MSDN Documentation

ADO.NET Connection Strings

Connection strings are fundamental to ADO.NET as they provide the necessary information for a client application to connect to a data source. This information typically includes the data source's location, the database name, authentication credentials, and other parameters that dictate how the connection is established and managed.

Understanding the Structure

A connection string is a string of key-value pairs, separated by semicolons. The specific keys and their acceptable values depend on the data provider being used (e.g., SQL Server, Oracle, MySQL). However, several common parameters are widely applicable.

Common Connection String Parameters

SQL Server - Windows Authentication

This is a common scenario for applications running within a Windows domain where Windows credentials are used for authentication.

Data Source=SERVERNAME\SQLEXPRESS;Initial Catalog=MyDatabase;Integrated Security=True;

SQL Server - SQL Server Authentication

This method uses a specific SQL Server login and password.

Data Source=SERVERNAME;Initial Catalog=MyDatabase;User ID=myUsername;Password=myPassword;

SQL Server - Connection to Local DB (e.g., via SQLEXPRESS)

A simplified example for a local SQL Server Express instance.

Server=(localdb)\MSSQLLocalDB;Database=MyLocalDB;Integrated Security=True;

MySQL Example

Using the MySQL Connector/NET provider.

Server=localhost;Database=mydatabase;Uid=myUsername;Pwd=myPassword;

PostgreSQL Example

Using the Npgsql provider.

Host=localhost;Port=5432;Username=myUsername;Password=myPassword;Database=mydatabase;

Security Considerations

Connection strings often contain sensitive information, such as usernames and passwords. It is crucial to handle them securely:

Provider-Specific Information

Each data provider may have unique parameters. For detailed information specific to the provider you are using, consult the provider's documentation. For example:

Properly constructing and managing your ADO.NET connection strings is a vital step in building robust and secure data-driven applications.