Book Image

Mastering Oracle Scheduler in Oracle 11g Databases

By : Ronald Rood
Book Image

Mastering Oracle Scheduler in Oracle 11g Databases

By: Ronald Rood

Overview of this book

Scheduler (DBMS_SCHEDULER) is included in Oracle Database and is a tool for the automation, management, and control of jobs. It enables users to schedule jobs running inside the database such as PL/SQL procedures or PL/SQL blocks, as well as jobs running outside the database like shell scripts. Scheduler ensures that jobs are run on time, automates business processes, and optimizes the use of available resources. You just need to specify a fixed date and time and Scheduler will do the rest. What if you don't know the precise time to execute your job? Nothing to worry about, you can specify an event upon which you want your job to be done and Scheduler will execute your job at the appropriate time. Although scheduling sounds quite easy, it requires programming skills and knowledge to set up such a powerful, intelligent scheduler for your project. This book is your practical guide to DBMS_SCHEDULER for setting up platform-independent schedules that automate the execution of time-based or event-based job processes. It will show you how to automate business processes, and help you manage and monitor those jobs efficiently and effectively. It explains how Scheduler can be used to achieve the tasks you need to make happen in the real world. With a little understanding of how the Scheduler can be used and what kind of control it gives, you will be able to recognize the real power that many known enterprise-class schedulers ñ with serious price tags ñ cannot compete with. You will see how running a specific program can be made dependent on the successful running of certain other programs, and how to separate various tasks using the built-in security mechanisms. You will learn to manage resources to balance the load on your system, and gain increased database performance.
Table of Contents (15 chapters)
Mastering Oracle Scheduler in Oracle 11g Databases
About the Author
About the Reviewers


One benefit of dbm_scheduler over dbms_job is the fact that it records job actions and (if needed) the actions on the jobs. This enables us to find out when jobs ran and compare the runtime behavior based on recorded execution times, instead of vague user estimations and assumptions. Not everything we would wish for is recorded. It is very useful to add some performance metrics to the detailed logging. This can help us spot where the longer job runtime came from. For example, when we see that a job that normally runs for 2 seconds and performs 4,000 buffer gets, now ran for 3 hours and performed 800,000,000 buffer gets, it's clear that some investigation is required.

The disadvantage of this logging is that it has to be configured and maintained. For this, we have the log_detail_level and the log_history parameters of the job, job_class, or the Scheduler.

Log detail level

The log detail level can be defined at several locations. It can be defined in the job creation and job_class, where...