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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
Analyzing Command Execution Plans
- Hypothetical plans (EXPLAIN PLAN, SQLPlus AutoTrace, XPlan)
- Actual execution plans (V$SQL_PLAN, XPlan, AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring the current instance status via system dictionary views
- Utilizing historical data from dictionaries
- Application tracking using SQLTrace, TKPROF, and TreSess
Optimization Processes
- Cost-based optimization properties and rules
- Determining optimal 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: blocking, copying, editing, automating collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column and expression-based statistics
- System-level 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 Techniques
- Building B-Tree indexes
- Index characteristics and properties
- Types of indexes: unique, multi-column, function-based, and inverted
- Index compression
- Rebuilding and merging indexes
- Virtual indexes
- Private and public synonyms for indexes
- Bitmap indexes and join operations
Case Study: Full Table Scans
- Impact of table level and block performance on read operations
- Conventional versus direct path data loading
- Predicate ordering
Case Study: Index-Based Data Access
- Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Leveraging functional indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- Handling NULL values in indexes
- Index-Organized Tables (IOT)
- Impact of indexes on DML operations
Case Study: Sorting
- In-memory sorting
- Sorting by index
- Linguistic sorting
- Effect of entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join types: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Order of switching/execution
- Outer Joins
- Anti-joins
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- INLIST
- VIEW
- FILTER
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans involving DB Links
- Selecting the leading table
Parallel Processing
Requirements
- Proficiency in basic SQL and a solid understanding of the Oracle database environment (completion of 'Native SQL for Programmers - Workshops' for Oracle 11g is preferred)
- Practical hands-on experience 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
