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https://github.com/budiadiono/sqlite-ts

SQLite ORM for Typescript
https://github.com/budiadiono/sqlite-ts

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SQLite ORM for Typescript

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README

        

# SQLITE-TS

SQLite ORM for Typescript

## Installation

Using npm:

```
npm i -S sqlite-ts
```

or yarn:

```
yarn add sqlite-ts
```

## Usage

It's easy!

### Define Entities

```ts
import { Column, Primary } from 'sqlite-ts'

class Person {
@Primary()
id: number = 0

@Column('NVARCHAR')
name: string = ''

@Column('DATETIME')
dob: Date = new Date()

@Column('INTEGER')
age: number = 0

@Column('BOOLEAN')
married: boolean = false

@Column('MONEY')
salary: number = 0
}

class Address {
@Primary()
id: number = 0

@Column('INTEGER')
person: number = 0

@Column('NVARCHAR')
address: string = ''
}
```

### Connect to Database

```ts
// let's use sqlite3 from https://github.com/mapbox/node-sqlite3
import Sqlite3 = require('sqlite3')

// define entities object
const entities = {
Person,
Address
}

// make a connection using SQLite3.
// you can use other available drivers
// or create your own
const sqlite3Db = new sqlite.Database(':memory:')
const db = await Db.init({
// set the driver
driver: new SQLite3Driver(sqlite3Db),

// set your entities here
entities,

// set `true` so all tables in entities will automatically created for you
// if it does not exists yet in database
createTables: false
})
```

### Working with Entities

From now to work with entities you can access your entities via `db.tables.[entity name].[action function]`.

#### Create

For example to create table you can simply do this:

```ts
await db.tables.Person.create()
await db.tables.Address.create()
```

or

```ts
await db.createAllTables()
```

#### Insert

```ts
// insert single data
const result = await db.tables.Person.insert({
name: 'Joey',
married: true,
dob: new Date(2000, 1, 1, 0, 0, 0),
age: 18,
salary: 100
})
```

The `Person` entity is using default primary key which is `INTEGER` that is autogenerated.
You can get inserted primary key value from the `result` of `insert` action above that returns:

```ts
{
insertId: 1, // generated primary key
rowsAffected: 1 // number of created data
}
```

You may want to insert multiple data at once like so:

```ts
// insert multiple data at once
const results = await db.tables.Person.insert([
{
name: 'Hanna',
married: false,
dob: new Date(2001, 2, 2, 0, 0, 0),
age: 17,
salary: 100
},
{
name: 'Mary',
married: false,
dob: new Date(2002, 3, 3, 0, 0, 0),
age: 26,
salary: 50
}
])
```

But you can't get advantage of getting the generated primary keys for inserted data.
Because the `results` only returns the last generated primary key:

```ts
{
insertId: 3, // latest generated primary key
rowsAffected: 2 // number of created data
}
```

If you have multiple action that you want to execute under `BEGIN` and `COMMIT` statement,
you can use transaction to do this:

```ts
await db.transaction(({ exec, tables }) => {
exec(
tables.Address.insert({
person: 1,
address: `Joy's Home`
})
)
exec(
tables.Address.insert({
person: 2,
address: `Hanna's Home`
})
)
exec(
tables.Address.insert({
person: 3,
address: `Marry's Home`
})
)
})
```

Need to get inserted generated primary key under transaction? Simply do this instead:

```ts
let address1: any
let address2: any
let address3: any
await db.transaction(({ exec, tables }) => {
exec(
tables.Address.insert({
person: 1,
address: `Joy's Home`
})
).then(r => {
address1 = r
})

exec(
tables.Address.insert({
person: 2,
address: `Hanna's Home`
})
).then(r => {
address2 = r
})

exec(
tables.Address.insert({
person: 3,
address: `Marry's Home`
})
).then(r => {
address3 = r
})
})
```

The actions above should returns:

```ts
// address1:
{
insertId: 1,
rowsAffected: 1
}

// address2:
{
insertId: 2,
rowsAffected: 1
}

// address3:
{
insertId: 1,
rowsAffected: 1
}
```

You can also do same things for `upsert`, `update`, `delete`, `create` and `drop` action.

#### Select

##### Select All

```ts
// select all
const people = await db.tables.Person.select()
```

returns:

```
[
{ id: 1,
name: 'Joey',
dob: 2000-01-31T17:00:00.000Z,
age: 18,
married: true,
salary: 100
},
{ id: 2,
name: 'Hanna',
dob: 2001-03-01T17:00:00.000Z,
age: 17,
married: false,
salary: 100
},
{ id: 3,
name: 'Mary',
dob: 2002-04-02T17:00:00.000Z,
age: 26,
married: false,
salary: 50
}
]
```

##### Select Columns

```ts
// select columns
const people2 = await db.tables.Person.select(c => [c.id, c.name, c.salary])
```

returns:

```
[
{ id: 1, name: 'Joey', salary: 100 },
{ id: 2, name: 'Hanna', salary: 100 },
{ id: 3, name: 'Mary', salary: 50 }
]
```

##### Select Limit

```ts
// select with limit
const people3 = await db.tables.Person.select(c => [
c.id,
c.name,
c.salary
]).limit(1)
```

returns:

```
[{ id: 1, name: 'Joey', salary: 100 }]
```

##### Select Where

```ts
// select with condition
const people4 = await db.tables.Person.select(c => [c.id, c.name]).where(c =>
c.greaterThanOrEqual({ salary: 100 })
)
```

returns:

```
[ { id: 1, name: 'Joey' }, { id: 2, name: 'Hanna' } ]
```

##### Select Order

```ts
// select with order
const people5 = await db.tables.Person.select(c => [c.id, c.name])
.where(c => c.notEquals({ married: true }))
.orderBy({ name: 'DESC' })
```

returns:

```
[ { id: 3, name: 'Mary' }, { id: 2, name: 'Hanna' } ]
```

##### Select Single Data

```ts
// select single data
const person = await db.tables.Person.single(c => [c.id, c.name])
```

returns:

```
{ id: 1, name: 'Joey' }
```

For the rest, you can play around with editor intellisense to get more options.

#### Update

```ts
// let's prove that she's not married yet
let hanna = await db.tables.Person.single(c => [c.id, c.name, c.married]).where(
c => c.equals({ id: 2 })
)
// returns:
// hanna is not married yet = { id: 2, name: 'Hanna', married: false }

// let's marry her
await db.tables.Person.update({ married: true }).where(c => c.equals({ id: 2 }))

hanna = await db.tables.Person.single(c => [c.id, c.name, c.married]).where(c =>
c.equals({ id: 2 })
)
// returns:
// hanna is now married = { id: 2, name: 'Hanna', married: true }
```

#### Join

```ts
const people6 = await db.tables.Person.join(
t => ({
// FROM Person AS self JOIN Address AS address
address: t.Address
}),
(p, { address }) => {
// ON self.id = address.person
p.equal({ id: address.person })
}
).map(f => ({
// SELECT self.id AS id, self.name AS name, address.address AS address
id: f.self.id,
name: f.self.name,
address: f.address.address
}))
```

results:

```
[
{ id: 1, name: 'Joey', address: "Joy's Home" },
{ id: 2, name: 'Hanna', address: "Hanna's Home" },
{ id: 3, name: 'Mary', address: "Marry's Home" }
]
```

You can follow the `join` action with `where`, `limit` and `orderBy` as well:

```ts
// join where order and limit
const people7 = await db.tables.Person.join(
t => ({
// FROM Person AS self JOIN Address AS address
address: t.Address
}),
(p, { address }) => {
// ON self.id = address.person
p.equal({ id: address.person })
}
)
.map(f => ({
// SELECT self.id AS id, self.name AS name, address.address AS address
id: f.self.id,
name: f.self.name,
address: f.address.address
}))
// WHERE self.married = 1
.where(p => p.self.equals({ married: true }))
// ORDER BY address.address ASC
.orderBy({ address: { address: 'ASC' } })
// LIMIT 1
.limit(1)
```

result:

```
[{ id: 2, name: 'Hanna', address: "Hanna's Home" }]
```

#### Delete

```ts
// delete
const delResult = await db.tables.Person.delete().where(c =>
c.equals({ id: 3 })
)
```

result:

```
{
insertId: 3,
rowsAffected: 1
}
```

You can put `delete` action under `transaction`.

#### Drop

```ts
// drop
await db.tables.Address.drop()

// or drop inside transaction
await db.transaction(({ exec, tables }) => {
exec(tables.Address.drop())
exec(tables.Person.drop())
})

// or drop all tables
await db.dropAllTables()
```

## License

MIT