SQL Performance Tuning with Analytic Functions – a Project Report
Posted: Mon Jan 27, 2025 6:40 am
The marketing machine that has been running at full speed for years could perhaps be misunderstood to mean that software will soon always run efficiently as soon as it uses new technologies such as cloud, InMemory or Exadata. Ergo: Why should we even think about the topic of performance? I don't think that's true. Due to larger data volumes and completely new user requirements, performance is still an important issue. In addition, performance problems that are based on poor architecture or suboptimal implementation are not permanently "cured" by the cloud. So it still makes sense to keep an eye on the performance of an application during development.
Performance tuning? Why? We have cloud, InMemory and Exadata!
You should not wait belarus telegram screening until there are obvious problems with the performance of an SQL query to intervene. Queries that appear to be running satisfactorily can turn out to be real problems tomorrow. Possible reasons for this could be in the following areas:
High consumption of system resources,
poor parallelizability or
non-linear scalability with growing data volumes.
Therefore, it makes sense to design queries to be performant from the start. " Do not tune – write fast SQL!"
What are SQL Analytic Functions?
What are we actually talking about? What are SQL Analytical Functions? Analytical Functions are a family of SQL functions. They are also known as window or windowing functions because they provide a "frame view" of the data. Analytical Functions work on the result set of a query. They have special properties.
Performance tuning? Why? We have cloud, InMemory and Exadata!
You should not wait belarus telegram screening until there are obvious problems with the performance of an SQL query to intervene. Queries that appear to be running satisfactorily can turn out to be real problems tomorrow. Possible reasons for this could be in the following areas:
High consumption of system resources,
poor parallelizability or
non-linear scalability with growing data volumes.
Therefore, it makes sense to design queries to be performant from the start. " Do not tune – write fast SQL!"
What are SQL Analytic Functions?
What are we actually talking about? What are SQL Analytical Functions? Analytical Functions are a family of SQL functions. They are also known as window or windowing functions because they provide a "frame view" of the data. Analytical Functions work on the result set of a query. They have special properties.