[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-07-04 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-07-04 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #79181 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/79181/testReport)**
 for PR 14963 at commit 
[`215b7b3`](https://github.com/apache/spark/commit/215b7b34170f112c4448fba98b02a50dbb19b2a7).
 * This patch **fails Python style tests**.
 * This patch **does not merge cleanly**.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-07-04 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-07-04 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #79181 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/79181/testReport)**
 for PR 14963 at commit 
[`215b7b3`](https://github.com/apache/spark/commit/215b7b34170f112c4448fba98b02a50dbb19b2a7).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-06-26 Thread ueshin
Github user ueshin commented on the issue:

https://github.com/apache/spark/pull/14963
  
Hi, are you still working on this?


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-05-07 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-05-07 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-05-07 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #76550 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/76550/testReport)**
 for PR 14963 at commit 
[`215b7b3`](https://github.com/apache/spark/commit/215b7b34170f112c4448fba98b02a50dbb19b2a7).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-05-07 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #76550 has 
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 for PR 14963 at commit 
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-02-28 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-02-24 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-02-24 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-02-24 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #73451 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/73451/testReport)**
 for PR 14963 at commit 
[`215b7b3`](https://github.com/apache/spark/commit/215b7b34170f112c4448fba98b02a50dbb19b2a7).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-02-24 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #73451 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/73451/testReport)**
 for PR 14963 at commit 
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-02-24 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2017-01-09 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
Any hope this patch might be integrated ?


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-12-22 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-12-22 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-12-22 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #70518 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/70518/testReport)**
 for PR 14963 at commit 
[`4e27af2`](https://github.com/apache/spark/commit/4e27af2a87f5bb5c60425a98336667bc81cd9cbd).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-12-22 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #70518 has 
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-20 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
I agree, just email me :)


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-16 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 better/more consistent linting.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-13 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
@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] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66846 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66846/consoleFull)**
 for PR 14963 at commit 
[`cd98471`](https://github.com/apache/spark/commit/cd9847143869df11d5b4fb17d190817d5df023db).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66848 has 
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 for PR 14963 at commit 
[`132fec8`](https://github.com/apache/spark/commit/132fec81232c08a6adca910cc7b8333af722aa29).
 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66837 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66837/consoleFull)**
 for PR 14963 at commit 
[`278ff07`](https://github.com/apache/spark/commit/278ff07680a0ddf3f4a78266d0fa152aa3d2c93e).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66836 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66836/consoleFull)**
 for PR 14963 at commit 
[`8a6d659`](https://github.com/apache/spark/commit/8a6d6599f96b6bc4b20f7101313701c9e051b158).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66846 has 
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
Ho, I have these pylint errors on my ubuntu! Probably I did not rebased 
correctly.

Fixed with new check ignore:
- deprecated-method
- unsubscriptable-object,
- used-before-assignment,

of course, once merged. i can work on fixing this pylint errors !


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66838 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66838/consoleFull)**
 for PR 14963 at commit 
[`93395fd`](https://github.com/apache/spark/commit/93395fdef27fbe2bc269d4df010640d85b7dcf82).
 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66835 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66835/consoleFull)**
 for PR 14963 at commit 
[`087d1a0`](https://github.com/apache/spark/commit/087d1a04a5c323754de1f2ea295260a11740f478).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 also add anaconda support for executors 
(thanks to jeff's work). Actually before this PR I never tried Anaconda, and 
now I use it everyday on jupyter. Anaconda on the driver and executor make 
totally sense!


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 mode)
- Making the same environment available for executor is a bit messy for the 
moment. Here we have an NFS share that every executor use, but having it 
automatically deployed would be so cool. that's why the other PR :)

For development, PySpark will still use the anaconda environment if the 
user wishes so. Just for the `lint-python` execution, we revert back to a 
virtualenv, but only for the duration of the script


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
@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 @sethah is getting a different result 
than you and I are.

As for Conda I'm not sure I 100% agree, looking at 
https://www.continuum.io/blog/developer-blog/using-anaconda-pyspark-distributed-language-processing-hadoop-cluster
 and 
http://blog.cloudera.com/blog/2016/02/making-python-on-apache-hadoop-easier-with-anaconda-and-cdh/
 it seems like many people are looking at ways to use conda together with 
PySpark so I think we should consider the possibility of running on a machine 
with Conda installed (but we can investigate other work arounds besides the one 
I proposed in the PR to your branch) :)


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66838 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66838/consoleFull)**
 for PR 14963 at commit 
[`93395fd`](https://github.com/apache/spark/commit/93395fdef27fbe2bc269d4df010640d85b7dcf82).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66837 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66837/consoleFull)**
 for PR 14963 at commit 
[`278ff07`](https://github.com/apache/spark/commit/278ff07680a0ddf3f4a78266d0fa152aa3d2c93e).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66836 has 
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 for PR 14963 at commit 
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66835 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66835/consoleFull)**
 for PR 14963 at commit 
[`087d1a0`](https://github.com/apache/spark/commit/087d1a04a5c323754de1f2ea295260a11740f478).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 passed.
rm -rf _build/*
pydoc checks passed.
```

Is spark compiled with MacOS on Jenkins ?


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 so on. There are many conda 
packages available to download, it could almost make pip irrelevant.

But actually not. Indeed, Anaconda and pip do not really play in the same 
garden. Anaconda is great for one shot job or numpy script that needs to run is 
a quite well controlled environment, but this level of control is not that 
great. You can say you want numpy v1.1.0 but the user could have chosen another 
"channel" that the default one because someelse has compiled for the 
architecture. For example you can use `conda install -c intel` to download 
intel optimized libraries. This is great but there is too much latitude errors 
to occur. Reproducibility is not as much guaranteed than with pip

At least on pypi you have the default libraries and you are guaranteed to 
have the original package, unpatched, and if the developer has provided 
"wheels", you might even download the precompiled binaries (see 
[numpy](https://pypi.python.org/pypi/numpy) packages).

And you want to have a great control on the deployment of your master 
environment. Services such as heroku or similar does not provide a conda 
environment by default for the deployment of the application, if user wants it 
is can download it of course.

**TL;DR**, executing the Spark master inside a conda environment is a BAD 
idea. Executing Driver and Executor inside a Conda environment makes totally 
sense on the other hand, and this is the proposal for this PR we are working on 
with Jeff: #14180.

So, for this PR, for this PR we have several choices:
- trust the user: he knows what he does. If we are inside a conda 
environment, we can install packages with `conda install`. I must admit this is 
not my favorite choice, since altering the conda environment might have 
unwanted behavior (if you dont use the right channel, you might replace some 
dependencies without the user acknowledge). Using pip from within a conda 
environment is not recommend at all
- detect if we are inside a conda environment, leave it unconditionally 
inside at the script. Of course this only impact the `lint-python` script. I 
prefer this solution since we fallback into a nice controlled virtualenv for 
lint script

I use quite a lot conda nowadays, playing with sckitlearn and alike, I must 
admit I am well impressed by the quality of the features and precompiled 
packages it provides, and I find it really useful for computation jobs, even 
for Spark job.

For the output, I'll make better use of the `--debug` argument


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread sethah
Github user sethah commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 ']'
+ pylint --rcfile=/Users/sethhendrickson/Development/spark/python/pylintrc 
./python/pyspark/ ./examples/src/main/python/ ./dev/sparktestsupport 
./dev/run-tests.py ./python/run-tests.py ./dev/run-tests-jenkins.py
+ '[' 6 -ne 0 ']'
+ lint_status=1
+ echo 'Pylint checks failed.'
Pylint checks failed.
+ cat /Users/sethhendrickson/Development/spark/dev/pylint-report.txt
* Module pyspark.daemon
E:108,19: Value 'ex' is unsubscriptable (unsubscriptable-object)
* Module pyspark.sql.streaming
E: 23,20: Using variable 'long' before assignment (used-before-assignment)
* Module pyspark.sql.tests
W:1432, 8: Using deprecated method assertRaisesRegexp() (deprecated-method)
W:1435, 8: Using deprecated method assertRaisesRegexp() (deprecated-method)
...



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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 linting its self). Although I 
can see the argument go the other way too (if the user is on a slow network 
connection the first time the run lint-python we need to be sure they 
understand its going to take awhile to download stuff).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 with the current version of 
Conda). This is sort of a Conda bug, but it might make sense to include the 
workaround for Conda users in the PR (I'll make a PR against your branch with a 
workaround for Conda users you can take a look at @Stibbons :)).


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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-12 Thread SparkQA
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https://github.com/apache/spark/pull/14963
  
**[Test build #66819 has 
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 for PR 14963 at commit 
[`9e5d8d4`](https://github.com/apache/spark/commit/9e5d8d476118fc9145f19de88afe4b9f1b7f9575).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-10 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 used to build should be frozen (in `requirements.txt`), to ensure full 
reproductibility. Upgrading any tool from version A to version B should be as 
much controlled as any other change in the source code, since it may have 
unwanted behavior. Pylint adds and remove checks from time to time and you 
don't want you code to stop building when pylint release a new version on Pypi, 
without a easy way to go back to a known state.

I am ready to submit new PR with currently-ignored pylint checks :)


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-10 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 cost associated with installing 
the virtual env the first time we run this, but only for developers who run 
`./dev/pylint`.

Since this changes effectively adds back some linter rules its possible 
that mainline has changed since the last jenkins run and a merge to master 
performs poorly. Thinking about it some more, since we aren't under a rush for 
this, I'd like to double check this on Tuesday/Thursday on some of my coworkers 
machines that run OSX just to be safe because I know we've had some differences 
in the past with linter behaviour their (although this PR should remove those 
differences going forward its probably not a bad idea to double check).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-10 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 it's all a thumbs up.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-08 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
Also @Stibbons I'm sorry the process has been so challenging and thanks for 
hanging in with it :)


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-08 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 happening with the current somewhat 
bare bones PySpark committer team) but this is a bit more of a clear win and 
since it only has Spark developer tool implications - not end user 
implications, it's a bit easier to do new things.

How about we see if @davies has some time to look at this until Tuesday but 
if not - and if @srowen or one of the committers who has worked more on build 
related things feels comfortable - since its only a build change it might make 
sense to not be blocked too strongly on a Python specific reviewer. I'll take 
another look through the change tomorrow myself as well.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-08 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 new patch with minor code style corrections, and get rid of this weird 
manual pep8 package download. virtualenv and pip have been made to make life of 
python developers easy, make deployment reproductible and cheap to maintain, I 
just would like to instill this to the Spark project. There are many reason why 
playing with the PYTHONPATH is wrong.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-08 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 merge this if there aren't 
objections.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-08 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 able to deploy job as easy as with java (i.e., developers prepares the 
job + describes all the dependencies independently) would be so useful for 
Spark. For the moment, we have to ask our IT guys to install a given python 
module on each Executor when one needs a new one. We found a way using a nfs 
share but this is not convient. Automatic virtualenv creation with pip 
installing all dependencies described in a requirements.txt + support for 
wheels and python distribution package (sdist or bdist) is so useful and 
scalable. Each job can use different libraries and even the same library with 
different version, just like what can occur for java jars with the --packages 
arguments.
I think of starting maintaining a fork of Spark with latest version of the 
source code, I would call it "Python Friendly Spark".


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-07 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 this change (or something 
similar)?


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-05 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66387 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66387/consoleFull)**
 for PR 14963 at commit 
[`0ab6ef5`](https://github.com/apache/spark/commit/0ab6ef580f41af25df36a6a2470d3abde21e78c9).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-10-05 Thread SparkQA
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread AmplabJenkins
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https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread AmplabJenkins
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66044 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66044/consoleFull)**
 for PR 14963 at commit 
[`3f74d2d`](https://github.com/apache/spark/commit/3f74d2d80e2ed221510d1c81397ab14c60d3b46c).
 * This patch passes all tests.
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
Maybe @davies, @srowen, or @yhuai  will have some thoughts as people who 
have worked on python linting.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
Jenkins retest this please


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66041 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/66041/consoleFull)**
 for PR 14963 at commit 
[`3f74d2d`](https://github.com/apache/spark/commit/3f74d2d80e2ed221510d1c81397ab14c60d3b46c).
 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-28 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #66041 has 
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 for PR 14963 at commit 
[`3f74d2d`](https://github.com/apache/spark/commit/3f74d2d80e2ed221510d1c81397ab14c60d3b46c).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-26 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 would need to be fixed 
thanks pylint.


Thanks


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-22 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-22 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-22 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #65760 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65760/consoleFull)**
 for PR 14963 at commit 
[`ca2dcb2`](https://github.com/apache/spark/commit/ca2dcb2dc327f3f79570cc16dbf759df63eaae38).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-22 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #65760 has 
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-22 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
Pull Request rebased


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-21 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-21 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
What is the PR dashboard ?

I usually rebase this patch one or twice a week, I'll do it tomorrow


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-21 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 the tests will re-run or we can 
explicitly ask jenkins to retest this.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-16 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-16 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-16 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #65481 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65481/consoleFull)**
 for PR 14963 at commit 
[`dff7b23`](https://github.com/apache/spark/commit/dff7b23eac8b7dd062bf09eb88cc963b1aedface).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-16 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14963
  
**[Test build #65481 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65481/consoleFull)**
 for PR 14963 at commit 
[`dff7b23`](https://github.com/apache/spark/commit/dff7b23eac8b7dd062bf09eb88cc963b1aedface).


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-16 Thread Stibbons
Github user Stibbons commented on the issue:

https://github.com/apache/spark/pull/14963
  
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 an extract of errors I get:
```
* Module pyspark.shell
W: 78, 8: Use of exec (exec-used)
* Module pyspark.cloudpickle
R:767,16: Redefinition of v type from property to staticmethod 
(redefined-variable-type)
* Module pyspark.tests
R:782,12: Redefinition of a type from pyspark.rdd.RDD to 
pyspark.rdd.PipelinedRDD (redefined-variable-type)
R:783,12: Redefinition of b type from pyspark.rdd.RDD to 
pyspark.rdd.PipelinedRDD (redefined-variable-type)
* Module pyspark.rdd
R:1467,12: Redefinition of ser type from 
pyspark.serializers.AutoBatchedSerializer to 
pyspark.serializers.BatchedSerializer (redefined-variable-type)
* Module pyspark.context
R:130,12: Redefinition of self.serializer type from 
pyspark.serializers.AutoBatchedSerializer to 
pyspark.serializers.BatchedSerializer (redefined-variable-type)
* Module pyspark.worker
W:104,17: Use of eval (eval-used)
* Module pyspark.shuffle
C:732,32: Consider iterating the dictionary directly instead of calling 
.keys() (consider-iterating-dictionary)
* Module pyspark.ml.tests
R:1459, 8: Redefinition of a type from pyspark.ml.linalg.DenseVector to 
pyspark.ml.linalg.SparseVector (redefined-variable-type)
* Module pyspark.ml.linalg
E:683, 4: __len__ does not return non-negative integer 
(invalid-length-returned)
R:1079, 8: Redefinition of colPtrs type from list to str 
(redefined-variable-type)
R:1078, 8: Redefinition of rowIndices type from list to str 
(redefined-variable-type)
* Module pyspark.streaming.kafka
R:132,12: Redefinition of ser type from 
pyspark.serializers.PairDeserializer to 
pyspark.serializers.AutoBatchedSerializer (redefined-variable-type)
* Module pyspark.streaming.tests
R:419, 8: Redefinition of initial type from list to pyspark.rdd.RDD 
(redefined-variable-type)
E:506,12: Bad first argument 'StreamingListener' given to super() 
(bad-super-call)
* Module pyspark.streaming.context
C:298,12: Consider using enumerate instead of iterating with range and len 
(consider-using-enumerate)
```

These are not big errors, but it would be quite easy to fix them and have 
pylint runing at each pullrequest.

Thanks


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8 in...

2016-09-14 Thread holdenk
Github user holdenk commented on the issue:

https://github.com/apache/spark/pull/14963
  
cc @davies ?


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[GitHub] spark issue #14963: [SPARK-16992][PYSPARK] Virtualenv for Pylint and pep8

2016-09-09 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14963
  
Merged build finished. Test PASSed.


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