Viewing data filters - Amazon Lake Formation
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Viewing data filters

You can use the Lake Formation console, Amazon CLI, or the Lake Formation API to view data filters.

To view data filters, you must be a Data Lake administrator or have the required permissions on the data filters.

Console

  1. Sign in to the Amazon Web Services Management Console and open the Lake Formation console at https://console.amazonaws.cn/lakeformation/.

  2. In the navigation pane, under Data catalog, choose Data filters.

    The page displays the data filters you have access to.

    The Data filters page displays the available data filters with the following columns: Filter name, Table, Database, and Table catalog ID. The screenshot shows a single data filter with the following values: test-df, cloudtrailtest_cloudtrail, lakeformation_cloudtrail, redacted account ID. Above the table there are four buttons (from left to right): Refresh/reload, View (grayed out), Delete (grayed out), and "Create new filter". There is also a search field, which is empty.

  3. To view the data filter details, choose the data filter, and then choose View. A new window appears with the data filter detailed information.

    The "View data filter" window shows additional information about the selected data filter. The information displayed includes the name, database, table, column-level access setting, row filter expression, and the columns.
Amazon CLI

Enter a list-data-cells-filter command and specify a table resource.

The following example lists the data filters for the cloudtrailtest_cloudtrail table.

aws lakeformation list-data-cells-filter --table '{ "CatalogId":"123456789012", 
"DatabaseName":"lakeformation_cloudtrail", "Name":"cloudtrailtest_cloudtrail"}'
API/SDK

Use the ListDataCellsFilter API and specify a table resource.

The following example uses Python to list the first 20 data filters for the myTable table.

response = client.list_data_cells_filter(
    Table = {
        'CatalogId': '111122223333',
        'DatabaseName': 'mydb',
        'Name': 'myTable'
    },
    MaxResults=20
)