By Robin Schumacher
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Extra info for Oracle Performance Troubleshooting With Dictionary Internals SQL & Tuning Scripts
At a minimum, you will need two things flanking both ends of your arsenal: a serious data modeling tool and a robust performance-monitoring product. It has already been established that performance monitoring is really the validation of a database's physical design. When foundational cracks are identified with the monitor, you will need a high-quality design tool to aid in rectifying the situation. For those physical DBAs who do not like to use data modeling tools, two other software products will be needed: a feature-rich database administration tool and a change control product.
So instead, a small data-mart was created from the transactional database that the end users could work against to build the reports they needed. A small extract-transform-load (ETL) routine was also written and fronted with an easy to use GUI that the users could run whenever they liked to refresh the data-mart's contents. While their reports had run for over an hour before, the entire ETL process and report process now crossed the finish line in under seven minutes. And if the ETL routine did not need to be run, the actual report creation could be accomplished in about two minutes.
So instead, many take the quick fix approach to performance problems, which mean throwing hardware at the situation in most cases. We have three choices: • • • The server box itself is upgraded. More processors are introduced to the mix. A decent amount of RAM is added. In the short term, things appear to get better, and if the database is relatively static in nature, things may remain that way. But, if the database is dynamic and the data/user load continues to grow, the problem will return. The reason for this is a foundational one.