Create Amazon Athena-Connected Applications in Appsmith

Appsmith is an open-source internal tool builder that allows teams to quickly and easily build a UI to help improve their business operations. When combined with CData Connect AI, you gain immediate access to Amazon Athena data for business applications. This article outlines the process of connecting to Amazon Athena using Connect AI and creating a basic application from Amazon Athena data within Appsmith.

CData Connect AI offers a pure SQL Server, cloud-to-cloud interface for Amazon Athena, enabling the creation of business applications directly from live Amazon Athena data within Appsmith, all without the need for data replication to a native database. As you build applications, Appsmith generates SQL queries to gather data. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Amazon Athena. This leverages server-side processing to swiftly deliver the requested Amazon Athena data.

Getting Started

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Configure Amazon Athena Connectivity for Appsmith

Connectivity to Amazon Athena from Appsmith is made possible through CData Connect AI. To work with Amazon Athena data from Appsmith, we start by creating and configuring a Amazon Athena connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Amazon Athena" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Amazon Athena.

   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 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.

   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 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.

   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 . 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.

   Authenticating with MFA

   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).

   Connecting to Amazon Athena

   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.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Amazon Athena Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, we are ready to connect to Amazon Athena data from Appsmith.

Create an Appsmith Application from live Amazon Athena Data

To establish a connection from Appsmith to the CData Connect AI Virtual SQL Server, follow these steps:

Connect to Amazon Athena in Appsmith

1. Log in to your Appsmith instance and create a new application.
2. In the new application, open the Data page and select Bring your data. 👁 Open the Data page
   
3. On this page, you can search for Microsoft SQL Server and select it as your data source. 👁 Select Microsoft SQL Server datasource
   
4. Enter a name for the new data source and then enter the following connection settings:
   • Host address: tds.cdata.com
   • Port: 14333
   • Database name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, AmazonAthena1).
   • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • Password: enter the PAT you previously generated.
   👁 Configure the connection to the Connect AI Virtual SQL Server (Salesforce shown)
   
5. Click Test configuration to confirm a successful connection, then click Save to save the datasource.

Create a new query

With a connection configured to a datasource, we can add a SQL query to actually retrieve data from the data source.

1. On the screen with the new data source, click New Query. 👁 Create a New Query
   
2. This opens the Query Editor to enter a SQL query to select data. To assist with specifying a SQL query, use the Explorer of CData Connect AI to preview the SQL queries and the data you want to retrieve. 👁 Preview queries in the Explorer
   
3. After creating the SQL query, return to the Query Editor in Appsmith and enter the SQL query, then click Run. 👁 Run the SQL query
   
4. Once the query successfully runs, all that remains is to set up the Page to display the data retrieved.

Display Amazon Athena data

1. Open the UI tab and click New UI element. 👁 New UI element
   
2. Choose a new UI element to grab, then drag and place the element on the page. 👁 New UI element
   
3. Click Connect data on the new UI element, then select the query previously created. 👁 Connect to data
   
4. With the data connected, it is then displayed in the UI element. 👁 UI element connected
   

Deploy the application

With the Amazon Athena data connected to the UI elements in the application, we can deploy the Application. To do this, click Deploy in the top-right corner of Appsmith, then the application is opened in a separate window displaying the Amazon Athena data.

👁 Application deployed

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