AWS::LakeFormation::Permissions TableWithColumnsResource - Amazon CloudFormation
SyntaxPropertiesExamples
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AWS::LakeFormation::Permissions TableWithColumnsResource

A structure for a table with columns object. This object is only used when granting a SELECT permission.

This object must take a value for at least one of ColumnsNames, ColumnsIndexes, or ColumnsWildcard.

Syntax

To declare this entity in your Amazon CloudFormation template, use the following syntax:

JSON

{
  "CatalogId" : String,
  "ColumnNames" : [ String, ... ],
  "ColumnWildcard" : ColumnWildcard,
  "DatabaseName" : String,
  "Name" : String
}

YAML

  CatalogId: String
  ColumnNames: 
    - String
  ColumnWildcard: 
    ColumnWildcard
  DatabaseName: String
  Name: String

Properties

CatalogId

The identifier for the Data Catalog. By default, it is the account ID of the caller.

Required: No

Type: String

Update requires: Replacement

ColumnNames

The list of column names for the table. At least one of ColumnNames or ColumnWildcard is required.

Required: No

Type: Array of String

Update requires: Replacement

ColumnWildcard

A wildcard specified by a ColumnWildcard object. At least one of ColumnNames or ColumnWildcard is required.

Required: No

Type: ColumnWildcard

Update requires: Replacement

DatabaseName

The name of the database for the table with columns resource. Unique to the Data Catalog. A database is a set of associated table definitions organized into a logical group. You can Grant and Revoke database privileges to a principal.

Required: No

Type: String

Update requires: Replacement

Name

The name of the table resource. A table is a metadata definition that represents your data. You can Grant and Revoke table privileges to a principal.

Required: No

Type: String

Update requires: Replacement

Examples

Input format for TableWithColumnsResource

JSON

{
  "CatalogId" : “123456789012”,
  "ColumnNames" : [ “col1”, “col2” ],
  "DatabaseName" : “my_database”,
  "Name" : “my_table”
}

YAML

CatalogId: “123456789012”
  ColumnNames: 
    - “col1”
  DatabaseName: “my_database”
  Name: “my_table”