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Course Outline
Application Tuning Methodology
Database and Instance Architecture
- Server processes
- Memory structures (SGA, PGA)
- Cursor parsing and sharing
- Data files, log files, and parameter files
Analysis of Execution Plans
- Estimated execution plans (EXPLAIN PLAN, SQL*Plus AutoTrace)
- Actual execution plans (V$SQL_PLAN, AWR)
Monitoring Performance and Identifying Bottlenecks
- Monitoring current instance status via dynamic performance views (system dictionaries)
- Monitoring historical data dictionaries
- Application tracing (SQLTrace, TkProf)
Optimization Process
- Characteristics of cost-based optimization
- Guidelines for optimization strategies
Controlling the Cost-Based Optimizer
- Session and instance parameters
- Hinting (hints)
- Outline files for query plans
Statistics and Histograms
- Impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for analyzing and estimating statistics
- Statistics management: locking, copying, modifying, automated collection, and change monitoring
- 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, and composite)
- Physical table reorganization
Materialized Views and Query Rewrite Mechanisms
Data Indexing Methods
- Building B-tree indexes
- Index properties
- Index types: unique, composite, function-based, reverse
- Compressed indexes
- Rebuilding and coalescing indexes
- Virtual indexes
- Clustered and non-clustered indexes
- Bitmap indexes and bitmap joins
Case Study - Full Table Scans
- Impact of block placement and multi-block read performance at the table level
- Conventional load vs. direct path load
- Predicate ordering
Case Study - Index-Based Access
- Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Utilizing functional indexes
- Index selectivity (Clustering Factor)
- Composite indexes and index skip scans
- Handling NULL values in indexes
- Index Organized Tables (IOT)
- Impact of indexes on DML operations
Case Study - Sorting Operations
- In-memory sorting
- Sorting via indexes
- Linguistic sorting
- Impact of data distribution on sorting efficiency (Clustering 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 WITH clauses (CTEs)
Other Cost-Based Optimizer Operations
- Buffer Sort
- IN-LIST Iterators
- VIEW operations
- Filter operations
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans involving database links
- Selecting the driving instance
Parallel Processing
Requirements
- Proficient understanding of SQL basics and familiarity with the Oracle database environment (completing the 'Native SQL for Programmers - Workshops' course for Oracle 11g is preferred)
- Practical work experience with Oracle
28 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6400 € + VAT*
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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