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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
Command 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
- Analyzing historical dictionaries
- Application tracking (SQLTrace, TkProf, TreSess)
The Optimization Process
- Cost-based optimization properties and regulations
- Determining optimization strategies
Controlling the Cost-Based Optimizer via:
- Session and instance parameters
- 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, automation, and change monitoring
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column and expression-based statistics
- System statistics
Logical and Physical Database Structure
- Table spaces
- Segments
- Extentions (EXTENTS)
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary tables
- Indexed tables
- External tables
- Table partitioning (range, list, hash, mixed)
- Physical reorganization of tables
Materialized Views and QUERY REWRITE Mechanisms
Data Indexing Methods
- Constructing B-TREE indexes
- Index characteristics
- Index types: unique, multi-column, function-based, and descending
- Index compression
- Index rebuilding and merging
- Virtual indexes
- Private vs. public synonyms
- Bitmap indexes and bitmaps
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-Based Data Access
- 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 in indexes
- Index-Organized Tables (IOT)
- Impact of DML operations on indexes
Case Study: Sorting
- In-memory 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
- Join order switching
- Outer joins
- Anti-joins
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- INLIST ITERATOR
- VIEW
- FILTER
- Count Stop Key
- Result Cache
Distributed Queries
- Query plans involving DBLinks
- Selecting leading hints
Parallel Processing
Requirements
- Proficient command of SQL fundamentals and a solid understanding of the Oracle database environment (completion of the 'Native SQL for Programmers' workshop with Oracle 11g is recommended).
- Hands-on practical experience working with Oracle databases.
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
