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Add an index or id value to JSON

I've got a JSON file similar to this: { "Name": "a1", "Notes": "b1", "Active": "c1" }, { "Name": "a2", "Notes": "b2", "Active": "c2" }, { "Name": "a3", "Notes": "b4", "Active": "c3" } I need to transform it using Python by…

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Pyspark – JSON string column explode into multiple without mentioning schema

I have below JSON string as a column in a pyspark dataframe. { "result":{ "version":"1.2", "timeStamp":"2023-08-14 14:00:12", "description":"", "data":{ "DateTime_Received":"2023-08-14T14:01:10.4516457+01:00", "DateTime_Actual":"2023-08-14T14:00:12", "OtherInfo":null, "main":[ { "Status":0, "ID":111, "details":null } ] }, "tn":"aaa" } } I want to explode the above one…

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Converting pyspark.sql.Rowtype data to Json string eliminating values in Azure Databricks NB

I have below pyspark row type data: indv_msg = [Row(cbm_json_output=Row(country_code='USA', date='06-10-2023', date_epoch='1696550400', id='USA-001535-1696550400', interfaceVersion='1.0.0', opmode_car_door=Row(health_category='GREEN', msg_id='1', num_yellow_preds_in_last_14_days=0, reason=None, reasonDetail=None), opmode_landing_door=Row(health_category='GREEN', msg_id='1', reason=None, reasonDetail=None), sensor=Row(component_type=None, health_category=None, landing_priority=None, msg_id='1', num_yellow_preds_in_last_14_days=None, reason=None, reasonDetail=None), unit_id='001535')) While trying to convert to json string, it is…

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