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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

If you wonder why, for example, System.Int16 and System.Boolean should be used instead of int16 and bool, respectively, I should remind you that our discussion concerns the conversion of the objects. When a managed object is passed to unmanaged code by reference, the marshaler creates a new variant and copies the contents of the object reference into this variant. The unmanaged code is free to tinker with the variant contents, and these changes are propagated back to the referenced object when the method call is completed. If the type of the variant has been

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materialize multiple versions of the data and is the mechanism by which Oracle provides read-consistent views of data (i.e., consistent results with respect to a point in time). A rather pleasant side effect of multi-versioning is that a reader of data will never be blocked by a writer of data. In other words, writes do not block reads. This is one of the fundamental differences between Oracle and other databases. A query that only reads information in Oracle will never be blocked, it will never deadlock with another session, and it will never get an answer that didn t exist in the database.

Note There is a short period of time during the processing of a distributed 2PC where Oracle will prevent

run NTP implementations. Also, clocks on some aging hardware keep such poor time that even NTP can t keep them in sync. NTP implementations can generally keep system clocks synchronized, but if a particular clock drifts beyond the panic threshold, NTP will not update the clock. Additionally, even where NTP is ubiquitous, systems can fail.

changed within the unmanaged code, the back propagation of the changes can result in a change of the object type, so you might find yourself with a different type of object after the call. The same story happens (in reverse order) when unmanaged code calls a managed method, passing a variant by reference: the type of the variant can be changed during the call. The variant can contain a pointer to its value rather than the value itself. (In this case, the variant has its type flag VT_BYREF set.) Such a reference variant, passed to the managed code by value, is marshaled to a managed object, and the marshaler automatically dereferences the variant contents and retrieves the actual value. Despite its reference type, the variant is nonetheless passed by value, so any changes made to the object in the managed code are not propagated back to the original variant. If a reference variant is passed to the managed code by reference, it is marshaled to an object reference, with the marshaler dereferencing the variant contents and copying the value into a newly constructed managed object. But in this case, the changes made in the managed code are propagated back to the unmanaged code only if they did not lead to a change in the variant type. If the changes did affect the variant type, the marshaler throws an InvalidCast exception.

read access to information. As this processing is somewhat rare and exceptional (the problem applies only to queries that start between the prepare and the commit phases and try to read the data before the commit arrives), I will not cover it in detail.

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