Fill empty columns based on values in other columns

pstrauss · June 2023

I'm trying to figure out a way to do the following in an ETL.

Given data that looks like this, I want to propagate the email address from the first row with a specific ID to all other rows that match that ID. I need to do this in order to attribute all interactions of all sorts to a specific user's email address:

Input Example:

Desired Output:

ColemenWilson · June 2023

This is best accomplished in a dataflow. Using magicETL you can use the group by tile and group by ID for the field Email and select the first non-null value option, then, with 1 email per id from the output of that tile, you can join that with you data on the ID field. Let me know if you have any questions!

ColemenWilson · June 2023

No because you will break out the group by into a separate line in the dataflow. So from you input dataset there will be two lines:
1. All rows of data

2. 1 unique row for each ID.

Then you will left join the unique rows for each ID with the original input that has all rows of data. No rows of data will be lost.

ColemenWilson · June 2023

This is best accomplished in a dataflow. Using magicETL you can use the group by tile and group by ID for the field Email and select the first non-null value option, then, with 1 email per id from the output of that tile, you can join that with you data on the ID field. Let me know if you have any questions!

pstrauss · June 2023

Thanks @colemenwilson I'm going to try that approach and will post back if I can't figure it out.

pstrauss · June 2023

@colemenwilson - if I do the group by ID tile, won't I lose the additional rows for that same ID? The ID is in the same table as the individual interaction rows

ColemenWilson · June 2023

No because you will break out the group by into a separate line in the dataflow. So from you input dataset there will be two lines:
1. All rows of data

2. 1 unique row for each ID.

Then you will left join the unique rows for each ID with the original input that has all rows of data. No rows of data will be lost.

pstrauss · June 2023

Got it, thanks!

Fill empty columns based on values in other columns

Best Answers

Answers

Categories