t; Hadoop Common , "yarn-...@hadoop.apache.org"
> , Hdfs-dev , "
> mapreduce-...@hadoop.apache.org"
> *Subject: *Re: [DISCUSS] Making submarine to different release model like
> Ozone
>
>
>
> Thanks everyone for sharing thoughts!
>
>
>
> Eric, appr
AM
To: Eric Yang
Cc: Weiwei Yang , Xun Liu , Hadoop
Common , "yarn-...@hadoop.apache.org"
, Hdfs-dev ,
"mapreduce-...@hadoop.apache.org"
Subject: Re: [DISCUSS] Making submarine to different release model like Ozone
Thanks everyone for sharing thoughts!
Eric, appreciate y
+1.
I like the idea.
For me, submarine/ML-job-execution seems to be a natural extension of
the existing Hadoop/Yarn capabilities.
And like the proposed project structure / release lifecycle, too. I
think it's better to be more modularized but keep the development in the
same project. IMHO it wor
This is a great proposal. +1.
Thanks,
Hanisha
On 2/1/19, 11:04 AM, "Bharat Viswanadham" wrote:
>Thank You Wangda for driving this discussion.
>+1 for a separate release for submarine.
>Having own release cadence will help iterate the project to grow at a faster
>pace and also get the n
Thank You Wangda for driving this discussion.
+1 for a separate release for submarine.
Having own release cadence will help iterate the project to grow at a faster
pace and also get the new features in hand to the users, and get their feedback
quickly.
Thanks,
Bharat
On 2/1/19, 10:54 AM, "
+1, thanks for bringing this up, Wangda. This will help expanding the Hadoop
ecosystem by supporting new AI/ML workloads.
Thanks,
Xiaoyu
On 2/1/19, 10:58 AM, "Dinesh Chitlangia" wrote:
+1 This is a fantastic recommendation given the increasing interest in ML
across the globe.
Th
+1 This is a fantastic recommendation given the increasing interest in ML
across the globe.
Thanks,
Dinesh
On 2/1/19, 1:54 PM, "Ajay Kumar" wrote:
+1, Thanks for driving this. With rise of use cases running ML along with
traditional applications this will be of great help.
Than
+1, Thanks for driving this. With rise of use cases running ML along with
traditional applications this will be of great help.
Thanks,
Ajay
On 2/1/19, 10:49 AM, "Suma Shivaprasad" wrote:
+1. Thanks for bringing this up Wangda.
Makes sense to have Submarine follow its own relea
Thanks everyone for sharing thoughts!
Eric, appreciate your suggestions. But there are many examples to have
separate releases, like Hive's storage API, OZone, etc. For loosely coupled
sub-projects, it gonna be great (at least for most of the users) to have
separate releases so new features can be
+1. Thanks for bringing this up Wangda.
Makes sense to have Submarine follow its own release cadence given the good
momentum/adoption so far. Also, making it run with older versions of Hadoop
would drive higher adoption.
Suma
On Fri, Feb 1, 2019 at 9:40 AM Eric Yang wrote:
> Submarine is an ap
Submarine is an application built for YARN framework, but it does not have
strong dependency on YARN development. For this kind of projects, it would be
best to enter Apache Incubator cycles to create a new community. Apache
commons is the only project other than Incubator that has independent
+1
Does Submarine support Jupyter?
On Fri, Feb 1, 2019 at 8:54 AM Zhe Zhang wrote:
> +1 on the proposal and looking forward to the progress of the project!
>
> On Thu, Jan 31, 2019 at 10:51 PM Weiwei Yang wrote:
>
> > Thanks for proposing this Wangda, my +1 as well.
> > It is amazing to see th
+1 on the proposal and looking forward to the progress of the project!
On Thu, Jan 31, 2019 at 10:51 PM Weiwei Yang wrote:
> Thanks for proposing this Wangda, my +1 as well.
> It is amazing to see the progress made in Submarine last year, the
> community grows fast and quiet collaborative. I can
Thanks for proposing this Wangda, my +1 as well.
It is amazing to see the progress made in Submarine last year, the community
grows fast and quiet collaborative. I can see the reasons to get it release
faster in its own cycle. And at the same time, the Ozone way works very well.
—
Weiwei
On Feb
+1
Hello everyone,
I am Xun Liu, the head of the machine learning team at Netease Research
Institute. I quite agree with Wangda.
Our team is very grateful for getting Submarine machine learning engine from
the community.
We are heavy users of Submarine.
Because Submarine fits into the dire
+1. I'm from DiDi, and we plan to deploy Submarine. Making Submarine to
different release is more agile, and we'd like to join the develop with
community.
runlin zhang 于2019年2月1日周五 上午10:31写道：
> +1, It is very necessary to use Submarine on older Hadoop. What's more,
> the development of deep l
+1, It is very necessary to use Submarine on older Hadoop. What's more, the
development of deep learning is too fast, and Submarine must keep faster
release iterate .
> 在 2019年2月1日，上午2:53，Wangda Tan 写道：
>
> Hi devs,
>
> Since we started submarine-related effort last year, we received a
+1 from me on this.
ML/DL is one of the fast growing areas and a runtime on YARN helps customers
to have ML/DL workloads to run on same cluster where the ETL or other
traditional
big data workloads ingest or mine data.
Faster release cadence can pace up the development for Submarine and more
agile
+1, Few interested ML/DL folks from Banglore asked about Submarine release
for trying out TensorFlow on YARN. We told them wait for release since they
were not ready to use trunk. I see agile release cycle for Submarine brings
lot of added value.
-Rohith Sharma K S
On Fri, 1 Feb 2019 at 00:34, Wa
Thanks for bringing this up Wangda. +1
Makes a lot of sense to have Submarine follow its own release cadence - for
all the reasons you outlined.
I would one up this proposal to ask why shouldn't we allow YARN to have its
own releases as well - but that is for a separate thread :)
Cheers
-Arun
On
>> I propose to adopt Ozone model: which is the same master branch, different
>> release cycle, and different release branch. It is a great example to show
>> agile release we can do (2 Ozone releases after Oct 2018) with less
>> overhead to setup CI, projects, etc.
I second this, especially this
+1. This is important for improving the deep learning on hadoop story.
There's recently a lot of momentum for this, and decoupling
submarine/hadoop will help it continue.
Jonathan Hung
On Thu, Jan 31, 2019 at 11:04 AM Wangda Tan wrote:
> Hi devs,
>
> Since we started submarine-related effort l
Hi devs,
Since we started submarine-related effort last year, we received a lot of
feedbacks, several companies (such as Netease, China Mobile, etc.) are
trying to deploy Submarine to their Hadoop cluster along with big data
workloads. Linkedin also has big interests to contribute a Submarine Ton
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