Supabase Storage

Connect to Supabase Storage buckets.

Configuration

Field	Required	Description
project_url	Yes	Supabase S3 endpoint URL
bucket	Yes	Storage bucket name
paths	Yes	Storage object paths (supports glob patterns)
format	No	File format: parquet, json, csv, or file
secret_name	Yes	Reference to project secret with Supabase credentials

Setup Methods

OAuth (Recommended)

1. Click Connect with Supabase
2. Authenticate with your Supabase account
3. Select your project from the list
4. Select the storage bucket
5. Endpoint and credentials are automatically configured

Manual Setup

1. Get your S3 endpoint URL from Supabase
2. Create a project secret with your credentials
3. Enter the endpoint URL and bucket name
4. Select your secret

Endpoint URL Format

https://[project-ref].storage.supabase.co/storage/v1/s3

Replace [project-ref] with your Supabase project reference.

Credentials

Store your Supabase S3 credentials as a project secret:

{
  "access_key_id": "...",
  "secret_access_key": "..."
}

Find these credentials in Supabase Dashboard > Project Settings > S3 Access Keys.

Glob Pattern Support

Paths support standard glob patterns:

Pattern	Description
*	Matches any characters except /
?	Matches any single character
[...]	Matches any character in the brackets
**	Matches any path segment

Example

import daft

def process_supabase_data(uploads: daft.DataFrame):
    """Process data from Supabase Storage."""
    return uploads.select("filename", "size").to_pydict()

File Formats

Format	Extension	Description
Parquet	.parquet	Columnar format, best for analytics
JSON	.json	JSON files, one object per line (JSONL)
CSV	.csv	Comma-separated values
File	Any	Binary files (images, PDFs, audio, video, etc.)