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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

Command Execution Plan Analysis

  • Hypothetical plans (EXPLAIN PLAN, SQLPlus AutoTrace XPlane)
  • Actual execution plans (V$SQL_PLAN, XPlane, AWR)

Performance Monitoring and Bottleneck Identification

  • Monitoring current instance status via system dictionary views
  • Analysis of historical dictionary data
  • Application tracking (SQLTrace, TkProf, TreSess)

Optimization Processes

  • Properties of cost optimization and regulation
  • Defining optimization targets

Controlling the Cost-Based Optimizer Through:

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

Statistics and Histograms

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

Logical and Physical Database Structure

  • Table spaces
  • Segments
  • Extensions (EXTENTS)
  • Blocks

Data Storage Methods

  • Physical aspects of tables
  • Temporary tables
  • Index-organized tables
  • External tables
  • Table partitioning (range, list, hash, composite)
  • Physical reorganization of tables

Materialized Views and Query Rewrite Mechanism

Data Indexing Methods

  • Building B-TREE indexes
  • Index properties
  • Index types: unique, multi-column, function-based, and reverse
  • Compressed indexes
  • Index reconstruction and coalescing
  • Virtual indexes
  • Private and public indexes
  • Bitmap indexes and bitmap joins

Case Study: Full Table Scans

  • The impact of table-level and block-level storage on read performance
  • Conventional vs. direct path data loading
  • Predicate ordering

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 and 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

  • Memory-based sorting
  • Index sorting
  • Linguistic sorting
  • The effect of entropy and Clustering Factor on sorting

Case Study: Joins and Subqueries

  • Join types: MERGE, HASH, NESTED LOOP
  • Joins in OLTP and OLAP systems
  • Switching order optimization
  • Outer Joins
  • Anti-joins
  • Semi-joins (incomplete 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

  • Query plans for dblink usage
  • Selecting the leading table

Parallel Processing

Requirements

  • Proficiency in basic SQL and familiarity with the Oracle database environment (completion of foundational training such as "Native SQL for Programmers" is preferred)
  • Hands-on practical experience working with Oracle databases
 28 Hours

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