Get in Touch

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

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

Performance Monitoring and Bottleneck Identification

  • Monitoring current instance status via data dictionary views
  • Monitoring historical data in system views
  • Application tracing (SQL Trace, TKProf, TraceSess)

Optimization Process

  • Cost-based optimizer properties and controls
  • Optimizer modes

Controlling the Cost-Based Optimizer

  • Session and instance parameters
  • Hints
  • Query execution plan outlines

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, and change monitoring
  • Dynamic data sampling (temporary tables, complex predicates)
  • Multi-column statistics and expression-based statistics
  • System statistics

Logical and Physical Database Structure

  • Tablespaces
  • Segments
  • Extents
  • Blocks

Data Storage Methods

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

Materialized Views and Query Rewrite Mechanism

Data Indexing Methods

  • Building B-TREE indexes
  • Index characteristics
  • Index types: unique, multi-column, function-based, reverse key
  • Compressed indexes
  • Index rebuilding and coalescing
  • Virtual indexes
  • Private and public indexes
  • Bitmap indexes and bitmaps

Case Study: Full Table Scans

  • Impact of table block placement and read performance
  • Conventional load and direct-path load methods
  • Predicate ordering

Case Study: Index-Based Data Access

  • Index read methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
  • Utilizing function-based indexes
  • Index selectivity (Cluster Factor)
  • Multi-column indexes and skip scan
  • NULL values and indexing
  • Index-organized tables (IOT)
  • Impact of indexes on DML operations

Case Study: Sorting Operations

  • In-memory sorting
  • Index-based sorting
  • Linguistic sorting
  • Impact of data entropy on sorting (Cluster 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 the WITH clause

Other Cost-Based Optimizer Operations

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

Distributed Queries

  • Reading execution plans involving database links
  • Selecting the driving site

Parallel Processing

Requirements

  • Proficiency in basic SQL and familiarity with the Oracle database environment (ideally following the 'Native SQL for Programmers' workshop training)
  • Practical experience working with Oracle databases
 28 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories