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Duration 28 hours (4 days)
Course Outline
Methodology for Application Tuning
Database and Instance Architecture
- Server processes
- Memory structures (SGA, PGA)
- Statement parsing and shared cursors
- Data files, log files, and parameter files
Analysis of Command Execution Plans
- Hypothetical plans (using EXPLAIN PLAN, SQLPlus AutoTrace XPlan)
- Actual execution plans (utilizing V$SQL_PLAN, XPlan, and AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring the current instance status via system dictionary views
- Analyzing historical data dictionaries
- Application tracking (SQL Trace, TkProf, TrSession)
The Optimization Process
- Properties of cost-based and rule-based optimization
- Criteria for determining optimization strategies
Controlling the Cost-Based Optimizer via:
- 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 statistical counting and estimation
- Statistics management: blocking, copying, editing, automated collection, and change monitoring
- Dynamic sampling of data (temporary tables, complex predicates)
- Multi-column and expression-based statistics
- System-wide statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extent management (EXTENTS)
- Data blocks
Data Storage Techniques
- Physical aspects of table design
- Temporary tables
- Index-organized tables
- External tables
- Table partitioning (range, list, hash, hybrid)
- Physical table reorganization
Materialized Views and Query Rewrite Mechanism
Data Indexing Methods
- Constructing B-TREE indexes
- Index properties
- Types of indexes: unique, multi-column, function-based, reverse-key
- Index compression
- Rebuilding and coalescing indexes
- Virtual indexes
- Private and public synonyms for indexes
- Bitmap indexes and bitmap joins
Case Study: Full Table Scans
- The impact of table and block-level placement on read performance
- Conventional vs. direct path data loading
- Predicate ordering
Case Study: Index-Accessed Data
- Index read methods (Unique Scan, Range Scan, Full Scan, Fast Full Scan, Min/Max Scan)
- Utilizing function-based indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and Skip Scan
- Handling NULLs and indexes
- Index-Organized Tables (IOT)
- The impact of indexes on DML operations
Case Study: Sorting Operations
- Memory-based sorting
- Index-based sorting
- Linguistic sorting
- The effect of data entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join methods: MERGE, HASH, NESTED LOOP
- Join strategies in OLTP vs. OLAP systems
- Switching order and 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
- INLIST ITERATION
- VIEW processing
- FILTER operations
- Count Stopkey
- Result Cache
Distributed Queries
- Reading query plans for DB Link usage
- 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' or equivalent experience with Oracle 11g is preferred)
- Practical, hands-on 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
