![]() |
VOOZH | about |
The CData JDBC Driver for JSON enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with JSON as sources and destinations. In this article, you will use the JDBC Driver for JSON to set up a simple transfer into a flat file. The CData JDBC Driver for JSON enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with JSON as sources and destinations. In this article, you will use the JDBC Driver for JSON to set up a simple transfer into a flat file.
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 and providing any authentication values, set to more closely match the data representation to the structure of your data.
The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
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.
For assistance in constructing the JDBC URL, use the connection string designer built into the JSON JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.json.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)A typical JDBC URL is below:
jdbc:json:URI=C:/people.json;DataModel=Relational;
SELECT [people].[personal.age] AS age, [people].[personal.gender] AS gender, [people].[personal.name.first] AS first_name, [people].[personal.name.last] AS last_name, [vehicles].[model], FROM [people] JOIN [vehicles] ON [people].[_id] = [vehicles].[people_id]
Download a free trial of the JSON Driver to get started:
Download NowLearn more:
👁 JSON IconRapidly create and deploy powerful Java applications that integrate with JSON web services.