Before you run analysis job on Google Dataflow. You need to setup a
To generate google cloud application credential file, see Google Application Authentication. Usually, it is a json file.
Next go to Ananas Analytics Desktop workspace folder, edit the
workspace.yml file, and add the following
settings: env: GOOGLE_APPLICATION_CREDENTIALS: [your_google_credentials_file_path]
The name of the engine, this name will be shown in the
The description of the engine
The google cloud project id that you want to run the dataflow job
Google Cloud Storage Temp Location
A pipeline level default location for storing temporary files on Google cloud storage
Visualization Storage Settings
Visualization is a special form of Destination, where a relational database is used to host the final result so that Ananas Desktop can query and visualize the result. When running on a different engine, it is mandatory to specify a relational database that the engine can access.
Choose between MySQL and PostgreSQL
The url of the database. Please make sure your engine have good network setting and permission to access it
The database user name
The database password