This video is an introduction to Oracle SQL Performance Tuning for Developers: http://www.informit.com/store/oracle-sql-performance-tuning-for-developers-livelessons-9780134117027
6+ Hours of Video Instruction
The focus of Oracle SQL Performance Tuning for Developers LiveLessons is to illustrate coding techniques that ensure a consistent response time between instances and releases of the Oracle database. This course works closely with performance tuning of actual SQL statements.
In this video training, Dan Hotka starts out with a complete overview of the Oracle architecture so students can get an understanding how their SQL and applications can take advantage of the computing environment. This course then goes in-depth on understanding and controlling the Explain Plan, which is how and in what order Oracle retrieves data. The discussion includes considerable detail, with SQL examples, on how the optimizers--both rule-based and cost-based, but mostly cost-based--make their decisions. Students will work with a variety of SQL statements, reviewing Explain Plans and making changes to make these SQL statements perform better. Lectures include index design, using hints and coding style to control the Explain Plans, and how to use useful tools such as index monitoring, SQL Trace, and the PL/SQL profiler.
This LiveLessons course takes a close look at indexes: how Oracle selects them, why they are sometimes not used, and how to tell if indexes are being used.
This course includes Oracle10g, Oracle11g, and Oracle12c SQL tuning topics.
Learn How To
Read and understand Explain Plan content
Review an Explain Plan and tell quickly if this is a good plan
Understand a good index column candidate from a not-so-good candidate
Quickly tell the likelihood if your SQL will use an existing index
Use coding and a variety of Hints (directives) that can produce better performing SQL
Execute and interpret SQL trace output
Who Should Take This Course
Oracle database administrators who need additional training on SQL tuning
Working knowledge of the SQL query language