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You can t cache queries that use the following types of objects, even though you may be able to cache them in a server-side result cache: Views Remote objects Complex types in the select list Flashback queries Queries that include PL/SQL functions Queries that reference VPD policies on the tables
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A Simple Approach to Tuning SQL Statements
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Whether you use manual methods such as EXPLAIN PLAN, SQL Trace, and TKPROF, or more sophisticated methods such as the SQL Tuning Advisor, you need to understand that optimizing SQL statements can improve performance significantly. In the following sections, I summarize a simple methodology you can follow to tune your SQL statements.
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Identify Problem Statements
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This chapter has shown you many ways you can identify your slow-running or most resource-intensive SQL statements. For instance, you can use dynamic performance views such as V$SQL to find out your worst SQL statements, as shown earlier. Statements with high buffer gets are the CPU-intensive statements and those with high disk reads are the high I/O statements. Alternatively, you can rely on the AWR report and the ADDM analysis to figure out which of your SQL statements need to be written more efficiently. Obviously, you want to start (and maybe end) with tuning these problem statements.
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Locate the Source of the Inefficiency
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The next step is to locate the inefficiency in the SQL statements. To do this, you need to collect information on how the optimizer is executing the statement. That is, you must first walk through the EXPLAIN PLAN for the statement. This step helps you find out if there are any obvious problems, such as full table scans due to missing indexes. In addition to analyzing the EXPLAIN PLAN output or using the V$SQL_PLAN view, collect the performance information, if you can, by using the SQL Trace and TKPROF utilities. Review each EXPLAIN PLAN carefully to see that the access and join methods and the join order are optimal. Specifically, check the plans with the following questions in mind: Are there any inefficient full table scans Are there any unselective range scans Are the indexes appropriate for your queries Are the indexes selective enough If there are indexes, are all of them being used Are there any later filter operations Does the driving table in the join have the best filter Are you using the right join method and the right join order Do your SQL statements follow basic guidelines for writing good SQL statements (see the section Writing Efficient SQL in this chapter) In most cases, a structured analysis of the query will reveal the source of the inefficiency.
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Tune the Statement
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Use the Database Control s SQL Access Advisor to get index and materialized view recommendations. Review the access path for the tables in the statement and the join order. Consider the use of hints to force the optimizer to use a better execution plan. You can also use the SQL Tuning Advisor to get recommendations for more efficient SQL statements.
Compare Performance
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.
Performance Tuning: Tuning the Instance
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. 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.
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