Haven't heard back and we are way past the voting period, closing this now.

Here's my +1 to conclude the vote.

Thanks
+Vinod

On Apr 20, 2015, at 10:31 AM, Vinod Kumar Vavilapalli <vino...@hortonworks.com> 
wrote:

> Apologies for the delay in replying.
> 
> It's a bit unusual because I am trying something different this time. We 
> discussed this before: http://markmail.org/thread/zwzze6cqqgwq4rmw
> 
> The short summary is to push more frequent releases instead of waiting for 
> making a release perfect - something that rarely works in practice.
> 
> We have tried requesting downstream projects to use RC's before (for e.g. 
> while doing 2.x alphas/betas), but it didn't yield much success without 
> making explicit releases. That is why, I am pushing out 2.7.0 as alpha so 
> that downstream projects can start integrating right away and uncover issues. 
> Will immediately follow up with 2.7.1, 2.7.2 etc every 2-3 weeks from now.
> 
> Does that make sense? I'll wait for your ack till  later in the evening today 
> and push the release out unless you are against this proposal.
> 
> Thanks
> +Vinod
> 
> On Apr 17, 2015, at 4:00 PM, Colin P. McCabe <cmcc...@apache.org> wrote:
> 
>> That's an interesting suggestion.  What's the advantage of putting
>> HDFS-8070, HDFS-8163, and HDFS-8179 in 2.7.1, instead of just doing
>> another RC?  We have only done one release candidate so far... seems a
>> little unusual.
>> 
>> I realize that some of this stuff came in after the voting period, but
>> I would still feel slightly more comfortable just fixing it and doing
>> an rc1, if that's possible in the next week or two.  The people who
>> want to get the upstream release into their hands as soon as possible
>> can use rc0 as-is.  Thoughts?
>> 
>> best,
>> Colin
>> 
>> On Fri, Apr 17, 2015 at 3:35 PM, Arpit Agarwal <aagar...@hortonworks.com> 
>> wrote:
>>> +1 for calling 2.7.0 an alpha.
>>> 
>>> There are a couple of more issues related to incorrect handling of 
>>> timestamps.
>>> 
>>> 1. HDFS-8163 - Using monotonicNow for block report scheduling causes test 
>>> failures on recently restarted systems
>>> 2. HDFS-8179 - DFSClient#getServerDefaults returns null within 1 hour of NN 
>>> start
>>> 
>>> Tagged both as blockers for 2.7.1.
>>> 
>>> 
>>> 
>>> 
>>> On 4/17/15, 7:12 AM, "Vinod Kumar Vavilapalli" <vino...@hortonworks.com> 
>>> wrote:
>>> 
>>>> Quick look tells me this is a bug that needs fixing.
>>>> 
>>>> Am on the road, so couldn't close the vote right after 5 days.
>>>> 
>>>> Seeing as this is coming up beyond the voting period, unless you feel 
>>>> strongly against it, I'd like to close the vote as a success but do the 
>>>> following: call this release an alpha for downstream consumption in line 
>>>> with my original proposal, following it up with a 2.7.1 in two weeks.
>>>> 
>>>> Thanks
>>>> +Vinod
>>>> 
>>>> On Apr 17, 2015, at 2:27 AM, Colin P. McCabe <cmcc...@apache.org> wrote:
>>>> 
>>>>> I would like to fix HDFS-8070, which just came to light.  The impact
>>>>> is that if this isn't fixed, 2.6 clients will be unable to do
>>>>> short-circuit reads against 2.7 datanodes.
>>>>> 
>>>>> best,
>>>>> Colin
>>>>> 
>>>>> On Wed, Apr 15, 2015 at 8:19 PM, Brahma Reddy Battula
>>>>> <brahmareddy.batt...@huawei.com> wrote:
>>>>>> Need Jcardar changes to support java 7 Byte code..I will work along with 
>>>>>> Todd to get jcardar..
>>>>>> 
>>>>>> Thanks & Regards
>>>>>> Brahma Reddy Battula
>>>>>> ________________________________________
>>>>>> From: Vinod Kumar Vavilapalli [vino...@hortonworks.com]
>>>>>> Sent: Wednesday, April 15, 2015 6:29 PM
>>>>>> To: common-dev@hadoop.apache.org
>>>>>> Subject: Re: [VOTE] Release Apache Hadoop 2.7.0 RC0
>>>>>> 
>>>>>> Tx Brahma. Apologies for missing your offline email.
>>>>>> 
>>>>>> So, did you have luck with an updated JCarder? Or does that need JCarder 
>>>>>> changes that you are waiting on.
>>>>>> 
>>>>>> +Vinod
>>>>>> 
>>>>>> On Apr 15, 2015, at 7:21 AM, Brahma Reddy Battula 
>>>>>> <brahmareddy.batt...@huawei.com> wrote:
>>>>>> 
>>>>>>> HI Allen
>>>>>>> 
>>>>>>> Thanks for updating here [ HDFS-8132 ]..
>>>>>>> 
>>>>>>> Jcardar is tied to the Java 6 class format. Hadoop 2.7.0 is our first 
>>>>>>> release that compiled Java 7 class files. Jcarder needs to updated to 
>>>>>>> support Java 7 byte code..
>>>>>>> 
>>>>>>> 
>>>>>>> I am +1 ( non binding),, after all the regression tests passed against 
>>>>>>> 2.7.0-RC0
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> Thanks & Regards
>>>>>>> Brahma Reddy Battula
>>>>>>> ________________________________________
>>>>>>> From: Allen Wittenauer [a...@altiscale.com]
>>>>>>> Sent: Wednesday, April 15, 2015 12:45 AM
>>>>>>> To: common-dev@hadoop.apache.org
>>>>>>> Cc: hdfs-...@hadoop.apache.org; yarn-...@hadoop.apache.org; 
>>>>>>> mapreduce-...@hadoop.apache.org
>>>>>>> Subject: Re: [VOTE] Release Apache Hadoop 2.7.0 RC0
>>>>>>> 
>>>>>>> Someone should look into HDFS-8132, which appears to have been filed 
>>>>>>> against RC0.
>>>>>>> 
>>>>>>> On Apr 11, 2015, at 1:44 AM, Vinod Kumar Vavilapalli 
>>>>>>> <vino...@apache.org> wrote:
>>>>>>> 
>>>>>>>> Hi all,
>>>>>>>> 
>>>>>>>> I've created a release candidate RC0 for Apache Hadoop 2.7.0.
>>>>>>>> 
>>>>>>>> The RC is available at: 
>>>>>>>> http://people.apache.org/~vinodkv/hadoop-2.7.0-RC0/
>>>>>>>> 
>>>>>>>> The RC tag in git is: release-2.7.0-RC0
>>>>>>>> 
>>>>>>>> The maven artifacts are available via repository.apache.org at
>>>>>>>> https://repository.apache.org/content/repositories/orgapachehadoop-1017/
>>>>>>>> 
>>>>>>>> As discussed before
>>>>>>>> - This release will only work with JDK 1.7 and above
>>>>>>>> - I’d like to use this as a starting release for 2.7.x [1], depending 
>>>>>>>> on
>>>>>>>> how it goes, get it stabilized and potentially use a 2.7.1 in a few
>>>>>>>> weeks as the stable release.
>>>>>>>> 
>>>>>>>> Please try the release and vote; the vote will run for the usual 5 
>>>>>>>> days.
>>>>>>>> 
>>>>>>>> Thanks,
>>>>>>>> Vinod
>>>>>>>> 
>>>>>>>> [1]: A 2.7.1 release to follow up 2.7.0
>>>>>>>> http://markmail.org/thread/zwzze6cqqgwq4rmw
>>>>>>> 
>>>>>> 
>>>> 
> 

Reply via email to