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 Duration 28 hours

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

Analysis of 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 using system dictionary views
  • Analyzing historical dictionary data
  • Application tracking (SQLTrace, TkProf, TreSess)

Optimization Process

  • Cost-based optimization properties and rules
  • Methods for 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 sampling and estimating statistics
  • Statistics management: blocking, copying, editing, collection automation, and change monitoring
  • Dynamic data sampling (temporary tables, complex predicates)
  • Multi-column and expression-based statistics
  • System 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, composite)
  • Physical table reorganization

Materialized Views and Query Rewrite

Data Indexing Methods

  • Constructing B-TREE indexes
  • Index properties
  • Index types: unique, multi-column, function-based, and reverse-key
  • Index compression
  • Index rebuilding and merging
  • Virtual indexes
  • Private and public indexes
  • Bitmap indexes and bitmap joins

Case Study - Full Table Scans

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

Case Study - Index 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 indexes on DML operations

Case Study - Sorting

  • In-memory sorting
  • Sorted indexes
  • Linguistic sorting
  • The effect of entropy on sorting (Clustering Factor)

Case Study - Joins and Subqueries

  • Join algorithms: MERGE, HASH, NESTED LOOP
  • Joins in OLTP and OLAP systems
  • Join order optimization
  • Outer Joins
  • Anti-joins
  • Inner 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

  • Reading query plans involving dblinks
  • Selecting the leading object

Parallel Processing

Requirements

  • Proficiency in SQL fundamentals and familiarity with the Oracle database environment (preferably with prior completion of Oracle 11g training, such as 'Native SQL for Programmers - Workshops')
  • Practical experience working with Oracle databases

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