When you run the test in python/pyspark/sql/ by bin/spark-submit python/pyspark/sql/dataframe.py
the the current directory is the first item in sys.path, sql/types.py will have higher priority then python3.4/types.py, the tests will fail. On Tue, May 26, 2015 at 12:08 PM, Justin Uang <justin.u...@gmail.com> wrote: > Thanks for clarifying! I don't understand python package and modules names > that well, but I thought that the package namespacing would've helped, since > you are in pyspark.sql.types. I guess not? > > On Tue, May 26, 2015 at 3:03 PM Davies Liu <dav...@databricks.com> wrote: >> >> There is a module called 'types' in python 3: >> >> davies@localhost:~/work/spark$ python3 >> Python 3.4.1 (v3.4.1:c0e311e010fc, May 18 2014, 00:54:21) >> [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin >> Type "help", "copyright", "credits" or "license" for more information. >> >>> import types >> >>> types >> <module 'types' from >> >> '/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/types.py'> >> >> Without renaming, our `types.py` will conflict with it when you run >> unittests in pyspark/sql/ . >> >> On Tue, May 26, 2015 at 11:57 AM, Justin Uang <justin.u...@gmail.com> >> wrote: >> > In commit 04e44b37, the migration to Python 3, pyspark/sql/types.py was >> > renamed to pyspark/sql/_types.py and then some magic in >> > pyspark/sql/__init__.py dynamically renamed the module back to types. I >> > imagine that this is some naming conflict with Python 3, but what was >> > the >> > error that showed up? >> > >> > The reason why I'm asking about this is because it's messing with >> > pylint, >> > since pylint cannot now statically find the module. I tried also >> > importing >> > the package so that __init__ would be run in a init-hook, but that isn't >> > what the discovery mechanism is using. I imagine it's probably just >> > crawling >> > the directory structure. >> > >> > One way to work around this would be something akin to this >> > >> > (http://stackoverflow.com/questions/9602811/how-to-tell-pylint-to-ignore-certain-imports), >> > where I would have to create a fake module, but I would probably be >> > missing >> > a ton of pylint features on users of that module, and it's pretty hacky. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
