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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/06/24 08:29:00 UTC
[jira] [Resolved] (SPARK-31341) Spark documentation incorrectly
claims 3.8 compatibility
[ https://issues.apache.org/jira/browse/SPARK-31341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-31341.
----------------------------------
Resolution: Cannot Reproduce
It's fixed in 3.0.
> 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
> Priority: Major
>
> 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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