+1
Best regards, Pierre Smits V.P. Apache Trafodion On Sun, Mar 11, 2018 at 12:59 AM, Julian Hyde <jh...@apache.org> wrote: > +1 (binding) > > Ironic that Druid — a similar project — has just entered incubation too. > But of course that is not a conflict. Both are great projects. Good luck! > > Julian > > > > On Mar 9, 2018, at 7:37 PM, Carl Steinbach <c...@apache.org> wrote: > > > > +1 (binding) > > > > On Fri, Mar 9, 2018, 7:29 PM kishore g <g.kish...@gmail.com> wrote: > > > >> Added Jim Jagielski to the mentor's list. > >> > >> On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy <ol...@apache.org> wrote: > >> > >>> +1 > >>> > >>> On 9 March 2018 at 17:11, 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 > >>> > >> > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > For additional commands, e-mail: general-h...@incubator.apache.org > >
