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You may want to rule out the network as the culprit during a poor performance period by checking whether it s overloaded and exhibiting excessive latency. You can use the operating system tool

We will use the procedure insert_item to demonstrate inserting a row using CallableStatement: 18 19 20 21 22 23 24 25 procedure insert_item( p_item in item ) is begin insert into item_table values( p_item ); end insert_item; end item_pkg; /

netstat to check your network performance, as I explained in 3. Excessive network round-trips necessitated by client messages could clog your network and increase the latency, thus indirectly affecting the CPU load on your system. In cases such as this, you must try and reduce the network round-trips by using array inserts and array fetches.

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One of the trickiest parts of the DBA s job is to judge the performance of the Oracle instance accurately. Trainers and the manuals advise you to perform diligent proactive tuning, but in reality most tuning efforts are reactive they re intensive attempts to fix problems that perceptibly slow down a database and cause user complaints to increase. You look at the same things whether you re doing proactive or reactive tuning, but proactive tuning gives you the luxury of making decisions in an unhurried and low-stress environment. Ideally, you should spend more than two-thirds of your total tuning time on proactive planning. As you do so, you ll find that you re reacting less and less over time to sudden emergencies. Oracle Database 11g uses the concept of DB time (discussed in detail in 17) to determine how well the instance is performing. You can look at some statistics to see how well the database is performing. These statistics fall into two groups: database hit ratios and database wait statistics. If you re consistently seeing numbers in the high 90s for the various hit ratios you saw earlier in this chapter, you re usually doing well, according to this approach. However, the big question is this: Do high hit ratios automatically imply a perfectly tuned and efficient database The surprising answer is no. To understand this confusing fact, you need to look at what hit ratios indicate. The following sections examine the two main groups of performance statistics.

Package body created. In the remainder of this chapter, we ll explore the capabilities of the standard Struct interface and the Oracle extension oracle.sql.STRUCT class.

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.

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