+1 (non-binding) Pavel
2015-10-09 17:55 GMT+02:00 Atri Sharma <a...@apache.org>: > 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 >
