Table Of Contents

Feedback

User Guide

First time using the AWS CLI? See the User Guide for help getting started.

Note: You are viewing the documentation for an older major version of the AWS CLI (version 1).

AWS CLI version 2, the latest major version of AWS CLI, is now stable and recommended for general use. To view this page for the AWS CLI version 2, click here. For more information see the AWS CLI version 2 installation instructions and migration guide.

[ aws . kendra ]

put-principal-mapping

Description

Maps users to their groups so that you only need to provide the user ID when you issue the query.

You can also map sub groups to groups. For example, the group "Company Intellectual Property Teams" includes sub groups "Research" and "Engineering". These sub groups include their own list of users or people who work in these teams. Only users who work in research and engineering, and therefore belong in the intellectual property group, can see top-secret company documents in their search results.

You map users to their groups when you want to filter search results for different users based on their group’s access to documents. For more information on filtering search results for different users, see Filtering on user context .

If more than five PUT actions for a group are currently processing, a validation exception is thrown.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  put-principal-mapping
--index-id <value>
[--data-source-id <value>]
--group-id <value>
--group-members <value>
[--ordering-id <value>]
[--role-arn <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--index-id (string)

The identifier of the index you want to map users to their groups.

--data-source-id (string)

The identifier of the data source you want to map users to their groups.

This is useful if a group is tied to multiple data sources, but you only want the group to access documents of a certain data source. For example, the groups "Research", "Engineering", and "Sales and Marketing" are all tied to the company's documents stored in the data sources Confluence and Salesforce. However, "Sales and Marketing" team only needs access to customer-related documents stored in Salesforce.

--group-id (string)

The identifier of the group you want to map its users to.

--group-members (structure)

The list that contains your users or sub groups that belong the same group.

For example, the group "Company" includes the user "CEO" and the sub groups "Research", "Engineering", and "Sales and Marketing".

If you have more than 1000 users and/or sub groups for a single group, you need to provide the path to the S3 file that lists your users and sub groups for a group. Your sub groups can contain more than 1000 users, but the list of sub groups that belong to a group (and/or users) must be no more than 1000.

MemberGroups -> (list)

A list of sub groups that belong to a group. For example, the sub groups "Research", "Engineering", and "Sales and Marketing" all belong to the group "Company".

(structure)

The sub groups that belong to a group.

GroupId -> (string)

The identifier of the sub group you want to map to a group.

DataSourceId -> (string)

The identifier of the data source for the sub group you want to map to a group.

MemberUsers -> (list)

A list of users that belong to a group. For example, a list of interns all belong to the "Interns" group.

(structure)

The users that belong to a group.

UserId -> (string)

The identifier of the user you want to map to a group.

S3PathforGroupMembers -> (structure)

If you have more than 1000 users and/or sub groups for a single group, you need to provide the path to the S3 file that lists your users and sub groups for a group. Your sub groups can contain more than 1000 users, but the list of sub groups that belong to a group (and/or users) must be no more than 1000.

You can download this example S3 file that uses the correct format for listing group members. Note, dataSourceId is optional. The value of type for a group is always GROUP and for a user it is always USER .

Bucket -> (string)

The name of the S3 bucket that contains the file.

Key -> (string)

The name of the file.

Shorthand Syntax:

MemberGroups=[{GroupId=string,DataSourceId=string},{GroupId=string,DataSourceId=string}],MemberUsers=[{UserId=string},{UserId=string}],S3PathforGroupMembers={Bucket=string,Key=string}

JSON Syntax:

{
  "MemberGroups": [
    {
      "GroupId": "string",
      "DataSourceId": "string"
    }
    ...
  ],
  "MemberUsers": [
    {
      "UserId": "string"
    }
    ...
  ],
  "S3PathforGroupMembers": {
    "Bucket": "string",
    "Key": "string"
  }
}

--ordering-id (long)

The timestamp identifier you specify to ensure Amazon Kendra does not override the latest PUT action with previous actions. The highest number ID, which is the ordering ID, is the latest action you want to process and apply on top of other actions with lower number IDs. This prevents previous actions with lower number IDs from possibly overriding the latest action.

The ordering ID can be the UNIX time of the last update you made to a group members list. You would then provide this list when calling PutPrincipalMapping . This ensures your PUT action for that updated group with the latest members list doesn't get overwritten by earlier PUT actions for the same group which are yet to be processed.

The default ordering ID is the current UNIX time in milliseconds that the action was received by Amazon Kendra.

--role-arn (string)

The Amazon Resource Name (ARN) of a role that has access to the S3 file that contains your list of users or sub groups that belong to a group.

For more information, see IAM roles for Amazon Kendra .

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

None