You can create configuration data externally with an XML editor. If you then package it as a. You create and manage software update configuration items through the software updates management feature in Configuration Manager. You can reference these configuration items by configuration baselines. However, don't directly author them by using configuration items or the DCM Digest.
You can also import configuration data that software vendors and solution providers have published. You can digitally sign published configuration data. Then you can verify the publishing source and be sure that no one has tampered with the data. If the digital signature verification check fails, Configuration Manager warns you to continue with the import.
To launch VS Code and open the current folder, run the command code. If the current folder is part of a local git repo, the GitHub integration appears in Visual Studio Code automatically. Select the square Extensions icon on the left nav. The Extensions: Marketplace pane appears. In the Search Extensions in the Marketplace search box, type the name of an extension you want to find. These features ease and streamline the contributions process.
As such, we consider the Docs Authoring Pack a required extension for contributors. Markdown is a lightweight markup language used to author the content. Visual Studio Code is the preferred tool for editing Markdown at Microsoft. Atom is another popular tool for editing Markdown. Now you are ready to Set up a local Git repository. Skip to main content. This browser is no longer supported. Complex datatypes are one of array , enumeration , map , object , or one of the geospatial types.
An array is an indexable data type where all elements are the same type. The element type can be a primitive or complex type. The following snippet shows an example telemetry definition that uses the Array type in the schema field. The elements of the array are booleans:. An enumeration describes a type with a set of named labels that map to values.
The values can be either integers or strings, but the labels are always strings. The following snippet shows an example telemetry definition that uses the Enum type in the schema field. The values in the enumeration are integers:. A map is a type with key-value pairs where the values all have the same type. The key in a map must be a string.
The values in a map can be any type, including another complex type. The following snippet shows an example property definition that uses the Map type in the schema field. The values in the map are strings:.
An object type is made up of named fields. The types of the fields in an object map can be primitive or complex types. The following snippet shows an example telemetry definition that uses the Object type in the schema field.
The fields in the object are dateTime , duration , and string types:. These types are predefined nested structures of arrays, objects, and enumerations.
The following snippet shows an example telemetry definition that uses the point type in the schema field:. Because the geospatial types are array-based, they can't currently be used in property definitions. The datatype of a property or telemetry definition specifies the format of the data that a device exchanges with a service.
The semantic type provides information about telemetry and properties that an application can use to determine how to process or display a value. Each semantic type has one or more associated units. For example, celsius and fahrenheit are units for the temperature semantic type. IoT Central dashboards and analytics can use the semantic type information to determine how to plot telemetry or property values and display units.
To learn how you can use the model parser to read the semantic types, see Understand the digital twins model parser. The following snippet shows an example telemetry definition that includes semantic type information.
The semantic type Temperature is added to the type array, and the unit value, degreeCelsius is one of the valid units for the semantic type:. For example, tiles on a dashboard can display names and descriptions for telemetry, properties, and commands.
The optional description and displayName fields in the model hold strings intended for use in a UI. These fields can hold localized strings that an application can use to render a localized UI. The following snippet shows an example temperature telemetry definition that includes localized strings:. The four lifecycle stages for a device model are author , publish , use , and version :. In IoT Central you can:.
The extension provides syntax validation in DTDL model files, highlighting errors as shown on the following screenshot:. Create a new DTDL interface. The interface includes example telemetry, property, and command definitions.
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