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Oracle uses a combination of the available methods It uses locks along with what is called the multiversion concurrency control system (a variation of the time-stamping method) to manage concurrency Oracle locks prevent destructive interaction between transactions that are trying to access the same resource The resource could be an application table or row, or it could be a shared system data structure in memory It could also be a data dictionary table or row Locks ensure data consistency while allowing data concurrency by letting multiple users simultaneously access the database Oracle does its locking implicitly; you don t have to worry about which table to lock or how to lock it, as Oracle will automatically place locks on your transaction s behalf when necessary By default, Oracle uses row-level locking, which involves the least restrictive amount of locking, thus guaranteeing the highest amount of concurrency.

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By default, Oracle stores the locked row information in the data blocks Also, Oracle never uses lock escalation that is, it doesn t go from a lowerlevel granularity like row-level locking to a higher level of granularity like table-level locking Oracle s multiversion concurrency control system is a variation of the time-stamp approach to concurrency control; it maintains older versions of table data to ensure that any transaction can read the original data even after it has been changed by other transactions Unlike locking, no waits are involved here; transactions use different versions of the same table instead of waiting for other transactions to complete When transactions want to update a row, Oracle first writes the original before-image to an undo record in the undo tablespace Queries then have a consistent view of the data, which provides read consistency they only see data from a single point in time.

The relationship between event sources and event handlers may be one-to-one, one-to-many, many-to-one, or many-to-many. In all cases, it is important that event notifications reach the intended subscribers. The one-to-one relationship is the simplest arrangement, so I ll start my discussion with that one.

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Using the same mechanism, Oracle is also capable of providing transaction-level read consistency, meaning that all the separate statements in a transaction see data from a single point in time The multiversion concurrency control system used by Oracle enables you to get by with the less-stringent read-committed mode of isolation instead of having to use the slower but safer serializable isolation level Here are some important features of Oracle locking: Oracle implements locks by setting a bit in the data item being locked The locking information is stored in the data block where the row lives Locks are held for the entire length of a transaction and are released when a COMMIT or a ROLLBACK statement is issued Oracle doesn t use lock escalation Oracle doesn t need to escalate locks, as it stores the locking information in the individual data blocks.

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Lock escalation for example, an escalation from the row level to the table level reduces concurrency Oracle does use lock conversion, which involves changing the restrictiveness of a lock while keeping the granularity of the lock the same For example, a row share table lock is converted into a more restrictive row exclusive table lock when a SELECT FOR UPDATE statement starts updating the previously locked rows in the table I explain locking granularity and Oracle locking types in more detail in the following sections In the next few sections, you ll learn more about the locking methods and lock types used by Oracle s concurrency control mechanism..

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The notifications sent in a one-to-one relationship are called unicast notifications. The signal diagram in Figure 8-20 shows a unicast notification wired from A to B.

This represents a very predicable but suboptimal use of memory as the workload increases or decreases over time. Automatic PGA memory management was designed exactly to allow the small community of users to use as much RAM as possible when it was available and back off on this allocation over time as the load increased, and increase the amount of RAM allocated for individual operations over time as the load decreased.

The V$SESSION_WAIT_CLASS view shows the total time spent in each type of wait class by an individual session. Here s an example: SQL> 2 3 4* SELECT wait_class, time_waited FROM v$session_wait_class WHERE sid = 1053 ORDER BY time_waited DESC;

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