docs: update README with lb4 style

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@ -1,11 +1,8 @@
# loopback-connector-mysql
[MySQL](https://www.mysql.com/) is a popular open-source relational database management system (RDBMS). The `loopback-connector-mysql` module provides the MySQL connector module for the LoopBack framework.
<div class="gh-only">See also <a href="http://loopback.io/doc/en/lb3/MySQL-connector.html">LoopBack MySQL Connector</a> in LoopBack documentation.
<br/><br/>
<b>NOTE</b>: The MySQL connector requires MySQL 5.0+.
</div>
[MySQL](https://www.mysql.com/) is a popular open-source relational database
management system (RDBMS). The `loopback-connector-mysql` module provides the
MySQL connector module for the LoopBack framework.
## Installation
@ -15,15 +12,48 @@ In your application root directory, enter this command to install the connector:
npm install loopback-connector-mysql --save
```
This installs the module from npm and adds it as a dependency to the application's `package.json` file.
**Note**: The MySQL connector requires MySQL 5.0+.
If you create a MySQL data source using the data source generator as described below, you don't have to do this, since the generator will run `npm install` for you.
This installs the module from npm and adds it as a dependency to the
application's `package.json` file.
If you create a MySQL data source using the data source generator as described
below, you don't have to do this, since the generator will run `npm install` for
you.
## Creating a MySQL data source
Use the [Data source generator](http://loopback.io/doc/en/lb3/Data-source-generator.html) to add a MySQL data source to your application.
The generator will prompt for the database server hostname, port, and other settings
required to connect to a MySQL database. It will also run the `npm install` command above for you.
For LoopBack 4 users, use the LoopBack 4
[Command-line interface](https://loopback.io/doc/en/lb4/Command-line-interface.html)
to generate a DataSource with MySQL connector to your LB4 application. Run
[`lb4 datasource`](https://loopback.io/doc/en/lb4/DataSource-generator.html), it
will prompt for configurations such as host, post, etc. that are required to
connect to a MySQL database.
After setting it up, the configuration can be found under
`src/datasources/<DataSourceName>.datasource.ts`, which would look like this:
```ts
const config = {
name: 'db',
connector: 'mysql',
url: '',
host: 'localhost',
port: 3306,
user: 'user',
password: 'pass',
database: 'testdb',
};
```
<details><summary markdown="span"><strong>For LoopBack 3 users</strong></summary>
Use
the [Data source generator](http://loopback.io/doc/en/lb3/Data-source-generator.html) to
add a MySQL data source to your application.
The generator will prompt for the database server hostname, port, and other
settings required to connect to a MySQL database. It will also run the
`npm install` command above for you.
The entry in the application's `/server/datasources.json` will look like this:
@ -39,7 +69,10 @@ The entry in the application's `/server/datasources.json` will look like this:
}
```
Edit `datasources.json` to add any other additional properties that you require.
</details>
Edit `<DataSourceName>.datasources.ts` to add any other additional properties
that you require.
### Properties
@ -120,11 +153,13 @@ Edit `datasources.json` to add any other additional properties that you require.
</tbody>
</table>
**NOTE**: In addition to these properties, you can use additional parameters supported by [`node-mysql`](https://github.com/felixge/node-mysql).
**NOTE**: In addition to these properties, you can use additional parameters
supported by [`node-mysql`](https://github.com/felixge/node-mysql).
## Type mappings
See [LoopBack types](http://loopback.io/doc/en/lb3/LoopBack-types.html) for details on LoopBack's data types.
See [LoopBack types](http://loopback.io/doc/en/lb3/LoopBack-types.html) for
details on LoopBack's data types.
### LoopBack to MySQL types
@ -209,127 +244,149 @@ See [LoopBack types](http://loopback.io/doc/en/lb3/LoopBack-types.html) for de
_NOTE_ as of v3.0.0 of MySQL Connector, the following flags were introduced:
- `treatCHAR1AsString`
default `false` - treats CHAR(1) as a String instead of a Boolean
- `treatBIT1AsBit`
default `true` - treats BIT(1) as a Boolean instead of a Binary
- `treatTINYINT1AsTinyInt`
default `true` - treats TINYINT(1) as a Boolean instead of a Number
- `treatCHAR1AsString` default `false` - treats CHAR(1) as a String instead of a
Boolean
- `treatBIT1AsBit` default `true` - treats BIT(1) as a Boolean instead of a
Binary
- `treatTINYINT1AsTinyInt` default `true` - treats TINYINT(1) as a Boolean
instead of a Number
## Using the datatype field/column option with MySQL
## Data mapping properties
Use the `mysql` model property to specify additional MySQL-specific properties for a LoopBack model.
### Table/Column Names
For example:
Besides the basic LoopBack types, as we introduced above, you can also specify
additional MySQL-specific properties for a LoopBack model. It would be mapped to
the database.
{% include code-caption.html content="/common/models/model.json" %}
Use the `mysql.<property>` in the model definition or the property definition to
configure the table/column definition.
For example, the following settings would allow you to have custom table name
(`Custom_User`) and column name (`custom_id` and `custom_name`). Such mapping is
useful when you'd like to have different table/column names from the model:
{% include code-caption.html content="user.model.ts" %}
```ts
@model({
settings: { mysql: { schema: 'testdb', table: 'Custom_User'} },
})
export class User extends Entity {
@property({
type: 'number',
required: true,
id: true,
mysql: {
columnName: 'custom_id',
},
})
id: number;
@property({
type: 'string',
mysql: {
columnName: 'custom_name',
},
})
name?: string;
```
<details><summary markdown="span"><strong>For LoopBack 3 users</strong></summary>
```javascript
"locationId":{
"type":"String",
"required":true,
"length":20,
"mysql":
{
"columnName":"LOCATION_ID",
"dataType":"VARCHAR",
"dataLength":20,
"nullable":"N"
{
"name": "User",
"options": {
"mysql": {
"schema": "testdb",
"table": "Custom_User"
}
},
"properties": {
"id": {
"type": "Number",
"required": true,
"mysql": {
"columnName": "custom_id",
}
},
"name": {
"type": "String",
"mysql": {
"columnName": "custom_name",
}
},
}
}
```
You can also use the dataType column/property attribute to specify what MySQL column type to use for many loopback-datasource-juggler types. 
The following type-dataType combinations are supported:
</details>
- Number
### Numeric Types
Except the names, you can also use the dataType column/property attribute to
specify what MySQL column type to use. The following MySQL type-dataType
combinations are supported:
- number
- integer
- tinyint
- smallint
- mediumint
- int
- bigint
- float
- double
- decimal
Use the `limit` option to alter the display width. Example:
The following examples will be in LoopBack 4 style, but it's the same if you
provide `mysql.<property>` to the LB3 property definition.
```javascript
{ userName : {
type: String,
dataType: 'char',
limit: 24
}
}
```
#### Floating-point types
### Default Clause/Constant
For Float and Double data types, use the `precision` and `scale` options to
specify custom precision. Default is (16,8).
Use the `default` property to have MySQL handle setting column `DEFAULT` value.
<details><summary markdown="span"><strong>Example</strong></summary>
```javascript
"status": {
"type": "string",
"mysql": {
"default": "pending"
}
},
"number": {
"type": "number",
"mysql": {
"default": 256
}
}
```
For the date or timestamp types use `CURRENT_TIMESTAMP` or `now`:
```javascript
"last_modified": {
"type": "date",
"mysql": {
"default":"CURRENT_TIMESTAMP"
}
}
```
**NOTE**: The following column types do **NOT** supported [MySQL Default Values](https://dev.mysql.com/doc/refman/5.7/en/data-type-defaults.html):
- BLOB
- TEXT
- GEOMETRY
- JSON
### Floating-point types
For Float and Double data types, use the `precision` and `scale` options to specify custom precision. Default is (16,8). For example:
```javascript
{ average :
{ type: Number,
```ts
@property({
type: 'Number',
mysql: {
dataType: 'float',
precision: 20,
scale: 4
}
}
})
price: Number;
```
### Fixed-point exact value types
</details>
For Decimal and Numeric types, use the `precision` and `scale` options to specify custom precision. Default is (9,2).
These aren't likely to function as true fixed-point.
#### Fixed-point exact value types
Example:
For Decimal and Numeric types, use the `precision` and `scale` options to
specify custom precision. Default is (9,2). These aren't likely to function as
true fixed-point.
```javascript
{ stdDev :
{ type: Number,
<details><summary markdown="span"><strong>Example</strong></summary>
```ts
@property({
type: 'Number',
mysql: {
dataType: 'decimal',
precision: 12,
scale: 8
}
}
})
price: Number;
```
### Other types
</details>
### Text types
Convert String / DataSource.Text / DataSource.JSON to the following MySQL types:
@ -340,190 +397,447 @@ Convert String / DataSource.Text / DataSource.JSON to the following MySQL types:
- tinytext
- longtext
Example:
<details><summary markdown="span"><strong>Example</strong></summary>
```javascript
{ userName :
{ type: String,
```ts
@property({
type: 'String',
mysql: {
dataType: 'char',
limit: 24
}
}
dataLength: 24 // limits the property length
},
})
userName: String;
```
Example:
</details>
```javascript
{ biography :
{ type: String,
dataType: 'longtext'
}
}
### Dat types
Convert JSON Date types to datetime or timestamp.
<details><summary markdown="span"><strong>Example</strong></summary>
```ts
@property({
type: 'Date',
mysql: {
dataType: 'timestamp',
},
})
startTime: Date;
```
Convert JSON Date types to  datetime or timestamp
Example:
```javascript
{ startTime :
{ type: Date,
dataType: 'timestamp'
}
}
```
</details>
### Enum
Enums are special. Create an Enum using Enum factory:
```javascript
var MOOD = dataSource.EnumFactory('glad', 'sad', 'mad'); 
MOOD.SAD; // 'sad' 
MOOD(2); // 'sad' 
MOOD('SAD'); // 'sad' 
```ts
const MOOD = dataSource.EnumFactory('glad', 'sad', 'mad');
MOOD.SAD; // 'sad'
MOOD(2); // 'sad'
MOOD('SAD'); // 'sad'
MOOD('sad'); // 'sad'
{ mood: { type: MOOD }}
{ choice: { type: dataSource.EnumFactory('yes', 'no', 'maybe'), null: false }}
export class User extends Entity {
//..
@property({
type: MOOD,
})
mood: MOOD;
}
```
### Default Clause/Constant
Use the `default` property to have MySQL handle setting column `DEFAULT` value.
<details><summary markdown="span"><strong>Example</strong></summary>
```ts
@property({
type: 'String',
mysql: {
default: 'pending'
}
})
status: String;
@property({
type: 'Number',
mysql: {
default: 42
}
})
maxDays: Number;
```
</details>
For the date or timestamp types use `CURRENT_TIMESTAMP` or `now`.
<details><summary markdown="span"><strong>Example</strong></summary>
```ts
@property({
type: 'Date',
mysql: {
default: 'CURRENT_TIMESTAMP'
}
})
last_modified: Date;
```
</details>
**NOTE**: The following column types do **NOT** supported
[MySQL Default Values](https://dev.mysql.com/doc/refman/5.7/en/data-type-defaults.html):
- BLOB
- TEXT
- GEOMETRY
- JSON
## Discovery and auto-migration
### Model discovery
The MySQL connector supports _model discovery_ that enables you to create LoopBack models
based on an existing database schema using the unified [database discovery API](http://apidocs.strongloop.com/loopback-datasource-juggler/#datasource-prototype-discoverandbuildmodels). For more information on discovery, see [Discovering models from relational databases](https://loopback.io/doc/en/lb3/Discovering-models-from-relational-databases.html).
The MySQL connector supports _model discovery_ that enables you to create
LoopBack models based on an existing database schema. Once you defined your
datasource:
- LoopBack 4 users could use the commend
[`lb4 discover`](https://loopback.io/doc/en/lb4/Discovering-models.html) to
discover models.
- For LB3 users, please check
[Discovering models from relational databases](https://loopback.io/doc/en/lb3/Discovering-models-from-relational-databases.html).
(See
[database discovery API](http://apidocs.strongloop.com/loopback-datasource-juggler/#datasource-prototype-discoverandbuildmodels)
for related APIs information)
### Auto-migration
The MySQL connector also supports _auto-migration_ that enables you to create a database schema
from LoopBack models using the [LoopBack automigrate method](http://apidocs.strongloop.com/loopback-datasource-juggler/#datasource-prototype-automigrate).
The MySQL connector also supports _auto-migration_ that enables you to create a
database schema from LoopBack models. For example, based on the following model,
the auto-migration method would create/alter existing `Customer` table in the
database. Table `Customer` would have two columns: `name` and `id`, where `id`
is also the primary key that has `auto_increment` set as it has definition of
`type: 'Number'` and `generated: true`:
For more information on auto-migration, see [Creating a database schema from models](https://loopback.io/doc/en/lb3/Creating-a-database-schema-from-models.html) for more information.
```ts
@model()
export class Customer extends Entity {
@property({
id: true,
type: 'Number',
generated: true,
})
id: number;
@property({
type: 'string',
})
name: string;
}
```
Moreover, additional MySQL-specific properties mentioned in the
[Data mapping properties](#data-mapping-properties) section work with
auto-migration as well.
#### Auto-generated ids
For now LoopBack MySQL connector only supports auto-generated id
(`generated: true`) for integer type as for MySQL, the default id type is
_integer_. If you'd like to use other types such as string (uuid) as the id
type, you can:
- use uuid that is **generated by your LB application** by setting
[`defaultFn: uuid`](https://loopback.io/doc/en/lb4/Model.html#property-decorator).
```ts
@property({
id: true,
type: 'string'
defaultFn: 'uuidv4',
// generated: true, -> not needed
})
id: string;
```
- Alter the table in your database to use a certain function if you prefer
having **the database to generate the value**.
```ts
@property({
id: true,
type: 'string'
generated: true, // to indicate the value generates by the db
useDefaultIdType: false, // needed
})
id: string;
```
#### Auto-migrate/Auto-update models with foreign keys
MySQL handles the foreign key integrity of the related models upon auto-migrate or auto-update operation. It first deletes any related models before calling delete on the models with the relationship.
Foreign key constraints can be defined in the model definition.
Example:
**Note**: The order of table creation is important. A referenced table must
exist before creating a foreign key constraint.
Define your models and the foreign key constraints as follows:
{% include code-caption.html content="customer.model.ts" %}
```ts
@model()
export class Customer extends Entity {
@property({
id: true,
type: 'Number',
generated: true,
})
id: number;
@property({
type: 'string',
})
name: string;
}
```
`order.model.ts`:
```ts
@model({
settings: {
foreignKeys: {
fk_order_customerId: {
name: 'fk_order_customerId',
entity: 'Customer',
entityKey: 'id',
foreignKey: 'customerId',
},
},
})
export class Order extends Entity {
@property({
id: true,
type: 'Number',
generated: true
})
id: number;
@property({
type: 'string'
})
name: string;
@property({
type: 'Number'
})
customerId: number;
}
```
<details><summary markdown="span"><strong>For LoopBack 3 users</strong></summary>
```json
({
"name": "Customer",
"options": {
"idInjection": false
},
"properties": {
"id": {
"type": "Number",
"id": 1
},
"name": {
"type": "String",
"required": false
}
}
},
{
"name": "Order",
"options": {
"idInjection": false,
"foreignKeys": {
"fk_order_customerId": {
"name": "fk_order_customerId",
"entity": "Customer",
"entityKey": "id",
"foreignKey": "customerId"
}
}
},
"properties": {
"id": {
"type": "Number"
"id": 1
},
"customerId": {
"type": "Number"
},
"description": {
"type": "String",
"required": false
}
}
})
```
</details>
MySQL handles the foreign key integrity by the referential action specified by
`ON UPDATE` and `ON DELETE`. You can specify which referential actions the
foreign key follows in the model definition upon auto-migrate or auto-update
operation. Both `onDelete` and `onUpdate` default to `restrict`.
Take the example we showed above, let's add the referential action to the
foreign key `customerId`:
```ts
@model({
settings: {
foreignKeys: {
fk_order_customerId: {
name: 'fk_order_customerId',
entity: 'Customer',
entityKey: 'id',
foreignKey: 'customerId',
onUpdate: 'restrict', // restrict|cascade|set null|no action|set default
onDelete: 'cascade' // restrict|cascade|set null|no action|set default
},
},
})
export class Order extends Entity {
...
```
<details><summary markdown="span"><strong>For LoopBack 3 users</strong></summary>
**model-definiton.json**
```json
{
"name": "Book",
"base": "PersistedModel",
"idInjection": false,
"name": "Customer",
"options": {
"idInjection": false
},
"properties": {
"bId": {
"type": "number",
"id": true,
"required": true
"id": {
"type": "Number",
"id": 1
},
"name": {
"type": "string"
},
"isbn": {
"type": "string"
}
},
"validations": [],
"relations": {
"author": {
"type": "belongsTo",
"model": "Author",
"foreignKey": "authorId"
}
},
"acls": [],
"methods": {},
"foreignKeys": {
"authorId": {
"name": "authorId",
"foreignKey": "authorId",
"entityKey": "aId",
"entity": "Author",
"onUpdate": "restrict",
"onDelete": "restrict"
"type": "String",
"required": false
}
}
}
```
```json
},
{
"name": "Author",
"base": "PersistedModel",
"idInjection": false,
"properties": {
"aId": {
"type": "number",
"id": true,
"required": true
},
"name": {
"type": "string"
},
"dob": {
"type": "date"
"name": "Order",
"options": {
"idInjection": false,
"foreignKeys": {
"fk_order_customerId": {
"name": "fk_order_customerId",
"entity": "Customer",
"entityKey": "id",
"foreignKey": "customerId",
"onUpdate": "restrict",
"onDelete": "cascade"
}
}
},
"validations": [],
"relations": {},
"acls": [],
"methods": {}
"properties": {
"id": {
"type": "Number"
"id": 1
},
"customerId": {
"type": "Number"
},
"description": {
"type": "String",
"required": false
}
}
}
```
**boot-script.js**
```js
module.exports = function(app) {
module.exports = function (app) {
var mysqlDs = app.dataSources.mysqlDS;
var Book = app.models.Book;
var Author = app.models.Author;
var Book = app.models.Order;
var Author = app.models.Customer;
// first autoupdate the `Author` model to avoid foreign key constraint failure
mysqlDs.autoupdate('Author', function(err) {
// first autoupdate the `Customer` model to avoid foreign key constraint failure
mysqlDs.autoupdate('Customer', function (err) {
if (err) throw err;
console.log('\nAutoupdated table `Author`.');
console.log('\nAutoupdated table `Customer`.');
mysqlDs.autoupdate('Book', function(err) {
mysqlDs.autoupdate('Order', function (err) {
if (err) throw err;
console.log('\nAutoupdated table `Book`.');
// at this point the database table `Book` should have one foreign key `authorId` integrated
console.log('\nAutoupdated table `Order`.');
// at this point the database table `Order` should have one foreign key `customerId` integrated
});
});
};
```
</details>
#### Breaking Changes with GeoPoint since 5.x
Prior to `loopback-connector-mysql@5.x`, MySQL connector was saving and loading GeoPoint properties from the MySQL database in reverse.
MySQL expects values to be POINT(X, Y) or POINT(lng, lat), but the connector was saving them in the opposite order(i.e. POINT(lat,lng)).
If you have an application with a model that has a GeoPoint property using previous versions of this connector, you can migrate your models
using the following programmatic approach:
**NOTE** Please back up the database tables that have your application data before performing any of the steps.
Prior to `loopback-connector-mysql@5.x`, MySQL connector was saving and loading
GeoPoint properties from the MySQL database in reverse. MySQL expects values to
be `POINT(X, Y)` or `POINT(lng, lat)`, but the connector was saving them in the
opposite order(i.e. `POINT(lat,lng)`).
Use the `geopoint` type to achieve so:
```ts
@property({
type: 'geopoint'
})
name: GeoPoint;
```
If you have an application with a model that has a GeoPoint property using
previous versions of this connector, you can migrate your models using the
following programmatic approach:
<details><summary markdown="span"><strong>Click here to expend</strong></summary>
**NOTE** Please back up the database tables that have your application data
before performing any of the steps.
1. Create a boot script under `server/boot/` directory with the following:
```js
'use strict';
module.exports = function(app) {
module.exports = function (app) {
function findAndUpdate() {
var teashop = app.models.teashop;
//find all instances of the model we'd like to migrate
teashop.find({}, function(err, teashops) {
teashops.forEach(function(teashopInstance) {
teashop.find({}, function (err, teashops) {
teashops.forEach(function (teashopInstance) {
//what we fetch back from the db is wrong, so need to revert it here
var newLocation = {
lng: teashopInstance.location.lat,
lat: teashopInstance.location.lng
lat: teashopInstance.location.lng,
};
//only update the GeoPoint property for the model
teashopInstance.updateAttribute('location', newLocation, function(
teashopInstance.updateAttribute('location', newLocation, function (
err,
inst
inst,
) {
if (err) console.log('update attribute failed', err);
else console.log('updateAttribute successful');
@ -564,11 +878,14 @@ For the above example, the model definition is as follows:
}
```
</details>
## Running tests
### Own instance
If you have a local or remote MySQL instance and would like to use that to run the test suite, use the following command:
If you have a local or remote MySQL instance and would like to use that to run
the test suite, use the following command:
- Linux
@ -584,15 +901,20 @@ SET MYSQL_HOST=<HOST> SET MYSQL_PORT=<PORT> SET MYSQL_USER=<USER> SET MYSQL_PASS
### Docker
If you do not have a local MySQL instance, you can also run the test suite with very minimal requirements.
If you do not have a local MySQL instance, you can also run the test suite with
very minimal requirements.
- Assuming you have [Docker](https://docs.docker.com/engine/installation/) installed, run the following script which would spawn a MySQL instance on your local:
- Assuming you have [Docker](https://docs.docker.com/engine/installation/)
installed, run the following script which would spawn a MySQL instance on your
local:
```bash
source setup.sh <HOST> <PORT> <USER> <PASSWORD> <DATABASE>
```
where `<HOST>`, `<PORT>`, `<USER>`, `<PASSWORD>` and `<DATABASE>` are optional parameters. The default values are `localhost`, `3306`, `root`, `pass` and `testdb` respectively.
where `<HOST>`, `<PORT>`, `<USER>`, `<PASSWORD>` and `<DATABASE>` are optional
parameters. The default values are `localhost`, `3306`, `root`, `pass` and
`testdb` respectively.
- Run the test: