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TIBCO DV Adapters

Access Live Amazon Athena Data in TIBCO Data Virtualization



Use the CData TIBCO DV Adapter for Amazon Athena to create a Amazon Athena data source in TIBCO Data Virtualization Studio and gain access to live Amazon Athena data from your TDV Server.

TIBCO Data Virtualization (TDV) is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources. When paired with the CData TIBCO DV Adapter for Amazon Athena, you get federated access to live Amazon Athena data directly within TIBCO Data Virtualization. This article walks through deploying an adapter and creating a new data source based on Amazon Athena.

With built-in optimized data processing, the CData TIBCO DV Adapter offers unmatched performance for interacting with live Amazon Athena data. When you issue complex SQL queries to Amazon Athena, the adapter pushes supported SQL operations, like filters and aggregations, directly to Amazon Athena. Its built-in dynamic metadata querying allows you to work with and analyze Amazon Athena data using native data types.

Deploy the Amazon Athena TIBCO DV Adapter

  1. In a console, navigate to the bin folder in the TDV Server installation directory. If there is a current version of the adapter installed, you will need to undeploy it.

    .\server_util.bat -server localhost -user admin -password ******** -undeploy -version 1 -name AmazonAthena
    
  2. Extract the CData TIBCO DV Adapter to a local folder and deploy the JAR file (tdv.amazonathena.jar) to the server from the extract location.

    .\server_util.bat -server localhost -user admin -password ******** -deploy -package /PATH/TO/tdv.amazonathena.jar
    

You may need to restart the server to ensure the new JAR file is loaded properly, which can be accomplished by running the composite.bat script located at: C:\Program Files\TIBCO\TDV Server <version>\bin. Note that reauthenticating to the TDV Studio is required after restarting the server.

Sample Restart Call

.\composite.bat monitor restart
Once you deploy the adapter, you can create a new data source in TDV Studio for Amazon Athena.

Create a Amazon Athena Data Source in TDV Studio

With the CData TIBCO DV Adapter for Amazon Athena, you can easily create a data source for Amazon Athena and introspect the data source to add resources to TDV.

Create the Data Source

  1. Right-click on the folder you wish to add the data source to and select New -> New Data Source.
  2. Scroll until you find the adapter (e.g. Amazon Athena) and click Next.
  3. Name the data source (e.g. CData Amazon Athena Source).
  4. Fill in 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:

    1. Sign into the IAM console.
    2. In the navigation pane, select Users.
    3. 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:

    1. Sign into the AWS Management console with the credentials for your root account.
    2. Select your account name or number and select My Security Credentials in the menu that is displayed.
    3. 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.

  5. Click Create & Close.

Introspect the Data Source

Once the data source is created, you can introspect the data source by right-clicking and selecting Open. In the dashboard, click Add/Remove Resources and select the Tables, Views, and Stored Procedures to include as part of the data source. Click Next and Finish to add the selected Amazon Athena tables, views, and stored procedures as resources.

After creating and introspecting the data source, you are ready to work with Amazon Athena data in TIBCO Data Virtualization just like you would any other relational data source. You can create views, query using SQL, publish the data source, and more.