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Figure 2-1. This graph compares runtimes with and without bind variables for simultaneous sessions. I did the comparison for two, three, four, and five simultaneous sessions each. From the graph in Figure 2-1, we can conclude that as the number of sessions increases, the performance of the approach that doesn t use bind variables deteriorates rapidly and at a much faster rate as compared to the approach that uses bind variables. This is mainly because Oracle is unable to reuse the work it did in generating a query s execution plan for different input values for the same query when we don t use bind variables. Thus, when you write an application on Oracle, your goal typically is to choose an approach that consumes the minimum amount of latches. Using bind variables is one of the most fundamental techniques that can help you achieve this goal in most cases.
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CHAPTER 2 ORACLE FUNDAMENTALS
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Note You can set CURSOR_SHARING to SIMILAR or FORCE to force all queries in your database to use
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bind variables. Generally, this technique is useful in cases where a third-party application you have isn t using bind variables and you don t have access to the code to change it. Note that setting CURSOR_SHARING to SIMILAR or FORCE has its own drawbacks; you should use it only as a temporary solution. The best and cleanest approach at the end of the day is to use bind variables in the first place. For more details on this topic, see the section Cursor Sharing for Applications of 7 in Oracle Database Performance Tuning Guide and Reference (10g Release 1).
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Unfortunately, the trigger for many performance investigations is a complaint from its users that the application is running too slowly. In most cases, the root cause is poorly written SQL code or poorly written database access code (e.g., absence of bind variables). In the previous examples, this caused unnecessary parsing and unnecessary latching, resulting in poor performance and poor scalability. The following sections cover other types of work that the database performs and some techniques for minimizing such work.
Logical and Physical I/O
When Oracle executes a query, it needs to perform I/O, either to its shared pool to retrieve cached data or to the disk. This section discusses the types of I/O Oracle performs and how you should incorporate these in your application development strategy. Oracle stores frequently used data in a memory cache called the database buffer cache. A logical I/O (LIO for short) occurs whenever the database buffer cache is accessed to satisfy a request from the Oracle kernel. If the kernel does not find the data in the cache, it asks the operating system to get the data from the disk. A physical I/O (PIO for short) occurs whenever the Oracle kernel asks the operating system to fulfill a request, since it cannot fulfill the request from the database buffer cache. Please note that not all PIOs translate to a disk read, as many of them can be satisfied from the operating system s internal buffer cache, but from Oracle s point of view they are all disk reads or PIOs. Although it may seem counterintuitive, in general, your goal should be to focus on reducing LIOs rather than PIOs, for the following reasons: Typically, LIOs require use of latches and/or serialization devices, which can have a seriously negative impact on the scalability of the system. If you reduce LIOs, PIOs take care of themselves naturally because most PIOs are preceded by LIO calls in the first place. PIOs may not be as costly as they seem, since many times they can be satisfied by operating system s internal data buffer cache.
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