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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
Execution Plan Analysis
- Hypothetical plans (EXPLAIN PLAN, SQL*Plus AutoTrace)
- Actual execution plans (V$SQL_PLAN, SQLMonitor, AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring instance status via system dictionary views
- Monitoring historical data dictionaries
- Application tracking (SQL Trace, TKPROF, TKPROF)
The Optimization Process
- Properties and regulation of cost-based optimization
- Decision-making in optimization
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 estimating and managing 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 tables (IOT)
- External tables
- Partitioned tables (range, list, hash, composite)
- Physical reorganization of tables
Materialized Views and the Query Rewrite Mechanism
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Index types: unique, multi-column, function-based, reverse
- Index compression
- Index reconstruction and merging
- Virtual indexes
- Private and public indexes
- Bitmap indexes and join indexes
Case Study: Full Table Scans
- Impact of placement at the table and block levels on read performance
- Data loading 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 Operations
- Sort memory usage
- 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 (CTEs)
Other Cost-Based Optimizer Operations
- Buffer Sort
- IN-LIST iterator
- VIEW access
- FILTER operation
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans for dblink usage
- Selecting the driving site
Parallel Processing
Requirements
- Proficiency in the basics of SQL and familiarity with the Oracle database environment (preferably after completing the 'Native SQL for Programmers - Workshops' training for Oracle 11g)
- 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
