Read a nested json string and explode into multiple columns in pyspark
I want to parse a JSON request and create multiple columns out of it in pyspark as follows: { "ID": "abc123", "device": "mobile", "Ads": [ { "placement": "topright", "Adlist": [ { "name": "ad1", "subtype": "placeholder1", "category": "socialmedia", }, { "name":…