Desktop json editor how to#
Desktop json editor driver#

Select the database: use the database configured above (e.g.

Enter information to log onto the server: select 'Use a specific username and password' and use CData Connect credentials.

Select or enter a server name: set to the address and port of the SQL (TDS) endpoint of CData Connect, separated by a comma (e.g.

Desktop json editor driver#

On the Provider tab: select Microsoft OLE DB Driver for SQL Server.Add an Open SQL Connection ActionĪdd an 'Open SQL connection' action (Actions -> Database) and click the option to build the Connection string. In the flow editor, you can add the actions to connect to JSON, query JSON using SQL, and write the query results to a CSV document. Open Microsoft Power Automate, add a new flow, and name the flow. Integrate JSON Services into Power Automate WorkflowsĪfter configuring CData Connect with JSON, you are ready to integrate JSON services into your Power Automate workflows. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.The data includes entries for people, the cars they own, and various maintenance services performed on those cars. You will also find the sample data used in the following examples. See the Modeling JSON Data chapter for more information on configuring the relational representation. The tables contain a primary key and a foreign key that links to the parent document. Relational: Return individual, related tables from hierarchical data.FlattenedDocuments: Implicitly join nested documents and their parents into a single table.The data provider returns nested elements as aggregates of data. Document (default): Model a top-level, document view of your JSON data.The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations. See the Getting Started chapter in the data provider documentation for authentication guides.Īfter setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data. The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. 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). Select 'JSON' from Available Data Sources.Įnter the necessary authentication properties to connect to JSON.Log into Connect Server and click Databases.Connect looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to JSON, leveraging server-side processing to quickly return JSON services.Ĭreate a Virtual SQL Database for JSON ServicesĬData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

Desktop json editor how to#

This article shows how to integrate JSON services into a simple workflow, moving JSON services into a CSV file.ĬData Connect provides a pure SQL interface for JSON, allowing you to easily integrate with live JSON services in Power Automate - without replicating the data.

CData Connect enables you to access live JSON services in workflow automation tools like Power Automate.