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 Duration 28 hours (4 days)

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

Command Execution Plan Analysis

  • Estimated 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
  • Reviewing historical dictionary data
  • Application tracing (SQLTrace, TkProf, TreSess)

Optimization Processes

  • Cost optimization properties and governance
  • Determining optimization targets

Controlling the Cost-Based Optimizer

  • 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 estimating and counting 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
  • Extensions (EXTENTS)
  • Blocks

Data Storage Techniques

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

Materialized Views and Query Rewrite Mechanisms

Data Indexing Strategies

  • Building B-TREE indexes
  • Index properties
  • Index types: unique, multi-column, function-based, reverse
  • Compressed indexes
  • Index rebuilding and coalescing
  • Virtual indexes
  • Private and public synonyms for indexes
  • Bitmap indexes and bitmap joins

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-Based Data Access

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

Case Study - Sorting

  • In-memory sorting
  • Index sorting
  • Linguistic sorting
  • Impact of entropy on sorting (Clustering Factor)

Case Study - Joins and Subqueries

  • Join algorithms: MERGE, HASH, NESTED LOOP
  • Joins in OLTP and OLAP systems
  • Swap order optimization
  • Outer Joins
  • Anti-joins
  • Incomplete joins (SEMI)
  • Simple subqueries
  • Correlated subqueries
  • Views and the WITH clause

Other Cost-Based Optimizer Operations

  • Buffer Sort
  • INLIST
  • VIEW
  • FILTER
  • Count Stop Key
  • Result Cache

Distributed Queries

  • Query plans using dblink
  • Selecting the leading table

Parallel Processing

Requirements

  • The free use of the basics of SQL and knowledge of Oracle database environment (preferably Oracle 11g completion of training - Native SQL for Programmers - Workshops)
  • Practical experience in working with Oracle

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