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 Duration 28 hours

Course Outline

Application Tuning Methodology

Database and Instance Architecture

  • Server processes
  • Memory structure (SGA, PGA)
  • Parsing and shared cursors
  • Data files, log files, and parameter files

Analyzing Command Execution Plans

  • Hypothetical 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 tracking (SQLTrace, TkProf, TreSess)

The Optimization Process

  • Properties of cost-based and rule-based optimization
  • Determining optimization strategies

Controlling the Cost-Based Optimizer

  • 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 estimating statistics
  • Statistics management: blocking, copying, editing, automated collection, and change monitoring
  • Dynamic data sampling (temporary tables, complex predicates)
  • Multi-column statistics and expression-based statistics
  • System-level statistics

Logical and Physical Database Structure

  • Tablespaces
  • Segments
  • Extensions (EXTENTS)
  • Blocks

Data Storage Methods

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

Materialized Views and Query Rewrite Mechanism

Data Indexing Techniques

  • Constructing B-TREE indexes
  • Index properties
  • Types of indexes: unique, multi-column, function-based, reverse
  • Index compression
  • Rebuilding and coalescing indexes
  • Virtual indexes
  • Private and public synonyms for indexes
  • Bitmap indexes and bitmap joins

Case Study: Full-Table Scans

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

Case Study: Index Access Paths

  • Index read methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
  • Utilizing function-based indexes
  • Index selectivity (Clustering Factor)
  • Multi-column indexes and SKIP SCAN
  • Handling NULL values in indexes
  • Index-organized tables (IOT)
  • The impact of indexes on DML operations

Case Study: Sorting

  • In-memory sorting
  • Index sorting
  • Linguistic sorting
  • The effect of entropy and clustering factor on sorting

Case Study: Joins and Subqueries

  • Join methods: MERGE, HASH, NESTED LOOP
  • Joins in OLTP and 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 MERGE
  • FILTER
  • Count Stop Key
  • Result Cache

Distributed Queries

  • Reading query plans involving DB links
  • Selecting leading tables

Parallel Processing

Requirements

  • Proficiency in basic SQL and familiarity with the Oracle database environment (completion of the 'Native SQL for Programmers' workshop on Oracle 11g is preferred)
  • Practical experience working with Oracle

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 5200 € + VAT*

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