Thanks Gavin. Please let me suggest that novelty is not a requirement for incubation, and a proposal doesn't need to make claims of novelty to be accepted.
Should the proposal be accepted for incubation, you may find your new neighbors at Apache can do X where you weren't aware of it. It will be totally up to the new podling if you want to survey the landscape when figuring out how to differentiate, but I do recommend it, it may help you crystallize a community around a real difference and advantage provided by Pistachio. On Mon, Jun 22, 2015 at 7:54 PM, Gavin Li <lyo.ga...@gmail.com> wrote: > Hi Andrew, > > As we described more in > > http://yahooeng.tumblr.com/post/116291838351/pistachio-co-locate-the-data-and-compute-for > , > a very common problem we saw in Hadoop use cases is we often need to > persist the previous result of one map reduce job onto HDFS, then the next > day we process the new data together with the previous result. Usually the > most expensive part is the shuffling part where we need to join the > previous data and the new data together. It's so expensive because HDFS > doesn't store the data in a partitioned way. So data have to be transferred > again and again in the shuffling phase. Instead, in Pistachio we do the > computation right on top of the partitioned storage layer, so that the > previous result is always stored in a partitioned way, so shuffling can be > avoided. Expensive IO and roundtrips can thus be avoided so that much > better performance can be achieved. > > The other difference is in Pistachio we can do computation based on > in-memory storage with data replication. Different from the in-memory > computation in Spark, the storage can be in-memory here. > > Please let me know if I'm not clear enough. > > Thanks, > Gavin Li > > On Mon, Jun 22, 2015 at 7:53 PM, Andrew Purtell <apurt...@apache.org> > wrote: > > > It was a simple question, and not meant to suggest anything one way or > > other regarding my opinion of this proposal. > > > > On Monday, June 22, 2015, John D. Ament <johndam...@apache.org> wrote: > > > > > On Mon, Jun 22, 2015 at 10:26 PM Andrew Purtell <apurt...@apache.org > > > <javascript:;>> wrote: > > > > > > > > Pistachio can easily embed computation to the storage layer to > > achieve > > > > the > > > > > best data locality to improve the computation performance > > significantly > > > > > which is an innovative model comparing with the normal ways where > the > > > > > storage and compute are independent to each other. > > > > > > > > Have you heard of something called Hadoop? > > > > > > > > > > Regardless of whether he has or not - what's your point? The ASF has > > > historically not denied the entry of new projects just because their > > domain > > > intersects with another project's. > > > > > > > > > > > > > > > > > > On Thu, Jun 18, 2015 at 10:17 AM, Gavin Li <lyo.ga...@gmail.com > > > <javascript:;>> wrote: > > > > > > > > > Hi, > > > > > > > > > > I want to propose project Pistachio to enter Apache Incubator. > > > > > > > > > > Below please find the proposal. > > > > > > > > > > Thanks, > > > > > Gavin Li > > > > > > > > > > > > > > > > > > > > = Pistachio = > > > > > > > > > > == Abstract == > > > > > > > > > > Pistachio is a fault-tolerant low latency distributed storage > system > > > > which > > > > > enables simple embedding the computation to the storage layer to > > > achieve > > > > > best data locality. It evolves from Yahoo’s global user profile > > storage > > > > > system. > > > > > > > > > > == Proposal == > > > > > > > > > > Pistachio is a distributed key value store system with fault > > tolerance > > > > and > > > > > consistency guarantee. It supports multiple local storage engine > > > > including > > > > > in-memory, kyoto cabinet, rocks DB etc. Pistachio is being used as > > the > > > > user > > > > > profile storage for massive scale global ads products in Yahoo > > storing > > > > 10+ > > > > > billion user profiles. The performance and reliability has been > well > > > > proven > > > > > on production. > > > > > > > > > > Pistachio can easily embed computation to the storage layer to > > achieve > > > > the > > > > > best data locality to improve the computation performance > > significantly > > > > > which is an innovative model comparing with the normal ways where > the > > > > > storage and compute are independent to each other. > > > > > > > > > > == Background == > > > > > > > > > > Pistachio is originally designed and optimized for Yahoo’s large > > scale > > > > > global open RTB(real-time bidding) use cases where latency is > > > > critical(the > > > > > whole request needs to be finished within 100ms including network > > round > > > > > trips). It stores 10+ billion user profiles in 8 data centers. > > > > > > > > > > Then because of the great performance and the flexibility of local > > > > storage > > > > > choices, we evolved it to do distributed compute. Rich call back > > > > interfaces > > > > > are added to supports easy compute directly on top of the storage > > > system > > > > > local to the data partition. This model is totally different from > the > > > > > traditional distributed computation model where the storage and > > compute > > > > are > > > > > separated and independent. In the new model we found data locality > > can > > > be > > > > > improved significantly and lots of data access round trips can be > > > reduced > > > > > in computation, and the performance can be improved significantly. > > > > > > > > > > It was publicly announced in April 2015 and currently being hosted > in > > > > > Github. > > > > > > > > > > == Rationale == > > > > > > > > > > As a key value store system Pistachio is unique in terms of low > > latency > > > > > access with fault tolerance and consistency guarantee. The > > reliability, > > > > > scalability, fault tolerance and performance has been well proven > in > > > > global > > > > > large scale revenue supporting production system in Yahoo. > > > > > > > > > > As a distributed computation system, it’s an innovative model where > > the > > > > > compute layer is introduced on top of the storage layer natively > and > > > > > naturally to optimize the data locality of computation. > > > > > > > > > > Operating the project in “apache way” greatly aligns with the > > long-term > > > > > vision of this project and can greatly help the development of the > > > > > community. > > > > > > > > > > == Current Status == > > > > > > > > > > Pistachio was open-sourced and announced in April 2015 and > currently > > > > being > > > > > hosted in Github, it was mainly being developed by the team from > > Yahoo > > > > and > > > > > already attracted lots of external developers (20+ watches and > forks > > on > > > > > github). > > > > > > > > > > == Meritocracy == > > > > > > > > > > We plan to build an environment following the Apache meritocracy > > > > > principles. Many companies including Linkedin, GF securities, > > Microsoft > > > > and > > > > > open source communities like deeplearning4j have already expressed > > > > > interests or accepted the invitations to participate in this > project. > > > > > > > > > > == Community == > > > > > > > > > > Since the announcement of Pistachio we received lots of interests. > > And > > > > the > > > > > concept of embedding computation to storage also got lots of > > > > recognitions. > > > > > We also started to work with other communities like deeplearning4j > to > > > > build > > > > > more application use cases with Pistachio. We believe the community > > > will > > > > > grow fast. > > > > > > > > > > == Core Developers == > > > > > > > > > > This project is created by Gavin Li. Core developers are currently > > > mainly > > > > > in Yahoo. > > > > > > > > > > == Alignment == > > > > > > > > > > Pistachio depends on many Apache projects and dependencies > including > > > > Kafka, > > > > > Helix, Zookeeper, Curator, Apache Commons, etc. > > > > > > > > > > == Known Risks == > > > > > > > > > > === Orphaned Products === > > > > > > > > > > The risk of Pistachio being orphaned is small because Yahoo heavily > > > > > invested in this system. It’s the internal storage standard for > > Yahoo’s > > > > > global ads products and still being expanded. Migration cost from > > this > > > > > project is very high. We are also working with external communities > > > like > > > > > deeplearning4j and other companies to expand the applications. > > > > > > > > > > === Inexperience with Open Source === > > > > > > > > > > Core developers are experienced open source contributors in many > > > projects > > > > > including Druid, Spark, Storm, etc. Pistachio committers will be > > guided > > > > by > > > > > the mentors with strong Apache open source project backgrounds. > > > > > > > > > > === Homogeneous Developers === > > > > > > > > > > The initial committers include developers from several institutions > > > > > including Microsoft, GF Securities, Linkedin and Yahoo. > > > > > > > > > > === Reliance on Salaried Developers === > > > > > > > > > > We work on Pistachio on both salaried time and after hours. Many > > > > developers > > > > > from other institutions already accepted the invitation to > volunteer > > > > > working on Pistachio. > > > > > > > > > > === Relationships with Other Apache Products === > > > > > > > > > > As mentioned earlier, Pistachio depends on apache kafka, helix, > > > > zookeeper, > > > > > curator, etc. > > > > > > > > > > === A Excessive Fascination with the Apache Brand === > > > > > > > > > > Generating publicity is not the purpose of this proposal. We mainly > > > want > > > > to > > > > > join the ASF in order to increase our contacts and visibility in > the > > > open > > > > > source world to attract great developers. > > > > > > > > > > == Document == > > > > > > > > > > Current documentation can be found here: > > > > > https://github.com/yahoo/Pistachio. > > > > > > > > > > == Initial source == > > > > > > > > > > Initial source can be found here in the Github repo: > > > > > https://github.com/yahoo/Pistachio. > > > > > > > > > > == External dependencies == > > > > > > > > > > To the best of our knowledge, here is the list of dependencies: > > > > > Rocks DB > > > > > ICU4j > > > > > Apache Curator > > > > > netty > > > > > google http client > > > > > codahale.metrics > > > > > apache helix > > > > > apache zookeeper > > > > > apache commons > > > > > apache thrift > > > > > apache kafka > > > > > kyoto cabinet (GNU GPL) > > > > > google protocol buffer > > > > > kryo > > > > > slf4j > > > > > > > > > > To the best of our knowledge, except kyoto cabinet others are all > > > > > distributed under Apache compatible licenses: > > > > > BSD > > > > > ICU > > > > > Apache License 2.0 > > > > > MIT > > > > > > > > > > Kytoto cabinet is under GNU GPL, but it is not a hard necessary > > > > dependency > > > > > to Pistachio, it’s an optional pluggable storage engine. It’s > > designed > > > in > > > > > the way that it’s totally plugable and very loosely coupled. We can > > > > easily > > > > > remove it in graduation. > > > > > > > > > > == Required Resources == > > > > > > > > > > Mailing Lists > > > > > > > > > > pistachio-user > > > > > pistachio-dev > > > > > pistachio-commits > > > > > pistachio-private (for private PMC discussions) > > > > > > > > > > Git > > > > > > > > > > The Pistachio team prefers Git for source version control: git:// > > > > > git.apache.org/pistachio > > > > > > > > > > Issue Tracking > > > > > > > > > > JIRA Pistachio (PISTACHIO) > > > > > > > > > > Other Resources > > > > > > > > > > Jenkins continuous integration testing > > > > > > > > > > == Initial Committers == > > > > > > > > > > Gavin Li <lyo.gavin at gmail dot com> > > > > > Lie Yang <lyang at yahoo-inc dot com> > > > > > Jay Kim <pitecus at yahoo-inc dot com> > > > > > Flavio Junqueira <fpj at apache dot org> > > > > > Chihong Liang<chihong.liang at gmail dot com> > > > > > Yong Liu<ly7110 at gmail dot com> > > > > > Shengwu Yang <yangshengwu at gmail dot com> > > > > > > > > > > == Affiliations == > > > > > > > > > > Gavin Li - Yahoo > > > > > Flavio Junqueira - Microsoft > > > > > Chihong Liang - GF securities > > > > > Yong Liu - Yingmi Asset Management Corp. > > > > > Lie Yang - Yahoo > > > > > Jay Kim - Yahoo > > > > > Shengwu Yang - Linkedin China > > > > > > > > > > == Sponsors == > > > > > > > > > > === Champion === > > > > > > > > > > Flavio Junqueira <fpj at apache dot org> > > > > > > > > > > === Nominated Mentors === > > > > > > > > > > === Sponsoring Entity === > > > > > > > > > > The Apache Incubator > > > > > > > > > > > > > > > > > > > > > -- > > > > Best regards, > > > > > > > > - Andy > > > > > > > > Problems worthy of attack prove their worth by hitting back. - Piet > > Hein > > > > (via Tom White) > > > > > > > > > > > > > -- > > Best regards, > > > > - Andy > > > > Problems worthy of attack prove their worth by hitting back. - Piet Hein > > (via Tom White) > > > -- Best regards, - Andy Problems worthy of attack prove their worth by hitting back. - Piet Hein (via Tom White)
