You use a scoped view to define the source data accessed for a scan. Scoped-view entries work even if the source data is changed. For example, Google Workspace Migrate can resolve the scoped view entry if a mail folder is renamed.
Tip: If you have a lot of data to scan, use scoped views to manage data. A scoped view allows you to divide the data into chunks, allowing you to scan in manageable phases.
Before you begin
Review Scoped view & mapping headers.
Step 1: Create a CSV file to add multiple entries
You can add multiple entries to a scoped view using a comma-separated values (CSV) file. Scoped-view CSV files must contain:
- A header row specifying the object type.
- Rows under the header with locations for the specified types.
A scoped view can have multiple columns, each with a type-name header. If there's no value in a column, then that column is disregarded for the row. Make sure the character encoding of the CSV file is set to UTF-8.
Step 2: Create a scoped view
- In the Google Workspace Migrate platform, click Connections. You might have to click Menu first.
- Next to your connection, click Scoped views .
- In the top-right corner, click Add .
- Enter a name for your scoped view.
- Click Upload CSV file to upload a CSV file or drag a file to the box.
- Click Create.
Update & validate a scoped view
Update a scoped viewAs you add entries to a scoped view, Google Workspace Migrate validates the source locations.
- Point to your scoped view and click Entries .
- Click Add Add entries manually.
- Check the box next to the target locations. Click the Down arrow to expand your selection.
- After you select all the locations, click NextAdd.
- Point to your scoped view and click Entries .
- Next to the entry you want to remove, check the box and click Delete .
- Point to your scoped view and click Entries .
- Next to the entry you want to validate, check the box and click Validate .
A green check indicates that the entry is validated.
Next step
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