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From Chris Aniszczyk <caniszc...@gmail.com>
Subject Re: [PROPOSAL] Parquet
Date Fri, 16 May 2014 23:43:05 GMT
SGTM Roman, thanks for volunteering!

I'll start the vote on Sunday barring any issues.


On Fri, May 16, 2014 at 11:56 AM, Roman Shaposhnik <rvs@apache.org> wrote:

> Hi!
>
> proposal looks good to me and I am very much looking
> for a voting thread.
>
> One small request, since I plan to spend a fair amount
> of time on Parquet anyway, would you guys be ok
> with adding me as an extra mentor so I can help
> with that aspect of the project as well?
>
> Thanks,
> Roman.
>
> P.S. Plus it has an added benefit of increasing diversity
> of affiliations from the get go.
>
> On Mon, May 12, 2014 at 10:02 AM, Chris Aniszczyk <caniszczyk@gmail.com>
> wrote:
> > We would like to propose Parquet as an Apache Incubator project.
> > https://wiki.apache.org/incubator/ParquetProposal
> >
> > Feel free to comment, we'll go for a vote in a week or two or whenever
> > consensus has been reached on the proposal.
> >
> > I've posted posted the text of the proposal below:
> >
> > == 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 is the current 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, Pig, Avro, Thrift, YARN and Mesos in a numerous ways. We look
> > forward to collaborating with those communities, as well as other Apache
> > communities (including Apache S4 which focuses on stateful low-latency
> > processing).
> >
> > === 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.
> >
> > This is the exact codebase 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
> >
> > == Cryptography ==
> >
> > We do not expect Parquet to be a controlled export item due to the use of
> > encryption.
> >
> > == Required Resources ==
> >
> > === Mailing lists ===
> >
> >  * parquet-dev
> >  * parquet-user
> >
> > == Subversion Directory ==
> >
> > Git is the preferred source control system: git://git.apache.org/parquet
> >
> > == Issue Tracking ==
> >
> > JIRA: Parquet (PARQUET)
> >
> > == Initial Committers ==
> >
> >  * Aniket Mokashi
> >  * Brock Noland
> >  * Chris Aniszczyk <zx@twitter.com>
> >  * Dmitriy Ryaboy <dmitriy@twitter.com>
> >  * Jake Farrell
> >  * Julien Le Dem <julien@apache.org>
> >  * Lukas Nalezenec
> >  * Marcel Kornacker
> >  * Mickael Lacour
> >  * Nong Li
> >  * Remy Pecqueur
> >  * Tianshuo Deng
> >  * Tom White
> >
> > == Affiliations ==
> >
> >  * Aniket Mokashi - Twitter
> >  * Brock Noland - Cloudera
> >  * Chris Aniszczyk - Twitter
> >  * Dmitriy Ryaboy - Twitter
> >  * Jake Farrell
> >  * Julien Le Dem - Twitter
> >  * Lukas Nalezenec
> >  * Marcel Kornacker - Cloudera
> >  * Mickael Lacour - Criteo
> >  * Nong Li - Cloudera
> >  * Remy Pecqueur - Criteo
> >  * Tianshuo Deng - Twitter
> >  * Tom White - Cloudera
> >
> > == Sponsors ==
> >
> > === Champion ===
> >
> >  * Todd Lipcon
> >
> > === Nominated Mentors ===
> >
> >  * Tom White
> >  * Chris Mattmann
> >  * Jake Farrell
> >
> > === Sponsoring Entity ===
> >
> > The Apache Incubator
> >
> > --
> > Cheers,
> >
> > Chris Aniszczyk
> > http://aniszczyk.org
> > +1 512 961 6719
>
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>


-- 
Cheers,

Chris Aniszczyk
http://aniszczyk.org
+1 512 961 6719

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