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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 current instance status via system dictionary views
  • Analyzing historical dictionary data
  • Application tracking tools (SQL Trace, TkProf, TreSess)

Optimization Processes

  • Cost-based optimization properties and regulation
  • Determining optimization strategies

Controlling the Cost-Based Optimizer via:

  • 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
  • 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
  • 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 Mechanisms

Data Indexing Methods

  • Constructing B-Tree indexes
  • Index properties
  • Index types: unique, multi-column, function-based, inverted
  • Index compression
  • Rebuilding and coalescing indexes
  • Virtual indexes
  • Private and public indexes
  • Bitmap indexes and bitmaps

Case Study: Full Table Scans

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

Case Study: Index-Driven Data Access

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

Case Study: Sorting Operations

  • In-memory sorting
  • Sort indexes
  • Linguistic sorting
  • Entropy effects on sorting (Clustering Factor)

Case Study: Joins and Subqueries

  • Join types: MERGE, HASH, NESTED LOOP
  • Joins in OLTP vs. OLAP systems
  • Join order switching
  • Outer joins
  • Anti-joins
  • Semi-joins
  • Simple subqueries
  • Correlated subqueries
  • Views and the WITH clause

Other Cost-Based Optimizer Operations

  • Buffer sort
  • INLIST
  • View access
  • Filter operations
  • Count Stop Key
  • Result Cache

Distributed Queries

  • Reading query plans involving DB links
  • Selecting leading tables

Parallel Processing

Requirements

  • Proficient command of fundamental SQL concepts and familiarity with the Oracle database environment (completion of the 'Native SQL for Programmers' workshop on Oracle 11g is preferred)
  • Practical, hands-on experience working with Oracle systems
 28 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 6400 € + VAT*

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