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If parse time CPU is the major part of total CPU usage, you need to reduce this by performing the following steps: 1. Use bind variables and remove hard-coded literal values from code, as explained in the Optimizing the Library Cache section earlier in this chapter. 2. Make sure you aren t allocating too much memory for the shared pool. Remember that even if you have an exact copy of a new SQL statement in your library cache, Oracle has to find it by scanning all the statements in the cache. If you have a zillion relatively useless statements sitting in the cache, all they re doing is slowing down the instance by increasing the parse time. 3. Make sure you don t have latch contention on the library cache, which could result in increased parse time CPU usage. 4. If your TKPROF output or one of the queries shown previously indicates that total parse time CPU is as high as 90 percent or more, check to make sure all the tables in the queries have been analyzed recently. If you don t have statistics on some of the tables, the parsing process generates the statistics, but the parse CPU usage time goes up dramatically.

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Recursive CPU usage is mostly for data dictionary lookups and for executing PL/SQL programs. Thus, if your application uses a high number of packages and procedures, you ll see a significant amount of recursive CPU usage. In the following example, there s no need for alarm, because the percentage of recursive CPU usage is only about 5 percent of total CPU usage: SQL> SELECT name, value FROM V$SYSSTAT 2 WHERE name IN ('CPU used by this session', 3* 'recursive cpu usage'); NAME -------------------------recursive cpu usage CPU used by this session 2 rows selected. SQL> VALUE --------4286925 84219625

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

Assume P1 calls P2 to execute a command. During execution, it may be necessary for P1 to abort execution for any number of reasons, such as excessive time to complete, errors detected in other parts of the system, or unexpected partial results. An interaction is interruptible if the caller can interrupt it before the command has been completed. In theory, either the caller or the callee could interrupt command execution; however, you only consider an interaction to be an interruptible interaction pattern if the caller has control over command termination. If the callee terminates the command prematurely, you consider this to be an ordinary error condition, because no special interactions between caller and callee are necessary in this case. Figure 9-15 shows the basic steps in an interruptible interaction.

If the recursive CPU usage percentage is a large proportion of total CPU usage, you may want to make sure the shared pool memory allocation is adequate. However, a PL/SQL-based application will always have a significant amount of recursive CPU usage.

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Note A high number of recursive SQL statements may also indicate that Oracle is busy with space management activities, such as allocating extents. This has a detrimental effect on performance. You can avoid this problem by increasing the extent sizes for your database objects. This is another good reason to choose locally managed tablespaces, which cut down on the number of recursive SQL statements.

In order for an interaction to be interruptible, the caller must be asynchronous, because the caller must have the ability to send the abort command during the execution of a previously issued command. The callee is not required to be asynchronous, but must have the ability to execute the abort command using thread-safe operations, since the original command and the abort command will arrive on different threads. Both blind and transparent interactions can be made interruptible. The hallmark of an interruptible interaction is the presence of a dedicated channel to carry abort commands from the caller to the callee. While the concept of interruptible interactions is simple, aborting a command may require extensive processing to clean up intermediate results or other side effects of the partially completed command. This cleanup work is not considered part of the interruptible interaction pattern itself.

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