duckbricks-utils 0.1.1

DuckLake connection utilities for DuckBricks notebooks and pipelines

duckbricks-utils

DuckLake connection utilities for DuckBricks notebooks and pipelines.

Provides a consistent interface for connecting to a DuckLake catalog backed by PostgreSQL, from any environment — local IDE, Marimo notebooks, or job executors. Supports multiple storage backends (local, S3, MinIO, Cloudflare R2, GCS, Azure Blob).

Installation

pip install duckbricks-utils

Quick start

from duckbricks_utils import connect

conn = connect()
result = conn.execute("SELECT * FROM my_table LIMIT 10").df()

Configuration

All settings are read from environment variables (a .env file is supported via python-dotenv).

PostgreSQL catalog

Variable	Default	Description
DUCKLAKE_PG_HOST	localhost	PostgreSQL host
DUCKLAKE_PG_PORT	5432	PostgreSQL port
DUCKLAKE_PG_DATABASE	duckbricks	PostgreSQL database name
DUCKLAKE_PG_USER	duckbricks	PostgreSQL user
DUCKLAKE_PG_PASSWORD	duckbricks	PostgreSQL password
DUCKBRICKS_DUCKLAKE_NAME	duckbricks	DuckLake catalog name

Storage backend

Set DUCKBRICKS_STORAGE_BACKEND to one of the supported values (default: local).

Backend	DUCKBRICKS_STORAGE_BACKEND
Local filesystem	local
Amazon S3	s3
MinIO	minio
Cloudflare R2	r2
Google Cloud Storage	gcs
Azure Blob Storage	azure

Each backend reads its own credentials from environment variables (e.g. AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY for S3).

Local backend

Variable	Default	Description
DUCKBRICKS_DATA_PATH	/data/parquet/	Parquet storage path

API reference

from duckbricks_utils import connect, catalog_name, data_path
from duckbricks_utils import StorageBackend, StorageBackendFactory

# Open a DuckDB connection with the DuckLake catalog attached
conn = connect()

# Open a connection with a custom data path override
conn = connect(override_data_path="/tmp/my_data/")

# Get the configured catalog name
name = catalog_name()

# Get the active backend's data path
path = data_path()

# Resolve the backend from environment
backend = StorageBackendFactory.from_env()

# List all supported backend names
backends = StorageBackendFactory.supported_backends()

Requirements

• Python ≥ 3.11
• DuckDB ≥ 1.3.0