https://community.databricks.com/t5/machine-learning/how-to-identify-s3-object-type-directory-or-file-created-by/m-p/10988#M546 <P>The issue context is Delta Lake connector in Trino <A href="https://github.com/trinodb/trino/issues/13017" target="test_blank">https://github.com/trinodb/trino/issues/13017</A></P><P></P><P>Trino identifies S3 object as a directory or a file using Content-Type header. Other query engines set application/x-directory in case of directories, but Databricks sets application/octet-stream in the header. Is there an alternative solution to identifies the object type using com.amazonaws.services.s3.model.ObjectMetadata when we use Databricks? If not, is it possible to request the header change? </P> Mon, 08 Aug 2022 03:01:37 GMT ebyhry 2022-08-08T03:01:37Z https://community.databricks.com/t5/machine-learning/how-to-identify-s3-object-type-directory-or-file-created-by/m-p/10988#M546 <P>The issue context is Delta Lake connector in Trino <A href="https://github.com/trinodb/trino/issues/13017" target="test_blank">https://github.com/trinodb/trino/issues/13017</A></P><P></P><P>Trino identifies S3 object as a directory or a file using Content-Type header. Other query engines set application/x-directory in case of directories, but Databricks sets application/octet-stream in the header. Is there an alternative solution to identifies the object type using com.amazonaws.services.s3.model.ObjectMetadata when we use Databricks? If not, is it possible to request the header change? </P> Mon, 08 Aug 2022 03:01:37 GMT https://community.databricks.com/t5/machine-learning/how-to-identify-s3-object-type-directory-or-file-created-by/m-p/10988#M546 ebyhry 2022-08-08T03:01:37Z