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DML locks are locks placed by Oracle to protect data in tables and indexes Whenever a DML statement seeks to modify data in a table, Oracle automatically places a row-level lock on the rows in the table that are being modified (This makes it impossible, for example, for a group of booking clerks to sell the last ticket to more than one customer) Row-level DML locks guarantee that readers of data don t wait for writers of data, and vice versa Writers will only have to wait when they want to update the same rows that are currently being modified by other transactions Any Oracle lock mode will permit queries on the table A query will never block an update, delete, or insert, and vice versa.

An exclusive lock only permits queries on a table, and prevents users from performing any other activity on it, like updating or deleting data A row exclusive lock, on the other hand, allows concurrent access to a table for updating, deleting, and inserting data, but prevents any user from locking the entire table for exclusive use There are other lock modes as well, but for our purposes, it s enough to focus on these two basic Oracle lock modes Any query that a transaction issues won t interfere with any other transaction, because all they do is read data they don t modify it Queries include transactions using the SELECT statement, as well as transactions such as INSERT, UPDATE, and DELETE if they happen to use an implicit SELECT statement Queries never need locks, and they never need to wait for any other locks to be released.

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When using notifications to make calls between objects, there is a certain penalty incurred due to the indirect nature of the interactions. The overhead of making a single indirect call is generally minimal in a system, often accounting for a very small fraction of the system load. But the overhead may need to include other activities that add up quickly to big numbers. As stated earlier, there are two main categories of Fire methods: those dedicated to a single event type and those that handle arbitrary event types. The latter case has the potential to perform

The reporting/warehouse data, which might be based on the transactional data, would benefit from the larger blocksizes due in part to less block overhead (it takes less storage overall), and larger logical I/O sizes perhaps And since reporting/warehouse data does not have the same update contention issues, the fact that there are more rows per block is not a concern, but a benefit Additionally, the transactional users get their own buffer cache in effect; they do not have to worry about the reporting queries overrunning their cache But in general, the Default, Keep, and Recycle pools should be sufficient for fine-tuning the block buffer cache, and multiple blocksizes would be used primarily for transporting data from database to database and perhaps for a hybrid reporting/transactional system..

Any INSERT, DELETE, UPDATE, or SELECT FOR UPDATE statements will automatically issue an exclusive row-level lock on the rows affected by the transaction This exclusive row-level lock means that other transactions can t modify the affected rows until the original transaction commits or rolls back, thereby releasing the exclusive locks..

One of the first things you need to do when you re investigating slowdowns is to rule out networkrelated problems. Quite often, users complain of being unable to connect to the system, or being abruptly disconnected from the system. Check your round-trip ping times and the number of collisions. Your network administrator should check the Internet connections and routers. On the Oracle end, you can check the following dynamic views to find out if there s a slowdown due to a network problem. The V$SESSION_EVENT view shows the average amount of time Oracle waits between messages in the average wait column. The V$SESSION_WAIT view, as you ve seen, shows what a session is waiting for, and you can see if waits for network message transport are higher than normal. If the time for SQL round-trips is extremely long, it could reflect itself as a high amount of network-related wait time in the V$ views. Check to see if your ping time for network round-trips has gone up appreciably. You should discuss with your network administrator what you can do to decrease the waits for network traffic. You may explore the possibility of setting the parameter TCP,NODELAY=TRUE in your sqlnet.ora file. This results in TCP sending packets without waiting, thus increasing response time for real-time applications.

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