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Get the Report →How to Connect DBeaver to Amazon Athena via a JDBC Driver
Manage Amazon Athena data with visual tools in DBeaver like the query browser.
The CData JDBC Driver for Amazon Athena implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to Amazon Athena data with wizards in DBeaver and browse data in the DBeaver GUI.
About Amazon Athena Data Integration
CData provides the easiest way to access and integrate live data from Amazon Athena. Customers use CData connectivity to:
- Authenticate securely using a variety of methods, including IAM credentials, access keys, and Instance Profiles, catering to diverse security needs and simplifying the authentication process.
- Streamline their setup and quickly resolve issue with detailed error messaging.
- Enhance performance and minimize strain on client resources with server-side query execution.
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.
Getting Started
Create a JDBC Data Source for Amazon Athena Data
Follow the steps below to load the driver JAR in DBeaver.
- Open the DBeaver application and, in the "Database" menu, select the "Driver Manager" option. Click "New" to open the "Create new driver" form.
- In the Settings tab:
- Set Driver Name to a user-friendly name for the driver (e.g. CData JDBC Driver for Amazon Athena).
- Set Class Name to the class name for the JDBC driver: cdata.jdbc.amazonathena.AmazonAthenaDriver.
- Set URL Template to jdbc:amazonathena:.
- In the Libraries tab, click "Add File," navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\) and select the JAR file (cdata.jdbc.AmazonAthena.jar).
Create a Connection to Amazon Athena Data
Follow the steps below to add credentials and other required connection properties.
- In the "Database" menu, click "New Database Connection."
- In the "Connect to a database" wizard that results, select the driver you just created (e.g. CData JDBC Driver for Amazon Athena) and click "Next >."
- On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:
Authenticating to Amazon Athena
To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set AccessKey to the access key Id. Set SecretKey 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.
Obtaining the Access Key
To obtain the credentials for an IAM user, follow the steps below:
- Sign into the IAM console.
- In the navigation pane, select Users.
- To create or manage the access keys for a user, select the user and then select the Security Credentials tab.
To obtain the credentials for your AWS root account, follow the steps below:
- Sign into the AWS Management console with the credentials for your root account.
- Select your account name or number and select My Security Credentials in the menu that is displayed.
- Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.
Authenticating from an EC2 Instance
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 UseEC2Roles to true and leave AccessKey and SecretKey empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.
Authenticating as an AWS Role
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 RoleARN. 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 AccessKey and SecretKey of an IAM user to assume the role for. Roles may not be used when specifying the AccessKey and SecretKey of an AWS root user.
Authenticating with MFA
For users and roles that require Multi-factor Authentication, specify the MFASerialNumber and MFAToken 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 TemporaryTokenDuration (default 3600 seconds).
Connecting to Amazon Athena
In addition to the AccessKey and SecretKey properties, specify Database, S3StagingDirectory and Region. Set Region to the region where your Amazon Athena data is hosted. Set S3StagingDirectory to a folder in S3 where you would like to store the results of queries.
If Database is not set in the connection, the data provider connects to the default database set in Amazon Athena.
Built-in Connection String Designer
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.
Below is a typical connection string:
jdbc:amazonathena:AWSAccessKey='a123';AWSSecretKey='s123';AWSRegion='IRELAND';Database='sampledb';S3StagingDirectory='s3://bucket/staging/';
- Click "Test Connection ..." to ensure you have configured the connection properly.
- Click "Finish."
Query Amazon Athena Data
You can now query information from the tables exposed by the connection: Right-click a Table and then click View Table. The data is available on the Data tab.
