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This was extracted (@ 2017-05-22 18:10) from a list of minutes which have been approved by the Board.
Please Note The Board typically approves the minutes of the previous meeting at the beginning of every Board meeting; therefore, the list below does not normally contain details from the minutes of the most recent Board meeting.

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HAWQ

19 Apr 2017

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and convenience
of Hadoop. HAWQ reads data from and writes data to HDFS natively.  HAWQ
delivers industry-leading performance and linear scalability. It provides
users the tools to confidently and successfully interact with petabyte range
data sets. HAWQ provides users with a complete, standards compliant SQL
interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

  1. Continue to improve the project's release cadence. To this end we
     plan on expanding automation services to support increased
     developer participation.

  2. Continue to expand the community, by adding new contributors and
     focusing on making sure that there's a much more robust level of
     conversations and discussions happening around roadmaps and
     feature development on the public dev mailing list.

  3. Expand release artifacts to include the delivery of binary
     artifacts. We expect the project to significantly refine the
     binary release process in several key areas.

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

  1. Nothing urgent at this time.

How has the community developed since the last report?

  1. Two Meetups took place in Beijing, China:

     * HAWQ Meetup (January 12, 2017)

       - HAWQ2.X New Features - Yanqing Wen, Pivotal HAWQ Senior
         Engineer
       - HAWQ Elasticity - Huan Zhang, Pivotal HAWQ Senior Engineer
       - Data Lake and HAWQ Integration - Wenbin Lu, EMC Big Data
         Senior Engineer

     * HAWQ Meetup (March 23, 2017)

       - Apache HAWQ Exploration Step by Step - Configuration, Build,
         Deployment and Debug by Xiang Sheng, Pivotal Software
         Engineer
       - Transaction Management in Apache HAWQ by Ming Li, Pivotal
         Senior Software Engineer
       - Max Compute - A SQL engine based on Apache HAWQ by Chen Xia,
         Database Expert in Alibaba Cloud

  2. A significant push by the dev community has been made to review
     and merge the project's Pull Requests (PR). As of March 30, 2017,
     eight of the nine open PRs have been opened in the last ten
     days. The PR opened on Sep 2016 is targeted to be merged after
     the Apache 2.2.0.0 release.

  3. Community contribution highlight(s):

     * Leveraging the extensible PXF design, a JDBC PXF plugin
       was contributed by Devin Jia (github id: jiadexin). This
       contribution came from the community and not from the
       company which originally donated HAWQ to the ASF.

  4. Recent porting efforts:

     - Persistent Systems Engineers are actively engaging the dev
       community on their HAWQ porting efforts to RHEL 7.1 on S390
       platform.

     - Ubuntu 16.04.2 LTS (Xenial Xerus) porting notes have been
       published on dev list.

  5. Ruilong Huo has volunteered to be the Release Manager (RM) for
     the upcoming 2.2.0.0 release

How has the project developed since the last report?

  1. Apache HAWQ 2.1.0.0 (source code only) has been released.

  2. Apache HAWQ 2.2.0.0 release proposed (source code and first
     binary release).  This is the 3rd release as an incubating
     project. The binaries will be Hadoop vendor agnostic providing
     support for the Apache Bigtop 1.2.0 distribution.

     Release page:

       https://cwiki.apache.org/confluence/display/HAWQ/Apache+HAWQ+2.2.0.0-incubating+Release

     Release hightlights:

       * CentOS 7.x Support
       * Ranger Integration
       * PXF ORC Profile
       * Bug Fixes

  3. Paul Guo (paulguo@gmail.com - committer and recent HAWQ PPMC
     member) is publishing (to dev email list) a regular HAWQ Graduation
     update for the project.

     * HAWQ graduation update (January, 17, 2017)
       https://lists.apache.org/thread.html/cd37e2b48d4bbc9fe4a9cea47f8247a2a614fa9643171937db9568ed@%3Cdev.hawq.apache.org%3E

     * Apache HAWQ graduation update (Mar 1st, 2017)
       https://lists.apache.org/thread.html/3a1e454f8c706dd71b1690c3ae74a157ef42eefde2185c780e2a57a2@%3Cdev.hawq.apache.org%3E

  4. The Apache HAWQ website has been updated:
     * Provide clearer (more user-friendly) home page with good
       access to downloadable release artifacts.
     * The Apache HAWQ doc set is opened sourced and accessible
       from website's nav bar.

  5. Significant updates to the Apache HAWQ wiki:

     * Add more community activities and recorded videos:
       https://cwiki.apache.org/confluence/display/HAWQ/Community

     * Add design documents for certain components:
       https://cwiki.apache.org/confluence/display/HAWQ/Tech+Documents

How would you assess the podling's maturity?
Please feel free to add your own commentary.

  [ ] Initial setup
  [ ] Working towards first release
  [X] Community building
  [X] Nearing graduation
  [ ] Other:

Date of last release:

  2017-02-28

When were the last committers or PMC members elected?

  Podling committers (3) added:
    Lisa Owen: January 31, 2017
    Jane Beckman: February 1, 2017
    Kyle Dunn: March 2, 2017

  PPMC member (1) added:
    Paul Guo: March 10, 2017

Signed-off-by:

 [X](hawq) Alan Gates
           Comments:
 [X](hawq) Konstantin Boudnik
           Comments:
 [ ](hawq) Justin Erenkrantz
           Comments:
 [ ](hawq) Thejas Nair
           Comments:
 [x](hawq) Roman Shaposhnik
           Comments:
             Podling seems to be a few months away from fulfilling all of the
             graduation requirements.

IPMC/Shepherd notes:

  johndament: The podling is extremely active, I'm not sure there's anything
              left blocking them from graduation.

18 Jan 2017

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and convenience
of Hadoop. HAWQ reads data from and writes data to HDFS natively.  HAWQ
delivers industry-leading performance and linear scalability. It provides
users the tools to confidently and successfully interact with petabyte range
data sets. HAWQ provides users with a complete, standards compliant SQL
interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

  1. Expand the community, by adding new contributors and focusing on making
     sure that there's a much more robust level of conversations and
     discussions happening around roadmaps and feature development on the
     public dev mailing list
  2. Infrastructure migration: create Jenkins projects that build HAWQ
     binary, source tarballs, and run feature tests including at least
     installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware
of?

  Everything seems to be smooth, nothing urgent at this time.

How has the community developed since the last report?

  1. The community becomes more open for discussion around the roadmap,
     various features that committers are working on, infrastructure
     enhancements for the project.
  2. Two talks:
     * The SQL-on-Hadoop engine that replaces traditional data warehouses:
       HAWQ, China Open Source Conference Oct, 2016, Lei Chang
     * Apache HAWQ on cloud: the easiest way to cloud from traditional data
       warehouses, Big Data Technology Conferences, Dec, 2016, Lei Chang
  3. Ed volunteered as an RM for the upcoming 2.1.0.0 release
  4. Interesting discussions and work around Docker for HAWQ. HAWQ has an
     account on docker hub: https://hub.docker.com/u/hawq/

How has the project developed since the last report?

  1. Apache HAWQ 2.0.0.0 released.
  2. HAWQ 2.1.0.0 release proposed:
     https://cwiki.apache.org/confluence/display/HAWQ/HAWQ+Release+2.1.0.0-incubating+Release
     * Critical HAWQ Register bug fixes
     * Move HAWQ Ambari plugin to Apache HAWQ:   HAWQ-1013 RESOLVED
     * Introduction of the PXF ORC support
     * Many bug fixes

Date of last release:

  Oct 8, 2016

When were the last committers or PMC members elected?

  Two committers added: Hong Wu and Paul Guo

Signed-off-by:

 [X](hawq) Alan Gates
 [ ](hawq) Konstantin Boudnik
 [ ](hawq) Justin Erenkrantz
 [ ](hawq) Thejas Nair
 [X](hawq) Roman Shaposhnik

19 Oct 2016

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and convenience
of Hadoop. HAWQ reads data from and writes data to HDFS natively.  HAWQ
delivers industry-leading performance and linear scalability. It provides
users the tools to confidently and successfully interact with petabyte range
data sets. HAWQ provides users with a complete, standards compliant SQL
interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

1. Produce our first Apache Release 2. Expand the community, by adding new
contributors and focusing on making sure that there's a much more robust level
of conversations and discussions happening around roadmaps and feature
development on the public dev mailing list 3. Infrastructure migration: create
Jenkins projects that build HAWQ binary, source tarballs, and run feature
tests including at least installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be aware
of?

Everything seems to be smooth, nothing urgent at this time.

How has the community developed since the last report?

1. we have seen significant increase of communication and collaboration across
the whole community in past 3 months. The community becomes more open for
discussion around the roadmap, various features that committers are working
on, infrastructure enhancements for the project.

2. One talk at trust cloud computing summit
* Apache HAWQ: The leading SQL-on-Hadoop Query Engine.
  (http://www.cnii.com.cn/technology/img/4598.files/yicheng.html)

3. Two meetups: Data Science at Scale with HAWQ and MADlib and Hadoop
* https://www.meetup.com/Data-Engineers-Guild/events/233974633/
* https://www.meetup.com/futureofdata-siliconvalley/events/232976650/

How has the project developed since the last report?

1. The release candidate (Apache HAWQ 2.0.0.0-incubating RC4) has been
proposed and the voting process on the dev mailing list completed. The main
target of the first release is to clear all IP related issues for HAWQ and
this is a source code tarball only release. Full list of JIRAs fixed/related
to the release: link
<https://cwiki.apache.org/confluence/display/HAWQ/HAWQ+Release+2.0.0.0-incubat
ing>

2. New features added include

* snappy compression for AO tables
* HAWQ register feature for registering data into HAWQ native tables
* PXF - JSON support (https://issues.apache.org/jira/browse/HAWQ-178)


Date of last release:

We have not had a release yet.


When were the last committers or PMC members elected?

Add one committer in September: Kavinder Dhaliwal


Signed-off-by:

 [ ](hawq) Alan Gates
 [x](hawq) Konstantin Boudnik
 [ ](hawq) Justin Erenkrantz
 [ ](hawq) Thejas Nair
 [X](hawq) Roman Shaposhnik


Shepherd/Mentor notes:

(rvs) Now that the first release of HAWQ has officially been published, I
believe the community has unblocked itself and will be running in high gear.
Looking forward to a cadence of releases and community expansion.

20 Jul 2016

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and
convenience of Hadoop. HAWQ reads data from and writes data to HDFS
natively.  HAWQ delivers industry-leading performance and linear
scalability. It provides users the tools to confidently and successfully
interact with petabyte range data sets. HAWQ provides users with a complete,
standards compliant SQL interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

 1. Produce our first Apache Release
 2. Expand the community, by adding new contributors and focusing on making
    sure that there's a much more robust level of conversations and
    discussions happening around roadmaps and feature development on the
    public dev mailing list
 3. Infrastructure migration: create Jenkins projects that build HAWQ
    binary, source tarballs, and run feature tests including at least
    installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 Everything seems to be smooth, nothing urgent at this time.

How has the community developed since the last report?

 1. we have seen significant increase of communication and collaboration
    across the whole community from last several weeks. The community
    becomes more open for discussion around the roadmap, various features
    that committers are working on, and infrastructure enhancements for the
    project.
 2. One meetup: Zeppelin meets MADlib & HAWQ
    (https://www.youtube.com/watch?v=p8V10IukBes&list=PL62pIycqXx-Qf6EXu5FDxUgXW23BHOtcQ&index=6)
 3. The PPMC was made aware of an erroneous use of Apache HAWQ (incubating)
    trademark by a vendor doing research with an older, eponymous Pivotal
    product. The PPMC is working with a vendor and ASF's VP of Branding to
    resolve the issue.

How has the project developed since the last report?

 1. The first release candidate has been proposed and it is under the
    voting process on the dev mailing list
 2. New features added include snappy compression for AO tables, HAWQ
    register feature for registering data into HAWQ native tables
 3. The build system has been simplified a lot by making some components as
    optional (for example, pl/r, orca et al)
 4. The community is consolidating the testing frameworks including
    installcheck tests and gtest into gtest based framework.
 5. Including the incubating disclaimer on Apache HAWQ website based on the
    podling branding guidelines

Date of last release:

 We have not had a release yet.

When were the last committers or PMC members elected?

 No new committers/members from initial.

Signed-off-by:

 [X](hawq) Alan Gates
 [ ](hawq) Konstantin Boudnik
 [ ](hawq) Justin Erenkrantz
 [ ](hawq) Thejas Nair
 [X](hawq) Roman Shaposhnik

Shepherd/Mentor notes:

 Roman Shaposhnik:

   I'm happy to report that the trademark violation incident was taken care
   of by the offending party quite to the delight of HAWQ's PMC.

20 Apr 2016

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and
convenience of Hadoop. HAWQ reads data from and writes data to HDFS
natively.  HAWQ delivers industry-leading performance and linear
scalability. It provides users the tools to confidently and successfully
interact with petabyte range data sets. HAWQ provides users with a complete,
standards compliant SQL interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

 1. Produce our first Apache Release
 2. Expand the community, by adding new contributors and focusing on making
    sure that there's a much more robust level of conversations and
    discussions happening around roadmaps and feature development on the
    public dev mailing list
 3. Infrastructure migration: create Jenkins projects that build HAWQ
    binary, source tarballs, and run feature tests including at least
    installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 Everything seems to be smooth, nothing urgent at this time.

How has the community developed since the last report?

 1. One HAWQ Nest community meeting (topic: GPORCA: Query Optimization as a
    Service) Video: http://bit.ly/HAWQNest0223yt
 2. The community shows pretty high activities. In Dev, there have been 816
    messages on dev@/user@ in March 2016.
 3. Got around 29 pull requests from contributors that are not in the
    initial committer team.
 4. GSoC 2016: 6 topics created for it.
 5. FOSDEM 2016 event:
    https://fosdem.org/2016/schedule/event/hpc_bigdata_hadoopsql/
    https://s.apache.org/BYMR

How has the project developed since the last report?

 1. Main features/improvements added include:
    a) Hawq-473 Add fault reason and history into hawq catalog
    b) HAWQ-404 Add sort during INSERT of append only row oriented
       partition tables
    c) HAWQ-558 Improve performance of truncate on small tables
    d) HAWQ-532 HAWQ-580 HAWQ-587 Enhance the virtual segment number
       selection method
    e) HAWQ-551 Enhance explain analyze with more information on data
       locality and resource manager
    f) HAWQ-546 Enhance \d for HCatalog tables
    g) HAWQ-144 Support HAWQ build on MAC
    h) HAWQ-597 Add Travis CI(OSX) for MAC
    i) Critical bug fixes.
 2. 135 new JIRAs filed, 116 resolved (In Mar 2016)
 3. 134 code commits (In Mar 2016)

Date of last release:

 We have not had a release yet.

When were the last committers or PMC members elected?

 No new committers/members from initial.

Signed-off-by:

 [](hawq) Alan Gates
 [](hawq) Konstantin Boudnik
 [](hawq) Justin Erenkrantz
 [](hawq) Thejas Nair
 [X](hawq) Roman Shaposhnik

Shepherd/Mentor notes:

 Justin Mclean (jmclean):

   A couple on minor issues around communication on list and releases but
   mentors are on top on it.

20 Jan 2016

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and
convenience of Hadoop. HAWQ reads data from and writes data to HDFS
natively.  HAWQ delivers industry-leading performance and linear
scalability. It provides users the tools to confidently and successfully
interact with petabyte range data sets. HAWQ provides users with a complete,
standards compliant SQL interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

 1. Produce our first Apache Release
 2. Expand the community, increase dev list activity and adding new
    contributors
 3. Infrastructure migration: create Jenkins projects that build HAWQ
    binary, source tarballs and docker images, and run feature tests
    including at least installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 Everything seems to be smooth, nothing urgent at this time.

How has the community developed since the last report?

 1. One HAWQ Nest community meeting (topic: Data Federation with Apache
    HAWQ Using the PXF Extension Framework)
    Video: http://bit.ly/HAWQNest1217, Slides: http://bit.ly/HAWQNest1217ss
 2. The community shows increasing activities. In Dev, there have
    been 494 messages on dev@/user@, compared with 459 messages in Nov.

How has the project developed since the last report?

 1. Main features/improvements added include:
    a) Improve recovery performance during some exception cases (HAWQ-241,
       HAWQ-232)
    b) Support writable external table executing on a specified number of
       virtual segment (HAWQ-293)
    c) Improve HAWQ resource manager resource allocation algorithm and RPC
       framework (HAWQ-234)
    d) Support fault injector in 2.0 (HAWQ-288)
    e) Clean up some IP and build related issues (HAWQ-277, HAWQ-186,
       HAWQ-184, HAWQ-228)
    f) Some key bug fixes for 2.0 Beta
 2. 2.0 Beta RC2 was proposed
 3. 98 new JIRAs filed, 59 resolved (In Dec 2015)
 4. 82 code commits (In Dec 2015)

Date of last release:

 We have not had a release yet.

When were the last committers or PMC members elected?

 No new committers/members from initial.

Signed-off-by:

 [X](hawq) Alan Gates
 [x](hawq) Konstantin Boudnik
 [x](hawq) Justin Erenkrantz
 [](hawq) Thejas Nair
 [x](hawq) Roman Shaposhnik

Shepherd/Mentor notes:

 Justin Erenkrantz:

   There has been good progress on improving the licensing situation
   (HAWQ-271) as well as conversations about what it means to be a
   contributor (yielding
   https://cwiki.apache.org/confluence/display/HAWQ/Becoming+a+committer).
   All good and healthy so far.

 Konstantin Boudnik (cos):

   Same comment as for Geode: the report is almost copy-cut from one another
   (if not in the letter, but in the spirit). Did you guys had anything worth
   mentioning besides of new features and bug fixes? Like Justin mentioned
   above - that what is very important for the project development.

16 Dec 2015

Apache HAWQ is a Hadoop native SQL query engine that combines the key
technological advantages of MPP database with the scalability and
convenience of Hadoop. HAWQ reads data from and writes data to HDFS
natively.  HAWQ delivers industry-leading performance and linear
scalability. It provides users the tools to confidently and successfully
interact with petabyte range data sets. HAWQ provides users with a complete,
standards compliant SQL interface.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

 1. Produce our first Apache Release
 2. Expand the community, increase dev list activity and adding new
    contributors
 3. Infrastructure migration: create Jenkins projects that build HAWQ
    binary, source tarballs and docker images, and run feature tests
    including at least installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 Everything seems to be smooth, nothing urgent at this time.

How has the community developed since the last report?

 1. All core contributors/committers have started working on Apache
    repository
 2. One HAWQ Nest community meeting (topic: HAWQ architecture introduction)
 3. Both user & dev community show increasing interests. In Nov, there have
    been 438 messages on dev@ and 75 on user@, compared with 357 messages
    on dev@ and 21 messages on user@ in Oct.

How has the project developed since the last report?

 1. Main features/improvements added include:
    a) Support HA for libyarn [HAWQ-38]
    b) Dynamic statement level resource usage [HAWQ-47]
    c) Support Kerberos for libyarn [HAWQ-51]
    d) Dependent component version upgrade & Bug fixes & documentation
       improvement
 2. First release has been proposed and most issues have been finished (115
    issues resolved in the release). (<http://s.apache.org/T3P>)
    Left thing is to do the PPMC & IPMC voting)
 3. 85 new JIRAs filed, 74 resolved (In Nov 2015)
 4. 76 code commits (In Nov 2015)

Date of last release:

 We have not had a release yet.

When were the last committers or PMC members elected?

 No new committers/members from initial.

Signed-off-by:

 [X](hawq) Alan Gates
 [X](hawq) Konstantin Boudnik
 [ ](hawq) Justin Erenkrantz
 [ ](hawq) Thejas Nair
 [X](hawq) Roman Shaposhnik

Shepherd/Mentor notes:

18 Nov 2015

HAWQ is an advanced enterprise SQL on Hadoop analytic engine built around a
robust and high-performance massively-parallel processing (MPP) SQL
framework evolved from Pivotal Greenplum Database.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

 1. Produce our first Apache Release
 2. Expand the community, increase dev list activity and adding new
    committers/pmc members
 3. Infrastructure migration: create Jenkins projects that build HAWQ
    binary, source tarballs and docker images, and run feature tests
    including at least installcheck-good tests for each commit (HAWQ-127).

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 We have only just started the incubation, everything seems to be smooth,
 nothing urgent at this time.

How has the community developed since the last report?

 1. Most of the core contributors/committers have started working on Apache
    repository
 2. One Meetup for HAWQ hosted by "Big Data Community" in Beijing.
 3. The community is active with the development of the project. In Oct,
    There have been 357 messages on dev@. and 21 messages on user@,
    compared with 95 messages in total last month.
 4. Community shows interests to integrate HAWQ with systems in the
    ecosystem.

How has the project developed since the last report?

 1. First release has been proposed and targeted in Nov
    (<http://s.apache.org/p4L6>)
 2. 95 JIRAs filed, 46 open, 30 resolved, 19 closed (In Oct 2015)
 3. 58 code commits (In Oct 2015)

Date of last release:

 We have not had a release yet.

When were the last committers or PMC members elected?
 No new committers/members from initial.

Signed-off-by:

 [X](hawq) Alan Gates
 [X](hawq) Konstantin Boudnik
 [X](hawq) Justin Erenkrantz
 [X](hawq) Thejas Nair
 [X](hawq) Roman Shaposhnik

Shepherd/Mentor notes:

21 Oct 2015

HAWQ is an advanced enterprise SQL on Hadoop analytic engine built around a
robust and high-performance massively-parallel processing (MPP) SQL framework
evolved from Pivotal Greenplum Database.

HAWQ has been incubating since 2015-09-04.

Three most important issues to address in the move towards graduation:

 1. Produce our first Apache Release
 2. Finalize infrastructure Migration and ICLAs from committers
 3. Expand the community, increase dev list activity and adding new
    committers/pmc members

Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
aware of?

 We have only just started the incubation, everything seems to be starting
 up, nothing urgent at this time.

How has the community developed since the last report?

 This is our first report, after having been approved for incubation roughly
 2 wks ago.

 1. Most of the core contributors have completed their ICLA's and have
    established apache ids.
 2. Several presentations and meetups at ApacheCon EU and Strata aimed at
    growing interest in the project
 3. Formal announcements from Pivotal and press briefings related to the
    move of the project into Apache aimed at growing awareness and interest
    in the project.
 4. Outreach to parties that have expressed interest previously in our open
    source initiatives
 5. Still very much at the early stages of community development, we're just
    starting to get rolling.

How has the project developed since the last report?

 This is our first report, after having been approved for incubation roughly
 2 wks ago.

 1. Initial code drop has been provided to Apache
 2. Core infrastructure has been setup including: mailing lists, git, jira,
    wiki, website
 3. 62 messages on our developer list, 3 messages on our user list
 4. 16 jiras filed, 10 open, 1 reopened, 4 resolved, 1 closed - 1 issue
    unassigned
 5. 7 commits in total, including initial commit
 6. Most discussed items on the mailing list:
     - addressing issues with getting jira configured to allow issues to be
       assigned to users
     - discussion of usage of alternate communication channels, e.g. chat.
     - discussion of RTC vs CTR models for dev process

Date of last release:

 We have not had a release yet.

When were the last committers or PMC members elected?

 Most of the initial list of committers have been onboarded, but there are
 still a few more outstanding.  We have not yet added any new members on top
 of the initial committer list.

Signed-off-by:

 [X](hawq) Alan Gates
 [x](hawq) Konstantin Boudnik
 [x](hawq) Justin Erenkrantz
 [ ](hawq) Owen O'Malley
 [ ](hawq) Thejas Nair
 [ ](hawq) Roman Shaposhnik

Shepherd/Mentor notes: