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Hi, are you still working on this?
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Github user holdenk commented on the issue:
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So under the current jenkins set up this isn't running the Python style
checks in Jenkins so it would be good to make sure these work in jenkins (can
you update a python file)?
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Github user holdenk commented on the issue:
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That's a reasonable question, I'll try and look at this some next week but
if you've got a chance to look at/address the current comments on it that would
be great.
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Github user Stibbons commented on the issue:
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Any hope this patch might be integrated ?
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I agree, just email me :)
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Github user holdenk commented on the issue:
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Also if it would be useful to have a quick chat off-line and then circle
back to the PR with the result of our chat let me know - I'd really like to see
us get something like this in so we can have
Github user holdenk commented on the issue:
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@Stibbons however the problem is the virtualenv that gets created when a
user is in a conda enviroment is partially broken.
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Github user Stibbons commented on the issue:
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Ho, I have these pylint errors on my ubuntu! Probably I did not rebased
correctly.
Fixed with new check ignore:
- deprecated-method
- unsubscriptable-object,
-
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I really think using Spark with Anaconda is a **must have**. Deploying jobs
that runs inside a Conda environment is so fast and efficient. I really want to
push for this pull request #14180 that
Github user Stibbons commented on the issue:
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You and I agree, actually:
- PySpark can run inside Anaconda, and indeed this is greatly valuable.
This will make available to the "driver" all the package provided by Anaconda
(in client
Github user holdenk commented on the issue:
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@Stibbons the jenkins environment for Spark is not OS X, but since a lot of
the developers work in OS X I figured it would be good to test there too. I
think we should probably figure out why
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Here is my proposal: I leave the environment and let the script create the
virtual env, plus minor improvement on the linter script.
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Github user Stibbons commented on the issue:
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I have just tested this pull request on MacOS X with latest version of
Spark, no error:
```
...
Checking Pep8...
PEP8 checks passed.
Checking Pylint...
Pylint checks
Github user Stibbons commented on the issue:
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Indeed, I have not taken into account Anaconda environment, first because
this tool provide quick and efficient way of having an almost good working
environment to run jobs with numpy, pandas, and
Github user sethah commented on the issue:
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I tested this on macosx, and got some pylint errors:
+ echo 'Checking Pylint...'
Checking Pylint...
+ for to_be_checked in '"$PATHS_TO_CHECK"'
+ '[' false == true ']'
Github user holdenk commented on the issue:
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Another minor question is running the lint script now produces a lot of
output about the package versions - it might make sense to silence this output
except on failures (as we do with the actually
Github user holdenk commented on the issue:
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So looking at https://github.com/ContinuumIO/anaconda-issues/issues/305 it
seems like we might cause problems for Conda users (and I've setup Conda
locally to verify that this is indeed the case
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Thanks both of you for your reviews.
It also fix the version of sphinx for documentation build during the
`lint-python` My point of view is that for **application**, all versions of
tools
Github user holdenk commented on the issue:
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This PR does somehting useful by its self namely it uses virtual env /
`requirements.txt` to fix the versions of `pylint` and `pep8` and reenables
`pylint` checking of the code. There is a setup
Github user srowen commented on the issue:
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Just so I'm doubly clear, this PR is ready to go, does something useful by
itself? that is it's not just like a change that only makes sense with others?
I'm OK to merge it if the Python folks think
Github user holdenk commented on the issue:
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Also @Stibbons I'm sorry the process has been so challenging and thanks for
hanging in with it :)
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Github user holdenk commented on the issue:
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Right I think the virtualenv support for PySpark in general is interesting
- but its a large enough change we would need to get some substantail reviewer
time dedicated to it (and I don't see that
Github user Stibbons commented on the issue:
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sorry I wrote on the wrong pull request, I was talking about the virtualenv
support for executor (#14180) :(
This one is indeed only to reenable pylint. Merging this would allow me to
submit
Github user srowen commented on the issue:
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Python really isn't my area, so I don't feel qualified to evaluate this. It
sounds reasonable and has only build-time consequences, so I imagine it's
low-risk. Improve style checking is good. I can
Github user Stibbons commented on the issue:
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I would love to have a bit more feedback on this matter but it does not
seem to interest core developers, sadly :(
It's a bit disappointing, seeing how Python support on Spark is great,
being
Github user holdenk commented on the issue:
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I think this could be a good change for allowing more developers to onboard
with PySpark - is there any interest in the current PySpark/Build focused
committers [ @davies @srowen @rxin ] in seeing
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Maybe @davies, @srowen, or @yhuai will have some thoughts as people who
have worked on python linting.
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Jenkins retest this please
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Hello. Does anyone had time to review this patch? Is there anything I
should do to help it being merged? This reenables Pylint checks using
`lint-python` script and there are some errors that
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Pull Request rebased
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Github user holdenk commented on the issue:
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oh actually it seems like the PR dashboard updated its self (it lives at
https://spark-prs.appspot.com/ and is sometimes used by reviewers to decide
which PRs to look at).
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Github user Stibbons commented on the issue:
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What is the PR dashboard ?
I usually rebase this patch one or twice a week, I'll do it tomorrow
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So even though this passes tests - its showing up in the PR dashboard as
not for me. It might be easier to get reviewers to take a look if it was listed
correctly, if you merge in the latest master
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Hello, sorry to bother you, but if this patch gets merged, I can work on
the pylint errors and submit new PR I had to add in the ignore list of pylint.
If I reenable most of them, here is
Github user holdenk commented on the issue:
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cc @davies ?
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14963
Merged build finished. Test PASSed.
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