Github user alope107 commented on a diff in the pull request:
https://github.com/apache/spark/pull/8318#discussion_r41213092
--- Diff: python/pyspark/pyspark_version.py ---
@@ -0,0 +1,17 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+__version__ = '1.5.0'
--- End diff --
So we remove the version checks entirely in the bundled version, and
include them for the package uploaded to PyPI? I agree that this reduces the
chance for maintainer error, but I'm worried about users upgrading versions of
Spark. A user could install a bundled version of pyspark, and then later point
their SPARK_HOME at a newer version of Spark. There would then be a version
mismatch that wouldn't be detected.
Maybe a middle ground could be to include the version checks in both
bundled and pip installations, but to include a check during PyPI package
generation that the version has been properly set.
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