Think I've missed the vote window, but

+1 binding

I will repeat what I raised when the proposal first came up, something that 
wasn't addresses at all: ZeroMQ is LGPL, which is forbidden as a mandatory 
dependency in ASF projects.

Step 1 of the project is going to have to confirm that the zeroMQ : LGPL+ 
Static Linking Exception is sufficient for it to be allowed as a dependency on 
the project.

If it's not, then that's going to be a fundamental barrier to releasing Torii 
as ASF-signed off artifacts

>> 
>> On Thu, Nov 26, 2015 at 10:33 AM, Luciano Resende <luckbr1...@gmail.com>
>> wrote:
>>> After initial discussion (under the name Spark-Kernel), please vote on
>>> the
>>> acceptance of Torii Project for incubation at the Apache Incubator. The
>>> full proposal is
>>> available at the end of this message and on the wiki at :
>>> 
>>> https://wiki.apache.org/incubator/ToriiProposal
>>> 
>>> Please cast your votes:
>>> 
>>> [ ] +1, bring Torii into Incubator
>>> [ ] +0, I don't care either way
>>> [ ] -1, do not bring Torii into Incubator, because...
>>> 
>>> Due to long weekend holiday in US, I will leave the vote open until
>>> December 1st.
>>> 
>>> 
>>> = Torii =
>>> 
>>> == Abstract ==
>>> Torii provides applications with a mechanism to interactively and
>>> remotely
>>> access Apache Spark.
>>> 
>>> == Proposal ==
>>> Torii enables interactive applications to access Apache Spark clusters.
>>> More specifically:
>>> * Applications can send code-snippets and libraries for execution by
>>> Spark
>>> * Applications can be deployed separately from Spark clusters and
>>> communicate with the Torii using the provided Torii client
>>> * Execution results and streaming data can be sent back to calling
>>> applications
>>> * Applications no longer have to be network connected to the workers
>>> on a
>>> Spark cluster because the Torii acts as each application’s proxy
>>> * Work has started on enabling Torii to support languages in addition
>>> to
>>> Scala, namely Python (with PySpark), R (with SparkR), and SQL (with
>>> SparkSQL)
>>> 
>>> == Background & Rationale ==
>>> Apache Spark provides applications with a fast and general purpose
>>> distributed computing engine that supports static and streaming data,
>>> tabular and graph representations of data, and an extensive library of
>>> machine learning libraries. Consequently, a wide variety of applications
>>> will be written for Spark and there will be interactive applications
>>> that
>>> require relatively frequent function evaluations, and batch-oriented
>>> applications that require one-shot or only occasional evaluation.
>>> 
>>> Apache Spark provides two mechanisms for applications to connect with
>>> Spark. The primary mechanism launches applications on Spark clusters
>>> using
>>> spark-submit (
>>> http://spark.apache.org/docs/latest/submitting-applications.html); this
>>> requires developers to bundle their application code plus any
>>> dependencies
>>> into JAR files, and then submit them to Spark. A second mechanism is an
>>> ODBC/JDBC API (
>>> 
>>> http://spark.apache.org/docs/latest/sql-programming-guide.html#distribute
>>> d-sql-engine)
>>> which enables applications to issue SQL queries against SparkSQL.
>>> 
>>> Our experience when developing interactive applications, such as
>>> analytic
>>> applications integrated with Notebooks, to run against Spark was that
>>> the
>>> spark-submit mechanism was overly cumbersome and slow (requiring JAR
>>> creation and forking processes to run spark-submit), and the SQL
>>> interface
>>> was too limiting and did not offer easy access to components other than
>>> SparkSQL, such as streaming. The most promising mechanism provided by
>>> Apache Spark was the command-line shell (
>>> 
>>> http://spark.apache.org/docs/latest/programming-guide.html#using-the-shel
>>> l)
>>> which enabled us to execute code snippets and dynamically control the
>>> tasks
>>> submitted to  a Spark cluster. Spark does not provide the command-line
>>> shell as a consumable service but it provided us with the starting point
>>> from which we developed Torii.
>>> 
>>> == Current Status ==
>>> Torii was first developed by a small team working on an internal-IBM
>>> Spark-related project in July 2014. In recognition of its likely general
>>> utility to Spark users and developers, in November 2014 the Torii
>>> project
>>> was moved to GitHub and made available under the Apache License V2.
>>> 
>>> == Meritocracy ==
>>> The current developers are familiar with the meritocratic open source
>>> development process at Apache. As the project has gathered interest at
>>> GitHub the developers have actively started a process to invite
>>> additional
>>> developers into the project, and we have at least one new developer who
>>> is
>>> ready to contribute code to the project.
>>> 
>>> == Community ==
>>> We started building a community around Torii project when we moved it to
>>> GitHub about one year ago. Since then we have grown to about 70 people,
>>> and
>>> there are regular requests and suggestions from the community. We
>>> believe
>>> that providing Apache Spark application developers with a
>>> general-purpose
>>> and interactive API holds a lot of community potential, especially
>>> considering possible tie-in’s with Notebooks and data science community.
>>> 
>>> == Core Developers ==
>>> The core developers of the project are currently all from IBM, from the
>>> IBM
>>> Emerging Technology team and from IBM’s recently formed Spark Technology
>>> Center.
>>> 
>>> == Alignment ==
>>> Apache, as the home of Apache Spark, is the most natural home for the
>>> Torii
>>> project because it was designed to work with Apache Spark and to provide
>>> capabilities for interactive applications and data science tools not
>>> provided by Spark itself.
>>> 
>>> The Torii also has an affinity with Jupyter (jupyter.org) because it
>>> uses
>>> the Jupyter protocol for communications, and so Jupyter Notebooks can
>>> directly use the Torii as a kernel for communicating with Apache Spark.
>>> However, we believe that the Torii provides a general-purpose mechanism
>>> enabling a wider variety of applications than just Notebooks to access
>>> Spark, and so the Torii’s greatest affinity is with Apache and Apache
>>> Spark.
>>> 
>>> == Known Risks ==
>>> 
>>> === Orphaned products ===
>>> We believe the Torii project has a low-risk of abandonment due to
>>> interest
>>> in its continuing existence from several parties. More specifically, the
>>> Torii provides a capability that is not provided by Apache Spark today
>>> but
>>> it enables a wider range of applications to leverage Spark. For example,
>>> IBM uses (and is considering) the Torii in several offerings including
>>> its
>>> IBM Analytics for Apache Spark product in the Bluemix Cloud. There are
>>> also
>>> a couple of other commercial users who are using or considering its use
>>> in
>>> their offerings. Furthermore, Jupyter Notebooks are used by data
>>> scientists
>>> and Spark is gaining popularity as an analytic engine for them. Jupyter
>>> Notebooks are very easily enabled with the Torii and so there is another
>>> constituency for it.
>>> 
>>> === Inexperience with Open Source ===
>>> The Torii project has been running as an open-source project (albeit
>>> with
>>> only IBM committers) for the past several months. The project has an
>>> active
>>> issue tracker and due to the interest indicated by the nature and
>>> volume of
>>> requests and comments, the team has publicly stated it is beginning to
>>> build a process so they can accept third-party contributions to the
>>> project.
>>> 
>>> === Relationships with Other Apache Products ===
>>> The Torii has a clear affinity with the Apache Spark project because it
>>> is
>>> designed to  provide capabilities for interactive applications and data
>>> science tools not provided by Spark itself. The Torii can be a back-end
>>> for
>>> the Zeppelin project currently incubating at Apache. There is interest
>>> from
>>> the Torii community to develop this capability and an experimental
>>> branch
>>> has been started.
>>> 
>>> === Homogeneous Developers ===
>>> The current group of developers working on Torii are all from IBM
>>> although
>>> the group is in the process of expanding its membership to include
>>> members
>>> of the GitHub community who are not from IBM and who have been active in
>>> the Torii community in GutHub.
>>> 
>>> === Reliance on Salaried Developers ===
>>> The initial committers are full-time employees at IBM although not all
>>> work
>>> on the project full-time.
>>> 
>>> === Excessive Fascination with the Apache Brand ===
>>> We believe the Torii benefits Apache Spark application developers, and
>>> we
>>> are interested in an Apache Torii project to benefit these developers by
>>> engaging a larger community, facilitating closer ties with the existing
>>> Spark project, and yes, gaining more visibility for the Torii as a
>>> solution.
>>> 
>>> === Documentation ===
>>> Comprehensive documentation including “Getting Started”, API
>>> specifications
>>> and a Roadmap are available from the GitHub project, see
>>> https://github.com/ibm-et/Torii/wiki.
>>> 
>>> === Initial Source ===
>>> The source code resides at https://github.com/ibm-et/Torii.
>>> 
>>> === External Dependencies ===
>>> The Torii depends upon a number of Apache projects:
>>> * Spark
>>> * Hadoop
>>> * Ivy
>>> * Commons
>>> 
>>> The Torii also depends upon a number of other open source projects:
>>> * ZeroMQ (LGPL with Static Linking Exception,
>>> http://zeromq.org/area:licensing)
>>> * Akka (MIT)
>>> * JOpt Simple (MIT)
>>> * Spring Framework Core (Apache v2)
>>> * Play (Apache v2)
>>> * SLF4J (MIT)
>>> * Scala
>>> * Scalatest (Apache v2)
>>> * Scalactic (Apache v2)
>>> * Mockito (MIT)
>>> 
>>> == Required Resources ==
>>> 
>>> === Mailing lists ===
>>> 
>>> * priv...@torii.incubator.apache.org (with moderated subscriptions)
>>> * comm...@torii.incubator.apache.org
>>> * d...@torii.incubator.apache.org
>>> 
>>> === Git Repository ===
>>> 
>>> * https://git-wip-us.apache.org/repos/asf/incubator-torii.git
>>> 
>>> === Issue Tracking ===
>>> 
>>> * A JIRA issue tracker: https://issues.apache.org/jira/browse/TORII
>>> 
>>> == Initial Committers ==
>>> 
>>> * Leugim Bustelo (lbustelo AT us DOT ibm DOT com)
>>> * Jakob Odersky (odersky AT us DOT ibm DOT com)
>>> * Luciano Resende (lresende AT apache DOT org)
>>> * Robert Senkbeil (rcsenkbe AT us DOT ibm DOT com)
>>> * Corey Stubbs (cstubbs AT us DOT ibm DOT com)
>>> * Miao Wang (wangmiao AT us DOT ibm DOT com)
>>> * Sean Welleck (swelleck AT us DOT ibm DOT com)
>>> 
>>> === Affiliations ===
>>> All of the initial committers are employed by IBM.
>>> 
>>> == Sponsors ==
>>> 
>>> === Champion ===
>>> * Sam Ruby (rubys AT apache DOT org)
>>> 
>>> === Nominated Mentors ===
>>> * Luciano Resende (lresende AT apache DOT org)
>>> * Reynold Xin (rxin AT apache DOT org)
>>> * Hitesh Shah (hitesh AT apache DOT org)
>>> * Julien Le Dem (julien AT apache DOT org)
>>> 
>>> === Sponsoring Entity ===
>>> 
>>> We would like to propose the Apache Incubator to sponsor this project.
>>> 
>>> 
>>> --
>>> Luciano Resende
>>> http://people.apache.org/~lresende
>>> http://twitter.com/lresende1975
>>> http://lresende.blogspot.com/
>> 
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