Daniel King created SPARK-31341:
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Summary: Spark documentation incorrectly claims 3.8 compatibility
Key: SPARK-31341
URL: https://issues.apache.org/jira/browse/SPARK-31341
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.4.5
Reporter: Daniel King
The Spark documentation ([https://spark.apache.org/docs/latest/]) has this text:
{quote}Spark runs on Java 8, Python 2.7+/3.4+ and R 3.1+. For the Scala API,
Spark 2.4.5 uses Scala 2.12. You will need to use a compatible Scala version
(2.12.x).
{quote}
Which suggests that Spark is compatible with Python 3.8. This is not true. For
example in the latest ubuntu:18.04 docker image:
{code:python}
apt-get update
apt-get install python3.8 python3-pip
pip3 install pyspark
python3.8 -m pip install pyspark
python3.8 -c 'import pyspark'
{code}
Outputs:
{code:python}
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/usr/local/lib/python3.8/dist-packages/pyspark/__init__.py", line 51,
in <module>
from pyspark.context import SparkContext
File "/usr/local/lib/python3.8/dist-packages/pyspark/context.py", line 31, in
<module>
from pyspark import accumulators
File "/usr/local/lib/python3.8/dist-packages/pyspark/accumulators.py", line
97, in <module>
from pyspark.serializers import read_int, PickleSerializer
File "/usr/local/lib/python3.8/dist-packages/pyspark/serializers.py", line
72, in <module>
from pyspark import cloudpickle
File "/usr/local/lib/python3.8/dist-packages/pyspark/cloudpickle.py", line
145, in <module>
_cell_set_template_code = _make_cell_set_template_code()
File "/usr/local/lib/python3.8/dist-packages/pyspark/cloudpickle.py", line
126, in _make_cell_set_template_code
return types.CodeType(
TypeError: an integer is required (got type bytes)
{code}
I propose the documentation is updated to say "Python 3.4 to 3.7". I also
propose the `setup.py` file for pyspark include:
{code:python}
python_requires=">=3.6,<3.8",
{code}
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