Delta reader for the Ray open-source toolkit for building ML applications
Project description
deltaray
The deltaray library provides a Delta Lake table reader for the Ray open-source ML toolkit.
Quickstart
Install from PyPI:
pip install deltaray
Install from GitHub:
pip install git+https://github.com/delta-incubator/deltaray.git
Basic use, check notebooks for more detailed example:
# Standard Libraries
import pathlib
# External Libraries
import deltaray
import deltalake as dl
import pandas as pd
# Creating a Delta Table
cwd = pathlib.Path().resolve()
table_uri = f'{cwd}/tmp/delta-table'
df = pd.DataFrame({'id': [0, 1, 2, 3, 4, ], })
dl.write_deltalake(table_uri, df)
# Reading our Delta Table
ds = deltaray.read_delta(table_uri)
ds.show()
Running Test Matrix
note: you can add -s flag to print to stderr/stdout during pytest-ing
tox
Building Distribution
Building Wheel:
python setup.py bdist_wheel sdist
Installing Wheel:
pip install /path/to/wheel/..
Project details
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