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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
Execution Plan Analysis
- Estimated plan (EXPLAIN PLAN, SQL*Plus Autotrace)
- Actual execution plan (V$SQL_PLAN, XPlan, AWR)
Monitoring Performance and Identifying Process Bottlenecks
- Monitoring current instance status via system dictionary views
- Monitoring historical data
- Application tracking (SQL*Trace, TkProf, TreSess)
The Optimisation Process
- Characteristics of cost-based optimisation and regulation
- Determining the optimisation strategy
Controlling the Cost-Based Optimizer by:
- 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 counting and estimating statistics
- Statistics management: blocking, copying, editing, collection automation, and monitoring changes
- Dynamic data sampling (temporary tables, complex predicates)
- Multi-column statistics and expression-based statistics
- System statistics
Logical and Physical Structure of the Database
- Tablespaces
- Segments
- Extents
- Blocks
Data Storage Methods
- Physical aspects of tables
- Temporary tables
- Index-organised tables
- External tables
- Partitioned tables (range, list, hash, composite)
- Physical reorganisation of tables
Materialised Views and the QUERY REWRITE Mechanism
Data Indexing Methods
- Building B-tree indexes
- Index properties
- Index types: unique, multi-column, function-based, reverse
- Index compression
- Index rebuilding and merging
- Virtual indexes
- Local and global indexes
- Bitmap indexes and joins
Case Study - Full Table Scans
- The impact of data placement at the table and block levels on read performance
- Data loading: conventional and direct path
- Predicate order
Case Study - Data Access via Indexes
- 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
- NULL values and indexes
- Index-organised tables (IOT)
- Impact of indexes on DML operations
Case Study - Sorting
- Sort memory
- Index sort
- Linguistic sort
- The effect of data entropy on sorting (Clustering Factor)
Case Study - Joins and Subqueries
- Join methods: MERGE, HASH, NESTED LOOP
- Joins in OLTP and OLAP systems
- Join order
- Outer Joins
- Anti-join
- Semi-joins
- Simple subqueries
- Correlated subqueries
- Views and the WITH clause
Other Cost-Based Optimizer Operations
- Buffer Sort
- INLIST ITERATOR
- VIEW
- FILTER
- COUNT STOPKEY
- Result Cache
Distributed Queries
- Reading query plans for DB links
- Selecting the driving table
Parallel Processing
Requirements
- Proficiency in SQL basics and knowledge of the Oracle database environment (ideally, having completed the 'Native SQL for Programmers - Workshops' training on 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
