Connect to Telegram Data in DBeaver

The CData API Driver for ODBC enables access to live data from Telegram under the ODBC standard, allowing you work with Telegram data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to manage Telegram data with visual tools in DBeaver like the query browser.

The CData ODBC drivers offer unmatched performance for interacting with live Telegram data in DBeaver due to optimized data processing built into the driver. When you issue complex SQL queries from DBeaver to Telegram, the driver pushes supported SQL operations, like filters and aggregations, directly to Telegram and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can manage and analyze Telegram data.

Connect to Telegram

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Using API Key Authentication

Telegram uses Bot Tokens to authenticate API requests. You can obtain a Bot Token by creating a bot via BotFather on Telegram (https://t.me/BotFather). Once created, BotFather will provide a token in the format

123456789:ABCdefGhIJKlmNoPQRsTUVwxyZ

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

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Telegram Bot Token obtained from BotFather.

Example connection string

Profile=C:\profiles\Telegram.apip;ProfileSettings='APIKey=your_bot_token';

Finally, set the "Map To WVarchar connection property to False in the DSN Configuration window for the driver. This configuration will allow string types to be mapped to SQL_VARCHAR and prevent SQL_WVARCHAR types from being displayed as NULL.

Connecting to the Telegram ODBC Data Source in DBeaver

1. Open the DBeaver application and in the Database menu, select the New Database Connection option. 👁 Creating a new Database Connection
   
2. In the 'Connect to a database' window, select ODBC and click Next. 👁 Creating a new Database Connection
   
3. In the Database/Schema field, enter the DSN name (CData Telegram Source by default). It will be automatically added to the JDBC URL as well.
4. Click the Test Connection button. You should receive a 'Connected' message after DBeaver has detected the DSN, along with details about the driver if the connection is successful. 👁 Successfully tested connection
   

Query Telegram Data

You can now query information from the tables exposed by the data source connection. You can expand the database structure in order to view all the tables. You can retrieve the table's data by right-clicking on a table name and selecting View data. The data will then be available in the Data tab.

Free Trial & More Information

At this point, you have connected to live Telegram data from DBeaver. For more information, visit the CData ODBC Driver page. Download a free, 30-day trial and start working live Telegram data DBeaver today.