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Course Outline
Application Tuning Methodology
Database and Instance Architecture
- 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, SQL*Plus Autotrace, AWR)
Performance Monitoring and Bottleneck Identification
- Monitoring instance status via data dictionary views
- Monitoring historical data dictionary views
- Application tracing (SQL*Trace, TkProf, TKPROF for session analysis)
Optimization Process
- Cost-based optimization characteristics and regulation
- Determining optimization parameters
Controlling the Cost-Based Optimizer:
- Session and instance parameters
- Hints
- Query plan outlines
Statistics and Histograms
- Impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for gathering and estimating statistics
- Statistics management: blocking, copying, editing, automation of collection, and change monitoring
- Dynamic data sampling (temporary tables, complex predicates)
- Multicolumn statistics and expression-based statistics
- 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
- Creating B-TREE indexes
- Index properties
- Index types: unique, multicolumn, function-based, inverted
- Compressed indexes
- Index rebuilds and merges
- Virtual indexes
- Private and public indexes
- Bitmap indexes and joins
Case Study: Full Table Scans
- Impact of block-level reads and table placement on performance
- Data loading via conventional and direct paths
- Order of predicates
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)
- Multicolumn indexes and SKIP SCAN
- NULL values and indexes
- Index-organized tables (IOT)
- Impact of indexes on DML operations
Case Study: Sorting
- Sort memory allocation
- Index sorting
- Linguistic sorting
- Impact of data distribution on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join algorithms: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Join order optimization
- 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
- FILTER
- STOPKEY
- RESULT CACHE
Distributed Queries
- Reading query plans for use with database links (dblinks)
- Selecting the driving site
Parallel Processing
Requirements
- Familiarity with SQL basics and knowledge of the Oracle database environment (preferably having completed the 'Native SQL for Programmers' workshop 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
