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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 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 tracing (SQLTrace, TkProf, TreSess)
The Optimization Process
- Cost-based optimization properties and regulation
- 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, automating collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics 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
- Index-organized tables (IOTs)
- External tables
- Partitioned tables (range, list, hash, composite)
- Physical reorganization of tables
Materialized Views and Query Rewrite Mechanism
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Index types: unique, multi-column, function-based, reversed
- Compressed indexes
- Index rebuilding and coalescing
- Virtual indexes
- Private and public synonyms for indexes
- Bitmap indexes and inter-join optimizations
Case Study – Full Table Scans
- The impact of table-level and block-level positioning on read performance
- Data loading via conventional and direct paths
- Predicate ordering
Case Study – Index-Based Data Access
- Index access 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 NULL values and indexes
- Index-organized tables (IOT)
- Impact of DML operations on indexes
Case Study – Sorting
- In-memory sorting
- Index sorting
- 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
- Order of joining tables
- 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 MERGE
- FILTER
- COUNT STOP KEY
- Result Cache
Distributed Queries
- Reading query plans involving DB links
- Selecting leading hints
Parallel Processing
Requirements
- Proficient command of basic SQL and familiarity with the Oracle database environment (completion of the 'Native SQL for Programmers – Workshops' training, preferably on Oracle 11g, is recommended)
- Hands-on 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
