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From "Debo Dutta (dedutta)" <dedu...@cisco.com>
Subject Re: [PROPOSAL] Superset Proposal for Apache Incubator
Date Thu, 13 Apr 2017 17:17:40 GMT
happy to help

debo

On 4/13/17, 9:59 AM, "Maxime Beauchemin" <maximebeauchemin@gmail.com> wrote:

    Hi Jean-Baptiste,
    
    We are indeed looking for more mentors.
    
    Should I update the wiki and replace all references to PMC by PPMC?
    
    Thanks,
    
    Max
    
    On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <jb@nanthrax.net>
    wrote:
    
    > Hi Maxime,
    >
    > The proposal looks interesting.
    >
    > Just a note,  it's PPMC (not PMC) during incubation.
    >
    > Are you seeking for other mentor (I see you only have one mentor and one
    > champion for now) ?
    >
    > Regards
    > JB
    >
    >
    > On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
    >
    >> Hi all,
    >>
    >> We would love feedback on the proposal. Do the veterans on this mailing
    >> list think that the proposal is ready for a vote!?
    >>
    >> Thanks,
    >>
    >> Max
    >>
    >> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <luke.hq@gmail.com> wrote:
    >>
    >> Hi Jeff,
    >>>     This is great project which have been mentioned many times in
    >>> community. It looks cool and fun for data works.
    >>>
    >>>     Thanks to proposal Superset to be Apache Incubator Project, please
    >>> let
    >>> me know if there's anything I could help.
    >>>
    >>>     Thanks.
    >>> Luke
    >>>
    >>>
    >>> Best Regards!
    >>> ---------------------
    >>>
    >>> Luke Han
    >>>
    >>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <jeff.feng@airbnb.com.invalid>
    >>> wrote:
    >>>
    >>> Dear Apache Incubator Community,
    >>>>
    >>>> We are excited to share our proposal for discussion and feedback for
    >>>> entering Apache Incubation.  Superset is an enterprise-ready web
    >>>> application for data exploration, data visualization and dashboarding.
    >>>>
    >>>> Our Incubation proposal is at the following Wiki as well as copied in
    >>>> the
    >>>> email below:
    >>>>
    >>>> https://wiki.apache.org/incubator/SupersetProposal
    >>>>
    >>>> We have an active Superset community including 400+ members and nearly
    >>>>
    >>> 200
    >>>
    >>>> topics.  The Google Group can be found below.  We plan to move the
    >>>> discussion to the ASF:
    >>>>
    >>>> https://groups.google.com/forum/#!forum/airbnb_superset
    >>>>
    >>>> Thank you and look forward to the discussion!
    >>>>
    >>>> Jeff, Max & Alanna
    >>>>
    >>>>
    >>>>
    >>>>
    >>>> = 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
    >>>> PMC
    >>>> 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 ==
    >>>>
    >>>> 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> - PMC &
Committer
    >>>>
    >>>> * Alanna Scott <alanna.scott@airbnb.com> - PMC & Committer
    >>>>
    >>>> * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PMC & Committer
    >>>>
    >>>> * Vera Liu <vera.liu@airbnb.com> - Committer
    >>>>
    >>>> * Jeff Feng <jeff.feng@airbnb.com> - PMC & Committer
    >>>>
    >>>> * Ashutosh Chauhan <hashutosh@apache.org> - Mentor & Committer
    >>>>
    >>>> * Nishant Bangarwa <nbangarwa@hortonworks.com> - PMC & 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
    >>>>
    >>>> == 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>
    >>>>
    >>>> === Sponsoring Entity ===
    >>>>
    >>>> Incubator PMC
    >>>>
    >>>>
    >>>> --
    >>>>
    >>>> *Jeff Feng*
    >>>> Product Manager
    >>>> m: (949)-610-5108 <(949)%20610-5108>
    >>>> twitter: @jtfeng
    >>>>
    >>>>
    >>>
    >>
    > --
    > Jean-Baptiste Onofré
    > jbonofre@apache.org
    > http://blog.nanthrax.net
    > Talend - http://www.talend.com
    >
    > ---------------------------------------------------------------------
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    >
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