Xml Schema Editor Download
Carlie Bhairo
The text view of an XML Schema shows the schema in its native form. XML Schema Editors generally add to the text view with features including inline entry helpers and entry helper windows, code completion, line numbering, source folding, and syntax coloring. For more lengthy and complex schema documents, this is often difficult for even highly trained content model architects to work with, paving the way for software companies to come up with new and inventive way for users to visualize these documents.
JSON Schema Editor is an open source project, which is an intuitive editor for JSON schema. It provides a tree view to present the structure of schema, and a property inspector to edit the properties of schema element.
JSON Editor is successor of JSON Schema Editor, which is a schema-aware editor for JSON document including JSON schema. It provides a tree view to present the structure of JSON document, user could manipulate the JSON from context menu. There is a text view to present the content of JSON document, user may edit JSON within. They share user accounts and user schema repository, so user could use one account to login both editors and access schemas.
The Adobe Experience Platform user interface allows you to create and manage Experience Data Model (XDM) schemas in an interactive visual canvas called the Schema Editor. This tutorial covers how to create a schema using the Schema Editor.
For demonstration purposes, the steps in this tutorial involve creating an example schema that describes members of a customer loyalty program. While you can use these steps to create a different schema for your own purposes, it is recommended that you first follow along with creating the example schema to learn the capabilities of the Schema Editor.
This tutorial requires a working understanding of the various aspects of Adobe Experience Platform involved in schema creation. Before beginning this tutorial, please review the documentation for the following concepts:
The Schemas workspace in the Platform UI provides a visualization of the Schema Library, allowing you to view manage the schemas available for your organization. The workspace also includes the Schema Editor, the canvas on which you can compose a schema throughout this tutorial.
After logging into Experience Platform, select Schemas in the left navigation to open the Schemas workspace. The Browse tab displays a list of schemas (a representation of the Schema Library) for you to view and customize. The list includes the name, type, class, and behavior (record or time-series) on which the schema is based, as well as the date and time the schema was last modified.
The Create schema workflow appears. Next, choose a base class for the schema. You can choose between the core classes of XDM Individual Profile and XDM ExperienceEvent, or Other if these classes do not suit your purposes. The Other classes option allows you to either create a new class or choose from other pre-existing classes.
After you have selected a class, the Name and review section appears. In this section, you provide a name and description to identify your schema. There are several important considerations to make when deciding on a name for your schema:
Enter a human-friendly Schema display name in the text field. Next, enter a suitable description to help identify your schema. When you have reviewed your schema structure and are happy with your settings, select Finish to create your schema.
The Schema Editor appears. This is the canvas upon which you will compose your schema. The self-titled schema is automatically created in the Structure section of the canvas when you arrive in the editor, along with the standard fields included in the base class that you selected. The assigned class for the schema is also listed under Class in Composition section.
You can update the display name and optional description for the schema from the Schema properties sidebar. Once a new name is entered, the canvas automatically updates to reflect the new name of the schema.
You can change the class of a schema at any point during the initial composition process before the schema has been saved, but this should be done with extreme caution. Field groups are only compatible with certain classes, and therefore changing the class will reset the canvas and any fields you have added.
You can now begin to add fields to your schema by adding field groups. A field group is a group of one or more fields that are often used together to describe a particular concept. This tutorial uses field groups to describe the members of the loyalty program and capture key information such as name, birthday, phone number, address, and more.
For this tutorial, select the standard field groups Personal Contact Details and Loyalty Details from the list, then select Add field groups to add them to the schema.
The Loyalty Members schema is meant to capture data related to the members of a loyalty program, and the standard Loyalty Details field group that you added to the schema provides most of these, including the program type, points, join date, and more.
As with class names, the field group name should be short and simple, describing what the field group will contribute to the schema. These too are unique, so you will not be able to reuse the name and must therefore ensure it is specific enough.
The loyaltyTier object now contains several fields and represents a common data structure that could be useful in other schemas. The Schema Editor allows you to readily apply reusable multi-field objects by converting the structure of those objects into data types.
Your schema now contains several field groups in addition to the fields provided by its base class. When working with larger schemas, you can select the checkboxes next to field group names in the left rail to filter the displayed fields to only those provided by the field groups you are interested in.
The standard data structure that schemas provide can be leveraged to identify data belonging to the same individual across multiple sources, allowing for various downstream use cases such as segmentation, reporting, data science analysis, and more. In order to stitch data based on individual identities, key fields must be marked as Identity fields within applicable schemas.
The steps outlined below cover how to add an identity descriptor to an existing schema field. As an alternative to defining identity fields within the structure of the schema itself, you can also use an identityMap field to contain identity information instead.
If you plan on using identityMap, keep in mind that it will override any primary identity you add to the schema directly. See the section on identityMap in the basics of schema composition guide for more information.
Each schema may contain only one primary identity field. Once a schema field has been set as the primary identity, you will receive an error message if you later attempt to set another identity field in the schema as the primary.
In order for a schema to be enabled for use with Real-Time Customer Profile, it must have a primary identity defined. You will receive an error message if you attempt to enable a schema without first defining a primary identity.
On the right side of the editor, information is shown about the schema including its display name, description, and type. In addition to this information, there is a Profile toggle button.
Select Enable to confirm your choice. You can select the Profile toggle again to disable the schema if you wish, but once the schema has been saved while Profile is enabled, it can no longer be disabled.
Within the Schema Editor you can also conduct quick actions to copy the JSON structure of the schema or delete the schema if it has not been enabled for Real-Time Customer Profile or has associated datasets. Select More at the top of the view to display a drop down with quick actions.
The Copy JSON structure functionality allows you to see what a sample payload would look like while you are still building the schema and your data pipelines. It is especially helpful for situations where there are complex object map structures in the schema such as an identity map.
Now that you have finished composing the schema, you can see the complete schema in the canvas. Select Save and the schema will be saved to the Schema Library, making it accessible by the Schema Registry.
Your new schema can now be used to ingest data into Platform. Remember that once the schema has been used to ingest data, only additive changes may be made. See the basics of schema composition for more information on schema versioning.
Experience Platform provides the flexibility to define a schema based on a class that is unique to your organization. To learn how to create a new class, see the guide on creating and editing classes in the UI.
Reassigning the class for a schema should be done with extreme caution. Field groups are only compatible with certain classes, and therefore changing the class will reset the canvas and any fields you have added.
I am attempting to use the ODBC Schema Editor to connect to several Cosmos DB collections for reporting purposes (using Power BI). While I can successfully generate a schema for one collection, another is not working correctly.
Does anyone know how I can get the schema editor to recognize all of my data? I'm not sure what to share that would be helpful but I'm happy to provide more if there's something that would be informative.
Hi all. In 6.2 ootb there is no Checkbox field available in the Metadata Schema Editor. However upon closer inspection, file /libs/dam/gui/coral/components/admin/schemaforms/formbuilder/builditems.jsp has it commented out. If I overlay this file and uncomment, it becomes available, and seems to function, but upon further testing, is not functional, as values do not save out properly to JCR.
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