Github user alope107 commented on a diff in the pull request:
https://github.com/apache/spark/pull/8318#discussion_r41212659
--- Diff: python/pyspark/__init__.py ---
@@ -36,6 +36,31 @@
Finer-grained cache persistence levels.
"""
+import os
+import sys
+
+import xml.etree.ElementTree as ET
+
+if (os.environ.get("SPARK_HOME", "not found") == "not found"):
+ raise ImportError("Environment variable SPARK_HOME is undefined.")
+
+spark_home = os.environ['SPARK_HOME']
+pom_xml_file_path = os.path.join(spark_home, 'pom.xml')
--- End diff --
Good catch; I hadn't noticed that. The only other standard way I'm seeing
to get the version is by instantiating a Java Spark Context and querying its
version. Is this acceptable, or is there a more lightweight solution?
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