Query JSON Services in MySQL Workbench

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to JSON services as if it were a MySQL database. This article shows how to create a virtual database for JSON in Connect and work with live JSON services in MySQL Workbench.

Create a Virtual MySQL Database for JSON Services

CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect and click Connections.
2. Select "JSON" from Available Data Sources.
3. 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.

4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to JSON from MySQL Workbench.

Query JSON from MySQL Workbench

The steps below outline connecting to the virtual JSON database in Connect from MySQL Workbench and issuing basic queries to work with live JSON services.

Connect to JSON through Connect

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData Connect).
3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
4. Click Store in Vault to set and store the password.
5. Click Test Connection to ensure the connection is configured properly and click OK.

Query JSON Services

1. Open the connection you just created (CData Connect).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve JSON services, like SELECT * FROM jsondb.people;

With access to live JSON services from MySQL Workbench, you can easily query and update JSON, just like you would a MySQL database. Request a demo of the CData Connect and start working with JSON just like a MySQL database today.