13:00 came and went, vote’s closed.
With at least 10 binding +1s and no -1s, the vote passes. I’ll get started on the bootstrapping. Thanks everybody, Jakob From: Suresh Marru Sent: Saturday, January 4, 2014 1:41 AM To: general@incubator.apache.org + 1 (binding). Suresh On Dec 31, 2013, at 3:39 PM, Jakob Homan <jgho...@gmail.com> wrote: > Incubator- > > Following the discussion earlier, I'm calling a vote to accept DataFu as a > new Incubator project. > > The proposal draft is available at: > https://wiki.apache.org/incubator/DataFuProposal, and is also included > below. > > Vote is open for at least 96h and closes at the earliest on 4 Jan 13:00 > PDT. I'm letting the vote run an extra day as we're in the holiday season. > > [ ] +1 accept DataFu in the Incubator > [ ] +/-0 > [ ] -1 because... > > Here's my binding +1. > -Jakob > > ------------------------------- > Abstract > > DataFu makes it easier to solve data problems using Hadoop and higher level > languages based on it. > > Proposal > > DataFu provides a collection of Hadoop MapReduce jobs and functions in > higher level languages based on it to perform data analysis. It provides > functions for common statistics tasks (e.g. quantiles, sampling), PageRank, > stream sessionization, and set and bag operations. DataFu also provides > Hadoop jobs for incremental data processing in MapReduce. > > Background > > DataFu began two years ago as set of UDFs developed internally at LinkedIn, > coming from our desire to solve common problems with reusable components. > Recognizing that the community could benefit from such a library, we added > documentation, an extensive suite of unit tests, and open sourced the code. > Since then there have been steady contributions to DataFu as we encountered > common problems not yet solved by it. Others outside LinkedIn have > contributed as well. More recently we recognized the challenges with > efficient incremental processing of data in Hadoop and have contributed a > set of Hadoop MapReduce jobs as a solution. > > DataFu began as a project at LinkedIn, but it has shown itself to be useful > to other organizations and developers as well as they have faced similar > problems. We would like to share DataFu with the ASF and begin developing a > community of developers and users within Apache. > > Rationale > > There is a strong need for well tested libraries that help developers solve > common data problems in Hadoop and higher level languages such as Pig, > Hive, Crunch, Scalding, etc. > > Current Status > > Meritocracy > > Our intent with this incubator proposal is to start building a diverse > developer community around DataFu following the Apache meritocracy model. > Since DataFu was initially open sourced in 2011, it has received > contributions from both within and outside LinkedIn. We plan to continue > support for new contributors and work with those who contribute > significantly to the project to make them committers. > > Community > > DataFu has been building a community of developers for two years. It began > with contributors from LinkedIn and has received contributions from > developers at Cloudera since very early on. It has been included included > in Cloudera’s Hadoop Distribution and Apache Bigtop. We hope to extend our > contributor base significantly and invite all those who are interested in > solving large-scale data processing problems to participate. > > Core Developers > > DataFu has a strong base of developers at LinkedIn. Matthew Hayes initiated > the project in 2011, and aside from continued contributions to DataFu has > also contributed the sub-project Hourglass for incremental MapReduce > processing. Separate from DataFu he has also open sourced the White > Elephant project. Sam Shah contributed a significant portion of the > original code and continues to contribute to the project. William Vaughan > has been contributing regularly to DataFu for the past two years. Evion Kim > has been contributing to DataFu for the past year. Xiangrui Meng recently > contributed implementations of scalable sampling algorithms based on > research from a paper he published. Chris Lloyd has provided some important > bug fixes and unit tests. Mitul Tiwari has also contributed to DataFu. > Mathieu Bastian has been developing MapReduce jobs that we hope to include > in DataFu. In addition he also leads the open source Gephi project. > > Alignment > > The ASF is the natural choice to host the DataFu project as its goal of > encouraging community-driven open-source projects fits with our vision for > DataFu. Additionally, other projects DataFu integrates with, such as Apache > Pig and Apache Hadoop, and in the future Apache Hive and Apache Crunch, are > hosted by the ASF and we will benefit and provide benefit by close > proximity to them. > > Known Risks > > Orphaned Products > > The core developers have been contributing to DataFu for the past two > years. There is very little risk of DataFu being abandoned given its > widespread use within LinkedIn. > > Inexperience with Open Source > > DataFu was started as an open source project in 2011 and has remained so > for two years. Matt initiated the project, and additionally is the creator > of the open source White Elephant project. He has also contributed patches > to Apache Pig. Most recently he has released Hourglass as a sub-project of > DataFu. Sam contributed much of the original code and continues to > contribute to the project. Will has been contributing to DataFu since it > was first open sourced. Evion has been contributing for the past year. > Mathieu leads the open source Gephi project. Jakob has been actively > involved with the ASF as a full-time Hadoop committer and PMC member. > > Homogeneous Developers > > The current core developers are all from LinkedIn. DataFu has also received > contributions from other corporations such as Cloudera. Two of these > developers are among the Initial Committers listed below. We hope to > establish a developer community that includes contributors from several > other corporations and we are actively encouraging new contributors via > presentations and blog posts. > > Reliance on Salaried Developers > > The current core developers are salaried employees of LinkedIn, however > they are not paid specifically to work on DataFu. Contributions to DataFu > arise from the developers solving problems they encounter in their various > projects. The purpose of DataFu is to share these solutions so that others > may benefit and build a community of developers striving to solve common > problems together. Furthermore, once the project has a community built > around it, we expect to get committers, developers and contributions from > outside the current core developers. > > Relationships with Other Apache Products > > DataFu is deeply integrated with Apache products. It began as a library of > user-defined functions for Apache Pig. It has grown to also include Hadoop > jobs for incremental data processing and in the future will include code > for other higher level languages built on top of Apache Hadoop. > > An Excessive Obsession with the Apache Brand > > While we respect the reputation of the Apache brand and have no doubts that > it will attract contributors and users, our interest is primarily to give > DataFu a solid home as an open source project following an established > development model. > > Documentation > > Information on DataFu can be found at: > > https://github.com/LinkedIn/DataFu/blob/master/README.md > > Initial Source > > The initial source is available at: > > https://github.com/LinkedIn/DataFu > > Source and Intellectual Property Submission Plan > > The DataFu library source code, available on GitHub. > > External Dependencies > > The initial source has the following external dependencies that are either > included in the final DataFu library or required in order to use it: > > fastutil (Apache 2.0) > joda-time (Apache 2.0) > commons-math (Apache 2.0) > guava (Apache 2.0) > stream (Apache 2.0) > jsr-305 (BSD) > log4j (Apache 2.0) > json (The JSON License) > avro (Apache 2.0) > > In addition, the following external libraries are used either in building, > developing, or testing the project: > > pig (Apache 2.0) > hadoop (Apache 2.0) > jline (BSD) > antlr (BSD) > commons-io (Apache 2.0) > testng (Apache 2.0) > maven (Apache 2.0) > jsr-311 (CDDL-1.0) > slf4j (MIT) > eclipse (Eclipse Public License 1.0) > autojar (GPLv2) > jarjar (Apache 2.0) > > Cryptography > > DataFu has user-defined functions that use MD5 and SHA provided by Java’s > java.security.MessageDigest. > > Required Resources > > Mailing Lists > > DataFu-private for private PMC discussions (with moderated subscriptions) > DataFu-dev DataFu-commits > > Subversion Directory > > Git is the preferred source control system: git://git.apache.org/DataFu > > Issue Tracking > > JIRA DataFu (DataFu) > > Other Resources > > The existing code already has unit tests, so we would like a Hudson > instance to run them whenever a new patch is submitted. This can be added > after project creation. > > Initial Committers > > Matthew Hayes > William Vaughan > Evion Kim > Sam Shah > Xiangrui Meng > Christopher Lloyd > Mathieu Bastian > Mitul Tiwari > Josh Wills > Jarek Jarcec Cecho > > Affiliations > > Matthew Hayes (LinkedIn) > > William Vaughan (LinkedIn) > > Evion Kim (LinkedIn) > > Sam Shah (LinkedIn) > > Xiangrui Meng (LinkedIn) > > Christopher Lloyd (LinkedIn) > > Mathieu Bastian (LinkedIn) > > Mitul Tiwari (LinkedIn) > Josh Wills (Cloudera) > Jarek Jarcec Cecho (Cloudera) > > Sponsors > > Champion > > Jakob Homan (Apache Member) > > Nominated Mentors > > Ashutosh Chauhan <hashutosh at apache dot org> > > Roman Shaposhnik <rvs at apache dot org> > > Ted Dunning <tdunning at apache dot org> > > Sponsoring Entity > > We are requesting the Incubator to sponsor this project. --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
