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Once you identify wait events due to contention in the system, you need to remove the bottleneck. Of course, this is easier said than done in the short run. You may be able to fix some contention problems right away, whereas you may need more time with others. Problems such as high db file scattered read events, which are due to full table scans, may indicate that the I/O workload of the system needs to be reduced. However, if the reduction in I/O requires creating new indexes and rewriting SQL statements, obviously you can t fix the problem right away. You can t add disks and rearrange objects to reduce hot spots right away either. Similarly, most latch contention requires changes at the application level. Just make sure you don t perform a whole bunch of changes at once you ll never be able to find out what fixed the problem (or in some cases, what made it worse). The trick, as usual, is to go after the problems you can fix in the short run. Problems that you can fix by changing the memory allocation to the shared pool or the buffer cache you can easily handle almost immediately by dynamically adjusting the cache values. You can also take care of any changes that concern the redo logs right away. If you notice one or two users causing a CPU bottleneck, it may be a smart idea to kill those sessions so the database as a whole will perform better. As you know, prevention is much better than a cure, so consider using the Oracle Database Resource Manager tool ( 12 shows you in detail how to use the Database Resource Manager) to create resource groups and prevent a single user or group from monopolizing the CPU usage.

Now I d like to look at the same situation as presented in the previous section, but this time using a program that uses significantly less latches during its processing. We ll take that Java program and code it using bind variables. To accomplish this, we ll change the Statement into a PreparedStatement, parse a single INSERT statement, and then bind and execute that PreparedStatement repeatedly in the loop:

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When you commit work in the database, you are assured that either all of your changes are saved or none of them is saved Furthermore, you are assured that the various rules and checks that protect data integrity are implemented In the previous chapter, we discussed transactions in terms of concurrency control and how, as a result of Oracle s multi-versioning read-consistent model, Oracle transactions can provide consistent data every time, under highly concurrent data access conditions Transactions in Oracle exhibit all of the required ACID characteristics ACID is an acronym for Atomicity: Either all of a transaction happens or none of it happens Consistency: A transaction takes the database from one consistent state to the next Isolation: The effects of a transaction may not be visible to other transactions until the transaction has committed Durability: Once the transaction is committed, it is permanent.

If intense latch contention is slowing your database down, you probably should be setting the CURSOR_SHARING initialization parameter s value to FORCE or SIMILAR to ameliorate the situation. Most other changes, though, may require more time-consuming solutions. Some changes may even require major changes in the code or the addition or modification of important indexes. However, even if the problem isn t fixed immediately, you have learned your craft, and you re on the right path to improving instance performance. Although I ve discussed various methods and techniques that use SQL scripts to analyze instance performance, try to make the OEM Database Control (or Grid Control) the center of your database performance monitoring, and use Oracle s powerful tools, such as the ADDM, to save time. The AWR and ASH reports are also highly useful when searching for root causes of performance problems.

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