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Course Outline
Application Tuning Methodology
Database and Instance Architecture
- Server processes
- Memory structures (SGA, PGA)
- Parsing and shared cursors
- Data files, log files, and parameter files
Command Execution Plan Analysis
- Theoretical plans (EXPLAIN PLAN, SQLPlus AutoTrace XPlane)
- Actual execution plans (V$SQL_PLAN, XPlane, AWR)
Performance Monitoring and Bottleneck Identification
- Real-time instance status monitoring via system dictionary views
- Monitoring of historical data dictionaries
- Application tracking (SQLTrace, TkProf, TreSess)
Optimization Process
- Properties of cost-based optimization and rule-based approaches
- Determining optimization strategies
Controlling the Cost-Based Optimizer
- Session and instance parameters
- Optimization hints
- Query plan patterns
Statistics and Histograms
- The impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for statistical counting and estimation
- Statistics management: locking, copying, editing, automated collection, and change monitoring
- Dynamic sampling of data (temporary tables, complex predicates)
- Multi-column and expression-based statistics
- System-level statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extents (EXTENTS)
- Blocks
Data Storage Methods
- Physical aspects of table storage
- Temporary tables
- Index-organized tables
- External tables
- Table partitioning (range, list, hash, composite)
- Physical reorganization of tables
Materialized Views and Query Rewrite Mechanisms
Data Indexing Techniques
- Construction of B-Tree indexes
- Index characteristics
- Index types: unique, multi-column, function-based, reverse-key
- Index compression
- Index rebuilding and merging
- Virtual indexes
- Private and public indexes
- Bitmap indexes and index joins
Case Study: Full Data Scans
- The impact of placement at the table and block level on read performance
- Conventional vs. direct path data loading
- Predicate ordering
Case Study: Index-Based Data Access
- Index read methods (Unique Scan, Range Scan, Full Scan, Fast Full Scan, Min/Max Scan)
- Utilization of functional indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and Skip Scans
- Handling NULL values and indexes
- Index-Organized Tables (IOT)
- Impact of DML operations on indexes
Case Study: Sorting Operations
- In-memory sorting
- Index sorting
- Linguistic sorting
- The effect of data entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join methods: Merge, Hash, Nested Loop
- Joins in OLTP vs. OLAP systems
- Join order optimization
- Outer Joins
- Anti-joins
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- In-List Iteration (INLIST)
- View access
- Filter operations
- Count Stop Key
- Result Cache
Distributed Queries
- Query plan analysis for dblink usage
- Selecting leading tables
Parallel Processing
Requirements
- Proficiency in fundamental SQL and familiarity with the Oracle database environment (completion of Oracle 11g training, specifically the 'Native SQL for Programmers' workshop, is recommended).
- Practical experience working with Oracle databases.
28 Hours
Testimonials (2)
1. I liked the trainer's style of presenting and the patience to explain. 2. I liked that the trainer answered our side questions, even the ones that took the discussion a bit farther from the presentation, which showed flexibility. 3. I liked that there was a practical lab, not just a theoretical part. 4. I liked that it was online.
Roxana - DB Global Technology
Course - Oracle 11g - Application Tuning - Workshop
Trainer expertise on SQL tuning
