An appwrite database migration tool with the goal of making schema and data changes across environments easier and more predictable.
We strongly recommend reading through the entire README, paying close attention to Setting-up and Recommendations sections!
These steps only need to be made once*.
- Create a
GitHub Repository
to host your Appwrite functions.- You can use a repository you already own (e.g.,
myproject-functions
).
- You can use a repository you already own (e.g.,
- Create
environment
branches.- For example, the
main
branch can be assigned toproduction
anddevelopment
branch can be assigned tostaging
. This allows you to have multiple Appwrite projects, using a single functions repository containing multiple serverless entrypoints. Allowing you to effectively test a function in the staging project, before deploying the changes to the production project.
- For example, the
These steps need to be done per project that represents an application environment in which you want to use the Appwrite Database Migration Tool.
Appwrite serverless functions require access to the source code that they need to execute. The source
is defined in Git repositories. Setups vary from team to team. Some choose to have one repository
per serverless function (isolation), while others prefer a single repository with a single package.json
for all functions (agility, low maintenance cost), others still, prefer a Monorepository structure
with all functions in a single repository but each with its own package.json
(agility, isolation,
with higher upfront setup cost). No matter the strategy you must associate the source repository
with Appwrite serverless functions.
Creates a collection (defaults to
Migration
) which acts as the source of truth for migrations that have been applied or not.
Create an Appwrite Function called MigrationsCreateCollection
with the body below. The function
should point at the branch that contains the source for the "environment". E.g.: Point at the
development
branch on the staging
project and point to main
in the production
project.
import { migrationsCreateCollection } from '@franciscokloganb/appwrite-database-migration-tool'
export default async function(ctx) {
await migrationsCreateCollection({
log: ctx.log,
error: ctx.error,
})
return ctx.res.empty();
}
Retrieves all migrations, picks the pending (unapplied) migration (if exists) and executes the up method.
Create an Appwrite Function called MigrationsRunSequence
with the body below. The function
should point at the branch that contains the source for the "environment".
-
We recommend increase the maximum timeout for this function to 15m in the function settings.
-
Ensure the migration files created in the future are included in the final function bundle.
- An example on what this means is given on FAQ section.
import { migrationsRunSequence } from '@franciscokloganb/appwrite-database-migration-tool' export default async function(ctx) { await migrationsRunSequence({ log: ctx.log, error: ctx.error, }) return ctx.res.empty(); }
Retrieves all migrations, picks the last applied migration (if exists) and executes the down method.
Create an Appwrite Function called MigrationsOneDown
with the body below. The function
should point at the branch that contains the source for the "environment".
-
We recommend increase the maximum timeout for this function to 15m in the function settings.
-
Ensure the migration files created in the future are included in the final function bundle.
- An example on what this means is given on FAQ section.
import { migrationsRunSequence } from '@franciscokloganb/appwrite-database-migration-tool' export default async function(ctx) { await migrationsRunSequence({ log: ctx.log, error: ctx.error, }) return ctx.res.empty(); }
The functions below are optional. They exist for convinience. When used, they should be created following similar strategies to the one outlined in previous Functions section.
Creates a Database with name
and id
matching the environment variable MIGRATIONS_DATABASE_ID
,
in the default case it will create a database called Public
. If you already have a Database
and you prefer to manage the Migrations collection in it, you do not need this function.
import { migrationsCreateDatabase } from '@franciscokloganb/appwrite-database-migration-tool'
export default async function(ctx) {
await migrationsCreateDatabase({
log: ctx.log,
error: ctx.error,
})
return ctx.res.empty();
}
Retrieves all collections which exist in the database associated with the environment variable
MIGRATIONS_DATABASE_ID
and then deletes them. The closest SQL analogy for this serverless function
is DROP TABLE IF EXISTS
. We recommend not setting this one up in your production
project.
import { migrationsResetDatabase } from '@franciscokloganb/appwrite-database-migration-tool'
export default async function(ctx) {
await migrationsResetDatabase({
log: ctx.log,
error: ctx.error,
})
return ctx.res.empty();
}
All functions that you just created require access to the environment variables below. You can set
them globally in your Appwrite project settings or scope them to each function. If you opted
for the scoped approach ensure the values match across functions. Also, ensure the config
does not change over time if you run the runMigrationSequence
at least once. The code is not
adapted for configuration changes. While they are possible, we do not recommend doing them, unless
you have a good reason and planned a transition. This includes updating environment variables,
build paths, function names, or repository changes. Mistakes can leave your application in
inconsistent states.
# Required
APPWRITE_FUNCTION_PROJECT_ID=<your-appwrite-project-id>
# Required
APPWRITE_API_KEY=<your-appwrite-api-key>
# Required
APPWRITE_ENDPOINT=<your-appwrite-endpoint>
# Defaults to 'Public'
MIGRATIONS_DATABASE_ID=<database-id>
# Defaults to 'Migrations'
MIGRATIONS_COLLECTION_ID=<collection-id>
# Defaults to 'Migrations'
MIGRATIONS_COLLECTION_NAME=<collection-name>
# Defaults to './migrations'
MIGRATIONS_HOME_FOLDER=<relative-path-to-folder-where-runner-finds-your-migrations>
- Execute
MigrationsCreateCollection
once and only once per environment/project.- We do prevent duplicate creations. π
- Check that the
Migrations
collection was created with at least the following attributes (the$id
attribute is not explicitly visible on the GUI):applied
: Booleanname
: Stringtimestamp
: Integer
-
Use our codegen tool to create a new Migration JavaScript file. We give you type annotations through JSDocs (works just like TypeScript) without needing you to do transpilation steps.
- The codegen tool is
Node
andBun
compatible. - Your description will be converted to
PascalCase
.- Whitespaces are not allowed.
# E.g.: npx admt new-migration --outpath ./functions/database/migrations --descriptor CreateProductsCollection npx admt new-migration --outpath <relative-path> --descriptor <migration-summary>
- The codegen tool is
-
Use the
databaseService
parameter ofup
anddown
to write your migration.- The
databaseService
is a subclass instance ofDatabases
fromnode-appwrite
. - The subclass provides some utility methods and properties on top of the normal
Databases
.
- The
-
Once you are done, deploy push your changes through the environment pipelines.
- E.g.: Push to
staging
execute theMigrationsRunSequence
function on Appwrite UI. Verify all is good. Finally push toproduction
and run the sequence there.
- E.g.: Push to
- Migrations must complete within Appwrite Cloud defined timeout for the function (default is 15s).
- Longer migrations should be run from local maching, by exporting variables in your
.env.local
for example.
- Longer migrations should be run from local maching, by exporting variables in your
- Never change the file name of a migration file.
- Never change the class name of a migration class.
- Always use codegen tools to create new migration files or other supported operations.
Whether you are applying changes to your Appwrite database through their GUI (website), the Appwrite CLI, or using this package (ADMT), your changes are not guaranteed to be immediate. Your request for changes are "Eventually Consistent". For example, when you ask Appwrite to create a new attribute on a collection, that request goes to the queue. Eventually, a Worker picks up the request and commits your change requests to your database. Meaning that changes are not immediate and can (possibly?) occur out of order.
What are the implications for you as a developer?
Again, with an example. Assume you add an attribute bar
to some existing collection. Shortly
after. you try to create a document with data { "bar": "hello" }
. While the request may succeed,
there is a chance you get an error informing that the format of the document is invalid and that
bar
does not exist on collection Foo
when you executethe statement. This can happen with any
other operation. Not just attributes and documents. Thus, to mitigate this issue, you should use the
poll
function exported by this package whenever you need to perform dependant and sequential
operations in short time spans:
await db.createStringAttribute('[DATABASE_ID]', '[COLLECTION_ID]', 'bar', 32, true)
// β Bad code - Document creation may fail. Your request for attribute creation may still be queued.
await dbService.createDocument(
'[DATABASE_ID]',
'[COLLECTION_ID]',
'[DOCUMENT_ID]',
{ "bar": "hello" },
)
// β
Better code - Document creation unlikely to fail. You give time for Appwrite to work on your request (if needed).
const [_, e] = await poll({
fetcher: () =>
db.getCollection('[DATABASE_ID]', '[COLLECTION_ID]'),
isReady: ({ attributes }) =>
attributes.some(({ key, status }) => key === 'bar' && status === 'available'),
});
if (e) {
log(`Migration timed out. Unable to create '[DATABASE_ID]' documents.`)
throw e
}
await dbService.createDocument(
'[DATABASE_ID]',
'[COLLECTION_ID]',
'[DOCUMENT_ID]',
{ "bar": "hello" },
)
The poll function runs the fetcher
you provide up to six times applying an exponential backoff per
try (0ms, 5000ms, 10000ms, 20000ms, 40000ms, 80000ms). Whenever the fetcher
resolves, it calls the
is isReady
method you provided. In turn, if isReady
returns true
, the poll
function
resolves and returns the fetcher
resolved data and a null
error. It is safe to call the next
operations in your flow. Otherwise, poll
returns null
data and an array of error
explaining
what went wrong. Particularly, the last error
in the array will always be a generic Error
indicating a "max retries reached" message. If there was at least one fetcher
rejection, the
original error(s) will be included on the errors array, in order of occurrence, before the generic
error. Rejections from fetcher
and isReady
"failures" are ignored if at least one fetcher
calls succeeds. The poll
function never returns two non-null values at the same time!
Note: poll
accepts optional log
/error
functions for verbose debugging in your Appwrite console.
- Avoid changing the contents of a migration that you have pushed to a production-like environment.
- Unless you can confidently revert the database state (e.g.: staging) without affecting end-users.
- Provide a meaningful descriptions for your migration using the
--descriptor
flag.- Keep them short, like
git commit
messages.
- Keep them short, like
- Follow the expand-and-contract pattern.
- Read here.
- Follow the single-responsibility principle.
- We do not have direct access to Appwrite's MariaDB instances, thus no real transaction mechanisms are used.
- It's better to do incremental migrations then one migration that might leave your app in an inconsistent state. Plan your migrations!
- Avoid abstractions in your migration files. They are subject to change in the future. If you use them, ensure that whatever happens, the output of the migration up sequence is always the same. A change of output in a migration M may cause a migration M + x, x > 0, to no longer work as intended.
- Test your migration locally and your staging environment before releasing to production!
- Mistakes happen. If you pushed to production and applying 'down' is not possible, we recommend
creating a new migration file to patch the issue.
- If that is not possible, restore your database to a previous point-in-time (backup).
-
How do I bundle my migrations in the final function bundle? a. Please note that currently Bun as an upstream issue with Axios, and fails to execute our functions due to missing
http
adapters. In the mean time I suggest you use plain.js
files.a. You can track that issue here: oven-sh/bun#3371,
How you bundle your migrations depends on your overall language choices and how you choose to set up your Appwrite Function source repository structure. My personal setup using a Bun based functions has the following Function Configurations. Please note that appwrite does not allow you to do
newline
with continuation markers\
like I did in the example below example (for readability purposes). It expects the entire command to be written in one line. Thecopy
command will only work if the folder already exists in your remote repository.Entrypoint: ./dist/database/migrations-run-sequence.js Build Settings: \ bun install --production \ && bun build ./functions/database/migrations-run-sequence.ts --outdir ./dist/database \ && mkdir ./dist/database/migrations \ && cp -r ./functions/database/migrations ./dist/database/migrations ;
-
My migrations are not being found when I execute
MigrationRunSequence
.When Appwrite invokes a serverless function it automatically searches for your entrypoint starting at
/usr/local/server/src/function/*
. Our code on the other hand, usescurrent working directory
to start searching for files. Appwrite serverless CWD is/usr/local/server/*
, meaning you need to modify yourMIGRATIONS_HOME_FOLDER
to consider thesrc
andfunction
path segments if applicable. -
I am getting scope errors when I execute the functions.
When we create an Appwrite Server Client (node-appwrite SDK), we use the APPWRITE_API_KEY you provide to set it up. If you are getting scope errors, similar to these ones "Error: [email protected] (role: applications) missing scope (collections.read)", it's because you need to add more scopes to your APPWRITE_API_KEY. You can do that by accessing
Project > Settings > API credentials > View API Keys > { Select API KEY } > Scopes
; From here onwards, you need to add the scopes that are missing.
Currently, the MigrationRunSequence
may fail while applying a user defined migration file.
If the migration fails, the steps that were taken during that particular migration file, are not
rolled back. Running the down method is an "OK" approach, but far from ideal, particularly on
bigger migrations which involve modifying collection data rather than just creating/deleting fields.
Implement a superset of commands around DatabaseService
using a Memento
pattern to try to mimic
Transactions as much as possible. The solution involves retries
with exponential backoff and would
require some interesting API changes. This means that ADMT
would no longer just expose Appwrite
SDK Databases
functionality, but would also have an API of commands that would intelligently
know how to rollback themselves if all retries were expended and a given step failed.
Something like the pseudo-code below:
class SomeMigration {
async up({ db, error, log, sequence }) {
await sequence
.addStep({
action: 'create',
type: 'document',
args: {
...argsToPassToDatabasesCreateDocumentMethod
}
}).addStep({
action: 'update',
type: 'document',
args: {
...argsToPassToDatabasesCreateDocumentMethod
},
onError: async ({ db }) => {
await db.executeCustomRollbackActionForThisStep()
}
})
// For each command that is successfully executed in the sequence queue
// Push a record to an executed stack
// If some command N + x, x > 0 fails
// Pop from the executed stack and execute reverse of action
// e.g.: delete document when action was create document
await sequence.build().run()
}
}