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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
Execution Plan Analysis
- 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 through dynamic performance views
- Application tracking using SQL Trace, TkProf, and TreSess
Optimization Process
- Understanding cost-based optimization properties and constraints
- Determining the scope and focus of optimization efforts
Controlling the Cost-Based Optimizer Through:
- Session and instance parameters
- Optimizer hints
- Query plan shaping 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 sampling of data (temporary tables, complex predicates)
- Multi-column statistics and expression-based statistics
- System-level statistics
Logical and Physical Database Structures
- Tablespaces
- Segments
- Extents
- Blocks
Data Storage Methods
- Physical characteristics of tables
- Temporary tables
- Index-organized tables
- External tables
- Table partitioning (range, list, hash, composite)
- Physical reorganization of tables
Materialized Views and Query Rewrite Mechanism
Data Indexing Techniques
- Building B-Tree indexes
- Index properties
- Index types: unique, multi-column, function-based, descending
- Compressed indexes
- Index rebuilding and merging
- Virtual indexes
- Private and public synonyms for indexes
- Bitmap indexes and bitmap conjunctions
Case Study: Full Table Scans
- Impact of table and block placement on read performance
- Conventional versus direct path data loading
- The significance of predicate ordering
Case Study: Index-Accessed Data
- Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Utilizing function-based indexes
- Index selectivity and Clustering Factor
- Multi-column indexes and SKIP SCAN operations
- Handling NULL values in indexes
- Index-Organized Tables (IOT)
- Performance impact of DML operations on indexes
Case Study: Sorting
- In-memory sorting
- Sorting with index assistance
- Linguistic sorting
- The influence of entropy and Clustering Factor on sorting performance
Case Study: Joins and Subqueries
- Join types: MERGE, HASH, and NESTED LOOP
- Join optimization in OLTP and OLAP systems
- Order of join execution
- 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 access
- FILTER operations
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans involving DBLinks
- Selecting the leading table
Parallel Processing
Requirements
- Proficiency in basic SQL commands and a solid understanding of the Oracle database environment (completion of the “Native SQL for Programmers” workshop in Oracle 11g is preferred)
- Practical hands-on experience working with Oracle databases
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
