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The Strategies tab of the Universe Parameters dialog box defines how the universe uses information from the data dictionary to help you build the universe A data dictionary is a set of system tables that your RDBMS automatically creates and maintains about the objects (tables, views, synonyms, owners) in your data source Although BusinessObjects provides some very powerful strategies to get you started, if you have a data warehouse or source system architecture that uses public synonyms (most do), you will need to create external strategies to ensure Designer can see those tables The default strategies vary slightly for each type of database you are accessing The strategy information is used during a number of Designer activities: During the wizard s universe build If you use the Insert button or menu to insert tables, joins, or candidate objects In automatically creating joins and objects, if your database options use this setting (discussed later in the section Database Options ) Although your source system DBA will generally help you customize these strategies, as a universe designer, the more you understand how they work, the better you can advise the DBA on the best approach to customization Strategies are SQL statements that read the data dictionary tables in your source system The queries then use that dictionary information to present you with a list of initial classes, objects, joins, and tables Thus if all your data warehouse tables start with DW, for example, then your initial proposed classes will also start with DW (such as Dw Product) If you do not want the user to see this DW (not recommended), then you can modify your strategy file to drop the DW from the proposed classes automatically Without modifying the strategy file, you must manually modify each individual object

O Qxi = 5 1 pi +1 k pi ( xy + x y)dp = aik (Dpi ) 2 k =1 9 1 pi +1 2 ( x + y 2 ) y dp = qxik (Dpi )k 2 pi k =1 9 1 pi +1 2 k pi ( x + y2 ) x dp = qyik (Dpi ) 2 k =1

PLINQ is the parallel version of LINQ, and it is closely related to the TPL A primary use of PLINQ is to achieve data parallelism within a query As you will see, this is very easy to do Like the TPL, PLINQ is a large topic with many facets This chapter introduces the basic concepts

At the foundation of PLINQ is the ParallelEnumerable class, which is defined in SystemLinq This is a static class that defines many extension methods that support parallel operations It is, essentially, the parallel version of the standard LINQ class Enumerable Many of the methods extend ParallelQuery Others return ParallelQuery ParallelQuery encapsulates a sequence that supports parallel operations Both generic and non-generic versions are supported We won t be working with ParallelQuery directly, but we will be making use of several ParallelEnumerable methods The most important of these is AsParallel( ), described in the following section

7:

Parallelizing a Query with AsParallel( )

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Perhaps the single most convenient feature of PLINQ is how easy it is to create a parallel query To do this, you simply call AsParallel( ) on the data source AsParallel( ) is defined by ParallelEnumerable, and it returns the data source encapsulated within a ParallelQuery instance This enables it to support parallel query extension methods Once this is done, the query will partition the data source and operate on each partition in parallel if possible, and if the query is likely to benefit from parallelization (If parallelization is not possible or reasonable, the query is simply executed sequentially) Therefore, with the addition of a single call to AsParallel( ), a sequential LINQ query is transformed into a parallel PLINQ query, and for simple queries, this is the only step necessary