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Duration 28 hours
Course Outline
Methodology for Application Tuning
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, 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
- Reviewing historical data from dictionaries
- Application tracking (SQL Trace, TkProf, TReSess)
The Optimization Process
- Properties of cost optimization and regulation
- 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
- Managing statistics: locking, copying, editing, automating collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics based on expressions
- 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 the Query Rewrite Mechanism
Data Indexing Techniques
- Constructing B-TREE indexes
- Index properties
- Index types: unique, multi-column, function-based, reverse key
- Index compression
- Index reconstruction and coalescing
- Virtual indexes
- Private and public indexes
- Bitmap indexes and bitmap join indexes
Case Study: Full Data Scans
- The impact of table and block placement on read performance
- Data loading via conventional and direct paths
- 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 DML operations on indexes
Case Study: Sorting
- In-memory sorting
- Index sorting
- Linguistic sorting
- The effect of entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join types: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Switching order in joins
- 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
- Analyzing query plans involving database links
- Selecting the leading table
Parallel Processing
Requirements
- Proficiency in fundamental SQL concepts and a solid understanding of the Oracle database environment (completion of the "Native SQL for Programmers - Workshops" course, preferably with Oracle 11g, is recommended)
- Hands-on practical 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
