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HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with the CData API Driver for ODBC and SQL Gateway, HediSQL's reach extends to include access to live Google Translate data. This article demonstrates how to connect to on-premise Google Translate and query Google Translate data in HeidiSQL.
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. 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.
Google Cloud Translation API requires OAuth 2.0 authentication to ensure secure access to translation services, datasets, glossaries, and adaptive MT resources. This authentication method allows you to securely connect to your Google Cloud project and manage translation resources with proper authorization.
To set up OAuth authentication:
The Google Cloud Translation API Profile requires the following OAuth scope:
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
See the SQL Gateway Overview to set up connectivity to Google Translate data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.
👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)To connect to the SQL Gateway from HeidiSQL, you will need to run the SQL Gateway on a web-facing machine. After configuring the SQL Gateway, make note of the following information:
If your ODBC Driver and the remoting service are installed on-premise (and not accessible from HeidiSQL), you can use the reverse SSH tunneling feature to enable remote access. For detailed instructions, read our Knowledge Base article: SQL Gateway SSH Tunneling Capabilities.
Once you have a MySQL Service configured for the CData API Driver for ODBC, you are ready to connect to the data in HeidiSQL. Start by creating a new connection Session in HeidiSQL, then choose the MySQL library type.
Configure the data set using the values for the MySQL service for Google Translate you configured in SQL Gateway (be sure to use the DSN for the database name). Validate your connection and click Open.
👁 Configure the connection to SQL Gateway.With the CData API Driver for ODBC and SQL Gateway, you are able to easily query data from Google Translate data in HeidiSQL. If you have any questions, such as needing to access your on-premises data from HeidiSQL, let our Support Team know.
Connect to live data from Google Translate with the API Driver
Connect to Google Translate