Extracting metadata in Azure Data factory

Question

I have a csv file

Customer,Gender,Age,City
1,Male,23,Chennai
4,Female,34,Madurai
3,Male,23,Bangalore

My Azure SQL DB's table TAB_A has only one column: Column_Name I need to move the header of csv file into TAB_A such that the result is:

Column_Name
Customer
Gender
Age
City

Is it possible to achieve this functionality with ADF - Mapping Data flow without using Databricks/Python.

I tried with Source - Surrogate Key - Filter. Able to extract header as row. Unable to transpose. Any pointers? Thanks.

Answer 1

I created a simple test and successfully inserted the header into the sql table.

1. I created a test.csv file, set it as source data, unselect First row as header .
   Source data preview is as follows:
   

2. Use SurrogateKey1 activity to generate a Row_No column. SurrogateKey1 activity data preview is as follows:
   

3. Use FIlter1 activity to filter header via expression Row_No == 1 . Data preview is as follows:
   

4. UseUnpivot1 activity to perform row-column conversion.
   Ungroup by Row_No .
   Unpivot key: just fill in a column name.
   Unpivoted columns: This column name must be consistent with the column name in your sql table. This way ADF will do automatic mapping.
   Data preview is as follows:
   

That's all.