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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
Analyzing the Command Execution Plan
- Hypothetical plan (EXPLAIN PLAN, SQLPlus AutoTrace)
- Actual execution plan (V$SQL_PLAN, tkprof, AWR)
Monitoring Performance and Identifying Process Bottlenecks
- Monitoring instance status via system dictionary views
- Monitoring historical data
- Application tracking (SQLTrace, tkprof, TraceSess)
The Optimization Process
- Cost optimization properties and regulation
- Determination of optimization strategies
Controlling the Cost-Based Optimizer by:
- Session parameters and instance settings
- Hints
- Query plan outlines
Statistics and Histograms
- Impact of statistics and histograms on performance
- Methods for collecting statistics and histograms
- Strategies for gathering and estimating statistics
- Statistics management: blocking, copying, editing, automation of collection, monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics, based on expressions
- System statistics
Logical and Physical Structure of the Database
- 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, domain
- Index compression
- Rebuilding and merging indexes
- Virtual indexes
- Private and public indexes
- Bitmap Indexes and join indexes
Case Study - Full Table Scans
- Impact of table placement and block reads on performance
- Data loading: conventional and direct path
- Order of predicates
Case Study - Index Access to Data
- 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
- Sort memory
- Index sorting
- Linguistic sorting
- Impact of data distribution on sorting (Clustering Factor)
Case Study - Joins and Subqueries
- Join methods: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Order of joins
- Outer Joins
- Anti-join
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- IN-LIST iterator
- VIEW operation
- FILTER operation
- Sort Stop Key
- Result Cache
Distributed Queries
- Reading query plans for use with DB links
- Choosing the driving table
Parallel Processing
Requirements
- Fluency in the basics of SQL and knowledge of the Oracle database environment (preferably having completed the 'Native SQL for Programmers' training 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
