Azure: AzureMonitorMetrics - change response to be dataplane compliant (#69308)

* Azure: AzureMonitorMetrics - change response to be dataplane compliant
can be disabled via toggle azureMonitorDataplane
Co-authored-by: Andreas Christou <andreas.christou@grafana.com>
This commit is contained in:
Kyle Brandt 2023-07-24 09:50:49 -04:00 committed by GitHub
parent c280f884f0
commit ee60d8c82d
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
26 changed files with 515 additions and 30 deletions

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@ -41,6 +41,7 @@ Some features are enabled by default. You can disable these feature by setting t
| `alertingNotificationsPoliciesMatchingInstances` | Enables the preview of matching instances for notification policies | Yes |
| `useCachingService` | When turned on, the new query and resource caching implementation using a wire service inject will be used in place of the previous middleware implementation | |
| `advancedDataSourcePicker` | Enable a new data source picker with contextual information, recently used order and advanced mode | Yes |
| `azureMonitorDataplane` | Adds dataplane compliant frame metadata in the Azure Monitor datasource | Yes |
## Preview feature toggles

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@ -116,4 +116,5 @@ export interface FeatureToggles {
featureToggleAdminPage?: boolean;
awsAsyncQueryCaching?: boolean;
splitScopes?: boolean;
azureMonitorDataplane?: boolean;
}

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@ -93,7 +93,7 @@ func TestIntegrationPluginManager(t *testing.T) {
features := featuremgmt.WithFeatures()
hcp := httpclient.NewProvider()
am := azuremonitor.ProvideService(cfg, hcp, tracer)
am := azuremonitor.ProvideService(cfg, hcp, features, tracer)
cw := cloudwatch.ProvideService(cfg, hcp, features)
cm := cloudmonitoring.ProvideService(hcp, tracer)
es := elasticsearch.ProvideService(hcp)

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@ -22,7 +22,7 @@ const (
hostedGrafanaTeam codeowner = "@grafana/hosted-grafana-team"
awsDatasourcesSquad codeowner = "@grafana/aws-datasources"
appO11ySquad codeowner = "@grafana/app-o11y"
grafanaPartnerPluginsSquad codeowner = "@grafana/partner-plugins"
grafanaPartnerPluginsSquad codeowner = "@grafana/partner-datasources"
grafanaOperatorExperienceSquad codeowner = "@grafana/grafana-operator-experience-squad"
enterpriseDatasourcesSquad codeowner = "@grafana/enterprise-datasources"
)

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@ -669,5 +669,12 @@ var (
Owner: grafanaAuthnzSquad,
RequiresRestart: true,
},
{
Name: "azureMonitorDataplane",
Description: "Adds dataplane compliant frame metadata in the Azure Monitor datasource",
Stage: FeatureStageGeneralAvailability,
Owner: grafanaPartnerPluginsSquad,
Expression: "true", // on by default
},
}
)

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@ -97,3 +97,4 @@ grafanaAPIServer,experimental,@grafana/grafana-app-platform-squad,false,false,fa
featureToggleAdminPage,experimental,@grafana/grafana-operator-experience-squad,false,false,true,false
awsAsyncQueryCaching,experimental,@grafana/aws-datasources,false,false,false,false
splitScopes,preview,@grafana/grafana-authnz-team,false,false,true,false
azureMonitorDataplane,GA,@grafana/partner-datasources,false,false,false,false

1 Name Stage Owner requiresDevMode RequiresLicense RequiresRestart FrontendOnly
97 featureToggleAdminPage experimental @grafana/grafana-operator-experience-squad false false true false
98 awsAsyncQueryCaching experimental @grafana/aws-datasources false false false false
99 splitScopes preview @grafana/grafana-authnz-team false false true false
100 azureMonitorDataplane GA @grafana/partner-datasources false false false false

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@ -398,4 +398,8 @@ const (
// FlagSplitScopes
// Support faster dashboard and folder search by splitting permission scopes into parts
FlagSplitScopes = "splitScopes"
// FlagAzureMonitorDataplane
// Adds dataplane compliant frame metadata in the Azure Monitor datasource
FlagAzureMonitorDataplane = "azureMonitorDataplane"
)

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@ -19,6 +19,7 @@ import (
"github.com/grafana/grafana/pkg/infra/log"
"github.com/grafana/grafana/pkg/infra/tracing"
"github.com/grafana/grafana/pkg/services/featuremgmt"
"github.com/grafana/grafana/pkg/setting"
"github.com/grafana/grafana/pkg/tsdb/azuremonitor/loganalytics"
"github.com/grafana/grafana/pkg/tsdb/azuremonitor/metrics"
@ -28,10 +29,10 @@ import (
var logger = log.New("tsdb.azuremonitor")
func ProvideService(cfg *setting.Cfg, httpClientProvider *httpclient.Provider, tracer tracing.Tracer) *Service {
func ProvideService(cfg *setting.Cfg, httpClientProvider *httpclient.Provider, features featuremgmt.FeatureToggles, tracer tracing.Tracer) *Service {
proxy := &httpServiceProxy{}
executors := map[string]azDatasourceExecutor{
azureMonitor: &metrics.AzureMonitorDatasource{Proxy: proxy},
azureMonitor: &metrics.AzureMonitorDatasource{Proxy: proxy, Features: features},
azureLogAnalytics: &loganalytics.AzureLogAnalyticsDatasource{Proxy: proxy},
azureResourceGraph: &resourcegraph.AzureResourceGraphDatasource{Proxy: proxy},
azureTraces: &loganalytics.AzureLogAnalyticsDatasource{Proxy: proxy},

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@ -19,6 +19,7 @@ import (
"github.com/grafana/grafana/pkg/infra/log"
"github.com/grafana/grafana/pkg/infra/tracing"
"github.com/grafana/grafana/pkg/services/featuremgmt"
"github.com/grafana/grafana/pkg/setting"
"github.com/grafana/grafana/pkg/tsdb/azuremonitor/kinds/dataquery"
"github.com/grafana/grafana/pkg/tsdb/azuremonitor/loganalytics"
@ -29,6 +30,7 @@ import (
// AzureMonitorDatasource calls the Azure Monitor API - one of the four API's supported
type AzureMonitorDatasource struct {
Proxy types.ServiceProxy
Features featuremgmt.FeatureToggles
}
var (
@ -396,6 +398,9 @@ func (e *AzureMonitorDatasource) parseResponse(amr types.AzureMonitorResponse, q
}
frame := data.NewFrameOfFieldTypes("", len(series.Data), data.FieldTypeTime, data.FieldTypeNullableFloat64)
if e.Features.IsEnabled(featuremgmt.FlagAzureMonitorDataplane) {
frame.Meta = &data.FrameMeta{Type: data.FrameTypeTimeSeriesMulti, TypeVersion: data.FrameTypeVersion{0, 1}}
}
frame.RefID = query.RefID
timeField := frame.Fields[0]
timeField.Name = data.TimeSeriesTimeFieldName

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@ -366,11 +366,20 @@ func TestCustomNamespace(t *testing.T) {
})
}
type fakeFeatureToggles struct {
flags map[string]bool
}
func (f *fakeFeatureToggles) IsEnabled(feature string) bool {
return f.flags[feature]
}
func TestAzureMonitorParseResponse(t *testing.T) {
resources := map[string]dataquery.AzureMonitorResource{}
resources["/subscriptions/12345678-aaaa-bbbb-cccc-123456789abc/resourceGroups/grafanastaging/providers/Microsoft.Compute/virtualMachines/grafana"] =
dataquery.AzureMonitorResource{ResourceGroup: strPtr("grafanastaging"), ResourceName: strPtr("grafana")}
subscription := "12345678-aaaa-bbbb-cccc-123456789abc"
datasource := &AzureMonitorDatasource{Features: &fakeFeatureToggles{flags: map[string]bool{"azureMonitorDataplane": true}}}
tests := []struct {
name string
@ -378,6 +387,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
mockQuery *types.AzureMonitorQuery
expectedFrames data.Frames
queryIntervalMS int64
datasource *AzureMonitorDatasource
}{
{
name: "average aggregate time series response",
@ -390,6 +400,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "total aggregate time series response",
@ -402,6 +413,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "maximum aggregate time series response",
@ -414,6 +426,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "minimum aggregate time series response",
@ -426,6 +439,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "count aggregate time series response",
@ -438,6 +452,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "single dimension time series response",
@ -450,6 +465,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "with alias patterns in the query",
@ -463,6 +479,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "single dimension with alias",
@ -476,6 +493,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "multiple dimension time series response with label alias",
@ -489,6 +507,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: map[string]dataquery.AzureMonitorResource{"/subscriptions/12345678-aaaa-bbbb-cccc-123456789abc/resourceGroups/grafanatest/providers/Microsoft.Storage/storageAccounts/testblobaccount/blobServices/default/providers/Microsoft.Insights/metrics": {ResourceGroup: strPtr("grafanatest"), ResourceName: strPtr("testblobaccount")}},
Subscription: subscription,
},
datasource: datasource,
},
{
name: "unspecified unit with alias should not panic",
@ -502,6 +521,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "with legacy azure monitor query properties and without a resource uri",
@ -515,6 +535,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "with legacy azure monitor query properties and with a resource uri it should use the resource uri",
@ -528,6 +549,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "multiple time series response",
@ -540,6 +562,7 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "multiple time series response with multiple dimensions",
@ -552,14 +575,27 @@ func TestAzureMonitorParseResponse(t *testing.T) {
Resources: resources,
Subscription: subscription,
},
datasource: datasource,
},
{
name: "non-dataplane compliant response",
responseFile: "azuremonitor/11-azure-monitor-non-dataplane-response.json",
mockQuery: &types.AzureMonitorQuery{
URL: "/subscriptions/12345678-aaaa-bbbb-cccc-123456789abc/resourceGroups/grafanastaging/providers/Microsoft.Compute/virtualMachines/grafana/providers/microsoft.insights/metrics",
Params: url.Values{
"aggregation": {"Average"},
},
Resources: resources,
Subscription: subscription,
},
datasource: &AzureMonitorDatasource{Features: &fakeFeatureToggles{flags: map[string]bool{"azureMonitorDataplane": false}}},
},
}
datasource := &AzureMonitorDatasource{}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
azData := loadTestFile(t, tt.responseFile)
dframes, err := datasource.parseResponse(azData, tt.mockQuery, "http://ds", "")
dframes, err := tt.datasource.parseResponse(azData, tt.mockQuery, "http://ds", "")
require.NoError(t, err)
require.NotNil(t, dframes)

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+------------------------------------------------------+
@ -17,7 +23,13 @@
//
//
//
// Frame[1]
// Frame[1] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+------------------------------------------------------+
@ -34,7 +46,13 @@
//
//
//
// Frame[2]
// Frame[2] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+--------------------------------------------------------+
@ -51,7 +69,13 @@
//
//
//
// Frame[3]
// Frame[3] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+--------------------------------------------------------+
@ -73,6 +97,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -135,6 +166,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -197,6 +235,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -259,6 +304,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -0,0 +1,47 @@
{
"cost": 0,
"timespan": "2019-02-08T10:13:50Z\/2019-02-08T16:13:50Z",
"interval": "PT1M",
"value": [
{
"id": "\/subscriptions\/xxx\/resourceGroups\/grafanastaging\/providers\/Microsoft.Compute\/virtualMachines\/grafana\/providers\/Microsoft.Insights\/metrics\/Percentage CPU",
"type": "Microsoft.Insights\/metrics",
"name": {
"value": "Percentage CPU",
"localizedValue": "Percentage CPU"
},
"unit": "Percent",
"timeseries": [
{
"metadatavalues": [
],
"data": [
{
"timeStamp": "2019-02-08T10:13:00Z",
"average": 2.0875
},
{
"timeStamp": "2019-02-08T10:14:00Z",
"average": 2.1525
},
{
"timeStamp": "2019-02-08T10:15:00Z",
"average": 2.155
},
{
"timeStamp": "2019-02-08T10:16:00Z",
"average": 3.6925
},
{
"timeStamp": "2019-02-08T10:17:00Z",
"average": 2.44
}
]
}
]
}
],
"namespace": "Microsoft.Compute\/virtualMachines",
"resourceregion": "westeurope"
}

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@ -0,0 +1,83 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
// | Name: Time | Name: Percentage CPU |
// | Labels: | Labels: |
// | Type: []time.Time | Type: []*float64 |
// +-------------------------------+----------------------+
// | 2019-02-08 10:13:00 +0000 UTC | 2.0875 |
// | 2019-02-08 10:14:00 +0000 UTC | 2.1525 |
// | 2019-02-08 10:15:00 +0000 UTC | 2.155 |
// | 2019-02-08 10:16:00 +0000 UTC | 3.6925 |
// | 2019-02-08 10:17:00 +0000 UTC | 2.44 |
// +-------------------------------+----------------------+
//
//
// 🌟 This was machine generated. Do not edit. 🌟
{
"status": 200,
"frames": [
{
"schema": {
"fields": [
{
"name": "Time",
"type": "time",
"typeInfo": {
"frame": "time.Time"
},
"config": {
"links": [
{
"title": "View in Azure Portal",
"targetBlank": true,
"url": "http://ds/#blade/Microsoft_Azure_MonitoringMetrics/Metrics.ReactView/Referer/MetricsExplorer/TimeContext/%7B%22absolute%22%3A%7B%22startTime%22%3A%220001-01-01T00%3A00%3A00Z%22%2C%22endTime%22%3A%220001-01-01T00%3A00%3A00Z%22%7D%7D/ChartDefinition/%7B%22v2charts%22%3A%5B%7B%22metrics%22%3A%5B%7B%22resourceMetadata%22%3A%7B%22id%22%3A%22%2Fsubscriptions%2F12345678-aaaa-bbbb-cccc-123456789abc%2FresourceGroups%2Fgrafanastaging%2Fproviders%2FMicrosoft.Compute%2FvirtualMachines%2Fgrafana%22%7D%2C%22name%22%3A%22%22%2C%22aggregationType%22%3A4%2C%22namespace%22%3A%22%22%2C%22metricVisualization%22%3A%7B%22displayName%22%3A%22%22%2C%22resourceDisplayName%22%3A%22grafana%22%7D%7D%5D%7D%5D%7D"
}
]
}
},
{
"name": "Percentage CPU",
"type": "number",
"typeInfo": {
"frame": "float64",
"nullable": true
},
"labels": {},
"config": {
"unit": "percent",
"links": [
{
"title": "View in Azure Portal",
"targetBlank": true,
"url": "http://ds/#blade/Microsoft_Azure_MonitoringMetrics/Metrics.ReactView/Referer/MetricsExplorer/TimeContext/%7B%22absolute%22%3A%7B%22startTime%22%3A%220001-01-01T00%3A00%3A00Z%22%2C%22endTime%22%3A%220001-01-01T00%3A00%3A00Z%22%7D%7D/ChartDefinition/%7B%22v2charts%22%3A%5B%7B%22metrics%22%3A%5B%7B%22resourceMetadata%22%3A%7B%22id%22%3A%22%2Fsubscriptions%2F12345678-aaaa-bbbb-cccc-123456789abc%2FresourceGroups%2Fgrafanastaging%2Fproviders%2FMicrosoft.Compute%2FvirtualMachines%2Fgrafana%22%7D%2C%22name%22%3A%22%22%2C%22aggregationType%22%3A4%2C%22namespace%22%3A%22%22%2C%22metricVisualization%22%3A%7B%22displayName%22%3A%22%22%2C%22resourceDisplayName%22%3A%22grafana%22%7D%7D%5D%7D%5D%7D"
}
]
}
}
]
},
"data": {
"values": [
[
1549620780000,
1549620840000,
1549620900000,
1549620960000,
1549621020000
],
[
2.0875,
2.1525,
2.155,
3.6925,
2.44
]
]
}
}
]
}

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+----------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

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@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 6 Rows
// +-------------------------------+---------------------------+
@ -18,7 +24,13 @@
//
//
//
// Frame[1]
// Frame[1] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 6 Rows
// +-------------------------------+----------------------------+
@ -36,7 +48,13 @@
//
//
//
// Frame[2]
// Frame[2] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 6 Rows
// +-------------------------------+------------------------------------------+
@ -59,6 +77,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -122,6 +147,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -185,6 +217,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

View File

@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 6 Rows
// +-------------------------------+---------------------------+
@ -18,7 +24,13 @@
//
//
//
// Frame[1]
// Frame[1] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 6 Rows
// +-------------------------------+----------------------------+
@ -36,7 +48,13 @@
//
//
//
// Frame[2]
// Frame[2] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 6 Rows
// +-------------------------------+------------------------------------------+
@ -59,6 +77,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -123,6 +148,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -187,6 +219,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

View File

@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+------------------------------------------+
@ -15,7 +21,13 @@
//
//
//
// Frame[1]
// Frame[1] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+--------------------------------------+
@ -30,7 +42,13 @@
//
//
//
// Frame[2]
// Frame[2] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 3 Rows
// +-------------------------------+-----------------------------------------------------+
@ -50,6 +68,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -109,6 +134,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",
@ -168,6 +200,13 @@
},
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

View File

@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 1 Rows
// +-------------------------------+----------------------+
@ -18,6 +24,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",

View File

@ -1,6 +1,12 @@
// 🌟 This was machine generated. Do not edit. 🌟
//
// Frame[0]
// Frame[0] {
// "type": "timeseries-multi",
// "typeVersion": [
// 0,
// 1
// ]
// }
// Name:
// Dimensions: 2 Fields by 5 Rows
// +-------------------------------+------------------------------+
@ -22,6 +28,13 @@
"frames": [
{
"schema": {
"meta": {
"type": "timeseries-multi",
"typeVersion": [
0,
1
]
},
"fields": [
{
"name": "Time",