Hi, I am trying to implement user-based row level security for my quicksight dashboard. I am using Timestream dataset for my quicksight dashboard. I made all my columns varchar type in order to adhere to user-based row level security requirements. However, I always received an error stating that time is of invalid column type.
How do I force conversion of time column to varchar type for timestream dataset for Quicksight row-level security?
Thanks for the reply. No worries, I managed to find the solution. After importing the data from timestream, I go to the dataset tab in Quicksight and directly change the column type for time to string. I was then able to perform user-based row level security for the dataset without any errors.
Hope this helps others who may have a similar issue for user-based row level security for timestream datasets in Quicksight