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Database hit ratios are the most commonly used measures of performance. These include the buffer cache hit ratio, the library cache and dictionary cache hit ratios, the latch hit ratio, and the disk sort ratios. These hit ratios don t indicate how well your system is performing. They re broad indicators of proper SGA allocation, and they may be high even when the system as a whole is performing poorly. The thing to remember is that the hit ratios only measure such things as how physical reads compare with logical reads, and how much of the time a parsed version of a statement is found in memory. As to whether the statements themselves are efficient or not, the hit ratios can t tell you anything. When your system is slow due to bottlenecks, the hit ratios are of little help, and you should turn to a careful study of wait statistics instead.

Even if you have a 99.99 percent buffer cache hit ratio, you may still have major inefficiencies in your application. What if you have an extremely high number of unnecessary logical reads This makes your buffer cache hit ratio look good, as that hit ratio is defined as physical reads over the sum of logical reads. Although you may think your application should run faster because you re doing most of your reads from memory instead of disk, this may well not happen. The reason is that even if you re doing logical reads, you re still burning up the CPU units to do the unnecessary logical reads. In essence, by focusing zealously on the buffer cache hit ratio to relieve the I/O subsystem, you could be an unwitting party to a CPU usage problem. Please read Cary Millsap s interesting article, Why You Should Focus on LIOs Instead of PIOs (http://www.hotsos.com/e-library/abstract.php id=7), which explains why a high logical I/O level could be a major problem.

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.

When faced with a slow-performing database or a demand for shorter response times, Oracle DBAs have traditionally looked to increase their database hit ratios and tune the database by adjusting

a host of initialization parameters (such as SGA allocations). More recently, there s been awareness that the key area to focus on is clearing up database bottlenecks that contribute to a higher response time. The total response time for a query is the time Oracle takes to execute it, plus the time the process spends waiting for resources such as latches, data buffers, and so on. For a database instance to perform well, ideally your application should spend little time waiting for access to critical resources. Let s now turn to examining the critical wait events in your database, which can be real showstoppers on a busy day in a production instance.

When your users complain that the database is crawling and they can t get their queries returned fast enough, there s no use in your protesting that your database is showing high hit ratios for the shared pool and the buffer cache (and the large pool and redo log buffer as well). If the users are waiting for long periods of time to complete their tasks, then the response time will be slow, and you can t say that the database is performing well, the high hit ratios notwithstanding.

Context A process P1 sends a command to a process P2. While P2 is busy executing the command, P1 needs to obtain execution progress information from P2. At any time during command execution, P1 may need to interrupt the transaction. Forces

Note For an interesting review of the Oracle wait analysis (the wait interface), please read one of the early papers in this area, titled Yet Another Performance Profiling Method (or YAPP-Method), by Anjo Kolk, Shari Yamaguchi, and Jim Viscusi. It s available at the OraPerf web site at http://www.oraperf.com (a free registration is required).