This is a composite connector for Arrow. It lets you composite together models from other connectors in to a single model. Models are queried in parallel and the results are returned once the set of calls is completed.
$ appc install connector/appc.compositevar User = Arrow.Model.extend('user', {
fields: {
first_name: { type: String },
last_name: { type: String },
roles: { type: Array }
},
connector: 'appc.mysql'
}),
Post = Arrow.Model.extend('post', {
fields: {
title: { type: String },
content: { type: String },
author_id: { type: Number },
attachment_id: { type: String }
},
connector: 'appc.mongo'
}),
Attachment = Arrow.Model.extend('attachment', {
fields: {
attachment_content: { type: String, name: 'content' }
},
connector: 'appc.mongo'
})var Users = [
{
id: 1,
first_name: 'Alasdair',
last_name: 'Hurst',
roles: ['admin', 'user']
},
{
id: 2,
first_name: 'Gavin',
last_name: 'Matthews',
roles: ['user']
}
],
Posts = [
{
id: 1,
title: 'Welcome',
content: 'Welcome to Axway!',
author_id: 1,
attachment_id: 1
},
{
id: 2,
title: 'Instructions',
content: 'This is how to use the appc.composite connector.',
author_id: 2
}
],
Attachments = [
{
id: 1,
attachement_content: '[photo]'
},
];Composite model creation allows you to expose a subset of fields from a source model. To do this, you should specify the correct type, name and source model.
Arrow.Model.extend('simpleUser', {
fields: {
first_name: { type: String, name: 'first_name', model: 'user' },
roles: { type: Array, name: 'roles', model: 'user' }
},
connector: 'appc.composite'
})A response from FindAll would look like this:
[
{
"id": 1,
"first_name": "Alasdair",
"roles": ["admin", "user"]
},
{
"id": 2,
"first_name": "Gavin",
"roles": ["user"]
}
]The composite connector also allows fields to be named differently from their underlying data source. In this example, we are exposing the fields first_name and last_name originating in the user model, as author_first_name and author_last_name in the composite model.
Arrow.Model.extend('simpleUser', {
fields: {
author_first_name: { type: String, name: 'first_name', model: 'user' },
author_last_name: { type: String, name: 'last_name', model: 'user' },
roles: { type: Array, name: 'roles', model: 'user' }
},
connector: 'appc.composite'
})A response from FindAll would look like this:
[
{
"id": 1,
"author_first_name": "Alasdair",
"author_first_name": "Hurst",
"roles": ["admin", "user"]
},
{
"id": 2,
"author_first_name": "Gavin",
"author_first_name": "Matthews",
"roles": ["user"]
}
]The composite connector can join multiple models together in to a single model. It does this through the use of various joins.
Let's say we have a table "post" with a field "author_id". author_id contains a string that maps to an "id" in a "user" table. Therefore, we can do a left join to look up the author, and mix its fields in to the model, as follows:
Arrow.Model.extend('article', {
fields: {
title: { type: String, name: 'title', model: 'post' },
content: { type: String, name: 'content', model: 'post' },
author_id: { type: Number, name: 'author_id', model: 'post' },
author_first_name: { type: String, name: 'first_name', model: 'user', required: false },
author_last_name: { type: String, name: 'last_name', model: 'user', required: false }
},
connector: 'appc.composite',
metadata: {
'appc.composite': {
left_join: {
model: 'user',
join_properties: {
'id': 'author_id'
}
}
}
}
})The often difficult bit to understand is that "left_join" property, so let's unpack it together. Notice that we specify a model of "user" or "post" on each of the fields, and in the join, only model "user". This implies that "post" is our main table, and all results will be drawn first from it. An equivalent SQL statement might look like this:
SELECT * FROM post p LEFT JOIN user u ON u.id = p.author_id;The composite connector will thus do a findAll, query, update, or whatever other method you specify on "post" first. Having received the results from post, it will then continue and do a query on "user", searching for the specific "author_id" from each result, one at a time. It then merges the results together and returns them as one unified model.
A response from FindAll would look like this:
[
{
"id": 1,
"title": "Welcome",
"content": "Welcome to Axway!",
"author_id": 1,
"author_first_name": "Alasdair",
"author_first_name": "Hurst"
},
{
"id": 2,
"title": "Instructions",
"content": "This is how to use the appc.composite connector.",
"author_id": 2,
"author_first_name": "Gavin",
"author_first_name": "Matthews"
}
]The only practical difference between a left join and an inner join is for you to specify "inner_join" instead of "left_join" in your composite model's metadata. With this property set, only results that successfully join on their children will be returned. (In other words, the intersection of both sets.)
To join on multiple models, just change your left_join or inner_join to be an array of joins. Let's update our previous example to also lookup an "attachment" table for our article:
Arrow.Model.extend('article', {
fields: {
title: { type: String, name: 'title', model: 'post' },
content: { type: String, name: 'content', model: 'post' },
author_id: { type: Number, name: 'author_id', model: 'post' },
author_first_name: { type: String, name: 'first_name', model: 'user', required: false },
author_last_name: { type: String, name: 'last_name', model: 'user', required: false },
attachment_id: { type: String, name: 'attachment_id', model: 'post' },
attachment_content: { type: String, name: 'attachment_content', model: 'attachment', required: false }
},
connector: 'appc.composite',
metadata: {
'appc.composite': {
left_join: [
{
model: 'user',
join_properties: {
'id': 'author_id'
}
},
{
model: 'attachment',
join_properties: {
'id': 'attachment_id'
}
}
]
}
}
})The connector will go through the left_joins in order, looking them up and merging the results together.
A response from FindAll would look like this:
[
{
"id": 1,
"title": "Welcome",
"content": "Welcome to Axway!",
"author_id": 1,
"author_first_name": "Alasdair",
"author_first_name": "Hurst",
"attachment_id": 1,
"attachement_content": "[photo]"
},
{
"id": 2,
"title": "Instructions",
"content": "This is how to use the appc.composite connector.",
"author_id": 2,
"author_first_name": "Gavin",
"author_first_name": "Matthews"
}
]Instead of specifying the precise fields you want, you can instead include a one-to-one mapping of the entire joined model in your model. This is done by defining a field of type Object, without the property "name".
For example:
Arrow.Model.extend('PostAttachment', {
fields: {
post: { type: Object, model: 'post' },
attachment: { type: Object, model: 'attachment' }
},
connector: 'appc.composite',
metadata: {
'appc.composite': {
left_join: {
model: 'attachment',
join_properties: {
'id': 'attachment_id'
}
}
}
}
})This will look up posts and each instance will have the post stored in an "post" sub-dictionary. Then it will look up attachments that have an id of the post's attachment_id, and store one in a "attachment" sub-dictionary.
A response from FindAll would look like this:
[
{
"id": 1,
"post": {
"id": 1,
"title": "Welcome",
"content": "Welcome to Axway!",
"author_id": 1,
"attachment_id": 1
},
"attachement": {
"id": 1,
"attachement_content": "[photo]"
}
},
{
"id": 2,
"post": {
"id": 2,
"title": "Instructions",
"content": "This is how to use the appc.composite connector.",
"author_id": 2
},
}
]We have heretofore assumed that an article will have just a single author. But what if we want to join with multiple results for a one-to-many relationship? For example, let's say we have a "author" model, and we want to select all of their posts. Just add a field with type: Array and model: "post" and the connector will handle the rest.
As with selecting a joined object, the property "name" should also not be used:
Arrow.Model.extend('authorWithArticles', {
fields: {
first_name: { type: String, name: 'first_name', model: 'user' },
last_name: { type: String, name: 'last_name', model: 'user' },
posts: { type: Array, model: 'post' }
},
connector: 'appc.composite',
metadata: {
'appc.composite': {
left_join: {
model: 'post',
join_properties: {
'author_id': 'id'
}
}
}
}
})A response from FindAll would look like this:
[
{
"id": 1,
"first_name": "Alasdair",
"last_name": "Hurst",
"posts": [
{
"id": 1,
"title": "Welcome",
"content": "Welcome to Axway!",
"author_id": 1,
"attachment_id": 1
}
]
},
{
"id": 2,
"first_name": "Gavin",
"last_name": "Matthews",
"posts": [
{
"id": 2,
"title": "Instructions",
"content": "This is how to use the appc.composite connector.",
"author_id": 2,
}
]
}
]It's also possible that we don't want every whole post object returned, but to save bandwidth, only the title of each post is necesarry. We just need to specify the name of the field we want to use, but this time we set the field type as Array and add a parameter "multiple" to the join metadata.
Note: This only works for single fields from an existing model. To return a subset of fields from a model, a reduced version of the 'post' object would first need to be created and then used in it's place.
Arrow.Model.extend('authorWithArticles', {
fields: {
first_name: { type: String, name: 'first_name', model: 'user' },
last_name: { type: String, name: 'last_name', model: 'user' },
posts: { type: Array, name: 'title', model: 'post' }
},
connector: 'appc.composite',
metadata: {
'appc.composite': {
left_join: {
model: 'post',
multiple: true,
join_properties: {
'author_id': 'id'
}
}
}
}
})A response from FindAll would look like this:
[
{
"id": 1,
"first_name": "Alasdair",
"last_name": "Hurst",
"posts": [ "Welcome" ]
},
{
"id": 2,
"first_name": "Gavin",
"last_name": "Matthews",
"posts": [ "Instructions" ]
}
]By default the number of joined children is 10. However, this number can be controlled by providing a value between 1 and 1000. To achieve this specify "limit" parameter on the field of type Array like this:
Arrow.Model.extend('authorWithArticles', {
fields: {
name: { type: String, name: 'name', model: 'user' },
posts: { type: Array, model: 'post', limit: '50' }
},
connector: 'appc.composite',
metadata: {
'appc.composite': {
left_join: {
model: 'post',
join_properties: {
'author_id': 'id'
}
}
}
}
})What if your models aren't strongly related, but you want them returned together nonetheless? That's also supported:
module.exports = function(Arrow) {
return Arrow.Model.extend('user_post', {
fields: {
users: { type: Array, model: 'user' },
posts: { type: Array, model: 'post' }
},
connector: 'appc.composite'
});
}Notice that we don't need any metadata. This just batches the two models together, so a findAll on the composite model will result in the same being applied to each sub-model, and the results are returned together.
A response from FindAll would look like this:
[
{
"users": [
{
"id": 1,
"first_name": "Alasdair",
"last_name": "Hurst",
"roles": ["admin", "user"]
},
{
"id": 2,
"first_name": "Gavin",
"last_name": "Matthews",
"roles": ["user"]
}
],
"posts": [
{
"id": 1,
"title": "Welcome",
"content": "Welcome to Axway!",
"author_id": 1,
"attachment_id": 1
},
{
"id": 2,
"title": "Instructions",
"content": "This is how to use the appc.composite connector.",
"author_id": 2
}
]
}
]You can query by passing in the relevant arguments as sub-dictionaries:
{
user: {
limit: 1
},
post: {
where: { title: 'Title1' }
}
}This applies to all the methods. For example, a findByID could look like this:
{
user: '9bcfd7d35d3f2ad0ad069665d0120',
post: 61204
}That findByID results in user.findByID('9bc...') being called, and post.findByID(61204).
This section is for individuals developing the Composite Connector and not intended for end-users.
npm install
node app.jsTo use the tests, you'll want to create a database in MySQL with the following tables:
CREATE DATABASE IF NOT EXISTS connector;
USE connector;
CREATE TABLE IF NOT EXISTS Composite_UserTable
(
id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
first_name VARCHAR(255),
last_name VARCHAR(255)
);
INSERT INTO Composite_UserTable (first_name, last_name) VALUES ('Dawson', 'Toth');
CREATE TABLE IF NOT EXISTS nolan_user (
id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
first_name VARCHAR(40),
last_name VARCHAR(50),
email_address VARCHAR(100),
phone_number VARCHAR(20),
home_address VARCHAR(30)
);
CREATE TABLE IF NOT EXISTS nolan_user_bad_habits(
id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
user_id INT NOT NULL,
habit VARCHAR(100) NOT NULL,
FOREIGN KEY (user_id) REFERENCES nolan_user (id) on delete cascade
);Then you can create an article with a JSON body like this:
{ "title": "My Test Title", "content": "My articles content goes here.", "author_id": 1 }Run the unit tests:
npm testThis project is open source and licensed under the Apache Public License (version 2). Please consider forking this project to improve, enhance or fix issues. If you feel like the community will benefit from your fork, please open a pull request.
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