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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
Analysis of Command Execution Plans
- Hypothetical plans (EXPLAIN PLAN, SQLPlus AutoTrace, XPlan)
- Actual execution plans (V$SQL_PLAN, XPlan, AWR)
Monitoring Performance and Identifying Bottlenecks
- Monitoring current instance status via system dictionary views
- Reviewing historical dictionary data
- Tracking applications (SQLTrace, TkProf, TreSess)
The Optimisation Process
- Cost-based optimisation properties and rules
- Determining optimisation strategies
Controlling the Cost-Based Optimiser 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
- Managing statistics: 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
- Extensions (EXTENTS)
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary tables
- Indexed tables
- External tables
- Partitioned tables (range, list, hash, hybrid)
- Physical reorganisation of tables
Materialized Views and Query Rewrite Mechanisms
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Types of indexes: unique, multi-column, function-based, and descending
- Compressed indexes
- Rebuilding and coalescing indexes
- Virtual indexes
- Private and public indexes
- Bitmap indexes and joins
Case Study - Full Table Scans
- The impact of table and block placement on read performance
- Conventional vs. direct-path data loading
- Predicate ordering
Case Study - Index-Access Data Retrieval
- Index read methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Utilising function-based indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- Handling NULLs in indexes
- Index-Organised Tables (IOTs)
- Impact of DML operations on indexes
Case Study - Sorting
- In-memory sorting
- Index-based sorting
- Linguistic sorting
- The effect of entropy on sorting (Clustering Factor)
Case Study - Joins and Subqueries
- Join methods: MERGE, HASH, NESTED LOOP
- Joins in OLTP vs. OLAP systems
- Join order optimisation
- Outer Joins
- Anti-joins
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimiser Operations
- Buffer Sort
- INLIST
- VIEW
- FILTER
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans involving DB Links
- Selecting leading tables
Parallel Processing
Requirements
- Proficiency in basic SQL and a solid understanding of the Oracle database environment (completion of the Oracle 11g 'Native SQL for Programmers' training is recommended)
- Practical 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
