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Connect to live Sage 50 UK data in AWS Lambda using the CData JDBC Driver.
AWS Lambda is a compute service that lets you build applications that respond quickly to new information and events. AWS Lambda functions can work with live Sage 50 UK data when paired with the CData JDBC Driver for Sage 50 UK. This article describes how to connect to and query Sage 50 UK data from an AWS Lambda function built in Eclipse.
At the time this article was written (June 2022), Eclipse version 2019-12 and Java 8 were the highest versions supported by the AWS Toolkit for Eclipse.
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). In addition, its built-in dynamic metadata querying allows you to work with and analyze Sage 50 UK data using native data types.
Gather Connection Properties and Build a Connection String
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.
NOTE: To use the JDBC driver in an AWS Lambda function, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the Sage 50 UK JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.sage50uk.jar
![Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)](../articles/jdbc-url-builder-0.png)
Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.
Create an AWS Lambda Function
- Download the CData JDBC Driver for Sage 50 UK installer, unzip the package, and run the JAR file to install the driver.
Create a new AWS Lambda Java Project in Eclipse using the AWS Toolkit for Eclipse. You can follow the tutorial from AWS (amazon.com).
For this article, set the Input Type for the project to "Custom" so we can enter a table name as the input.
- Add the CData JDBC Driver for Sage 50 UK JAR file (cdata.jdbc.sage50uk.jar) to the build path. The file is found in INSTALL_PATH\lib\.
- Add the following import statements to the Java class:
import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.ResultSetMetaData; import java.sql.SQLException; import java.sql.Statement;
Replace the body of the handleRequest method with the code below. Be sure to fill in the connection string in the DriverManager.getConnection method call.
String query = "SELECT * FROM " + input; try { Class.forName("cdata.jdbc.sage50uk.Sage50UKDriver"); } catch (ClassNotFoundException ex) { context.getLogger().log("Error: class not found"); } Connection connection = null; try { connection = DriverManager.getConnection("jdbc:cdata:sage50uk:RTK=52465...;URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager;"); } catch (SQLException ex) { context.getLogger().log("Error getting connection: " + ex.getMessage()); } catch (Exception ex) { context.getLogger().log("Error: " + ex.getMessage()); } if(connection != null) { context.getLogger().log("Connected Successfully!\n"); } ResultSet resultSet = null; try { //executing query Statement stmt = connection.createStatement(); resultSet = stmt.executeQuery(query); ResultSetMetaData metaData = resultSet.getMetaData(); int numCols = metaData.getColumnCount(); //printing the results while(resultSet.next()) { for(int i = 1; i <= numCols; i++) { System.out.printf("%-25s", (resultSet.getObject(i) != null) ? resultSet.getObject(i).toString().replaceAll("\n", "") : null ); } System.out.print("\n"); } } catch (SQLException ex) { System.out.println("SQL Exception: " + ex.getMessage()); } catch (Exception ex) { System.out.println("General exception: " + ex.getMessage()); } String output = "query: " + query + " complete"; return output;
Deploy and Run the Lambda Function
Once you build the function in Eclipse, you are ready to upload and run the function. In this article, the output is written to the AWS logs, but you can use this is a template to implement you own custom business logic to work with Sage 50 UK data in AWS Lambda functions.
- Right-click the Package and select Amazon Web Services -> Upload function to AWS Lamba.
- Name the function, select an IAM role, and set the timeout value to a high enough value to ensure the function completes (depending on the result size of your query).
- Right-click the Package and select Amazon Web Services -> Run function on AWS Lambda and set the input to the name of the Sage 50 UK object you wish to query (i.e. "TradingAccounts").
- After the job runs, you can view the output in the CloudWatch logs.
Free Trial & More Information
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 AWS Lambda. Reach out to our Support Team if you have any questions.