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From Henry Saputra <henry.sapu...@gmail.com>
Subject Re: [VOTE] Accept Parquet into the incubator
Date Thu, 22 May 2014 22:49:21 GMT
Hi Chris, could you re-send the tally up VOTE result with subject
prefixed with [RESULT] ?


- Henry

On Wed, May 21, 2014 at 3:56 PM, Chris Aniszczyk <caniszczyk@gmail.com> wrote:
> With 18 +1 votes (and 10+ as binding votes), I'll consider this vote a
> success.
>
> I'll proceed with the next steps.
>
> Thank you!
>
>
>
> On Sun, May 18, 2014 at 3:57 PM, Todd Lipcon <todd@cloudera.com> wrote:
>
>> +1 from me (the proposed Champion)
>>
>> -Todd
>>
>>
>> On Sun, May 18, 2014 at 2:15 PM, Chris Aniszczyk <caniszczyk@gmail.com
>> >wrote:
>>
>> > Based on the results of the discussion thread:
>> >
>> >
>> http://mail-archives.apache.org/mod_mbox/incubator-general/201405.mbox/%3CCAJg1wMRGhLu4P7LeVQB%2B5K0C-fr-pw2448uj%3D6-3zHag4F1EbA%40mail.gmail.com%3E
>> >
>> > I would like to call a vote on accepting Parquet into the incubator.
>> > https://wiki.apache.org/incubator/ParquetProposal
>> >
>> > [ ] +1 Accept Parquet into the Incubator
>> > [ ] +0 Indifferent to the acceptance of Parquet
>> > [ ] -1 Do not accept Parquet because ...
>> >
>> > The vote will be open until Thursday May 22nd 18:00 UTC.
>> >
>> > = Parquet Proposal =
>> >
>> > == Abstract ==
>> > Parquet is a columnar storage format for Hadoop.
>> >
>> > == Proposal ==
>> >
>> > We created Parquet to make the advantages of compressed, efficient
>> columnar
>> > data representation available to any project in the Hadoop ecosystem,
>> > regardless of the choice of data processing framework, data model, or
>> > programming language.
>> >
>> > == Background ==
>> >
>> > Parquet is built from the ground up with complex nested data structures
>> in
>> > mind, and uses the repetition/definition level approach to encoding such
>> > data structures, as popularized by Google Dremel (
>> > https://blog.twitter.com/2013/dremel-made-simple-with-parquet). We
>> believe
>> > this approach is superior to simple flattening of nested name spaces.
>> >
>> > Parquet is built to support very efficient compression and encoding
>> > schemes. Parquet allows compression schemes to be specified on a
>> per-column
>> > level, and is future-proofed to allow adding more encodings as they are
>> > invented and implemented. We separate the concepts of encoding and
>> > compression, allowing parquet consumers to implement operators that work
>> > directly on encoded data without paying decompression and decoding
>> penalty
>> > when possible.
>> >
>> > == Rationale ==
>> >
>> > Parquet is built to be used by anyone. We believe that an efficient,
>> > well-implemented columnar storage substrate should be useful to all
>> > frameworks without the cost of extensive and difficult to set up
>> > dependencies.
>> >
>> > Furthermore, the rapid growth of Parquet community is empowered by open
>> > source. We believe the Apache foundation is a great fit as the long-term
>> > home for Parquet, as it provides an established process for
>> > community-driven development and decision making by consensus. This is
>> > exactly the model we want for future Parquet development.
>> >
>> > == Initial Goals ==
>> >
>> >  * Move the existing codebase to Apache
>> >  * Integrate with the Apache development process
>> >  * Ensure all dependencies are compliant with Apache License version 2.0
>> >  * Incremental development and releases per Apache guidelines
>> >
>> > == Current Status ==
>> >
>> > Parquet has undergone 2 major releases:
>> > https://github.com/Parquet/parquet-format/releases of the core format
>> and
>> > 22 releases: https://github.com/Parquet/parquet-mr/releases of the
>> > supporting set of Java libraries.
>> >
>> > The Parquet source is currently hosted at GitHub, which will seed the
>> > Apache git repository.
>> >
>> > === Meritocracy ===
>> >
>> > We plan to invest in supporting a meritocracy. We will discuss the
>> > requirements in an open forum. Several companies have already expressed
>> > interest in this project, and 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 ===
>> >
>> > There is a large need for an advanced columnar storage format for Hadoop.
>> > Parquet is being used in production by many organizations (see
>> > https://github.com/Parquet/parquet-mr/blob/master/PoweredBy.md)
>> >
>> >  * Cloudera: https://twitter.com/HenryR/statuses/324222874011451392
>> >  * Criteo: https://twitter.com/julsimon/statuses/312114074911666177
>> >  * Salesforce:
>> https://twitter.com/TwitterOSS/statuses/392734610116726784
>> >  * Stripe: https://twitter.com/avibryant/statuses/391339949250715648
>> >  * Twitter: https://twitter.com/J_/statuses/315844725611581441
>> >
>> > By bringing Parquet into Apache, we believe that the community will grow
>> > even bigger.
>> >
>> > === Core Developers ===
>> >
>> > Parquet was initially developed as a collaboration between Twitter,
>> > Cloudera and Criteo.
>> >
>> > See
>> >
>> >
>> https://blog.twitter.com/2013/announcing-parquet-10-columnar-storage-for-hadoop
>> >
>> > === Alignment ===
>> >
>> > We believe that having Parquet at Apache will help further the growth of
>> > the big-data community, as it will encourage cooperation within the
>> greater
>> > ecosystem of projects spawned by Apache Hadoop. The alignment is also
>> > beneficial to other Apache communities (such as Hadoop, Hive, Avro).
>> >
>> > == Known Risks ==
>> >
>> > === Orphaned Products ===
>> >
>> > The risk of the Parquet project being abandoned is minimal. There are
>> many
>> > organizations using Parquet in production, including Twitter, Cloudera,
>> > Stripe, and Salesforce (
>> > http://blog.cloudera.com/blog/2013/10/parquet-at-salesforce-com/).
>> >
>> > === Inexperience with Open Source ===
>> >
>> > Parquet has existed as a healthy open source for one year. During that
>> > time, we have curated an open-source community successfully, attracting
>> > over 40 contributors (see
>> > https://github.com/Parquet/parquet-mr/graphs/contributors) from a
>> diverse
>> > group of companies.
>> > Several of the core contributors to the project are deeply familiar with
>> > OSS and Apache specifically: Julien Le Dem was until recently the PMC
>> Chair
>> > for Apache Pig, and Dmitriy Ryaboy, Aniket Mokashi, and Jonathan Coveney
>> > are also Apache Pig committers with contributions to several other Apache
>> > projects. Todd Lipcon and Tom White are committers to Apache Hadoop and
>> > multiple other related projects. Brock Noland is a Hive committer.
>> >
>> > === Homogenous Developers ===
>> >
>> > The initial committers come from a number of companies and countries.
>> > Parquet has an active community of developers, and we are committed to
>> > recruiting additional committers based on their contributions to the
>> > project. The java library component alone has contributions from 31
>> > individual github accounts, 14 of which contributed over 1000 lines of
>> > code.
>> >
>> > === Reliance on Salaried Developers ===
>> >
>> > It is expected that Parquet development will occur on both salaried time
>> > and on volunteer time, after hours. The majority of initial committers
>> are
>> > paid by their employers to contribute to this project. However, they are
>> > all passionate about the project, and we are confident that the project
>> > will continue even if no salaried developers contribute to the project.
>> As
>> > evidence of this statement, we present the GitHub punchcard (see
>> > https://github.com/Parquet/parquet-mr/graphs/punch-card) showing that a
>> > lot
>> > of activity happens on weekends. We are committed to recruiting
>> additional
>> > committers including non-salaried developers.
>> >
>> > === Relationships with Other Apache Products ===
>> >
>> > As mentioned in the Alignment section, Parquet is closely related to
>> > Hadoop. It provides an API that allowed it to be easily integrated with
>> > many other apache projects: Pig, Hive, Avro, Thrift, Spark, Drill,
>> Crunch,
>> > Tajo. Some of the features it provides are similar to the ORC file format
>> > which is part of the Hive project. However Parquet focused on being
>> > framework agnostic and language independent and has been really
>> successful
>> > to that end. On top of the Apache projects mentioned above, Parquet is
>> also
>> > integrated with other open source projects, including Protocol Buffers,
>> > Cloudera Impala or Scrooge. We look forward to continue collaborating
>> with
>> > those communities, as well as other Apache communities.
>> >
>> > === An Excessive Fascination with the Apache Brand ===
>> >
>> > Parquet is an already healthy and well known open source project. This
>> > proposal is not for the purpose of generating publicity. Rather, the
>> > primary benefits to joining Apache are those outlined in the Rationale
>> > section.
>> >
>> > == Documentation ==
>> >
>> > Documentation is currently located as README markdown files:
>> >
>> >  * https://github.com/Parquet/parquet-format
>> >  * https://github.com/Parquet/parquet-mr
>> >
>> > == Source and Intellectual Property Submission Plan ==
>> >
>> > The Parquet codebase is currently hosted on Github:
>> > https://github.com/Parquet.
>> >
>> > These are the codebases that we would migrate to the Apache foundation.
>> >
>> > == External Dependencies ==
>> >
>> >
>> >  * Junit: EPL
>> >  * Apache Commons: ALv2
>> >  * Apache Thrift: ALv2
>> >  * Apache Maven: ALv2
>> >  * Apache Avro: ALv2
>> >  * Apache Hadoop: ALv2
>> >  * Google Guava: ALv2
>> >  * Google Protobuf: New BSD License
>> >
>> > == Cryptography ==
>> >
>> > We do not expect Parquet to be a controlled export item due to the use of
>> > encryption.
>> >
>> > == Required Resources ==
>> >
>> > === Mailing lists ===
>> >
>> >  * private@parquet.incubator.apache.org
>> >  * commits@parquet.incubator.apache.org
>> >  * dev@parquet.incubator.apache.org
>> >
>> > == Subversion Directory ==
>> >
>> > Git is the preferred source control system:
>> >
>> >  * git://git.apache.org/parquet-format
>> >  * git://git.apache.org/parquet-mr
>> >
>> > == Issue Tracking ==
>> >
>> > We'd like to keep using the Git review and issue tracking tools.
>> > Controlling Pull requests closing through git commit messages in
>> > git.apache.org
>> >
>> > == Initial Committers ==
>> >
>> >  * Aniket Mokashi <aniket486@gmail.com>
>> >  * Brock Noland <brock@apache.org>
>> >  * Chris Aniszczyk <caniszczyk@gmail.com>
>> >  * Dmitriy Ryaboy <dvryaboy@apache.org>
>> >  * Jake Farrell <jfarrell@apache.org>
>> >  * Jonathan Coveney <jcoveney@gmail.com>
>> >  * Julien Le Dem <julien@apache.org>
>> >  * Lukas Nalezenec <lukas.nalezenec@gmail.com>
>> >  * Marcel Kornacker <marcel@cloudera.com>
>> >  * Mickael Lacour
>> >  * Nong Li <nong@cloudera.com>
>> >  * Remy Pecqueur
>> >  * Ryan Blue <blue@cloudera.com>
>> >  * Tianshuo Deng <dengtianshuo@gmail.com>
>> >  * Tom White <tomwhite@apache.org>
>> >  * Wesley Peck
>> >
>> > == Affiliations ==
>> >
>> >  * Aniket Mokashi - Twitter
>> >  * Brock Noland - Cloudera
>> >  * Chris Aniszczyk - Twitter
>> >  * Dmitriy Ryaboy - Twitter
>> >  * Jake Farrell
>> >  * Jonathan Coveney - Twitter
>> >  * Julien Le Dem - Twitter
>> >  * Lukas Nalezenec
>> >  * Marcel Kornacker - Cloudera
>> >  * Mickael Lacour - Criteo
>> >  * Nong Li - Cloudera
>> >  * Remy Pecqueur - Criteo
>> >  * Ryan Blue - Cloudera
>> >  * Tianshuo Deng - Twitter
>> >  * Tom White - Cloudera
>> >  * Wesley Peck - ARRIS, Inc.
>> >
>> > == Sponsors ==
>> >
>> > === Champion ===
>> >
>> >  * Todd Lipcon
>> >
>> > === Nominated Mentors ===
>> >
>> >  * Tom White
>> >  * Chris Mattmann
>> >  * Jake Farrell
>> >  * Roman Shaposhnik
>> >
>> > === Sponsoring Entity ===
>> >
>> > The Apache Incubator
>> >
>> > --
>> > Cheers,
>> >
>> > Chris Aniszczyk
>> > http://aniszczyk.org
>> > +1 512 961 6719
>> >
>>
>>
>>
>> --
>> Todd Lipcon
>> Software Engineer, Cloudera
>>
>
>
>
> --
> Cheers,
>
> Chris Aniszczyk
> http://aniszczyk.org
> +1 512 961 6719

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