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Course Outline
Application Tuning Methodology
Database and Instance Architecture
- Server processes
- Memory structures (SGA and PGA)
- SQL parsing and shared cursors
- Components: data files, log files, and parameter files
Execution Plan Analysis
- Hypothetical plans (using EXPLAIN PLAN and SQLPlus AutoTrac XPlan)
- Actual execution plans (utilizing V$SQL_PLAN, XPlan, and AWR)
Performance Monitoring and Bottleneck Identification
- Real-time instance status monitoring via system dictionary views
- Reviewing historical performance data through dictionaries
- Application tracking tools (SQLTrace, TkProf, and TreSess)
Optimization Processes
- Cost-based optimization properties and regulatory factors
- Decisions regarding optimization strategies
Controlling the Cost-Based Optimizer
- Session and instance parameters
- SQL Hints
- Query plan patterns and shaping
Statistics and Histograms
- The impact of statistics and histograms on query performance
- Techniques for gathering statistics and histograms
- Strategies for statistical counting and estimation
- Statistics management: locking, copying, editing, automated collection, and change monitoring
- Dynamic data sampling (temporary tables and complex predicates)
- Multi-column and expression-based statistics
- System-level statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extensions (EXTENTS)
- Blocks
Data Storage Methods
- Physical attributes of tables
- Temporary tables
- Index-Organized Tables (IOTs)
- External tables
- Table partitioning (range, list, hash, and hybrid)
- Physical reorganization of tables
Materialized Views and Query Rewrite
Data Indexing Strategies
- Constructing B-Tree indexes
- Index characteristics and properties
- Types of indexes: unique, multi-column, function-based, and reverse-key
- Index compression techniques
- Index rebuilding and coalescing
- Virtual indexes
- Private and public synonyms for indexes
- Bitmap indexes and bitmap joins
Case Study: Full Table Scans
- Impact of physical placement at the table and block level on read performance
- Data loading methods: Conventional Path vs. Direct Path
- The significance of predicate ordering
Case Study: Index-Based Data Access
- Index access methods (Unique Scan, Range Scan, Full Scan, Fast Full Scan, Min/Max Scan)
- Leveraging function-based indexes
- Index selectivity and the Clustering Factor
- Multi-column indexes and the Skip Scan optimization
- Handling NULL values in indexes
- Index-Organized Tables (IOTs)
- The impact of DML operations on index performance
Case Study: Sorting Operations
- In-memory sorting
- Index-based sorting
- Linguistic sorting
- The effect of data entropy on sorting efficiency (Clustering Factor)
Case Study: Joins and Subqueries
- Join algorithms: Merge Join, Hash Join, and Nested Loop Join
- Join strategies in OLTP vs. OLAP environments
- Join order determination
- Outer joins
- Anti-joins
- Anti-semi joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause (Common Table Expressions)
Additional Cost-Based Optimizer Operations
- Buffer Sort
- INLIST iteration
- View merging
- Filter operations
- Stop Key operations (Count/First)
- Result Cache utilization
Distributed Queries
- Interpreting query plans involving DB Links
- Selecting the leading table or site
Parallel Processing
Requirements
- Proficiency in basic SQL and a solid understanding of the Oracle database environment (completion of our 'Native SQL for Programmers' workshop on Oracle 11g is highly 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
