Hi @Kishore I guess we have enough votes so maybe we can close the vote and start the process?
On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail <kmcgr...@apache.org> wrote: > +1 binding. Apologies if this is a dupe. I thought I voted days ago. > > On Mar 9, 2018 02:11, "kishore g" <g.kish...@gmail.com> wrote: > > > Hi all, > > > > I would like to call a VOTE to accept Pinot into the Apache Incubator. > The > > full proposal is available on the wiki > > <https://wiki.apache.org/incubator/PinotProposal> > > > > Please cast your vote: > > > > [ ] +1, bring Pinot into Incubator > > [ ] +0, I don't care either way, > > [ ] -1, do not bring Pinot into Incubator, because... > > > > The vote will open at least for 72 hours and only votes from the > Incubator > > PMC are binding. > > > > Thanks, > > Kishore G > > > > Discussion thread: > > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org > > > > > > = 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) > > * Marcel Siegrist > > > > == Sponsors == > > > > === Champion === > > > > * Olivier Lamy < olamy at apache dot org> > > > > === Nominated Mentors === > > > > * Olivier Lamy <olamy at apache dot org> > > * Kishore Gopalakrishna < kishoreg at apache dot org> > > * > > > > === Sponsoring Entity === > > > > The Apache Incubator > > > -- Olivier Lamy http://twitter.com/olamy | http://linkedin.com/in/olamy
