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Schemas: Allow nulls in schema for +/-Infinity types (#70958)
* Add null options and remove veneer attributes * Generate all code, remove old veneer defs * Remove now-unnecessary error expect
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@@ -197,7 +197,7 @@ lineage: schemas: [{
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name: string
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// Optional display name
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label?: string
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// Visibility configuration for the variable
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// Visibility configuration for the variable
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hide: #VariableHide
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// Whether the variable value should be managed by URL query params or not
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skipUrlSync: bool | *false
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@@ -231,8 +231,8 @@ lineage: schemas: [{
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// Options to config when to refresh a variable
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// `0`: Never refresh the variable
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// `1`: Queries the data source every time the dashboard loads.
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// `2`: Queries the data source when the dashboard time range changes.
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// `1`: Queries the data source every time the dashboard loads.
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// `2`: Queries the data source when the dashboard time range changes.
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#VariableRefresh: 0 | 1 | 2 @cuetsy(kind="enum",memberNames="never|onDashboardLoad|onTimeRangeChanged")
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// Determine if the variable shows on dashboard
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@@ -291,17 +291,17 @@ lineage: schemas: [{
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#DashboardLinkType: "link" | "dashboards" @cuetsy(kind="type")
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// Dashboard variable type
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// `query`: Query-generated list of values such as metric names, server names, sensor IDs, data centers, and so on.
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// `query`: Query-generated list of values such as metric names, server names, sensor IDs, data centers, and so on.
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// `adhoc`: Key/value filters that are automatically added to all metric queries for a data source (Prometheus, Loki, InfluxDB, and Elasticsearch only).
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// `constant`: Define a hidden constant.
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// `datasource`: Quickly change the data source for an entire dashboard.
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// `datasource`: Quickly change the data source for an entire dashboard.
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// `interval`: Interval variables represent time spans.
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// `textbox`: Display a free text input field with an optional default value.
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// `custom`: Define the variable options manually using a comma-separated list.
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// `system`: Variables defined by Grafana. See: https://grafana.com/docs/grafana/latest/dashboards/variables/add-template-variables/#global-variables
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#VariableType: "query" | "adhoc" | "constant" | "datasource" | "interval" | "textbox" | "custom" | "system" @cuetsy(kind="type") @grafanamaturity(NeedsExpertReview)
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// Color mode for a field. You can specify a single color, or select a continuous (gradient) color schemes, based on a value.
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// Color mode for a field. You can specify a single color, or select a continuous (gradient) color schemes, based on a value.
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// Continuous color interpolates a color using the percentage of a value relative to min and max.
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// Accepted values are:
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// `thresholds`: From thresholds. Informs Grafana to take the color from the matching threshold
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@@ -353,10 +353,10 @@ lineage: schemas: [{
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#Threshold: {
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// Value represents a specified metric for the threshold, which triggers a visual change in the dashboard when this value is met or exceeded.
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// Nulls currently appear here when serializing -Infinity to JSON.
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value: number @grafanamaturity(NeedsExpertReview)
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value: number | null @grafanamaturity(NeedsExpertReview)
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// Color represents the color of the visual change that will occur in the dashboard when the threshold value is met or exceeded.
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color: string @grafanamaturity(NeedsExpertReview)
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} @cuetsy(kind="interface") @grafana(TSVeneer="type") @grafanamaturity(NeedsExpertReview)
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} @cuetsy(kind="interface") @grafanamaturity(NeedsExpertReview)
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// Thresholds can either be `absolute` (specific number) or `percentage` (relative to min or max, it will be values between 0 and 1).
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#ThresholdsMode: "absolute" | "percentage" @cuetsy(kind="enum",memberNames="Absolute|Percentage")
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@@ -368,10 +368,10 @@ lineage: schemas: [{
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// Must be sorted by 'value', first value is always -Infinity
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steps: [...#Threshold] @grafanamaturity(NeedsExpertReview)
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} @cuetsy(kind="interface") @grafana(TSVeneer="type") @grafanamaturity(NeedsExpertReview)
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} @cuetsy(kind="interface") @grafanamaturity(NeedsExpertReview)
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// Allow to transform the visual representation of specific data values in a visualization, irrespective of their original units
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#ValueMapping: #ValueMap | #RangeMap | #RegexMap | #SpecialValueMap @cuetsy(kind="type") @grafanamaturity(NeedsExpertReview) @grafana(TSVeneer="type")
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#ValueMapping: #ValueMap | #RangeMap | #RegexMap | #SpecialValueMap @cuetsy(kind="type") @grafanamaturity(NeedsExpertReview)
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// Supported value mapping types
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// `value`: Maps text values to a color or different display text and color. For example, you can configure a value mapping so that all instances of the value 10 appear as Perfection! rather than the number.
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@@ -380,7 +380,7 @@ lineage: schemas: [{
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// `special`: Maps special values like Null, NaN (not a number), and boolean values like true and false to a display text and color. See SpecialValueMatch to see the list of special values. For example, you can configure a special value mapping so that null values appear as N/A.
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#MappingType: "value" | "range" | "regex" | "special" @cuetsy(kind="enum",memberNames="ValueToText|RangeToText|RegexToText|SpecialValue") @grafanamaturity(NeedsExpertReview)
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// Maps text values to a color or different display text and color.
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// Maps text values to a color or different display text and color.
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// For example, you can configure a value mapping so that all instances of the value 10 appear as Perfection! rather than the number.
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#ValueMap: {
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type: #MappingType & "value"
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@@ -388,22 +388,22 @@ lineage: schemas: [{
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options: [string]: #ValueMappingResult
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} @cuetsy(kind="interface")
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// Maps numerical ranges to a display text and color.
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// Maps numerical ranges to a display text and color.
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// For example, if a value is within a certain range, you can configure a range value mapping to display Low or High rather than the number.
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#RangeMap: {
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type: #MappingType & "range"
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// Range to match against and the result to apply when the value is within the range
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options: {
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// Min value of the range. It can be null which means -Infinity
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from: float64
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from: float64 | null
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// Max value of the range. It can be null which means +Infinity
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to: float64
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to: float64 | null
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// Config to apply when the value is within the range
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result: #ValueMappingResult
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}
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} @cuetsy(kind="interface") @grafana(TSVeneer="type") @grafanamaturity(NeedsExpertReview)
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} @cuetsy(kind="interface") @grafanamaturity(NeedsExpertReview)
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// Maps regular expressions to replacement text and a color.
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// Maps regular expressions to replacement text and a color.
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// For example, if a value is www.example.com, you can configure a regex value mapping so that Grafana displays www and truncates the domain.
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#RegexMap: {
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type: #MappingType & "regex"
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@@ -416,8 +416,8 @@ lineage: schemas: [{
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}
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} @cuetsy(kind="interface") @grafanamaturity(NeedsExpertReview)
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// Maps special values like Null, NaN (not a number), and boolean values like true and false to a display text and color.
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// See SpecialValueMatch to see the list of special values.
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// Maps special values like Null, NaN (not a number), and boolean values like true and false to a display text and color.
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// See SpecialValueMatch to see the list of special values.
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// For example, you can configure a special value mapping so that null values appear as N/A.
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#SpecialValueMap: {
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type: #MappingType & "special"
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@@ -444,8 +444,8 @@ lineage: schemas: [{
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index?: int32
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} @cuetsy(kind="interface")
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// Transformations allow to manipulate data returned by a query before the system applies a visualization.
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// Using transformations you can: rename fields, join time series data, perform mathematical operations across queries,
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// Transformations allow to manipulate data returned by a query before the system applies a visualization.
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// Using transformations you can: rename fields, join time series data, perform mathematical operations across queries,
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// use the output of one transformation as the input to another transformation, etc.
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#DataTransformerConfig: {
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// Unique identifier of transformer
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@@ -503,7 +503,7 @@ lineage: schemas: [{
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userId: uint32 @grafanamaturity(NeedsExpertReview)
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} @grafanamaturity(NeedsExpertReview)
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// Dashboard panels are the basic visualization building blocks.
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// Dashboard panels are the basic visualization building blocks.
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#Panel: {
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// The panel plugin type id. This is used to find the plugin to display the panel.
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type: string & strings.MinRunes(1)
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@@ -552,27 +552,27 @@ lineage: schemas: [{
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maxDataPoints?: number
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// List of transformations that are applied to the panel data before rendering.
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// When there are multiple transformations, Grafana applies them in the order they are listed.
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// When there are multiple transformations, Grafana applies them in the order they are listed.
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// Each transformation creates a result set that then passes on to the next transformation in the processing pipeline.
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transformations: [...#DataTransformerConfig]
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// The min time interval setting defines a lower limit for the $__interval and $__interval_ms variables.
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// This value must be formatted as a number followed by a valid time
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// This value must be formatted as a number followed by a valid time
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// identifier like: "40s", "3d", etc.
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// See: https://grafana.com/docs/grafana/latest/panels-visualizations/query-transform-data/#query-options
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interval?: string
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// Overrides the relative time range for individual panels,
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// which causes them to be different than what is selected in
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// the dashboard time picker in the top-right corner of the dashboard. You can use this to show metrics from different
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// Overrides the relative time range for individual panels,
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// which causes them to be different than what is selected in
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// the dashboard time picker in the top-right corner of the dashboard. You can use this to show metrics from different
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// time periods or days on the same dashboard.
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// The value is formatted as time operation like: `now-5m` (Last 5 minutes), `now/d` (the day so far),
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// The value is formatted as time operation like: `now-5m` (Last 5 minutes), `now/d` (the day so far),
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// `now-5d/d`(Last 5 days), `now/w` (This week so far), `now-2y/y` (Last 2 years).
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// Note: Panel time overrides have no effect when the dashboard’s time range is absolute.
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// See: https://grafana.com/docs/grafana/latest/panels-visualizations/query-transform-data/#query-options
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timeFrom?: string
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// Overrides the time range for individual panels by shifting its start and end relative to the time picker.
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// Overrides the time range for individual panels by shifting its start and end relative to the time picker.
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// For example, you can shift the time range for the panel to be two hours earlier than the dashboard time picker setting `2h`.
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// Note: Panel time overrides have no effect when the dashboard’s time range is absolute.
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// See: https://grafana.com/docs/grafana/latest/panels-visualizations/query-transform-data/#query-options
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@@ -588,7 +588,7 @@ lineage: schemas: [{
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fieldConfig: #FieldConfigSource
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} @cuetsy(kind="interface") @grafana(TSVeneer="type") @grafanamaturity(NeedsExpertReview)
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// The data model used in Grafana, namely the data frame, is a columnar-oriented table structure that unifies both time series and table query results.
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// The data model used in Grafana, namely the data frame, is a columnar-oriented table structure that unifies both time series and table query results.
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// Each column within this structure is called a field. A field can represent a single time series or table column.
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// Field options allow you to change how the data is displayed in your visualizations.
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#FieldConfigSource: {
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@@ -601,8 +601,8 @@ lineage: schemas: [{
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}] @grafanamaturity(NeedsExpertReview)
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} @cuetsy(kind="interface") @grafana(TSVeneer="type") @grafanamaturity(NeedsExpertReview)
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// A library panel is a reusable panel that you can use in any dashboard.
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// When you make a change to a library panel, that change propagates to all instances of where the panel is used.
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// A library panel is a reusable panel that you can use in any dashboard.
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// When you make a change to a library panel, that change propagates to all instances of where the panel is used.
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// Library panels streamline reuse of panels across multiple dashboards.
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#LibraryPanelRef: {
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// Library panel name
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@@ -625,7 +625,7 @@ lineage: schemas: [{
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value?: _ @grafanamaturity(NeedsExpertReview)
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}
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// The data model used in Grafana, namely the data frame, is a columnar-oriented table structure that unifies both time series and table query results.
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// The data model used in Grafana, namely the data frame, is a columnar-oriented table structure that unifies both time series and table query results.
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// Each column within this structure is called a field. A field can represent a single time series or table column.
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// Field options allow you to change how the data is displayed in your visualizations.
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#FieldConfig: {
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@@ -664,8 +664,8 @@ lineage: schemas: [{
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// `currency:<unit>` for custom a currency unit.
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unit?: string @grafanamaturity(NeedsExpertReview)
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// Specify the number of decimals Grafana includes in the rendered value.
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// If you leave this field blank, Grafana automatically truncates the number of decimals based on the value.
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// Specify the number of decimals Grafana includes in the rendered value.
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// If you leave this field blank, Grafana automatically truncates the number of decimals based on the value.
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// For example 1.1234 will display as 1.12 and 100.456 will display as 100.
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// To display all decimals, set the unit to `String`.
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decimals?: number @grafanamaturity(NeedsExpertReview)
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