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What should happen to entities A and B in this sequence (Before you answer, recall that bulk operations translate directly to SQL and bypass the persistence context!) In the case of entity A, the provider has to assume that the persistence context is correct and so will still attempt to insert the new entity even though it should have been removed. In the case of entity B, again the provider has to assume that managed version is the correct version and will attempt to update the version in the database, undoing the bulk update change. This brings us to the issue of extended persistence contexts. Bulk operations and extended persistence contexts are a particularly dangerous combination because the persistence context survives across transaction boundaries, but the provider will never refresh the persistence context to reflect the changed state of the database after a bulk operation has completed. When the extended persistence context is next associated with a transaction, it will attempt to synchronize its current state with the database. Because the managed entities in the persistence context are now out of date with respect to the database, any changes made since the bulk operation could result in incorrect results being stored. In this situation, the only option is to refresh the entity state or ensure that the data is versioned in such a way that the incorrect change can be detected. Locking strategies and refreshing of entity state are discussed in 11.

In our discussion of the remove() operation in the previous chapter, we emphasized that relationship maintenance is always the responsibility of the developer. The only time a cascading remove occurs is when the REMOVE cascade option is set for a relationship. Even then, the persistence provider won t automatically update the state of any managed entities that refer to the removed entity. As we are about to see, the same requirement holds true when using DELETE statements as well. A DELETE statement in JP QL corresponds more or less to a DELETE statement in SQL. Writing the statement in JP QL gives you the benefit of working with entities instead of tables, but the semantics are exactly the same. This has implications for how applications must write DELETE statements in order to ensure that they execute correctly and leave the database in a consistent state. DELETE statements are applied to a set of entities in the database, unlike remove(), which applies to a single entity in the persistence context. A consequence of this is that DELETE statements do not cascade to related entities. Even if the REMOVE cascade option is set on a relationship, it will not be followed. It is your responsibility to ensure that relationships are correctly updated with respect to the entities that have been removed. The persistence provider also has no control over constraints in the

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Benefits of DI The following are the benefits of DI: Dependency injection promotes loose coupling. With a factory helper, for instance, you can remove hard-coded dependencies through P2I. It is possible to configure them outside the application and provide hot-swappable and hot-pluggable implementations. It facilitates test-driven development (TDD). Objects can be easily tested because they do not require any particular container to run. They can be tested as long as the dependencies are injected by some mechanism.

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