Google Cloud Storage
Last modified: 20 January 2023Connect 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.
Google app credentials: 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.
Extended Connection Settings | Custom host: 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.
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