Google Cloud Storage
Connect to Google Cloud Storage
In the Big Data Tools window, click and select Google Cloud Storage.
In the Big Data Tools dialog that opens, specify the connection parameters:
Name: the name of the connection to distinguish it between the other connections.
Choose the way to get buckets:
Select Custom roots and, in the Roots field, specify the name of the bucket or the path to a directory in the bucket. You can specify multiple names or paths by separating them with a comma.
Select All buckets in the account. You can then use the bucket filter to show only buckets with particular names.
Path: a path to the Cloud Storage JSON file (required if the bucket is not publicly shared).
Optionally, you can set up:
Per project: select to enable these connection settings only for the current project. Deselect it if you want this connection to be visible in other projects.
Enable connection: deselect if you want to restrict using this connection. By default, the newly created connections are enabled.
Project ID: available if you have selected All buckets in the account. This overrides the project ID specified in the JSON credentials file. Enter a project ID to use buckets from a project other than the one specified in the credentials file.
Proxy: select if you want to use IDE proxy settings or if you want to specify custom proxy settings.
: enter your custom endpoint URL, for example, if you want to use it to mock a Google Cloud Storage server.
Once you fill in the settings, click Test connection to ensure that all configuration parameters are correct. Then click OK.
Once you have established a connection, you can view the storage and work with data files in it.