Re: [VOTE] Graduate Apache Mnemonic project from Incubator

[Tsuyoshi Ozawa]

+1 (non-binding)

Best regards,
- Tsuyoshi

On Fri, Sep 22, 2017 at 2:12 PM, Wen Tong  wrote:
> +1
>
> On Sep 21, 2017 9:37 PM, "GanhuaGmail"  wrote:
>
>> +1
>>
>> Kind Regards,
>> Ganhua Zhang
>>
>>
>> > On Sep 21, 2017, at 21:32, Rakesh Radhakrishnan 
>> wrote:
>> >
>> > +1 (non-binding)
>> >
>> > Thanks,
>> > Rakesh
>> >
>> > On 2017-09-19 22:46, "Gang(Gary) Wang"  wrote:
>> >> Hello IPMC and everyone,
>> >>
>> >> The Mnemonic community has voted on its Dev list to graduate, The vote
>> >> passed with
>> >> 14 +1s (including  +9s from the PPMC) and 0 -1s.
>> >>
>> >> Here is the vote result thread in the Dev list:
>> >> https://lists.apache.org/thread.html/bbc187108b73d57fddec0d6a6c2945
>> 27b626c7c439a7cdab991ea84e@%3Cdev.mnemonic.apache.org%3E
>> >>
>> >> and the vote thread:
>> >> https://lists.apache.org/thread.html/a49e82d507bb00839413e90b05cb8b
>> 9448ea242aeb021622f5deb323@%3Cdev.mnemonic.apache.org%3E
>> >>
>> >> With the discussion having settled down, I would now like to call for
>> >> a recommendation VOTE to present the ASF board with the following
>> >> resolution
>> >> to graduate from incubation and establish Apache Mnemonic
>> >> as a top-level project (TLP).
>> >> https://lists.apache.org/thread.html/94664579041db58bfe2893af6e9d54
>> 957652653b278d4007e914c672@%3Cgeneral.incubator.apache.org%3E
>> >>
>> >> Apache Mnemonic entered incubation in March 2016. Since then there have
>> >> been nine releases and four committers and two PMC candidate members
>> >> have been added to the project. For each release, source artifacts
>> >> have been made available. Based on the completed maturity evaluation,
>> >> we believe that the project is ready to graduate from the incubator.
>> >> More checklist info about graduation, please refer to
>> >> https://cwiki.apache.org/confluence/display/MNEMONIC/
>> Maturity+Evaluation
>> >>
>> >> Please vote on whether to graduate Mnemonic from incubator and
>> >> recommend the following graduation resolution to the ASF Board.
>> >>
>> >> [ ] +1 Graduate Apache Mnemonic from the Incubator
>> >> [ ] +0 Don't care
>> >> [ ] -1 Don't graduate Apache Mnemonic from the Incubator because...
>> >>
>> >> This VOTE will be open for at least 72 hours.
>> >> Thanks to all Mentors and Apache Mnemonic Project members
>> >> for their support and contributions again.
>> >>
>> >> The full text of the resolution is below.
>> >> If approved by the Apache Incubator PMC members,
>> >> the proposed resolution will be submitted to
>> >> the Board of Directors for their consideration.
>> >> --
>> >> Establish the Apache Mnemonic Project
>> >>
>> >> WHEREAS, the Board of Directors deems it to be in the best interests of
>> >> the Foundation and consistent with the Foundation's purpose to establish
>> >> a Project Management Committee charged with the creation and maintenance
>> >> of open-source software, for distribution at no charge to the public,
>> >> related to a transparent nonvolatile hybrid memory oriented library for
>> >> Big data, High-performance computing, and Analytics.
>> >>
>> >> NOW, THEREFORE, BE IT RESOLVED, that a Project Management Committee
>> >> (PMC), to be known as the "Apache Mnemonic Project", be and hereby is
>> >> established pursuant to Bylaws of the Foundation, and be it further
>> >>
>> >> RESOLVED, that the Apache Mnemonic Project be and hereby is responsible
>> >> for the creation and maintenance of software related to a transparent
>> >> nonvolatile hybrid memory oriented library for Big data,
>> >> High-performance computing and Analytics; and be it further
>> >>
>> >> RESOLVED, that the office of "Vice President, Apache Mnemonic" be and
>> >> hereby is created, the person holding such office to serve at the
>> >> direction of the Board of Directors as the chair of the Apache Mnemonic
>> >> Project, and to have primary responsibility for management of the
>> >> projects within the scope of responsibility of the Apache Mnemonic
>> >> Project, and be it further
>> >>
>> >> RESOLVED, that the persons listed immediately below be and hereby are
>> >> appointed to serve as the initial members of the Apache Mnemonic
>> >> Project:
>> >>
>> >> * Andrew Kyle Purtell  
>> >> * Debojyoti Dutta  
>> >> * Gang Wang
>> >> * Hao Cheng
>> >> * James R. Taylor  
>> >> * Johnu George 
>> >> * Kai Zheng
>> >> * Patrick D. Hunt  
>> >> * Rakesh Radhakrishnan 
>> >> * Uma Maheswara Rao G  
>> >> * Yanping Wang 
>> >>
>> >> NOW, THEREFORE, BE IT FURTHER RESOLVED, that Gang Wang be appointed to
>> >> the office of Vice President, Apache Mnemonic, to 

Re: [DISCUSS] Proposing MXNet for the Apache Incubator

[Tsuyoshi Ozawa]

Hi Henri,

My previous comment was just a review comment against the proposal,
but I forgot to mentioning importance thing.

> Currently the list of committers is based on the current active coders, so
> we're also very interested in hearing from anyone else who is interested in
> working on the project, be they current or future contributor!

I'm also interested in working on MXNet :-)

Thanks,
- Tsuyoshi

On Thu, Jan 12, 2017 at 3:43 PM, 项亮  wrote:
> I would like to volunteer as a committer for MXNet
>
> github id: xlvector
> email: xlvec...@gmail.com
>
> Liang Xiang from Toutiao Lab
>
> On 2017-01-06 13:12 (+0800), Henri Yandell  wrote:
>> Hello Incubator,
>>
>> I'd like to propose a new incubator Apache MXNet podling.
>>
>> The existing MXNet project (http://mxnet.io - 1.5 years old, 15 committers,
>> 200 contributors) is very interested in joining Apache. MXNet is an
>> open-source deep learning framework that allows you to define, train, and
>> deploy deep neural networks on a wide array of devices, from cloud
>> infrastructure to mobile devices.
>>
>> The wiki proposal page is located here:
>>
>>   https://wiki.apache.org/incubator/MXNetProposal
>>
>> I've included the text below in case anyone wants to focus on parts of it
>> in a reply.
>>
>> Looking forward to your thoughts, and for lots of interested Apache members
>> to volunteer to mentor the project in addition to Sebastian and myself.
>>
>> Currently the list of committers is based on the current active coders, so
>> we're also very interested in hearing from anyone else who is interested in
>> working on the project, be they current or future contributor!
>>
>> Thanks,
>>
>> Hen
>> On behalf of the MXNet project
>>
>> -
>>
>> = MXNet: Apache Incubator Proposal =
>>
>> == Abstract ==
>>
>> MXNet is a Flexible and Efficient Library for Deep Learning
>>
>> == Proposal ==
>>
>> MXNet is an open-source deep learning framework that allows you to define,
>> train, and deploy deep neural networks on a wide array of devices, from
>> cloud infrastructure to mobile devices. It is highly scalable, allowing for
>> fast model training, and supports a flexible programming model and multiple
>> languages. MXNet allows you to mix symbolic and imperative programming
>> flavors to maximize both efficiency and productivity. MXNet is built on a
>> dynamic dependency scheduler that automatically parallelizes both symbolic
>> and imperative operations on the fly. A graph optimization layer on top of
>> that makes symbolic execution fast and memory efficient. The MXNet library
>> is portable and lightweight, and it scales to multiple GPUs and multiple
>> machines.
>>
>> == Background ==
>>
>> Deep learning is a subset of Machine learning and refers to a class of
>> algorithms that use a hierarchical approach with non-linearities to
>> discover and learn representations within data. Deep Learning has recently
>> become very popular due to its applicability and advancement of domains
>> such as Computer Vision, Speech Recognition, Natural Language Understanding
>> and Recommender Systems. With pervasive and cost effective cloud computing,
>> large labeled datasets and continued algorithmic innovation, Deep Learning
>> has become the one of the most popular classes of algorithms for machine
>> learning practitioners in recent years.
>>
>> == Rational ==
>>
>> The adoption of deep learning is quickly expanding from initial deep domain
>> experts rooted in academia to data scientists and developers working to
>> deploy intelligent services and products. Deep learning however has many
>> challenges.  These include model training time (which can take days to
>> weeks), programmability (not everyone writes Python or C++ and like
>> symbolic programming) and balancing production readiness (support for
>> things like failover) with development flexibility (ability to program
>> different ways, support for new operators and model types) and speed of
>> execution (fast and scalable model training).  Other frameworks excel on
>> some but not all of these aspects.
>>
>>
>> == Initial Goals ==
>>
>> MXNet is a fairly established project on GitHub with its first code
>> contribution in April 2015 and roughly 200 contributors. It is used by
>> several large companies and some of the top research institutions on the
>> planet. Initial goals would be the following:
>>
>>  1. Move the existing codebase(s) to Apache
>>  1. Integrate with the Apache development process/sign CLAs
>>  1. Ensure all dependencies are compliant with Apache License version 2.0
>>  1. Incremental development and releases per Apache guidelines
>>  1. Establish engineering discipline and a predictable release cadence of
>> high quality releases
>>  1. Expand the community beyond the current base of expert level users
>>  1. Improve usability and the overall developer/user experience
>>  1. Add additional functionality to address newer problem types and
>> 

Re: Add to mxnet-dev; mxnet-private

[Tsuyoshi Ozawa]

Hi Wang,

The mailing list for MXNet will be created when the project is
accepted as Apache Incubator Podling. It's under discussion.

Thanks,
- Tsuyoshi



On Thu, Jan 12, 2017 at 5:49 PM, Wang Haoran  wrote:
> Hi,
>
>
> I'm Haoran Wang, one of the member in DMLC. Could you please add this address 
> to the mailing list of mxnet.
>
>
> Thanks,
>
> Haoran

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Re: Request to join IPMC

[Tsuyoshi Ozawa]

+1 (non-binding)

Markus helps us when making Hivemall the Apache Incubator podling. He
is also PPMC of Apache REEF project. His record is enough to become
IPMC.

Thanks,
- Tsuyoshi

On Sat, Jan 7, 2017 at 2:20 AM, Markus Weimer  wrote:
> Hi,
>
> I'm an Apache member and am already helping the Hivemall project as a
> mentor. It is about time I join the IPMC :)
>
> Thanks,
>
> Markus
>
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> For additional commands, e-mail: general-h...@incubator.apache.org
>

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Re: [DISCUSS] Proposing MXNet for the Apache Incubator

[Tsuyoshi Ozawa]

Apache SystemML(incubating) is also a flexible, scalable machine
learning system[4].

> Apache SystemML provides an optimal workplace for machine learning using big 
> data. It can be run on top of Apache Spark, where it automatically scales 
> your data, line by line, determining whether your code should be run on the 
> driver or an Apache Spark cluster.

[4] https://systemml.apache.org/

Thanks,
- Tsuyoshi

On Fri, Jan 6, 2017 at 6:11 PM, Tsuyoshi Ozawa <oz...@apache.org> wrote:
> Hi Henri,
>
> It's a great news! Looking forwarding to MXNet's coming to Apache Incubator 
> :-)
>
> Two minor comments:
>
>> We currently use Github to maintain our source code,
>> https://github.com/MXNet
>
> In my understanding, the following url is correct one.
> https://github.com/dmlc/mxnet
>
>> === Relationship with Other Apache Products ===
>
> As far as I know, there are 2 additional machine learning libraries in
> addition to the projects you mentioned.
> Apache MADlib(incubating)[1] is a machine learning library, which can
> run on SQL system(Greenplum/Apache HAWQ(incubating)/PostgreSQL).
> Apache Hivemall(incubating)[2] are also machine learning library,
> which can run on Hadoop ecosystem: Apache Spark/Apache Hive/Apache
> Pig. Especially for Hivemall project, it has MIX server, one kind of
> parameter server to exchange parameters between mappers[3].
>
> This is just a sharing, and I don't mean you should add these projects
> to your comment.
>
> [1] http://madlib.incubator.apache.org/
> [2] https://hivemall.incubator.apache.org/
> [3] https://hivemall.incubator.apache.org/userguide/tips/mixserver.html
>
> Thanks,
> - Tsuyoshi
>
> On Fri, Jan 6, 2017 at 4:32 PM, Henry Saputra <henry.sapu...@gmail.com> wrote:
>> This is great news and I am looking forward to it =)
>>
>> According to proposal, the community want to stick with Github issues for
>> tracking issues and bugs?
>> I suppose this needs a nod by Greg Stein as rep from Apache Infra to
>> confirm that this is ok for incubation and how would it impact during
>> graduation.
>>
>> - Henry
>>
>> On Thu, Jan 5, 2017 at 9:12 PM, Henri Yandell <bay...@apache.org> wrote:
>>
>>> Hello Incubator,
>>>
>>> I'd like to propose a new incubator Apache MXNet podling.
>>>
>>> The existing MXNet project (http://mxnet.io - 1.5 years old, 15
>>> committers,
>>> 200 contributors) is very interested in joining Apache. MXNet is an
>>> open-source deep learning framework that allows you to define, train, and
>>> deploy deep neural networks on a wide array of devices, from cloud
>>> infrastructure to mobile devices.
>>>
>>> The wiki proposal page is located here:
>>>
>>>   https://wiki.apache.org/incubator/MXNetProposal
>>>
>>> I've included the text below in case anyone wants to focus on parts of it
>>> in a reply.
>>>
>>> Looking forward to your thoughts, and for lots of interested Apache members
>>> to volunteer to mentor the project in addition to Sebastian and myself.
>>>
>>> Currently the list of committers is based on the current active coders, so
>>> we're also very interested in hearing from anyone else who is interested in
>>> working on the project, be they current or future contributor!
>>>
>>> Thanks,
>>>
>>> Hen
>>> On behalf of the MXNet project
>>>
>>> -
>>>
>>> = MXNet: Apache Incubator Proposal =
>>>
>>> == Abstract ==
>>>
>>> MXNet is a Flexible and Efficient Library for Deep Learning
>>>
>>> == Proposal ==
>>>
>>> MXNet is an open-source deep learning framework that allows you to define,
>>> train, and deploy deep neural networks on a wide array of devices, from
>>> cloud infrastructure to mobile devices. It is highly scalable, allowing for
>>> fast model training, and supports a flexible programming model and multiple
>>> languages. MXNet allows you to mix symbolic and imperative programming
>>> flavors to maximize both efficiency and productivity. MXNet is built on a
>>> dynamic dependency scheduler that automatically parallelizes both symbolic
>>> and imperative operations on the fly. A graph optimization layer on top of
>>> that makes symbolic execution fast and memory efficient. The MXNet library
>>> is portable and lightweight, and it scales to multiple GPUs and multiple
>>> machines.
>>>
>>> == Background ==
>>>
>>> Deep learning is a subset of Mach

Re: [DISCUSS] Proposing MXNet for the Apache Incubator

[Tsuyoshi Ozawa]

Hi Henri,

It's a great news! Looking forwarding to MXNet's coming to Apache Incubator :-)

Two minor comments:

> We currently use Github to maintain our source code,
> https://github.com/MXNet

In my understanding, the following url is correct one.
https://github.com/dmlc/mxnet

> === Relationship with Other Apache Products ===

As far as I know, there are 2 additional machine learning libraries in
addition to the projects you mentioned.
Apache MADlib(incubating)[1] is a machine learning library, which can
run on SQL system(Greenplum/Apache HAWQ(incubating)/PostgreSQL).
Apache Hivemall(incubating)[2] are also machine learning library,
which can run on Hadoop ecosystem: Apache Spark/Apache Hive/Apache
Pig. Especially for Hivemall project, it has MIX server, one kind of
parameter server to exchange parameters between mappers[3].

This is just a sharing, and I don't mean you should add these projects
to your comment.

[1] http://madlib.incubator.apache.org/
[2] https://hivemall.incubator.apache.org/
[3] https://hivemall.incubator.apache.org/userguide/tips/mixserver.html

Thanks,
- Tsuyoshi

On Fri, Jan 6, 2017 at 4:32 PM, Henry Saputra  wrote:
> This is great news and I am looking forward to it =)
>
> According to proposal, the community want to stick with Github issues for
> tracking issues and bugs?
> I suppose this needs a nod by Greg Stein as rep from Apache Infra to
> confirm that this is ok for incubation and how would it impact during
> graduation.
>
> - Henry
>
> On Thu, Jan 5, 2017 at 9:12 PM, Henri Yandell  wrote:
>
>> Hello Incubator,
>>
>> I'd like to propose a new incubator Apache MXNet podling.
>>
>> The existing MXNet project (http://mxnet.io - 1.5 years old, 15
>> committers,
>> 200 contributors) is very interested in joining Apache. MXNet is an
>> open-source deep learning framework that allows you to define, train, and
>> deploy deep neural networks on a wide array of devices, from cloud
>> infrastructure to mobile devices.
>>
>> The wiki proposal page is located here:
>>
>>   https://wiki.apache.org/incubator/MXNetProposal
>>
>> I've included the text below in case anyone wants to focus on parts of it
>> in a reply.
>>
>> Looking forward to your thoughts, and for lots of interested Apache members
>> to volunteer to mentor the project in addition to Sebastian and myself.
>>
>> Currently the list of committers is based on the current active coders, so
>> we're also very interested in hearing from anyone else who is interested in
>> working on the project, be they current or future contributor!
>>
>> Thanks,
>>
>> Hen
>> On behalf of the MXNet project
>>
>> -
>>
>> = MXNet: Apache Incubator Proposal =
>>
>> == Abstract ==
>>
>> MXNet is a Flexible and Efficient Library for Deep Learning
>>
>> == Proposal ==
>>
>> MXNet is an open-source deep learning framework that allows you to define,
>> train, and deploy deep neural networks on a wide array of devices, from
>> cloud infrastructure to mobile devices. It is highly scalable, allowing for
>> fast model training, and supports a flexible programming model and multiple
>> languages. MXNet allows you to mix symbolic and imperative programming
>> flavors to maximize both efficiency and productivity. MXNet is built on a
>> dynamic dependency scheduler that automatically parallelizes both symbolic
>> and imperative operations on the fly. A graph optimization layer on top of
>> that makes symbolic execution fast and memory efficient. The MXNet library
>> is portable and lightweight, and it scales to multiple GPUs and multiple
>> machines.
>>
>> == Background ==
>>
>> Deep learning is a subset of Machine learning and refers to a class of
>> algorithms that use a hierarchical approach with non-linearities to
>> discover and learn representations within data. Deep Learning has recently
>> become very popular due to its applicability and advancement of domains
>> such as Computer Vision, Speech Recognition, Natural Language Understanding
>> and Recommender Systems. With pervasive and cost effective cloud computing,
>> large labeled datasets and continued algorithmic innovation, Deep Learning
>> has become the one of the most popular classes of algorithms for machine
>> learning practitioners in recent years.
>>
>> == Rational ==
>>
>> The adoption of deep learning is quickly expanding from initial deep domain
>> experts rooted in academia to data scientists and developers working to
>> deploy intelligent services and products. Deep learning however has many
>> challenges.  These include model training time (which can take days to
>> weeks), programmability (not everyone writes Python or C++ and like
>> symbolic programming) and balancing production readiness (support for
>> things like failover) with development flexibility (ability to program
>> different ways, support for new operators and model types) and speed of
>> execution (fast and scalable model training).  Other frameworks excel on
>> some 

Re: [VOTE] Accept PredictionIO into the Apache Incubator

[Tsuyoshi Ozawa]

+1 (non-binding)
- Tsuyoshi

On Wed, May 25, 2016 at 1:00 PM, Reynold Xin  wrote:
> +1 (binding)
>
>
> On Mon, May 23, 2016 at 3:22 PM, Andrew Purtell  wrote:
>
>> Since discussion on the matter of PredictionIO has died down, I would like
>> to call a VOTE
>> on accepting PredictionIO into the Apache Incubator.
>>
>> Proposal: https://wiki.apache.org/incubator/PredictionIO
>>
>> [ ] +1 Accept PredictionIO into the Apache Incubator
>> [ ] +0 Abstain
>> [ ] -1 Do not accept PredictionIO into the Apache Incubator, because ...
>>
>> This vote will be open for at least 72 hours.
>>
>> My vote is +1 (binding)
>>
>> --
>>
>> PredictionIO Proposal
>>
>> Abstract
>>
>> PredictionIO is an open source Machine Learning Server built on top of
>> state-of-the-art open source stack, that enables developers to manage and
>> deploy production-ready predictive services for various kinds of machine
>> learning tasks.
>>
>> Proposal
>>
>> The PredictionIO platform consists of the following components:
>>
>>* PredictionIO framework - provides the machine learning stack for
>>  building, evaluating and deploying engines with machine learning
>>  algorithms. It uses Apache Spark for processing.
>>
>>* Event Server - the machine learning analytics layer for unifying
>> events
>>  from multiple platforms. It can use Apache HBase or any JDBC backends
>>  as its data store.
>>
>> The PredictionIO community also maintains a Template Gallery, a place to
>> publish and download (free or proprietary) engine templates for different
>> types of machine learning applications, and is a complemental part of the
>> project. At this point we exclude the Template Gallery from the proposal,
>> as it has a separate set of contributors and we’re not familiar with an
>> Apache approved mechanism to maintain such a gallery.
>>
>> Background
>>
>> PredictionIO was started with a mission to democratize and bring machine
>> learning to the masses.
>>
>> Machine learning has traditionally been a luxury for big companies like
>> Google, Facebook, and Netflix. There are ML libraries and tools lying
>> around the internet but the effort of putting them all together as a
>> production-ready infrastructure is a very resource-intensive task that is
>> remotely reachable by individuals or small businesses.
>>
>> PredictionIO is a production-ready, full stack machine learning system that
>> allows organizations of any scale to quickly deploy machine learning
>> capabilities. It comes with official and community-contributed machine
>> learning engine templates that are easy to customize.
>>
>> Rationale
>>
>> As usage and number of contributors to PredictionIO has grown bigger and
>> more diverse, we have sought for an independent framework for the project
>> to keep thriving. We believe the Apache foundation is a great fit. Joining
>> Apache would ensure that tried and true processes and procedures are in
>> place for the growing number of organizations interested in contributing
>> to PredictionIO. PredictionIO is also a good fit for the Apache foundation.
>> PredictionIO was built on top of several Apache projects (HBase, Spark,
>> Hadoop). We are familiar with the Apache process and believe that the
>> democratic and meritocratic nature of the foundation aligns with the
>> project goals.
>>
>> Initial Goals
>>
>> The initial milestones will be to move the existing codebase to Apache and
>> integrate with the Apache development process. Once this is accomplished,
>> we plan for incremental development and releases that follow the Apache
>> guidelines, as well as growing our developer and user communities.
>>
>> Current Status
>>
>> PredictionIO has undergone nine minor releases and many patches.
>> PredictionIO is being used in production by Salesforce.com as well as many
>> other organizations and apps. The PredictionIO codebase is currently
>> hosted at GitHub, which will form the basis of the Apache git repository.
>>
>> Meritocracy
>>
>> We plan to invest in supporting a meritocracy. We will discuss the
>> requirements in an open forum. We intend to invite additional developers
>> to participate. We will encourage and monitor community participation so
>> that privileges can be extended to those that contribute.
>>
>> Community
>>
>> Acceptance into the Apache foundation would bolster the already strong
>> user and developer community around PredictionIO. That community includes
>> many contributors from various other companies, and an active mailing list
>> composed of hundreds of users.
>>
>> Core Developers
>>
>> The core developers of our project are listed in our contributors and
>> initial PPMC below. Though many are employed at Salesforce.com, there are
>> also engineers from ActionML, and independent developers.
>>
>> Alignment
>>
>> The ASF is the natural choice to host the PredictionIO project as its goal
>> is democratizing Machine Learning by making it more easily accessible to

Re: [VOTE] Accept Gearpump into the Apache Incubator

[Tsuyoshi Ozawa]

+1(non-binding)

- Tsuyoshi

On Fri, Mar 4, 2016 at 4:44 AM, Ted Dunning  wrote:
> +1 (binding)
>
>
>
> On Thu, Mar 3, 2016 at 9:30 AM, Hao Chen  wrote:
>
>> +1 (non-binding)
>>
>> Regards,
>> Hao
>>
>> On Thu, Mar 3, 2016 at 9:18 AM, Felix Cheung 
>> wrote:
>>
>> > +1 (non-binding)
>> >
>> > On Thu, Mar 3, 2016 at 9:03 AM Vasudevan, Ramkrishna S <
>> > ramkrishna.s.vasude...@intel.com> wrote:
>> >
>> > > +1 (non-binding)
>> > >
>> > > Regards
>> > > Ram
>> > >
>> > > -Original Message-
>> > > From: Zheng, Kai [mailto:kai.zh...@intel.com]
>> > > Sent: Wednesday, March 2, 2016 1:54 PM
>> > > To: general@incubator.apache.org
>> > > Subject: RE: [VOTE] Accept Gearpump into the Apache Incubator
>> > >
>> > > +1 (non-binding).
>> > >
>> > > Regards,
>> > > Kai
>> > >
>> > > -Original Message-
>> > > From: JiangAlan [mailto:whji...@outlook.com]
>> > > Sent: Wednesday, March 02, 2016 3:21 PM
>> > > To: general@incubator.apache.org
>> > > Subject: RE: [VOTE] Accept Gearpump into the Apache Incubator
>> > >
>> > > +1 (non-binding)
>> > >
>> > > > From: r...@databricks.com
>> > > > Date: Tue, 1 Mar 2016 23:14:30 -0800
>> > > > Subject: Re: [VOTE] Accept Gearpump into the Apache Incubator
>> > > > To: general@incubator.apache.org
>> > > >
>> > > > +1 (binding)
>> > > >
>> > > >
>> > > > On Tue, Mar 1, 2016 at 5:05 PM, James Taylor > >
>> > > wrote:
>> > > >
>> > > > > +1 (binding)
>> > > > >
>> > > > > On Tue, Mar 1, 2016 at 4:53 PM, Andrew Purtell <
>> apurt...@apache.org>
>> > > > > wrote:
>> > > > >
>> > > > > > Greetings,
>> > > > > >
>> > > > > > The discussion of the Gearpump proposal has concluded. Please
>> vote
>> > > > > > to accept Gearpump into the Apache Incubator. I will leave this
>> > > > > > vote open
>> > > > > for
>> > > > > > at least the next 72 hours and will aim to close it Monday the
>> 7th
>> > > > > > of March, 2016 at midnight PT. Gearpump is a flexible, efficient,
>> > > > > > and
>> > > > > scalable
>> > > > > > micro-service based real-time big data streaming engine. The text
>> > > > > > of the proposal is included below and is also available at
>> > > > > > https://wiki.apache.org/incubator/GearpumpProposal
>> > > > > >
>> > > > > > [ ] +1 Accept Gearpump as an Apache Incubator podling.
>> > > > > > [ ] +0 Abstain.
>> > > > > > [ ] -1 Don’t accept Gearpump as an Apache Incubator podling
>> because
>> > > ...
>> > > > > >
>> > > > > > Note that while votes from Incubator PMC members are binding, all
>> > > > > > are
>> > > > > most
>> > > > > > definitely welcome to vote!
>> > > > > >
>> > > > > > I am +1 (binding).
>> > > > > >
>> > > > > > Best regards,
>> > > > > >
>> > > > > >- Andy
>> > > > > >
>> > > > > > -
>> > > > > >
>> > > > > > = Gearpump Proposal =
>> > > > > >
>> > > > > > === Abstract ===
>> > > > > > Gearpump is a flexible, efficient and scalable micro-service
>> based
>> > > > > > real-time big data streaming engine developed by Intel
>> Corporation
>> > > > > > which has been licensed by Intel under the Apache License 2.0.
>> > > > > >
>> > > > > > === Proposal ===
>> > > > > > Gearpump is a reactive real-time streaming engine; completely
>> > > > > > based on
>> > > > > the
>> > > > > > micro-service Actor model. Gearpump provides extremely high
>> > > > > > performance stream processing while maintaining millisecond
>> latency
>> > > message delivery.
>> > > > > > It enables reusable, composable flows or partial graphs that can
>> > > > > > be remotely deployed and executed in a diverse set of
>> > > > > > environments,
>> > > > > including
>> > > > > > IoT edge devices. These flows may be deployed and modified at
>> > > > > > runtime --
>> > > > > a
>> > > > > > capability few real time streaming frameworks provide today.
>> > > > > >
>> > > > > > The goal of this proposal is to incubate Gearpump as an Apache
>> > > > > > project in order to build a diverse, healthy, and self-governed
>> > > > > > open source
>> > > > > community
>> > > > > > around this project.
>> > > > > >
>> > > > > > === Background ===
>> > > > > > In past decade, there have been many advances within real-time
>> > > > > > streaming frameworks. Despite many advances, users of streaming
>> > > > > > frameworks often complain about flexibility, efficiency, and
>> > > > > > scalability. Gearpump
>> > > > > endeavors
>> > > > > > to solve these challenges by adopting the micro-service Actor
>> > > > > > model. The Actor model was proposed by Carl Hewitt in 1973. In
>> the
>> > > > > > Actor model, each actor is a message driven micro-service; actors
>> > > > > > are the basic building blocks of concurrent computation. By
>> > > > > > leveraging Actor Model’s location transparency feature,Gearpump
>> > > > > > allows a graph to be composed of several partial graphs, where,
>> > > > > > for example, some parts may be deployed to remote IoT edge
>> > > > > > devices, and other parts to a 

Re: [VOTE] Accept Beam into the Apache Incubator

[Tsuyoshi Ozawa]

gt; community-driven, positively impactful, and innovative open source
>>>> software. While Google has taken a number of steps to advance its
>>>> various open source projects, we believe Beam is a great fit for the
>>>> Apache Software Foundation due to its focus on data processing and its
>>>> relationships to existing ASF projects.
>>>>
>>>> == Documentation ==
>>>>
>>>> The following documentation is relevant to this proposal. Relevant
>>>> portion of the documentation will be contributed to the Apache Beam
>>>> project.
>>>>
>>>>  * Dataflow website: https://cloud.google.com/dataflow
>>>>  * Dataflow programming model:
>>>> https://cloud.google.com/dataflow/model/programming-model
>>>>  * Codebases
>>>>   * Dataflow Java SDK:
>>>> https://github.com/GoogleCloudPlatform/DataflowJavaSDK
>>>>   * Flink Dataflow runner:
>>>> https://github.com/dataArtisans/flink-dataflow
>>>>   * Spark Dataflow runner: https://github.com/cloudera/spark-dataflow
>>>>  * Dataflow Java SDK issue tracker:
>>>> https://github.com/GoogleCloudPlatform/DataflowJavaSDK/issues
>>>>  * google-cloud-dataflow tag on Stack Overflow:
>>>> http://stackoverflow.com/questions/tagged/google-cloud-dataflow
>>>>
>>>> == Initial Source ==
>>>>
>>>> The initial source for Beam which we will submit to the Apache
>>>> Foundation will include several related projects which are currently
>>>> hosted on the GitHub repositories:
>>>>
>>>>  * Dataflow Java SDK
>>>> (https://github.com/GoogleCloudPlatform/DataflowJavaSDK)
>>>>  * Flink Dataflow runner (https://github.com/dataArtisans/flink-dataflow
>>>> )
>>>>  * Spark Dataflow runner (https://github.com/cloudera/spark-dataflow)
>>>>
>>>> These projects have always been Apache 2.0 licensed. We intend to bundle
>>>> all of these repositories since they are all complimentary and should be
>>>> maintained in one project. Prior to our submission, we will combine all
>>>> of these projects into a new git repository.
>>>>
>>>> == Source and Intellectual Property Submission Plan ==
>>>>
>>>> The source for the Dataflow SDK and the three runners (Spark, Flink,
>>>> Google Cloud Dataflow) are already licensed under an Apache 2 license.
>>>>
>>>>  * Dataflow SDK -
>>>> https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/LICENSE
>>>>  * Flink runner -
>>>> https://github.com/dataArtisans/flink-dataflow/blob/master/LICENSE
>>>>  * Spark runner -
>>>> https://github.com/cloudera/spark-dataflow/blob/master/LICENSE
>>>>
>>>> Contributors to the Dataflow SDK have also signed the Google Individual
>>>> Contributor License Agreement
>>>> (https://cla.developers.google.com/about/google-individual) in order to
>>>> contribute to the project.
>>>>
>>>> With respect to trademark rights, Google does not hold a trademark on
>>>> the phrase “Dataflow.” Based on feedback and guidance we receive during
>>>> the incubation process, we are open to renaming the project if necessary
>>>> for trademark or other concerns.
>>>>
>>>> == External Dependencies ==
>>>>
>>>> All external dependencies are licensed under an Apache 2.0 or
>>>> Apache-compatible license. As we grow the Beam community we will
>>>> configure our build process to require and validate all contributions
>>>> and dependencies are licensed under the Apache 2.0 license or are under
>>>> an Apache-compatible license.
>>>>
>>>> == Required Resources ==
>>>>
>>>> === Mailing Lists ===
>>>>
>>>> We currently use a mix of mailing lists. We will migrate our existing
>>>> mailing lists to the following:
>>>>
>>>>  * d...@beam.incubator.apache.org
>>>>  * u...@beam.incubator.apache.org
>>>>  * priv...@beam.incubator.apache.org
>>>>  * comm...@beam.incubator.apache.org
>>>>
>>>> === Source Control ===
>>>>
>>>> The Dataflow team currently uses Git and would like to continue to do
>>>> so. We request a Git repository for Beam with mirroring to GitHub enabled.
>>>>
>>>>  * https://git-wip-us.apache.org/repos/asf/incubator-beam.git
>>>>
>>>> === Issue Tracking ===
>>>>
>>>> We request the creation of an Apache-hosted JIRA. The Dataflow project
>>>> is currently using both a public GitHub issue tracker and internal
>>>> Google issue tracking. We will migrate and combine from these two
>>>> sources to the Apache JIRA.
>>>>
>>>>  * Jira ID: BEAM
>>>>
>>>> == Initial Committers ==
>>>>
>>>>  * Aljoscha Krettek[aljos...@apache.org]
>>>>  * Amit Sela   [amitsel...@gmail.com]
>>>>  * Ben Chambers[bchamb...@google.com]
>>>>  * Craig Chambers  [chamb...@google.com]
>>>>  * Dan Halperin[dhalp...@google.com]
>>>>  * Davor Bonaci[da...@google.com]
>>>>  * Frances Perry   [f...@google.com]
>>>>  * James Malone[jamesmal...@google.com]
>>>>  * Jean-Baptiste Onofré[jbono...@apache.org]
>>>>  * Josh Wills  [jwi...@apache.org]
>>>>  * Kostas Tzoumas  [kos...@data-artisans.com]
>>>>  * Kenneth Knowles [k...@google.com]
>>>>  * Luke Cwik   [lc...@google.com]
>>>>  * Maximilian Michels  [m...@apache.org]
>>>>  * Stephan Ewen[step...@data-artisans.com]
>>>>  * Tom White   [t...@cloudera.com]
>>>>  * Tyler Akidau[taki...@google.com]
>>>>  * Robert Bradshaw [rober...@google.com]
>>>>
>>>> == Additional Interested Contributors ==
>>>>
>>>>  * Debo Dutta  [dedu...@cisco.com]
>>>>  * Henry Saputra   [hsapu...@apache.org]
>>>>  * Taylor Goetz[ptgo...@gmail.com]
>>>>  * James Carman[ja...@carmanconsulting.com]
>>>>  * Joe Witt[joew...@apache.org]
>>>>  * Vaibhav Gumashta[vgumas...@hortonworks.com]
>>>>  * Prasanth Jayachandran   [pjayachand...@hortonworks.com]
>>>>  * Johan Edstrom   [seij...@gmail.com]
>>>>  * Hugo Louro  [hmclo...@gmail.com]
>>>>  * Krzysztof Sobkowiak [krzys.sobkow...@gmail.com]
>>>>  * Jeff Genender   [jgenen...@apache.org]
>>>>  * Edward J. Yoon  [edward.y...@samsung.com]
>>>>  * Hao Chen[h...@apache.org]
>>>>  * Byung-Gon Chun  [bgc...@gmail.com]
>>>>  * Charitha Elvitigala [charit...@apache.org]
>>>>  * Alexander Bezzubov  [b...@apache.org]
>>>>  * Tsuyoshi Ozawa  [oz...@apache.org]
>>>>  * Mayank Bansal   [maban...@gmail.com]
>>>>  * Supun Kamburugamuve [su...@apache.org]
>>>>  * Matthias Wessendorf [mat...@apache.org]
>>>>  * Felix Cheung[felixche...@apache.org]
>>>>  * Ajay Yadava [ajay.ya...@inmobi.com]
>>>>  * Liang Chen  [chenliang...@huawei.com]
>>>>  * Renaud Richardet[renaud (at) apache (dot) org]
>>>>  * Bakey Pan   [bakey1...@gmail.com]
>>>>  * Andreas Neumann [a...@apache.org]
>>>>  * Suresh Marru[sma...@apache.org]
>>>>  * Hadrian Zbarcea [hzbar...@gmail.com]
>>>>
>>>> == Affiliations ==
>>>>
>>>> The initial committers are from six organizations. Google developed
>>>> Dataflow and the Dataflow SDK, data Artisans developed the Flink runner,
>>>> and Cloudera (Labs) developed the Spark runner.
>>>>
>>>>  * Cloudera
>>>>   * Tom White
>>>>  * Data Artisans
>>>>   * Aljoscha Krettek
>>>>   * Kostas Tzoumas
>>>>   * Maximilian Michels
>>>>   * Stephan Ewen
>>>>  * Google
>>>>   * Ben Chambers
>>>>   * Dan Halperin
>>>>   * Davor Bonaci
>>>>   * Frances Perry
>>>>   * James Malone
>>>>   * Kenneth Knowles
>>>>   * Luke Cwik
>>>>   * Tyler Akidau
>>>>   * Robert Bradshaw
>>>>  * PayPal
>>>>   * Amit Sela
>>>>  * Slack
>>>>   * Josh Wills
>>>>  * Talend
>>>>   * Jean-Baptiste Onofré
>>>>
>>>> == Sponsors ==
>>>>
>>>> === Champion ===
>>>>
>>>>  * Jean-Baptiste Onofre [jbono...@apache.org]
>>>>
>>>> === Nominated Mentors ===
>>>>
>>>>  * Jean-Baptiste Onofre   [jbono...@apache.org]
>>>>  * Jim Jagielski  [j...@apache.org]
>>>>  * Venkatesh Seetharam[venkat...@apache.org]
>>>>  * Bertrand Delacretaz[bdelacre...@apache.org]
>>>>  * Ted Dunning[tdunn...@apache.org]
>>>>
>>>> === Sponsoring Entity ===
>>>>
>>>> The Apache Incubator
>>>> 
>>>>
>>>> -
>>>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
>>>> For additional commands, e-mail: general-h...@incubator.apache.org
>>>>
>>>>
>>> -
>>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
>>> For additional commands, e-mail: general-h...@incubator.apache.org
>>>
>>>
>
>
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RE: [DISCUSS] Apache Dataflow Incubator Proposal

[Tsuyoshi Ozawa]

Hi, I'm a core developer of Apache Hadoop and a contributor of Apache Tez.
I'd be also interested in working on Apache Dataflow as an individual.

Regards,
- Tsuyoshi

-Original Message-
From: Jean-Baptiste Onofré [mailto:j...@nanthrax.net] 
Sent: Thursday, January 21, 2016 2:38 PM
To: general@incubator.apache.org
Subject: Re: [DISCUSS] Apache Dataflow Incubator Proposal

Hi,

great: I added you in the proposal.

Thanks !
Regards
JB

On 01/21/2016 12:24 AM, Prasanth Jayachandran wrote:
> Hi Jean
>
> I’d be interested in contributing as well.
>
> Thanks
> Prasanth Jayachandran
>
>> On Jan 20, 2016, at 5:20 PM, ksobkowiak  wrote:
>>
>> It's a great news the project is going to move to Apache. I'd be 
>> interested in contributing too
>>
>> Regards
>> Krzysztof
>>
>>
>>
>> --
>> View this message in context: 
>> http://apache-incubator-general.996316.n3.nabble.com/DISCUSS-Apache-D
>> ataflow-Incubator-Proposal-tp47985p48025.html
>> Sent from the Apache Incubator - General mailing list archive at Nabble.com.
>>
>> -
>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
>> For additional commands, e-mail: general-h...@incubator.apache.org
>>
>>
>
>
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
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>

--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Re: [VOTE] Release Apache Tez-0.4.1-incubating RC0

[Tsuyoshi OZAWA]

+1(non-binding),

* Built from source.
* Ran tests.
* Checked sigs.

Thanks,
- Tsuyoshi

On Sat, Jul 12, 2014 at 3:28 AM, Ashutosh Chauhan hashut...@apache.org wrote:
 +1 (binding)

 Thanks,
 Ashutosh


 On Tue, Jul 8, 2014 at 1:38 PM, Arun C Murthy a...@hortonworks.com wrote:

 +1 (binding)

 Arun

 On Jul 7, 2014, at 1:20 PM, Siddharth Seth ss...@apache.org wrote:

  The Apache Tez Incubating PPMC has voted to release Apache
  Tez-0.4.1-incubating (RC0).
 
  Result Mail:
 
 http://mail-archives.apache.org/mod_mbox/incubator-tez-dev/201407.mbox/%3CCAOapipsBOizkB5yOmCxT1UP9%2BCL%2BHjtxcy39mzFNFkZXeocaxA%40mail.gmail.com%3E
  Initial Vote Thread:
 
 http://mail-archives.apache.org/mod_mbox/incubator-tez-dev/201406.mbox/%3CCAOapipsP5KfMD2_imfubp%2BUKc9qPA5b4EVAmRPqbv-utt%3DSNkQ%40mail.gmail.com%3E
 
  This thread is for the IPMC to vote on this release.
 
  GIT source tag:
 
 https://git-wip-us.apache.org/repos/asf/incubator-tez/repo?p=incubator-tez.git;a=log;h=refs/tags/release-0.4.1-incubating-rc0
 
  Staging site:
 
 https://dist.apache.org/repos/dist/dev/incubator/tez/tez-0.4.1-incubating-src-rc0/
 
  Nexus Staging URL:
  https://repository.apache.org/content/repositories/orgapachetez-1006/
 
  PGP release keys:
  http://pgp.mit.edu/pks/lookup?op=getsearch=0x477E02D33DD51430
  KEYS file available at
  https://dist.apache.org/repos/dist/release/incubator/tez/KEYS
 
  List of issues fixed in the release:
  *https://issues.apache.org/jira/browse/TEZ/fixforversion/12327143/
  https://issues.apache.org/jira/browse/TEZ/fixforversion/12327143/*
  Also available in CHANGES.txt within the release tarball.
 
  Vote will be open for at least 72 hours ( until the required number of
 IPMC
  votes are obtained).
 
  [ ] +1 approve
  [ ] +0 no opinion
  [ ] -1 disapprove (and reason why)
 
 
  Thanks
 
  - Sid



 --
 CONFIDENTIALITY NOTICE
 NOTICE: This message is intended for the use of the individual or entity to
 which it is addressed and may contain information that is confidential,
 privileged and exempt from disclosure under applicable law. If the reader
 of this message is not the intended recipient, you are hereby notified that
 any printing, copying, dissemination, distribution, disclosure or
 forwarding of this communication is strictly prohibited. If you have
 received this communication in error, please contact the sender immediately
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-- 
- Tsuyoshi

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Re: [VOTE] Release Apache Tez-0.4.0-incubating RC1

[Tsuyoshi OZAWA]

+1 (non-binding)

Built form source and ran tests.


On Wed, Apr 2, 2014 at 6:42 AM, Siddharth Seth ss...@apache.org wrote:
 I have created a tez-0.4.0-incubating release candidate (rc1).

 This includes license and notice files missing from rc0 release artifacts
 (the javadoc artifact has these files under resources/META-INF instead of
 directly under META-INF)

 GIT source tag:
 https://git-wip-us.apache.org/repos/asf/incubator-tez/repo?p=incubator-tez.git;a=log;h=refs/tags/release-0.4.0-incubating-rc1
 (git commit 145c730c8d1cea863185b2a3354b19f2ab21addd)

 Staging site:
 https://dist.apache.org/repos/dist/dev/incubator/tez/0.4.0-incubating-rc1
 (svn revision 4929)

 Nexus Staging URL:
 *https://repository.apache.org/content/repositories/orgapachetez-1005/
 https://repository.apache.org/content/repositories/orgapachetez-1005/*

 PGP release keys:
 http://pgp.mit.edu/pks/lookup?op=getsearch=0x477E02D33DD51430
 KEYS file available at
 https://dist.apache.org/repos/dist/release/incubator/tez/KEYS

 List of issues fixed in the release:
 https://issues.apache.org/jira/browse/TEZ/fixforversion/12326283/
 Also available in CHANGES.txt within the release tarball.

 Vote will be open for at least 72 hours ( until the required number of IPMC
 votes are obtained
 ).

 [ ] +1 approve
 [ ] +0 no opinion
 [ ] -1 disapprove (and reason why)

 For folks not familiar with vetting a release, please refer to
 http://incubator.apache.org/guides/releasemanagement.html#check-list

 Thanks
 - Sid



-- 
- Tsuyoshi

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Re: [VOTE] Release Apache Tez-0.3.0-incubating RC0

[Tsuyoshi OZAWA]

+1 (non-binding)

On Sun, Feb 23, 2014 at 11:32 PM, Gunther Hagleitner
ghagleit...@hortonworks.com wrote:
 +1

 Thanks,
 Gunther.


 On Sun, Feb 23, 2014 at 7:00 PM, Lianhui Wang lianhuiwan...@gmail.comwrote:

 +1.


 2014-02-24 8:25 GMT+08:00 Bikas Saha bi...@hortonworks.com:

  +1.
 
 
 
  -Original Message-
  From: Hitesh Shah [mailto:hit...@apache.org]
  Sent: Sunday, February 23, 2014 11:31 AM
  To: d...@tez.incubator.apache.org; general@incubator.apache.org
  Subject: [VOTE] Release Apache Tez-0.3.0-incubating RC0
 
  Hello folks,
 
  I have created a tez-0.3.0-incubating release candidate (rc0). This is
 the
  second release for Tez.
 
  GIT source tag:
 
 https://git-wip-us.apache.org/repos/asf/incubator-tez/repo?p=incubator-tez
  .git;a=log;h=refs/tags/release-0.3.0-incubating-rc0
  Staging site:
 
 https://dist.apache.org/repos/dist/dev/incubator/tez/0.3.0-incubating-rc0/
  Nexus Staging URL:
  https://repository.apache.org/content/repositories/orgapachetez-1002
 
  PGP release keys:
  http://pgp.mit.edu:11371/pks/lookup?op=getsearch=0xA9510905F0B000F0
  KEYS file also available at
  https://dist.apache.org/repos/dist/release/incubator/tez/KEYS
 
  One can look into the issues fixed in this release at:
  https://issues.apache.org/jira/browse/TEZ/fixforversion/12325655 or look
  at the CHANGES.txt in the release tarball.
 
  Vote will be open for at least 72 hours ( until the required number of
  IPMC votes are obtained ).
 
  [ ] +1 approve
  [ ] +0 no opinion
  [ ] -1 disapprove (and reason why)
 
  For folks not familiar with vetting a release, please refer to
  http://incubator.apache.org/guides/releasemanagement.html#check-list
 
  thanks
  -- Hitesh
 
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  NOTICE: This message is intended for the use of the individual or entity
 to
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  privileged and exempt from disclosure under applicable law. If the reader
  of this message is not the intended recipient, you are hereby notified
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  any printing, copying, dissemination, distribution, disclosure or
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 immediately
  and delete it from your system. Thank You.
 



 --
 thanks

 王联辉(Lianhui Wang)
 blog; http://blog.csdn.net/lance_123
 兴趣方向：数据库，分布式，数据挖掘，编程语言，互联网技术等


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Re: [ANNOUNCE] Apache Tez 0.2.0-incubating Released

[Tsuyoshi OZAWA]

Congrats, Tez team!

On Tue, Dec 3, 2013 at 6:43 AM, Hitesh Shah hit...@apache.org wrote:
 The Apache Tez team is proud to announce the first release of Apache Tez - 
 version 0.2.0-incubating.

 Apache Tez is an application framework which allows for a complex 
 directed-acyclic-graph of tasks for processing data and is built atop Apache 
 Hadoop YARN.
 More details on Apache Tez can be found at http://tez.incubator.apache.org/

 The release bits are available at: 
 http://www.apache.org/dyn/closer.cgi/incubator/tez/tez-0.2.0-incubating/

 The released maven artifacts have also been made available on 
 repository.apache.org.

 We would like to thank all the contributors that made this release possible.

 thanks
 Hitesh Shah on behalf of The Apache Tez Team



-- 
- Tsuyoshi

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Re: [VOTE] Release Apache Tez-0.2.0-incubating RC0

[Tsuyoshi OZAWA]

I tried to build the source of 0.2.0-rc0, but failed. Is this my
environment-specific problem? The build log is available here:
https://gist.github.com/oza/7687568
The versions of dependency libraries in my environment are as follows:

* Apache Maven 3.0.4
* Protobuf 2.5.0

I can build hadoop's trunk repository in my environment. Please let me
know if I have something wrong.

Thanks,
Tsuyoshi

On Thu, Nov 28, 2013 at 10:50 AM, Mark Wagner wagner.mar...@gmail.com wrote:
 +1 (non-binding): Built from source tag, deployed, and ran some Pig
 scripts w/ groups and joins.

 -Mark

 On Wed, Nov 27, 2013 at 3:04 PM, Siddharth Seth ss...@apache.org wrote:
 +1.

 Verified signature and checksums.
 Built from source, and tested out some stand-along jobs, and some Hive
 queries on a multi-node setup.

 Thanks
 - Sid


 On Mon, Nov 25, 2013 at 4:33 PM, Hitesh Shah hit...@apache.org wrote:

 Hello folks,

 I have created a tez-0.2.0-incubating release candidate (rc0). This is the
 first release for Tez. Therefore, please do not be gentle.

 GIT source tag:
 https://git-wip-us.apache.org/repos/asf/incubator-tez/repo?p=incubator-tez.git;a=log;h=refs/tags/release-0.2.0-rc0
 Staging site:
 http://people.apache.org/~hitesh/tez-release-rc/tez-0.2.0-incubating-rc0/
 Nexus Staging URL:
 https://repository.apache.org/content/repositories/orgapachetez-002/

 PGP release keys:
 http://pgp.mit.edu:11371/pks/lookup?op=getsearch=0xA9510905F0B000F0
 KEYS file also available at
 https://dist.apache.org/repos/dist/release/incubator/tez/KEYS

 One can look into the issues fixed in this release at:
 https://issues.apache.org/jira/browse/TEZ/fixforversion/12324349

 Vote will be open for 72 hours.

 [ ] +1 approve
 [ ] +0 no opinion
 [ ] -1 disapprove (and reason why)

 thanks
 -- Hitesh
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Re: [VOTE] Release Apache Tez-0.2.0-incubating RC0

[Tsuyoshi OZAWA]

Thank you for your comment, Gunther. The java version I cannot compile
tez with was HotSpotVM 1.6/1.7 on my environment. I also confirmed
that it can be compiled with maven-compiler-plugin to force target
version of java. I opened a JIRA about this problem:

https://issues.apache.org/jira/browse/TEZ-653

IMO, we should include the patch to 0.2.0 to avoid this build problem.

Thanks,
Tsuyoshi



On Thu, Nov 28, 2013 at 5:17 PM, Gunther Hagleitner
ghagleit...@hortonworks.com wrote:
 +1 (binding)

 Built from source, built Hive against it. Ran through a number of hive
 queries and verified a number of config options. Looks good.

 @Tsuyoshi: I think it's your environment, check what java version you're
 using. This is in your build log: error: generics are not supported in
 -source 1.3

 Thanks,
 Gunther.


 On Wed, Nov 27, 2013 at 9:20 PM, Tsuyoshi OZAWA 
 ozawa.tsuyo...@gmail.comwrote:

 I tried to build the source of 0.2.0-rc0, but failed. Is this my
 environment-specific problem? The build log is available here:
 https://gist.github.com/oza/7687568
 The versions of dependency libraries in my environment are as follows:

 * Apache Maven 3.0.4
 * Protobuf 2.5.0

 I can build hadoop's trunk repository in my environment. Please let me
 know if I have something wrong.

 Thanks,
 Tsuyoshi

 On Thu, Nov 28, 2013 at 10:50 AM, Mark Wagner wagner.mar...@gmail.com
 wrote:
  +1 (non-binding): Built from source tag, deployed, and ran some Pig
  scripts w/ groups and joins.
 
  -Mark
 
  On Wed, Nov 27, 2013 at 3:04 PM, Siddharth Seth ss...@apache.org
 wrote:
  +1.
 
  Verified signature and checksums.
  Built from source, and tested out some stand-along jobs, and some Hive
  queries on a multi-node setup.
 
  Thanks
  - Sid
 
 
  On Mon, Nov 25, 2013 at 4:33 PM, Hitesh Shah hit...@apache.org wrote:
 
  Hello folks,
 
  I have created a tez-0.2.0-incubating release candidate (rc0). This is
 the
  first release for Tez. Therefore, please do not be gentle.
 
  GIT source tag:
 
 https://git-wip-us.apache.org/repos/asf/incubator-tez/repo?p=incubator-tez.git;a=log;h=refs/tags/release-0.2.0-rc0
  Staging site:
 
 http://people.apache.org/~hitesh/tez-release-rc/tez-0.2.0-incubating-rc0/
  Nexus Staging URL:
  https://repository.apache.org/content/repositories/orgapachetez-002/
 
  PGP release keys:
  http://pgp.mit.edu:11371/pks/lookup?op=getsearch=0xA9510905F0B000F0
  KEYS file also available at
  https://dist.apache.org/repos/dist/release/incubator/tez/KEYS
 
  One can look into the issues fixed in this release at:
  https://issues.apache.org/jira/browse/TEZ/fixforversion/12324349
 
  Vote will be open for 72 hours.
 
  [ ] +1 approve
  [ ] +0 no opinion
  [ ] -1 disapprove (and reason why)
 
  thanks
  -- Hitesh
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