+1 (non-binding)
Best Regards! --------------------- Luke Han On Mon, Oct 12, 2015 at 4:33 AM, Alan D. Cabrera <l...@toolazydogs.com> wrote: > +1 - binding > > > Regards, > Alan > > > On Oct 9, 2015, at 8:55 AM, Atri Sharma <a...@apache.org> wrote: > > > > Hi all, > > > > Following the discussion about Concerted I would like to call a vote for > > accepting Concerted as a new incubator project. > > > > The proposal text is included below, and available on the wiki: > > > > https://wiki.apache.org/incubator/ConcertedProposal > > > > The vote is open for 72 hours: > > > > [ ] +1 accept Concerted in the Incubator > > [ ] ±0 > > [ ] -1 (please give reason) > > > > Regards, > > > > Atri > > > > = Abstract = > > > > Concerted is an in memory write less read more engine aimed to provide > > extreme read performance with very high degree of concurrency and > > scalability and focus on minimizing own resource footprint. > > > > = Proposal = > > Concerted is built on the principal that a new type of workload is > > dominating the scene and is now needed to be supported. These are the > large > > data set analytical workloads being analyzed or used on large clusters or > > high power machines. Large analytical workloads depend on the ability to > > query large data sets efficiently and in high concurrency while > maintaining > > semantics such as immediate consistency. An in memory engine designed to > > support extreme read queries while providing support for aggregation > > through various features (such as multidimensional representation of > > tuples) will accelerate many usecases around large scale analytics. > > > > Concerted believes that best understanding of user application lies with > > user application developer. The need for massive read scaling should be > on > > demand and should be flexible to the level that user can decide as to > which > > representation and access of data suits his/her current requirements. > > Hence, Concerted is not built in a traditional client/server model. > > Concerted provides users with an API which can be used to load, read, > > update and delete data. User chooses which data structure has to be used > > for his current requirements. All API access is covered by Concerted's > > internal systems like lock manager, transaction manager and cache manager > > which ensure that reads scale to high level in every API call. > > > > Concerted is a Do It Yourself in memory platform for making in memory > > supporting engines. The use case we think of is supporting big data > > warehouses like Hive, but there are endless use cases for a custom, > highly > > scalable in memory platform. > > > > The goal of this proposal is to leverage an existing code base available > on > > Github and licensed under the Apache License 2.0 to build a community > > around the project. Currently the community consists of existing hackers > of > > Concerted as well as people who have been following and associated with > the > > project since a while as well as database experts who are excited about > > building a project like this. We are hoping that entering into Apache > would > > help us attract more contributors as well as connect with existing big > data > > projects like Apache Hive, Apache HAWQ, Apache Storm, Apache Tajo, Apache > > Spark, Apache Geode to leverage their community base while assisting in > > their use cases with Concerted. We had a discussion with founders of > Apache > > Tajo and they showed interest in using Concerted for some of their use > > cases. > > = Background = > > Relational databases were built with the cost of physical memory in mind. > > The cost is no longer very relevant and physical memory is now available > on > > demand. Another driving factor behind Concerted is that there is a > paradigm > > shift with big data coming into picture. Disk IO speeds are more of a > > bottleneck than ever before. Combining the read dominance of analytical > > workload with the speed of in memory structures, Concerted fits the > current > > scene. Also, supporting OLAP workloads with in memory support for faster > > read constant queries and joins will be useful. > > > > = Rationale = > > As explained above, large analytical workloads need an in memory > > lightweight engine which supports massive read concurrency, ground level > > support for aggregations and analytics, extreme scalability and high read > > performance, along with the engine being very light itself. Concerted > aims > > to solve these needs. Concerted is designed and built with three goals as > > objectives: > > > > > > Performance > > To provide high performance access to data from a large number of > rows, > > Concerted uses efficient representation and in memory indexing of data > > coupled with high performance transactions, custom transactions and > > lightweight locking and lockless techniques and an intelligent locking > > manager. > > > > Scalability > > Concerted is built with extreme concurrency and scalability in mind. > > > > Efficiency > > Concerted aims to give expected performance under vast variety of > > workloads and aims to have as low footprint as possible. > > > > = Initial Goals = > > The initial goal is to leverage an existing code base and invest in > > building a community around the project. We anticipate a lot of initial > > restructuring of the existing code so that it becomes easier to include > new > > contributors and minimize ramp up time. We plan to approach this > > refactoring in a fully transparent, community-driven way thus starting to > > practice the "Apache Way" governance model from the get go. > > > > Various contributors are getting individual changes into branches in > github > > repository and our initial major goal will be to merge in all those > changes > > in master repository. > > > > = Current Status = > > Concerted is currently under restructuring to suit the needs of an open > > source project. Current source is available at > > https://github.com/atris/Concerted (Please note that updated codebase is > > not yet present on github) Concerted is currently being licensed under > > Apache License 2.0. Most of the code base is implemented in C and C++ and > > has external dependencies listed later. > > > > == Meritocracy == > > > > We plan to drive the technical roadmap and implementation in a fully > > transparent, community-driven way soliciting feedback from all of the > > community members and building a consensus-driven approach to evolving > the > > code base and the community itself. Users and new contributors will be > > treated with respect and welcomed. By participating in the community and > > providing quality patches/support that move the project forward, > > contributors will earn merit. They also will be encouraged to provide > > non-code contributions (documentation, events, community management, > etc.) > > and will gain merit for doing so. Those with a proven support and quality > > track record will be encouraged to become committers. > > > > == Community == > > In memory is the new cutting edge thing and a new community around > > performance oriented systems and enhancing relational database > performance > > by having complete in memory OLTP engines will greatly benefit > performance. > > So we expect data warehousing projects and communities as well as > projects > > and companies looking for high performance OLTP performance. In addition, > > Ingenium Data Systems is building products around Concerted and will have > > salaried developers contribute to the project as part of job > responsibility. > > > > == Core Developers == > > Core developers are a diverse group of developers, many of which are very > > experienced in open source and the Apache Hadoop ecosystem. Specifically, > > Atri is an Apache Apex committer and Atri and Pavel are major > contributors > > to PostgreSQL project.Atri is also committer for other open source > projects. > > > > * Amrish <amrishs AT ingeniumsys DOT com> > > * Nupur S <nupurs AT ingeniumsys DOT com> > > * Pavel Stehule <pavel DOT stehule AT gmail.com> > > * Atri Sharma <atri AT apache DOT org> > > * Nishith Singhal <nishsinghal AT gmail DOT com> > > * Michael Down <michael AT dowuk DOT com> > > * Vijayakumar Ramdoss <vijayakumar DOT ramdoss AT emc DOT com> > > * Wang Albert <albertwang87 AT gmail DOT com> > > * Hans-Jurgen Schonig <postgres AT cybertec DOT at> > > * Kris Popat <krispopat AT apache DOT org> > > * Ayrton Gomesz <com DOT ayrton AT gmail DOT com> > > > > == Alignment == > > Concerted will be helpful to systems like Tajo which can benefit with in > > memory structures optimized for heavy reads and joins (dimension tables). > > In addition Concerted will benefit projects looking for in memory > > relational database as a metadata store, which is the case for most of > the > > Apache Big Data projects. We expect Apache HAWQ (incubating), Apache > Hive, > > Apache Storm, Apache Tajo to be utilizing Concerted as a supporting > engine. > > For eg, a data warehouse built on HAWQ, Hive or Tajo can utilize > Concerted > > as an in memory engine for querying and joining dimensional tables. > > > > = Known Risks = > > > > == Orphaned Products == > > Most of the code is developed by a small group of core developers and > this > > may be a risk for orphaned product. However, the code base is simple as > > compared to other open source projects and the interest level in > Concerted > > has risen exponentially over the years with many computer professionals > > expressing interest in the project and doing some use cases of the > > same.Specifically, there were some projects done around Concerted in > JIIT, > > Noida (an engineering school) and Wang is a student in Lehigh University > > who has been following Concerted's progress over many years. The core > > developers are aligned with this project and since the code base is > simple, > > future committers will have a quick ramp up and the risk shall be > > mitigated. Besides, Ingenium Data Systems is launching a product based on > > Concerted and will be having all its salaried developers contribute to > > Concerted as a part of their job functions. > > > > == Inexperience with Open Source == > > Most of the initial committers have experience working on open source > > projects. In particular, Atri is an active member of many open source > > projects. > > > > == Homogeneous Developers == > > Although initial core developers were based out of India, community now > > consists of computer professionals from various parts of the world hence > > diversity should not be an issue. In addition, we will be documenting > > internals of the project in public facing documents and it shall allow > more > > contributors to join in. > > > > == Reliance on Salaried Developers == > > It is expected that Concerted development will occur on both salaried > time > > and on volunteer time. Nupur and Amrish belong to Ingenium and are > > committed to building this project along with their team. Atri, as the > > originator of this project, will be actively working on the project and > is > > now pushing Concerted into major data warehousing projects, since he is > > involved in architecture of data platforms. Developers are expected to be > > contributing in their volunteer time. In addition, we will be working > with > > various open source projects which will be benefited by Concerted and > will > > be involving those communities into Concerted's development as well. For > > eg, Apache Tajo has shown interest and will be supporting development of > > the project. > > > > == Relationships with Other Apache Products == > > Concerted has some overlapping function with Apache Geode(Incubating). > > However, Geode is an in memory key value store whereas Concerted is a > write > > less read many engine. Concerted will complement Geode and increase the > use > > cases Geode can support with Concerted's help. > > > > A major objective for Concerted is supporting OLAP workloads and data > > warehouses with in memory performance and highly performant reads and > > joins. Concerted will be collaborating with many open source projects > such > > as Apache HAWQ (incubating), Apache Hive, Apache Tajo etc to support > their > > OLAP workloads hence enabling them to support larger set of usecases > with a > > better throughput. For eg, a star schema in Hive will benefit from having > > dimension tables in Concerted with highly efficient and scalable reads > and > > joins will be very fast. Similar workload for Tajo. > > > > Concerted will fit in many other use cases in Apache spectrum as well. > For > > eg, Concerted can be used with Apache Geode for in memory aggregation > > indexing. Concerted can also be used with Apache Flink for streaming real > > time data into in memory, perform in memory aggregation and then > performing > > batch processing for efficiency. > > > > > > == A Excessive Fascination with the Apache Brand == > > We believe that the "Apache Way" governance model will provide additional > > help to us in finding contributors and growing the community. The > community > > and development process will make this project more stable and help > > establish ubiquitous APIs. In addition, Concerted is looking to support > > multiple Apache projects in their use cases and accelerate their > > performance while soliciting their support in development of the project. > > We will not be using Apache brand for excessive branding or with any > > commercial aspects of Concerted. Apache brand will primarily be used for > > community building. > > > > = Documentation = > > Public documents are currently in development and will be published soon. > > > > = Initial Source = > > The initial source is written in C++ and is heavily in development. It > will > > be restructured and released publicly. > > We understand that there might be concerns around github source being > > developed by only a single person and development not happening after > 2013. > > The source on github is only the source initially developed as an > > independent project hence the limitation. However, due to reason that > > project has been present on github for a while now, it has attracted > > attention and people have been using and developing it locally. For eg, > > Ingenium Data System took an interest in the project and locally > developed > > it and used it in an upcoming product they are going to release soon. The > > project now wants to accumulate all independent development efforts and > > help attract people to grow the community and project. We are currently > in > > process of updating github repository and making branches for all local > > development efforts. > > > > = Source and Intellectual Property Submission Plan = > > > > We intend the entire code base to be licensed under the Apache License, > > Version 2.0. > > > > = External Dependencies = > > Currently, Concerted only depends on g++ compiler and pthreads. pthreads > > will be replaced by Boost in next release. > > > > = Cryptography = > > > > N/A > > > > = Required Resources = > > == Mailling List == > > *priv...@concerted.incubator.apache.org (moderated subscriptions) > > *comm...@concerted.incubator.apache.org > > *d...@concerted.incubator.apache.org > > *iss...@concerted.incubator.apache.org > > > > == Git Repository == > > > > https://git-wip-us.apache.org/repos/asf/incubator-concerted.git > > > > == Issue Tracking == > > Jira Concerted (CONCERTED) > > > > == Other Resources == > > * Continuous Integration > > * Jenkins > > * Wiki > > * cwiki.apache.org/confluence/display/CONCERTED > > > > = Initial Committers = > > * Roman Shaposhnik <rvs AT apache DOT org> > > * Daniel Dai <daijy AT apache DOT org> > > * Jake Farrell <jfarrell AT apache DOT org> > > * Lars Hofhansl <larsh AT apache DOT org> > > * Julian Hyde <jhyde AT apache DOT org> > > * Chris Nauroth <cnauroth AT hortonworks DOT com> > > * Pavel Stehule <pavel DOT stehule AT gmail.com> > > * Amrish <amrishs AT ingeniumsys DOT com> > > * Nupur S <nupurs AT ingeniumsys DOT com> > > * Atri Sharma <atri AT apache DOT org> > > * Nishith Singhal <nishsinghal AT gmail DOT com> > > * Michael Down <michael AT dowuk DOT com> > > * Vijayakumar Ramdoss <vijayakumar DOT ramdoss AT emc DOT com> > > * Wang Albert <albertwang87 AT gmail DOT com> > > * Hans-Jurgen Schonig <postgres AT cybertec DOT at> > > * Kris Popat <krispopat AT apache DOT org> > > * Ayrton Gomesz <com DOT ayrton AT gmail DOT com> > > > > = Affiliations = > > * Roman Shaposhnik (Pivotal) > > * Daniel Dai (HortonWorks) > > * Jake Farrell (Acquia) > > * Lars Hofhansl (Salesforce) > > * Julian Hyde (HortonWorks) > > * Chris Nauroth (HortonWorks) > > * Pavel Stehule (GoodData) > > * Amrish (Ingenium Data Systems) > > * Nupur S (Ingenium Data Systems) > > * Atri Sharma (Barclays) > > * Nishith Singhal (Wipro) > > * Michael Down (Barclays) > > * Vijayakumar Ramdoss (EMC) > > * Wang Albert (Lehigh University) > > * Hans- Jurgen Schonig (CyberTec) > > * Kris Popat (CETIS LLP) > > * Ayrton Gomesz (IQLabs) > > > > The nominated mentors are employees of HortonWorks, Acquia, and > Salesforce. > > > > * Daniel Dai (HortonWorks) > > * Jake Farrell (Acquia) > > * Lars Hofhansl (Salesforce) > > * Julian Hyde (HortonWorks) > > * Chris Nauroth (HortonWorks) > > > > = Sponsors = > > > > == Champion == > > > > * Roman Shaposhnik (rvs AT apache DOT org) > > > > == Nominated Mentors == > > > > * Daniel Dai <daijy AT apache DOT org> > > * Jake Farrell <jfarrell AT apache DOT org> > > * Lars Hofhansl <larsh AT apache DOT org> > > * Julian Hyde <jhyde AT apache DOT org> > > * Chris Nauroth <cnauroth AT hortonworks DOT com> > > > > == Sponsoring Entity == > > Apache Incubator > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > For additional commands, e-mail: general-h...@incubator.apache.org > >
