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Once you generate alternative SQL, it s time to go through the first three steps again. Use the EXPLAIN PLAN facility and performance statistics to compare the new statement with the older one. After you ensure that your new statements perform better, it s time to replace the inefficient SQL. Oracle Database 11g has a much wider array of automatic SQL tuning capabilities than ever before. Once you get familiar with the various automatic tuning tools, such as the SQL Tuning Advisor and the ADDM, you should be able to harness the database s capabilities to tune your recalcitrant SQL statements.

n the previous chapter, you learned how to write efficient SQL to maximize an application s performance The use of optimal SQL and efficient design of the layout of the database objects are parts of a planned or proactive tuning effort This chapter focuses on the efficient use of the resources Oracle works with: memory, CPU, and storage disks The chapter discusses how to monitor and optimize memory allocation for the Oracle instance In this context, you ll learn about the traditional database hit ratios, such as the buffer cache hit ratios However, focusing on the hit ratios isn t necessarily the smartest way to maintain efficient Oracle databases because you need to focus on the user s response time Investigating factors that are causing processes to spend excessive time waiting for resources is a better approach to performance tuning.

Example 6 A cook is cooking items in three pots on the stove. To determine which items are done, the cook checks the contents of each pot. The cook is essentially polling the three pots to monitor their status. The poll operation is represented by the cook s glance at each pot. The polling result is the image of each pot s contents, indicating whether the contents are ready or not. This polling operation is very quick and doesn t appreciably affect the overall system s performance in other words, the cooking time. Example 7 A software system displays weather conditions, showing temperature, humidity, and pressure. The system uses a thermometer, a hygrometer, and a barometer. Once a minute, the system polls the three devices, updating the display. After obtaining the latest values, the system is free to do other things. Polling works well in this situation because the weather variables are needed only occasionally, and the time required to obtain each measurement is very small.

This chapter provides you with a solid introduction to Oracle wait events and tells you how to interpret them and reduce the incidence of these wait events in your system A fairly common problem in many production systems is that of a database hang, when things seem to come to a standstill for some reason This chapter shows you what to do during such events The chapter explains the key dynamic performance tables that you need to be familiar with to understand instance performance issues Although you ve encountered the Automatic Database Diagnostic Monitor (ADDM) and Automatic Workload Repository (AWR) in earlier chapters, this chapter reviews their role in instance tuning You can also use the Active Session History (ASH) feature to understand recent session history Analyzing ASH information helps solve numerous performance issues in a running instance.

Although it s nice to be able to design a system proactively for high performance, more often than not, the DBA has to deal with reactive tuning when performance is unsatisfactory and a fix needs to be found right away The final part of this chapter deals with a simple methodology to follow when your system performance deteriorates and you need to fine-tune the Oracle instance I begin this chapter with a short introduction to instance tuning and then turn to cover in detail the tuning of crucial resources such as memory, disk, and CPU usage Later on in the chapter, I review the important Oracle wait events, which will help you get a handle on several kinds of database performance issues..