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Appendix B
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example, the SharedState attribute indicates whether the API exposes the ability to create or manage static class fields. Synchronization indicates whether the API exposes the ability to perform thread management. ExternalProcessMgmt indicates whether the API exposes a way to control the host process. Given these attributes, the developer can specify a list of HPAs, such as the SharedState attribute, that should be disallowed in the hosted environment. In this case, the CLR denies attempts by user code to call APIs that are annotated by the HPAs in the prohibited list.
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CLR Database Object Types
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In SQL Server 2005, several database object types can be implemented in CLR code. These object types are as follows:
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CLR Stored Procedures These are stored procedures that utilize CLR code instead of TSQL code. They have the same execution characteristics as a T-SQL stored procedure; for example, the process to execute a CLR stored procedure from client code is identical to executing a TSQL stored procedure. CLR Triggers These are database triggers that utilize CLR code instead of TSQL code. Using CLR triggers, database developers can implement complex logic that is not possible in T-SQL. CLR triggers function identically to T-SQL stored procedures. User-Defined Types (UDTs) User-Defined Types are a way for database developers to apply object orientation into database code. For example, database developers can implement a custom class in .NET code that has all of the attributes required to represent a specific object. This class can then be created as a UDT and used to create a column and store data in a SQL Server 2005 table. CLR Table-Valued Functions (TVFs) CLR table-valued functions have one very important advantage over TSQL TVFs: They do not need a temporary work table to store results and can begin streaming the data back immediately. This is especially important for user perceptions of performance for large data sets. User-Defined Aggregates (UDAs) User-Defined Aggregates are useful when developing applications that perform complex mathematical operations. T-SQL can perform mathematical functions, but it is not designed for that purpose. Using UDAs, database developers can exert tight control over how aggregate calculations are performed.
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CLR vs. Transact-SQL
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Transact-SQL (T-SQL) is the native programming language supported by SQL Server. It is compliant with both the American National Standards Institute (ANSI) and International Organization for Standardization (ISO) standards for SQL and contains data-manipulation
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SQL Server 2005 Architecture and Internals
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features and data-definition features. The data-manipulation features can be broadly categorized into two parts: a declarative query language (composed of SELECT/INSERT /UPDATE/DELETE statements) and a procedural language (WHILE, assignment, triggers, cursors, etc.). Generally, CLR support in SQL Server provides an alternative to the procedural portion of T-SQL. Even without CLR support, it is important to recognize that database applications should use the declarative query language as much as possible. This portion of the language is able to leverage the power of the query processor, which is best able to optimize and perform bulk operations. Developers should only resort to CLR programming to express logic that cannot be expressed within the query language. All of this remains true with CLR support in SQL Server: the CLR should not be used to write procedural code that can be expressed using the declarative features of the T-SQL language. Developers should be aware that there are a number of significant enhancements to the T-SQL query language in SQL Server 2005 that augment the power of the T-SQL query language; they should ensure that they are taking full advantage of them before writing procedural code, whether in the CLR or otherwise. New features in T-SQL that should be considered before writing CLR code are the ability to write recursive queries to traverse recursive hierarchies in a table; new analytical functions such as RANK and ROW_NUMBER that enable ranking rows in a result set; and new relational operators such as EXCEPT, INTERSECT, APPLY, PIVOT, and UNPIVOT. Developers should view the CLR as an efficient alternative for logic that cannot be expressed declaratively in the query language. In T-SQL, query language statements such as SELECT, INSERT, UPDATE, and DELETE are simply embedded within procedural code. CLR code uses the ADO.NET data access provider for SQL Server (SqlClient). Using this approach, all query language statements are represented by dynamic strings that are passed as arguments to methods and properties in the ADO.NET API. Because of this, data access written using the CLR can be more verbose than T-SQL. More importantly, because the SQL statements are encoded in dynamic strings, they are not compiled or validated until they are executed, which affects both the debugging of the code and its performance. It is important to note that both T-SQL-based and CLR-based programming models use the same SQL query language; only the procedural portions differ. One issue that developers have with programming CLR code inside of SQL Server is the fact that data access is not as easy as it is with T-SQL. In T-SQL, returning data is as simple as using a SELECT statement. With the CLR and the Native Data Access Provider, developers must use a SqlPipe object to return data to the client, as shown below:
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//C# using System; using System.Data; using System.Data.SqlClient;
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