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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, SQLPlus Autotrace, XPlan)
  • Actual execution plans (V$SQL_PLAN, XPlan, AWR)

Performance Monitoring and Bottleneck Identification

  • Monitoring instance status via system dictionary views
  • Historical dictionary monitoring
  • Application tracing (SQLTrace, TkProf, TreSess)

Optimization Process

  • Characteristics of cost-based optimization and regulation
  • Determination of optimization strategies

Managing 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 collecting 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, composite)
  • Physical reorganization of tables

Materialized Views and Query Rewrite Mechanism

Data Indexing Methods

  • Building B-TREE indexes
  • Index characteristics
  • Index types: unique, composite, function-based, inverse
  • Compressed indexes
  • Index rebuild and merge operations
  • Virtual indexes
  • Private and public indexes
  • Bitmap indexes and joins

Case Study: Full Table Scans

  • Impact of table placement and block reads on performance
  • Data loading via conventional and direct path methods
  • Order of predicates

Case Study: Index-Based Data Access

  • Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
  • Use of function-based indexes
  • Index selectivity (Clustering Factor)
  • Composite indexes and SKIP SCAN
  • NULL values and indexes
  • Index-organized tables (IOT)
  • Impact of indexes on DML operations

Case Study: Sorting Operations

  • Memory-based sorting
  • Index-based sorting
  • Linguistic sorting
  • Effect 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 determination
  • 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 for DB links
  • Selecting the driving site

Parallel Processing

Requirements

  • Proficiency in SQL basics and familiarity with the Oracle database environment (completion of training in Oracle 11g - Native SQL for Programmers - Workshops is preferred)
  • Practical experience working with Oracle
 28 Hours

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