setup justfile command in order to launch your spark application

[seefoods]

Hello Guys, 


Actually, I build a just file for my project which will be execute my wheel job task using command line, but when i run my wheel task i have encountered this error. 
from pyspark.sql.connect.expressions import PythonUDFEnvironment
ImportError: cannot import name 'PythonUDFEnvironment' from 'pyspark.sql.connect.expressions

Someone know how to solve this issue? 

justfile 

default:
    @just --list

install:
    poetry install

poetry-remove-pyspark:
    poetry show pyspark # Is PySpark already installed?

poetry-uninstall-pyspark:
    poetry remove pyspark

test-connexion-databricks:
    databricks-connect test

poetry-install-pyspark:
    poetry add "pyspark (>=3.5.5,<=4.1.1)"

poetry-add-pyspark-connect:
    poetry add databricks-connect@~17.3  # Or X.Y to match your cluster version.

edpiqual-example:
    python -c "from edpiqual.entrypoint import main; main()" \
    --ingestion_catalog_name default \
    --product_catalog_name workspace \
    --data_bundle Transactions --data_bundle_object test1\
    --format csv --source_type autoloader --trigger availableNow \
    --agreement_version 1 --start_date 2026-03-08T04:01:40.285Z \
    --write_mode upsert --upsert_column reference_id

this is my just file 

[mderela]

This error typically happens when there’s a version mismatch between your local pyspark installation and databricks-connect.
PythonUDFEnvironment was introduced in a specific version of the Databricks Connect SDK. If you have a standalone pyspark package installed alongside databricks-connect, it shadows the correct one bundled with the connector.

If this is the main issue: try to remove pyspark, remove only databricks-connect. Via poetry, verify if pyspark is not installed (poetry show). 

[anuj_lathi]

This ImportError happens because you have both standalone pyspark and databricks-connect installed, and they conflict with each other. databricks-connect bundles its own version of PySpark internally — when the standalone pyspark package is also present, Python imports from the wrong one, which doesn't have PythonUDFEnvironment.

Fix: Remove the standalone pyspark and only use databricks-connect:

# Remove standalone pyspark first

poetry-remove-pyspark:

    poetry remove pyspark

# Install databricks-connect (which bundles compatible pyspark)

poetry-add-databricks-connect:

    poetry add databricks-connect@~17.3

# Verify no standalone pyspark is installed

check-deps:

    poetry show pyspark 2>&1 || echo "OK: no standalone pyspark"

    poetry show databricks-connect

Key rules to avoid this:

1. Never install `pyspark` alongside `databricks-connect` — they conflict
2. databricks-connect version must match your cluster DBR version (e.g., ~17.3 for DBR 17.3)
3. After removing pyspark, clear any cached .pyc files: find . -name "*.pyc" -delete

If you need standalone PySpark for local-only testing (no Databricks), keep them in separate Poetry dependency groups and never activate both simultaneously.