Flatten Nested Json in PySpark

Hello Everyone, This series is for beginners and intermediate level candidates who wants to crack PySpark interviews Here is the link to the course : https://www.geekcoders.co.in/courses/... visit to my website: https://www.geekcoders.co.in/s/store json_sample="""{ "id": "0001", "type": "donut", "name": "Cake", "ppu": 0.55, "batters": { "batter": [ { "id": "1001", "type": "Regular" }, { "id": "1002", "type": "Chocolate" }, { "id": "1003", "type": "Blueberry" }, { "id": "1004", "type": "Devil's Food" } ] }, "topping": [ { "id": "5001", "type": "None" }, { "id": "5002", "type": "Glazed" }, { "id": "5005", "type": "Sugar" }, { "id": "5007", "type": "Powdered Sugar" }, { "id": "5006", "type": "Chocolate with Sprinkles" }, { "id": "5003", "type": "Chocolate" }, { "id": "5004", "type": "Maple" } ] }""" dbutils.fs.put("/FileStore/tables/pyspark_questions/18.json",json_sample,True) #pyspark #interviewquestions #interview #pysparkinterview #dataengineer #aws #databricks #python #nestedjson #json

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