SQL Server ® 2008 ® Native Client

Agenda  Introduction to SQL Server Native Client  Building High-Performance Data Access Solutions  Going Beyond Relational Data  Migrating Applications to SQL Server 2008

SQL Native Client Overview ODBC Driver OLE DB Provider Single native DLL New features only available when using SQL Server 2008 Supports SQL Server 2000 Onwards Provided with SQL Server 2008 Downloadable from MSDN Universally available to developers

Choosing a Data Access Technology ADO.NET – System.Data.SqlClient Microsoft.NET Framework SQL Server Native Client ODBC OLE DB Native code for SQL Server Windows Data Access Components (Formerly MDAC) Native code for pre SQL Server 2000 SQL Server 2005 JDBC Driver Java

Agenda  Introduction to SQL Server Native Client  Building High-Performance Data Access Solutions  Going Beyond Relational Data  Migrating Applications to SQL Server 2008

SQL Native Client Performance High performance SQL Server client access SQL Server 2008 release Optimized at the network protocol level for both ODBC and OLE DB Upwards of 10% performance improvement

Table-Valued Parameters Encapsulate tabular data in client application Ship to the server in a single command Operate on the data as a table in Transact-SQL  Improved programming model  Significant performance benefits  Cleaner, more maintainable code  Better scalability for large data volumes

Agenda  Introduction to SQL Server Native Client  Building High-Performance Data Access Solutions  Going Beyond Relational Data  Migrating Applications to SQL Server 2008

 Storage Attribute on VARBINARY(MAX)  Unstructured data stored directly in the file system (requires NTFS)  Dual Programming Model  Transact-SQL (Same as SQL BLOB)  Win32 Streaming APIs with Transact-SQL transactional semantics  Data Consistency  Integrated Manageability  Back Up / Restore  Administration  Size limit is the file system volume size  SQL Server Security Stack Store BLOBs in DB + File System Application BLOB FILESTREAM Data

Sparse Columns IDTitleFirstNameMiddleInitialLastNamePhone 1KeithHarris MrDavidPelton 3ElizabethAAnderson 4JoshPollock  Enable NULL data to consume no physical space  Access sparse columns directly or as XML-encoded name-value pairs SPARSESPARSESPARSE

User-Defined Types Implemented as CLR types Custom data structures Remove 8 KB size limit Enables more application scenarios SQL Server 2008 Enhancements

SELECT StreetName FROM Streets WHERE = 1 Spatial Operations E.g. find streets that intersect the Microsoft campus geography data type Geodetic spatial data geometry data type Planar spatial data Spatial Data Types

ORDPATH Data Type Organization hierarchy, file/folder hierarchy, etc Tree-structured data and containment relationships Application manages the tree structure Modeled as (parent, child) pair parent-child relationship, ancestor-descendant relationship relative order of nodes in the tree unlimited insertion of new nodes anywhere in tree without re-id of existing nodes Data type to better represent hierarchical relationships Allows byte-by-byte comparison of whole ORDPATH values Optimizable Operations are very fast. Provides a Huffman-encoded, variable-length, binary representation

Agenda  Introduction to SQL Server Native Client  Building High-Performance Data Access Solutions  Going Beyond Relational Data  Migrating Applications to SQL Server 2008

Migrating from SQL Server 2005  Migrate only as needed  SQL Server 2008 Native Client supports previous versions  SQL Server 2005 Native Client supports SQL Server 2008  New features are unavailable SQL Server 2000 SQL Server 2005 SQL Server 2008 SQL Server 2005 Native Client SQL Server 2008 Native Client All features supported New features unsupported

Date and Time Data Types A date only data type date A time only data type time A time zone-aware data type datetimeoffset A datetime type that supports larger fractional seconds and year range than the datetime data type datetime2

Summary High-performance data access Powerful support for relational data and beyond Easy migration from previous releases and other database platforms

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