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Course Outline

Application Tuning Methodology

Database and Instance Architecture

  • Server processes
  • Memory structures (SGA, PGA)
  • Cursor parsing and sharing
  • Data files, log files, and parameter files

Analysis of Execution Plans

  • Estimated execution plans (EXPLAIN PLAN, SQL*Plus AutoTrace)
  • Actual execution plans (V$SQL_PLAN, AWR)

Monitoring Performance and Identifying Bottlenecks

  • Monitoring current instance status via dynamic performance views (system dictionaries)
  • Monitoring historical data dictionaries
  • Application tracing (SQLTrace, TkProf)

Optimization Process

  • Characteristics of cost-based optimization
  • Guidelines for optimization strategies

Controlling the Cost-Based Optimizer

  • Session and instance parameters
  • Hinting (hints)
  • Outline files for query plans

Statistics and Histograms

  • Impact of statistics and histograms on performance
  • Methods for collecting statistics and histograms
  • Strategies for analyzing and estimating statistics
  • Statistics management: locking, copying, modifying, automated collection, and change monitoring
  • Dynamic sampling (temporary tables, complex predicates)
  • Multi-column statistics based on expressions
  • System statistics

Logical and Physical Database Structure

  • Tablespaces
  • Segments
  • Extents
  • Blocks

Data Storage Methods

  • Physical aspects of tables
  • Temporary tables
  • Index-organized tables
  • External tables
  • Partitioned tables (range, list, hash, and composite)
  • Physical table reorganization

Materialized Views and Query Rewrite Mechanisms

Data Indexing Methods

  • Building B-tree indexes
  • Index properties
  • Index types: unique, composite, function-based, reverse
  • Compressed indexes
  • Rebuilding and coalescing indexes
  • Virtual indexes
  • Clustered and non-clustered indexes
  • Bitmap indexes and bitmap joins

Case Study - Full Table Scans

  • Impact of block placement and multi-block read performance at the table level
  • Conventional load vs. direct path load
  • Predicate ordering

Case Study - Index-Based Access

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

Case Study - Sorting Operations

  • In-memory sorting
  • Sorting via indexes
  • Linguistic sorting
  • Impact of data distribution on sorting efficiency (Clustering Factor)

Case Study - Joins and Subqueries

  • Join methods: MERGE, HASH, NESTED LOOP
  • Joins in OLTP and OLAP systems
  • Join order determination
  • Outer joins
  • Anti-joins
  • Semi-joins
  • Simple subqueries
  • Correlated subqueries
  • Views and WITH clauses (CTEs)

Other Cost-Based Optimizer Operations

  • Buffer Sort
  • IN-LIST Iterators
  • VIEW operations
  • Filter operations
  • Count Stop Key
  • Result Cache

Distributed Queries

  • Reading query plans involving database links
  • Selecting the driving instance

Parallel Processing

Requirements

  • Proficient understanding of SQL basics and familiarity with the Oracle database environment (completing the 'Native SQL for Programmers - Workshops' course for Oracle 11g is preferred)
  • Practical work experience with Oracle
 28 Hours

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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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