Hi Kishore well I think as you are an ASF member you can add yourself as a mentor :-)
On 14 February 2018 at 01:01, kishore g <g.kish...@gmail.com> wrote: > Kevin, > > Increasing the adoption of Pinot is one thing that can help build a good > diverse community. Few things that come to my mind > - Improve documentation > - Better integration with cloud providers > - Meetup and blog posts. > > We would also love to get additional mentors from ASF to help us build the > community around Pinot. > > > > > On Tue, Feb 13, 2018 at 4:29 PM, Timothy Chen <tnac...@gmail.com> wrote: > > > Love to see this in the incubator as well. +1 > > > > Tim > > > > On Tue, Feb 13, 2018 at 4:22 PM, Kevin A. McGrail > > <kevin.mcgr...@mcgrail.com> wrote: > > > Agreed. It could use more mentors from ASF which I'm too overloaded to > > help > > > with but I'd be inclined to +1 this. Do you have some thoughts on > > getting > > > more community people outside of LI and Uber to help? > > > > > > On 2/13/2018 7:07 PM, Dave Fisher wrote: > > >> > > >> Noir or Blanc? Gris or Grigio? What’s the vintage? > > >> > > >> All kidding aside this looks interesting. > > >> > > >> Regards, > > >> Dave > > >> > > >> Sent from my iPhone > > >> > > >>> On Feb 13, 2018, at 12:10 AM, kishore g <g.kish...@gmail.com> wrote: > > >>> > > >>> Hello, > > >>> > > >>> I would like to propose Pinot as an Apache Incubator project. The > > >>> proposal > > >>> is available as a draft at > > >>> https://wiki.apache.org/incubator/PinotProposal. I > > >>> have also included the text of the proposal below. > > >>> > > >>> Any feedback from the community is much appreciated. > > >>> > > >>> Regards, > > >>> Kishore G > > >>> > > >>> = Pinot Proposal = > > >>> > > >>> == Abstract == > > >>> > > >>> Pinot is a distributed columnar storage engine that can ingest data > in > > >>> real-time and serve analytical queries at low latency. There are two > > >>> modes > > >>> of data ingestion - batch and/or realtime. Batch mode allows users to > > >>> generate pinot segments externally using systems such as Hadoop. > These > > >>> segments can be uploaded into Pinot via simple curl calls. Pinot can > > >>> ingest > > >>> data in near real-time from streaming sources such as Kafka. Data > > >>> ingested > > >>> into Pinot is stored in a columnar format. Pinot provides a SQL like > > >>> interface (PQL) that supports filters, aggregations, and group by > > >>> operations. It does not support joins by design, in order to > guarantee > > >>> predictable latency. It leverages other Apache projects such as > > >>> Zookeeper, > > >>> Kafka, and Helix, along with many libraries from the ASF. > > >>> > > >>> == Proposal == > > >>> > > >>> Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of > > the > > >>> development happens at LinkedIn with other contributions from Uber > and > > >>> Slack. We believe that being a part of Apache Software Foundation > will > > >>> improve the diversity and help form a strong community around the > > >>> project. > > >>> > > >>> LinkedIn submits this proposal to donate the code base to Apache > > Software > > >>> Foundation. The code is already under Apache License 2.0. Code and > the > > >>> documentation are hosted on Github. > > >>> * Code: http://github.com/linkedin/pinot > > >>> * Documentation: https://github.com/linkedin/pinot/wiki > > >>> > > >>> > > >>> == Background == > > >>> > > >>> LinkedIn, similar to other companies, has many applications that > > provide > > >>> rich real-time insights to members and customers (internal and > > external). > > >>> The workload characteristics for these applications vary a lot. Some > > >>> internal applications simply need ad-hoc query capabilities with > > >>> sub-second > > >>> to multiple seconds latency. But external site facing applications > > >>> require > > >>> strong SLA even very high workloads. Prior to Pinot, LinkedIn had > > >>> multiple > > >>> solutions depending on the workload generated by the application and > > this > > >>> was inefficient. Pinot was developed to be the one single platform > that > > >>> addresses all classes of applications. Today at LinkedIn, Pinot > powers > > >>> more > > >>> than 50 site facing products with workload ranging from few queries > per > > >>> second to 1000’s of queries per second while maintaining the 99th > > >>> percentile latency which can be as low as few milliseconds. All > > internal > > >>> dashboards at LinkedIn are powered by Pinot. > > >>> > > >>> == Rationale == > > >>> > > >>> We believe that requirement to develop rich real-time analytic > > >>> applications > > >>> is applicable to other organizations. Both Pinot and the interested > > >>> communities would benefit from this work being openly available. > > >>> > > >>> == Current Status == > > >>> > > >>> Pinot is currently open sourced under the Apache License Version 2.0 > > and > > >>> available at github.com/linkedin/pinot. All the development is done > > using > > >>> GitHub Pull Requests. We cut releases on a weekly basis and deploy it > > at > > >>> LinkedIn. mp-0.1.468 is the latest release tag that is deployed in > > >>> production. > > >>> > > >>> == Meritocracy == > > >>> > > >>> Following the Apache meritocracy model, we intend to build an open > and > > >>> diverse community around Pinot. We will encourage the community to > > >>> contribute to discussion and codebase. > > >>> > > >>> == Community == > > >>> > > >>> Pinot is currently used extensively at LinkedIn and Uber. Several > > >>> companies > > >>> have expressed interest in the project. We hope to extend the > > contributor > > >>> base significantly by bringing Pinot into Apache. > > >>> > > >>> == Core Developers == > > >>> > > >>> Pinot was started by engineers at LinkedIn, and now has committers > from > > >>> Uber. > > >>> > > >>> == Alignment == > > >>> > > >>> Apache is the most natural home for taking Pinot forward. Pinot > > leverages > > >>> several existing Apache Projects such as Kafka, Helix, Zookeeper, and > > >>> Avro. > > >>> As Pinot gains adoption, we plan to add support for the ORC and > Parquet > > >>> formats, as well as adding integration with Yarn and Mesos. > > >>> > > >>> == Known Risks == > > >>> > > >>> === Orphaned Products === > > >>> > > >>> The risk of the Pinot project being abandoned is minimal. The teams > at > > >>> LinkedIn and Uber are highly incentivized to continue development of > > >>> Pinot > > >>> as it is a critical part of their infrastructure. > > >>> > > >>> === Inexperience with Open Source === > > >>> > > >>> Post open sourcing, Pinot was completely developed on GitHub. All the > > >>> current developers on Pinot are well aware of the open source > > development > > >>> process. However, most of the developers are new to the Apache > process. > > >>> Kishore Gopalakrishna, one of the lead developers in Pinot, is VP and > > >>> committer of the Apache Helix project. > > >>> > > >>> === Homogenous Developers === > > >>> > > >>> The current core developers are all from LinkedIn and Uber. However, > we > > >>> hope to establish a developer community that includes contributors > from > > >>> several corporations and we are actively encouraging new contributors > > via > > >>> the mailing lists and public presentations of Pinot. > > >>> > > >>> === Reliance on Salaried Developers === > > >>> > > >>> It is expected that Pinot 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 === > > >>> > > >>> As mentioned earlier, Pinot uses several Apache Projects such as > Kafka > > to > > >>> ingest data in real-time, Zookeeper and Helix for cluster management. > > >>> Pinot > > >>> also uses Maven for build and release. We foresee adding support for > > the > > >>> Parquet and ORC formats. Adding the ability to deploy on Yarn and > Mesos > > >>> clusters is another interesting project we might pursue. > > >>> > > >>> === An Excessive Fascination with the Apache Brand === > > >>> > > >>> While we respect the reputation of the Apache brand and have no > doubts > > >>> that > > >>> it will attract contributors and users, we believe ASF is the right > > home > > >>> for Pinot to foster a great community that will lead to a better > > outcome > > >>> in > > >>> the long term. > > >>> > > >>> == Documentation == > > >>> > > >>> * Code: https://github.com/linkedin/pinot/ > > >>> * Documentation: https://github.com/linkedin/pinot/wiki > > >>> * User group: https://groups.google.com/forum/#!forum/pinot_users > > >>> > > >>> == Initial Source == > > >>> > > >>> The current Pinot codebase is hosted on Github and licensed under the > > >>> Apache License V2. The source tree is self contained and relies on > > Maven > > >>> as > > >>> its build and dependency resolution mechanism. > > >>> > > >>> == External Dependencies == > > >>> > > >>> All dependencies in Pinot have licenses that are compatible with > Apache > > >>> License V2, except for the org.json library, which will be removed > > prior > > >>> to > > >>> Apache incubation. The list below summarizes the external > dependencies > > of > > >>> Pinot grouped by license and ASF license category. > > >>> > > >>> Dependencies from the ASF Category A > > >>> === Apache License 2.0 === > > >>> * com.101tec:zkclient:0.7 > > >>> * com.alibaba:fastjson:1.1.24 > > >>> * com.clearspring.analytics:stream:2.7.0 > > >>> * com.fasterxml.jackson.core:jackson-annotations:2.8.0 > > >>> * com.fasterxml.jackson.core:jackson-core:2.8.0 > > >>> * com.fasterxml.jackson.core:jackson-databind:2.8.0 > > >>> * com.google.code.findbugs:jsr305:3.0.0 > > >>> * com.google.guava:guava:19 > > >>> * com.ning:async-http-client:1.9.21 > > >>> * com.yammer.metrics:metrics-core:2.2.0 > > >>> * commons-beanutils:commons-beanutils:1.8.3 > > >>> * commons-cli:commons-cli:1.2 > > >>> * commons-codec:commons-codec:1.6 > > >>> * commons-configuration:commons-configuration:1.6 > > >>> * commons-fileupload:commons-fileupload:1.2.2 > > >>> * commons-httpclient:commons-httpclient:3.1 > > >>> * commons-io:commons-io:2.1 > > >>> * commons-validator:commons-validator:1.4.0 > > >>> * io.netty:netty-all:4.1.4.Final > > >>> * io.swagger:swagger-jaxrs:1.5.10 > > >>> * io.swagger:swagger-jersey2-jaxrs:1.5.10 > > >>> * it.unimi.dsi:fastutil:6.5.16 > > >>> * joda-time:joda-time:2 > > >>> * log4j:log4j:1.2.17 > > >>> * me.lemire.integercompression:JavaFastPFOR:0.0.13 > > >>> * nl.jqno.equalsverifier:equalsverifier:1.7.2 > > >>> * org.apache.avro:avro:1.7.6 > > >>> * org.apache.commons:commons-compress:1.9 > > >>> * org.apache.commons:commons-lang3:3.5 > > >>> * org.apache.commons:commons-math:2.1 > > >>> * org.apache.hadoop:hadoop-client:2.7.0 > > >>> * org.apache.hadoop:hadoop-common:2.7.0 > > >>> * org.apache.helix:helix-core:0.6.8 > > >>> * org.apache.httpcomponents:httpclient:4.1.3 > > >>> * org.apache.httpcomponents:httpclient:4.2.5 > > >>> * org.apache.httpcomponents:httpcore:4.2.5 > > >>> * org.apache.httpcomponents:httpmime:4.2.5 > > >>> * org.apache.kafka:kafka_2.10:0.9.0.1 > > >>> * org.apache.thrift:libthrift:0.9.1 > > >>> * org.apache.zookeeper:zookeeper:3.4.9 > > >>> * org.codehaus.jackson:jackson-core-asl:1.9.6 > > >>> * org.codehaus.jackson:jackson-mapper-asl:1.9.6 > > >>> * org.json:json:20080701 > > >>> * org.roaringbitmap:RoaringBitmap:0.5.10 > > >>> * org.testng:testng:6.0.1 > > >>> * org.twitter4j:twitter4j-core:4.0.3 > > >>> * org.webjars:swagger-ui:2.2.2 > > >>> * org.xerial.larray:larray:0.2.1 > > >>> * org.yaml:snakeyaml:1.16 > > >>> * xml-apis:xml-apis:1.0.b2 > > >>> === Dual license (Apache License 2.0 + LGPL 2.1), using under the > > Apache > > >>> License === > > >>> * org.codehaus.jackson:jackson-jaxrs:1.9.6 > > >>> * org.codehaus.jackson:jackson-xc:1.9.6 > > >>> === BSD === > > >>> * com.jcabi:jcabi-log:0.17.1 > > >>> * org.antlr:antlr4-annotations:4.3 > > >>> * org.antlr:antlr4-runtime:4.3 > > >>> === MIT === > > >>> * com.github.nkzawa:socket.io-client:0.5.1 > > >>> * org.mockito:mockito-core:2.10.0 > > >>> * org.slf4j:slf4j-api:1.7.7 > > >>> * org.slf4j:slf4j-log4j12:1.7.7 > > >>> > > >>> === Dependencies from the ASF Category B === > > >>> Dual license (CDDL 1.1 + GPL 2 w/ CPE), using under the CDDL > > >>> * com.sun.jersey:jersey-client:1.19.2 > > >>> * javax.servlet:javax.servlet-api:3.0.1 > > >>> * org.glassfish.jersey.containers:jersey-container- > grizzly2-http:2.23 > > >>> * org.glassfish.jersey.core:jersey-common:2.23 > > >>> * org.glassfish.jersey.core:jersey-server:2.23 > > >>> * org.glassfish.jersey.media:jersey-media-json-jackson:2.24 > > >>> * org.glassfish.jersey.media:jersey-media-multipart:2.23 > > >>> > > >>> === Dependencies from the ASF Category X === > > >>> JSON License > > >>> * org.json:json:20080701 (to be removed before Apache incubation) > > >>> > > >>> > > >>> == Cryptography == > > >>> > > >>> None > > >>> > > >>> == Required Resources == > > >>> > > >>> === Mailing lists === > > >>> > > >>> * pinot-private (with moderated subscriptions) > > >>> * pinot-user > > >>> * pinot-dev > > >>> * pinot-commits > > >>> > > >>> === Git repository === > > >>> > > >>> * git://git.apache.org/pinot > > >>> * https://git-wip-us.apache.org/repos/asf/incubator-pinot.git > > >>> > > >>> === Issue Tracking === > > >>> > > >>> A JIRA Issue tracker (PINOT) > > >>> > > >>> === Other Resources === > > >>> > > >>> The existing code already has unit and integration tests and we use > > >>> travis > > >>> to test the patch before committing it to master. We would like to > have > > >>> an > > >>> instance of Jenkins to achieve similar functionality. > > >>> > > >>> == Initial Committers == > > >>> > > >>> * Kishore Gopalakrishna > > >>> * Ravi Aringunram > > >>> * Jean-François Im > > >>> * Mayank Shrivastava > > >>> * Subbu Subramaniam > > >>> * Adwait Tumbde > > >>> * Xiaotian Jiang > > >>> * Jennifer Dai > > >>> * Seunghyun Lee > > >>> * Xiang Fu > > >>> * Dhaval Patel > > >>> * Neha Pawar > > >>> * Alex Pucher > > >>> * Yen-Jung Chang > > >>> > > >>> > > >>> > > >>> == Affiliations == > > >>> > > >>> * Kishore Gopalakrishna (LinkedIn) > > >>> * Ravi Aringunram (LinkedIn) > > >>> * Jean-François Im (LinkedIn) > > >>> * Mayank Shrivastava (LinkedIn) > > >>> * Subbu Subramaniam (LinkedIn) > > >>> * Adwait Tumbde (LinkedIn) > > >>> * Xiaotian Jiang (LinkedIn) > > >>> * Jennifer Dai (LinkedIn) > > >>> * Seunghyun Lee (LinkedIn) > > >>> * Xiang Fu (Uber) > > >>> * Dhaval Patel (Uber) > > >>> * Neha Pawar (LinkedIn) > > >>> * Alex Pucher (LinkedIn) > > >>> * Yen-Jung Chang (LinkedIn) > > >>> > > >>> == Sponsors == > > >>> > > >>> === Champion === > > >>> > > >>> * Olivier Lamy < olamy at apache dot org> > > >>> > > >>> === Nominated Mentors === > > >>> > > >>> * Olivier Lamy <olamy at apache dot org> > > >>> > > >>> === Sponsoring Entity === > > >>> > > >>> The Apache Incubator > > >> > > >> > > >> --------------------------------------------------------------------- > > >> 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 > > > > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > > For additional commands, e-mail: general-h...@incubator.apache.org > > > > > -- Olivier Lamy http://twitter.com/olamy | http://linkedin.com/in/olamy
