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Course Outline
Application Tuning Methodology
Database Architecture and Instance
- Server processes
- Memory structures (SGA, PGA)
- Cursor parsing and sharing
- Data files, log files, and parameter files
Execution Plan Analysis
- Estimated plans (EXPLAIN PLAN, SQL*Plus Autotrace)
- Actual execution plans (V$SQL_PLAN, Autotrace, AWR)
Performance Monitoring and Identifying Process Bottlenecks
- Monitoring current instance status via system dictionary views
- Monitoring historical data from dictionary views
- Application tracking (SQL Trace, TkProf, Tracesess)
The Optimization Process
- Cost-based optimizer properties and regulation
- Optimization levels
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 sampling and estimating statistics
- Statistics management: blocking, copying, editing, automating collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multicolumn 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, composite)
- Physical table reorganization
Materialized Views and Query Rewrite Mechanism
Data Indexing Methods
- Building B-tree indexes
- Index properties
- Index types: unique, multicolumn, function-based, reverse
- Compressed indexes
- Index reconstruction and merging
- 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 versus 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)
- Utilizing functional indexes
- Index selectivity (Clustering Factor)
- Multicolumn indexes and SKIP SCAN
- NULLs and indexes
- Index-organized tables (IOT)
- Impact of indexes on DML operations
Case Study: Sorting
- Sort memory management
- Sort indexes
- Linguistic sorting
- Impact of 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-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 use with database links
- Selecting the driving site
Parallel Processing
Requirements
- Proficiency in SQL basics and familiarity with the Oracle database environment (completion of the "Native SQL for Programmers" workshop for Oracle 11g is preferred)
- 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
