How to delete rows from an input dataset and replace the dataset


I was trying to use SQL transformations, but I cannot make the output dataset the same as the input dataset. Could someone help?
Comments
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The solution is a partial recurive flow but in your case, you aren't maintaining history rather, delete/replacing the input with the output.
I've created a flow to demonstrate how you can do this using simple SQL flows adding a constant that will distinguish which rows are obsolete vs. not.
Let me know if this helps.
Test Data
Include a flag/constant that will help you distinguish which rows are obsolete
Choose the Custom SQL
Delete rows which are Obsolete
use this output as your new input
0 -
Thank you for the detailed explanation. I did not know about the DELETE command, and that was very helpful.
While this is a significant improvement from what I thought I could do, there's still this issue that remains:
The new data that comes in is never obsolete. Its only after a certain time that it becomes obsolete. That means that I cannot instantly do operations on incoming data, rather I have to store it in a dataset, and keep running delete statements on that to remove unwanted data.
So while my end output in purged, there is this huge dataset in the middle that I still have to maintain.
Any idea on how I can reduce the size of the middle dataset as well?
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