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You may recall that we briefly discussed transaction isolation levels in chapter 6, and that we encouraged you to choose the appropriate transactional isolation level supported by the underlying database system(s). Additionally, a highly transactional system must enforce appropriate locking strategies to make sure that users don t step on one another. Now we re ready to cover the known patterns on how to deal with concurrency. Given how important locking is to multiuser applications, let s discuss the various types of locking next. Then we ll focus on optimistic locking with JPA and show how you can obtain locks on entities using the EntityManager API.

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13.1.1 Understanding locking types To avoid concurrency issues, applications must use appropriate locking mechanisms. Locking strategies are generally grouped into two camps: optimistic and pessimistic. Optimistic locking can be viewed as a cure it mind-set, whereas pessimistic locking is more of a prevent it concept. This section examines the differences between these two locking approaches.

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Encrypting SOAP Messages Using Web Services Enhancements Jeannine Hall Gailey MSDN white paper (December 2002) http://msdn.microsoft.com/library/default.asp url=/library/en-us/dnwse/html/ wseencryption.asp Web Services Security: Moving Up the Stack Maryann Hondo, David Melgar, and Anthony Nadalin IBM developerWorks white paper (December 2002) http://www-106.ibm.com/developerworks/library/ws-secroad/ Web Services Security Username Token Profile OASIS working draft (January 2003) http://www.oasis-open.org/committees/wss/documents/WSS-Username-11.pdf Web Services Security Kerberos Binding Giovanni Della-Libera (Microsoft), Brendan Dixon (Microsoft), Praerit Garg (Microsoft), Maryann Hondo (IBM), Chris Kaler (Microsoft), Hiroshi Maruyama (IBM), Anthony Nadalin (IBM), and Nataraj Nagaratnam (IBM) MSDN white paper (December 2003) http://msdn.microsoft.com/library/default.asp url=/library/en-us/dnglobspec/html/ ws-security-kerberos.asp Security Features in WSE 3.0 Keith Brown MSDN Magazine (November 2005) http://msdn.microsoft.com/msdnmag/issues/05/11/SecurityBriefs/default.aspx Web Service Security: Scenarios, Patterns, and Implementation Guidance for Web Services Enhancements (WSE) 3.0 Jason Hogg (Microsoft), Don Smith (Microsoft), Fred Chong (Microsoft), Dwayne Taylor (RDA Corporation), Lonnie Wall (RDA Corporation), and Paul Slater (Wadeware LLC) MSDN Patterns and Practices guide (December 2005) http://msdn.microsoft.com/library/default.asp url=/library/en-us/dnpag2/html/ wssp.asp Web Service Security: Scenarios, Patterns, and Implementation Guidance home page Microsoft Patterns and Practices community workspace http://www.gotdotnet.com/codegallery/codegallery.aspx id= 67f659f6-9457-4860-80ff-0535dffed5e6

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Pessimistic locking Pessimistic locking is a strategy reflective of a pessimistic state of mind, where you prevent users from doing certain things, assuming that they will go wrong. When using pessimistic locking, you lock all involved database rows for the entire span of time a user shows an interest in modifying an entity.

JPA does not have support for pessimistic locking strategies. However,

size 16 // attributes elided for clarity here } Notice that both proxy types for HWND__ and tagRECT are defined as value types (they extend System::ValueType) However, the only information specifying the binary layout of the type is the size For the HWND__ type, the metadata size 4 is used because this type contains one 4-byte data member named unused Since tagRECT has four data members of 4 bytes in length, you can see that the metadata is size 16 Using this metadata, the JIT compiler knows how much memory to allocate on the stack for each local variable and each parameter A value type instance on the stack does not have an object header or any other runtime predefined data All bytes of a value on the stack can be gotten and set with IL instructions.

Figure 13.1 illustrates pessimistic locking. A user may acquire two types of lock on an entity: write or read. A write lock prevents users from attempting any kind of operations such as read, update, or delete, on the locked row(s). A read lock allows others to read the locked data but they are unable to update or delete it. A pessimistic lock is relatively easy to implement, since most databases allow you to lock tables, rows, and so forth. You can use the SELECT FOR UPDATE semantics in the database to implement pessimistic locking. Pessimistic locking has many disadvantages. For instance, it may make your applications slower because all users have to wait for an entity s locks to be released. It may also introduce deadlock conditions into your system. If a system has several users, transactions involve a greater number of objects, or transactions are long-lived, then the chance of having to wait for a lock to be released

Figure 13.1 In pessimistic locking, when a user wants to update the data the underlying records are locked and no other user can perform any operation on the data. It is typically implemented using SELECT ... FOR UPDATE semantics.

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