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From Jim Jagielski <...@jaguNET.com>
Subject Re: [DISCUSS] Apache Pinot Incubator Proposal
Date Fri, 09 Mar 2018 21:37:10 GMT
If still looking for mentors, I'll throw my hat in.

> On Mar 9, 2018, at 1:19 PM, kishore g <g.kishore@gmail.com> wrote:
> 
> @John, will start that process asap.
> 
> @Felix Yes, we are looking for mentors. I can remove myself since I will be
> actively participating the project anyways.
> 
> On Fri, Mar 9, 2018 at 8:58 AM, Felix Cheung <felixcheung@apache.org> wrote:
> 
>> Hi Kishore - do you need one more mentor?
>> 
>> 
>> On Tue, Feb 13, 2018 at 12:10 AM kishore g <g.kishore@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
>>> 
>> 


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