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Get the Report →Access Live Azure Table Data in AWS Lambda (with IntelliJ IDEA)
Connect to live Azure Table 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 Azure Table data when paired with the CData JDBC Driver for Azure Table. This article describes how to connect to and query Azure Table 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 Azure Table data. When you issue complex SQL queries to Azure Table, the driver pushes supported SQL operations, like filters and aggregations, directly to Azure Table 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 Azure Table data using native data types.
Gather Connection Properties and Build a Connection String
Download the CData JDBC Driver for Azure Table installer, unzip the package, and run the JAR file to install the driver. Then gather the required connection properties.
Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.
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 Azure Table JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.azuretables.jar
Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.
Create a Project in IntelliJ
- In IntelliJ IDEA, click New Project.
- Select "Maven Archetype" from the Generators
- Name the project and select "maven.archetypes:maven-archetype-quickstart" Archetype.
- Click "Create"
Install the CData JDBC Driver for Azure Table 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 Azure Table 20XX/lib/cdata.jdbc.azuretables.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-azuretables-connector" -Dversion="23" -Dpackaging=jar
Add Dependencies
Within the Maven project's pom.xml file, add AWS and the CData JDBC Driver for Azure Table 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 Azure Table
<dependency> <groupId>org.cdata.connectors</groupId> <artifactId>cdata-azuretables-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
- 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:
- Constructs a SQL query using the input.
- Registers the CData JDBC driver for Azure Table.
- Establishes a connection to Azure Table using JDBC.
- Executes the SQL query on Azure Table.
- Prints the results to the console.
- Returns an output message.
- 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;
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.azuretables.AzureTablesDriver"); cdata.jdbc.azuretables.AzureTablesDriver driver = new cdata.jdbc.azuretables.AzureTablesDriver(); DriverManager.registerDriver(driver); } catch (SQLException ex) { } catch (ClassNotFoundException e) { throw new RuntimeException(e); } Connection connection = null; try { connection = DriverManager.getConnection("jdbc:cdata:azuretables:RTK=52465...;AccessKey=myAccessKey;Account=myAccountName;"); } 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.
- In IntelliJ, use the mvn install command to build the SNAPSHOT JAR file.
- Create a new function in AWS Lambda (or open an existing one).
- 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).
- Click "Upload from" -> ".zip file" and select your SNAPSHOT JAR file.
- In the "Runtime settings" section, click "Edit" and set Handler to your "handleRequest" method (e.g. package.class::handleRequest)
- 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 Azure Table and start working with your live Azure Table data in AWS Lambda. Reach out to our Support Team if you have any questions.