Github user alope107 commented on a diff in the pull request:
https://github.com/apache/spark/pull/8318#discussion_r37657884
--- 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='d...@spark.apache.org',
+ 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 --
As was discussed on the list, I think it makes sense to hold off on the jar
at first. It's definitely worth revisiting down the line though.
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