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Course Outline
Application Tuning Methodology
Database Architecture and Instance
- Server processes
- Memory structures (SGA, PGA)
- Parsing and shared cursors
- Data files, log files, and parameter files
Execution Plan Analysis
- Hypothetical execution plans (EXPLAIN PLAN, SQLPlus Autotrace)
- Actual execution plans (V$SQL_PLAN, AWR)
Performance Monitoring and Identifying Bottlenecks
- Monitoring instance status in real-time via system dictionary views
- Monitoring historical data via system views
- Application tracing (SQL Trace, TkProf, Trace Session)
Optimization Process
- Cost-based optimization properties and regulation
- Optimization approaches
Controlling the Cost-Based Optimizer:
- Session and instance parameters
- Hints
- Query plan patterns
Statistics and Histograms
- Impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for counting and estimating statistics
- Statistics management: blocking, copying, editing, automation of collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics based on expressions
- System statistics
Logical and Physical Database Structure
- Tablespaces
- Segments
- Extents
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary Tables
- Index-organized 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
- Index types: unique, multi-column, function-based, reverse
- Compressed indexes
- Rebuilding and merging indexes
- Virtual indexes
- Private and public indexes
- Bitmap indexes and joins
Case Study: Full Data Scans
- Impact of placement at the table and block level on read performance
- Loading data via conventional and direct path methods
- Order of predicates
Case Study: Index-Based Data Access
- Index read methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Using function-based indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- NULL values and indexes
- Index-organized Tables (IOT)
- Impact of indexes on DML operations
Case Study: Sorting
- In-memory sorting
- Index sorting
- Linguistic sorting
- Impact of data entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join methods: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Join order
- Outer Joins
- Anti-join
- 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 involving DB links
- Selecting the driving site
Parallel Processing
Requirements
- Proficiency in basic SQL and familiarity with the Oracle database environment (preferably having completed Oracle 11g training such as 'Native SQL for Programmers - Workshops')
- 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
