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Yes, you can use re-try if still it's not resolve raise a support ticket to databricks

if you want to read your Delta Lake table directly from the storage without the need of having a Databricks cluster up and running you can also use the official connector Power BI connector for Delta Lake https://github.com/delta-io/connectors/tree/m...

pyspark.sql.functions.get_json_object(col, path)[source]Extracts json object from a json string based on json path specified, and returns json string of the extracted json object. It will return null if the input json string is invalid.​

Hello Rey, There are currently no events running that are offering free vouchers. We are offering 75% vouchers. Please check out our events page for future events: https://www.databricks.com/learn/training/homeThank you!

As you are talking about different schemas ,perhaps schemaevolutionmode, infercolumntypes, or schemahints may help?? Check out this- 32min onward - https://youtu.be/8a38Fv9cpd8 ​Hope it helps, do let know how you solve it if you can.​

Thanks for sharing @Sujitha Ramamoorthy​ 

If you still want to go with the above approach and don't want to provide schema manually, then you can fetch a tiny batch with 1 record and build the schema into a variable using a .schema option. Once done, you can add a new Body column by providin...