Oracle Database 10g: Performance Tuning
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What you will learn Get the most out of your 10g Database by learning performance tuning methods that maximize the utility of the database. Students learn how to benefit from Oracle Database 10g automatic tuning features, as well as practicing the manual tuning methods using the statspack tool. After clearly defining the various methodologies one can use to tune an Oracle Database, the course covers the various tunable components of an Oracle Database. Throughout the course, students experience hands-on the tuning of an Oracle Database by practicing through a series of workshops. This course counts towards the Hands-on course requirement for the Oracle Database 10g Administrator certification. |
| Audience Database Administrators Support Engineer Technical Consultant |
| Prerequisites Knowledge of Database Administration Oracle Database 10g: New Features for Administrators Release 2 Oracle Database 10g: Administration Workshop I Oracle Database 10g: Administration Workshop II |
| Course Objectives Use the Oracle Database tuning methodology appropriate to the available tool Utilize database advisors to proactively tune an Oracle database Use the tools based on the Automatic Workload Repository to tune the database Use Statspack reports to tune the database Diagnose and tune common database performance problems Use Enterprise Manager performance-related pages to monitor an Oracle database |
| Course Topics Performance Tuning Overview Write appropriate tuning goals Apply the tuning methodology Balance performance and safety trade-offs Identify common tuning problems Log a performance Service Request with Oracle Support Statistics and Wait Events Identify dynamic performance views useful in tuning Identify key tuning components of the alert log file Identify key tuning components of user trace files Use dynamic performance views to view statistics and wait events Metrics, Alerts, and Baselines View metrics using the metrics history views Create metric thresholds View alerts Create metric baselines Enable adaptive thresholds Using Statspack Install Statspack Create Statspack snapshots Generate Statspack reports Identify the major sections of the Statspack report Using AWR Create and manage AWR snapshots Generate AWR reports Create snapshot sets and compare periods Generate ADDM reports Generate ASH reports Reactive Tuning Use Enterprise Manager pages to identify symptoms Eliminate operating system issues Tuning the Shared Pool Diagnose shared pool problems Size the shared pool Size the reserved area Keep objects in the shared pool Tuning the Buffer Cache Describe the buffer cache architecture Size the buffer cache Resolve common performance issues related to the buffer cache Use common diagnostic indicators to suggest a possible solution Automatic Shared Memory Enable Automatic Shared Memory Set auto-tuned memory parameters Set the manually tuned SGA parameters Use the SGA advisor to set SGA target Checkpoint and Redo Tuning Diagnose checkpoint and redo issues Implement Fast Start MTTR target Monitor performance impact of Fast Start MTTR target Implement multiple database writers Tune the redo chain Size the redo log file Size the redo log buffer Tuning I/O Diagnose database I/O issues Describe the Stripe and Mirror Everything (SAME) concept Explain the benefits of asynchronous I/O Choose appropriate I/O solutions Tuning PGA and Temporary Space Diagnose PGA memory issues Size the PGA memory Diagnose temporary space issues Specify temporary tablespace parameters for efficient operation Tuning Block Space Usage Tune segment space management Convert from dictionary managed tablespaces Convert to automatic segment space management Tune block space management Diagnose and correct row chaining Diagnose table fragmentation Compare characteristics of bigfile and smallfile tablespaces Initial Configuration List best practices identified throughout the course |
| Suggested Next Courses Oracle Enterprise Manager 10g Grid Control Oracle Database 10g: SQL Tuning Workshop Oracle Database 10g: Real Application Clusters |