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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 Drift data when paired with the CData API Driver for JDBC. This article describes how to connect to and query Drift 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 Drift data. When you issue complex SQL queries to Drift, the driver pushes supported SQL operations, like filters and aggregations, directly to Drift 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 Drift data using native data types.
Start by setting the Profile connection property to the location of the Drift Profile on disk (e.g. C:\profiles\Drift.apip). Next, set the ProfileSettings connection property to the connection string for Drift (see below).
Drift uses OAuth-based authentication.
You must first register an application here: https://dev.drift.com. Your app will be assigned a client ID and a client secret. Set these in your connection string via the OAuthClientId and OAuthClientSecret properties. More information on setting up an OAuth application can be found at https://devdocs.drift.com/docs/.
After setting the following options in the ProfileSettings connection property, you are ready to connect:
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 Drift JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.api.jar๐ 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.
๐ 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.api.APIDriver");
} catch (ClassNotFoundException ex) {
context.getLogger().log("Error: class not found");
}
Connection connection = null;
try {
connection = DriverManager.getConnection("jdbc:cdata:api:RTK=52465...;Profile=C:\profiles\Drift.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;");
} 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 Drift data in AWS Lambda functions.
Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Drift data in AWS Lambda. Reach out to our Support Team if you have any questions.
Connect to live data from Drift with the API Driver
Connect to Drift