Query Performance in Oracle environments
Typology of cases where applicable:
- Upgrade of Application, DB version or Operating System.
- Code change in the application, due to new regulations or functionality
- Modifications to the data model: Indexes, partitioning,…
- Hardware changes, patching or changing database parameters.
Examples and use cases:
Query Performance allows you to centralize the entire test suite, saving your team time
Are you thinking about an Oracle migration?
An Oracle migration is a process that is performed to upgrade a database version or move data stored in one data source to another, either because of a change of environment or because of the need to have a more updated version.
A critical factor for the success of an Oracle migration plan is to perform sufficient tests to validate that the queries work correctly and that their performance does not differ significantly from the behavior currently observed in the production environment to be migrated.
It is in this Oracle migration process that Query Performance offers invaluable assistance to database teams in selecting, grouping and launching queries, in order to gather execution data, statistics and metrics that allow us to see how these same queries will behave in the future environment.
Reasons to perform an Oracle migration:
- Improve database performance
- Meet new requirements
- Compatibility with other applications
- Version upgrades for support reasons
- Standardisation of information technology in the organization
- Cost reduction
To take into account in an Oracle migration:
- Pay attention to the behavior of queries
- Adapt the queries to the new version
- Measuring the impact on the behavior of queries
- Compare results and performance using a report
- Identify performance or execution problems in queries
- Define a safe plan of action
Do you need to constantly analyze the performance of your Queries?
Query Performance helps you analyze and compare the performance of your queries in complex environments.
Get detailed reports to compare all the metrics and performances of your queries:
