This article was first published on: 2020-03-14. This article will probe the performance benefits of columnstore indexes, on a transactional (OLTP) workload for real-time analytics. We'll cover examples from each of the followings - Pivot, Aggregate Functions, Analytic Functions, Ranking Functions and Window Functions.
This article will follow a practical approach to choose the right candidate for clustered index. It'll investigate through the best practices recommended for clustered index, with the help of an experiment.
Computed Column can be utilized to optimize the query performance. It can be leveraged, to make the query sargeable, to make proper use of available indexes. In this article, we'll perform a test to see, how computed columns can help in performance tuning.
This article is the part of Does it matter ? series.
We'll discuss various aspects to save cost and optimize the database performance by archiving the data.
Leveraging WHILE LOOP