Access Live Salesforce Data Cloud Data in AWS Lambda (with IntelliJ IDEA)



Connect to live Salesforce Data Cloud data in AWS Lambda using IntelliJ IDEA and the CData JDBC Driver to build the function.

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 Salesforce Data Cloud data when paired with the CData JDBC Driver for Salesforce Data Cloud. This article describes how to connect to and query Salesforce Data Cloud data from an AWS Lambda function built with Maven in IntelliJ.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Salesforce Data Cloud data. When you issue complex SQL queries to Salesforce Data Cloud, the driver pushes supported SQL operations, like filters and aggregations, directly to Salesforce Data Cloud 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 Salesforce Data Cloud data using native data types.

Gather Connection Properties and Build a Connection String

Download the CData JDBC Driver for Salesforce Data Cloud installer, unzip the package, and run the JAR file to install the driver. Then gather the required connection properties.

Salesforce Data Cloud supports authentication via the OAuth standard.

OAuth

Set AuthScheme to OAuth.

Desktop Applications

CData provides an embedded OAuth application that simplifies authentication at the desktop.

You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.

Before you connect, set these properties:

  • InitiateOAuth: GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
  • OAuthClientId (custom applications only): The Client ID assigned when you registered your custom OAuth application.
  • OAuthClientSecret (custom applications only): The Client Secret assigned when you registered your custom OAuth application.

When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.

The driver then completes the OAuth process as follows:

  • Extracts the access token from the callback URL.
  • Obtains a new access token when the old one expires.
  • Saves OAuth values in OAuthSettingsLocation so that they persist across connections.
  • For other OAuth methods, including Web Applications and Headless Machines, 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.

    Built-in Connection String Designer

    For assistance constructing the JDBC URL, use the connection string designer built into the Salesforce Data Cloud JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

    java -jar cdata.jdbc.salesforcedatacloud.jar

    Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.

    Create a Project in IntelliJ

    1. In IntelliJ IDEA, click New Project.
    2. Select "Maven Archetype" from the Generators
    3. Name the project and select "maven.archetypes:maven-archetype-quickstart" Archetype.
    4. Click "Create"

    Install the CData JDBC Driver for Salesforce Data Cloud JAR File

    Use the following Maven command from the project's root folder to install JAR file in the project.

    mvn install:install-file -Dfile="PATH/TO/CData JDBC Driver for Salesforce Data Cloud 20XX/lib/cdata.jdbc.salesforcedatacloud.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-salesforcedatacloud-connector" -Dversion="23" -Dpackaging=jar

    Add Dependencies

    Within the Maven project's pom.xml file, add AWS and the CData JDBC Driver for Salesforce Data Cloud as dependencies (within the <dependencies> element) using the following XML.

    • AWS <dependency> <groupId>com.amazonaws</groupId> <artifactId>aws-lambda-java-core</artifaceId> <version>1.2.2</version> <!--Replace with the actual version--> </dependency>
    • CData JDBC Driver for Salesforce Data Cloud <dependency> <groupId>org.cdata.connectors</groupId> <artifactId>cdata-salesforcedatacloud-connector</artifaceId> <version>23</version> <!--Replace with the actual version--> </dependency>

    Create an AWS Lambda Function

    For this sample project, we create two source files: CDataLambda.java and CDataLambdaTest.java.

    Lambda Function Definition

    1. Update CDataLambda to implement the RequestHandler interface from the AWS Lambda SDK. You will need to add the handleRequest method, which performs the following tasks when the Lambda function is triggered:
      1. Constructs a SQL query using the input.
      2. Sets up AWS credentials and S3 configuration to store OAuth credentials.
      3. Registers the CData JDBC driver for Salesforce Data Cloud.
      4. Establishes a connection to Salesforce Data Cloud using JDBC.
      5. Executes the SQL query on Salesforce Data Cloud.
      6. Prints the results to the console.
      7. Returns an output message.
    2. 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;
    3. 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; // Set your AWS credentials String awsAccessKey = "YOUR_AWS_ACCESS_KEY"; String awsSecretKey = "YOUR_AWS_SECRET_KEY"; String awsRegion = "YOUR_AWS_REGION"; // AWS S3 Configuration AmazonS3 s3Client = AmazonS3ClientBuilder.standard() .withRegion(awsRegion) .withCredentials(new AWSStaticCredentialProvider(new BasicAWSCredentials(awsAccessKey, awsSecretKey))) .build(); String bucketName = "MY_AWS_BUCKET"; String oauthSettings = "S:3//"+ bucketName + "/OAuthSettings.txt"; String oauthConnection = "InitiateOAuth=REFRESH;" + "OAuthSettingsLocation=" + oauthSettings = ";" try { Class.forName("cdata.jdbc.salesforcedatacloud.SalesforceDataCloudDriver"); cdata.jdbc.salesforcedatacloud.SalesforceDataCloudDriver driver = new cdata.jdbc.salesforcedatacloud.SalesforceDataCloudDriver(); DriverManager.registerDriver(driver); } catch (SQLException ex) { } catch (ClassNotFoundException e) { throw new RuntimeException(e); } Connection connection = null; try { connection = DriverManager.getConnection("jdbc:cdata:salesforcedatacloud:RTK=52465...;" + oauthConnection + ""); } 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()); } return "query: " + query + " complete";

    Deploy and Run the Lambda Function

    Once you build the function in Intellij, you are ready to deploy the entire Maven project as a single JAR file.

    1. In IntelliJ, use the mvn install command to build the SNAPSHOT JAR file.
    2. Create a new function in AWS Lambda (or open an existing one).
    3. 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).
    4. Click "Upload from" -> ".zip file" and select your SNAPSHOT JAR file.
    5. In the "Runtime settings" section, click "Edit" and set Handler to your "handleRequest" method (e.g. package.class::handleRequest)
    6. You can now test the function. Set the "Event JSON" field to a table name and click, click "Test"

    Free Trial & More Information

    Download a free, 30-day trial of the CData JDBC Driver for Salesforce Data Cloud and start working with your live Salesforce Data Cloud data in AWS Lambda. Reach out to our Support Team if you have any questions.

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