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First we’ll show you how transitive persistence can make your work with complex object networks easier.
The cascading options you can enable in Hibernate and Java Persistence applications significantly reduce the amount of code that’s otherwise needed to insert, update, or delete several objects at the same time.
That’s where the second-level cache comes to the rescue.
Being tightly integrated with Hibernate, the second-level cache can provide better data consistency since entries are cached in a normalized fashion, just like in a relational database.
“Mapping a parent/children relationship,” when you mapped a parent/child relationship between Bid and Item.
In this case, bids were not only automatically made persistent when they were added to an item, but they were also automatically deleted when the owning item was deleted.
Finally, we show you data filtering and interception, both of which offer transparent hooks into the loading and storing process inside Hibernate’s engine.Choosing the right mappings is very important for a high-performance data access layer.From the identifier generators to associations, there are many options to choose from, yet not all choices are equal from a performance perspective.Changing a parent entity only requires a single entry cache update, as opposed to cache entry invalidation cascading in key-value stores.This topic shows you how to make data manipulations more efficient.