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.
Tag: Query Optimization
Clustered Index Key – Natural or Surrogate?
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.
Performance Tuning with Computed Columns
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.
Pseudo Code for batch processing using WHILE LOOP
[code language="sql"] /* Note : Make sure your table/dataset which you wish to process in batches has the column with running number such as an identity column or if not then dump the data in some local scoped temporary/hash table with column as RowID which can be generated using the ROW_NUMBER() function if you are … Continue reading Pseudo Code for batch processing using WHILE LOOP
Leveraging WHILE LOOP
WHILE LOOP can be used for batch processing and can be helpful if you are dealing with huge data processing. Recently I did an analytics project where I had to iterate through 70K customers and generate the Monthly, Last One Year and Since Inception returns of all the customers and their respective benchmark index since … Continue reading Leveraging WHILE LOOP