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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, SQL*Plus AutoTrace/XPlan)
  • Actual execution plans (V$SQL_PLAN, XPlan, AWR)

Performance Monitoring and Bottleneck Identification

  • Monitoring real-time instance status via system dictionary views
  • Analyzing historical data through performance dictionaries
  • Application tracking tools (SQL Trace, TkProf, TreSess)

Optimization Processes

  • Cost-based optimization properties and regulations
  • Methods for determining optimal execution paths

Controlling the Cost-Based Optimizer

  • Session and instance-level 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: locking, copying, editing, automated collection, and change monitoring
  • Dynamic data sampling (temporary tables, complex predicates)
  • Expression-based multi-column statistics
  • System-level statistics

Logical and Physical Database Structure

  • Tablespaces
  • Segments
  • Extent extensions (EXTENTS)
  • Data blocks

Data Storage Methods

  • Physical table characteristics
  • Temporary tables
  • Indexed tables (IOTs)
  • External tables
  • Table partitioning (range, list, hash, composite)
  • Physical table reorganization

Materialized Views and Query Rewrite Mechanisms

Data Indexing Techniques

  • Constructing B-Tree indexes
  • Index properties
  • Index types: unique, multi-column, function-based, reverse-key
  • Index compression
  • Index rebuilding and merging
  • Virtual indexes
  • Private vs. public synonyms for indexes
  • Bitmap indexes and bitmap joins

Case Study: Full Table Scans

  • Impact of table and block-level placement on read performance
  • Conventional vs. direct-path data loading
  • Predicate ordering

Case Study: Index-Access Data Retrieval

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

Case Study: Sorting Operations

  • In-memory sorting
  • Index-based sorting
  • Linguistic sorting
  • The effect of entropy and Clustering Factor on sorting performance

Case Study: Joins and Subqueries

  • Join algorithms: MERGE, HASH, NESTED LOOP
  • Join strategies in OLTP and OLAP environments
  • Join 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 ITERATION
  • VIEW MERGE/EXPRESSION
  • FILTER
  • Count Stop Key
  • Result Cache

Distributed Queries

  • Reading query plans for DBLink usage
  • Selecting leading tables in distributed operations

Parallel Processing

Requirements

  • Confident command of SQL fundamentals and a solid understanding of the Oracle database environment (completion of foundational training such as 'Native SQL for Programmers' on Oracle 11g is recommended)
  • Practical, hands-on experience with Oracle technologies
 28 Hours

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