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Note that @org.hibernate.annotations.Table isn t a replacement for @javax. perisistence.Table, so if you need to override the default table name, you still need the regular @Table. We recommend that you get the excellent book SQL Tuning by Dan Tow (Tow, 2003) if you want to learn efficient database-optimization techniques and especially how indexes can get you closer to the best-performing execution plan for your queries. One mapping we have shown a few times in this chapter is <databaseobject>. It has some other options that we haven t discussed yet.

If you cannot change the type and scope of the group, the domain in which you are operating is still in mixed or Windows Server 2003 interim domain functional level. You must raise the domain functional level to either Windows 2000 native or Windows Server 2003 to change group type or scope.

Hibernate creates the basic DDL for your tables and constraints automatically; it even creates sequences if you have a particular identifier generator. However,

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The heart of any computer system, the central processing unit (CPU or processor ), is the hardware component that is responsible for executing tasks. To execute tasks, the processor utilizes a unit of work known as a thread. If a program is written to be multithreaded, it can split itself into two or more simultaneously running tasks. Multiple threads can be executed in parallel on many computer systems. This multithreading generally occurs by time slicing, wherein a single processor switches between different threads, which means the processing only appears to be simultaneous. On a machine with multiple processors (or processor cores ), threading can be achieved via multiprocessing, which means that different threads can literally execute simultaneously on different cores. Windows supports the use of threads as well as a technique known as fiber mode scheduling, which is also known as lightweight pooling. Fibers are scheduled by the application itself and run in the context of a thread, enabling multiprocessing.

there is some DDL that Hibernate can t create automatically. This includes all kinds of highly vendor-specific performance options and any other DDL that is relevant only for the physical storage of data (tablespaces, for example). One reason this kind of DDL has no mapping elements or annotations is that there are too many variations and possibilities nobody can or wants to maintain more than 25 database dialects with all the possible combinations of DDL. A second, much more important reason, is that you should always ask your DBA to finalize your database schema. For example, did you know that indexes on foreign key columns can hurt performance in some situations and therefore aren t automatically generated by Hibernate We recommend that DBAs get involved early and verify the automatically generated DDL from Hibernate. A common process, if you re starting with a new application and new database, is to generate DDL with Hibernate automatically during development; database performance concerns shouldn t and usually don t play an important role at that stage. At the same time (or later, during testing), a professional DBA verifies and optimizes the SQL DDL and creates the final database schema. You can export the DDL into a text file and hand it to your DBA. Or and this is the option you ve seen a few times already you can add customized DDL statements to your mapping metadata:

Computer hardware today is increasingly diverse, and it is very difficult to develop applications that exploit the hardware for performance and scalability. It wasn t that long ago that computers with multiple CPUs were rare and used only in sophisticated business environments. Today, multiple CPU cores are commonplace, and features such as Symmetric Multi Processing (SMP) are often present in household systems. Manufacturers continue to find ways around the limitations of their hardware platforms and build these solutions into new systems at astonishing rates. For example, it has been generally accepted that 4 GB of RAM is the upper limit of supportable memory for 32-bit CPUs, but that hasn t stopped innovators from pushing for more. Using Non-Uniform Memory Architecture (NUMA) is becoming a standard method to enable support of more than 4 GB of RAM. Some processor manufacturers have built CPU architectures that support cache-coherent or CC-NUMA architectures that enable utilizing large amounts of memory and cache for the CPU, making NUMA available on even low-end systems. Larger enterprise computer systems with as many as 64 CPUs and 512 GB or more memory are becoming more common today. As the number of CPUs within a machine increases, hardware manufacturers are beginning to standardize on CC-NUMA architectures.

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