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From Jim Jagielski <...@jaguNET.com>
Subject Re: [VOTE] Superset Proposal for Apache Incubator
Date Fri, 28 Apr 2017 12:17:31 GMT
+1 (binding)

And an offer to mentor if you would like/want another.

> On Apr 27, 2017, at 1:02 PM, Felix Cheung <felixcheung@apache.org> wrote:
> 
> +1 (nonbinding)
> 
> On Wed, Apr 26, 2017 at 11:13 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 <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
>> 
>> 
>> 
>> 
>> 
>> 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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