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Course Outline
Application Tuning Methodology
Database and Instance Architecture
- Server processes
- Memory structure (SGA, PGA)
- Parsing and shared cursors
- Data files, log files, and parameter files
Execution Plan Analysis
- Theoretical plans (EXPLAIN PLAN, SQLPlus AutoTrac XPlane)
- Actual execution plans (V$SQL_PLAN, XPlane, AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring current instance status via system dictionary views
- Reviewing historical data from dictionaries
- Application tracing (SQLTrace, TkProf, TreSess)
Optimization Process
- Properties of cost-based optimization and managed optimization
- Determining optimization targets
Controlling the Cost-Based Optimizer
- Session and instance parameters
- Optimization hints
- Query plan patterns
Statistics and Histograms
- 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 statistics and expression-based statistics
- System statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extensions (EXTENTS)
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary tables
- Index-organized tables
- External tables
- Partitioned tables (range, list, hash, hybrid)
- Physical table reorganization
Materialized Views and QUERY REWRITE Mechanism
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Index types: unique, multi-column, function-based, reverse
- Index compression
- Index rebuilding and coalescing
- Virtual indexes
- Private and public indexes
- Bitmap indexes and bitmap joins
Case Study: Full Data Scans
- Impact of table-level and block-level placement 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)
- Utilizing functional indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- Handling NULLs in indexes
- Index-Organized Tables (IOT)
- Impact of DML operations on indexes
Case Study: Sorting
- Memory-based sorting
- Index sorting
- Linguistic sorting
- Effect of entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join algorithms: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Order of join operations
- 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 DB Links
- Selecting the leading table
Parallel Processing
Requirements
- Proficiency in basic SQL and a solid understanding of the Oracle database environment (completion of the 'Native SQL for Programmers' workshop on Oracle 11g is recommended)
- Practical hands-on experience working with Oracle
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
