loopback-example-database
A tutorial for basic database related features.
Overview
Topics covered
- Data sources
- Creating
- Configuring
- Models
- Creating
- Automigration
- Discovery
Database specific tutorials
Database specific tutorials are on separate branches. The master branch contains the tutorial for MongoDB.
Branch | Connector |
---|---|
master | MongoDB |
mssql | Microsoft SQL Server |
mysql | MySQL |
oracle | Oracle |
postgresql | PostgreSQL |
For example, to view the MySQL example:
git clone https://github.com/strongloop/loopback-example-database
cd loopback-example-database
git checkout mysql
Prerequisites
Before starting this tutorial, make sure you have the following installed:
- Node
- NPM
- StrongLoop Controller
Running the example
git clone https://github.com/strongloop/loopback-example-database
cd loopback-example-database
npm install
npm start
Tutorial - MySQL
1. Create a new LoopBack app
App info
- Name:
loopback-example-database
- Dir to contain the project:
loopback-example-database
slc loopback loopback-example-database
... # follow the prompts
2. Install the LoopBack MySQL connector
cd loopback-example-database
npm install --save loopback-connector-mysql
3. Create a data source
Data source info
- Data source name:
accountDS
- Select the connector for
accountDS
:MySQL
slc loopback:datasource accountDS
... # follow the prompts
This creates a new data source named accountDS
that uses the MySQL connector.
4. Configure the data source
For the purposes of this example, we will use a preconfigured StrongLoop MySQL
server. Edit server/datasources.json
to set the MySQL configs:
{
...
"accountDS": {
"name": "accountDS",
"connector": "mongodb",
"host": "demo.strongloop.com",
"port": 3306,
"database": "loopback-example-mysql",
"username": "demo",
"password": "L00pBack"
}
}
Feel free to use your own local MySQL instance. Simply change the configs above to match your own.
5. Create a new model
Model Info
- Model name:
Account
- Attach
Account
to:accountDS (mysql)
- Base class:
PersistedModel
- Expose via REST:
Yes
- Custom plural form:
*Leave blank* - Properties:
email
- String
- Not required
createdAt
- Date
- Not required
lastModifiedAt
- Date
- Not required
slc loopback:model Account
... # follow the prompts
6. Create the collection with sample data - Automigration
With the account
model configured, we can generate the corresponding
MySQL table using the info from the Account
metadata in common/models/account.json
via auto-migration.
Start by creating a dir to store general-purpose scripts:
mkdir bin
Inside that dir, create a script named automigrate.js
.
To create the Account
collection and create two sample accounts, run:
node bin/automigrate.js
WARNING
The
automigrate
function creates a new collection if it doesn’t exist. If the collection already exists, it will be destroyed and it’s data will be deleted. If you want to keep this data, useautoupdate
instead.
You should see:
Created: { email: 'john.doe@ibm.com',
createdAt: Thu Oct 22 2015 17:58:09 GMT-0700 (PDT),
lastModifiedAt: Thu Oct 22 2015 17:58:09 GMT-0700 (PDT),
id: 562986213ea33440575c6588 }
Created: { email: 'jane.doe@ibm.com',
createdAt: Thu Oct 22 2015 17:58:09 GMT-0700 (PDT),
lastModifiedAt: Thu Oct 22 2015 17:58:09 GMT-0700 (PDT),
id: 562986213ea33440575c6587 }
7. View data using the explorer
Projects scaffolded via slc loopback
come with loopback-component-explorer
preconfigured. From the project root, start the server:
node .
Then to view the existing account data, browse to localhost:3000/explorer
and
click:
GET /Accounts
Try it out!
You should see:
[
{
"email": "john.doe@ibm.com",
"createdAt": "2015-10-23T00:58:09.280Z",
"lastModifiedAt": "2015-10-23T00:58:09.280Z",
"id": "562986213ea33440575c6587"
},
{
"email": "jane.doe@ibm.com",
"createdAt": "2015-10-23T00:58:09.280Z",
"lastModifiedAt": "2015-10-23T00:58:09.280Z",
"id": "562986213ea33440575c6588"
}
]
Try out some of the other endpoints to get a feel for how explorer works.
8. Add a script to perform discover the database schema
Discovery is the process of reverse engineering a LoopBack model from an existing database schema.
Create a script name discover-schema.js
. Then run this script to
discover the schema from the existing Account
table:
node bin/discover-schema
You should see:
{
"name": "Account",
"options": {
"idInjection": false,
"mysql": {
"schema": "loopback-example-mysql",
"table": "Account"
}
},
"properties": {
"id": {
"type": "Number",
"required": true,
"length": null,
"precision": 10,
"scale": 0,
"id": 1,
"mysql": {
"columnName": "id",
"dataType": "int",
"dataLength": null,
"dataPrecision": 10,
"dataScale": 0,
"nullable": "N"
}
},
"email": {
"type": "String",
"required": false,
"length": 512,
"precision": null,
"scale": null,
"mysql": {
"columnName": "email",
"dataType": "varchar",
"dataLength": 512,
"dataPrecision": null,
"dataScale": null,
"nullable": "Y"
}
},
"createdat": {
"type": "Date",
"required": false,
"length": null,
"precision": null,
"scale": null,
"mysql": {
"columnName": "createdAt",
"dataType": "datetime",
"dataLength": null,
"dataPrecision": null,
"dataScale": null,
"nullable": "Y"
}
},
"lastmodifiedat": {
"type": "Date",
"required": false,
"length": null,
"precision": null,
"scale": null,
"mysql": {
"columnName": "lastModifiedAt",
"dataType": "datetime",
"dataLength": null,
"dataPrecision": null,
"dataScale": null,
"nullable": "Y"
}
}
}
}
9. Add a script to discover and build models
When retrieving the scheme is not enough, you can discover and build LoopBack models in one step.
Create a sript named discover-and-build-models.js
.
Then run:
node bin/discover-and-build-models
You should see:
Found: [ { id: 1,
email: 'john.doe@ibm.com',
createdat: Fri Oct 23 2015 15:07:51 GMT-0700 (PDT),
lastmodifiedat: Fri Oct 23 2015 15:07:51 GMT-0700 (PDT) },
{ id: 2,
email: 'jane.doe@ibm.com',
createdat: Fri Oct 23 2015 15:07:51 GMT-0700 (PDT),
lastmodifiedat: Fri Oct 23 2015 15:07:51 GMT-0700 (PDT) } ]
See the official docs for more info.