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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 Command Execution Plans

  • Predicted execution plans (EXPLAIN PLAN, SQLPlus AutoTrace, XPlan)
  • Actual execution plans (V$SQL_PLAN, XPlan, AWR)

Monitoring Performance and Identifying Process Bottlenecks

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

The Optimization Process

  • Properties of cost-based optimization and regulation
  • Optimization determinants

Controlling the Cost-Based Optimizer by:

  • Session and instance parameters
  • Hints
  • Query plan patterns

Statistics and Histograms

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

Logical and Physical Structure of the Database

  • Tablespaces
  • Segments
  • Extents
  • Blocks

Data Storage Methods

  • Physical aspects of tables
  • Temporary Tables
  • Index-organized Tables
  • External Tables
  • Partitioned Tables (Range, List, Hash, Composite)
  • Physical reorganization of tables

Materialized Views and the QUERY REWRITE Mechanism

Data Indexing Methods

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

Case Study - Full-Table Scans

  • Impact of table placement and block performance on reads
  • Loading data via conventional and direct path methods
  • Order of predicates

Case Study - Data Access via Index

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

Case Study - Sorting

  • Memory sorting
  • Index sorting
  • Linguistic sorting
  • The effect of entropy on sorting (Clustering Factor)

Case Study - Joins and Subqueries

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

Other Cost-Based Optimizer Operations

  • Buffer Sort
  • IN-LIST iteration
  • VIEW operation
  • FILTER operation
  • COUNT STOPKEY
  • Result Cache

Dispersed Queries

  • Reading query plans involving database links (DBlinks)
  • Choosing the driving site

Parallel Processing

Requirements

  • Proficiency in the basics of SQL and familiarity with the Oracle database environment (ideally having completed the 'Native SQL for Programmers - Workshops' training for Oracle 11g)
  • Practical experience working 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 5200 € + VAT*

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