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I suspect you provided a dbfs path to save the data hence the data saved under your workspace root bucket.For the workspace root bucket, databricks workspace will interact with databricks credential to make sure databricks has access to it and able t...

Could you try to map s3 bucket location with Databricks File System then write output to this new location instead of directly write to S3 location.

Hi @Kevin Ostheimer​ 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.Th...

WE have this problem running cluster with 11.2 and shared access mode. spark.databricks.pyspark.enablePy4JSecurity false - this does not help because it says spark.databricks.pyspark.enablePy4JSecurity is not allowed when choosing access modehere is ...

Yes, you can set up an instance profile that can access the S3 bucket and then only give certain users privilege to use the instance profile. For more details, you can check here

You are referencing a FileInfo object when calling .startswith()and not a string.The filename is a property of the FileInfo object, so this should work filename.name.startswith('cop_ ') should work.

You shouldn't need any packages. You can mount S3 bucket to Databricks cluster. https://docs.databricks.com/spark/latest/data-sources/aws/amazon-s3.html#mount-aws-s3 or this http://www.sparktutorials.net/Reading+and+Writing+S3+Data+with+Apache+Spark...