Create JSON-Connected Business Apps in AppSheet

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to JSON Services via CData Connect AI in Google AppSheet and create custom business applications with real-time access to JSON services.

Google AppSheet is a no-code development platform for application software, enabling users to design mobile, tablet, and web applications. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to JSON services for business applications. This article outlines the process of connecting to JSON using Connect AI and constructing a basic app from JSON services within AppSheet.

CData Connect AI offers a dedicated cloud-to-cloud interface for JSON, enabling the creation of reports directly from live JSON services within AppSheet, all without the need for data replication to a native database. When you design applications that interact with data, AppSheet formulates SQL queries to retrieve the required information. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to JSON. This leverages server-side processing to swiftly deliver the requested JSON services.

Configure JSON Connectivity for AppSheet

Connectivity to JSON from AppSheet is made possible through CData Connect AI. To work with JSON services from AppSheet, we start by creating and configuring a JSON connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "JSON" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to JSON.

    See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

    After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

    The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

    • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
    • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
    • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

    See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add JSON Connection page and update the User-based permissions. Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to JSON services from AppSheet.

Connect to JSON from AppSheet

The steps below outline connecting to CData Connect AI from AppSheet to create a new JSON data source.

  1. Log into AppSheet
  2. Click "My account" in the menu
  3. Click the Sources tab and add a new data source Creating a new data source
  4. Select Cloud Database and set the connection information
    • Type: Sql Server
    • Server: tds.cdata.com,14333
    • Database: the JSON connection, for example, JSON1
    • Username: a Connect AI user, for example, [email protected]
    • Password: the PAT for the above Connect AI user
    • SSL: Require SSL
    Connecting to Connect AI
  5. Click "Test Connection"
  6. Click "Authorize Access"

Create an App

Once you create the data source for JSON, you can start building apps on JSON services. Start by clicking "My apps" in the menu.

  1. Click to create a new app and select "Start with your own data"
  2. Name the app and select an appropriate category, based on your data
  3. Select the newly created data source
  4. Select the table or view with the data you want Selecting a table

At this point, you can configure the design of your app, selecting which columns from the selected table to display, use as labels, and more. Preview the app in the preview panel and then publish or share it when ready.

Configuring an app connected to Connect AI.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!

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