Github user alope107 commented on a diff in the pull request:
https://github.com/apache/spark/pull/8318#discussion_r37558783
--- Diff: python/setup.py ---
@@ -0,0 +1,19 @@
+#!/usr/bin/env python
+
+from setuptools import setup
+
+exec(compile(open("pyspark/pyspark_version.py").read(),
+ "pyspark/pyspark_version.py", 'exec'))
+VERSION = __version__
+
+setup(name='pyspark',
+ version=VERSION,
+ description='Apache Spark Python API',
+ author='Spark Developers',
+ author_email='[email protected]',
+ url='https://github.com/apache/spark/tree/master/python',
+ packages=['pyspark', 'pyspark.mllib', 'pyspark.ml', 'pyspark.sql',
'pyspark.streaming'],
+ data_files=[('pyspark', ['pyspark/pyspark_version.py'])],
+ install_requires=['numpy>=1.7', 'py4j==0.8.2.1', 'pandas'],
+ license='http://www.apache.org/licenses/LICENSE-2.0',
+ )
--- End diff --
I'm not familiar with assembly jars, so please correct me if I'm wrong, but
I think that we shouldn't need one for pyspark as it is entirely python code.
Wouldn't we only need an assembly jar if we were also looking to package scala
or java code?
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