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A typical use case for QBE is a search screen that allows users to specify a range of property values to be matched by the returned result set. This kind of functionality can be difficult to express cleanly in a query language; string manipulations would be required to specify a dynamic set of constraints. Both the QBC API and the example query mechanism are discussed in more detail in chapter 8. You now know the basic retrieval options in NHibernate. We focus on strategies for fetching object graphs in the rest of this section. A fetching strategy defines what part of the object graph (or, what subgraph) is retrieved with a query or load operation.

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In traditional relational data access, you fetch all the data required for a particular computation with a single SQL query, taking advantage of inner and outer joins to retrieve related entities. Some primitive ORM implementations fetch data piecemeal, with many requests for small chunks of data in response to the application s navigating a graph of persistent objects. This approach doesn t make efficient use of the relational database s join capabilities. In fact, this data-access strategy scales poorly by nature. One of the most difficult problems in ORM probably the most difficult is providing for efficient access to relational data, given an application that prefers to treat the data as a graph of objects. For the kinds of applications we ve often worked with (multiuser, distributed, web, and enterprise applications), object retrieval using many round trips to/from the database is unacceptable. We argue that tools should emphasize the R in ORM to a much greater extent than has been traditional. The problem of fetching object graphs efficiently (with minimal access to the database) has often been addressed by providing association-level fetching strategies specified in metadata of the association mapping. The trouble with this approach is that each piece of code that uses an entity requires a different set of associated objects. But this isn t enough. We argue that what is needed is support for fine-grained runtime association fetching strategies. NHibernate supports both: it lets you specify a default fetching strategy in the mapping file and then override it at runtime in code. NHibernate allows you to choose among four fetching strategies for any association, in association metadata and at runtime:

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Immediate fetching The associated object is fetched immediately, using a sequential database read (or cache lookup). Lazy fetching The associated object or collection is fetched lazily, when it s first accessed. This results in a new request to the database (unless the associated object is cached). Eager fetching The associated object or collection is fetched together with the owning object, using a SQL outer join, and no further database request is required. Batch fetching This approach may be used to improve the performance of lazy fetching by retrieving a batch of objects or collections when a lazy association is accessed. (Batch fetching may also be used to improve the performance of immediate fetching.)

Use the rs utility (Rs.exe) to manage Report Server contents. Create a Microsoft Windows application to search and update Report Server Contents. Use Windows Management Instrumentation (WMI) classes to review and update configuration settings.

Immediate association fetching occurs when you retrieve an entity from the database and then immediately retrieve another associated entity or entities in a further request to the database or cache. Immediate fetching isn t usually an efficient fetching strategy unless you expect the associated entities to almost always be cached already.

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When a client requests an entity and its associated graph of objects from the database, it isn t usually necessary to retrieve the whole graph of every (indirectly) associated object. You wouldn t want to load the whole database into memory at once; for example, loading a single Category shouldn t trigger the loading of all Items in that category. Lazy fetching lets you decide how much of the object graph is loaded in the first database hit and which associations should be loaded only when they re first accessed. Lazy fetching is a foundational concept in object persistence and the first step to attaining acceptable performance. Since NHibernate 1.2, all associations are configured for lazy fetching by default; you can easily change this behavior by setting default-lazy="false" in <hibernatemapping> of your mapping files. But we recommend that you keep this strategy and override it at runtime by queries that force eager fetching to occur.

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