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Apache Camel is an open source integration framework that allows you to integrate various systems consuming or producing data. When paired with the CData JDBC Driver for Amazon Athena, you can write Java apps that use Camel routes that integrate with live Amazon Athena data. This article explains how to create an app in NetBeans that connects, queries, and routes Amazon Athena data to a JSON file.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Amazon Athena data. When you issue complex SQL queries to Amazon Athena, the driver pushes supported SQL operations, like filters and aggregations, directly to Amazon Athena and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Amazon Athena data using native data types.
CData provides the easiest way to access and integrate live data from Amazon Athena. Customers use CData connectivity to:
Users frequently integrate Athena with analytics tools like Tableau, Power BI, and Excel for in-depth analytics from their preferred tools.
To learn more about unique Amazon Athena use cases with CData, check out our blog post: https://www.cdata.com/blog/amazon-athena-use-cases.
Follow the steps below to create a new Java project and add the appropriate dependencies:
With the project created, we can start adding the dependencies needed to work with live Amazon Athena data from our App. If you have not already done so, install Maven in your environment, as it is required to add the JAR file for the CData JDBC Driver to your project.
mvn install:install-file -Dfile="C:\Program Files\CData[product_name] 2019\lib\cdata.jdbc.amazonathena.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-amazonathena-connector" -Dversion="19" -Dpackaging=jar
Once the JDBC Driver is installed, we can add dependencies to our project. To add a dependency, you can either edit the pom.xml file or right-click the dependencies folder and click Add Dependency. The properties for each dependency follow, but you can search through the available libraries by typing the name of the dependency in the Query box in the Add Dependency wizard.
👁 Selecting a dependency| Dependency | Group ID | Artifact ID | Version |
|---|---|---|---|
| camel-core | org.apache.camel | camel-core | 3.0.0 |
| camel-jackson | org.apache.camel | camel-jackson | 3.0.0 |
| camel-jdbc | org.apache.camel | camel-jdbc | 3.0.0 |
| camel-jsonpath | org.apache.camel | camel-jsonpath | 3.0.0 |
| cdata-amazonathena-connector | org.cdata.connectors | cdata-salesforce-connector | 19 |
| commons-dbcp2 | org.apache.commons | commons-dbcp2 | 2.7.0 |
| slf4j-log4j12 | org.slf4j | slf4j-log4j12 | 1.7.30 |
| log4j | org.apache.logging.log4j | log4j | 2.12.1 |
After adding the required dependencies, we can use the Java DSL (Domain Specific Language) to create routes with access to live Amazon Athena data. Code snippets follow. Download the sample project (zip file) to follow along (make note of the TODO comments).
Start by importing the necessary classes into our main class.
import org.apache.camel.CamelContext; import org.apache.camel.builder.RouteBuilder; import org.apache.camel.impl.DefaultCamelContext; import org.apache.camel.support.SimpleRegistry; import org.apache.commons.dbcp2.BasicDataSource; import org.apache.log4j.BasicConfigurator;
Then in the main method, we configure logging, create a new BasicDataSource and add it to the registry, create a new CamelContext, and finally add a route to the context. In this sample, we route Amazon Athena data to a JSON file.
BasicConfigurator.configure();
Create a BasicDataSource and set the driver class name (cdata.jdbc.salesforce.SalesforceDriver) and URL (using the required connection properties).
To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set to the access key Id. Set to the secret access key.
Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.
To obtain the credentials for an IAM user, follow the steps below:
To obtain the credentials for your AWS root account, follow the steps below:
If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set to true and leave and empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.
In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the . This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the and of an IAM user to assume the role for. Roles may not be used when specifying the and of an AWS root user.
For users and roles that require Multi-factor Authentication, specify the and connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the (default 3600 seconds).
In addition to the and properties, specify , and . Set to the region where your Amazon Athena data is hosted. Set to a folder in S3 where you would like to store the results of queries.
If is not set in the connection, the data provider connects to the default database set in Amazon Athena.
BasicDataSource basic = new BasicDataSource();
basic.setDriverClassName("cdata.jdbc.amazonathena.AmazonAthenaDriver");
basic.setUrl("jdbc:amazonathena:AWSAccessKey='a123';AWSSecretKey='s123';AWSRegion='IRELAND';Database='sampledb';S3StagingDirectory='s3://bucket/staging/';");
The CData JDBC Driver includes a built-in connection string designer to help you configure the connection URL.
For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon Athena JDBC Driver. Either double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.amazonathena.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)SimpleRegistry reg = new SimpleRegistry();
reg.bind("myDataSource", basic);
CamelContext context = new DefaultCamelContext(reg);
The routing below uses a timer component to run one time and passes a SQL query to the JDBC Driver. The results are marshaled as JSON (and formatted for pretty print) and passed to a file component to write to disk as a JSON file.
context.addRoutes(new RouteBuilder() {
@Override
public void configure() {
from("timer://foo?repeatCount=1")
.setBody(constant("SELECT * FROM Account LIMIT 10"))
.to("jdbc:myDataSource")
.marshal().json(true)
.to("file:C:\\Users\\USER\\Documents?fileName=account.json");
}
});
With the route defined, start the CamelContext to begin the lifecycle. In this example, we wait 10 seconds and then shut down the context.
context.start(); Thread.sleep(10000); context.stop();
Now, you have a working Java application that uses Camel to route data from Amazon Athena to a JSON file. Download a free, 30-day trial of the CData JDBC Driver for Amazon Athena and the sample project (make note of the TODO comments) and start working with your live Amazon Athena data in Apache Camel. Reach out to our Support Team if you have any questions.
Download a free trial of the Amazon Athena Driver to get started:
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