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> Joe, > > Hibernate stores objects in memory with a changed flag. Changed items > are flushed on commit but it can be forced with a flush. Most of the > time you make all your changes in memory and then commit at the end. > Hibernate can be configured to prevent updates based on stale data. > There is a default order for changes that works 99% of the time but > occasionally you will need to flush. Most significant for performance is > caching and lazy initialization, which you have to use carefully to > avoid issues like stale data and initialized lazy relationships. Ha! I knew it. Write caching. I'm not sure how often you flush, but write caching is perhaps the most powerful performance enhancement you can make to a system. It is also easily the most dangerous, especially if your application allows things like key changes; if a key change is not committed, logical views can be distorted and depending on the complexity of the system that can be fatal. I wrote an entire database object system back in a previous life which supported things like shadow writes and dirty reads, and all I can say is that it takes a LOT of careful programming to keep everything working. It gets especially difficult when a database field is shared among multiple objects. And of course, if your system crashes without a commit, you lose everything. Performance vs. risk is always a classic tradeoff. The problem is that the crash usually occurs under heavy production load, like when you run out of memory. But it's good to hear someone making it work. Personally, I've been looking at Hibernate and it seemed like it had some potential. The fact that it uses write caching, but that the caching seems to have a reasonable levfel of user control, makes it worthwhile. Joe
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