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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 plans (EXPLAIN PLAN, SQL*Plus AutoTrace)
- Actual execution plans (V$SQL_PLAN, TKPROF, AWR)
Performance Monitoring and Identifying Bottlenecks
- Monitoring current instance status via system dictionary views
- Monitoring historical data from system views
- Tracking application performance (SQL Trace, TKPROF, TKPROF)
Optimization Process
- Cost-based optimization properties and configuration
- Determining optimization strategies
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 gathering and estimating statistics
- Statistics management: locking, copying, editing, automation of collection, and monitoring changes
- Dynamic sampling (temporary tables, complex predicates)
- Multi-column statistics based on expressions
- System statistics
Logical and Physical Database Structure
- 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 Query Rewrite Mechanism
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Index types: unique, multi-column, function-based, inverse
- Compressed indexes
- Rebuilding and merging indexes
- Virtual indexes
- Local and global indexes
- Bitmap indexes and joins
Case Study: Full Table Scans
- Impact of placement at the table level and block reads on performance
- Loading data via conventional and direct paths
- Order of predicates
Case Study: Index-Based Data Access
- Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Using function-based indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- NULL values and indexes
- Index-organized tables (IOT)
- Impact of indexes on DML operations
Case Study: Sorting Operations
- Memory-based sorting
- Index-based sorting
- Linguistic sorting
- Impact 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 determination
- Outer Joins
- Anti-joins
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- INLIST ITERATOR
- VIEW
- FILTER
- COUNT STOP KEY
- Result Cache
Distributed Queries
- Reading query plans for DB links
- Choosing the driving site
Parallel Processing
Requirements
- Foundational knowledge of SQL and familiarity with the Oracle database environment (completion of the "Native SQL for Programmers" workshop for Oracle 11g is preferred)
- Practical experience working with Oracle
28 Hours
Testimonials (2)
1. I liked the trainer's style of presenting and the patience to explain. 2. I liked that the trainer answered our side questions, even the ones that took the discussion a bit farther from the presentation, which showed flexibility. 3. I liked that there was a practical lab, not just a theoretical part. 4. I liked that it was online.
Roxana - DB Global Technology
Course - Oracle 11g - Application Tuning - Workshop
Trainer expertise on SQL tuning
