Package Exports
- sqlite-ts
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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
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
// 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:
await db.tables.Person.create()
await db.tables.Address.create()
or
await db.createAllTables()
Insert
// 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:
{
insertId: 1, // generated primary key
rowsAffected: 1 // number of created data
}
You may want to insert multiple data at once like so:
// 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:
{
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:
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:
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:
// 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
// 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
// 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
// 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
// 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
// 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
// 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
// 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
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:
// 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
// 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
// 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