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Course Outline

Methodology for Application Tuning

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

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

Performance Monitoring and Bottleneck Identification

  • Monitoring current instance status using system dictionary views
  • Analyzing historical dictionary data
  • Application tracing (SQL Trace, Tkprof, TreSess)

Optimization Processes

  • Cost-based and rule-based optimization properties
  • Decision-making in optimization strategies

Controlling the Cost-Based Optimizer via:

  • 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 calculating and estimating statistics
  • Statistics management: locking, copying, editing, automation of collection, and monitoring changes
  • 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 characteristics of tables
  • Temporary tables
  • Index-organized tables
  • External tables
  • Table partitioning (range, list, hash, composite)
  • Physical reorganization of tables

Materialized Views and Query Rewrite Mechanisms

Data Indexing Techniques

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

Case Study: Full Table Scans

  • The impact of table level and block placement on read performance
  • Data loading via conventional and direct paths
  • Predicate ordering

Case Study: Data Access via Indexes

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

Case Study: Sorting Operations

  • In-memory sorting
  • Index-assisted sorting
  • Linguistic sorting
  • The effect of entropy on sorting (Clustering Factor)

Case Study: Joins and Subqueries

  • Join types: MERGE, HASH, NESTED LOOP
  • Join strategies in OLTP and OLAP systems
  • Join order optimization
  • Outer joins
  • Anti-joins
  • Anti-semi joins
  • Simple subqueries
  • Correlated subqueries
  • Views and the WITH clause

Other Cost-Based Optimizer Operations

  • Buffer Sort
  • INLIST ITERATOR
  • VIEW ACCESS
  • FILTER OPERATIONS
  • COUNT STOPKEY
  • Result Cache

Distributed Queries

  • Reading query plans involving database links
  • Selecting leading tables

Parallel Processing

Requirements

  • Proficient command of basic SQL and a solid understanding of the Oracle database environment (ideally, prior completion of the 'Native SQL for Programmers' workshop)
  • Hands-on practical experience working with Oracle
 28 Hours

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