Database Migrations with Lucid ORM
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I am rewriting an old web application to use AdonisJS. In my last post, I discussed some features of AdonisJS and initialized a new application. In today’s post, I will discuss my first foray into using database migrations with Lucid ORM.
The Problem
Over the years, as I added new features or needed to accommodate new rules, I often had to make database changes that were less than ideal or overly complex. With this rewrite, I will correct some of those issues and move the data to a new database. With 15+ years of data, this could be a daunting task, but I am sure I can make it work.
The Solution
Fortunately, Lucid ORM, a project built on top of Knex and managed by the AdonisJS group, offers database migrations. Database migrations are a process of tracking and managing database changes. In the new application, these will be written in TypeScript and managed via the command line.
Creating a Migration
In my application, the top-level object is a league
. Almost every bit of data is tied to a league in one way or another. This table seemed like a logical place to start, not only because I can’t do anything else without a league but because the league
table is pretty simple.
This brings us to the first ‘What was I thinking?’ moment. When I started writing the application, I had not thought of any other league using the software. However, I had a few people reach out to me about using the software for their leagues. I had columns in the database to the file location of a header graphic because I (incorrectly) thought it would be a good idea for each league to have its look and feel - including a header graphic (News Flash: It wasn’t). Each league could also have its own domain (and domain used for development) - which was also stored in the database. Because each league could have its own look and feel, I also stored the name of the CSS file to use for the league.
I have decided to eliminate the ability for each league to style its own site. It was difficult to set up and even more difficult to manage. So, the league
table is getting pared down to just a few columns: id
, name
, enabled
, created_at
, updated_at
, and current_season_id
.
To create a migration, we use a command with the following syntax:
node ace make:migration {table name}
The command to create the league
table is:
node ace make:migration league
This command will create a file in the database/migrations
folder at the root of the project. The file name will include a timestamp with the table’s name. Here is the file that was created for my league
table.
Knicker Twisting Time
In my first post, I pointed out that AdonisJS considers itself to be ‘opinionated’, and sometimes this got my knickers in a twist. Well, creating the migration file was the first time that happened.
Can you see what caused me such angst? Look again…
I used league
in the command, but the file name includes leagues
.
Now, people prefer to name things in different ways - not just in databases, but variables, functions, etc. I like singular table names, but others prefer plural ones. What I don’t get is why the AdonisJS folks went out of their way to force people to use plural names for database objects (as we will see shortly, it is not just in the file name this is done).
At the very least, this command should have used the name I gave it and not changed it. For model objects, there is a way you can specify a naming strategy (more on that in a future post), but I could not find a way to force migrations to use the singular form instead of the plural form. This forced naming strategy bothered me so much that I almost abandoned using AdonisJS. After some soul-searching, I realized it was not that big of a deal and easily corrected it.
Migration File Content
When we open a newly created migration file, we will see the following code:
import { BaseSchema } from '@adonisjs/lucid/schema'
export default class extends BaseSchema {
protected tableName = 'leagues'
async up() {
this.schema.createTable(this.tableName, (table) => {
table.increments('id')
table.timestamp('created_at')
table.timestamp('updated_at')
})
}
async down() {
this.schema.dropTable(this.tableName)
}
}
Lets breakdown this file a little bit at a time.
First, this part made me all twitchy…
protected tableName = 'leagues'
As you can see, AdonisJS took it upon itself to change the table’s name to the plural version. It was easy enough to change it to the singular form.
Next, we see a function named up()
.
async up() {
this.schema.createTable(this.tableName, (table) => {
table.increments('id')
table.timestamp('created_at')
table.timestamp('updated_at')
})
}
This function defines the table using Lucid’s schema builder API. As we can see, it creates three columns for us - id
, created_at
, and updated_at
. To define the table structure I want for the new league
table, I modify this function to look like the following:
async up() {
this.schema.createTable(this.tableName, (table) => {
table.increments('id')
table.string('name', 50).notNullable()
table.boolean('enabled').defaultTo(true)
table.timestamps(true, true)
})
}
We added two columns, name
and enabled
. The name
column will be a varchar(50)
and not nullable. The enabled
column will be created as a tinyint(1)
data type and default to true
.
We also added a shortcut for specifying the created_at
and updated_at
columns. These two columns will be created using table.timestamps()
. Making the first argument true
will use the data type timestamp
instead of datetime
. Using true
for the second argument will set the default value of each of these columns to CURRENT_TIMESTAMP
.
The second function on this page is called down()
. The generated code includes a call to drop the table. For now, we do not need to change this function.
public async down () {
this.schema.dropTable(this.tableName)
}
Running a Migration
To run this migration, we use the command:
node ace migration:run
When we run migrations, the code in the up()
function is executed.
The output from this command will resemble:
[ info ] Upgrading migrations version from "1" to "2"
❯ migrated database/migrations/1720368972662_create_leagues_table
Migrated in 123 ms
If we look at our database structure, we will see that there are now three tables:
Lucid uses two of the created tables to track what migrations have been run and what version the schema is at.
Look at the structure of the league
table and see how the columns match up to our code above.
Since defining the league
table was relatively easy, I decided to also add a migration for the season
table. Each league can have multiple seasons, each with its own set of rules and configuration data.
Here are the contents of the migration file for the season
table.
import { BaseSchema } from '@adonisjs/lucid/schema'
export default class extends BaseSchema {
protected tableName = 'season'
public async up () {
this.schema.createTable(this.tableName, (table) => {
table.increments('id')
table.string('name', 50).notNullable()
table.text('rules')
table.integer('league_id').unsigned().notNullable().references('id').inTable('league').onDelete('CASCADE')
table.date('start_date')
table.boolean('rules_published').defaultTo(false)
table.integer('scoring_id').notNullable()
table.boolean('registration_open').notNullable()
table.string('registration_token', 50).notNullable()
table.boolean('is_current_season').defaultTo(false)
table.json('settings').notNullable()
table.timestamps(true, true)
})
this.schema.alterTable('league', (table) =>{
table.integer('current_season_id').unsigned().references('id').inTable('season')
})
}
public async down () {
this.schema.dropTable(this.tableName)
}
}
In the up()
function, we created the season
table, but we also added a new column named current_season_id
to the league
table and defined a foreign key relation to the id
column of the season
table.
Rolling Back Migrations
There may come a time when you need to roll back a migration. When we roll back a migration, the code in the down()
function is executed. To roll back the latest batch of changes, we would run the command:
node ace migration:rollback
You may want to avoid rolling back migrations in production as they might have unwanted effects. For example, we are dropping the table in the down()
function for our league
table. We can all agree that dropping tables in production is not a very good idea.
Wrap Up
Database migrations are a powerful tool for developers to track and manage database schema changes. Lucid ORM uses APIs to allow us to create tables and define columns - including foreign key relationships. If you head on over to the Lucid ORM documentation you can find more detailed information about migrations and the schema builder and table builder APIs.