Oracle Database 12c: Performance Management and Tuning
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Mon 21 Nov 09:00 - Fri 25 Nov 17:00
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Oracle Database 12c: Performance Management and Tuning
WHAT YOU WILL LEARN
In the Oracle Database 12c: Performance
Management and Tuning course, learn about the performance analysis and tuning
tasks expected of a DBA: proactive management through built-in performance
analysis features and tools, diagnosis and tuning of the Oracle Database
instance components, and diagnosis and tuning of SQL-related performance
issues.
Learn To:
- Use the Oracle tuning methodology.
- Use Oracle-supplied tools for monitoring and diagnosing SQL and instance performance issues.
- Use database advisors to proactively correct performance problems.
- Identify and tune problem SQL statements.
- Monitor instance performance by using Enterprise Manager.
- Tune instance components.
AUDIENCE
- Database Administrators
- Data Warehouse Administrator
METHODOLOGY
This program will be conducted with
interactive lectures, PowerPoint presentations, discussions and practical
exercises
COURSE OBJECTIVES
- Use the Oracle Database tuning methodology appropriate to the available tools
- Utilize database advisors to proactively tune an Oracle Database Instance
- Use the tools based on the Automatic Workload Repository to tune the database
- Diagnose and tune common SQL related performance problems
- Diagnose and tune common Instance related performance problems
- Use Enterprise Manager performance-related pages to monitor an Oracle Database
BENEFITS
The DBA will analyze the SQL performance with available tools. The DBA will be introduced to various methods of identifying the SQL statements that require tuning and the diagnostic tools used to find ways to improve performance. This will include the use of statistics, profiles to influence the optimizer, and using the SQL Advisors.
Modules
- Course Objectives
- Course Organization
- Course Agenda
- Topics Not Included in the Course
- Who Tunes?
- What Does the DBA Tune?
- How to Tune
- Tuning Methodology
- Performance Tuning Diagnostics
- Performance Tuning Tools
- Tuning Objectives
- Top Timed Events
- DB Time
- CPU and Wait Time Tuning Dimensions
- Time Model
- Dynamic Performance Views
- Repository
- Automatic Workload Repository Overview
- Automatic Workload Repository Data
- Enterprise Manager Cloud Control and AWR
- Snapshots
- Reports
- Compare Periods
- Defining the Problem
- Limiting the Scope
- Setting the Priority
- Top SQL Reports
- Common Tuning Problems
- Tuning During the Life Cycle
- ADDM Tuning Session
- Performance Versus Business Requirements
- Metrics and Alerts Overview
- Limitation of Base Statistics
- Benefits of Metrics
- Viewing Metric History Information
- Viewing Histograms
- Server-Generated Alerts
- Setting Thresholds
- Metrics and Alerts Views
- Comparative Performance Analysis with AWR Baselines
- Automatic Workload Repository Baselines
- Moving Window Baseline
- Baselines in Performance Page Settings
- Baseline Templates
- AWR Baseslines
- Creating AWR Baselines
- Managing Baselines with PL/SQL
- Automatic Maintenance Tasks
- ADDM Performance Monitoring
- Using Compare Periods ADDM
- Active Session History
- New or Enhanced Automatic Workload Repository Views
- Emergency Monitoring
- Real-time ADDM
- Monitoring
- Overview
- Use Cases
- Defining a Database Operation
- Scope of a Composite Database Operation
- Database Operation Concepts
- Identifying a Database Operation
- Enabling Monitoring of Database Operations
- Identifying, Starting, and Completing a Database Operation
- What is a Service?
- Service Attributes
- Service Types
- Creating Services
- Managing Services in a Single-Instance Environment
- Where are Services Used?
- Using Services with Client Applications
- Services and Pluggable Databases
- SQL Statement Processing Phases
- Role of the Oracle Optimizer
- Identifying Bad SQL
- Top SQL Reports
- SQL Monitoring
- What is an Execution Plan?
- Methods for Viewing Execution Plans
- Uses of Execution Plans
- Functions of the Query Optimizer
- Selectivity
- Cardinality and Cost
- Changing Optimizer Behavior
- Optimizer Statistics
- Extended Statistics
- Controlling the Behavior of the Optimizer with Parameters
- Enabling Query Optimizer Features
- Operations
- Reducing the Cost
- Index Maintenance
- SQL Access Advisor
- Table Maintenance for Performance
- Table Reorganization Methods
- Space Management
- Extent Management
- Data Storage
- Real Application Testing: Overview
- Real Application Testing: Use Cases
- SQL Performance Analyzer: Process
- Capturing the SQL Workload
- Creating a SQL Performance Analyzer Task
- SQL Performance Analyzer: Tasks
- Parameter Change
- SQL Performance Analyzer Task Page
- Maintaining SQL Performance
- Maintaining Optimizer Statistics
- Automated Maintenance Tasks
- Statistic Gathering Options
- Setting Statistic Preferences
- Restore Statistics
- Deferred Statistics Publishing
- Automatic SQL Tuning
- Using Database Replay
- The Big Picture
- System Architecture
- Capture Considerations
- Replay Considerations: Preparation
- Replay Considerations
- Replay Options
- Replay Analysis
- Shared Pool Architecture
- Shared Pool Operation
- The Library Cache
- Latch and Mutex
- Diagnostic Tools for Tuning the Shared Pool
- Avoiding Hard Parses
- Reducing the Cost of Soft Parses
- Sizing the Shared Pool
- Oracle Database Architecture: Buffer Cache
- Buffer Cache: Highlights
- Database Buffers
- Buffer Hash Table for Lookups
- Working Sets
- Buffer Cache Tuning Goals and Techniques
- Buffer Cache Performance Symptoms
- Buffer Cache Performance Solutions
- SQL Memory Usage
- Performance Impact
- Automatic PGA Memory
- SQL Memory Manager
- Configuring Automatic PGA Memory
- Setting PGA_AGGREGATE_TARGET Initially
- Limiting the size of the Program Global Area (PGA)
- SQL Memory Usage
- Oracle Database Architecture
- Dynamic SGA
- Granule
- Memory Advisories
- Manually Adding Granules to Components
- Increasing the Size of an SGA Component
- Automatic Shared Memory Management: Overview
- SGA Sizing Parameters: Overview
- Commonly Observed Wait Events
- Additional Statistics
- Top 10 Mistakes Found in Customer Systems
- Symptoms
Genesis Douglas Row
Mr. Genesis Douglas Row has been working in the IT industry since 1996 and has contributed more than 17 years to the industry. Along the years, he has picked up skills in sales, marketing, business management, presales and product management that has made him an all-rounded skilled and experienced IT personnel in the industry.He has a strong technical background in Oracle Database Management, Solaris System Administration and Web Publishing. He has also proven to be a very talented and passionate trainer in delivering easy-to-understand, straight-to-the-point training sessions. He utilizes effective training techniques for maximum knowledge transfer, information retention and customer satisfaction. Read More
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