The CData JDBC Driver for Sage 50 UK integrates Sage 50 UK data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Sage 50 UK data through the connection manager and execute queries.
Create a JDBC Data Source
You can use the connection manager to define connection properties and save them in a new JDBC data source. The Sage 50 UK data source can then be accessed from Aqua Data Studio tools.
- In Aqua Data Studio, select Register Server from the Servers menu.
- In the Register Server form, select the 'Generic - JDBC' connection.
- Enter the following JDBC connection properties:
- Name: Enter a name for the data source; for example, Sage 50 UK.
- Driver Location: Click the Browse button and select the cdata.jdbc.sage50uk.jar file, located in the lib subfolder of the installation directory.
- Driver: Enter the Driver's class name, cdata.jdbc.sage50uk.Sage50UKDriver.
- URL: Enter the JDBC URL, which starts with jdbc:sage50uk: and is followed by a semicolon-separated list of connection properties. You will find information on the required connection string options in the help documentation. A typical JDBC URL is below:
jdbc:sage50uk:URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager;
Note: Only Sage 50 UK 2012 and above are supported.
The User and Password properties, under the Connection section, must be set to valid Sage 50 UK user credentials. These values will be the same used
to log in to the Sage 50 UK software.
Additionally, the URL property, under the Connection section, will need to be set to the address of the company dataset desired. To obtain the address, do the following:
- If you have not already done so, open the Sage 50 UK software.
- Click Tools -> Internet Options.
- Select the SData Settings tab.
- Click the Details button next to Sage 50 Accounts. A window is displayed containing a list of company names along with the address to their corresponding datasets.
- Set the URL property to the value in the address field next to the company desired.
Query Sage 50 UK Data
You can now query the tables exposed.
