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Course Outline
Application Tuning Methodology
Database Architecture and Instance
- Server processes
- Memory structures (SGA, PGA)
- Parsing and shared cursors
- Data files, log files, and parameter files
Analysis of the Command Execution Plan
- Hypothetical plan (EXPLAIN PLAN, SQLPlus AutoTrace, TKPROF)
- Actual execution plan (V$SQL_PLAN, TKPROF, AWR)
Monitoring Performance and Identifying Process Bottlenecks
- Monitoring the current instance status via system dictionary views
- Monitoring historical data in dictionaries
- Tracking application performance (SQLTrace, TKProf, TRESESS)
The Optimization Process
- Properties of cost-based optimization and regulation
- Decision-making for optimization
Controlling the Cost-Based Optimizer by:
- Session parameters and instance settings
- Hints
- Query plan patterns
Statistics and Histograms
- Impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for estimating statistics
- Statistics management: locking, copying, editing, automation of collection, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics based on expressions
- System statistics
Logical and Physical Structure of the Database
- Table spaces
- Segments
- Extents
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary tables
- Index tables
- External tables
- Partitioned tables (range, list, hash, mixed)
- Physical reorganization of tables
Materialized Views and the QUERY REWRITE Mechanism
Data Indexing Methods
- Building B-TREE indexes
- Index properties
- Index types: unique, multi-column, function-based, reverse
- Compressed indexes
- Rebuilding and merging indexes
- Virtual indexes
- Private and public indexes
- Bitmap indexes and join operations
Case Study - Full Data Scan
- Impact of table location and block reads on performance
- Conventional versus direct path data loading
- Order of predicates
Case Study - Accessing Data via Index
- Index read 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
- Handling NULLs with indexes
- Index-Organized Tables (IOT)
- Impact of indexes on DML operations
Case Study - Sorting
- Sorting in memory
- Index-based sorting
- Linguistic sorting
- Effect of data distribution on sorting (Clustering Factor)
Case Study - Joins and Subqueries
- Join methods: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Join order and switching
- Outer Joins
- Anti-join
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- IN-LIST iteration
- VIEW operation
- FILTER
- Count Stop Key
- Result Cache
Distributed Queries
- Reading query plans for use with database links
- Selecting the driving table
Parallel Processing
Requirements
- Proficiency in basic SQL and knowledge of the Oracle database environment (preferably having completed training such as 'Native SQL for Programmers - Workshops' for Oracle 11g)
- 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
