/**
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0.
*/
#pragma once
#include Represents user metadata added to a Users dataset using the
* PutUsers
API. For more information see Importing
* Users Incrementally.See Also:
AWS
* API Reference
The ID associated with the user.
*/ inline const Aws::String& GetUserId() const{ return m_userId; } /** *The ID associated with the user.
*/ inline bool UserIdHasBeenSet() const { return m_userIdHasBeenSet; } /** *The ID associated with the user.
*/ inline void SetUserId(const Aws::String& value) { m_userIdHasBeenSet = true; m_userId = value; } /** *The ID associated with the user.
*/ inline void SetUserId(Aws::String&& value) { m_userIdHasBeenSet = true; m_userId = std::move(value); } /** *The ID associated with the user.
*/ inline void SetUserId(const char* value) { m_userIdHasBeenSet = true; m_userId.assign(value); } /** *The ID associated with the user.
*/ inline User& WithUserId(const Aws::String& value) { SetUserId(value); return *this;} /** *The ID associated with the user.
*/ inline User& WithUserId(Aws::String&& value) { SetUserId(std::move(value)); return *this;} /** *The ID associated with the user.
*/ inline User& WithUserId(const char* value) { SetUserId(value); return *this;} /** *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\"
.
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\"
.
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\"
.
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\"
.
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\"
.
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\"
.
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\"
.
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\"
.