Firestore Data Migration
Supabase provides several tools to convert data from a Firebase Firestore database to a Supabase PostgreSQL database. The process copies the entire contents of a single Firestore collection
to a single PostgreSQL table
.
The Firestore collection
is "flattened" and converted to a table with basic columns of one of the following types: text
, numeric
, boolean
, or jsonb
. If your structure is more complex, you can write a program to split the newly-created json
file into multiple, related tables before you import your json
file(s) to Supabase.
Set up the migration tool #
- Clone the firebase-to-supabase repository:
_10git clone https://github.com/supabase-community/firebase-to-supabase.git
- In the
/firestore
directory, create a file namedsupabase-service.json
with the following contents:
_10{_10 "host": "database.server.com",_10 "password": "secretpassword",_10 "user": "postgres",_10 "database": "postgres",_10 "port": 5432_10}
- Go to the Database settings for your project in the Supabase Dashboard.
- Under Connection Info, copy the Host string and replace the entry in your
supabase-service.json
file. - Enter the password you used when you created your Supabase project in the
password
entry in thesupabase-service.json
file.
Generate a Firebase private key #
- Log in to your Firebase Console and open your project.
- Click the gear icon next to Project Overview in the sidebar and select Project Settings.
- Click Service Accounts and select Firebase Admin SDK.
- Click Generate new private key.
- Rename the downloaded file to
firebase-service.json
.
Command line options#
List all Firestore collections#
node collections.js
Dump Firestore collection to JSON file#
node firestore2json.js <collectionName> [<batchSize>] [<limit>]
batchSize
(optional) defaults to 1000- output filename is
<collectionName>.json
limit
(optional) defaults to 0 (no limit)
Customize the JSON file with hooks
You can customize the way your JSON file is written using a custom hook. A common use for this is to "flatten" the JSON file, or to split nested data into separate, related database tables. For example, you could take a Firestore document that looks like this:
And split it into two files (one table for users and one table for items):
Import JSON file to Supabase (PostgreSQL) #
node json2supabase.js <path_to_json_file> [<primary_key_strategy>] [<primary_key_name>]
<path_to_json_file>
The full path of the file you created in the previous step (Dump Firestore collection to JSON file
), such as./my_collection.json
[<primary_key_strategy>]
(optional) Is one of:none
(default) No primary key is added to the table.smallserial
Creates a key using(id SMALLSERIAL PRIMARY KEY)
(autoincrementing 2-byte integer).serial
Creates a key using(id SERIAL PRIMARY KEY)
(autoincrementing 4-byte integer).bigserial
Creates a key using(id BIGSERIAL PRIMARY KEY)
(autoincrementing 8-byte integer).uuid
Creates a key using(id UUID PRIMARY KEY DEFAULT gen_random_uuid())
(randomly generated UUID).firestore_id
Creates a key using(id TEXT PRIMARY KEY)
(uses existingfirestore_id
random text as key).
[<primary_key_name>]
(optional) Name of primary key. Defaults to "id".
Custom hooks#
Hooks are used to customize the process of exporting a collection of Firestore documents to JSON. They can be used for:
- Customizing or modifying keys
- Calculating data
- Flattening nested documents into related SQL tables
Write a custom hook#
Create a .js file for your collection
If your Firestore collection is called users
, create a file called users.js
in the current folder.
Construct your .js file
The basic format of a hook file looks like this:
_10module.exports = (collectionName, doc, recordCounters, writeRecord) => {_10 // modify the doc here_10 return doc_10}
Parameters
collectionName
: The name of the collection you are processing.doc
: The current document (JSON object) being processed.recordCounters
: An internal object that keeps track of how many records have been processed in each collection.writeRecord
: This function automatically handles the process of writing data to other JSON files (useful for "flatting" your document into separate JSON files to be written to separate database tables).writeRecord
takes the following parameters:name
: Name of the JSON file to write to.doc
: The document to write to the file.recordCounters
: The samerecordCounters
object that was passed to this hook (just passes it on).
Examples#
Add a new (unique) numeric key to a collection
_10module.exports = (collectionName, doc, recordCounters, writeRecord) => {_10 doc.unique_key = recordCounter[collectionName] + 1_10 return doc_10}
Add a timestamp of when this record was dumped from Firestore
_10module.exports = (collectionName, doc, recordCounters, writeRecord) => {_10 doc.dump_time = new Date().toISOString()_10 return doc_10}
Flatten JSON into separate files
Flatten the users
collection into separate files:
_14[_14 {_14 "uid": "abc123",_14 "name": "mark",_14 "score": 100,_14 "weapons": ["toothpick", "needle", "rock"]_14 },_14 {_14 "uid": "xyz789",_14 "name": "chuck",_14 "score": 9999999,_14 "weapons": ["hand", "foot", "head"]_14 }_14]
The users.js
hook file:
_11module.exports = (collectionName, doc, recordCounters, writeRecord) => {_11 for (let i = 0; i < doc.weapons.length; i++) {_11 const weapon = {_11 uid: doc.uid,_11 weapon: doc.weapons[i],_11 }_11 writeRecord('weapons', weapon, recordCounters)_11 }_11 delete doc.weapons // moved to separate file_11 return doc_11}
The result is two separate JSON files: