Connect to Sage 50 UK Data in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for Sage 50 UK, HULFT Integrate can work with live Sage 50 UK data. This article walks through connecting to Sage 50 UK and moving the data into a CSV file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Sage 50 UK data. When you issue complex SQL queries to Sage 50 UK, the driver pushes supported SQL operations, like filters and aggregations, directly to Sage 50 UK and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Sage 50 UK data using native data types.

Enable Access to Sage 50 UK

To enable access to Sage 50 UK data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.sage50uk.jar (and cdata.jdbc.sage50uk.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to Sage 50 UK Data

Once you copy the JAR files, you can create a project with access to Sage 50 UK data. Start by opening Integrate Studio and creating a new project.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next
4. Name the script (e.g.: Sage50UKtoCSV)

Once you create the project, add components to the script to copy Sage 50 UK data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for Sage 50 UK. Set the following properties:
   • Name: Sage 50 UK Connection Settings
   • Driver class name: cdata.jdbc.sage50uk.Sage50UKDriver
   • URL: jdbc:sage50uk:URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager;
     
     

     Built-in Connection String Designer

     For assistance constructing the JDBC URL, use the connection string designer built into the Sage 50 UK JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

     java -jar cdata.jdbc.sage50uk.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     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:

     1. If you have not already done so, open the Sage 50 UK software.
     2. Click Tools -> Internet Options.
     3. Select the SData Settings tab.
     4. 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.
     5. Set the URL property to the value in the address field next to the company desired.
2. Write your SQL statement. For example:

   SELECT Name, FinanceBalance FROM TradingAccounts

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. TradingAccounts.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map Sage 50 UK Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Sage 50 UK data into a CSV file.

Download a free, 30-day trial of the CData JDBC Driver for Sage 50 UK and start working with your live Sage 50 UK data in HULFT Integrate. Reach out to our Support Team if you have any questions.