That's very fair.

For my part, I should have been faster to make these JIRAs and get critical
dev community QA started when the branch was cut last week.

On Thu, Apr 27, 2017 at 2:59 PM, Sean Owen <so...@cloudera.com> wrote:

> That makes sense, but we have an RC, not just a branch. I think we've
> followed the pattern in http://spark.apache.org/versioning-policy.html in
> the past. This generally comes before and RC right, because until
> everything that Must Happen before a release has happened, someone's saying
> the RC can't possibly pass. I get it, in practice, this is an "RC0" that
> can't pass (unless somehow these issue result in zero changes) and there's
> value in that anyway. Just want to see if we're on the same page about
> process, maybe even just say this is how we manage releases, with "RCs"
> starting before QA ends.
>
> On Thu, Apr 27, 2017 at 10:36 PM Joseph Bradley <jos...@databricks.com>
> wrote:
>
>> This is the same thing as ever for MLlib: Once a branch has been cut, we
>> stop merging features.  Now that features are not being merged, we can
>> begin QA.  I strongly prefer to track QA work in JIRA and to have those
>> items targeted for 2.2.  I also believe that certain QA tasks should be
>> blockers; e.g., if we have not checked for binary or Java compatibility
>> issues in new APIs, then I am not comfortable signing off on a release.  I
>> agree with Michael that these don't block testing on a release; the point
>> of these issues is to do testing.
>>
>> I'll close the roadmap JIRA though.
>>
>> On Thu, Apr 27, 2017 at 1:49 PM, Michael Armbrust <mich...@databricks.com
>> > wrote:
>>
>>> All of those look like QA or documentation, which I don't think needs to
>>> block testing on an RC (and in fact probably needs an RC to test?).
>>> Joseph, please correct me if I'm wrong.  It is unlikely this first RC is
>>> going to pass, but I wanted to get the ball rolling on testing 2.2.
>>>
>>> On Thu, Apr 27, 2017 at 1:45 PM, Sean Owen <so...@cloudera.com> wrote:
>>>
>>>> These are still blockers for 2.2:
>>>>
>>>> SPARK-20501 ML, Graph 2.2 QA: API: New Scala APIs, docs
>>>> SPARK-20504 ML 2.2 QA: API: Java compatibility, docs
>>>> SPARK-20503 ML 2.2 QA: API: Python API coverage
>>>> SPARK-20502 ML, Graph 2.2 QA: API: Experimental, DeveloperApi, final,
>>>> sealed audit
>>>> SPARK-20500 ML, Graph 2.2 QA: API: Binary incompatible changes
>>>> SPARK-18813 MLlib 2.2 Roadmap
>>>>
>>>> Joseph you opened most of these just now. Is this an "RC0" we know
>>>> won't pass? or, wouldn't we normally cut an RC after those things are 
>>>> ready?
>>>>
>>>> On Thu, Apr 27, 2017 at 7:31 PM 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 Tues, May 2nd, 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-rc1
>>>>> <https://github.com/apache/spark/tree/v2.2.0-rc1> (8ccb4a57c82146c
>>>>> 1a8f8966c7e64010cf5632cb6)
>>>>>
>>>>> 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%202.1.1>
>>>>> .
>>>>>
>>>>> The release files, including signatures, digests, etc. can be found at:
>>>>> http://home.apache.org/~pwendell/spark-releases/spark-2.2.0-rc1-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-1235/
>>>>>
>>>>> The documentation corresponding to this release can be found at:
>>>>> http://people.apache.org/~pwendell/spark-releases/spark-
>>>>> 2.2.0-rc1-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/>
>>
>


-- 

Joseph Bradley

Software Engineer - Machine Learning

Databricks, Inc.

[image: http://databricks.com] <http://databricks.com/>

Reply via email to