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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

# 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")

# 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

services@treeverse.io

Metadata

Release files for lakefs 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for lakefs 0.1.1
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Table of built distributions (wheels) for lakefs 0.1.1
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lakefs-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 76.3 kB

Release files / lakefs-0.1.1.tar.gz

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