Access Live Linear Data in AWS Lambda (with IntelliJ IDEA)

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 Linear data when paired with the CData JDBC Driver for Linear. This article describes how to connect to and query Linear 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 Linear data. When you issue complex SQL queries to Linear, the driver pushes supported SQL operations, like filters and aggregations, directly to Linear 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 Linear data using native data types.

Step 1: Gather connection properties and build a connection string

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

You can authenticate to Linear with a personal API key or with OAuth 2.0. The API key is the simplest option for connecting with your own Linear account.

Authenticating with an API Key

Set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: A Linear personal API key.

To create a personal API key, log in to Linear, open Settings > Security & access > Personal API keys, select New API key, and create it. Copy the key immediately, because Linear shows it only once.

Authenticating with OAuth

OAuth requires a custom OAuth application registered in Linear (Settings > API > OAuth applications), which provides the OAuthClientId and OAuthClientSecret. Two flows are supported:

• Authorization code: Set AuthScheme to OAuth, InitiateOAuth to GETANDREFRESH, and provide OAuthClientId, OAuthClientSecret, and the CallbackURL defined in your application (e.g., http://localhost:33333). The driver opens Linear in your browser so you can grant access.
• Client credentials: Set AuthScheme to OAuthClient and provide OAuthClientId and OAuthClientSecret. This authenticates the application itself, with no browser interaction, and suits machine-to-machine integrations.

By default, the driver requests the read,write scopes. The driver refreshes the access token automatically when it expires.

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 Linear JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.linear.jar

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

Step 2: 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 Linear 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 Linear 20XX/lib/cdata.jdbc.linear.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-linear-connector" -Dversion="23" -Dpackaging=jar

Add Dependencies

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

• AWS

  
  <dependency>
     <groupId>com.amazonaws</groupId>
     <artifactId>aws-lambda-java-core</artifactId>
     <version>1.2.2</version> <!--Replace with the actual version-->
  </dependency>

• CData JDBC Driver for Linear

  
  <dependency>
     <groupId>org.cdata.connectors</groupId>
     <artifactId>cdata-linear-connector</artifactId>
     <version>25</version> <!--Replace with the actual version-->
  </dependency>

• Maven Shade Plugin to create a fat JAR

  
  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <version>3.4.1</version>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
            <configuration>
              <createDependencyReducedPom>false</createDependencyReducedPom>
              <transformers>
                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                  <mainClass>com.example.CDataLambda</mainClass>
                    <!-- Change to your actual Lambda handler class -->
                </transformer>
              </transformers>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>

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. Registers the CData JDBC Driver for Linear
   3. Establishes a connection to Linear using JDBC
   4. Executes the SQL query on Linear
   5. Prints the results to the console
   6. Returns an output message

2. Use the complete Lambda class below, which includes the imports, class definition, and handleRequest method. Be sure to fill in your connection string values in the DriverManager.getConnection call.

   
   package com.example;
   
   import com.amazonaws.services.lambda.runtime.Context;
   import com.amazonaws.services.lambda.runtime.RequestHandler;
   
   import java.sql.Connection;
   import java.sql.DriverManager;
   import java.sql.ResultSet;
   import java.sql.ResultSetMetaData;
   import java.sql.SQLException;
   import java.sql.Statement;
   public class CDataLambda implements RequestHandler < Object, String > {
   
     @Override
     public String handleRequest(Object input, Context context) {
       String query = "SELECT * FROM " + input;
   
       String bucketName = "MY_AWS_BUCKET";
       try {
         Class.forName("cdata.jdbc.linear.LinearDriver");
         cdata.jdbc.linear.LinearDriver driver = new cdata.jdbc.linear.LinearDriver();
         DriverManager.registerDriver(driver);
       } catch (SQLException ex) {
         // Registering the driver failed
         throw new RuntimeException("Failed to register JDBC driver", ex);
       } catch (ClassNotFoundException e) {
         // The driver class was not found in the classpath
         throw new RuntimeException("JDBC Driver class not found", e);
   
       }
       Connection connection = null;
       try {
         connection = DriverManager.getConnection("jdbc:cdata:linear:RTK=52465...;AuthScheme=APIKey;APIKey=myAPIKey;");
       } 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!
   ");
       }
   
       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("
   ", "") : null);
           }
           System.out.print("
   ");
         }
       } catch (SQLException ex) {
         System.out.println("SQL Exception: " + ex.getMessage());
       } catch (Exception ex) {
         System.out.println("General exception: " + ex.getMessage());
       }
       return "v24 query: " + query + " complete";
     }
   }
   
   

Step 3: 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.

   Note: The Maven Shade Plugin generates two JARs in the target folder. Always upload the larger -shaded.jar file to AWS Lambda, as it contains all required dependencies.

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 Linear and start working with your live Linear data in AWS Lambda. Reach out to our Support Team if you have any questions.