime == 0 || startTimeUnixNano < startTime {
|
||||
startTime = startTimeUnixNano
|
||||
}
|
||||
if endTime == 0 || (startTimeUnixNano+jsonItem.DurationNano) > endTime {
|
||||
endTime = (startTimeUnixNano + jsonItem.DurationNano)
|
||||
}
|
||||
if durationNano == 0 || jsonItem.DurationNano > durationNano {
|
||||
durationNano = jsonItem.DurationNano
|
||||
}
|
||||
|
||||
if jsonItem.HasError {
|
||||
totalErrorSpans = totalErrorSpans + 1
|
||||
}
|
||||
|
||||
// collect the intervals for service for execution time calculation
|
||||
serviceNameIntervalMap[jsonItem.ServiceName] =
|
||||
append(serviceNameIntervalMap[jsonItem.ServiceName], tracedetail.Interval{StartTime: jsonItem.TimeUnixNano, Duration: jsonItem.DurationNano, Service: jsonItem.ServiceName})
|
||||
|
||||
// append to the span node map
|
||||
spanIdToSpanNodeMap[jsonItem.SpanID] = &jsonItem
|
||||
}
|
||||
|
||||
// traverse through the map and append each node to the children array of the parent node
|
||||
// and add the missing spans
|
||||
for _, spanNode := range spanIdToSpanNodeMap {
|
||||
hasParentSpanNode := false
|
||||
for _, reference := range spanNode.References {
|
||||
if reference.RefType == "CHILD_OF" && reference.SpanId != "" {
|
||||
hasParentSpanNode = true
|
||||
|
||||
if parentNode, exists := spanIdToSpanNodeMap[reference.SpanId]; exists {
|
||||
parentNode.Children = append(parentNode.Children, spanNode)
|
||||
} else {
|
||||
// insert the missing span
|
||||
missingSpan := model.Span{
|
||||
SpanID: reference.SpanId,
|
||||
TraceID: spanNode.TraceID,
|
||||
ServiceName: "",
|
||||
Name: "Missing Span",
|
||||
TimeUnixNano: spanNode.TimeUnixNano,
|
||||
Kind: 0,
|
||||
DurationNano: spanNode.DurationNano,
|
||||
HasError: false,
|
||||
StatusMessage: "",
|
||||
StatusCodeString: "",
|
||||
SpanKind: "",
|
||||
Events: make([]model.Event, 0),
|
||||
Children: make([]*model.Span, 0),
|
||||
}
|
||||
missingSpan.Children = append(missingSpan.Children, spanNode)
|
||||
spanIdToSpanNodeMap[missingSpan.SpanID] = &missingSpan
|
||||
traceRoots = append(traceRoots, &missingSpan)
|
||||
hasMissingSpans = true
|
||||
}
|
||||
}
|
||||
}
|
||||
if !hasParentSpanNode && !tracedetail.ContainsWaterfallSpan(traceRoots, spanNode) {
|
||||
traceRoots = append(traceRoots, spanNode)
|
||||
}
|
||||
}
|
||||
|
||||
// sort the trace roots to add missing spans at the right order
|
||||
sort.Slice(traceRoots, func(i, j int) bool {
|
||||
if traceRoots[i].TimeUnixNano == traceRoots[j].TimeUnixNano {
|
||||
return traceRoots[i].Name < traceRoots[j].Name
|
||||
}
|
||||
return traceRoots[i].TimeUnixNano < traceRoots[j].TimeUnixNano
|
||||
})
|
||||
|
||||
serviceNameToTotalDurationMap = tracedetail.CalculateServiceTime(serviceNameIntervalMap)
|
||||
|
||||
// TODO: set the span data (model.GetWaterfallSpansForTraceWithMetadataCache) in cache here
|
||||
// removed existing cache usage since it was not getting used due to this bug https://github.com/SigNoz/engineering-pod/issues/4648
|
||||
// and was causing out of memory issues https://github.com/SigNoz/engineering-pod/issues/4638
|
||||
}
|
||||
|
||||
processingPostCache := time.Now()
|
||||
// When req.Limit is 0 (not set by the client), selectAllSpans is set to false
|
||||
// preserving the old paged behaviour for backward compatibility
|
||||
limit := min(req.Limit, tracedetail.MaxLimitToSelectAllSpans)
|
||||
selectAllSpans := totalSpans <= uint64(limit)
|
||||
|
||||
var (
|
||||
selectedSpans []*model.Span
|
||||
uncollapsedSpans []string
|
||||
rootServiceName, rootServiceEntryPoint string
|
||||
)
|
||||
if selectAllSpans {
|
||||
selectedSpans, rootServiceName, rootServiceEntryPoint = tracedetail.GetAllSpans(traceRoots)
|
||||
} else {
|
||||
selectedSpans, uncollapsedSpans, rootServiceName, rootServiceEntryPoint = tracedetail.GetSelectedSpans(req.UncollapsedSpans, req.SelectedSpanID, traceRoots, spanIdToSpanNodeMap, req.IsSelectedSpanIDUnCollapsed)
|
||||
}
|
||||
r.logger.Info("getWaterfallSpansForTraceWithMetadata: processing post cache", "duration", time.Since(processingPostCache), "traceID", traceID)
|
||||
|
||||
// convert start timestamp to millis because right now frontend is expecting it in millis
|
||||
for _, span := range selectedSpans {
|
||||
span.TimeUnixNano = span.TimeUnixNano / 1000000
|
||||
}
|
||||
|
||||
for serviceName, totalDuration := range serviceNameToTotalDurationMap {
|
||||
serviceNameToTotalDurationMap[serviceName] = totalDuration / 1000000
|
||||
}
|
||||
|
||||
response.Spans = selectedSpans
|
||||
response.UncollapsedSpans = uncollapsedSpans // ignoring if all spans are returning
|
||||
response.StartTimestampMillis = startTime / 1000000
|
||||
response.EndTimestampMillis = endTime / 1000000
|
||||
response.TotalSpansCount = totalSpans
|
||||
response.TotalErrorSpansCount = totalErrorSpans
|
||||
response.RootServiceName = rootServiceName
|
||||
response.RootServiceEntryPoint = rootServiceEntryPoint
|
||||
response.ServiceNameToTotalDurationMap = serviceNameToTotalDurationMap
|
||||
response.HasMissingSpans = hasMissingSpans
|
||||
response.HasMore = !selectAllSpans
|
||||
return response, nil
|
||||
}
|
||||
|
||||
func (r *ClickHouseReader) GetFlamegraphSpansForTraceCache(ctx context.Context, orgID valuer.UUID, traceID string) (*model.GetFlamegraphSpansForTraceCache, error) {
|
||||
cachedTraceData := new(model.GetFlamegraphSpansForTraceCache)
|
||||
|
||||
@@ -535,7 +535,7 @@ func (aH *APIHandler) RegisterRoutes(router *mux.Router, am *middleware.AuthZ) {
|
||||
router.HandleFunc("/api/v2/traces/fields", am.ViewAccess(aH.traceFields)).Methods(http.MethodGet)
|
||||
router.HandleFunc("/api/v2/traces/fields", am.EditAccess(aH.updateTraceField)).Methods(http.MethodPost)
|
||||
router.HandleFunc("/api/v2/traces/flamegraph/{traceId}", am.ViewAccess(aH.GetFlamegraphSpansForTrace)).Methods(http.MethodPost)
|
||||
|
||||
router.HandleFunc("/api/v2/traces/waterfall/{traceId}", am.ViewAccess(aH.GetWaterfallSpansForTraceWithMetadata)).Methods(http.MethodPost)
|
||||
|
||||
router.HandleFunc("/api/v1/version", am.OpenAccess(aH.getVersion)).Methods(http.MethodGet)
|
||||
router.HandleFunc("/api/v1/features", am.ViewAccess(aH.getFeatureFlags)).Methods(http.MethodGet)
|
||||
@@ -1446,6 +1446,39 @@ func (aH *APIHandler) SearchTraces(w http.ResponseWriter, r *http.Request) {
|
||||
|
||||
}
|
||||
|
||||
func (aH *APIHandler) GetWaterfallSpansForTraceWithMetadata(w http.ResponseWriter, r *http.Request) {
|
||||
claims, err := authtypes.ClaimsFromContext(r.Context())
|
||||
if err != nil {
|
||||
render.Error(w, err)
|
||||
return
|
||||
}
|
||||
orgID, err := valuer.NewUUID(claims.OrgID)
|
||||
if err != nil {
|
||||
render.Error(w, err)
|
||||
return
|
||||
}
|
||||
traceID := mux.Vars(r)["traceId"]
|
||||
if traceID == "" {
|
||||
render.Error(w, errors.NewInvalidInputf(errors.CodeInvalidInput, "traceID is required"))
|
||||
return
|
||||
}
|
||||
|
||||
req := new(model.GetWaterfallSpansForTraceWithMetadataParams)
|
||||
err = json.NewDecoder(r.Body).Decode(&req)
|
||||
if err != nil {
|
||||
RespondError(w, model.BadRequest(err), nil)
|
||||
return
|
||||
}
|
||||
|
||||
result, apiErr := aH.reader.GetWaterfallSpansForTraceWithMetadata(r.Context(), orgID, traceID, req)
|
||||
if apiErr != nil {
|
||||
render.Error(w, apiErr)
|
||||
return
|
||||
}
|
||||
|
||||
aH.WriteJSON(w, r, result)
|
||||
}
|
||||
|
||||
func (aH *APIHandler) GetFlamegraphSpansForTrace(w http.ResponseWriter, r *http.Request) {
|
||||
claims, err := authtypes.ClaimsFromContext(r.Context())
|
||||
if err != nil {
|
||||
|
||||
287
pkg/query-service/app/traces/tracedetail/waterfall.go
Normal file
287
pkg/query-service/app/traces/tracedetail/waterfall.go
Normal file
@@ -0,0 +1,287 @@
|
||||
package tracedetail
|
||||
|
||||
import (
|
||||
"maps"
|
||||
"slices"
|
||||
"sort"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/query-service/model"
|
||||
)
|
||||
|
||||
var (
|
||||
SPAN_LIMIT_PER_REQUEST_FOR_WATERFALL float64 = 500
|
||||
|
||||
maxDepthForSelectedSpanChildren int = 5
|
||||
MaxLimitToSelectAllSpans uint = 10_000
|
||||
)
|
||||
|
||||
type Interval struct {
|
||||
StartTime uint64
|
||||
Duration uint64
|
||||
Service string
|
||||
}
|
||||
|
||||
func mergeIntervals(intervals []Interval) []Interval {
|
||||
if len(intervals) == 0 {
|
||||
return nil
|
||||
}
|
||||
|
||||
var merged []Interval
|
||||
current := intervals[0]
|
||||
|
||||
for i := 1; i < len(intervals); i++ {
|
||||
next := intervals[i]
|
||||
if current.StartTime+current.Duration >= next.StartTime {
|
||||
endTime := max(current.StartTime+current.Duration, next.StartTime+next.Duration)
|
||||
current.Duration = endTime - current.StartTime
|
||||
} else {
|
||||
merged = append(merged, current)
|
||||
current = next
|
||||
}
|
||||
}
|
||||
// Add the last interval
|
||||
merged = append(merged, current)
|
||||
|
||||
return merged
|
||||
}
|
||||
|
||||
func ContainsWaterfallSpan(slice []*model.Span, item *model.Span) bool {
|
||||
for _, v := range slice {
|
||||
if v.SpanID == item.SpanID {
|
||||
return true
|
||||
}
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
||||
func findIndexForSelectedSpanFromPreOrder(spans []*model.Span, selectedSpanId string) int {
|
||||
var selectedSpanIndex = -1
|
||||
|
||||
for index, span := range spans {
|
||||
if span.SpanID == selectedSpanId {
|
||||
selectedSpanIndex = index
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
return selectedSpanIndex
|
||||
}
|
||||
|
||||
func getPathFromRootToSelectedSpanId(node *model.Span, selectedSpanId string) (bool, []string) {
|
||||
spansFromRootToNode := []string{}
|
||||
|
||||
spansFromRootToNode = append(spansFromRootToNode, node.SpanID)
|
||||
if node.SpanID == selectedSpanId {
|
||||
return true, spansFromRootToNode
|
||||
}
|
||||
|
||||
isPresentInSubtreeForTheNode := false
|
||||
for _, child := range node.Children {
|
||||
isPresentInThisSubtree, _spansFromRootToNode := getPathFromRootToSelectedSpanId(child, selectedSpanId)
|
||||
// if the interested node is present in the given subtree then add the span node to uncollapsed node list
|
||||
if isPresentInThisSubtree {
|
||||
isPresentInSubtreeForTheNode = true
|
||||
spansFromRootToNode = append(spansFromRootToNode, _spansFromRootToNode...)
|
||||
break
|
||||
}
|
||||
}
|
||||
return isPresentInSubtreeForTheNode, spansFromRootToNode
|
||||
}
|
||||
|
||||
// traverseOpts holds the traversal configuration that remains constant
|
||||
// throughout the recursion. Per-call state (level, isPartOfPreOrder, etc.)
|
||||
// is passed as direct arguments.
|
||||
type traverseOpts struct {
|
||||
uncollapsedSpans map[string]struct{}
|
||||
selectedSpanID string
|
||||
isSelectedSpanUncollapsed bool
|
||||
selectAll bool
|
||||
}
|
||||
|
||||
func traverseTrace(
|
||||
span *model.Span,
|
||||
opts traverseOpts,
|
||||
level uint64,
|
||||
isPartOfPreOrder bool,
|
||||
hasSibling bool,
|
||||
autoExpandDepth int,
|
||||
) ([]*model.Span, []string) {
|
||||
|
||||
preOrderTraversal := []*model.Span{}
|
||||
autoExpandedSpans := []string{}
|
||||
|
||||
// sort the children to maintain the order across requests
|
||||
sort.Slice(span.Children, func(i, j int) bool {
|
||||
if span.Children[i].TimeUnixNano == span.Children[j].TimeUnixNano {
|
||||
return span.Children[i].Name < span.Children[j].Name
|
||||
}
|
||||
return span.Children[i].TimeUnixNano < span.Children[j].TimeUnixNano
|
||||
})
|
||||
|
||||
span.SubTreeNodeCount = 0
|
||||
nodeWithoutChildren := model.Span{
|
||||
SpanID: span.SpanID,
|
||||
TraceID: span.TraceID,
|
||||
ServiceName: span.ServiceName,
|
||||
TimeUnixNano: span.TimeUnixNano,
|
||||
Name: span.Name,
|
||||
Kind: int32(span.Kind),
|
||||
DurationNano: span.DurationNano,
|
||||
HasError: span.HasError,
|
||||
StatusMessage: span.StatusMessage,
|
||||
StatusCodeString: span.StatusCodeString,
|
||||
SpanKind: span.SpanKind,
|
||||
References: span.References,
|
||||
Events: span.Events,
|
||||
TagMap: span.TagMap,
|
||||
Children: make([]*model.Span, 0),
|
||||
HasChildren: len(span.Children) > 0,
|
||||
Level: level,
|
||||
HasSiblings: hasSibling,
|
||||
SubTreeNodeCount: 0,
|
||||
}
|
||||
|
||||
if isPartOfPreOrder {
|
||||
preOrderTraversal = append(preOrderTraversal, &nodeWithoutChildren)
|
||||
}
|
||||
|
||||
remainingAutoExpandDepth := 0
|
||||
if span.SpanID == opts.selectedSpanID && opts.isSelectedSpanUncollapsed {
|
||||
remainingAutoExpandDepth = maxDepthForSelectedSpanChildren
|
||||
} else if autoExpandDepth > 0 {
|
||||
remainingAutoExpandDepth = autoExpandDepth - 1
|
||||
}
|
||||
|
||||
_, isAlreadyUncollapsed := opts.uncollapsedSpans[span.SpanID]
|
||||
for index, child := range span.Children {
|
||||
// A child is included in the pre-order output if its parent is uncollapsed
|
||||
// OR if the child falls within MAX_DEPTH_FOR_SELECTED_SPAN_CHILDREN levels
|
||||
// below the selected span.
|
||||
isChildWithinMaxDepth := remainingAutoExpandDepth > 0
|
||||
childIsPartOfPreOrder := opts.selectAll || (isPartOfPreOrder && (isAlreadyUncollapsed || isChildWithinMaxDepth))
|
||||
|
||||
if isPartOfPreOrder && isChildWithinMaxDepth && !isAlreadyUncollapsed {
|
||||
if !slices.Contains(autoExpandedSpans, span.SpanID) {
|
||||
autoExpandedSpans = append(autoExpandedSpans, span.SpanID)
|
||||
}
|
||||
}
|
||||
|
||||
_childTraversal, _autoExpanded := traverseTrace(child, opts, level+1, childIsPartOfPreOrder, index != (len(span.Children)-1), remainingAutoExpandDepth)
|
||||
preOrderTraversal = append(preOrderTraversal, _childTraversal...)
|
||||
autoExpandedSpans = append(autoExpandedSpans, _autoExpanded...)
|
||||
nodeWithoutChildren.SubTreeNodeCount += child.SubTreeNodeCount + 1
|
||||
span.SubTreeNodeCount += child.SubTreeNodeCount + 1
|
||||
}
|
||||
|
||||
nodeWithoutChildren.SubTreeNodeCount += 1
|
||||
return preOrderTraversal, autoExpandedSpans
|
||||
|
||||
}
|
||||
|
||||
func CalculateServiceTime(serviceIntervals map[string][]Interval) map[string]uint64 {
|
||||
totalTimes := make(map[string]uint64)
|
||||
|
||||
for service, serviceIntervals := range serviceIntervals {
|
||||
sort.Slice(serviceIntervals, func(i, j int) bool {
|
||||
return serviceIntervals[i].StartTime < serviceIntervals[j].StartTime
|
||||
})
|
||||
mergedIntervals := mergeIntervals(serviceIntervals)
|
||||
totalTime := uint64(0)
|
||||
for _, interval := range mergedIntervals {
|
||||
totalTime += interval.Duration
|
||||
}
|
||||
totalTimes[service] = totalTime
|
||||
}
|
||||
|
||||
return totalTimes
|
||||
}
|
||||
|
||||
func GetSelectedSpans(uncollapsedSpans []string, selectedSpanID string, traceRoots []*model.Span, spanIdToSpanNodeMap map[string]*model.Span, isSelectedSpanIDUnCollapsed bool) ([]*model.Span, []string, string, string) {
|
||||
|
||||
var preOrderTraversal = make([]*model.Span, 0)
|
||||
var rootServiceName, rootServiceEntryPoint string
|
||||
|
||||
// create a map of uncollapsed spans for quick lookup
|
||||
uncollapsedSpanMap := make(map[string]struct{})
|
||||
for _, spanID := range uncollapsedSpans {
|
||||
uncollapsedSpanMap[spanID] = struct{}{}
|
||||
}
|
||||
|
||||
selectedSpanIndex := -1
|
||||
for _, rootSpanID := range traceRoots {
|
||||
if rootNode, exists := spanIdToSpanNodeMap[rootSpanID.SpanID]; exists {
|
||||
present, spansFromRootToNode := getPathFromRootToSelectedSpanId(rootNode, selectedSpanID)
|
||||
if present {
|
||||
for _, spanID := range spansFromRootToNode {
|
||||
if selectedSpanID == spanID && !isSelectedSpanIDUnCollapsed {
|
||||
continue
|
||||
}
|
||||
uncollapsedSpanMap[spanID] = struct{}{}
|
||||
}
|
||||
}
|
||||
|
||||
opts := traverseOpts{
|
||||
uncollapsedSpans: uncollapsedSpanMap,
|
||||
selectedSpanID: selectedSpanID,
|
||||
isSelectedSpanUncollapsed: isSelectedSpanIDUnCollapsed,
|
||||
}
|
||||
_preOrderTraversal, _autoExpanded := traverseTrace(rootNode, opts, 0, true, false, 0)
|
||||
// Merge auto-expanded spans into updatedUncollapsedSpans for returning in response
|
||||
for _, spanID := range _autoExpanded {
|
||||
uncollapsedSpanMap[spanID] = struct{}{}
|
||||
}
|
||||
_selectedSpanIndex := findIndexForSelectedSpanFromPreOrder(_preOrderTraversal, selectedSpanID)
|
||||
|
||||
if _selectedSpanIndex != -1 {
|
||||
selectedSpanIndex = _selectedSpanIndex + len(preOrderTraversal)
|
||||
}
|
||||
|
||||
preOrderTraversal = append(preOrderTraversal, _preOrderTraversal...)
|
||||
|
||||
if rootServiceName == "" {
|
||||
rootServiceName = rootNode.ServiceName
|
||||
}
|
||||
|
||||
if rootServiceEntryPoint == "" {
|
||||
rootServiceEntryPoint = rootNode.Name
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// if we couldn't find the selectedSpan in the trace then defaulting the selected index to 0
|
||||
if selectedSpanIndex == -1 && selectedSpanID != "" {
|
||||
selectedSpanIndex = 0
|
||||
}
|
||||
|
||||
// get the 0.4*[span limit] before the interested span index
|
||||
startIndex := selectedSpanIndex - int(SPAN_LIMIT_PER_REQUEST_FOR_WATERFALL*0.4)
|
||||
// get the 0.6*[span limit] after the intrested span index
|
||||
endIndex := selectedSpanIndex + int(SPAN_LIMIT_PER_REQUEST_FOR_WATERFALL*0.6)
|
||||
|
||||
// adjust the sliding window according to the available left and right spaces.
|
||||
if startIndex < 0 {
|
||||
endIndex = endIndex - startIndex
|
||||
startIndex = 0
|
||||
}
|
||||
if endIndex > len(preOrderTraversal) {
|
||||
startIndex = startIndex - (endIndex - len(preOrderTraversal))
|
||||
endIndex = len(preOrderTraversal)
|
||||
}
|
||||
if startIndex < 0 {
|
||||
startIndex = 0
|
||||
}
|
||||
|
||||
return preOrderTraversal[startIndex:endIndex], slices.Collect(maps.Keys(uncollapsedSpanMap)), rootServiceName, rootServiceEntryPoint
|
||||
}
|
||||
|
||||
func GetAllSpans(traceRoots []*model.Span) (spans []*model.Span, rootServiceName, rootEntryPoint string) {
|
||||
if len(traceRoots) > 0 {
|
||||
rootServiceName = traceRoots[0].ServiceName
|
||||
rootEntryPoint = traceRoots[0].Name
|
||||
}
|
||||
for _, root := range traceRoots {
|
||||
childSpans, _ := traverseTrace(root, traverseOpts{selectAll: true}, 0, true, false, 0)
|
||||
spans = append(spans, childSpans...)
|
||||
}
|
||||
return
|
||||
}
|
||||
446
pkg/query-service/app/traces/tracedetail/waterfall_test.go
Normal file
446
pkg/query-service/app/traces/tracedetail/waterfall_test.go
Normal file
@@ -0,0 +1,446 @@
|
||||
// Package tracedetail tests — waterfall
|
||||
//
|
||||
// # Background
|
||||
//
|
||||
// The waterfall view renders a trace as a scrollable list of spans in
|
||||
// pre-order (parent before children, siblings left-to-right). Because a trace
|
||||
// can have thousands of spans, only a window of ~500 is returned per request.
|
||||
// The window is centred on the selected span.
|
||||
//
|
||||
// # Key concepts
|
||||
//
|
||||
// uncollapsedSpans
|
||||
//
|
||||
// The set of span IDs the user has manually expanded in the UI.
|
||||
// Only the direct children of an uncollapsed span are included in the
|
||||
// output; grandchildren stay hidden until their parent is also uncollapsed.
|
||||
// When multiple spans are uncollapsed their children are all visible at once.
|
||||
//
|
||||
// selectedSpanID
|
||||
//
|
||||
// The span currently focused — set when the user clicks a span in the
|
||||
// waterfall or selects one from the flamegraph. The output window is always
|
||||
// centred on this span. The path from the trace root down to the selected
|
||||
// span is automatically uncollapsed so ancestors are visible even if they are
|
||||
// not in uncollapsedSpans.
|
||||
//
|
||||
// isSelectedSpanIDUnCollapsed
|
||||
//
|
||||
// Controls whether the selected span's own children are shown:
|
||||
// true — user expanded the span (click-to-open in waterfall or flamegraph);
|
||||
// direct children of the selected span are included.
|
||||
// false — user selected without expanding;
|
||||
// the span is visible but its children remain hidden.
|
||||
//
|
||||
// traceRoots
|
||||
//
|
||||
// Root spans of the trace — spans with no parent in the current dataset.
|
||||
// Normally one, but multiple roots are common when upstream services are
|
||||
// not instrumented or their spans were not sampled/exported.
|
||||
|
||||
package tracedetail
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"testing"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/query-service/model"
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
// Pre-order traversal is preserved: parent before children, siblings left-to-right.
|
||||
func TestGetSelectedSpans_PreOrderTraversal(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("child1", "svc", mkSpan("grandchild", "svc")),
|
||||
mkSpan("child2", "svc"),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, _, _, _ := GetSelectedSpans([]string{"root", "child1"}, "root", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.Equal(t, []string{"root", "child1", "grandchild", "child2"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// Multiple roots: both trees are flattened into a single pre-order list with
|
||||
// root1's subtree before root2's. Service/entry-point come from the first root.
|
||||
//
|
||||
// root1 svc-a ← selected
|
||||
// └─ child1
|
||||
// root2 svc-b
|
||||
// └─ child2
|
||||
//
|
||||
// Expected output order: root1 → child1 → root2 → child2
|
||||
func TestGetSelectedSpans_MultipleRoots(t *testing.T) {
|
||||
root1 := mkSpan("root1", "svc-a", mkSpan("child1", "svc-a"))
|
||||
root2 := mkSpan("root2", "svc-b", mkSpan("child2", "svc-b"))
|
||||
spanMap := buildSpanMap(root1, root2)
|
||||
|
||||
spans, _, svcName, entryPoint := GetSelectedSpans([]string{"root1", "root2"}, "root1", []*model.Span{root1, root2}, spanMap, false)
|
||||
|
||||
assert.Equal(t, []string{"root1", "child1", "root2", "child2"}, spanIDs(spans), "root1 subtree must precede root2 subtree")
|
||||
assert.Equal(t, "svc-a", svcName, "metadata comes from first root")
|
||||
assert.Equal(t, "root1-op", entryPoint, "metadata comes from first root")
|
||||
}
|
||||
|
||||
// Multiple spans uncollapsed simultaneously: children of all uncollapsed spans
|
||||
// are visible at once.
|
||||
//
|
||||
// root
|
||||
// ├─ childA (uncollapsed) → grandchildA ✓
|
||||
// └─ childB (uncollapsed) → grandchildB ✓
|
||||
func TestGetSelectedSpans_MultipleUncollapsed(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("childA", "svc", mkSpan("grandchildA", "svc")),
|
||||
mkSpan("childB", "svc", mkSpan("grandchildB", "svc")),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, _, _, _ := GetSelectedSpans([]string{"root", "childA", "childB"}, "root", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.Equal(t, []string{"root", "childA", "grandchildA", "childB", "grandchildB"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// Collapsing a span with other uncollapsed spans
|
||||
//
|
||||
// root
|
||||
// ├─ childA (previously expanded — in uncollapsedSpans)
|
||||
// │ ├─ grandchild1 ✓
|
||||
// │ │ └─ greatGrandchild ✗ (grandchild1 not in uncollapsedSpans)
|
||||
// │ └─ grandchild2 ✓
|
||||
// └─ childB ← selected (not expanded)
|
||||
func TestGetSelectedSpans_ManualUncollapse(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("childA", "svc",
|
||||
mkSpan("grandchild1", "svc", mkSpan("greatGrandchild", "svc")),
|
||||
mkSpan("grandchild2", "svc"),
|
||||
),
|
||||
mkSpan("childB", "svc"),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
// childA was expanded in a previous interaction; childB is now selected without expanding
|
||||
spans, _, _, _ := GetSelectedSpans([]string{"childA"}, "childB", []*model.Span{root}, spanMap, false)
|
||||
|
||||
// path to childB auto-uncollpases root → childA and childB appear; childA is in
|
||||
// uncollapsedSpans so its children appear; greatGrandchild stays hidden.
|
||||
assert.Equal(t, []string{"root", "childA", "grandchild1", "grandchild2", "childB"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// A collapsed span hides all children.
|
||||
func TestGetSelectedSpans_CollapsedSpan(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("child1", "svc"),
|
||||
mkSpan("child2", "svc"),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, _, _, _ := GetSelectedSpans([]string{}, "root", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.Equal(t, []string{"root"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// Selecting a span auto-uncollpases the path from root to that span so it is visible.
|
||||
//
|
||||
// root → parent → selected
|
||||
func TestGetSelectedSpans_PathToSelectedIsUncollapsed(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("parent", "svc",
|
||||
mkSpan("selected", "svc"),
|
||||
),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
// no manually uncollapsed spans — path should still be opened
|
||||
spans, _, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.Equal(t, []string{"root", "parent", "selected"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// The path-to-selected spans are returned in updatedUncollapsedSpans.
|
||||
func TestGetSelectedSpans_PathReturnedInUncollapsed(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("parent", "svc",
|
||||
mkSpan("selected", "svc"),
|
||||
),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, uncollapsed, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.ElementsMatch(t, []string{"root", "parent"}, uncollapsed)
|
||||
assert.Equal(t, []string{"root", "parent", "selected"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// Siblings of ancestors are rendered as collapsed nodes but their subtrees
|
||||
// must NOT be expanded.
|
||||
//
|
||||
// root
|
||||
// ├─ unrelated → unrelated-child (✗)
|
||||
// └─ parent → selected
|
||||
func TestGetSelectedSpans_SiblingsNotExpanded(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("unrelated", "svc", mkSpan("unrelated-child", "svc")),
|
||||
mkSpan("parent", "svc",
|
||||
mkSpan("selected", "svc"),
|
||||
),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, uncollapsed, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, false)
|
||||
|
||||
// children of root sort alphabetically: parent < unrelated; unrelated-child stays hidden
|
||||
assert.Equal(t, []string{"root", "parent", "selected", "unrelated"}, spanIDs(spans))
|
||||
// only the path nodes are tracked as uncollapsed — unrelated is not
|
||||
assert.ElementsMatch(t, []string{"root", "parent"}, uncollapsed)
|
||||
}
|
||||
|
||||
// An unknown selectedSpanID must not panic; returns a window from index 0.
|
||||
func TestGetSelectedSpans_UnknownSelectedSpan(t *testing.T) {
|
||||
root := mkSpan("root", "svc", mkSpan("child", "svc"))
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, _, _, _ := GetSelectedSpans([]string{}, "nonexistent", []*model.Span{root}, spanMap, false)
|
||||
assert.Equal(t, []string{"root"}, spanIDs(spans))
|
||||
}
|
||||
|
||||
// Test to check if Level, HasChildren, HasSiblings, and SubTreeNodeCount are populated correctly.
|
||||
//
|
||||
// root level=0, hasChildren=true, hasSiblings=false, subTree=4
|
||||
// child1 level=1, hasChildren=true, hasSiblings=true, subTree=2
|
||||
// grandchild level=2, hasChildren=false, hasSiblings=false, subTree=1
|
||||
// child2 level=1, hasChildren=false, hasSiblings=false, subTree=1
|
||||
func TestGetSelectedSpans_SpanMetadata(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("child1", "svc", mkSpan("grandchild", "svc")),
|
||||
mkSpan("child2", "svc"),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, _, _, _ := GetSelectedSpans([]string{"root", "child1"}, "root", []*model.Span{root}, spanMap, false)
|
||||
|
||||
byID := map[string]*model.Span{}
|
||||
for _, s := range spans {
|
||||
byID[s.SpanID] = s
|
||||
}
|
||||
|
||||
assert.Equal(t, uint64(0), byID["root"].Level)
|
||||
assert.Equal(t, uint64(1), byID["child1"].Level)
|
||||
assert.Equal(t, uint64(1), byID["child2"].Level)
|
||||
assert.Equal(t, uint64(2), byID["grandchild"].Level)
|
||||
|
||||
assert.True(t, byID["root"].HasChildren)
|
||||
assert.True(t, byID["child1"].HasChildren)
|
||||
assert.False(t, byID["child2"].HasChildren)
|
||||
assert.False(t, byID["grandchild"].HasChildren)
|
||||
|
||||
assert.False(t, byID["root"].HasSiblings, "root has no siblings")
|
||||
assert.True(t, byID["child1"].HasSiblings, "child1 has sibling child2")
|
||||
assert.False(t, byID["child2"].HasSiblings, "child2 is the last child")
|
||||
assert.False(t, byID["grandchild"].HasSiblings, "grandchild has no siblings")
|
||||
|
||||
assert.Equal(t, uint64(4), byID["root"].SubTreeNodeCount)
|
||||
assert.Equal(t, uint64(2), byID["child1"].SubTreeNodeCount)
|
||||
assert.Equal(t, uint64(1), byID["grandchild"].SubTreeNodeCount)
|
||||
assert.Equal(t, uint64(1), byID["child2"].SubTreeNodeCount)
|
||||
}
|
||||
|
||||
// If the selected span is already in uncollapsedSpans AND isSelectedSpanIDUnCollapsed=true,
|
||||
func TestGetSelectedSpans_DuplicateInUncollapsed(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("selected", "svc", mkSpan("child", "svc")),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
_, uncollapsed, _, _ := GetSelectedSpans(
|
||||
[]string{"selected"}, // already present
|
||||
"selected",
|
||||
[]*model.Span{root}, spanMap,
|
||||
true,
|
||||
)
|
||||
|
||||
count := 0
|
||||
for _, id := range uncollapsed {
|
||||
if id == "selected" {
|
||||
count++
|
||||
}
|
||||
}
|
||||
assert.Equal(t, 1, count, "should appear once")
|
||||
}
|
||||
|
||||
// makeChain builds a linear trace: span0 → span1 → … → span(n-1).
|
||||
// All span IDs are "span0", "span1", … so the caller can reference them by index.
|
||||
func makeChain(n int) (*model.Span, map[string]*model.Span, []string) {
|
||||
spans := make([]*model.Span, n)
|
||||
for i := n - 1; i >= 0; i-- {
|
||||
if i == n-1 {
|
||||
spans[i] = mkSpan(fmt.Sprintf("span%d", i), "svc")
|
||||
} else {
|
||||
spans[i] = mkSpan(fmt.Sprintf("span%d", i), "svc", spans[i+1])
|
||||
}
|
||||
}
|
||||
uncollapsed := make([]string, n)
|
||||
for i := range spans {
|
||||
uncollapsed[i] = fmt.Sprintf("span%d", i)
|
||||
}
|
||||
return spans[0], buildSpanMap(spans[0]), uncollapsed
|
||||
}
|
||||
|
||||
// The selected span is centred: 200 spans before it, 300 after (0.4 / 0.6 split).
|
||||
func TestGetSelectedSpans_WindowCentredOnSelected(t *testing.T) {
|
||||
root, spanMap, uncollapsed := makeChain(600)
|
||||
spans, _, _, _ := GetSelectedSpans(uncollapsed, "span300", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.Equal(t, 500, len(spans), "window should be 500 spans")
|
||||
// window is [100, 600): span300 lands at position 200 (300 - 100)
|
||||
assert.Equal(t, "span100", spans[0].SpanID, "window starts 200 before selected")
|
||||
assert.Equal(t, "span300", spans[200].SpanID, "selected span at position 200 in window")
|
||||
assert.Equal(t, "span599", spans[499].SpanID, "window ends 300 after selected")
|
||||
}
|
||||
|
||||
// When the selected span is near the start, the window shifts right so no
|
||||
// negative index is used — the result is still 500 spans.
|
||||
func TestGetSelectedSpans_WindowShiftsAtStart(t *testing.T) {
|
||||
root, spanMap, uncollapsed := makeChain(600)
|
||||
spans, _, _, _ := GetSelectedSpans(uncollapsed, "span10", []*model.Span{root}, spanMap, false)
|
||||
|
||||
assert.Equal(t, 500, len(spans))
|
||||
assert.Equal(t, "span0", spans[0].SpanID, "window clamped to start of trace")
|
||||
assert.Equal(t, "span10", spans[10].SpanID, "selected span still in window")
|
||||
}
|
||||
|
||||
// Auto-expanded span IDs from ALL branches are returned in
|
||||
// updatedUncollapsedSpans. Only internal nodes (spans with children) are
|
||||
// tracked — leaf spans are never added.
|
||||
//
|
||||
// root (selected)
|
||||
// ├─ childA (internal ✓)
|
||||
// │ └─ grandchildA (internal ✓)
|
||||
// │ └─ leafA (leaf ✗)
|
||||
// └─ childB (internal ✓)
|
||||
// └─ grandchildB (internal ✓)
|
||||
// └─ leafB (leaf ✗)
|
||||
func TestGetSelectedSpans_AutoExpandedSpansReturnedInUncollapsed(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("childA", "svc",
|
||||
mkSpan("grandchildA", "svc",
|
||||
mkSpan("leafA", "svc"),
|
||||
),
|
||||
),
|
||||
mkSpan("childB", "svc",
|
||||
mkSpan("grandchildB", "svc",
|
||||
mkSpan("leafB", "svc"),
|
||||
),
|
||||
),
|
||||
)
|
||||
spanMap := buildSpanMap(root)
|
||||
_, uncollapsed, _, _ := GetSelectedSpans([]string{}, "root", []*model.Span{root}, spanMap, true)
|
||||
|
||||
// all internal nodes across both branches must be tracked
|
||||
assert.Contains(t, uncollapsed, "root")
|
||||
assert.Contains(t, uncollapsed, "childA", "internal node depth 1, branch A")
|
||||
assert.Contains(t, uncollapsed, "childB", "internal node depth 1, branch B")
|
||||
assert.Contains(t, uncollapsed, "grandchildA", "internal node depth 2, branch A")
|
||||
assert.Contains(t, uncollapsed, "grandchildB", "internal node depth 2, branch B")
|
||||
// leaves have no children to show — never added to uncollapsedSpans
|
||||
assert.NotContains(t, uncollapsed, "leafA", "leaf spans are never added to uncollapsedSpans")
|
||||
assert.NotContains(t, uncollapsed, "leafB", "leaf spans are never added to uncollapsedSpans")
|
||||
}
|
||||
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
// maxDepthForSelectedSpanChildren boundary tests
|
||||
// ─────────────────────────────────────────────────────────────────────────────
|
||||
|
||||
// Depth is measured from the selected span, not the trace root.
|
||||
// Ancestors appear via the path-to-root logic, not the depth limit.
|
||||
// Each depth level has two children to confirm the limit is enforced on all
|
||||
// branches, not just the first.
|
||||
//
|
||||
// root
|
||||
// └─ A ancestor ✓ (path-to-root)
|
||||
// └─ selected
|
||||
// ├─ d1a depth 1 ✓
|
||||
// │ ├─ d2a depth 2 ✓
|
||||
// │ │ ├─ d3a depth 3 ✓
|
||||
// │ │ │ ├─ d4a depth 4 ✓
|
||||
// │ │ │ │ ├─ d5a depth 5 ✓
|
||||
// │ │ │ │ │ └─ d6a depth 6 ✗
|
||||
// │ │ │ │ └─ d5b depth 5 ✓
|
||||
// │ │ │ └─ d4b depth 4 ✓
|
||||
// │ │ └─ d3b depth 3 ✓
|
||||
// │ └─ d2b depth 2 ✓
|
||||
// └─ d1b depth 1 ✓
|
||||
func TestGetSelectedSpans_DepthCountedFromSelectedSpan(t *testing.T) {
|
||||
selected := mkSpan("selected", "svc",
|
||||
mkSpan("d1a", "svc",
|
||||
mkSpan("d2a", "svc",
|
||||
mkSpan("d3a", "svc",
|
||||
mkSpan("d4a", "svc",
|
||||
mkSpan("d5a", "svc",
|
||||
mkSpan("d6a", "svc"), // depth 6 — excluded
|
||||
),
|
||||
mkSpan("d5b", "svc"), // depth 5 — included
|
||||
),
|
||||
mkSpan("d4b", "svc"), // depth 4 — included
|
||||
),
|
||||
mkSpan("d3b", "svc"), // depth 3 — included
|
||||
),
|
||||
mkSpan("d2b", "svc"), // depth 2 — included
|
||||
),
|
||||
mkSpan("d1b", "svc"), // depth 1 — included
|
||||
)
|
||||
root := mkSpan("root", "svc", mkSpan("A", "svc", selected))
|
||||
|
||||
spanMap := buildSpanMap(root)
|
||||
spans, _, _, _ := GetSelectedSpans([]string{}, "selected", []*model.Span{root}, spanMap, true)
|
||||
ids := spanIDs(spans)
|
||||
|
||||
assert.Contains(t, ids, "root", "ancestor shown via path-to-root")
|
||||
assert.Contains(t, ids, "A", "ancestor shown via path-to-root")
|
||||
for _, id := range []string{"d1a", "d1b", "d2a", "d2b", "d3a", "d3b", "d4a", "d4b", "d5a", "d5b"} {
|
||||
assert.Contains(t, ids, id, "depth ≤ 5 — must be included")
|
||||
}
|
||||
assert.NotContains(t, ids, "d6a", "depth 6 > limit — excluded")
|
||||
}
|
||||
|
||||
func TestGetAllSpans(t *testing.T) {
|
||||
root := mkSpan("root", "svc",
|
||||
mkSpan("childA", "svc",
|
||||
mkSpan("grandchildA", "svc",
|
||||
mkSpan("leafA", "svc2"),
|
||||
),
|
||||
),
|
||||
mkSpan("childB", "svc3",
|
||||
mkSpan("grandchildB", "svc",
|
||||
mkSpan("leafB", "svc2"),
|
||||
),
|
||||
),
|
||||
)
|
||||
spans, rootServiceName, rootEntryPoint := GetAllSpans([]*model.Span{root})
|
||||
assert.ElementsMatch(t, spanIDs(spans), []string{"root", "childA", "grandchildA", "leafA", "childB", "grandchildB", "leafB"})
|
||||
assert.Equal(t, rootServiceName, "svc")
|
||||
assert.Equal(t, rootEntryPoint, "root-op")
|
||||
}
|
||||
|
||||
func mkSpan(id, service string, children ...*model.Span) *model.Span {
|
||||
return &model.Span{
|
||||
SpanID: id,
|
||||
ServiceName: service,
|
||||
Name: id + "-op",
|
||||
Children: children,
|
||||
}
|
||||
}
|
||||
|
||||
// spanIDs returns SpanIDs in order.
|
||||
func spanIDs(spans []*model.Span) []string {
|
||||
ids := make([]string, len(spans))
|
||||
for i, s := range spans {
|
||||
ids[i] = s.SpanID
|
||||
}
|
||||
return ids
|
||||
}
|
||||
|
||||
// buildSpanMap indexes every span in a set of trees by SpanID.
|
||||
func buildSpanMap(roots ...*model.Span) map[string]*model.Span {
|
||||
m := map[string]*model.Span{}
|
||||
var walk func(*model.Span)
|
||||
walk = func(s *model.Span) {
|
||||
m[s.SpanID] = s
|
||||
for _, c := range s.Children {
|
||||
walk(c)
|
||||
}
|
||||
}
|
||||
for _, r := range roots {
|
||||
walk(r)
|
||||
}
|
||||
return m
|
||||
}
|
||||
@@ -43,6 +43,7 @@ type Reader interface {
|
||||
|
||||
// Search Interfaces
|
||||
SearchTraces(ctx context.Context, params *model.SearchTracesParams) (*[]model.SearchSpansResult, error)
|
||||
GetWaterfallSpansForTraceWithMetadata(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetWaterfallSpansForTraceWithMetadataParams) (*model.GetWaterfallSpansForTraceWithMetadataResponse, error)
|
||||
GetFlamegraphSpansForTrace(ctx context.Context, orgID valuer.UUID, traceID string, req *model.GetFlamegraphSpansForTraceParams) (*model.GetFlamegraphSpansForTraceResponse, error)
|
||||
|
||||
// Setter Interfaces
|
||||
|
||||
@@ -2,10 +2,57 @@ package model
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"maps"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/cachetypes"
|
||||
)
|
||||
|
||||
type GetWaterfallSpansForTraceWithMetadataCache struct {
|
||||
StartTime uint64 `json:"startTime"`
|
||||
EndTime uint64 `json:"endTime"`
|
||||
DurationNano uint64 `json:"durationNano"`
|
||||
TotalSpans uint64 `json:"totalSpans"`
|
||||
TotalErrorSpans uint64 `json:"totalErrorSpans"`
|
||||
ServiceNameToTotalDurationMap map[string]uint64 `json:"serviceNameToTotalDurationMap"`
|
||||
SpanIdToSpanNodeMap map[string]*Span `json:"spanIdToSpanNodeMap"`
|
||||
TraceRoots []*Span `json:"traceRoots"`
|
||||
HasMissingSpans bool `json:"hasMissingSpans"`
|
||||
}
|
||||
|
||||
func (c *GetWaterfallSpansForTraceWithMetadataCache) Clone() cachetypes.Cacheable {
|
||||
copyOfServiceNameToTotalDurationMap := make(map[string]uint64)
|
||||
maps.Copy(copyOfServiceNameToTotalDurationMap, c.ServiceNameToTotalDurationMap)
|
||||
|
||||
copyOfSpanIdToSpanNodeMap := make(map[string]*Span)
|
||||
maps.Copy(copyOfSpanIdToSpanNodeMap, c.SpanIdToSpanNodeMap)
|
||||
|
||||
copyOfTraceRoots := make([]*Span, len(c.TraceRoots))
|
||||
copy(copyOfTraceRoots, c.TraceRoots)
|
||||
return &GetWaterfallSpansForTraceWithMetadataCache{
|
||||
StartTime: c.StartTime,
|
||||
EndTime: c.EndTime,
|
||||
DurationNano: c.DurationNano,
|
||||
TotalSpans: c.TotalSpans,
|
||||
TotalErrorSpans: c.TotalErrorSpans,
|
||||
ServiceNameToTotalDurationMap: copyOfServiceNameToTotalDurationMap,
|
||||
SpanIdToSpanNodeMap: copyOfSpanIdToSpanNodeMap,
|
||||
TraceRoots: copyOfTraceRoots,
|
||||
HasMissingSpans: c.HasMissingSpans,
|
||||
}
|
||||
}
|
||||
|
||||
func (c *GetWaterfallSpansForTraceWithMetadataCache) Cost() int64 {
|
||||
const perSpanBytes = 256
|
||||
return int64(c.TotalSpans) * perSpanBytes
|
||||
}
|
||||
|
||||
func (c *GetWaterfallSpansForTraceWithMetadataCache) MarshalBinary() (data []byte, err error) {
|
||||
return json.Marshal(c)
|
||||
}
|
||||
func (c *GetWaterfallSpansForTraceWithMetadataCache) UnmarshalBinary(data []byte) error {
|
||||
return json.Unmarshal(data, c)
|
||||
}
|
||||
|
||||
type GetFlamegraphSpansForTraceCache struct {
|
||||
StartTime uint64 `json:"startTime"`
|
||||
EndTime uint64 `json:"endTime"`
|
||||
|
||||
@@ -331,6 +331,13 @@ type SearchTracesParams struct {
|
||||
MaxSpansInTrace int `json:"maxSpansInTrace"`
|
||||
}
|
||||
|
||||
type GetWaterfallSpansForTraceWithMetadataParams struct {
|
||||
SelectedSpanID string `json:"selectedSpanId"`
|
||||
IsSelectedSpanIDUnCollapsed bool `json:"isSelectedSpanIDUnCollapsed"`
|
||||
UncollapsedSpans []string `json:"uncollapsedSpans"`
|
||||
Limit uint `json:"limit"`
|
||||
}
|
||||
|
||||
type GetFlamegraphSpansForTraceParams struct {
|
||||
SelectedSpanID string `json:"selectedSpanId"`
|
||||
Limit uint `json:"limit"`
|
||||
|
||||
@@ -332,6 +332,22 @@ func (s *FlamegraphSpan) SetRequestedFields(item SpanItemV2, fields []telemetryt
|
||||
}
|
||||
}
|
||||
|
||||
type GetWaterfallSpansForTraceWithMetadataResponse struct {
|
||||
StartTimestampMillis uint64 `json:"startTimestampMillis"`
|
||||
EndTimestampMillis uint64 `json:"endTimestampMillis"`
|
||||
DurationNano uint64 `json:"durationNano"`
|
||||
RootServiceName string `json:"rootServiceName"`
|
||||
RootServiceEntryPoint string `json:"rootServiceEntryPoint"`
|
||||
TotalSpansCount uint64 `json:"totalSpansCount"`
|
||||
TotalErrorSpansCount uint64 `json:"totalErrorSpansCount"`
|
||||
ServiceNameToTotalDurationMap map[string]uint64 `json:"serviceNameToTotalDurationMap"`
|
||||
Spans []*Span `json:"spans"`
|
||||
HasMissingSpans bool `json:"hasMissingSpans"`
|
||||
// this is needed for frontend and query service sync
|
||||
UncollapsedSpans []string `json:"uncollapsedSpans"`
|
||||
HasMore bool `json:"hasMore"`
|
||||
}
|
||||
|
||||
type GetFlamegraphSpansForTraceResponse struct {
|
||||
StartTimestampMillis uint64 `json:"startTimestampMillis"`
|
||||
EndTimestampMillis uint64 `json:"endTimestampMillis"`
|
||||
|
||||
251
pkg/types/spantypes/aggregation_test.go
Normal file
251
pkg/types/spantypes/aggregation_test.go
Normal file
@@ -0,0 +1,251 @@
|
||||
package spantypes
|
||||
|
||||
import (
|
||||
"testing"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
"github.com/stretchr/testify/assert"
|
||||
)
|
||||
|
||||
// mkASpan builds a WaterfallSpan with timing and field data for analytics tests.
|
||||
func mkASpan(id string, resource map[string]string, attributes map[string]any, startNs, durationNs uint64) *WaterfallSpan {
|
||||
return &WaterfallSpan{
|
||||
SpanID: id,
|
||||
Resource: resource,
|
||||
Attributes: attributes,
|
||||
TimeUnix: startNs,
|
||||
DurationNano: durationNs,
|
||||
Children: make([]*WaterfallSpan, 0),
|
||||
}
|
||||
}
|
||||
|
||||
func buildTraceFromSpans(spans ...*WaterfallSpan) *WaterfallTrace {
|
||||
spanMap := make(map[string]*WaterfallSpan, len(spans))
|
||||
var startTime, endTime uint64
|
||||
initialized := false
|
||||
for _, s := range spans {
|
||||
spanMap[s.SpanID] = s
|
||||
if !initialized || s.TimeUnix < startTime {
|
||||
startTime = s.TimeUnix
|
||||
initialized = true
|
||||
}
|
||||
if end := s.TimeUnix + s.DurationNano; end > endTime {
|
||||
endTime = end
|
||||
}
|
||||
}
|
||||
return NewWaterfallTrace(startTime, endTime, uint64(len(spanMap)), 0, spanMap, nil, false)
|
||||
}
|
||||
|
||||
var (
|
||||
fieldServiceName = telemetrytypes.TelemetryFieldKey{
|
||||
Name: "service.name",
|
||||
FieldContext: telemetrytypes.FieldContextResource,
|
||||
}
|
||||
fieldHTTPMethod = telemetrytypes.TelemetryFieldKey{
|
||||
Name: "http.method",
|
||||
FieldContext: telemetrytypes.FieldContextAttribute,
|
||||
}
|
||||
fieldCached = telemetrytypes.TelemetryFieldKey{
|
||||
Name: "db.cached",
|
||||
FieldContext: telemetrytypes.FieldContextAttribute,
|
||||
}
|
||||
)
|
||||
|
||||
func TestGetSpanAggregation_SpanCount(t *testing.T) {
|
||||
tests := []struct {
|
||||
name string
|
||||
trace *WaterfallTrace
|
||||
field telemetrytypes.TelemetryFieldKey
|
||||
want map[string]uint64
|
||||
}{
|
||||
{
|
||||
name: "counts by resource field",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{"service.name": "frontend"}, nil, 10, 5),
|
||||
mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 20, 8),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"frontend": 2, "backend": 1},
|
||||
},
|
||||
{
|
||||
name: "counts by string attribute field",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", nil, map[string]any{"http.method": "GET"}, 0, 10),
|
||||
mkASpan("s2", nil, map[string]any{"http.method": "POST"}, 10, 5),
|
||||
mkASpan("s3", nil, map[string]any{"http.method": "GET"}, 20, 8),
|
||||
),
|
||||
field: fieldHTTPMethod,
|
||||
want: map[string]uint64{"GET": 2, "POST": 1},
|
||||
},
|
||||
{
|
||||
name: "counts by boolean attribute field",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", nil, map[string]any{"db.cached": true}, 0, 10),
|
||||
mkASpan("s2", nil, map[string]any{"db.cached": false}, 10, 5),
|
||||
mkASpan("s3", nil, map[string]any{"db.cached": true}, 20, 8),
|
||||
),
|
||||
field: fieldCached,
|
||||
want: map[string]uint64{"true": 2, "false": 1},
|
||||
},
|
||||
{
|
||||
name: "spans missing the field are excluded",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{}, nil, 10, 5), // no service.name
|
||||
mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 20, 8),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"frontend": 1, "backend": 1},
|
||||
},
|
||||
{
|
||||
// empty string is a valid field value — counted under the "" key, unlike a missing field
|
||||
name: "span with empty service.name is counted under empty string key",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{"service.name": ""}, nil, 10, 5),
|
||||
mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 20, 8),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"frontend": 1, "backend": 1, "": 1},
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range tests {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
result := tc.trace.GetSpanAggregation(SpanAggregationSpanCount, tc.field)
|
||||
assert.Equal(t, tc.field, result.Field)
|
||||
assert.Equal(t, SpanAggregationSpanCount, result.Aggregation)
|
||||
assert.Equal(t, tc.want, result.Value)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestGetSpanAggregation_Duration(t *testing.T) {
|
||||
tests := []struct {
|
||||
name string
|
||||
trace *WaterfallTrace
|
||||
field telemetrytypes.TelemetryFieldKey
|
||||
want map[string]uint64
|
||||
}{
|
||||
{
|
||||
name: "non-overlapping spans — merged equals sum",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "frontend"}, nil, 0, 100),
|
||||
mkASpan("s2", map[string]string{"service.name": "frontend"}, nil, 100, 50),
|
||||
mkASpan("s3", map[string]string{"service.name": "backend"}, nil, 0, 80),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"frontend": 150, "backend": 80},
|
||||
},
|
||||
{
|
||||
name: "non-overlapping attribute groups — merged equals sum",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", nil, map[string]any{"http.method": "GET"}, 0, 30),
|
||||
mkASpan("s2", nil, map[string]any{"http.method": "GET"}, 50, 20),
|
||||
mkASpan("s3", nil, map[string]any{"http.method": "POST"}, 0, 70),
|
||||
),
|
||||
field: fieldHTTPMethod,
|
||||
want: map[string]uint64{"GET": 50, "POST": 70},
|
||||
},
|
||||
{
|
||||
name: "overlapping spans — non-overlapping interval merge",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 5, 10),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"svc": 15}, // [0,10] ∪ [5,15] = [0,15]
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range tests {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
result := tc.trace.GetSpanAggregation(SpanAggregationDuration, tc.field)
|
||||
assert.Equal(t, tc.field, result.Field)
|
||||
assert.Equal(t, SpanAggregationDuration, result.Aggregation)
|
||||
assert.Equal(t, tc.want, result.Value)
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestGetSpanAggregation_ExecutionTimePercentage(t *testing.T) {
|
||||
tests := []struct {
|
||||
name string
|
||||
trace *WaterfallTrace
|
||||
field telemetrytypes.TelemetryFieldKey
|
||||
want map[string]uint64
|
||||
}{
|
||||
{
|
||||
// trace [0,30]: svc occupies [0,10]+[20,30]=20 → 20*100/30 = 66%
|
||||
name: "non-overlapping spans",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 20, 10),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"svc": 66},
|
||||
},
|
||||
{
|
||||
// trace [0,15]: svc [0,15]=15 → 100%
|
||||
name: "partially overlapping spans",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 5, 10),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"svc": 100},
|
||||
},
|
||||
{
|
||||
// trace [0,20]: outer absorbs inner → 100%
|
||||
name: "fully contained span",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("outer", map[string]string{"service.name": "svc"}, nil, 0, 20),
|
||||
mkASpan("inner", map[string]string{"service.name": "svc"}, nil, 5, 5),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"svc": 100},
|
||||
},
|
||||
{
|
||||
// trace [0,30]: svc [0,15]+[20,30]=25 → 25*100/30 = 83%
|
||||
name: "three spans with two merges",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 0, 10),
|
||||
mkASpan("s2", map[string]string{"service.name": "svc"}, nil, 5, 10),
|
||||
mkASpan("s3", map[string]string{"service.name": "svc"}, nil, 20, 10),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"svc": 83},
|
||||
},
|
||||
{
|
||||
// trace [0,28]: frontend [0,15]=15 → 53%, backend [0,5]+[20,28]=13 → 46%
|
||||
name: "independent groups are computed separately",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("a1", map[string]string{"service.name": "frontend"}, nil, 0, 10),
|
||||
mkASpan("a2", map[string]string{"service.name": "frontend"}, nil, 5, 10),
|
||||
mkASpan("b1", map[string]string{"service.name": "backend"}, nil, 0, 5),
|
||||
mkASpan("b2", map[string]string{"service.name": "backend"}, nil, 20, 8),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"frontend": 53, "backend": 46},
|
||||
},
|
||||
{
|
||||
// trace [100,150]: svc [100,150]=50 → 100%
|
||||
name: "single span",
|
||||
trace: buildTraceFromSpans(
|
||||
mkASpan("s1", map[string]string{"service.name": "svc"}, nil, 100, 50),
|
||||
),
|
||||
field: fieldServiceName,
|
||||
want: map[string]uint64{"svc": 100},
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range tests {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
result := tc.trace.GetSpanAggregation(SpanAggregationExecutionTimePercentage, tc.field)
|
||||
assert.Equal(t, tc.field, result.Field)
|
||||
assert.Equal(t, SpanAggregationExecutionTimePercentage, result.Aggregation)
|
||||
assert.Equal(t, tc.want, result.Value)
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -21,13 +21,28 @@ const (
|
||||
// ErrTraceNotFound is returned when a trace ID has no matching spans in ClickHouse.
|
||||
var ErrTraceNotFound = errors.NewNotFoundf(errors.CodeNotFound, "trace not found")
|
||||
|
||||
// PostableWaterfall is the request body for the waterfall API.
|
||||
// PostableWaterfall is the request body for the v3 waterfall API.
|
||||
type PostableWaterfall struct {
|
||||
SelectedSpanID string `json:"selectedSpanId"`
|
||||
UncollapsedSpans []string `json:"uncollapsedSpans"`
|
||||
SelectedSpanID string `json:"selectedSpanId"`
|
||||
UncollapsedSpans []string `json:"uncollapsedSpans"`
|
||||
Limit uint `json:"limit"`
|
||||
Aggregations []SpanAggregation `json:"aggregations"`
|
||||
}
|
||||
|
||||
func (p *PostableWaterfall) Validate() error {
|
||||
if len(p.Aggregations) > maxAggregationItems {
|
||||
return ErrTooManyAggregationItems
|
||||
}
|
||||
for _, a := range p.Aggregations {
|
||||
if !a.Aggregation.isValid() {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "unknown aggregation type: %q", a.Aggregation)
|
||||
}
|
||||
fc := a.Field.FieldContext
|
||||
if fc != telemetrytypes.FieldContextResource && fc != telemetrytypes.FieldContextAttribute {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "aggregation field context must be %q or %q, got %q",
|
||||
telemetrytypes.FieldContextResource, telemetrytypes.FieldContextAttribute, fc)
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
|
||||
@@ -8,6 +8,7 @@ import (
|
||||
"time"
|
||||
|
||||
"github.com/SigNoz/signoz/pkg/types/cachetypes"
|
||||
"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
|
||||
)
|
||||
|
||||
type TraceSummary struct {
|
||||
@@ -28,18 +29,19 @@ type WaterfallTrace struct {
|
||||
HasMissingSpans bool `json:"hasMissingSpans"`
|
||||
}
|
||||
|
||||
// GettableWaterfallTrace is the response for the waterfall API.
|
||||
// GettableWaterfallTrace is the response for the v3 waterfall API.
|
||||
type GettableWaterfallTrace struct {
|
||||
StartTimestampMillis uint64 `json:"startTimestampMillis"`
|
||||
EndTimestampMillis uint64 `json:"endTimestampMillis"`
|
||||
RootServiceName string `json:"rootServiceName"`
|
||||
RootServiceEntryPoint string `json:"rootServiceEntryPoint"`
|
||||
TotalSpansCount uint64 `json:"totalSpansCount"`
|
||||
TotalErrorSpansCount uint64 `json:"totalErrorSpansCount"`
|
||||
Spans []*WaterfallSpan `json:"spans"`
|
||||
HasMissingSpans bool `json:"hasMissingSpans"`
|
||||
UncollapsedSpans []string `json:"uncollapsedSpans"`
|
||||
HasMore bool `json:"hasMore"`
|
||||
StartTimestampMillis uint64 `json:"startTimestampMillis"`
|
||||
EndTimestampMillis uint64 `json:"endTimestampMillis"`
|
||||
RootServiceName string `json:"rootServiceName"`
|
||||
RootServiceEntryPoint string `json:"rootServiceEntryPoint"`
|
||||
TotalSpansCount uint64 `json:"totalSpansCount"`
|
||||
TotalErrorSpansCount uint64 `json:"totalErrorSpansCount"`
|
||||
Spans []*WaterfallSpan `json:"spans"`
|
||||
HasMissingSpans bool `json:"hasMissingSpans"`
|
||||
UncollapsedSpans []string `json:"uncollapsedSpans"`
|
||||
HasMore bool `json:"hasMore"`
|
||||
Aggregations []SpanAggregationResult `json:"aggregations"`
|
||||
}
|
||||
|
||||
// NewWaterfallTrace constructs a WaterfallTrace from processed span data.
|
||||
@@ -120,6 +122,23 @@ func NewWaterfallTraceFromSpans(nodes []*WaterfallSpan) *WaterfallTrace {
|
||||
)
|
||||
}
|
||||
|
||||
func (wt *WaterfallTrace) GetWaterfallSpans(uncollapsedSpanIDs []string, selectedSpanID string, limit uint, spanPageSize float64, maxDepthToAutoExpand int) ([]*WaterfallSpan, []string, bool) {
|
||||
// Span selection decision: all spans or windowed
|
||||
selectAllSpans := wt.TotalSpans <= uint64(limit)
|
||||
|
||||
var (
|
||||
selectedSpans []*WaterfallSpan
|
||||
uncollapsedSpans []string
|
||||
)
|
||||
|
||||
if selectAllSpans {
|
||||
selectedSpans = wt.GetAllSpans()
|
||||
} else {
|
||||
selectedSpans, uncollapsedSpans = wt.GetSelectedSpans(uncollapsedSpanIDs, selectedSpanID, spanPageSize, maxDepthToAutoExpand)
|
||||
}
|
||||
return selectedSpans, uncollapsedSpans, selectAllSpans
|
||||
}
|
||||
|
||||
// GetAllSpans returns all spans with pre order traversal.
|
||||
func (wt *WaterfallTrace) GetAllSpans() []*WaterfallSpan {
|
||||
var preOrderedSpans []*WaterfallSpan
|
||||
@@ -218,6 +237,7 @@ func NewGettableWaterfallTrace(
|
||||
selectedSpans []*WaterfallSpan,
|
||||
uncollapsedSpans []string,
|
||||
selectAllSpans bool,
|
||||
aggregations []SpanAggregationResult,
|
||||
) *GettableWaterfallTrace {
|
||||
var rootServiceName, rootServiceEntryPoint string
|
||||
if len(traceData.TraceRoots) > 0 {
|
||||
@@ -230,6 +250,15 @@ func NewGettableWaterfallTrace(
|
||||
span.TimeUnix = span.TimeUnix / 1_000_000
|
||||
}
|
||||
|
||||
// duration values are in nanoseconds; convert in-place to milliseconds.
|
||||
for i := range aggregations {
|
||||
if aggregations[i].Aggregation == SpanAggregationDuration {
|
||||
for k, v := range aggregations[i].Value {
|
||||
aggregations[i].Value[k] = v / 1_000_000
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return &GettableWaterfallTrace{
|
||||
Spans: selectedSpans,
|
||||
UncollapsedSpans: uncollapsedSpans,
|
||||
@@ -241,6 +270,7 @@ func NewGettableWaterfallTrace(
|
||||
RootServiceEntryPoint: rootServiceEntryPoint,
|
||||
HasMissingSpans: traceData.HasMissingSpans,
|
||||
HasMore: !selectAllSpans,
|
||||
Aggregations: aggregations,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -262,3 +292,78 @@ func windowAroundIndex(selectedIndex, total int, spanLimitPerRequest float64) (s
|
||||
start = max(start, 0)
|
||||
return
|
||||
}
|
||||
|
||||
// mergeSpanIntervals computes non-overlapping execution time for a set of spans.
|
||||
func mergeSpanIntervals(spans []*WaterfallSpan) uint64 {
|
||||
if len(spans) == 0 {
|
||||
return 0
|
||||
}
|
||||
sort.Slice(spans, func(i, j int) bool {
|
||||
return spans[i].TimeUnix < spans[j].TimeUnix
|
||||
})
|
||||
|
||||
currentStart := spans[0].TimeUnix
|
||||
currentEnd := currentStart + spans[0].DurationNano
|
||||
total := uint64(0)
|
||||
|
||||
for _, span := range spans[1:] {
|
||||
startNano := span.TimeUnix
|
||||
endNano := startNano + span.DurationNano
|
||||
if currentEnd >= startNano {
|
||||
if endNano > currentEnd {
|
||||
currentEnd = endNano
|
||||
}
|
||||
} else {
|
||||
total += currentEnd - currentStart
|
||||
currentStart = startNano
|
||||
currentEnd = endNano
|
||||
}
|
||||
}
|
||||
return total + (currentEnd - currentStart)
|
||||
}
|
||||
|
||||
// GetSpanAggregation computes one aggregation result over all spans in the trace.
|
||||
// Duration values are returned in nanoseconds; callers convert to milliseconds as needed.
|
||||
func (wt *WaterfallTrace) GetSpanAggregation(aggregation SpanAggregationType, field telemetrytypes.TelemetryFieldKey) SpanAggregationResult {
|
||||
result := SpanAggregationResult{
|
||||
Field: field,
|
||||
Aggregation: aggregation,
|
||||
Value: make(map[string]uint64),
|
||||
}
|
||||
|
||||
switch aggregation {
|
||||
case SpanAggregationSpanCount:
|
||||
for _, span := range wt.SpanIDToSpanNodeMap {
|
||||
if key, ok := span.FieldValue(field); ok {
|
||||
result.Value[key]++
|
||||
}
|
||||
}
|
||||
|
||||
case SpanAggregationDuration:
|
||||
spansByField := make(map[string][]*WaterfallSpan)
|
||||
for _, span := range wt.SpanIDToSpanNodeMap {
|
||||
if key, ok := span.FieldValue(field); ok {
|
||||
spansByField[key] = append(spansByField[key], span)
|
||||
}
|
||||
}
|
||||
for key, spans := range spansByField {
|
||||
result.Value[key] = mergeSpanIntervals(spans)
|
||||
}
|
||||
|
||||
case SpanAggregationExecutionTimePercentage:
|
||||
traceDuration := wt.EndTime - wt.StartTime
|
||||
spansByField := make(map[string][]*WaterfallSpan)
|
||||
for _, span := range wt.SpanIDToSpanNodeMap {
|
||||
if key, ok := span.FieldValue(field); ok {
|
||||
spansByField[key] = append(spansByField[key], span)
|
||||
}
|
||||
}
|
||||
if traceDuration > 0 {
|
||||
for key, spans := range spansByField {
|
||||
result.Value[key] = mergeSpanIntervals(spans) * 100 / traceDuration
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
@@ -1,288 +0,0 @@
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-gcp-prod-acc-c1-n1-p-uid", "k8s.pod.name": "web-gcp-prod-acc-c1-n1-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "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": "web-gcp-prod-acc-c1-n1-p-uid", "k8s.pod.name": "web-gcp-prod-acc-c1-n1-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "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": "web-gcp-prod-acc-c1-n1-p-uid", "k8s.pod.name": "web-gcp-prod-acc-c1-n1-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.node.uid": "web-gcp-prod-acc-c1-n2-uid", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "web-gcp-prod-acc-c1-n2-p-uid", "k8s.pod.name": "web-gcp-prod-acc-c1-n2-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "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": "web-gcp-prod-acc-c1-n2-p-uid", "k8s.pod.name": "web-gcp-prod-acc-c1-n2-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "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": "web-gcp-prod-acc-c1-n2-p-uid", "k8s.pod.name": "web-gcp-prod-acc-c1-n2-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "web-gcp-prod-acc-c1-n2", "k8s.cluster.name": "web-gcp-prod", "cloud.provider": "gcp", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-dev-acc-c1-n1", "k8s.node.uid": "web-gcp-dev-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-dev", "cloud.provider": "gcp", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-dev-acc-c1-n1", "k8s.node.uid": "web-gcp-dev-acc-c1-n1-uid", "k8s.cluster.name": "web-gcp-dev", "cloud.provider": "gcp", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0.5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
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{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_cpu", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 4.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.memory.working_set", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.allocatable_memory", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 8000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.node.condition_ready", "labels": {"k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.node.uid": "api-aws-dev-acc-c1-n2-uid", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "api-aws-dev-acc-c1-n2-p-uid", "k8s.pod.name": "api-aws-dev-acc-c1-n2-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "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": "api-aws-dev-acc-c1-n2-p-uid", "k8s.pod.name": "api-aws-dev-acc-c1-n2-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "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": "api-aws-dev-acc-c1-n2-p-uid", "k8s.pod.name": "api-aws-dev-acc-c1-n2-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "api-aws-dev-acc-c1-n2", "k8s.cluster.name": "api-aws-dev", "cloud.provider": "aws", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 2, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
@@ -1,72 +0,0 @@
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-gcp-1","k8s.node.uid":"node-gb-gcp-1-uid","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-gcp-1-uid","k8s.pod.name":"pod-gb-gcp-1","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-gcp-1","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"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":"pod-gb-gcp-1-uid","k8s.pod.name":"pod-gb-gcp-1","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-gcp-1","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"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":"pod-gb-gcp-1-uid","k8s.pod.name":"pod-gb-gcp-1","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-gcp-1","k8s.cluster.name":"gb-gcp-1","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-gcp-2","k8s.node.uid":"node-gb-gcp-2-uid","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-gcp-2-uid","k8s.pod.name":"pod-gb-gcp-2","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-gcp-2","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"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":"pod-gb-gcp-2-uid","k8s.pod.name":"pod-gb-gcp-2","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-gcp-2","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"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":"pod-gb-gcp-2-uid","k8s.pod.name":"pod-gb-gcp-2","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-gcp-2","k8s.cluster.name":"gb-gcp-2","cloud.provider":"gcp"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-aws-1","k8s.node.uid":"node-gb-aws-1-uid","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-aws-1-uid","k8s.pod.name":"pod-gb-aws-1","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-aws-1","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"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":"pod-gb-aws-1-uid","k8s.pod.name":"pod-gb-aws-1","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-aws-1","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"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":"pod-gb-aws-1-uid","k8s.pod.name":"pod-gb-aws-1","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-aws-1","k8s.cluster.name":"gb-aws-1","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"node-gb-aws-2","k8s.node.uid":"node-gb-aws-2-uid","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-aws-2-uid","k8s.pod.name":"pod-gb-aws-2","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-aws-2","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"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":"pod-gb-aws-2-uid","k8s.pod.name":"pod-gb-aws-2","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-aws-2","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"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":"pod-gb-aws-2-uid","k8s.pod.name":"pod-gb-aws-2","k8s.namespace.name":"ns-x","k8s.node.name":"node-gb-aws-2","k8s.cluster.name":"gb-aws-2","cloud.provider":"aws"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,3 +0,0 @@
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n","k8s.node.uid":"miss-n-uid","k8s.cluster.name":"miss-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n","k8s.node.uid":"miss-n-uid","k8s.cluster.name":"miss-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n","k8s.node.uid":"miss-n-uid","k8s.cluster.name":"miss-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,78 +0,0 @@
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-2","k8s.node.uid":"rn-ready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-ready-3","k8s.node.uid":"rn-ready-3-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-notready-1","k8s.node.uid":"rn-notready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"rn-notready-2","k8s.node.uid":"rn-notready-2-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"rn-pod-uid","k8s.pod.name":"rn-pod","k8s.namespace.name":"ns-x","k8s.node.name":"rn-ready-1","k8s.cluster.name":"rn-cluster"},"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":"rn-pod-uid","k8s.pod.name":"rn-pod","k8s.namespace.name":"ns-x","k8s.node.name":"rn-ready-1","k8s.cluster.name":"rn-cluster"},"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":"rn-pod-uid","k8s.pod.name":"rn-pod","k8s.namespace.name":"ns-x","k8s.node.name":"rn-ready-1","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,90 +0,0 @@
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:00:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:02:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:04:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:02:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:04:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-c1-n","k8s.node.uid":"order-c1-n-uid","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-c1-p-uid","k8s.pod.name":"order-c1-p","k8s.namespace.name":"ns-x","k8s.node.name":"order-c1-n","k8s.cluster.name":"order-c1"},"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-c1-p-uid","k8s.pod.name":"order-c1-p","k8s.namespace.name":"ns-x","k8s.node.name":"order-c1-n","k8s.cluster.name":"order-c1"},"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-c1-p-uid","k8s.pod.name":"order-c1-p","k8s.namespace.name":"ns-x","k8s.node.name":"order-c1-n","k8s.cluster.name":"order-c1"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-c2-n","k8s.node.uid":"order-c2-n-uid","k8s.cluster.name":"order-c2"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-c2-n","k8s.node.uid":"order-c2-n-uid","k8s.cluster.name":"order-c2"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
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||||
@@ -1,126 +0,0 @@
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||||
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||||
@@ -1,36 +0,0 @@
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||||
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{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-3-uid","k8s.pod.name":"pp-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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.phase","labels":{"k8s.pod.uid":"pp-run-3-uid","k8s.pod.name":"pp-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-3-uid","k8s.pod.name":"pp-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-4-uid","k8s.pod.name":"pp-run-4","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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-4-uid","k8s.pod.name":"pp-run-4","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-4-uid","k8s.pod.name":"pp-run-4","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pend-1-uid","k8s.pod.name":"pp-pend-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pend-1-uid","k8s.pod.name":"pp-pend-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pend-1-uid","k8s.pod.name":"pp-pend-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"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.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"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-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,90 +0,0 @@
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-c1-n1-p-uid","k8s.pod.name":"acc-c1-n1-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c1-n1","k8s.cluster.name":"acc-cluster-1"},"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-c1-n1-p-uid","k8s.pod.name":"acc-c1-n1-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c1-n1","k8s.cluster.name":"acc-cluster-1"},"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-c1-n1-p-uid","k8s.pod.name":"acc-c1-n1-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c1-n1","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n2","k8s.node.uid":"acc-c1-n2-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"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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|
||||
{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-c2-n3-p-uid","k8s.pod.name":"acc-c2-n3-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c2-n3","k8s.cluster.name":"acc-cluster-2"},"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-c2-n3-p-uid","k8s.pod.name":"acc-c2-n3-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c2-n3","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,40 +0,0 @@
|
||||
{
|
||||
"records": [
|
||||
{
|
||||
"clusterName": "acc-cluster-1",
|
||||
"clusterCPU": 1.0,
|
||||
"clusterCPUAllocatable": 8.0,
|
||||
"clusterMemory": 2000000000.0,
|
||||
"clusterMemoryAllocatable": 16000000000.0,
|
||||
"nodeCountsByReadiness": {
|
||||
"ready": 2,
|
||||
"notReady": 0
|
||||
},
|
||||
"podCountsByPhase": {
|
||||
"pending": 0,
|
||||
"running": 2,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0
|
||||
}
|
||||
},
|
||||
{
|
||||
"clusterName": "acc-cluster-2",
|
||||
"clusterCPU": 3.0,
|
||||
"clusterCPUAllocatable": 24.0,
|
||||
"clusterMemory": 6000000000.0,
|
||||
"clusterMemoryAllocatable": 48000000000.0,
|
||||
"nodeCountsByReadiness": {
|
||||
"ready": 3,
|
||||
"notReady": 0
|
||||
},
|
||||
"podCountsByPhase": {
|
||||
"pending": 0,
|
||||
"running": 3,
|
||||
"succeeded": 0,
|
||||
"failed": 0,
|
||||
"unknown": 0
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,120 +0,0 @@
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-prod", "k8s.pod.uid": "pod-data-ns-a-prod-uid", "k8s.pod.name": "pod-data-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-a-dev", "k8s.pod.uid": "pod-data-ns-a-dev-uid", "k8s.pod.name": "pod-data-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-prod", "k8s.pod.uid": "pod-logs-ns-a-prod-uid", "k8s.pod.name": "pod-logs-ns-a-prod", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-a-dev", "k8s.pod.uid": "pod-logs-ns-a-dev-uid", "k8s.pod.name": "pod-logs-ns-a-dev", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-prod", "k8s.pod.uid": "pod-data-ns-b-prod-uid", "k8s.pod.name": "pod-data-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "data-ns-b-dev", "k8s.pod.uid": "pod-data-ns-b-dev-uid", "k8s.pod.name": "pod-data-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-prod", "k8s.pod.uid": "pod-logs-ns-b-prod-uid", "k8s.pod.name": "pod-logs-ns-b-prod", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "prod"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.available", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 30000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.capacity", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 100000000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1000000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.free", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 800000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
{"metric_name": "k8s.volume.inodes.used", "labels": {"k8s.persistentvolumeclaim.name": "logs-ns-b-dev", "k8s.pod.uid": "pod-logs-ns-b-dev-uid", "k8s.pod.name": "pod-logs-ns-b-dev", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "ss-x", "env": "dev"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 200000.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
|
||||
@@ -1,60 +0,0 @@
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,3 +0,0 @@
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"miss-pvc","k8s.pod.uid":"pod-x-uid","k8s.pod.name":"pod-x","k8s.namespace.name":"ns-x","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"miss-pvc","k8s.pod.uid":"pod-x-uid","k8s.pod.name":"pod-x","k8s.namespace.name":"ns-x","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"miss-pvc","k8s.pod.uid":"pod-x-uid","k8s.pod.name":"pod-x","k8s.namespace.name":"ns-x","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
@@ -1,30 +0,0 @@
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
|
||||
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Reference in New Issue
Block a user