TAILIEUCHUNG - Hands-On Microsoft SQL Server 2008 Integration Services part 68

Hands-On Microsoft SQL Server 2008 Integration Services part 68. Deploy and manage high-performance data transformation solutions across your enterprise using the step-by-step techniques in this fully revised guide. Hands-On Microsoft SQL Server 2008 Integration Services, Second Edition explains the tools and methods necessary to extract conclusive business intelligence from disparate corporate data. Learn how to build and secure packages, load and cleanse data, establish workflow, and optimize performance. Real-world examples, detailed illustrations, and hands-on exercises are included throughout this practical resource. . | 648 Hands-On Microsoft SQL Server 2008 Integration Services do not block data. It s bit difficult to envisage the downstream components working on the data set that is still to be passed by the upstream component. However in reality data doesn t flow. Data stays in the same buffer and the transformation works on the relevant column. So as the data is not flowing and is remaining static in the memory buffer a transformation works on a column while the other transformation performs operations on another column. This is how multiple-row transformations can work so fast almost simultaneously on a data buffer. These transformations fall under one execution tree. The following Row transformations are examples of nonblocking synchronous row-based transformations Audit transformation Character Map transformation Conditional Split transformation Copy Column transformation Data Conversion transformation Derived Column transformation Export Column transformation Import Column transformation Lookup transformation Multicast transformation OLE DB Command transformation Percentage Sampling transformation Row Count transformation Row Sampling transformation Script Component transformation configured as Nonblocking Synchronous Row-based transformation Slowly Changing Dimension transformation Partially Blocking Asynchronous Row-Set-Based Transformations Integration Services provides some transformations that essentially add new rows in the data flow and hold on to the data buffers before they can perform the transformation. The nature of such transformations is defined as partially blocking because these Chapter 15 Troubleshooting and Performance Enhancements 649 transformations hold on to data for a while before they start releasing buffers. As these transformations add new rows in the data flow they are asynchronous in nature. For example a Merge transformation combines two sorted data sets that may be the same data but it essentially adds new rows in the data flow. The time taken

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