+1
On 5/22/17, 1:01 AM, "Luciano Resende" <luckbr1...@gmail.com> wrote:
+1
Also, I see the proposal is short on mentors, so feel free to include me as
a mentor for the project.
Thanks
On Fri, May 19, 2017 at 4:45 PM Sean Busbey <bus...@apache.org> wrote:
> Dear Apache Incubator Community,
>
> I'm excited to present for discussion a proposal to move Livy into
> incubation. Livy is web service that exposes a REST interface for managing
> long running Apache Spark contexts in your cluster. With Livy, new
> applications can be built on top of Apache Spark that require fine grained
> interaction with many Spark contexts.
>
> The proposal is on the wiki at the following page as well as copied in the
> email below:
>
> https://wiki.apache.org/incubator/LivyProposal
>
> In addition to welcoming feedback on the proposal, we are actively seeking
> one or more additional mentors. We also have included a section for
> interested folks to ensure they get added to the mailing lists, presuming
> Livy gets accepted for incubation.
>
> ---- LivyProposal
>
> = Abstract =
>
> Livy is web service that exposes a REST interface for managing
> long running Apache Spark contexts in your cluster. With Livy, new
> applications can be built on top of Apache Spark that require fine grained
> interaction with many Spark contexts.
>
> = Proposal =
>
> Livy is an open-source REST service for Apache Spark. Livy
> enables applications to submit Spark applications and retrieve results
> without a co-location requirement on the Spark cluster.
>
> We propose to contribute the Livy codebase and associated artifacts (e.g.
> documentation, web-site context etc) to the Apache Software Foundation.
>
> = Background =
>
> Apache Spark is a fast and general purpose distributed
> compute engine, with a versatile API. It enables processing of large
> quantities of static data distributed over a cluster of machines, as well
> as
> processing of continuous streams of data. It is the preferred distributed
> data processing engine for data engineering, stream processing and data
> science workloads. Each Spark application uses a construct called the
> SparkContext, which is the application’s connection or entry point to the
> Spark engine. Each Spark application will have its own SparkContext.
>
> Livy enables clients to interact with one or more Spark sessions through
> the
> Livy Server, which acts as a proxy layer. Livy Clients have fine grained
> control over the lifecycle of the Spark sessions, as well as the ability
to
> submit jobs and retrieve results, all over HTTP. Clients have two modes
of
> interaction: RPC Client API, available in Java and Python, which allows
> results to be retrieved as Java or Python objects. The serialization and
> deserialization of the results is handled by the Livy framework. HTTP
> based
> API that allows submission of code snippets, and retrieval of the results
> in
> different formats.
>
> Multi-tenant resource allocation and security: Livy enables multiple
> independent Spark sessions to be managed simultaneously. Multiple clients
> can also interact simultaneously with the same Spark session and share the
> resources of that Spark session. Livy can also enforce secure,
> authenticated
> communication between the clients and their respective Spark sessions.
>
> More information on Livy can be found at the existing open source website:
> http://livy.io/
>
> = Rationale =
>
> Users want to use Spark’s powerful processing engine and API
> as the data processing backend for interactive applications. However, the
> job submission and application interaction mechanisms built into Apache
> Spark are insufficient and cumbersome for multi-user interactive
> applications.
>
> The primary mechanism for applications to submit Spark jobs is via
> spark-submit
> (http://spark.apache.org/docs/latest/submitting-applications.html), which
> is
> available as a command line tool as well as a programmatic API. However,
> spark-submit has the following limitations that make it difficult to build
> interactive applications: It is slow: each invocation of spark-submit
> involves a setup phase where cluster resources are acquired, new processes
> are forked, etc. This setup phase runs for many seconds, or even minutes,
> and hence is too slow for interactive applications. It is cumbersome and
> lacks flexibility: application code and dependencies have to be
> pre-compiled
> and submitted as jars, and can not be submitted interactively.
>
> Apache Spark comes with an ODBC/JDBC server, which can be used to submit
> SQL
> queries to Spark. However, this solution is limited to SQL and does not
> allow the client to leverage the rest of the Spark API, such as RDDs,
MLlib
> and Streaming.
>
> A third way of using Spark is via its command-line shell, which allows the
> interactive submission of snippets of Spark code. However, the shell
> entails
> running Spark code on the client machine and hence is not a viable
> mechanism
> for remote clients to submit Spark jobs.
>
> Livy solves the limitations of the above three mechanisms, and provides
the
> full Spark API as a multi-tenant service to remote clients.
>
> Since the open source release of Livy in late 2015, we have seen
tremendous
> interest among a diverse set of application developers and ISVs that want
> to
> build applications with Apache Spark. To make Livy a robust and flexible
> solution that will enable a broad and growing set of applications, it is
> important to grow a large and varied community of contributors.
>
> = Initial Goals =
>
> Move existing codebase, website, documentation and mailing
> lists to Apache-hosted infrastructure Work with the infrastructure team to
> implement and approve our code review, build, and testing workflows in the
> context of the ASF Incremental development and releases per Apache
> guidelines
>
> = Current Status =
>
> The Livy project began at Cloudera, as a part of the Hue
> project. Cloudera soon realized the broad applicability of Livy, and
> separated it out into an independent project in Nov 2015.
>
> == Releases ==
>
> Livy has undergone two public releases, tagged here:
>
> * https://github.com/cloudera/livy/releases/tag/v0.2.0
> * https://github.com/cloudera/livy/releases/tag/v0.3.0
>
> Tarballs and zip files were created for each release and hosted on github.
> Upon joining the incubator, we will adopt a more typical ASF release
> process.
>
> == Source ==
>
> Livy’s source is currently hosted on Github at:
>
> https://github.com/cloudera/livy
>
> This repository will be transitioned to Apache’s git hosting during
> incubation.
>
> == Code review ==
>
> Livy’s code reviews are currently public and hosted on
> github as pull request reviews at: https://github.com/cloudera/livy/pulls
> The Livy developer community so far is happy with github pull request
> reviews and hopes to continue this after being admitted to the ASF.
>
> == Issue Tracking ==
>
> Livy’s bug and feature tracking is hosted on JIRA at:
> https://issues.cloudera.org/projects/LIVY/summary This JIRA instance
> contains bugs and development discussion dating back 1 year and will
> provide
> an initial seed for the ASF JIRA
>
> == Community Discussion ==
>
> Livy has several public discussion forums:
>
> * https://groups.google.com/a/cloudera.org/forum/#!forum/livy-dev
> * https://groups.google.com/a/cloudera.org/forum/#!forum/livy-user
>
> == Development Practices ==
>
> The Livy project follows a review before commit philosophy. Every commit
> automatically runs through the unit tests and generates coverage reports
> presented as a pull request comment. Our experience with this process
leads
> us to believe that it helps ease new contributors into the project. They
> get
> feedback quickly on common mistakes, lowering the burden on reviewers.
> Those
> same reviewers get to lead by example, showing the new contributors that
we
> value feedback within our community even when changes are done by more
> experienced folks.
>
> == Meritocracy ==
>
> We believe strongly in meritocracy when electing committers and PMC
> members.
> In the past few months, the project has added two new committers from two
> different organisations, in recognition of their significant contributions
> to the project. We will encourage contributions and participation of all
> types, and ensure that contributors are appropriately recognized.
>
> == Community ==
>
> Though Livy is relatively new as a standalone open source project, it has
> already seen promising growth in its community across several
> organizations:
> Cloudera is the original development sponsor for Livy Microsoft pushed the
> development of the interpreter fixing high availability issues and adding
> additional features. Hortonworks has contributed the security features to
> Livy allowing kerberos and impersonation to work with Spark IBM is
starting
> to make contributions to the Livy project A number of other patches
> contributed by community members
>
> Livy currently relies on Google Groups for mailing lists. These lists have
> been active since the end of 2015/start of 2016. Currently, Livy’s user
> mailing list has 173 subscribers and has hosted a total of 227 topic
> threads. Livy’s developer list has 49 subscribers and has hosted 79 topic
> threads.
>
> == Core Developers ==
>
> The early contributions to Livy were made by Cloudera engineers. In 2016,
> engineers from Microsoft and Hortonworks joined the core developer
> community.
>
> == Alignment ==
>
> Livy is built upon Apache Spark, and other Apache projects like Apache
> Hadoop YARN. It’s used as a building block by Apache Zeppelin. These
> community connections combined with our focus on development practices
that
> emphasize community engagement with a path to meritocratic recognition
> naturally align us with the ASF.
>
> = Known Risks =
> == Orphaned Products ==
>
> The risk of Livy being abandoned is low because it is supported by three
> major big-data software vendors. Moreover, Livy is already used to power
> multiple releases of services and products used in production.
>
> == Inexperience with Open Source ==
>
> Several of the initial committers are experienced open source developers,
> several being committers and/or PMC members on other ASF projects (Spark,
> YARN).
>
> == Homogenous Developers ==
>
> The project already has a diverse developer base. It has contributions
from
> 3 major organisations (Cloudera, Microsoft and Hortonworks), and is used
in
> diverse applications, in diverse settings (On-Prem and Cloud).
>
> == Reliance on salaried Developers ==
>
> The existing contributors to the Livy project have been made by salaried
> engineers from Cloudera, Microsoft and Hortonworks. Since there are three
> major organisations involved, the risk of reliance on a single group of
> salaried developers is mitigated. The Livy user base is diverse, with
users
> from across the globe, including users from academic settings. We aim to
> further diversify the Livy user and contributor base.
>
> == Relationships with other Apache projects ==
>
> Livy is closely tied to the Apache Spark project and currently addresses
> the
> scenarios for a REST based batch and interactive gateway for Spark jobs on
> YARN. Given the growing number of integrations with Livy, keeping it
> outside
> of Apache Spark aligns with the desire of the Apache Spark community to
> reduce the number of external dependencies in the Spark project.
> Specifically, the Apache Spark community has previously expressed a desire
> to keep job servers independent from the project.<<FootNote(See, for
> example, discussion of the Ooyala Spark Job Server in SPARK-818)>>
> Furthermore, while Livy common usage is closely tied to Spark deployments
> right now, its core building blocks can be reused elsewhere. Livy’s
Remote
> REPL could be used as a library for interactive scenarios in non-Spark
> projects. In the future, integrations with cluster managers like Apache
> Mesos and others could also be added.
>
> The features provided by Livy have already been integrated with existing
> projects like Jupyter and Apache Zeppelin for their interactive Spark use
> cases. This validates the need for a project like Livy and provides an
> active downstream user base that the Livy community can interact with to
> seed future interest in the project.
>
> Livy serves a similar purpose to Apache Toree (incubating) but differs in
> making session management, security and impersonation a focal design
point.
>
> == An Excessive Fascination with the Apache Brand ==
>
> The primary motivation for submitting Livy to the ASF is to grow a diverse
> and strong community. We wish to encourage diverse organisations,
including
> ISVs, to adopt Livy and contribute to Livy without any concerns about
> ownership or licensing.
>
> = Documentation =
>
> Documentation can be found on the Livy website http://livy.io/ The Livy
> web
> site is version controlled on the ‘gh-pages’ branch of the above
repository
> Additional documentation is provided on the github wiki:
> https://github.com/cloudera/livy/wiki APis are documented within the
> source
> code as JavaDoc style documentation comments.
>
> = Initial Source =
>
> The initial source code for Livy is hosted at
>
> https://github.com/cloudera/livy
>
> = Source and Intellectual Property submission plan =
>
> The Livy codebase and web site is currently hosted on GitHub and will be
> transitioned to the ASF repositories during incubation. Livy is already
> licensed under the Apache 2.0 license. Cloudera has collected ICLAs and
> CCLAs from all committers. There are, however, some contributions
recently
> from authors that have not signed the CCLA and ICLA. If necessary for a
> successful SGA, we’ll seek the necessary documentation or replace the
> contributions.
>
> The “Livy” name is not a registered trademark. We will need to do a
> trademark search and make sure it is available for the Apache Foundation
> prior to graduation.
>
> Cloudera currently owns the domain name: http://livy.io/ which will be
> transferred to the ASF and redirected to the official page during
> incubation.
>
> = External Dependencies =
>
> The list below covers the non-Apache dependencies of the project and their
> licenses.
>
> * Jetty: Apache 2.0
> * Dropwizard Metrics: Apache 2.0
> * FasterXML Jackson: Apache 2.0
> * Netty: Apache 2.0
> * Scala: BSD
> * Py4J: BSD
> * Scalatra: BSD
>
> Build/test-only dependencies:
>
> * Mockito: MIT
> * JUnit: Eclipse
>
> = Required Resources =
> == Mailing Lists ==
>
> * priv...@livy.incubator.apache.org (PPMC)
> * d...@livy.incubator.apache.org (dev mailing list)
> * u...@livy.incubator.apache.org (User questions)
> * comm...@livy.incubator.apache.org (subscribers shouldn’t be able to
> post)
> * iss...@livy.incubator.apache.org (subscribers shouldn’t be able to
> post)
>
> == Git Repository ==
>
> git://git.apache.org/livy
>
> == Issue Tracking ==
>
> We would like to import our current JIRA project into the ASF JIRA, such
> that our historical commit message and code comments continue to reference
> the appropriate bug numbers.
>
> = Initial Committers =
>
> * Marcelo Vanzin (van...@cloudera.com)
> * Alex Man (alex@alexman.space)
> * Jeff Zhang (zjf...@gmail.com)
> * Saisai Shao (ss...@hortonworks.com)
> * Kostas Sakellis (kos...@cloudera.com)
>
> = Affiliations =
>
> The initial set of committers includes people employed by Cloudera and
> Hortonworks as well as one person currently unaffiliated with an employer.
>
> = Additional Interested Contributors =
>
> Those interested in getting involved with the project as we enter
> incubation
> are encourage to list themselves here.
>
> * < add here >
>
> = Sponsors =
> == Champion ==
>
> * Sean Busbey (bus...@apache.org)
>
> == Nominated Mentors ==
>
> * Bikas Saha (bi...@apache.org)
> * Brock Noland (br...@phdata.io)
>
> == Sponsoring Entity ==
>
> We ask that the Incubator PMC sponsor this proposal.
>
>
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