lakefs 0.1.0b4

lakeFS Python SDK Wrapper

lakeFS High-Level Python SDK

lakeFS High Level SDK for Python, provides developers with the following features:

1. Simpler programming interface with less configuration
2. Inferring identity from environment
3. Better abstractions for common, more complex operations (I/O, transactions, imports)

Requirements

Python 3.9+

Installation & Usage

pip install

pip install lakefs

Import the package

import lakefs

Getting Started

Please follow the installation procedure and afterward refer to the following example snippet for a quick start:

import lakefs
from lakefs.client import Client, init

# Using default client will attempt to authenticate with lakeFS server using configured credentials
# If environment variables or .lakectl.yaml file exist 
repo = lakefs.Repository(repository_id="my-repo")

# Alternatively, provide explicit credentials and call client init method, which will initialize the default client
init(username="<lakefs_access_key_id>", password="<lakefs_secret_access_key>", host="<lakefs_endpoint>")
repo = lakefs.Repository(repository_id="my-repo")

# Or explicitly initialize and provide a Client object 
clt = Client(username="<lakefs_access_key_id>", password="<lakefs_secret_access_key>", host="<lakefs_endpoint>")
repo = lakefs.Repository(repository_id="my-repo", client=clt)

# From this point, proceed using the package according to documentation
main_branch = repo.create(storage_namespace="<storage_namespace>").branch(branch_id="main")
...

Tests

To run the tests using pytest, first clone the lakeFS git repository

git clone https://github.com/treeverse/lakeFS.git
cd lakefs/clients/python-wrapper

Unit Tests

Inside the tests folder, execute pytest utests to run the unit tests.

Integration Tests

See testing documentation for more information

Documentation

lakeFS Python SDK

Author

[e-mail]