+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 <ey...@hortonworks.com> wrote: > 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 > release cycles. The collection is large, and the project goal is > ambitious. No one really knows which component works with each other in > Apache commons. Hadoop is a much more focused project on distributed > computing framework and not incubation sandbox. For alignment with Hadoop > goals, and we want to prevent Hadoop project to be overloaded while > allowing good ideas to be carried forwarded in Apache incubator. Put on my > Apache Member hat, my vote is -1 to allow more independent subproject > release cycle in Hadoop project that does not align with Hadoop project > goals. > > Apache incubator process is highly recommended for Submarine: > https://incubator.apache.org/policy/process.html This allows Submarine to > develop for older version of Hadoop like Spark works with multiple versions > of Hadoop. > > Regards, > Eric > > On 1/31/19, 10:51 PM, "Weiwei Yang" <abvclo...@gmail.com> 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 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, 2019, 10:49 AM +0800, Xun Liu <neliu...@163.com>, wrote: > > +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 direction of our big data team's > hadoop technology stack, > > It avoids the needs to increase the manpower investment in learning > other container scheduling systems. > > The important thing is that we can use a common YARN cluster to run > machine learning, > > which makes the utilization of server resources more efficient, and > reserves a lot of human and material resources in our previous years. > > > > Our team have finished the test and deployment of the Submarine and > will provide the service to our e-commerce department ( > http://www.kaola.com/) shortly. > > > > We also plan to provides the Submarine engine in our existing YARN > cluster in the next six months. > > Because we have a lot of product departments need to use machine > learning services, > > for example: > > 1) Game department (http://game.163.com/) needs AI battle training, > > 2) News department (http://www.163.com) needs news recommendation, > > 3) Mailbox department (http://www.163.com) requires anti-spam and > illegal detection, > > 4) Music department (https://music.163.com/) requires music > recommendation, > > 5) Education department (http://www.youdao.com) requires voice > recognition, > > 6) Massive Open Online Courses (https://open.163.com/) requires > multilingual translation and so on. > > > > If Submarine can be released independently like Ozone, it will help > us quickly get the latest features and improvements, and it will be great > helpful to our team and users. > > > > Thanks hadoop Community! > > > > > > > 在 2019年2月1日，上午2:53，Wangda Tan <wheele...@gmail.com> 写道： > > > > > > 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 TonY ( > > > https://github.com/linkedin/TonY) runtime to allow users to use > the same > > > interface. > > > > > > From what I can see, there're several issues of putting Submarine > under > > > yarn-applications directory and have same release cycle with > Hadoop: > > > > > > 1) We started 3.2.0 release at Sep 2018, but the release is done > at Jan > > > 2019. Because of non-predictable blockers and security issues, it > got > > > delayed a lot. We need to iterate submarine fast at this point. > > > > > > 2) We also see a lot of requirements to use Submarine on older > Hadoop > > > releases such as 2.x. Many companies may not upgrade Hadoop to 3.x > in a > > > short time, but the requirement to run deep learning is urgent to > them. We > > > should decouple Submarine from Hadoop version. > > > > > > And why we wanna to keep it within Hadoop? First, Submarine > included some > > > innovation parts such as enhancements of user experiences for YARN > > > services/containerization support which we can add it back to > Hadoop later > > > to address common requirements. In addition to that, we have a big > overlap > > > in the community developing and using it. > > > > > > There're several proposals we have went through during Ozone merge > to trunk > > > discussion: > > > > https://mail-archives.apache.org/mod_mbox/hadoop-common-dev/201803.mbox/%3ccahfhakh6_m3yldf5a2kq8+w-5fbvx5ahfgs-x1vajw8gmnz...@mail.gmail.com%3E > > > > > > 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. > > > > > > *Links:* > > > - JIRA: https://issues.apache.org/jira/browse/YARN-8135 > > > - Design doc > > > < > https://docs.google.com/document/d/199J4pB3blqgV9SCNvBbTqkEoQdjoyGMjESV4MktCo0k/edit > > > > > - User doc > > > < > https://hadoop.apache.org/docs/r3.2.0/hadoop-yarn/hadoop-yarn-applications/hadoop-yarn-submarine/Index.html > > > > > (3.2.0 > > > release) > > > - Blogposts, {Submarine} : Running deep learning workloads on > Apache Hadoop > > > < > https://hortonworks.com/blog/submarine-running-deep-learning-workloads-apache-hadoop/ > >, > > > (Chinese Translation: Link <https://www.jishuwen.com/d/2Vpu>) > > > - Talks: Strata Data Conf NY > > > < > https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/detail/68289 > > > > > > > > Thoughts? > > > > > > Thanks, > > > Wangda Tan > > > > > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: hdfs-dev-unsubscr...@hadoop.apache.org > > For additional commands, e-mail: hdfs-dev-h...@hadoop.apache.org > > > > >
