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Course Outline

Application Tuning Methodology

Database and Instance Architecture

  • Server processes
  • Memory structures (SGA, PGA)
  • Query parsing and shared cursors
  • Data files, log files, and parameter files

Analysis of Command Execution Plans

  • Theoretical plans (EXPLAIN PLAN, SQLPlus AutoTrac, XPlane)
  • Actual execution plans (V$SQL_PLAN, XPlane, AWR)

Performance Monitoring and Bottleneck Identification

  • Monitoring current instance status via system dictionary views
  • Analyzing historical dictionary data
  • Application tracing tools (SQLTrace, TkProf, TreSess)

Optimization Processes

  • Cost-based and rule-based optimization properties
  • Determining optimal strategies

Controlling the Cost-Based Optimizer

  • Session and instance parameters
  • Using hints
  • Query plan patterns

Statistics and Histograms

  • The impact of statistics and histograms on performance
  • Methods for collecting statistics and histograms
  • Strategies for statistics counting and estimation
  • Statistical management: blocking, copying, editing, automated collection, and change monitoring
  • Dynamic data sampling (temporary tables, complex predicates)
  • Multi-column and expression-based statistics
  • System-level statistics

Logical and Physical Database Structure

  • Tablespaces
  • Segments
  • Extent (EXTENTS) management
  • Block structure

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 Mechanisms

Data Indexing Strategies

  • Constructing B-TREE indexes
  • Index properties and characteristics
  • Types of indexes: unique, multi-column, function-based, inverted
  • Index compression
  • Index rebuilding and merging
  • Virtual indexes
  • Private vs. public synonyms for indexes
  • Bitmap indexes and bitmapped join indexes

Case Study: Full Table Scans

  • Impact of table placement and block size on read performance
  • Conventional vs. direct path data loading
  • Order of predicates in queries

Case Study: Index-Based Data Access

  • Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
  • Utilizing functional indexes
  • Index selectivity (Clustering Factor)
  • Multi-column indexes and SKIP SCAN
  • Handling NULL values in indexes
  • Index-Organized Tables (IOT)
  • Impact of DML operations on indexes

Case Study: Sorting Operations

  • In-memory sorting
  • Sort indexes
  • Linguistic sorting
  • Effect of data entropy and Clustering Factor on sorting

Case Study: Joins and Subqueries

  • Join algorithms: MERGE, HASH, NESTED LOOP
  • Joins in OLTP vs. 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 operations
  • FILTER operations
  • COUNT STOPKEY
  • Result Cache

Distributed Queries

  • Query plan analysis for DBLink usage
  • Selecting leading tables

Parallel Processing

Requirements

  • Proficiency in basic SQL and a solid understanding of the Oracle database environment (completion of the "Native SQL for Programmers" workshop is recommended)
  • Practical hands-on experience working with Oracle databases
 28 Hours

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