Data access from CLR database objects

Applies to: SQL Server

A common language runtime (CLR) routine might easily access data stored in the instance of SQL Server in which it runs, and data stored in remote instances. The user context in which the code runs, determines the particular data the routine can access. Access data from within a CLR database object by using the .NET Framework Data Provider for SQL Server, also referred to as SqlClient. This is the same provider used by developers accessing SQL Server data from managed client and middle-tier applications. Because of this, you can use your knowledge of ADO.NET and SqlClient in client and middle-tier applications.

User-defined type methods and user-defined functions aren't allowed to perform data access by default. You must set the DataAccess property of SqlMethodAttribute or SqlFunctionAttribute to DataAccessKind.Read to enable read-only data access from user-defined type (UDT) methods or user-defined functions. Data modification operations aren't allowed from UDTs or user-defined functions, and throw exceptions at execution time if attempted.

This section discusses only the specific functional and behavioral differences when accessing data from within a CLR database object. For more information about the features and functionality of ADO.NET, see the ADO.NET documentation included in the .NET Framework SDK.

The following table lists the articles in this section.

Article Description
Context connection Describes the context connection to SQL Server.
Impersonation and credentials for connections Describes impersonating connections and connection credentials.
SQL Server in-process specific extensions to ADO.NET Discusses the in-process specific SqlPipe, SqlContext, SqlTriggerContext, and SqlDataRecord objects.
CLR integration and transactions Describes how the new transaction framework provided in the System.Transactions namespace integrates with ADO.NET and SQL Server CLR integration.
XML Serialization from CLR Database Objects Explains how to enable XML serialization scenarios of CLR database objects inside SQL Server.