[BUG] Could not pip install feathr - deltalake error #687
Description
Willingness to contribute
Yes. I would be willing to contribute a fix for this bug with guidance from the Feathr community.
Feathr version
latest
System information
- OS Platform and Distribution (e.g., Linux Ubuntu 20.0): MacOS Monterey
- Python version: Python 3.10.5
Describe the problem
Doing a pip install feathr would yield me an error. It could not proceed because it could not build the wheel for the deltalake package.
Below is the log:
Collecting deltalake
Using cached deltalake-0.6.1.tar.gz (4.3 MB)
Installing build dependencies ... done
Getting requirements to build wheel ... done
ERROR: Exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/pip/_internal/cli/base_command.py", line 167, in exc_logging_wrapper
status = run_func(*args)
File "/usr/local/lib/python3.10/site-packages/pip/_internal/cli/req_command.py", line 205, in wrapper
return func(self, options, args)
File "/usr/local/lib/python3.10/site-packages/pip/_internal/commands/install.py", line 341, in run
...
pip._vendor.pep517.wrappers.BackendUnavailable: Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 89, in _build_backend
obj = import_module(mod_path)
File "/usr/local/Cellar/[email protected]/3.10.5/Frameworks/Python.framework/Versions/3.10/lib/python3.10/importlib/__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1004, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'maturin'
Tracking information
No response
Code to reproduce bug
pip3 install feathrWhat component(s) does this bug affect?
-
Python Client: This is the client users use to interact with most of our API. Mostly written in Python. -
Computation Engine: The computation engine that execute the actual feature join and generation work. Mostly in Scala and Spark. -
Feature Registry API: The frontend API layer supports SQL, Purview(Atlas) as storage. The API layer is in Python(FAST API) -
Feature Registry Web UI: The Web UI for feature registry. Written in React