put_users#

PersonalizeEvents.Client.put_users(**kwargs)#

Adds one or more users to a Users dataset. For more information see Importing Users Incrementally.

Request Syntax

response = client.put_users(
    datasetArn='string',
    users=[
        {
            'userId': 'string',
            'properties': 'string'
        },
    ]
)

Parameters:

datasetArn (string) –
[REQUIRED]

The Amazon Resource Name (ARN) of the Users dataset you are adding the user or users to.
users (list) –
[REQUIRED]

A list of user data.
- (dict) –
  
  Represents user metadata added to a Users dataset using the PutUsers API. For more information see Importing Users Incrementally.
  - userId (string) – [REQUIRED]
    
    The ID associated with the user.
  - properties (string) –
    
    A string map of user-specific metadata. Each element in the map consists of a key-value pair. For example, {"numberOfVideosWatched": "45"} .
    
    The keys use camel case names that match the fields in the schema for the Users dataset. In the previous example, the numberOfVideosWatched matches the ‘NUMBER_OF_VIDEOS_WATCHED’ field defined in the Users schema. For categorical string data, to include multiple categories for a single user, separate each category with a pipe separator ( | ). For example, \"Member|Frequent shopper\" .

Returns:

None

Exceptions

PersonalizeEvents.Client.exceptions.InvalidInputException
PersonalizeEvents.Client.exceptions.ResourceNotFoundException
PersonalizeEvents.Client.exceptions.ResourceInUseException