Databricks Community

Adding @Vidula Khanna​ and @Kaniz Fatma​ for visibility to help with your request

that is certainly an invalid path, as the error shows.with %fs ls /mnt you can show the directory structure of the /mnt directory, assuming the blob storage is mounted.if not, you need to define the access ( URL etc.)

Hi, @Ravindra Ch​ , could you please check the firewall settings in Azure networking?

Hi @Rohit Kulkarni​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Tha...

spark.read.json("/mnt/dbfs/<ENTER PATH OF JSON DIR HERE>/*.jsonyou first have to mount your blob storage to databricks, I assume that is already done.https://spark.apache.org/docs/latest/sql-data-sources-json.html

try importing argv from sys. Then if you have the parameter added correctly in DataFactory you could get it in your python script typing argv[1] (index 0 is the file path).

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