Connect to Postmark Data in the Denodo Platform

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData API Driver for JDBC, Denodo users can work with live Postmark data alongside other enterprise data sources. This article explains how to create a virtual data source for Postmark in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Postmark data. When you issue complex SQL queries to Postmark, the driver pushes supported SQL operations, like filters and aggregations, directly to Postmark 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 Postmark data using native data types.

Create the Postmark Virtual Port

To connect to live Postmark data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

1. Download the CData API Driver for JDBC installer, unzip the package, and run the JAR file to install the driver.
2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData API Driver for JDBC\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-api-19).
3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
4. Right-click "admin" and select New -> Data source -> JDBC. 👁 Creating a new JDBC data source.
   
5. Configure the JDBC Connection:
   • Name: your choice, e.g.: api
   • Database adapter: Generic
   • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-api-19
   • Driver class: cdata.jdbc.api.APIDriver

   • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

     jdbc:api:Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"

     👁 Configuring the JDBC connection (NetSuite is shown).
     

     Information on creating the Database URI follows:

     Built-In Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Postmark JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     	java -jar cdata.jdbc.api.jar
     	

     Fill in the connection properties and copy the connection string to the clipboard.

     Using API Key Authentication

     Postmark uses server API tokens to authenticate requests. Each Postmark server has its own API token, which controls access to messages, bounces, templates, and statistics associated with that server.

     To obtain your Server API Token, log in to your Postmark account and navigate to the server you want to connect to. Go to API Tokens under the server settings and copy the token labeled Server API token.

     After setting the following connection properties, you are ready to connect:

     • AuthScheme: Set this to APIKey.
     • APIKey: Set this to your Postmark Server API Token. This value is sent as the X-Postmark-Server-Token header on every request.

     Example connection string:

     Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
     

     Connecting to Postmark

     Once the authentication is configured, you can connect to Postmark and query data from any of the available tables such as OutboundMessages, Bounces, and Templates.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
6. Click the "Test connection" button to confirm the configuration and click Save.

View Postmark Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of Postmark data for use in the Denodo Platform.

1. Click the "Create base view" button in the newly created VirtualPort (admin.API).
2. Expand the object tree and select the objects (tables) you wish to import. 👁 Selecting objects to import (NetSuite is shown).
   
3. Click the "Create selected" button to create views of the Postmark data.
   Optional: Click "Create associations from foreign keys" to define relationships between the objects.
4. With the view(s) created, navigate to a table (cdata_api_bounces) in the Server Explorer and double-click the selected table.
5. In the new tab, click "Execution panel" to open a query panel.
6. Customize the query in the "Execute" tab or use the default:

   SELECT * FROM cdata_api_bounces CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
   

   👁 Configuring the query to view the data.
   
7. Click Execute to view the data. 👁 Viewing the data.
   

With the base view created, you can now work with live Postmark data like you would any other data source in Denodo Platform, for example, querying Postmark in the Denodo Data Catalog.

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Postmark data in Denodo Platform. Reach out to our Support Team if you have any questions.