+1 binding On Thu, Apr 27, 2017 at 10:29 AM, Naresh Agarwal <naresh.agar...@gmail.com> wrote: > +1 (non-binding). > > Thanks > Naresh Agarwal > > On Thu, Apr 27, 2017 at 5:06 AM, Ted Dunning <ted.dunn...@gmail.com> wrote: > >> +1 (binding) >> >> >> >> On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt <joe.w...@gmail.com> wrote: >> >> > +1 (binding) >> > >> > On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey >> > <jiten...@hortonworks.com> wrote: >> > > +1 (binding) >> > > >> > > On 4/25/17, 1:27 PM, "Julian Hyde" <jh...@apache.org> wrote: >> > > >> > > +1 binding >> > > >> > > > On Apr 25, 2017, at 12:48 PM, moon soo Lee <m...@apache.org> >> > wrote: >> > > > >> > > > +1 (non-binding) >> > > > >> > > > On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan < >> > hashut...@apache.org> >> > > > wrote: >> > > > >> > > >> +1 (binding) >> > > >> >> > > >> Thanks, >> > > >> Ashutosh >> > > >> >> > > >> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han <luke...@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.f...@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....@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-engineering/caravel-airbnb-s-data- >> > > >>>> exploration-platform-15a72aa610e5#.npqmmbu25|Blog >> > > >>>> Post: Superset: Airbnb’s Data Exploration Platform]] >> > > >>>> * [[ >> > > >>>> https://medium.com/airbnb-engineering/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.beauche...@airbnb.com> - PPMC & >> > Committer >> > > >>>> * Alanna Scott <alanna.sc...@airbnb.com> - PPMC & Committer >> > > >>>> * Bogdan Kyryliuk <b.kyryl...@gmail.com> - PPMC & Committer >> > > >>>> * Vera Liu <vera....@airbnb.com> - Committer >> > > >>>> * Jeff Feng <jeff.f...@airbnb.com> - PPMC & Committer >> > > >>>> * Ashutosh Chauhan <hashut...@apache.org> - Mentor & >> Committer >> > > >>>> * Nishant Bangarwa <nbanga...@hortonworks.com> - PPMC & >> > Committer >> > > >>>> * Slim Bouguerra <sbougue...@hortonworks.com> - Committer >> > > >>>> * Priyank Shah <ps...@hortonworks.com> - Committer >> > > >>>> * Harsha Chintalapani <schintalap...@hortonworks.com> - >> > Committer >> > > >>>> * Daniel Dai <da...@apache.org> - Champion & Committer >> > > >>>> * Luke Han <luke....@apache.org> - Mentor >> > > >>>> >> > > >>>> == Affiliations == >> > > >>>> The initial committers are employees of Airbnb Inc. and >> > Hortonworks. >> > > >>>> >> > > >>>> == Sponsors == >> > > >>>> >> > > >>>> === Champion === >> > > >>>> Daniel Dai <da...@apache.org> >> > > >>>> >> > > >>>> === Nominated Mentors === >> > > >>>> * Ashutosh Chauhan <hashut...@apache.org> >> > > >>>> * Luke Han <luke....@apache.org> >> > > >>>> >> > > >>>> === Sponsoring Entity === >> > > >>>> Incubator PMC >> > > >>>> >> > > >>> >> > > >>> >> > > >> >> > > >> > > >> > > ------------------------------------------------------------ >> > --------- >> > > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >> > > For additional commands, e-mail: general-h...@incubator.apache.org >> > > >> > > >> > > >> > > >> > >> > --------------------------------------------------------------------- >> > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >> > For additional commands, e-mail: general-h...@incubator.apache.org >> > >> > >>
-- Best Regards, Edward J. Yoon --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
