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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 Act CRM data when paired with the CData JDBC Driver for Act CRM. This article describes how to connect to and query Act CRM 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 Act CRM data. When you issue complex SQL queries to Act CRM, the driver pushes supported SQL operations, like filters and aggregations, directly to Act CRM 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 Act CRM data using native data types.
The and properties, under the Authentication section, must be set to valid Act! user credentials. In addition to the authentication values, see the following:
Connecting to Act! Premium
In addition to the authentication values, the to Act! is also required; for example https://eup1-iis-04.eu.hosted.act.com/.
Additionally, you must specify the you will connect to. This is found by going to the About Act! Premium menu of your account, at the top right of the page, in the ? menu. Use the Database Name in the window that appears.
Connecting to Act! Premium Cloud
To connect to your Act! Premium Cloud account, you also need to specify the property. This property is found in the URL address of the Cloud account; for example https://eup1-iis-04.eu.hosted.act.com/ActCloudName/.
Note that retrieving ActCRM metadata can be expensive. It is advised that you set the property to store the metadata locally.
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 Act CRM JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.actcrm.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.actcrm.ActCRMDriver");
} catch (ClassNotFoundException ex) {
context.getLogger().log("Error: class not found");
}
Connection connection = null;
try {
connection = DriverManager.getConnection("jdbc:cdata:actcrm:RTK=52465...;URL=https://myActCRMserver.com;User=myUser;Password=myPassword;ActDatabase=MyDB;");
} 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 Act CRM data in AWS Lambda functions.
Download a free, 30-day trial of the CData JDBC Driver for Act CRM and start working with your live Act CRM data in AWS Lambda. Reach out to our Support Team if you have any questions.
Download a free trial of the Act CRM Driver to get started:
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