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From Ashutosh Chauhan <ashutosh.chau...@gmail.com>
Subject Re: [VOTE] Superset Proposal for Apache Incubator
Date Thu, 27 Apr 2017 20:24:35 GMT
Re-affirming my vote as well:

+1 (binding)

On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde <jhyde@apache.org> wrote:

> Re-affriming my vote:
>
> +1 (binding)
>
> > On Apr 26, 2017, at 11:12 PM, Jeff Feng <jeff.feng@gmail.com> wrote:
> >
> > Hello everyone,
> >
> > Thank you for checking out our proposal on Superset and for your
> > consideration for the Apache Incubator.  So far, I believe we have 8
> > binding votes and 2 non-binding votes.
> >
> > As Taylor mentioned earlier, we made a minor update to the wording in the
> > "Source and Intellectual Property Submission Plan" section based on a
> > suggestion by John Ament.  The update was to help confirm the previously
> > unstated assumption that we will submit an SGA.  I have copied the
> updated
> > proposal from the wiki to the email below and highlighted (in yellow) the
> > new sentence below in the document.
> >
> > Folks on the cc line who have already voted, please let us know if the
> > change impacts your vote.
> >
> > Thank you all,
> > Jeff
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings.  Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to self-service
> > analytics and agile workflows by any user.  This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving.  This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used.  Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are struggling
> > to provide cheap, quick and easy solutions to access data.  Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> > Business intelligence is more relevant today than at any other point in
> > history.  Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready.  Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions.  Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> > * Easy, low friction access to data through a simple, web-based data
> > exploration interface.  Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> > * Access to a wide array of rich, interactive data visualization types.
> > * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> > * Realtime & fast: Superset provides realtime analytics at the speed of
> > thought on very large datasets when integrated with Druid.io.
> > * Broad data access: Consume data out of any SQL-speaking relational
> > database.
> > * Extensible: Can be extended to talk to many noSQL databases like Apache
> > Drill, Elastic Search, and other popular database engines.
> > * Fast loading dashboards with configurable web-scale caching.
> > * Plug-in framework that enables organizations to build custom analytical
> > applications with new UI/UX interfaces.
> > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> > with more flexibility.  SQL Lab integrates with the visualization engine
> > seamlessly.
> >
> > == Initial Goals ==
> > The initial goals of the Superset project are several-fold:
> > * Move the existing codebase to Apache and integrate with the Apache
> > development process.
> > * Redesign the user interface and interaction model for creating
> > visualizations/dashboards and connecting to data sources
> > * Build robust support for security and governance of the tool including
> > popular authorization modules (including Apache Ranger and Apache Sentry)
> > and a more sophisticated permissions system
> > * Grow the extensibility of the project both in terms of enhanced
> > connectivity to NoSQL-based data sources and creating a plug-in framework
> > that enables organizations to build custom analytical applications which
> > require a new UI/UX
> >
> > == Current Status ==
> > By many standards, Superset is already a successful open source project.
> As
> > of March 2017, Superset is officially used in production at about a dozen
> > companies, has received contributions from over one hundred contributors
> on
> > Github, 1500+ forks, and 12k+ stars.
> >
> > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> > significant contributions, and expressed their commitment to the project.
> > The product is feature complete and has been viable for months. It
> already
> > serves as the main interface for consuming data at many companies of
> > different sizes.
> >
> > While the product is usable, there’s room for improvement across the
> board,
> > starting with providing a smoother user experience around content
> creation,
> > making sure all features work out-of-the-box on more platforms and
> > databases, providing better user training guides and videos, having a
> > predictable release process, and increasing the overall quality of the
> > Superset releases.
> >
> > === Meritocracy ===
> > We plan to invest in supporting a meritocracy. We will discuss the
> > requirements in an open forum. Several companies have 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 ===
> > The need for an enterprise-ready data visualization and exploration
> > platform in the open source community is tremendous.  While Superset is
> > fairly well known, recognized and used within the Druid.io community,
> > adoption is currently limited outside of that niche. There is a huge
> > opportunity to grow the community to hundreds if not thousands of
> > organizations, and we are hoping that embracing “the Apache way” will
> > accelerate the growth of our community.
> >
> > We have already been active at seeking and inviting contributions, and
> are
> > planning to scale the project by investing time and growing the support
> > structure to grow the community.
> >
> > === Core Developers ===
> > The initial committers for Superset include experienced full stack,
> > front-end and data engineers:
> > * Maxime Beauchemin (Airbnb)
> > * Alanna Scott (Airbnb)
> > * Bogdan Kyryliuk (Airbnb)
> > * Vera Liu  (Airbnb)
> > * Jeff Feng (Airbnb)
> > * Ashutosh Chauhan (Hortonworks)
> > * Nishant Bangarwa (Hortonworks)
> > * Slim Bouguerra (Hortonworks)
> > * Priyank Shah (Hortonworks)
> > * Sriharsha Chintalapani (Hortonworks)
> > * Daniel Dai (Hortonworks)
> >
> > We realize that additional employer diversity is needed, and we will work
> > aggressively to recruit developers from additional companies.
> >
> > === Alignment ===
> > The initial committers strongly believe that a system for interactive
> > visualization of data will gain broader adoption as an open source,
> > community driven project, where the community can contribute not only to
> > the core components, but also to a growing collection of connectors,
> > visualizations and improving integration a all potential data sources.
> > Superset already integrates closely with Apache Hive, the Hive metastore,
> > as well as most SQL-speaking databases found in modern data ecosystems.
> >
> > == Known Risks ==
> >
> > === Orphaned Products ===
> > Superset is a vital component for both visualizing, accessing and
> > democratizing data at Airbnb.  Also at Hortonworks, Superset is a core
> > component of the DataFlow product offering.  Thus, the risk of the
> project
> > being orphaned is relatively low.  The project could be at risk if Airbnb
> > changes their approach for democratizing data or if Hortonworks changes
> > their strategy in the market.  In such an event, the committers plan to
> > continue working on the project on their own time, thought the progress
> > will likely be slower.  We plan to mitigate this risk by recruiting
> > additional committers.
> >
> > === Inexperience with Open Source ===
> > The initial committers include veteran Apache members (committers and
> PPMC
> > members) and other developers who have varying degrees of experience with
> > open source projects. All have been involved with source code that has
> been
> > released under an open source license, and several also have experience
> > developing code with an open source development process.
> >
> > === Homogenous Developers ===
> > The initial committers are employed by Airbnb Inc. and Hortonworks. We
> are
> > committed to recruiting additional committers from other companies.
> >
> > === Reliance on Salaried Developers ===
> > It is expected that Superset development will occur on both salaried time
> > and on volunteer time, after hours. The majority of initial committers
> are
> > paid by their employer 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. We are
> > committed to recruiting additional committers including non-salaried
> > developers.
> >
> > === Relationships with Other Apache Products ===
> > To the knowledge of the Initial Committers, there are no direct
> competitors
> > to Superset within the Apache Software Foundation.  That said, Apache
> > Zeppelin is an indirect competitor, but it solves a different use case.
> >
> > Apache Zeppelin is a web-based notebook that enables interactive data
> > analytics. It enables the creation of beautiful data-driven, interactive
> > and collaborative documents with SQL, Scala and more.  Although a user
> can
> > create data visualizations using this project, it leverages a notebook
> > style user interfaces and it is geared towards the Spark community where
> > Scala and SQL co-exist
> >
> > We look forward to collaborating with those communities, as well as other
> > Apache communities.
> >
> > === An Excessive Fascination with the Apache Brand ===
> > Superset is solving two huge challenges:
> > The challenge of enabling every knowledge worker to make data informed
> > decisions, particularly those who are not deeply skilled at writing SQL.
> > The challenge of visualizing huge amounts of data interactively and in
> > real-time
> >
> > Superset was first developed as a data visualization solution for
> Druid.io
> > as a way to visualize billions of rows of data.  Since then, usage of
> > Superset has expanded to address data visualization use cases across SQL
> > speaking data sources as well.
> >
> > Our rationale for developing Superset as an Apache project is detailed in
> > the Rationale Section.  We believe that the Apache brand and community
> > process will help us attract more contributors to this project, and help
> > grow the footprint of the project through usage at other organizations
> and
> > within other applications.  Establishing consensus among users and
> > developers will result in a more valuable tool for everyone.
> >
> > == Documentation ==
> > References to further reading material:
> > * [[http://airbnb.io/superset/|Superset Documentation]]
> > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post:  Superset:
> > Airbnb’s Data Exploration Platform]]
> > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
> Post:
> > Superset: Scaling Data Access & Visual Insights at Airbnb]]
> >
> > == Initial Source ==
> > The origin of the proposed code base can be found at
> > https://github.com/airbnb/superset.  The code base is primarily in
> Python.
> >
> > == Source and Intellectual Property Submission Plan ==
> > Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
> > incubator. We do not expect any complications for the submission of the
> > Superset code base.  Our code is already in Github and there is only a
> > single code base.
> >
> > == External Dependencies ==
> > List of Python packages, from the Python Package Index (Pypi):
> >
> > * boto3
> > * celery
> > * cryptography
> > * flask-appbuilder
> > * flask-cache
> > * flask-migrate
> > * flask-script
> > * flask-sqlalchemy
> > * flask-testing
> > * humanize
> > * gunicorn
> > * markdown
> > * pandas
> > * parsedatetime
> > * pydruid
> > * PyHive
> > * python-dateutil
> > * requests
> > * simplejson
> > * six
> > * sqlalchemy
> > * sqlalchemy-utils
> > * sqlparse
> > * thrift
> > * thrift-sasl
> > * werkzeug
> >
> > List of Javascript packages, from NPM:
> > * autobind-decorator
> > * bootstrap
> > * bootstrap-datepicker
> > * brace
> > * brfs
> > * cal-heatmap
> > * classnames
> > * d3
> > * d3-cloud
> > * d3-sankey
> > * d3-scale
> > * d3-tip
> > * datamaps
> > * datatables-bootstrap3-plugin
> > * datatables.net-bs
> > * font-awesome
> > * gridster
> > * immutability-helper
> > * immutable
> > * jquery
> > * lodash.throttle
> > * mapbox-gl
> > * moment
> > * moments
> > * mustache
> > * nvd3
> > * react
> > * react-ace
> > * react-bootstrap
> > * react-bootstrap-table
> > * react-dom
> > * react-draggable
> > * react-gravatar
> > * react-grid-layout
> > * react-map-gl
> > * react-redux
> > * react-resizable
> > * react-select
> > * react-syntax-highlighter
> > * reactable
> > * redux
> > * redux-localstorage
> > * redux-thunk
> > * shortid
> > * style-loader
> > * supercluster
> > * topojson
> > * victory
> > * viewport-mercator-project
> >
> > == Cryptography ==
> > The proposal does not include cryptographic code.
> >
> > == Required Resources ==
> >
> > === Mailing List ===
> > There is a current mailing list as a Google Group “airbnb_superset” that
> we
> > are planning on deprecating as the Apache.org become ready to serve our
> > community.
> >
> > * superset-private
> > * superset-dev
> > * superset-user
> >
> > === Subversion Directory ===
> > Git is the preferred source control system.
> http://svn.apache.org/repos/as
> > f/incubator/superset
> >
> > == Git Repository ==
> > Git is the preferred source control system, we’re assuming
> > https://github.com/apache/incubator-superset based on the naming scheme
> >
> > == Issue Tracking ==
> > JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
> PRs
> > to manage our project as much as possible. It’s been said that there are
> > ways to keep Github’s issues in sync with Jira, allowing us to get best
> of
> > both worlds. If that is not possible, we will comply to using Jira.
> >
> > == Other Resources ==
> > We currently use a set of Github integrated services that are free to the
> > open source community, like Travis-ci, Code Climate, Coveralls,
> > Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
> using
> > these services as they allow us to scale contributions and optimize our
> > development flows. These services require some elevated rights on the
> > Github repository in order to set up or tune and we would like for the
> > committers to have the required rights.
> >
> >
> > == Initial Committers ==
> >
> > * Maxime Beauchemin <maxime.beauchemin@airbnb.com> - PPMC & Committer
> > * Alanna Scott <alanna.scott@airbnb.com> - PPMC & Committer
> > * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PPMC & Committer
> > * Vera Liu <vera.liu@airbnb.com> - Committer
> > * Jeff Feng <jeff.feng@airbnb.com> - PPMC & Committer
> > * Ashutosh Chauhan <hashutosh@apache.org> - Mentor & Committer
> > * Nishant Bangarwa <nbangarwa@hortonworks.com> - PPMC & Committer
> > * Slim Bouguerra <sbouguerra@hortonworks.com> - Committer
> > * Priyank Shah <pshah@hortonworks.com> - Committer
> > * Harsha Chintalapani <schintalapani@hortonworks.com> - Committer
> > * Daniel Dai <daijy@apache.org> - Champion & Committer
> > * Luke Han <luke.han@apache.org> - Mentor
> >
> > == Affiliations ==
> > The initial committers are employees of Airbnb Inc. and Hortonworks.
> >
> > == Sponsors ==
> >
> > === Champion ===
> > Daniel Dai <daijy@apache.org>
> >
> > === Nominated Mentors ===
> > * Ashutosh Chauhan <hashutosh@apache.org>
> > * Luke Han <luke.han@apache.org>
> >
> > === Sponsoring Entity ===
> > Incubator PMC
> >
> >
> >
> >
> >
> > On Wed, Apr 26, 2017 at 6:31 PM, Edward J. Yoon <edwardyoon@apache.org>
> > wrote:
> >
> >> +1 binding
> >>
> >> On Thu, Apr 27, 2017 at 10:29 AM, Naresh Agarwal
> >> <naresh.agarwal@gmail.com> wrote:
> >>> +1 (non-binding).
> >>>
> >>> Thanks
> >>> Naresh Agarwal
> >>>
> >>> On Thu, Apr 27, 2017 at 5:06 AM, Ted Dunning <ted.dunning@gmail.com>
> >> wrote:
> >>>
> >>>> +1 (binding)
> >>>>
> >>>>
> >>>>
> >>>> On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt <joe.witt@gmail.com> wrote:
> >>>>
> >>>>> +1 (binding)
> >>>>>
> >>>>> On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey
> >>>>> <jitendra@hortonworks.com> wrote:
> >>>>>> +1 (binding)
> >>>>>>
> >>>>>> On 4/25/17, 1:27 PM, "Julian Hyde" <jhyde@apache.org> wrote:
> >>>>>>
> >>>>>>    +1 binding
> >>>>>>
> >>>>>>> On Apr 25, 2017, at 12:48 PM, moon soo Lee <moon@apache.org>
> >>>>> wrote:
> >>>>>>>
> >>>>>>> +1 (non-binding)
> >>>>>>>
> >>>>>>> On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan <
> >>>>> hashutosh@apache.org>
> >>>>>>> wrote:
> >>>>>>>
> >>>>>>>> +1 (binding)
> >>>>>>>>
> >>>>>>>> Thanks,
> >>>>>>>> Ashutosh
> >>>>>>>>
> >>>>>>>> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han <luke.hq@gmail.com
> >>>
> >>>>> wrote:
> >>>>>>>>
> >>>>>>>>> +1 binding
> >>>>>>>>>
> >>>>>>>>> Love to see Superset to be new incubator project.
> >>>>>>>>>
> >>>>>>>>>
> >>>>>>>>> Best Regards!
> >>>>>>>>> ---------------------
> >>>>>>>>>
> >>>>>>>>> Luke Han
> >>>>>>>>>
> >>>>>>>>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng <
> >>>> jeff.feng@gmail.com>
> >>>>> wrote:
> >>>>>>>>>
> >>>>>>>>>> Dear Apache Incubator Community,
> >>>>>>>>>>
> >>>>>>>>>> We have updated the Superset proposal
> >>>>>>>>>> <https://wiki.apache.org/incubator/SupersetProposal>
> >> (copied
> >>>>> below) for
> >>>>>>>>>>
> >>>>>>>>>> Apache Incubation with an additional mentor (Luke Han -
> >>>>>>>>>> luke.han@apache.org),
> >>>>>>>>>> and would like to start a vote thread for acceptance into
> >> the
> >>>>> incubator.
> >>>>>>>>>>
> >>>>>>>>>> Our team is excited to share Superset with the Apache
> >>>> community
> >>>>> and we
> >>>>>>>>>> hope
> >>>>>>>>>> for the your continued support!
> >>>>>>>>>>
> >>>>>>>>>> Cheers,
> >>>>>>>>>> Jeff & the Superset Team
> >>>>>>>>>>
> >>>>>>>>>>
> >>>>>>>>>>
> >>>>>>>>>>
> >>>>>>>>>> = Superset =
> >>>>>>>>>>
> >>>>>>>>>> == Abstract ==
> >>>>>>>>>> Superset is an enterprise-ready web application for data
> >>>>> exploration,
> >>>>>>>> data
> >>>>>>>>>> visualization and dashboarding.
> >>>>>>>>>>
> >>>>>>>>>> == Proposal ==
> >>>>>>>>>> Superset is business intelligence (BI) software that helps
> >>>>> modern
> >>>>>>>>>> organizations visualize and interact with their data.
> >> Superset
> >>>>> enables
> >>>>>>>>>> users explore data from a variety of databases, assemble
> >>>>> beautiful
> >>>>>>>>>> dashboards and share their findings.  Superset works neatly
> >>>>> with all
> >>>>>>>>>> modern
> >>>>>>>>>> SQL-speaking databases, and integrates with Druid.io to
> >>>> provide
> >>>>>>>> real-time,
> >>>>>>>>>> interactive, blazing fast data access to large datasets.
> >>>>>>>>>>
> >>>>>>>>>> == Background ==
> >>>>>>>>>> Data is mission critical. To succeed in this era,
> >>>> organizations
> >>>>> need to
> >>>>>>>>>> provide low-friction, intuitive and interactive access to
> >>>> data.
> >>>>> It is
> >>>>>>>>>> paramount for knowledge workers to be capable of answering
> >>>>> their own
> >>>>>>>>>> questions by querying, exploring and visualizing data.
> >>>>>>>>>>
> >>>>>>>>>> The entire business intelligence industry has pivoted from
> >> a
> >>>>> model of
> >>>>>>>>>> centralized top-down platforms driven by IT organizations
> >> to
> >>>>>>>> self-service
> >>>>>>>>>> analytics and agile workflows by any user.  This shift
> >>>> unblocks
> >>>>>>>>>> centralized
> >>>>>>>>>> service bottlenecks for creating data visualizations while
> >>>> also
> >>>>> creating
> >>>>>>>>>> an
> >>>>>>>>>> environment that is iterative and fast-moving.  This means
> >>>> that
> >>>>> business
> >>>>>>>>>> intelligence software must also be easy and delightful to
> >> use.
> >>>>>>>>>> Self-service analytics doesn’t mean that admin and
> >> governance
> >>>>> features
> >>>>>>>> are
> >>>>>>>>>> not needed.
> >>>>>>>>>> Modern BI tools provide fine-grain access controls and
> >>>> auditing
> >>>>>>>>>> capabilities to understand how data is being used.
> >> Superset
> >>>> is
> >>>>> a
> >>>>>>>> solution
> >>>>>>>>>> that delivers on all of these vectors.
> >>>>>>>>>>
> >>>>>>>>>> The technology stack is also constantly morphing - vendors
> >> are
> >>>>>>>> struggling
> >>>>>>>>>> to provide cheap, quick and easy solutions to access data.
> >>>>> Business
> >>>>>>>>>> intelligence users are finding existing solutions lacking
> >> as
> >>>>> these
> >>>>>>>>>> software
> >>>>>>>>>> products either disregard or react slowly to recent
> >>>>> game-changing
> >>>>>>>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache
> >>>>> Kylin, d3.js,
> >>>>>>>>>> React.js and iPython’s Jupyter for instance.
> >>>>>>>>>>
> >>>>>>>>>> == Rationale ==
> >>>>>>>>>> Business intelligence is more relevant today than at any
> >> other
> >>>>> point in
> >>>>>>>>>> history.  Organizations are currently very limited in
> >> options
> >>>>> for open
> >>>>>>>>>> source data visualization solutions, especially solutions
> >> that
> >>>>> are both
> >>>>>>>>>> self-service and enterprise-ready.  Every company informing
> >>>>> their
> >>>>>>>>>> decisions
> >>>>>>>>>> with data needs a BI tool.
> >>>>>>>>>>
> >>>>>>>>>> We believe that Superset will be a strong compliment to
> >>>>> existing Apache
> >>>>>>>>>> Software Foundation technologies by offering scalable user
> >>>>> interactions
> >>>>>>>> to
> >>>>>>>>>> distributed storage and computation solutions.  Users will
> >>>>> often find
> >>>>>>>> that
> >>>>>>>>>> Superset can act as a catalyst for tooling that can
> >> visualize
> >>>>> the
> >>>>>>>>>> byproduct
> >>>>>>>>>> of data and computation infrastructure.
> >>>>>>>>>>
> >>>>>>>>>> Superset has many key design elements that help fill a gap
> >> in
> >>>>> current
> >>>>>>>>>> solutions for organizations:
> >>>>>>>>>> * Easy, low friction access to data through a simple,
> >>>> web-based
> >>>>> data
> >>>>>>>>>> exploration interface.  Composing charts and dashboards are
> >>>>> intuitive.
> >>>>>>>>>> Eliminating the need to write code or SQL empowers anyone
> >> to
> >>>>> use it.
> >>>>>>>>>> * Access to a wide array of rich, interactive data
> >>>>> visualization types.
> >>>>>>>>>> * Enterprise-ready: Integration with different
> >> authentication
> >>>>>>>> mechanisms
> >>>>>>>>>> and granular permissions centered around actions and data
> >>>>> access.
> >>>>>>>>>> * Realtime & fast: Superset provides realtime analytics at
> >> the
> >>>>> speed of
> >>>>>>>>>> thought on very large datasets when integrated with
> >> Druid.io.
> >>>>>>>>>> * Broad data access: Consume data out of any SQL-speaking
> >>>>> relational
> >>>>>>>>>> database.
> >>>>>>>>>> * Extensible: Can be extended to talk to many noSQL
> >> databases
> >>>>> like
> >>>>>>>> Apache
> >>>>>>>>>> Drill, Elastic Search, and other popular database engines.
> >>>>>>>>>> * Fast loading dashboards with configurable web-scale
> >> caching.
> >>>>>>>>>> * Plug-in framework that enables organizations to build
> >> custom
> >>>>>>>> analytical
> >>>>>>>>>> applications with new UI/UX interfaces.
> >>>>>>>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers
> >>>>> SQL-speaking users
> >>>>>>>>>> with more flexibility.  SQL Lab integrates with the
> >>>>> visualization engine
> >>>>>>>>>> seamlessly.
> >>>>>>>>>>
> >>>>>>>>>> == Initial Goals ==
> >>>>>>>>>> The initial goals of the Superset project are several-fold:
> >>>>>>>>>> * Move the existing codebase to Apache and integrate with
> >> the
> >>>>> Apache
> >>>>>>>>>> development process.
> >>>>>>>>>> * Redesign the user interface and interaction model for
> >>>> creating
> >>>>>>>>>> visualizations/dashboards and connecting to data sources
> >>>>>>>>>> * Build robust support for security and governance of the
> >> tool
> >>>>>>>> including
> >>>>>>>>>> popular authorization modules (including Apache Ranger and
> >>>>> Apache
> >>>>>>>> Sentry)
> >>>>>>>>>> and a more sophisticated permissions system
> >>>>>>>>>> * Grow the extensibility of the project both in terms of
> >>>>> enhanced
> >>>>>>>>>> connectivity to NoSQL-based data sources and creating a
> >>>> plug-in
> >>>>>>>> framework
> >>>>>>>>>> that enables organizations to build custom analytical
> >>>>> applications which
> >>>>>>>>>> require a new UI/UX
> >>>>>>>>>>
> >>>>>>>>>> == Current Status ==
> >>>>>>>>>> By many standards, Superset is already a successful open
> >>>> source
> >>>>> project.
> >>>>>>>>>> As
> >>>>>>>>>> of March 2017, Superset is officially used in production at
> >>>>> about a
> >>>>>>>> dozen
> >>>>>>>>>> companies, has received contributions from over one hundred
> >>>>> contributors
> >>>>>>>>>> on
> >>>>>>>>>> Github, 1500+ forks, and 12k+ stars.
> >>>>>>>>>>
> >>>>>>>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have
> >>>> made
> >>>>>>>>>> significant contributions, and expressed their commitment
> >> to
> >>>> the
> >>>>>>>> project.
> >>>>>>>>>> The product is feature complete and has been viable for
> >>>> months.
> >>>>> It
> >>>>>>>> already
> >>>>>>>>>> serves as the main interface for consuming data at many
> >>>>> companies of
> >>>>>>>>>> different sizes.
> >>>>>>>>>>
> >>>>>>>>>> While the product is usable, there’s room for improvement
> >>>>> across the
> >>>>>>>>>> board,
> >>>>>>>>>> starting with providing a smoother user experience around
> >>>>> content
> >>>>>>>>>> creation,
> >>>>>>>>>> making sure all features work out-of-the-box on more
> >> platforms
> >>>>> and
> >>>>>>>>>> databases, providing better user training guides and
> >> videos,
> >>>>> having a
> >>>>>>>>>> predictable release process, and increasing the overall
> >>>> quality
> >>>>> of the
> >>>>>>>>>> Superset releases.
> >>>>>>>>>>
> >>>>>>>>>> === Meritocracy ===
> >>>>>>>>>> We plan to invest in supporting a meritocracy. We will
> >> discuss
> >>>>> the
> >>>>>>>>>> requirements in an open forum. Several companies have
> >>>> 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 ===
> >>>>>>>>>> The need for an enterprise-ready data visualization and
> >>>>> exploration
> >>>>>>>>>> platform in the open source community is tremendous.  While
> >>>>> Superset is
> >>>>>>>>>> fairly well known, recognized and used within the Druid.io
> >>>>> community,
> >>>>>>>>>> adoption is currently limited outside of that niche. There
> >> is
> >>>> a
> >>>>> huge
> >>>>>>>>>> opportunity to grow the community to hundreds if not
> >> thousands
> >>>>> of
> >>>>>>>>>> organizations, and we are hoping that embracing “the Apache
> >>>>> way” will
> >>>>>>>>>> accelerate the growth of our community.
> >>>>>>>>>>
> >>>>>>>>>> We have already been active at seeking and inviting
> >>>>> contributions, and
> >>>>>>>> are
> >>>>>>>>>> planning to scale the project by investing time and growing
> >>>> the
> >>>>> support
> >>>>>>>>>> structure to grow the community.
> >>>>>>>>>>
> >>>>>>>>>> === Core Developers ===
> >>>>>>>>>> The initial committers for Superset include experienced
> >> full
> >>>>> stack,
> >>>>>>>>>> front-end and data engineers:
> >>>>>>>>>> * Maxime Beauchemin (Airbnb)
> >>>>>>>>>> * Alanna Scott (Airbnb)
> >>>>>>>>>> * Bogdan Kyryliuk (Airbnb)
> >>>>>>>>>> * Vera Liu  (Airbnb)
> >>>>>>>>>> * Jeff Feng (Airbnb)
> >>>>>>>>>> * Ashutosh Chauhan (Hortonworks)
> >>>>>>>>>> * Nishant Bangarwa (Hortonworks)
> >>>>>>>>>> * Slim Bouguerra (Hortonworks)
> >>>>>>>>>> * Priyank Shah (Hortonworks)
> >>>>>>>>>> * Sriharsha Chintalapani (Hortonworks)
> >>>>>>>>>> * Daniel Dai (Hortonworks)
> >>>>>>>>>>
> >>>>>>>>>> We realize that additional employer diversity is needed,
> >> and
> >>>> we
> >>>>> will
> >>>>>>>> work
> >>>>>>>>>> aggressively to recruit developers from additional
> >> companies.
> >>>>>>>>>>
> >>>>>>>>>> === Alignment ===
> >>>>>>>>>> The initial committers strongly believe that a system for
> >>>>> interactive
> >>>>>>>>>> visualization of data will gain broader adoption as an open
> >>>>> source,
> >>>>>>>>>> community driven project, where the community can
> >> contribute
> >>>>> not only to
> >>>>>>>>>> the core components, but also to a growing collection of
> >>>>> connectors,
> >>>>>>>>>> visualizations and improving integration a all potential
> >> data
> >>>>> sources.
> >>>>>>>>>> Superset already integrates closely with Apache Hive, the
> >> Hive
> >>>>>>>> metastore,
> >>>>>>>>>> as well as most SQL-speaking databases found in modern data
> >>>>> ecosystems.
> >>>>>>>>>>
> >>>>>>>>>> == Known Risks ==
> >>>>>>>>>>
> >>>>>>>>>> === Orphaned Products ===
> >>>>>>>>>> Superset is a vital component for both visualizing,
> >> accessing
> >>>>> and
> >>>>>>>>>> democratizing data at Airbnb.  Also at Hortonworks,
> >> Superset
> >>>> is
> >>>>> a core
> >>>>>>>>>> component of the DataFlow product offering.  Thus, the
> >> risk of
> >>>>> the
> >>>>>>>> project
> >>>>>>>>>> being orphaned is relatively low.  The project could be at
> >>>> risk
> >>>>> if
> >>>>>>>> Airbnb
> >>>>>>>>>> changes their approach for democratizing data or if
> >>>> Hortonworks
> >>>>> changes
> >>>>>>>>>> their strategy in the market.  In such an event, the
> >>>> committers
> >>>>> plan to
> >>>>>>>>>> continue working on the project on their own time, thought
> >> the
> >>>>> progress
> >>>>>>>>>> will likely be slower.  We plan to mitigate this risk by
> >>>>> recruiting
> >>>>>>>>>> additional committers.
> >>>>>>>>>>
> >>>>>>>>>> === Inexperience with Open Source ===
> >>>>>>>>>> The initial committers include veteran Apache members
> >>>>> (committers and
> >>>>>>>> PPMC
> >>>>>>>>>> members) and other developers who have varying degrees of
> >>>>> experience
> >>>>>>>> with
> >>>>>>>>>> open source projects. All have been involved with source
> >> code
> >>>>> that has
> >>>>>>>>>> been
> >>>>>>>>>> released under an open source license, and several also
> >> have
> >>>>> experience
> >>>>>>>>>> developing code with an open source development process.
> >>>>>>>>>>
> >>>>>>>>>> === Homogenous Developers ===
> >>>>>>>>>> The initial committers are employed by Airbnb Inc. and
> >>>>> Hortonworks. We
> >>>>>>>> are
> >>>>>>>>>> committed to recruiting additional committers from other
> >>>>> companies.
> >>>>>>>>>>
> >>>>>>>>>> === Reliance on Salaried Developers ===
> >>>>>>>>>> It is expected that Superset development will occur on both
> >>>>> salaried
> >>>>>>>> time
> >>>>>>>>>> and on volunteer time, after hours. The majority of initial
> >>>>> committers
> >>>>>>>> are
> >>>>>>>>>> paid by their employer 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. We
> >>>>>>>> are
> >>>>>>>>>> committed to recruiting additional committers including
> >>>>> non-salaried
> >>>>>>>>>> developers.
> >>>>>>>>>>
> >>>>>>>>>> === Relationships with Other Apache Products ===
> >>>>>>>>>> To the knowledge of the Initial Committers, there are no
> >>>> direct
> >>>>>>>>>> competitors
> >>>>>>>>>> to Superset within the Apache Software Foundation.  That
> >> said,
> >>>>> Apache
> >>>>>>>>>> Zeppelin is an indirect competitor, but it solves a
> >> different
> >>>>> use case.
> >>>>>>>>>>
> >>>>>>>>>> Apache Zeppelin is a web-based notebook that enables
> >>>>> interactive data
> >>>>>>>>>> analytics. It enables the creation of beautiful
> >> data-driven,
> >>>>> interactive
> >>>>>>>>>> and collaborative documents with SQL, Scala and more.
> >>>> Although
> >>>>> a user
> >>>>>>>> can
> >>>>>>>>>> create data visualizations using this project, it
> >> leverages a
> >>>>> notebook
> >>>>>>>>>> style user interfaces and it is geared towards the Spark
> >>>>> community where
> >>>>>>>>>> Scala and SQL co-exist
> >>>>>>>>>>
> >>>>>>>>>> We look forward to collaborating with those communities, as
> >>>>> well as
> >>>>>>>> other
> >>>>>>>>>> Apache communities.
> >>>>>>>>>>
> >>>>>>>>>> === An Excessive Fascination with the Apache Brand ===
> >>>>>>>>>> Superset is solving two huge challenges:
> >>>>>>>>>> The challenge of enabling every knowledge worker to make
> >> data
> >>>>> informed
> >>>>>>>>>> decisions, particularly those who are not deeply skilled at
> >>>>> writing SQL.
> >>>>>>>>>> The challenge of visualizing huge amounts of data
> >>>> interactively
> >>>>> and in
> >>>>>>>>>> real-time
> >>>>>>>>>>
> >>>>>>>>>> Superset was first developed as a data visualization
> >> solution
> >>>>> for
> >>>>>>>> Druid.io
> >>>>>>>>>> as a way to visualize billions of rows of data.  Since
> >> then,
> >>>>> usage of
> >>>>>>>>>> Superset has expanded to address data visualization use
> >> cases
> >>>>> across SQL
> >>>>>>>>>> speaking data sources as well.
> >>>>>>>>>>
> >>>>>>>>>> Our rationale for developing Superset as an Apache project
> >> is
> >>>>> detailed
> >>>>>>>> in
> >>>>>>>>>> the Rationale Section.  We believe that the Apache brand
> >> and
> >>>>> community
> >>>>>>>>>> process will help us attract more contributors to this
> >>>> project,
> >>>>> and help
> >>>>>>>>>> grow the footprint of the project through usage at other
> >>>>> organizations
> >>>>>>>> and
> >>>>>>>>>> within other applications.  Establishing consensus among
> >> users
> >>>>> and
> >>>>>>>>>> developers will result in a more valuable tool for
> >> everyone.
> >>>>>>>>>>
> >>>>>>>>>> == Documentation ==
> >>>>>>>>>> References to further reading material:
> >>>>>>>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
> >>>>>>>>>> * [[
> >>>>>>>>>> https://medium.com/airbnb-engi
> >> neering/caravel-airbnb-s-data-
> >>>>>>>>>> exploration-platform-15a72aa610e5#.npqmmbu25|Blog
> >>>>>>>>>> Post:  Superset: Airbnb’s Data Exploration Platform]]
> >>>>>>>>>> * [[
> >>>>>>>>>> https://medium.com/airbnb-engi
> >> neering/superset-scaling-data-
> >>>>>>>>>> access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.
> >>>>> a505zvb1t|Blog
> >>>>>>>>>> Post:  Superset: Scaling Data Access & Visual Insights at
> >>>>> Airbnb]]
> >>>>>>>>>>
> >>>>>>>>>> == Initial Source ==
> >>>>>>>>>> The origin of the proposed code base can be found at
> >>>>>>>>>> https://github.com/airbnb/superset.  The code base is
> >>>>> primarily in
> >>>>>>>>>> Python.
> >>>>>>>>>>
> >>>>>>>>>> == Source and Intellectual Property Submission Plan ==
> >>>>>>>>>> We do not expect any complications for the submission of
> >> the
> >>>>> Superset
> >>>>>>>> code
> >>>>>>>>>> base.  Our code is already in Github and there is only a
> >>>> single
> >>>>> code
> >>>>>>>> base.
> >>>>>>>>>>
> >>>>>>>>>> == External Dependencies ==
> >>>>>>>>>> List of Python packages, from the Python Package Index
> >> (Pypi):
> >>>>>>>>>>
> >>>>>>>>>> * boto3
> >>>>>>>>>> * celery
> >>>>>>>>>> * cryptography
> >>>>>>>>>> * flask-appbuilder
> >>>>>>>>>> * flask-cache
> >>>>>>>>>> * flask-migrate
> >>>>>>>>>> * flask-script
> >>>>>>>>>> * flask-sqlalchemy
> >>>>>>>>>> * flask-testing
> >>>>>>>>>> * humanize
> >>>>>>>>>> * gunicorn
> >>>>>>>>>> * markdown
> >>>>>>>>>> * pandas
> >>>>>>>>>> * parsedatetime
> >>>>>>>>>> * pydruid
> >>>>>>>>>> * PyHive
> >>>>>>>>>> * python-dateutil
> >>>>>>>>>> * requests
> >>>>>>>>>> * simplejson
> >>>>>>>>>> * six
> >>>>>>>>>> * sqlalchemy
> >>>>>>>>>> * sqlalchemy-utils
> >>>>>>>>>> * sqlparse
> >>>>>>>>>> * thrift
> >>>>>>>>>> * thrift-sasl
> >>>>>>>>>> * werkzeug
> >>>>>>>>>>
> >>>>>>>>>> List of Javascript packages, from NPM:
> >>>>>>>>>> * autobind-decorator
> >>>>>>>>>> * bootstrap
> >>>>>>>>>> * bootstrap-datepicker
> >>>>>>>>>> * brace
> >>>>>>>>>> * brfs
> >>>>>>>>>> * cal-heatmap
> >>>>>>>>>> * classnames
> >>>>>>>>>> * d3
> >>>>>>>>>> * d3-cloud
> >>>>>>>>>> * d3-sankey
> >>>>>>>>>> * d3-scale
> >>>>>>>>>> * d3-tip
> >>>>>>>>>> * datamaps
> >>>>>>>>>> * datatables-bootstrap3-plugin
> >>>>>>>>>> * datatables.net-bs
> >>>>>>>>>> * font-awesome
> >>>>>>>>>> * gridster
> >>>>>>>>>> * immutability-helper
> >>>>>>>>>> * immutable
> >>>>>>>>>> * jquery
> >>>>>>>>>> * lodash.throttle
> >>>>>>>>>> * mapbox-gl
> >>>>>>>>>> * moment
> >>>>>>>>>> * moments
> >>>>>>>>>> * mustache
> >>>>>>>>>> * nvd3
> >>>>>>>>>> * react
> >>>>>>>>>> * react-ace
> >>>>>>>>>> * react-bootstrap
> >>>>>>>>>> * react-bootstrap-table
> >>>>>>>>>> * react-dom
> >>>>>>>>>> * react-draggable
> >>>>>>>>>> * react-gravatar
> >>>>>>>>>> * react-grid-layout
> >>>>>>>>>> * react-map-gl
> >>>>>>>>>> * react-redux
> >>>>>>>>>> * react-resizable
> >>>>>>>>>> * react-select
> >>>>>>>>>> * react-syntax-highlighter
> >>>>>>>>>> * reactable
> >>>>>>>>>> * redux
> >>>>>>>>>> * redux-localstorage
> >>>>>>>>>> * redux-thunk
> >>>>>>>>>> * shortid
> >>>>>>>>>> * style-loader
> >>>>>>>>>> * supercluster
> >>>>>>>>>> * topojson
> >>>>>>>>>> * victory
> >>>>>>>>>> * viewport-mercator-project
> >>>>>>>>>>
> >>>>>>>>>> == Cryptography ==
> >>>>>>>>>> The proposal does not include cryptographic code.
> >>>>>>>>>>
> >>>>>>>>>> == Required Resources ==
> >>>>>>>>>>
> >>>>>>>>>> === Mailing List ===
> >>>>>>>>>> There is a current mailing list as a Google Group
> >>>>> “airbnb_superset” that
> >>>>>>>>>> we
> >>>>>>>>>> are planning on deprecating as the Apache.org become ready
> >> to
> >>>>> serve our
> >>>>>>>>>> community.
> >>>>>>>>>>
> >>>>>>>>>> * superset-private
> >>>>>>>>>> * superset-dev
> >>>>>>>>>> * superset-user
> >>>>>>>>>>
> >>>>>>>>>> === Subversion Directory ===
> >>>>>>>>>> Git is the preferred source control system.
> >>>>>>>>>> http://svn.apache.org/repos/asf/incubator/superset
> >>>>>>>>>>
> >>>>>>>>>> == Git Repository ==
> >>>>>>>>>> Git is the preferred source control system, we’re assuming
> >>>>>>>>>> https://github.com/apache/incubator-superset based on the
> >>>>> naming scheme
> >>>>>>>>>>
> >>>>>>>>>> == Issue Tracking ==
> >>>>>>>>>> JIRA Superset (SUPERSET). If possible, we’d like to use
> >> Github
> >>>>> issues &
> >>>>>>>>>> PRs
> >>>>>>>>>> to manage our project as much as possible. It’s been said
> >> that
> >>>>> there are
> >>>>>>>>>> ways to keep Github’s issues in sync with Jira, allowing
> >> us to
> >>>>> get best
> >>>>>>>> of
> >>>>>>>>>> both worlds. If that is not possible, we will comply to
> >> using
> >>>>> Jira.
> >>>>>>>>>>
> >>>>>>>>>> == Other Resources ==
> >>>>>>>>>> We currently use a set of Github integrated services that
> >> are
> >>>>> free to
> >>>>>>>> the
> >>>>>>>>>> open source community, like Travis-ci, Code Climate,
> >>>> Coveralls,
> >>>>>>>>>> Landscape.io, Requires.io, david-dm and Gitter. We would
> >> like
> >>>>> to keep
> >>>>>>>>>> using
> >>>>>>>>>> these services as they allow us to scale contributions and
> >>>>> optimize our
> >>>>>>>>>> development flows. These services require some elevated
> >> rights
> >>>>> on the
> >>>>>>>>>> Github repository in order to set up or tune and we would
> >> like
> >>>>> for the
> >>>>>>>>>> committers to have the required rights.
> >>>>>>>>>>
> >>>>>>>>>>
> >>>>>>>>>> == Initial Committers ==
> >>>>>>>>>>
> >>>>>>>>>> * Maxime Beauchemin <maxime.beauchemin@airbnb.com> - PPMC
> >> &
> >>>>> Committer
> >>>>>>>>>> * Alanna Scott <alanna.scott@airbnb.com> - PPMC &
> >> Committer
> >>>>>>>>>> * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PPMC &
> >> Committer
> >>>>>>>>>> * Vera Liu <vera.liu@airbnb.com> - Committer
> >>>>>>>>>> * Jeff Feng <jeff.feng@airbnb.com> - PPMC & Committer
> >>>>>>>>>> * Ashutosh Chauhan <hashutosh@apache.org> - Mentor &
> >>>> Committer
> >>>>>>>>>> * Nishant Bangarwa <nbangarwa@hortonworks.com> - PPMC &
> >>>>> Committer
> >>>>>>>>>> * Slim Bouguerra <sbouguerra@hortonworks.com> - Committer
> >>>>>>>>>> * Priyank Shah <pshah@hortonworks.com> - Committer
> >>>>>>>>>> * Harsha Chintalapani <schintalapani@hortonworks.com> -
> >>>>> Committer
> >>>>>>>>>> * Daniel Dai <daijy@apache.org> - Champion & Committer
> >>>>>>>>>> * Luke Han <luke.han@apache.org> - Mentor
> >>>>>>>>>>
> >>>>>>>>>> == Affiliations ==
> >>>>>>>>>> The initial committers are employees of Airbnb Inc. and
> >>>>> Hortonworks.
> >>>>>>>>>>
> >>>>>>>>>> == Sponsors ==
> >>>>>>>>>>
> >>>>>>>>>> === Champion ===
> >>>>>>>>>> Daniel Dai <daijy@apache.org>
> >>>>>>>>>>
> >>>>>>>>>> === Nominated Mentors ===
> >>>>>>>>>> * Ashutosh Chauhan <hashutosh@apache.org>
> >>>>>>>>>> * Luke Han <luke.han@apache.org>
> >>>>>>>>>>
> >>>>>>>>>> === Sponsoring Entity ===
> >>>>>>>>>> Incubator PMC
> >>>>>>>>>>
> >>>>>>>>>
> >>>>>>>>>
> >>>>>>>>
> >>>>>>
> >>>>>>
> >>>>>>    ------------------------------------------------------------
> >>>>> ---------
> >>>>>>    To unsubscribe, e-mail: general-unsubscribe@incubator.
> >> apache.org
> >>>>>>    For additional commands, e-mail: general-help@incubator.apache.
> >> org
> >>>>>>
> >>>>>>
> >>>>>>
> >>>>>>
> >>>>>
> >>>>> ------------------------------------------------------------
> ---------
> >>>>> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> >>>>> For additional commands, e-mail: general-help@incubator.apache.org
> >>>>>
> >>>>>
> >>>>
> >>
> >>
> >>
> >> --
> >> Best Regards, Edward J. Yoon
> >>
> >> ---------------------------------------------------------------------
> >> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> >> For additional commands, e-mail: general-help@incubator.apache.org
> >>
> >>
>
>
>
> ---------------------------------------------------------------------
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