Migrations
Migration files should look like this:
import { Kysely } from 'kysely'
export async function up(db: Kysely<any>): Promise<void> {
// Migration code
}
export async function down(db: Kysely<any>): Promise<void> {
// Migration code
}
The up function is called when you update your database schema to the next version and down when you go back to previous version. The only argument for the functions is an instance of Kysely<any>
. It's important to use Kysely<any>
and not Kysely<YourDatabase>
.
Migrations should never depend on the current code of your app because they need to work even when the app changes. Migrations need to be "frozen in time".
Migrations can use the Kysely.schema
module to modify the schema. Migrations can also run normal queries to modify data.
Execution order
There are two options for ordering migrations in Kysely: strict and permissive. Both options are based on the alphanumeric ordering of the migration name. In either case, an excellent way to name your migrations is to prefix them with an ISO 8601 date string.
Strict ordering (the default) will give an error if the alphanumeric order of your migration files does not match the execution order of them in the database. This adds safety by always executing your migrations in the correct, alphanumeric order.
Permissive ordering will allow new migrations to be run even if they are added alphabetically before ones that have already executed. Permissive ordering works well in large teams where multiple team members may add migrations at the same time in parallel commits without knowing about the other migrations. Permissive ordering will run pending (unexecuted) migrations in order when migrating up. When migrating down, migrations will be undone in the opposite order in which they were executed (reverse sorted by execution timestamp).
To use permissive ordering, pass the migrationOrder
option to Migrator:
const migrator = new Migrator({
db,
provider: new FileMigrationProvider(...),
migrationOrder: 'permissive'
})
Single file vs multiple file migrations
You don't need to store your migrations as separate files if you don't want to. You can easily implement your own MigrationProvider and give it to the Migrator class when you instantiate one.
PostgreSQL migration example
import { Kysely, sql } from 'kysely'
export async function up(db: Kysely<any>): Promise<void> {
await db.schema
.createTable('person')
.addColumn('id', 'serial', (col) => col.primaryKey())
.addColumn('first_name', 'varchar', (col) => col.notNull())
.addColumn('last_name', 'varchar')
.addColumn('gender', 'varchar(50)', (col) => col.notNull())
.addColumn('created_at', 'timestamp', (col) =>
col.defaultTo(sql`now()`).notNull()
)
.execute()
await db.schema
.createTable('pet')
.addColumn('id', 'serial', (col) => col.primaryKey())
.addColumn('name', 'varchar', (col) => col.notNull().unique())
.addColumn('owner_id', 'integer', (col) =>
col.references('person.id').onDelete('cascade').notNull()
)
.addColumn('species', 'varchar', (col) => col.notNull())
.execute()
await db.schema
.createIndex('pet_owner_id_index')
.on('pet')
.column('owner_id')
.execute()
}
export async function down(db: Kysely<any>): Promise<void> {
await db.schema.dropTable('pet').execute()
await db.schema.dropTable('person').execute()
}
SQLite migration example
import { Kysely, sql } from 'kysely'
export async function up(db: Kysely<any>): Promise<void> {
await db.schema
.createTable('person')
.addColumn('id', 'integer', (col) => col.primaryKey())
.addColumn('first_name', 'text', (col) => col.notNull())
.addColumn('last_name', 'text')
.addColumn('gender', 'text', (col) => col.notNull())
.addColumn('created_at', 'text', (col) =>
col.defaultTo(sql`CURRENT_TIMESTAMP`).notNull()
)
.execute()
await db.schema
.createTable('pet')
.addColumn('id', 'integer', (col) => col.primaryKey())
.addColumn('name', 'text', (col) => col.notNull().unique())
.addColumn('owner_id', 'integer', (col) =>
col.references('person.id').onDelete('cascade').notNull()
)
.addColumn('species', 'text', (col) => col.notNull())
.execute()
await db.schema
.createIndex('pet_owner_id_index')
.on('pet')
.column('owner_id')
.execute()
}
export async function down(db: Kysely<any>): Promise<void> {
await db.schema.dropTable('pet').execute()
await db.schema.dropTable('person').execute()
}
Running migrations
You can then use
const migrator = new Migrator(migratorConfig)
await migrator.migrateToLatest(pathToMigrationsFolder)
to run all migrations that have not yet been run. See the Migrator class's documentation for more info.
Kysely doesn't have a CLI for running migrations and probably never will. This is because Kysely's migrations are also written in TypeScript. To run the migrations, you need to first build the TypeScript code into JavaScript. A CLI would cause confusion over which migrations are being run, the TypeScript ones or the JavaScript ones. If we added support for both, the CLI would need to depend on a TypeScript compiler, which most production environments don't (and shouldn't) have. You will probably want to add a simple migration script to your projects like this:
import * as path from 'path'
import { Pool } from 'pg'
import { promises as fs } from 'fs'
import {
Kysely,
Migrator,
PostgresDialect,
FileMigrationProvider,
} from 'kysely'
async function migrateToLatest() {
const db = new Kysely<Database>({
dialect: new PostgresDialect({
pool: new Pool({
host: 'localhost',
database: 'kysely_test',
}),
}),
})
const migrator = new Migrator({
db,
provider: new FileMigrationProvider({
fs,
path,
// This needs to be an absolute path.
migrationFolder: path.join(__dirname, 'some/path/to/migrations'),
}),
})
const { error, results } = await migrator.migrateToLatest()
results?.forEach((it) => {
if (it.status === 'Success') {
console.log(`migration "${it.migrationName}" was executed successfully`)
} else if (it.status === 'Error') {
console.error(`failed to execute migration "${it.migrationName}"`)
}
})
if (error) {
console.error('failed to migrate')
console.error(error)
process.exit(1)
}
await db.destroy()
}
migrateToLatest()
The migration methods use a lock on the database level and parallel calls are executed serially. This means that you can safely call migrateToLatest and other migration methods from multiple server instances simultaneously and the migrations are guaranteed to only be executed once. The locks are also automatically released if the migration process crashes or the connection to the database fails.