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Duration 28 hours
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
Execution Plan Analysis
- Hypothetical plans (EXPLAIN PLAN, SQL*Plus AutoTrace, XPlan)
- Actual execution plans (V$SQL_PLAN, XPlan, AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring current instance status via system dictionary views
- Analysis of historical data dictionaries
- Application tracing (SQL Trace, TKPROF, TreSess)
The Optimization Process
- Cost optimization properties and regulations
- Determining optimization strategies
Controlling the Cost-Based Optimizer
- Session and instance parameters
- Optimizer hints
- Query plan patterns
Statistics and Histograms
- The impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for counting and estimating statistics
- Statistics management: locking, copying, editing, automated collection, and change monitoring
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics and expression-based statistics
- System statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extents
- Blocks
Data Storage Methods
- Physical aspects of tables
- 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 Methods
- Building B-Tree indexes
- Index properties
- Index types: unique, multi-column, functional, reverse key
- Compressed indexes
- Index reconstruction and coalescing
- Virtual indexes
- Private and public indexes
- Bitmap indexes and bitmap joins
Case Study: Full Table Scans
- The impact of table level and block performance on full scans
- Conventional vs. direct path data loading
- The importance of predicate ordering
Case Study: Index-Based Data Access
- Index read methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Utilizing functional indexes
- Index selectivity and the Clustering Factor
- Multi-column indexes and SKIP SCAN
- Handling NULL values and indexes
- Index-Organized Tables (IOT)
- The impact of indexes on DML operations
Case Study: Sorting Operations
- In-memory sorting
- Sort order and index usage
- Linguistic sorting
- The effect of entropy and Clustering Factor on sorting
Case Study: Joins and Subqueries
- Join types: MERGE, HASH, NESTED LOOP
- Joins in OLTP vs. OLAP systems
- Join order optimization
- Outer Joins
- Anti-Joins
- Semi-Joins (incomplete joins)
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- INLIST iteration
- View access
- Filter operations
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans involving DB Links
- Selecting leading tables
Parallel Processing
Requirements
- Proficiency in basic SQL and familiarity with the Oracle database environment (completion of the 'Native SQL for Programmers' workshop, preferably on Oracle 11g, is recommended).
- Hands-on practical experience working with Oracle.
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
