'PYARROW_IGNORE_TIMEZONE' environment variable was not set. It is required to set this environment variable to '1' in both driver and executor sides if you use pyarrow>=2.0.0. pandas-on-Spark will set it for you but it does not work if there is a Spark context already launched.
Running PySpark tests. Output is in /__w/spark/spark/python/unit-tests.log
Running PySpark tests. Output is in /__w/spark/spark/python/unit-tests.log
Will test against the following Python executables: ['python3.6', 'python3.9', 'pypy3']
Will test against the following Python executables: ['python3.6', 'python3.9', 'pypy3']
Will test the following Python modules: ['pyspark-pandas']
Will test the following Python modules: ['pyspark-pandas']
python3.6 python_implementation is CPython
python3.6 python_implementation is CPython
python3.6 version is: Python 3.6.13
python3.6 version is: Python 3.6.13
python3.9 python_implementation is CPython
python3.9 python_implementation is CPython
python3.9 version is: Python 3.9.5
python3.9 version is: Python 3.9.5
pypy3 python_implementation is PyPy
pypy3 python_implementation is PyPy
pypy3 version is: Python 3.7.10 (7.3.5+dfsg-1~ppa1~ubuntu20.04, May 23 2021, 14:57:07)
pypy3 version is: Python 3.7.10 (7.3.5+dfsg-1~ppa1~ubuntu20.04, May 23 2021, 14:57:07)