Per https://github.com/apache/spark/tree/v2.1.1,
1. CentOS 7.2.1511 / R 3.3.3 - this test hangs.
I messed it up a bit while downgrading the R to 3.3.3 (It was an actual
machine not a VM) so it took me a while to re-try this.
I re-built this again and checked the R version is 3.3.3 at least. I hope
this one could double checked.
Here is the self-reproducer:
irisDF <- suppressWarnings(createDataFrame (iris))
schema <- structType(structField("Sepal_Length", "double"),
structField("Avg", "double"))
df4 <- gapply(
cols = "Sepal_Length",
irisDF,
function(key, x) {
y <- data.frame(key, mean(x$Sepal_Width), stringsAsFactors = FALSE)
},
schema)
collect(df4)
2017-06-14 16:07 GMT+09:00 Felix Cheung <felixcheun...@hotmail.com>:
> Thanks! Will try to setup RHEL/CentOS to test it out
>
> _____________________________
> From: Nick Pentreath <nick.pentre...@gmail.com>
> Sent: Tuesday, June 13, 2017 11:38 PM
> Subject: Re: [VOTE] Apache Spark 2.2.0 (RC4)
> To: Felix Cheung <felixcheun...@hotmail.com>, Hyukjin Kwon <
> gurwls...@gmail.com>, dev <dev@spark.apache.org>
>
> Cc: Sean Owen <so...@cloudera.com>
>
>
> Hi yeah sorry for slow response - I was RHEL and OpenJDK but will have to
> report back later with the versions as am AFK.
>
> R version not totally sure but again will revert asap
> On Wed, 14 Jun 2017 at 05:09, Felix Cheung <felixcheun...@hotmail.com>
> wrote:
>
>> Thanks
>> This was with an external package and unrelated
>>
>> >> macOS Sierra 10.12.3 / R 3.2.3 - passed with a warning (
>> https://gist.github.com/HyukjinKwon/85cbcfb245825852df20ed6a9ecfd845)
>>
>> As for CentOS - would it be possible to test against R older than 3.4.0?
>> This is the same error reported by Nick below.
>>
>> _____________________________
>> From: Hyukjin Kwon <gurwls...@gmail.com>
>> Sent: Tuesday, June 13, 2017 8:02 PM
>>
>> Subject: Re: [VOTE] Apache Spark 2.2.0 (RC4)
>> To: dev <dev@spark.apache.org>
>> Cc: Sean Owen <so...@cloudera.com>, Nick Pentreath <
>> nick.pentre...@gmail.com>, Felix Cheung <felixcheun...@hotmail.com>
>>
>>
>>
>> For the test failure on R, I checked:
>>
>>
>> Per https://github.com/apache/spark/tree/v2.2.0-rc4,
>>
>> 1. Windows Server 2012 R2 / R 3.3.1 - passed (https://ci.appveyor.com/
>> project/spark-test/spark/build/755-r-test-v2.2.0-rc4)
>> 2. macOS Sierra 10.12.3 / R 3.4.0 - passed
>> 3. macOS Sierra 10.12.3 / R 3.2.3 - passed with a warning (
>> https://gist.github.com/HyukjinKwon/85cbcfb245825852df20ed6a9ecfd845)
>> 4. CentOS 7.2.1511 / R 3.4.0 - reproduced (https://gist.github.com/
>> HyukjinKwon/2a736b9f80318618cc147ac2bb1a987d)
>>
>>
>> Per https://github.com/apache/spark/tree/v2.1.1,
>>
>> 1. CentOS 7.2.1511 / R 3.4.0 - reproduced (https://gist.github.com/
>> HyukjinKwon/6064b0d10bab8fc1dc6212452d83b301)
>>
>>
>> This looks being failed only in CentOS 7.2.1511 / R 3.4.0 given my tests
>> and observations.
>>
>> This is failed in Spark 2.1.1. So, it sounds not a regression although it
>> is a bug that should be fixed (whether in Spark or R).
>>
>>
>> 2017-06-14 8:28 GMT+09:00 Xiao Li <gatorsm...@gmail.com>:
>>
>>> -1
>>>
>>> Spark 2.2 is unable to read the partitioned table created by Spark 2.1
>>> or earlier.
>>>
>>> Opened a JIRA https://issues.apache.org/jira/browse/SPARK-21085
>>>
>>> Will fix it soon.
>>>
>>> Thanks,
>>>
>>> Xiao Li
>>>
>>>
>>>
>>> 2017-06-13 9:39 GMT-07:00 Joseph Bradley <jos...@databricks.com>:
>>>
>>>> Re: the QA JIRAs:
>>>> Thanks for discussing them. I still feel they are very helpful; I
>>>> particularly notice not having to spend a solid 2-3 weeks of time QAing
>>>> (unlike in earlier Spark releases). One other point not mentioned above: I
>>>> think they serve as a very helpful reminder/training for the community for
>>>> rigor in development. Since we instituted QA JIRAs, contributors have been
>>>> a lot better about adding in docs early, rather than waiting until the end
>>>> of the cycle (though I know this is drawing conclusions from correlations).
>>>>
>>>> I would vote in favor of the RC...but I'll wait to see about the
>>>> reported failures.
>>>>
>>>> On Fri, Jun 9, 2017 at 3:30 PM, Sean Owen <so...@cloudera.com> wrote:
>>>>
>>>>> Different errors as in https://issues.apache.org/
>>>>> jira/browse/SPARK-20520 but that's also reporting R test failures.
>>>>>
>>>>> I went back and tried to run the R tests and they passed, at least on
>>>>> Ubuntu 17 / R 3.3.
>>>>>
>>>>>
>>>>> On Fri, Jun 9, 2017 at 9:12 AM Nick Pentreath <
>>>>> nick.pentre...@gmail.com> wrote:
>>>>>
>>>>>> All Scala, Python tests pass. ML QA and doc issues are resolved (as
>>>>>> well as R it seems).
>>>>>>
>>>>>> However, I'm seeing the following test failure on R consistently:
>>>>>> https://gist.github.com/MLnick/5f26152f97ae8473f807c6895817cf72
>>>>>>
>>>>>>
>>>>>> On Thu, 8 Jun 2017 at 08:48 Denny Lee <denny.g....@gmail.com> wrote:
>>>>>>
>>>>>>> +1 non-binding
>>>>>>>
>>>>>>> Tested on macOS Sierra, Ubuntu 16.04
>>>>>>> test suite includes various test cases including Spark SQL, ML,
>>>>>>> GraphFrames, Structured Streaming
>>>>>>>
>>>>>>>
>>>>>>> On Wed, Jun 7, 2017 at 9:40 PM vaquar khan <vaquar.k...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> +1 non-binding
>>>>>>>>
>>>>>>>> Regards,
>>>>>>>> vaquar khan
>>>>>>>>
>>>>>>>> On Jun 7, 2017 4:32 PM, "Ricardo Almeida" <
>>>>>>>> ricardo.alme...@actnowib.com> wrote:
>>>>>>>>
>>>>>>>> +1 (non-binding)
>>>>>>>>
>>>>>>>> Built and tested with -Phadoop-2.7 -Dhadoop.version=2.7.3 -Pyarn
>>>>>>>> -Phive -Phive-thriftserver -Pscala-2.11 on
>>>>>>>>
>>>>>>>> - Ubuntu 17.04, Java 8 (OpenJDK 1.8.0_111)
>>>>>>>> - macOS 10.12.5 Java 8 (build 1.8.0_131)
>>>>>>>>
>>>>>>>>
>>>>>>>> On 5 June 2017 at 21:14, Michael Armbrust <mich...@databricks.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Please vote on releasing the following candidate as Apache Spark
>>>>>>>>> version 2.2.0. The vote is open until Thurs, June 8th, 2017 at
>>>>>>>>> 12:00 PST and passes if a majority of at least 3 +1 PMC votes are
>>>>>>>>> cast.
>>>>>>>>>
>>>>>>>>> [ ] +1 Release this package as Apache Spark 2.2.0
>>>>>>>>> [ ] -1 Do not release this package because ...
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> To learn more about Apache Spark, please see
>>>>>>>>> http://spark.apache.org/
>>>>>>>>>
>>>>>>>>> The tag to be voted on is v2.2.0-rc4
>>>>>>>>> <https://github.com/apache/spark/tree/v2.2.0-rc4> (377cfa8ac7ff7a8
>>>>>>>>> a6a6d273182e18ea7dc25ce7e)
>>>>>>>>>
>>>>>>>>> List of JIRA tickets resolved can be found with this filter
>>>>>>>>> <https://issues.apache.org/jira/browse/SPARK-20134?jql=project%20%3D%20SPARK%20AND%20fixVersion%20%3D%202.2.0>
>>>>>>>>> .
>>>>>>>>>
>>>>>>>>> The release files, including signatures, digests, etc. can be
>>>>>>>>> found at:
>>>>>>>>> http://home.apache.org/~pwendell/spark-releases/spark-
>>>>>>>>> 2.2.0-rc4-bin/
>>>>>>>>>
>>>>>>>>> Release artifacts are signed with the following key:
>>>>>>>>> https://people.apache.org/keys/committer/pwendell.asc
>>>>>>>>>
>>>>>>>>> The staging repository for this release can be found at:
>>>>>>>>> https://repository.apache.org/content/repositories/
>>>>>>>>> orgapachespark-1241/
>>>>>>>>>
>>>>>>>>> The documentation corresponding to this release can be found at:
>>>>>>>>> http://people.apache.org/~pwendell/spark-releases/spark-
>>>>>>>>> 2.2.0-rc4-docs/
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> *FAQ*
>>>>>>>>>
>>>>>>>>> *How can I help test this release?*
>>>>>>>>>
>>>>>>>>> If you are a Spark user, you can help us test this release by
>>>>>>>>> taking an existing Spark workload and running on this release
>>>>>>>>> candidate,
>>>>>>>>> then reporting any regressions.
>>>>>>>>>
>>>>>>>>> *What should happen to JIRA tickets still targeting 2.2.0?*
>>>>>>>>>
>>>>>>>>> Committers should look at those and triage. Extremely important
>>>>>>>>> bug fixes, documentation, and API tweaks that impact compatibility
>>>>>>>>> should
>>>>>>>>> be worked on immediately. Everything else please retarget to 2.3.0 or
>>>>>>>>> 2.2.1.
>>>>>>>>>
>>>>>>>>> *But my bug isn't fixed!??!*
>>>>>>>>>
>>>>>>>>> In order to make timely releases, we will typically not hold the
>>>>>>>>> release unless the bug in question is a regression from 2.1.1.
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> Joseph Bradley
>>>>
>>>> Software Engineer - Machine Learning
>>>>
>>>> Databricks, Inc.
>>>>
>>>> [image: http://databricks.com] <http://databricks.com/>
>>>>
>>>
>>>
>>
>>
>>
>
>
