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Duration 28 hours
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
Analysis of Command Execution Plans
- Hypothetical plans (EXPLAIN PLAN, SQLPlus AutoTrac XPlane)
- Actual execution plans (V$SQL_PLAN, XPlane, AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring the current instance status via system dictionary views
- Reviewing historical dictionary data
- Application tracking (SQLTrace, TkProf, TreSess)
Optimization Process
- Cost optimization properties and regulation
- Determining optimization strategies
Controlling the Cost-Based Optimizer via:
- 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
- Statistics management: blocking, copying, editing, automating collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column and expression-based statistics
- System statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extents (EXTENTS)
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary tables
- Indexed tables
- External tables
- Partitioned tables (range, list, hash, mixed)
- Physical reorganization of tables
Materialized Views and QUERY REWRITE Mechanism
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Unique, multi-column, function-based, and reverse indexes
- Compressed indexes
- Rebuilding and coalescing indexes
- Virtual indexes
- Private and public indexes
- Bitmap indexes and bitmap concatenation
Case Study - Full Table Scans
- The impact of table-level and block-level placement on read performance
- Conventional and direct path data loading
- Predicate ordering
Case Study - Index-Based Data Access
- Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Using functional indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- Handling NULL values and indexes
- Index-Organized Tables (IOT)
- Impact of indexes on DML operations
Case Study - Sorting
- In-memory sorting
- Sort indexes
- Linguistic sorting
- The 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 ordering
- 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
- Reading query plans for dblink usage
- Selecting leading hints
Parallel Processing
Requirements
- Proficiency in basic SQL and knowledge of the Oracle database environment (completion of Oracle 11g training, preferably "Native SQL for Programmers - Workshops," is recommended)
- Practical experience working 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
