When we came up with the name a couple years ago, it was inspired by "kung fu", in a playful way as Roman mentioned. Sort of like saying your Java Fu or Python Fu is excellent.
-Matt ________________________________________ From: sebb [seb...@gmail.com] Sent: Wednesday, December 18, 2013 3:57 PM To: general@incubator.apache.org Subject: Re: [PROPOSAL] DataFu for Incubation On 18 December 2013 22:49, Matthew Hayes <mha...@linkedin.com> wrote: > Hi all, > > I would like to share our draft ASF incubation proposal for DataFu, a library > that makes it easier to solve data problems in Hadoop and high level > languages based on it. I am the only person to think that the last part of the name has unfortunate connotations? c.f. SNAFU which has the same last two characters. > The proposal can be found here: > > https://wiki.apache.org/incubator/DataFuProposal > > The source code is available on GitHub: > > https://github.com/linkedin/datafu. > > The text of the proposal is copied below. Feedback is appreciated! > > Thanks, > Matt > > == Abstract == > > Data``Fu makes it easier to solve data problems using Hadoop and higher level > languages based on it. > > == Proposal == > > Data``Fu provides a collection of Hadoop Map``Reduce 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), Page``Rank, > stream sessionization, and set and bag operations. Data``Fu also provides > Hadoop jobs for incremental data processing in Map``Reduce. > > == Background == > > Data``Fu began two years ago as set of UDFs developed internally at > Linked``In, 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 > Data``Fu as we encountered common problems not yet solved by it. Others > outside Linked``In 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 Map``Reduce jobs as a solution. > > Data``Fu began as a project at Linked``In, 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 Data``Fu 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 Data``Fu following the Apache meritocracy model. > Since Data``Fu was initially open sourced in 2011, it has received > contributions from both within and outside Linked``In. We plan to continue > support for new contributors and work with those who contribute significantly > to the project to make them committers. > > === Community === > > Data``Fu has been building a community of developers for two years. It began > with contributors from Linked``In 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 === > > Data``Fu has a strong base of developers at Linked``In. Matthew Hayes > initiated the project in 2011, and aside from continued contributions to > Data``Fu has also contributed the sub-project Hourglass for incremental > Map``Reduce processing. Separate from Data``Fu 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 Data``Fu for the past two years. Evion > Kim has been contributing to Data``Fu 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 Data``Fu. > Mathieu Bastian has been developing Map``Reduce jobs that we hope to include > in Data``Fu. In addition he also leads the open source Gephi project. > > === Alignment === > > The ASF is the natural choice to host the Data``Fu project as its goal of > encouraging community-driven open-source projects fits with our vision for > Data``Fu. Additionally, other projects Data``Fu 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 Data``Fu for the past two > years. There is very little risk of Data``Fu being abandoned given its > widespread use within Linked``In. > > === Inexperience with Open Source === > > Data``Fu 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 > Data``Fu. Sam contributed much of the original code and continues to > contribute to the project. Will has been contributing to Data``Fu 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 Linked``In. Data``Fu 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 Linked``In, however > they are not paid specifically to work on Data``Fu. Contributions to > Data``Fu arise from the developers solving problems they encounter in their > various projects. The purpose of Data``Fu 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 === > > Data``Fu 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 > Data``Fu a solid home as an open source project following an established > development model. > > == Documentation == > > Information on Data``Fu 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 Data``Fu library source code, available on Git``Hub. > > == External Dependencies == > > The initial source has the following external dependencies that are either > included in the final Data``Fu 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 == > > Data``Fu has user-defined functions that use MD5 and SHA provided by Java’s > java.security.Message``Digest. > > == Required Resources == > > === Mailing Lists === > > Data``Fu-private for private PMC discussions (with moderated subscriptions) > Data``Fu-dev Data``Fu-commits > > === Subversion Directory === > > Git is the preferred source control system: git://git.apache.org/DataFu > > === Issue Tracking === > > JIRA Data``Fu (Data``Fu) > > === 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 (Linked``In) > * William Vaughan (Linked``In) > * Evion Kim (Linked``In) > * Sam Shah (Linked``In) > * Xiangrui Meng (Linked``In) > * Christopher Lloyd (Linked``In) > * Mathieu Bastian (Linked``In) > * Mitul Tiwari (Linked``In) > * 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 --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
