RESTful API design advice on getting all A associated with B - mongodb

I'm trying to design a RESTful API as a side project.
I am also using MongoDB as database
(I'm new to NoSQL design, so I need help, If I have misunderstanding in how documents should be designed).
I have example entities as following:
Event {
id: string
name: string
date: date
location: location
subgroups: group[]
}
Group {
id: string
owners: user[]
members: user[]
parentEvent: event
posts: post[]
}
User {
id: string
Name: string
attendingGroups: group[]
owningGroups: group[]
}
post {
id: string
parentgroup: Group
}
location {
id: string
city: string
}
For above example,
Should I have a designated get call for having all groups associated with the user?
or should I get a user and get the associated groups from the user retrieved?

Depends how you design it. You can embed resources in other resources to save you from N+1 select problem, nothing is against with that.
Hal+json format is the format you should be embedding resources.
In REST you can even have ?_embed=groups parameter to embed or not.
Embedding or not embedding is up to your applications needs, not embedding way = you should design a filter like /groups?user=eralpb to get the groups. Or sub-resources work as well like /users/eralpb/groups should only return my groups.

Related

Best practices with connecting data from 2 models

I've got two models: Note and Profile. Note contains foreign key of connected profile as you can see below.
Note: {
profile_id: String,
date: String,
content: String,
}
Profile: {
id: String,
name: String,
profilePicture: String
}
I want to get all notes and also name and profile picture of note.
In this situation should I:
get all notes and all profiles and then join them locally in for loop,
get all notes and then in for loop ask DB for name and picture of matching profile,
other option
Which way is recomended?
Take a look at mongoose's Populate. You can declare a Schema property with type: Schema.Types.ObjectId, ref: 'Profile'. When you run a Query you can .populate() this field with the corresponding document.

How to write JOIN in graphQL or get result from multiple types - AWS App sync iOS

I am using AWS AppSync for a chat app in one of the my applications. We are able to do setup and basic query successfully.
In one of the case I need to write a customized GraphQL query so that I can have additional data using reference of one type from another. For example, I can have allMessageGroup from a user and also allMessages from a particular group.
Now I want to add the last message in the group and its sender with the list of all message group just like what's app home page.
But I am not able to understand how make JOIN or write such query which give mixed results based on Conversation/Message/User types/table.
Platform:iOS
Language: Swift
For detail below is my Schema and API/Query I am using
Schema
type Conversation {
conversation_cover_pic: String
conversation_type: String!
createdAt: String
id: ID!
messages(after: String, first: Int): MessageConnection
name: String!
privacy: String
}
type Message {
author: User
content: String!
conversationId: ID!
createdAt: String
id: ID!
recipient: User
sender: String
}
type MessageConnection {
messages: [Message]
nextToken: String
}
Query
query getUserConversationConnectionThroughUser($after: String, $first: Int)
{
me
{
id
__typename
conversations(first: $first, after: $after)
{
__typename
nextToken
userConversations
{
__typename
userId
conversationId
associated
{
__typename
userId
}
conversation
{
__typename
id
name
privacy
messages
{
__typename
id
conversationId
content
createdAt
sender
isSent
}
}
}
}
}
}
It sounds like you need multiple requests to one or more datasources to fulfill this graphQL query. In this case, you can use AppSync's pipeline resolver feature.
With pipeline resolvers, you can create multiple functions, each of which can use the results of the previous function and query a database. These functions run in an order you specify.
An example of something you could do with a pipeline resolver:
One function will query the chat group database
A second function will use the results of the chat group to fetch messages
Consolidate all the results into one graphQL response containing group information and messages
Here is the documentation for pipeline resolvers: https://docs.aws.amazon.com/appsync/latest/devguide/pipeline-resolvers.html

Appsync Fine Graine Control on Mutation with Multiple Tables

I have the following schema where the author of an Event can make notes on the Event. Only the author of the event should be able to create notes. I store the author in the Event. However, I'm finding other users are able to create a note on an event they didn't author by simply passing the eventId of an another users event, like so:
mutation {
noteOnEvent(input: { eventId: "***", content: "A comment"}) {
eventId
content
}
}
How can i prevent this? I don't see a way to access the EventTable author to in the noteOnEvent resolver
Schema
type Note {
eventId: ID!
notetId: ID!
content: String
author: String
}
input CreateNoteInput {
eventId: ID!
noteId: String!
content: String
}
type Event {
id: ID!
name: String
author: String
notes: [Note]
}
You can accomplish this using a Nested Resolver.
If you modify your schema slightly, you can accomplish it like so:
type EventCheckedNote {
// Add a resolver on note which creates the note. The event will be available as $cxt.source, and you can make an authZ check before making the mutation.
note: Note
}
type Mutation {
// Add a resolver on noteOnEvent which queries the Event table.
noteOnEvent(input: CreateNoteInput!): EventCheckedNote
}
Here is a tutorial on using nested resolvers to perform authorization checks with multiple data sources involved: https://hackernoon.com/graphql-authorization-with-multiple-data-sources-using-aws-appsync-dfae2e350bf2

Rest API get resource id by field

What is a correct rest way of getting a resource ID by a field, for example a name. Take a look at the following operations:
GET /users/mike-thomas
GET /users/rick-astley
I don't want to use these operations at my API end, instead I want to write an API operation that will get me the ID when submitting a field (name in the case of users) for example:
GET /users/id-by-field
Submitted data:
{
"fullName": "Mike Thomas"
}
Return data:
{
"data": {
"id": "123456789012345678901234"
}
}
What you want is known as an algorithmic URL where the parameters for the algorithm are passed as URL parameters:
GET /users?name="Mike Thomas"
Advantages are that you are using the "root" resource (users) and the search parameters are easily extended without having to change anything in the routing. For example:
GET /users?text="Mike"&year=1962&gender=M
where text would be searched for in more than just the name.
The resultant data would be a list of users and could return more than the identification of those users. Unless fullName uniquely identifies users, that is what you need to allow for anyway. And of course the list could contain a single user if the parameters uniquely identified that user.
{
users: [
{
id: "123456789012345678901234",
fullName: "Mike Thomas",
dateJoined: 19620228
}
, {
id: "234567890123456789012345"
fullName: "Rick Astley",
dateJoined: 19620227
}
]
}

Node.js - Mongoose/MongoDB - Model Schema

I am creating a blog system in Node.js with mongodb as the db.
I have contents like this: (blog articles):
// COMMENTS SCHEMA:
// ---------------------------------------
var Comments = new Schema({
author: {
type: String
},
content: {
type: String
},
date_entered: {
type: Date,
default: Date.now
}
});
exports.Comments = mongoose.model('Comments',Comments);
var Tags = new Schema({
name: {
type: String
}
});
exports.Tags = mongoose.model('Tags',Tags);
// CONTENT SCHEMA:
// ---------------------------------------
exports.Contents = mongoose.model('Contents', new Schema({
title: {
type: String
},
author: {
type: String
},
permalink: {
type: String,
unique: true,
sparse: true
},
catagory: {
type: String,
default: ''
},
content: {
type: String
},
date_entered: {
type: Date,
default: Date.now
},
status: {
type: Number
},
comments: [Comments],
tags: [Tags]
}));
I am a little new to this type of database, im used to MySQL on a LAMP stack.
Basically my question is as follows:
whats the best way to associate the Contents author to a User in the
DB?
Also, whats the best way to do the tags and categories?
In MYSQL we would have a tags table and a categories table and relate by keys, I am not sure the best and most optimal way of doing it in Mongo.
THANK YOU FOR YOUR TIME!!
Couple of ideas for Mongo:
The best way to associate a user is e-mail address - as an attribute of the content/comment document - e-mail is usually a reliable unique key. MongoDB doesn't have foreign keys or associated constraints. But that is fine.
If you have a registration policy, add user name, e-mail address and other details to the users collection. Then de-normalize the content document with the user name and e-mail. If, for any reason, the user changes the name, you will have to update all the associated contents/comments. But so long as the e-mail address is there in the documents, this should be easy.
Tags and categories are best modelled as two lists in the content document, IMHO.
You can also create two indices on these attributes, if required. Depends on the access patterns and the UI features you want to provide
You can also add a document which keeps a tag list and a categories list in the contents collection and use $addToSet to add new tags and categories to this document. Then, you can show a combo box with the current tags as a starting point.
As a final point, think through the ways you plan to access the data and then design documents, collections & indices accordingly
[Update 12/9/11] Was at MongoSv and Eliot (CTO 10gen) presented a pattern relevant to this question: Instead of one comment document per user (which could grow large) have a comment document per day for a use with _id = -YYYYMMDD or even one per month depending on the frequency of comments. This optimizes index creation/document growth vs document proliferation (in case of the design where there is one comment per user).
The best way to associate the Content Authors to a User in the MongoDB, is to take an array in Author Collection which keeps an reference to User. Basically Array because One Content/Book may have multiple Authors i.e. you need to associate one Content to many Users.
The best way for category is to create a different collection in your DB and similarly as above keep a array in Contents.
I hope it helps at-least a little.