I called a REST API and retrieved the result and placed it in Azure blob storage as a JSON file (all this using Copy data activity from Azure Data Factory).
{"success": "True",
"timestamp": "1618498386",
"base": "EUR",
"date": "2021-04-15",
"rates": {
"AED": 4.395136,
"AFN": 92.798516,
"ALL": 123.01053,
"AMD": 623.68381,
"UAH": 33.449108,
"UGX": 4330.311325,
"USD": 1.196623}}
Now I would like to use the same pipeline to connect to a table in SQL Server with the following format.
| base | date | CURR_KEY | CURR_VALUE |
|---|---|---|---|
| EUR | 2021-04-15 | AED | 4.395136 |
| EUR | 2021-04-15 | AFN | 92.798516 |
| EUR | 2021-04-15 | ALL | 123.01053 |
| EUR | 2021-04-15 | AMD | 623.68381 |
| EUR | 2021-04-15 | UAH | 33.449108 |
| EUR | 2021-04-15 | UGX | 4330.311325 |
| EUR | 2021-04-15 | USD | 1.196623 |
The challenge here is to parse the nested JSON object "rates" and place it in the table as shown above through ADF pipeline. Any ideas on how to solve this?
Update: I have posted a question recently asking how to parse the above JSON using a SQL query. The reason I posted this one is to look for answers which solve the aforementioned problem only by using ADF GUI instead of creating a stored procedure.

