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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 Dynamics 365 Business Central data when paired with the CData JDBC Driver for Dynamics 365 Business Central. This article describes how to connect to and query Dynamics 365 Business Central 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 Dynamics 365 Business Central data. When you issue complex SQL queries to Dynamics 365 Business Central, the driver pushes supported SQL operations, like filters and aggregations, directly to Dynamics 365 Business Central 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 Dynamics 365 Business Central data using native data types.
To authenticate to Dynamics 365 Business Central, you must select an AuthScheme and provide the required properties (OAuth by default).
Specify the . If you have multiple companies in your organization, you must also specify the to indicate which company you would like to connect to. does not need to be specified if you have only one company.
To authenticate with an Access Key, set AuthScheme to "AccessKey" and provide the and properties.
To obtain the and values, navigate to the Users page in Dynamics 365 Business Central and then click on Edit. The User Name and Web Service Access Key values are what you will enter as the and connection string properties. Note that the User Name is not your email address. It is a shortened user name.
If you wish to authenticate through other methods, refer to the Help documentation.
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.
For assistance constructing the JDBC URL, use the connection string designer built into the Dynamics 365 Business Central JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.d365businesscentral.jarπ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.
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.
π Creating a new AWS Lambda Java projectimport 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.d365businesscentral.D365BusinessCentralDriver");
} catch (ClassNotFoundException ex) {
context.getLogger().log("Error: class not found");
}
Connection connection = null;
try {
connection = DriverManager.getConnection("jdbc:cdata:d365businesscentral:RTK=52465...;OrganizationUrl=https://myaccount.financials.dynamics.com/;InitiateOAuth=GETANDREFRESH;");
} 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;
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 Dynamics 365 Business Central data in AWS Lambda functions.
Download a free, 30-day trial of the CData JDBC Driver for Dynamics 365 Business Central and start working with your live Dynamics 365 Business Central data in AWS Lambda. Reach out to our Support Team if you have any questions.
Download a free trial of the Dynamics 365 Business Central Driver to get started:
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π Dynamics 365 Business Central (NAV) IconRapidly create and deploy powerful Java applications that integrate with Dynamics 365 Business Central account data including Items, Sales Orders, Purchase Orders, and more!