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From Andrew Wang <andrew.w...@cloudera.com>
Subject Re: [VOTE] Release Apache Hadoop 3.0.0 RC0
Date Fri, 17 Nov 2017 23:26:50 GMT
Hi Arpit,

I agree the timing is not great here, but extending it to meaningfully
avoid the holidays would mean extending it an extra week (e.g. to the
29th). We've been coordinating with ASF PR for that Tuesday, so I'd really,
really like to get the RC out before then.

In terms of downstream testing, we've done extensive integration testing
with downstreams via the alphas and betas, and we have continuous
integration running at Cloudera against branch-3.0. Because of this, I have
more confidence in our integration for 3.0.0 than most Hadoop releases.

Is it meaningful to extend to say, the 21st, which provides for a full week
of voting?


On Fri, Nov 17, 2017 at 1:27 PM, Arpit Agarwal <aagarwal@hortonworks.com>

> Hi Andrew,
> Thank you for your hard work in getting us to this step. This is our first
> major GA release in many years.
> I feel a 5-day vote window ending over the weekend before thanksgiving may
> not provide sufficient time to evaluate this RC especially for downstream
> components.
> Would you please consider extending the voting deadline until a few days
> after the thanksgiving holiday? It would be a courtesy to our broader
> community and I see no harm in giving everyone a few days to evaluate it
> more thoroughly.
> On a lighter note, your deadline is also 4 minutes short of the required 5
> days. :)
> Regards,
> Arpit
> On 11/14/17, 1:34 PM, "Andrew Wang" <andrew.wang@cloudera.com> wrote:
>     Hi folks,
>     Thanks as always to the many, many contributors who helped with this
>     release. I've created RC0 for Apache Hadoop 3.0.0. The artifacts are
>     available here:
>     http://people.apache.org/~wang/3.0.0-RC0/
>     This vote will run 5 days, ending on Nov 19th at 1:30pm Pacific.
>     3.0.0 GA contains 291 fixed JIRA issues since 3.0.0-beta1. Notable
>     additions include the merge of YARN resource types, API-based
> configuration
>     of the CapacityScheduler, and HDFS router-based federation.
>     I've done my traditional testing with a pseudo cluster and a Pi job.
> My +1
>     to start.
>     Best,
>     Andrew

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