Github user alope107 commented on a diff in the pull request:
https://github.com/apache/spark/pull/8318#discussion_r37570383
--- 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 --
So if SPARK_HOME was set, it would use that spark installation, and default
to the packaged JAR otherwise? Depending on the size of the assembly JAR I be
in favor of this as it makes installation very easy for those who only want to
interact with Spark through pyspark, but the discussion on the mailing list
seemed to intentionally shy away from too large of a PyPI package. I'll bring
up your suggestion to see if there's wider support, and I encourage you to join
the discussion here:
http://apache-spark-developers-list.1001551.n3.nabble.com/PySpark-on-PyPi-td12626.html
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