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Course Outline
Application Tuning Methodology
Database and Instance Architecture
- Server processes
- Memory architecture (SGA, PGA)
- SQL parsing and shared cursors
- Data files, log files, and parameter files
Analyzing Execution Plans
- Estimating the plan (EXPLAIN PLAN, SQL*Plus AutoTrace, XPlan)
- Reviewing actual execution (V$SQL_PLAN, XPlan, AWR)
Performance Monitoring and Bottleneck Identification
- Real-time instance monitoring via system dictionary views
- Analysis of historical dictionary data
- Application tracing (SQL Trace, TKPROF, TreSess)
Optimization Processes
- Understanding cost-based optimization properties and regulation
- Determining optimization strategies
Controlling the Cost-Based Optimizer Through:
- 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 counting and estimating statistics
- Statistics management: locking, copying, editing, automated collection, and change monitoring
- Dynamic sampling of data (temporary tables, complex predicates)
- Multi-column and expression-based statistics
- System-wide statistics
Logical and Physical Database Structure
- Table spaces
- Segments
- Extensions (EXTENTS)
- Blocks
Data Storage Techniques
- Physical table characteristics
- Temporary tables
- Index-organized tables
- External tables
- Table partitioning (range, list, hash, hybrid)
- 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 descending
- Index compression
- Index rebuilding and coalescing
- Virtual indexes
- Private and public synonyms for indexes
- Bitmap indexes and index interplay
Case Study: Full Table Scans
- The impact of table-level and block-level placement on read performance
- Conventional vs. direct path data loading
- Predicate ordering effects
Case Study: Index-Based Data Access
- Index access methods (UNIQUE SCAN, RANGE SCAN, FULL SCAN, FAST FULL SCAN, MIN/MAX SCAN)
- Leveraging function-based indexes
- Index selectivity (Clustering Factor)
- Multi-column indexes and SKIP SCAN
- Handling NULL values and indexes
- Index-Organized Tables (IOT)
- The impact of indexes on DML operations
Case Study: Sorting
- In-memory sorting
- Index-based sorting
- Linguistic sorting
- The effect of entropy on sorting (Clustering Factor)
Case Study: Joins and Subqueries
- Join types: MERGE, HASH, NESTED LOOP
- Join optimization in OLTP and OLAP systems
- Join order optimization
- 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 iterator
- FILTER iterator
- Count StopKey
- Result Cache
Distributed Queries
- Analyzing query plans involving DB Links
- Selecting leading tables
Parallel Processing
Requirements
- Proficient command of fundamental SQL concepts and a solid understanding of the Oracle database environment (completion of the 'Native SQL for Programmers' workshop, preferably on Oracle 11g, is recommended).
- Hands-on practical experience working with Oracle databases.
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
