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In discussing the Oracle database architecture, you can make a distinction between the physical and logical structures. You don t take all the data from the tables of an Oracle database and just put it on disk somewhere on the operating system storage system. Oracle uses a sophisticated logical view of the internal database structures that helps in storing and managing data properly in the

Waiting for a latch can be an expensive operation If the latch is not available immediately and we are willing to wait for it, as we likely are most of the time, then on a multi-CPU machine our session will spin trying over and over, in a loop, to get the latch The reasoning behind this is that context switching (ie, getting kicked off the CPU and having to get back on the CPU) is expensive So, if the process cannot get a latch immediately, we ll stay on the CPU and try again immediately rather than just going to sleep, giving up the CPU, and trying later when we ll have to get scheduled back on the CPU.

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physical data files. By organizing space into logical structures and assigning these logical entities to users of the database, Oracle databases logically separate the database users (who own the database objects, such as tables) from the physical manifestations of the database (data files and so forth). The following sections discuss the various logical and physical data structures.

Oracle databases use a set of logical database storage structures in order to manage the physical storage that is allocated in the form of operating system files. These logical structures, which primarily include tablespaces, segments, extents, and blocks, allow Oracle to control the use of the physical space allocated to the Oracle database. Taken together, a set of related logical objects in a database is called a schema. Remember that Oracle database objects, such as tables, indexes, and packaged SQL code, are actually logical entities. Dividing a database s objects among various schemas promotes ease of management and a higher level of security. Let s look at the logical composition of an Oracle database from the bottom up, starting with the smallest logical components and moving up to the largest entities: Data blocks: The Oracle data block is at the foundation of the database storage hierarchy and is the basis of all database storage in an Oracle database. A data block consists of a number of bytes of disk space in the operating system s storage system. All Oracle s space allocation and usage is in terms of Oracle data blocks. Extents: An extent is two or more contiguous Oracle data blocks, and this is the unit of space allocation. Segments: A segment is a set of extents that you allocate to a logical structure like a table or an index (or some other object). Tablespaces: A tablespace is a set of one or more data files, and usually consists of related segments. The data files contain the data of all the logical structures that are part of a tablespace, like tables and indexes. The following sections explore each of these logical database structures in detail.

The hope is that the holder of the latch is busy processing on the other CPU (and since latches are designed to be held for very short periods of time, this is likely) and will give it up soon If after spinning and constantly trying to get the latch, we still fail to obtain it, only then will our process sleep, or take itself off of the CPU, and let some other work take place The pseudo-code to get a latch get might look like this: Attempt to get Latch If Latch gotten Then return SUCCESS Else Misses on that Latch = Misses+1; Loop Sleeps on Latch = Sleeps + 1 For I in 1 ..

system, alerting subscribers of potentially interesting occurrences. An interrogative sentence is a request for information, such as a method that returns data. When applied to software interactions, I ll call sentence types interaction types. Table 9-2 shows software examples for each interaction type.

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