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.

• In the Authentication type list, select an authentication method:

  • GCloud Account: this will open your browser where you can sign in to your Google account. Once authenticated, select the Project ID.

  • Credential File: enter a path to the credential JSON file.

  • Anonymous: select if you want to sign in anonymously, for example, to public buckets.

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 disable this connection. By default, the newly created connections are enabled.

• 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.