Insufficient Permission when writing to AWS Redshift

[eric-cordeiro]

I'm trying to write a table in AWS Redshift using the following code:

try:

    (df_source.write

        .format("redshift")

        .option("dbtable", f"{redshift_schema}.{table_name}")

        .option("tempdir", tempdir)

        .option("url", url)

        .option("user", user)

        .option("password", password)

        .option("forward_spark_s3_credentials", True)

        .option("tempformat", "CSV GZIP")

        .mode("overwrite")

        .save())

except Exception as e:

    raise Exception(f'ERRO: {str(e)}')

However I'm getting the following error:

"Exception: ERRO: An error occurred while calling o450.save. : org.apache.spark.SparkSecurityException: [INSUFFICIENT_PERMISSIONS] Insufficient privileges: User does not have permission SELECT on any file."

I've seen a solution to have an admin run a sql command like 

GRANT SELECT ON ANY FILE TO `user1`

But it's not working and I don't think I'd like to give this grant to every user/group. So, why is this happening and how can I solve it in a more proper manner? I also have unity catalog enabled. Thank you!

[Kaniz]

Hi @eric-cordeiro , 

1. Ensure that the user has the USAGE privilege on the schema where the table resides. You can grant this privilege using the following SQL command:

GRANT USAGE ON SCHEMA <schema_name> TO <schema_user>;

2. Since you mentioned having Unity Catalog enabled, ensure that the catalog is correctly configured and integrated with your Redshift cluster. Verify that the user has the necessary permissions within Unity Catalog as well.