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From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: [PROPOSAL] Kylin for Incubation
Date Thu, 20 Nov 2014 08:45:41 GMT
Sounds good.

I have started the discussion to get Jacques on IPMC.



On Thu, Nov 20, 2014 at 9:27 AM, Luke Han <luke.hq@gmail.com> wrote:

> Hi all,
>       Thank you for reviewing the proposal, with the discussion winding
> down we would like to send VOTE email next.
>
> Thanks
> Luke
>
>
> 2014-11-15 11:40 GMT+08:00 Ted Dunning <ted.dunning@gmail.com>:
>
> >
> > Also, a Chinese localized operating system is pretty clearly different
> > from an olap engine.
> >
> > For comparison see the recent non-issue regarding Amazon aurora versus
> > apache aurora.
> >
> > Sent from my iPhone
> >
> > > On Nov 14, 2014, at 9:55, Henry Saputra <henry.saputra@gmail.com>
> wrote:
> > >
> > > Thanks for the reminder Ross.
> > > Hopefully we could go in the similar route as Apache Spark, Apache
> > > Storm, and Apache MetaModel where the trademark should be used as
> > > 'Apache Kylin'.
> > >
> > >
> > > - Henry
> > >
> > > On Fri, Nov 14, 2014 at 7:47 AM, Ross Gardler (MS OPEN TECH)
> > > <Ross.Gardler@microsoft.com> wrote:
> > >> Potential trademark clash: http://www.ubuntu.com/desktop/ubuntu-kylin
> > >>
> > >> Sent from my Windows Phone
> > >> ________________________________
> > >> From: Luke Han<mailto:luke.hq@gmail.com>
> > >> Sent: ‎11/‎14/‎2014 7:38 AM
> > >> To: general@incubator.apache.org<mailto:general@incubator.apache.org>
> > >> Subject: [PROPOSAL] Kylin for Incubation
> > >>
> > >> Hi all,
> > >> We would like to propose Kylin as an Apache Incubator project. The
> > >> complete proposal can be found:
> > >> https://wiki.apache.org/incubator/KylinProposal and posted the text
> of
> > >> the proposal below.
> > >>
> > >> Thanks.
> > >> Luke
> > >>
> > >>
> > >> Kylin Proposal
> > >> ==============
> > >>
> > >> # Abstract
> > >>
> > >> Kylin is a distributed and scalable OLAP engine built on Hadoop to
> > >> support extremely large datasets.
> > >>
> > >> # Proposal
> > >>
> > >> Kylin is an open source Distributed Analytics Engine that provides
> > >> multi-dimensional analysis (MOLAP) on Hadoop. Kylin is designed to
> > >> accelerate analytics on Hadoop by allowing the use of SQL-compatible
> > >> tools. Kylin provides a SQL interface and multi-dimensional analysis
> > >> (MOLAP) on Hadoop to support extremely large datasets and tightly
> > >> integrate with Hadoop ecosystem.
> > >>
> > >> ## Overview of Kylin
> > >>
> > >> Kylin platform has two parts of data processing and interactive:
> > >> First, Kylin will read data from source, Hive, and run a set of tasks
> > >> including Map Reduce job, shell script to pre-calcuate results for a
> > >> specified data model, then save the resulting OLAP cube into storage
> > >> such as HBase. Once these OLAP cubes are ready, a user can submit a
> > >> request from any SQL-based tool or third party applications to Kylin’s
> > >> REST server. The Server calls the Query Engine to determine if the
> > >> target dataset already exists. If so, the engine directly accesses the
> > >> target data in the form of a predefined cube, and returns the result
> > >> with sub-second latency. Otherwise, the engine is designed to route
> > >> non-matching queries to whichever SQL on Hadoop tool is already
> > >> available on a Hadoop cluster, such as Hive.
> > >>
> > >> Kylin platform includes:
> > >>
> > >> - Metadata Manager: Kylin is a metadata-driven application. The Kylin
> > >> Metadata Manager is the key component that manages all metadata stored
> > >> in Kylin including all cube metadata. All other components rely on the
> > >> Metadata Manager.
> > >>
> > >> - Job Engine: This engine is designed to handle all of the offline
> > >> jobs including shell script, Java API, and Map Reduce jobs. The Job
> > >> Engine manages and coordinates all of the jobs in Kylin to make sure
> > >> each job executes and handles failures.
> > >>
> > >> - Storage Engine: This engine manages the underlying storage –
> > >> specifically, the cuboids, which are stored as key-value pairs. The
> > >> Storage Engine uses HBase – the best solution from the Hadoop
> > >> ecosystem for leveraging an existing K-V system. Kylin can also be
> > >> extended to support other K-V systems, such as Redis.
> > >>
> > >> - Query Engine: Once the cube is ready, the Query Engine can receive
> > >> and parse user queries. It then interacts with other components to
> > >> return the results to the user.
> > >>
> > >> - REST Server: The REST Server is an entry point for applications to
> > >> develop against Kylin. Applications can submit queries, get results,
> > >> trigger cube build jobs, get metadata, get user privileges, and so on.
> > >>
> > >> - ODBC Driver: To support third-party tools and applications – such as
> > >> Tableau – we have built and open-sourced an ODBC Driver. The goal is
> > >> to make it easy for users to onboard.
> > >>
> > >> # Background
> > >>
> > >> The challenge we face at eBay is that our data volume is becoming
> > >> bigger and bigger while our user base is becoming more diverse. For
> > >> e.g. our business users and analysts consistently ask for minimal
> > >> latency when visualizing data on Tableau and Excel. So, we worked
> > >> closely with our internal analyst community and outlined the product
> > >> requirements for Kylin:
> > >>
> > >> - Sub-second query latency on billions of rows
> > >> - ANSI SQL availability for those using SQL-compatible tools
> > >> - Full OLAP capability to offer advanced functionality
> > >> - Support for high cardinality and very large dimensions
> > >> - High concurrency for thousands of users
> > >> - Distributed and scale-out architecture for analysis in the TB to PB
> > size range
> > >>
> > >> Existing SQL-on-Hadoop solutions commonly need to perform partial or
> > >> full table or file scans to compute the results of queries. The cost
> > >> of these large data scans can make many queries very slow (more than a
> > >> minute). The core idea of MOLAP (multi-dimensional OLAP) is to
> > >> pre-compute data along dimensions of interest and store resulting
> > >> aggregates as a "cube". MOLAP is much faster but is inflexible. We
> > >> realized that no existing product met our exact requirements
> > >> externally – especially in the open source Hadoop community. To meet
> > >> our emerging business needs, we built a platform from scratch to
> > >> support MOLAP for these business requirements and then to support more
> > >> others include ROLAP. With an excellent development team and several
> > >> pilot customers, we have been able to bring the Kylin platform into
> > >> production as well as open source it.
> > >>
> > >> # Rationale
> > >>
> > >> When data grows to petabyte scale, the process of pre-calculation of a
> > >> query takes a long time and costly and powerful hardware. However,
> > >> with the benefit of Hadoop’s distributed computing architecture, jobs
> > >> can leverage hundreds or thousands of Hadoop data nodes. There still
> > >> exists a big gap between the growing volume of data and interactive
> > >> analytics:
> > >>
> > >> - Existing Business Intelligence (OLAP) platforms cannot scale out to
> > >> support fast growing data.
> > >> - Existing SQL on Hadoop projects are not designed for OLAP use cases,
> > >> huge tables joins will always take long time to scan and calculate.
> > >> - No mature OLAP solution exists on Hadoop
> > >>
> > >> As mentioned in the background, the business requirements triggered by
> > >> increase in data volume drove eBay to invest in building a solution
> > >> from scratch to offer Analytics capability on Hadoop cluster. With
> > >> Hadoop’s power of distributed computing Kylin can perform
> > >> pre-calculations in parallel and merge the final results, thereby
> > >> significantly reducing the processing time.
> > >>
> > >> To serve queries by the analyst community, Kylin generates cuboids
> > >> with all possible combinations of dimensions, and calculate all
> > >> metrics at different levels. The cuboids are then integrated to form a
> > >> pre-calculated OLAP cube. All cuboids are key-value structured: keys
> > >> are composites formed from combinations of multiple dimensions and
> > >> values are aggregations results for that particular combination of
> > >> dimensions. Kylin uses HBase to store cubes. HBase is useful because
> > >> it supports efficient searches across ranges of data.
> > >>
> > >> # Current Status
> > >>
> > >> ## Meritocracy
> > >>
> > >> Kylin has been deployed in production at eBay and is processing
> > >> extremely large datasets. The platform has demonstrated great
> > >> performance benefits and has proved to be a better way for analysts to
> > >> leverage data on Hadoop with a more convenient approach using their
> > >> favorite tool.
> > >>
> > >> ## Community
> > >>
> > >> Kylin seeks to develop developer and user communities during
> incubation.
> > >>
> > >> ## Core Developers
> > >>
> > >> Kylin is currently being designed and developed by six engineers from
> > >> eBay Inc. – Jiang Xu, Luke Han, Yang Li, George Song, Hongbin Ma and
> > >> Xiaodong Duo. In addition, some outside contributors are actively
> > >> contributing in design and development. Among them, Julian Hyde from
> > >> Hortonworks is a very important contributor. All of these core
> > >> developers have deep expertise in Hadoop and the Hadoop Ecosystem in
> > >> general.
> > >>
> > >> ## Alignment
> > >>
> > >> The ASF is a natural host for Kylin given that it is already the home
> > >> of Hadoop, Pig, Hive, and other emerging cloud software projects.
> > >> Kylin was designed to offer OLAP capability on Hadoop from the
> > >> beginning in order to solve data access and analysis challenges in
> > >> Hadoop clusters. Kylin complements the existing Hadoop analytics area
> > >> by providing a comprehensive solution based on pre-computed views.
> > >>
> > >> In Kylin, we are leveraging an open-source dynamic data management
> > >> framework called Apache Calcite to parse SQL and plug in our code.
> > >> Apache Calcite was previously called Optiq, was originally authored by
> > >> Julian Hyde and is now an Apache Incubator project.
> > >>
> > >> # Known Risks
> > >>
> > >> ## Orphaned Products
> > >>
> > >> The core developers of Kylin team plan to work full time on this
> > >> project. There is very little risk of Kylin getting orphaned since at
> > >> least one large company (eBay) is extensively using it in their
> > >> production Hadoop clusters. For example, currently there are 3 use
> > >> cases with more that 12+Billion rows and 1000 activity requests per
> > >> day using Kylin in production. Furthermore, since Kylin was open
> > >> sourced at the beginning of October 2014, it has received more than
> > >> 280 stars and been forked nearly 100 times. Kylin has one major
> > >> release so far and and received 5 pull requests from contributors in
> > >> the first month pull requests from external sources in the last month,
> > >> which further demonstrates Kylin as a very active project. We plan to
> > >> extend and diversify this community further through Apache.
> > >>
> > >> ## Inexperience with Open Source
> > >>
> > >> The core developers are all active users and followers of open source.
> > >> They are already committers and contributors to the Kylin Github
> > >> project. All have been involved with the source code that has been
> > >> released under an open source license, and several of them also have
> > >> experience developing code in an open source environment. Though the
> > >> core set of Developers do not have Apache Open Source experience,
> > >> there are plans to onboard individuals with Apache open source
> > >> experience on to the project.
> > >>
> > >> ## Homogenous Developers
> > >>
> > >> The core developers include developers from eBay, Ctrip and
> > >> Hortonworks. Apache Incubation process encourages an open and diverse
> > >> meritocratic community. Apache Kylin has the required amount of
> > >> diversity with committers from three different organizations, but is
> > >> also aware that bulk of the commits come from a single entity. Kylin
> > >> intends to make every possible effort to build a diverse, vibrant and
> > >> involved community and has already received substantial interest from
> > >> various organizations
> > >>
> > >> ## Reliance on Salaried Developers
> > >>
> > >> eBay invested in Kylin as the OLAP solution on top of Hadoop clusters
> > >> and some of its key engineers are working full time on the project. In
> > >> addition, since there is a growing Big Data need for scalable OLAP
> > >> solutions on Hadoop, we look forward to other Apache developers and
> > >> researchers to contribute to the project. Additional contributors,
> > >> including Apache committers have plans to join this effort shortly.
> > >> Also key to addressing the risk associated with relying on Salaried
> > >> developers from a single entity is to increase the diversity of the
> > >> contributors and actively lobby for Domain experts in the BI space to
> > >> contribute. Apache Kylin intends to do this. One approach already
> > >> taken is to approach the Apache Drill project to explore possible
> > >> cooperation.
> > >>
> > >> ## Relationships with Other Apache Products
> > >>
> > >> Kylin has a strong relationship and dependency with Apache Hadoop
> > >> HBase, Hive and Calcite. Being part of Apache’s Incubation community,
> > >> could help with a closer collaboration among these four projects and
> > >> as well as others.
> > >>
> > >> Kylin is likely to have substantial value to Apache Drill due to the
> > >> common use of Calcite as a query optimization engine and similar
> > >> approaches between Kylin's approach to cubing and Drill's approach to
> > >> input sources.
> > >>
> > >> ## An Excessive Fascination with the Apache Brand
> > >>
> > >> Kylin is proposing to enter incubation at Apache in order to help
> > >> efforts to diversify the committer-base, not so much to capitalize on
> > >> the Apache brand. The Kylin project is in production use already
> > >> inside EBay, but is not expected to be an EBay product for external
> > >> customers. As such, the Kylin project is not seeking to use the Apache
> > >> brand as a marketing tool.
> > >>
> > >> # Documentation
> > >>
> > >> Information about Kylin can be found at
> > >> https://github.com/KylinOLAP/Kylin. The following links provide more
> > >> information about Kylin in open source:
> > >>
> > >> - Kylin web site: http://kylin.io
> > >> - Codebase at Github: https://github.com/KylinOLAP/Kylin
> > >> - Issue Tracking: https://github.com/KylinOLAP/Kylin/issues
> > >> - User community: https://groups.google.com/forum/#!forum/kylin-olap
> > >>
> > >> ## Initial Source
> > >>
> > >> Kylin has been under development since 2013 by a team of engineers at
> > >> eBay Inc. It is currently hosted on Github.com under an Apache license
> > >> at https://github.com/KylinOLAP/Kylin
> > >>
> > >> ## External Dependencies
> > >>
> > >> Kylin has the following external dependencies.
> > >>
> > >> * Basic
> > >>
> > >> - JDK 1.6+
> > >> - Apache Maven
> > >> - JUnit
> > >> - DBUnit
> > >> - Log4j
> > >> - Slf4j
> > >> - Apache Commons
> > >> - Google Guava
> > >> - Jackson
> > >>
> > >> * Hadoop
> > >>
> > >> - Apache Hadoop
> > >> - Apache HBase
> > >> - Apache Hive
> > >> - Apache Zookeeper
> > >> - Apache Curator
> > >>
> > >> * Utility
> > >>
> > >> - H2
> > >> - JSCH
> > >>
> > >> * REST Service
> > >>
> > >> - Spring
> > >>
> > >> * Query
> > >>
> > >> - Antlr
> > >> - Apache Calcite (formerly Optiq)
> > >> - Linq4j
> > >>
> > >> * Job
> > >>
> > >> - Quartz
> > >>
> > >> * Web build tool
> > >>
> > >> - NPM
> > >> - Grunt
> > >> - bower
> > >>
> > >> * Web
> > >>
> > >> - Angular JS
> > >> - jQuery
> > >> - Bootstrap
> > >> - D3 JS
> > >> - ACE
> > >>
> > >> ##Cryptography
> > >>
> > >> Kylin will eventually support encryption on the wire. This is not one
> > >> of the initial goals, and we do not expect Kylin to be a controlled
> > >> export item due to the use of encryption. Kylin supports but does not
> > >> require the Kerberos authentication mechanism to access secured Hadoop
> > >> services.
> > >>
> > >> # Required Resources
> > >>
> > >> ## Mailing List
> > >>
> > >> - kylin-private for private PMC discussions (with moderated
> > subscriptions)
> > >> - kylin-dev
> > >> - kylin-commits
> > >>
> > >> ##Subversion Directory
> > >>
> > >> Git is the preferred source control system: git://
> git.apache.org/Kylin
> > >>
> > >> ## Issue Tracking
> > >>
> > >> JIRA Kylin (KYLIN)
> > >>
> > >> ## Other Resources
> > >>
> > >> The existing code already has unit tests so we will make use of
> > >> existing Apache continuous testing infrastructure. The resulting load
> > >> should not be very large.
> > >>
> > >> # Initial Committers
> > >>
> > >> - Jiang Xu < jiangxu.china at gmail dot com>
> > >> - Luke Han <lukhan at ebay dot com>
> > >> - Yang Li <yangli9 at ebay dot com>
> > >> - George Song <ysong1 at ebay dot com>
> > >> - Hongbin Ma <honma at ebay dot com>
> > >> - Xiaodong Duo < oranjedog at gmail dot com>
> > >> - Julian Hyde < jhyde at apache dot org >
> > >> - Ankur Bansal < abansal at ebay dot com>
> > >>
> > >> ## Affiliations
> > >>
> > >> The initial committers are employees of eBay Inc., Ctrip and
> > >> Hortonworks. The nominated mentors are employees of Hortonworks, MapR
> > >> Technologies and Pivotal.
> > >>
> > >> # Sponsors
> > >>
> > >> ## Champion
> > >>
> > >> - Owen O’Malley < omalley at apache dot org >
> > >> - Ted Dunning <tdunning at apache dot org>
> > >>
> > >> ## Nominated Mentors
> > >>
> > >> - Owen O’Malley < omalley at apache dot org > - Apache IPMC member,
> > >> Co-founder and Senior Architect, Hortonworks
> > >> - Ted Dunning < tdunning at apache dot org> - Apache IPMC member,
> > >> Chief Architect, MapR Technologies
> > >> - Henry Saputra <hsaputra at apache dot org> - Apache IPMC member,
> > Pivotal
> > >> - Jacques Nadeau <jacques at apache dot org> (pending admission to
> > >> IPMC) - Apache Drill PMC Chair, MapR Technologies
> > >>
> > >> #Sponsoring Entity
> > >>
> > >> We are requesting the Incubator to sponsor this project.
> > >
> > > ---------------------------------------------------------------------
> > > 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!
> ---------------------
>
> Luke Han
>

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