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s stated in the last chapter, one of the key challenges in developing multiuser, databasedriven applications is to maximize concurrent access but, at the same time, ensure that each user is able to read and modify the data in a consistent fashion. In this chapter, we re going to take a detailed look at how Oracle achieves multi-version read consistency, and what that means to you, the developer. I will also introduce a new term, write consistency, and use it to describe how Oracle works not only in a read environment with read consistency, but also in a mixed read and write environment.

The V$FILEMETRIC view shows file metrics for the most recent ten-minute time interval. The V$FILEMETRIC_HISTORY view shows you file metrics for the past one hour in ten-minute intervals.

product, and waits for it to drop to the bottom tray. While waiting for the product, the customer glances at his watch. After a second, he grows impatient and bangs on the side of the machine. Nothing happens, so he presses the return coins button to cancel the purchase. In this example, the person represents the caller; the vending machine is the callee. The asynchronous command is buy product. The command is blind because the person can t see the inside of the vending machine. The command is asynchronous, because the customer can do other things (such as look at his watch) while the command is being executed. The return coins command is the abort command to the machine.

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Several dynamic performance views provide general information about the database, such as the version of the database, the database name, the initialization parameters specified in the initialization file, and the default parameters. These views are useful for quickly finding out the value of an initialization parameter, for example, instead of having to look into the init.ora file or the SPFILE.

Concurrency controls are the collection of functions that the database provides to allow many people to access and modify data simultaneously. As noted in the previous chapter, the lock is one of the core mechanisms by which Oracle regulates concurrent access to shared database resources and prevents interference between concurrent database transactions. To briefly summarize, Oracle uses a variety of locks, including the following: TX locks: These locks are acquired for the duration of a data-modifying transaction. TM and DDL locks: These locks ensure that the structure of an object is not altered while you are modifying its contents (TM lock) or the object itself (DDL lock). Latches: These are internal locks that Oracle employs to mediate access to its shared data structures. In each case, there is minimal overhead associated with lock acquisition. TX transaction locks are extremely scalable in terms of both performance and cardinality. TM and DDL locks are applied in the least restrictive mode whenever possible. Latches and enqueues are both very lightweight and fast (enqueues are the slightly heavier of the two, though they re more feature-rich). Problems only arise from poorly designed applications that hold locks for longer than necessary and cause blocking in the database. If you design your code well, Oracle s locking mechanisms will allow for scaleable, highly concurrent applications. But Oracle s support for concurrency goes beyond efficient locking. It implements a multi-versioning architecture (introduced in 1) that provides controlled, yet highly concurrent access to data. Multi-versioning describes Oracle s ability to simultaneously

The V$FIXED_TABLE view comes in handy when you want to see what dynamic performance views are available in your database. This view is to dynamic performance views what the DICT view is for the static data dictionary views.

using a ping command. The person types in the IP address of the computer and waits for the ping response. When the command doesn t complete within a certain amount of time, the person gives up and closes the console window in which the ping command was running. Because the command was blind, the person had no idea why the command was taking so long. Some part of the networking software may have failed, or perhaps the pinged machined was off. How long a person waits will depend on how long the person can or is willing to wait. At any point during execution of the command, the person may decide to abort and do something else.

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