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From "Kevin A. McGrail" <kevin.mcgr...@mcgrail.com>
Subject Re: [DISCUSS] Apache Pinot Incubator Proposal
Date Wed, 14 Feb 2018 00:22:26 GMT
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.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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