Hi Hafiz,
As Ewan mentioned, the path is the path to the S3 files unloaded from
Redshift. This is a more scalable way to get a large amount of data
from Redshift than via JDBC. I'd recommend using the SQL API instead
of the Hadoop API (https://github.com/databricks/spark-redshift).
Best,
That project is for reading data in from Redshift table exports stored in s3 by
running commands in redshift like this:
unload ('select * from venue')
to 's3://mybucket/tickit/unload/'
http://docs.aws.amazon.com/redshift/latest/dg/t_Unloading_tables.html
The path in the parameters below is
