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This was extracted (@ 2017-08-16 20:10) 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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MRQL

16 Aug 2017

Report was filed, but display is awaiting the approval of the Board minutes.

15 Mar 2017

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark,
Flink, and Storm.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list activity

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

 None

How has the community developed since the last report?

 One new MRQL committer was accepted since our last report.  He developed
 the new evaluation mode for MRQL that runs on top of Apache Storm.

How has the project developed since the last report?

 There was very little activity on JIRA since our last report.  The
 resolved issues on JIRA included various bug fixes and performance
 improvements.

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
 [ ] Nearing graduation
 [ ] Other:

Date of last release:

 2016-03-02

When were the last committers or PPMC members elected?

 2016-12-22

Signed-off-by:

 [X](mrql) Alan Cabrera
    Comments:
 [ ](mrql) Edward J. Yoon
    Comments:
 [ ](mrql) Mohammad Nour El-Din
    Comments:

21 Dec 2016

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark,
and Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

 None

How has the community developed since the last report?

 There was one new developer who developed the new evaluation mode for
 MRQL that runs on top of Apache Storm. There were no new committers
 since our last report.

How has the project developed since the last report?

 A new evaluation mode for MRQL queries was developed based on Apache
 Storm (using the Trident API). MRQL can now process stream queries on
 a single stream using Storm, but will be soon be extended to support
 multiple streams.

Date of last release:

 2016-03-02

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Edward J. Yoon
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

 Alan Cabrera:

   Not a huge amount of activity but at least there's a small consistent
   trickle.  I think that the fact that someone was interested in adding an
   Apache Storm adapter speaks somewhat to the viability of the project.

19 Oct 2016

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list activity

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

No

How has the community developed since the last report?

There were no new developers or new committers since our last report.

How has the project developed since the last report?

There were 8 JIRA issues reported during this period, from which 7 have
already been resolved. The main work during this period was on algebra-based
and source-level debugging of MRQL queries. Basically, results from an MRQL
query are annotated with lineage information, which links each result value
with the input data that were used to calculate the value. Given a result
value, our debugger not only can print the input values that contributed to
the result value, but can also display the detailed workflow that was used to
calculate this value (how-to provenance). In contrast other data-centric
debuggers, such as Titian for Spark, our debugger supports on-line browsing
and searching using GUIs and can work on all MRQL supported platforms
(map-reduce, Spark, Flink, and Hama). It also allows to insert trace points in
the query source to debug the query at the source level. We hope that this
debugger will be a valuable tool for developing and understanding MRQL
queries.

Date of last release:

 2016-03-02

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [X](mrql) Edward J. Yoon
 [ ](mrql) Mohammad Nour El-Din

15 Jun 2016

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

 None

How has the community developed since the last report?

 There were no new developers or new committers since our last report.

How has the project developed since the last report?

 We had a new release on March 2nd. It included various bug fixes and
 performance improvements. The most important new feature in the new
 release is support for incremental query processing in MRQL streaming,
 called Incremental MRQL. There was very little activity on JIRA after the
 release (only 4 JIRA issues were reported and fixed).

Date of last release:

 2016-03-02

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [ ](mrql) Alan Cabrera
 [x](mrql) Edward J. Yoon
 [ ](mrql) Mohammad Nour El-Din

16 Mar 2016

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

None

How has the community developed since the last report?

There were no new developers or new committers since our last report.

How has the project developed since the last report?

We have released our fourth release under Apache incubation. There were
various bug fixes and performance improvements before the release. The
most important new feature in the new release is support for incremental
query processing in MRQL streaming, called Incremental MRQL.

Date of last release:

 2016-03-02

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [ ](mrql) Alan Cabrera
 [x](mrql) Edward J. Yoon
 [ ](mrql) Mohammad Nour El-Din

16 Dec 2015

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

 None

How has the community developed since the last report?

 There were no new developers or new committers since our last report.
 There are 3 new UTA students who are planning to contribute to the MRQL
 projects as part of their Master's thesis in Spring'16, but they have not
 participated in the MRQL community yet. We hope to get more
 contributions/committers from the Flink and Spark communities to help us
 fine-tune the MRQL evaluation engine on these platforms.

How has the project developed since the last report?

 Very little activity on JIRA since the last report (only 2 issues reported
 that were both fixed). One of the JIRA issues was related to a major
 extension to MRQL to support incremental query processing (to convert any
 stream-based MRQL query to an incremental query that merges the previous
 query results with the results of applying the query to the new data
 batches only). This was based on an idea presented at ApacheCon'15 as a
 future plan for MRQL. It works on Spark Streaming mode for now, but it
 will soon support Flink Streaming too.

Date of last release:

 2015-02-25

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [ ](mrql) Alan Cabrera
 [X](mrql) Edward J. Yoon
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

16 Sep 2015

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

 None

How has the community developed since the last report?

 There were no new developers or new committers since our last report, but
 the project got contributions from a non-committer (from the Flink
 community).

How has the project developed since the last report?

 During the last three months, 5 Jira issues were reported, from which 4
 were fixed. Most of these issues were related to MRQL query evaluation in
 Flink and Hama modes running on Yarn.

Date of last release:

 2015-02-25

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [x](mrql) Alan Cabrera
 [x](mrql) Edward J. Yoon
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

 Alan Cabrera (adc):

   Things seem to be chugging along nicely.  The community is not the size
   of Apache Hadoop, but it's moving in the right direction.

17 Jun 2015

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list activity

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

None

How has the community developed since the last report?

There were no new developers or new committers since our last report.
We have presented our project at ApacheCon NA in April. The talk was
well-attended and some developers from other Apache projects expressed
some interest in collaboration, which resulted in discussions at the
dev@mrql list and new JIRA issues.

How has the project developed since the last report?

We have created a GitHub mirror and synchronized it with the existing
Apache git repository and with JIRA. The GitHub mirror allows to
merge git branches easier and provides a better integration with JIRA.
We have added more features to MRQL Streaming (such as, new input
stream formats) and have fixed various bugs.

Date of last release:

 2015-02-25

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

There are members of MRQL who are enthusiastic about keeping the
project around and have taken steps to attract new committers to the
project.

18 Mar 2015

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

 none

How has the community developed since the last report?

 There were no new developers or new committers since our last report.  We
 are scheduled to present our project at ApacheCon North America in April.
 We hope that this presentation will attract new developers and users to
 our project and will open new opportunities for collaboration with other
 Apache projects.

How has the project developed since the last report?

 We have released our third release under Apache incubation. We have
 introduced a major extension to MRQL, called MRQL streaming, that supports
 continuous MRQL queries on streams of data. It currently works on Spark
 Streaming but we are planning to add support for Flink Streaming in the
 future.

Date of last release:

 2015-02-25

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

 Drew Farris (drew):

    One active mentor this month. There was some delay in obtaining
    sufficient PPMC/IPMC votes on this month's release. The project
    currently appears to have a single active developer, however I concur
    with the comments on potential community growth as indicated in the
    report. It looks like things are headed in the appropriate direction to
    attract new users and developers. Congratulations on the release.

21 Jan 2015

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. Increase the number of active committers
 2. Increase adoption, expand user community, and increase user list
    activity

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

 The project is not making much progress on the level of increasing the
 number of active committers and expanding the users community.

 This is already being discussed inside the project community and the main
 active committer asked to give the project more few months as he will try
 spreading the word more about the project through some public events

How has the community developed since the last report?

 None

How has the project developed since the last report?

 During the last three month, 12 jira issues were reported, from which 10
 were fixed. Most of these issues were related to MRQL query evaluation in
 Flink mode. Finally, we have set up MRQL on ASF Jenkins, which is a CI
 server that continuously checks the integrity of our builds and validates
 our tests.

Date of last release:

 2014-06-26

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Alex Karasulu
 [X](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

 Konstantin Boudnik (cos):

   Very light email list traffic compare to prev. month. Mentors are
   active.

17 Dec 2014

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. increase the number of active committers
 2. increase adoption, expand user community, and increase user list
    activity

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

none

How has the community developed since the last report?

There were no new developers or new committers since our last reports.

How has the project developed since the last report?

During the last three month, 12 jira issues were reported, from which
10 were fixed. Most of these issues were related to MRQL query
evaluation in Flink mode. Finally, we have set up MRQL on ASF
Jenkins, which is a CI server that continuously checks the integrity
of our builds and validates our tests.

Date of last release:

 2014-06-26

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [ ](mrql) Alan Cabrera
 [ ](mrql) Anthony Elder
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

 Podling looks very healthy.

17 Sep 2014

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and
Flink.

MRQL has been incubating since 2013-03-13.

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

 1. increase the number of active committers
 2. increase adoption, expand user community, and increase user list
    activity

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

none

How has the community developed since the last report?

We have released our second release under Apache incubation. After we
added Apache Flink as an evaluation backend for MRQL, there was an
interest by the Flink community in our project, which may result in
collaboration between the projects and may expand our user community.

How has the project developed since the last report?

We have added support for Apache Flink. Now users can run MRQL queries
on a Yarn cluster using 4 different backends (Hadoop map-reduce, Hama,
Spark, and Flink), without having to change their queries.

Date of last release:

 2014-06-26

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Anthony Elder
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

jmclean: Mentors active and project healthy. Project has discussed
        graduation but feels it needs more active committers.

18 Jun 2014

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, and Spark.

MRQL has been incubating since 2013-03-13.

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

 1. increase adoption, expand user community, and increase user list
    activity
 2. have at least one more incubator release

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

 none

How has the community developed since the last report?

 A new PMC member was elected, Moon Soo Lee. The company DataSayer and the
 project Zeppelin (zeppelin-project.org) are now using MRQL.

How has the project developed since the last report?

 We have switched to Junit for query testing, instead of evaluating queries
 from files using plain Java code. New tests were introduced and some bugs
 were corrected based on these tests.

Date of last release:

 2013-10-31

When were the last committers or PMC members elected?

 2014-04-17

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Anthony Elder
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

19 Mar 2014

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, and Spark.

MRQL has been incubating since 2013-03-13.

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

 1. increase adoption, expand user community, and increase user list
    activity
 2. recruit more developers, committers, and PMCers
 3. have at least one more incubator release

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

 none

How has the community developed since the last report?

 Nothing to report. No new developers. No new committers.

How has the project developed since the last report?

 Ported MRQL to Yarn. Added support for Spark 0.9.0.
 Improved the MRQL build process in many ways.
 Changed the run scripts to construct assembly jars at runtime.

Date of last release:

 2013-10-31

When were the last committers or PMC members elected?

 2013-03-13

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Anthony Elder
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd/Mentor notes:

 Roman Shaposhnik (rvs):

   A reasonably sized community. Given that it has been incubating for
   about a year now, I'd encourage graduation activity. A few more releases
   would be a good first step.

18 Dec 2013

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop, Hama, and Spark.

MRQL has been incubating since 2013-03-13.

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

 1. recruit more users, developers, committers and PMCers
 2.
 3.

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

 none

How has the community developed since the last report?

 We have released our first release.

How has the project developed since the last report?

 Extended the interface between the query translator and the run-time
 evaluation engine to make query evaluation on Spark more efficient.

Date of last release:

 2013-10-31

When were the last committers or PMC members elected?

 2013-03-13

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Anthony Elder
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd notes:

 Dave Fisher (wave):

   This podling achieved one benchmark towards successful incubation - a
   release.

   When commits and mailing list activity are reviewed this looks like a
   tiny community with only a single developer and some administrative
   support.

   I am not sure if this another example of a community that is mostly from
   a single corporation and is doing all of the work outside and
   contributing it through one person with off-list decision making and
   communication. If so then the mentors need to look into it and get the
   real decision making process in public.

   There is a user ML, but the only email ever on that list was the release
   announcement.

18 Sep 2013

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop and Hama.

MRQL has been incubating since 2013-03-13.

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

 1. Complete the first release
    a) Ensure proper transfer of code
    b) Verify distribution rights

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

 none

How has the community developed since the last report?

 We have already addressed most issues that prevented us from releasing our
 first release, which we now expect to take place in the next few weeks.  We
 believe that, after we make the first release available, we will get many
 new users and contributors.

How has the project developed since the last report?

 We have switched to maven as our project management tool. We refactored the
 source tree to make it compliant to maven; we created maven modules for
 compilation; we used the maven assembly plugin to create binary and source
 release artifacts; we updated the MRQL wiki page accordingly (getting
 started, how to contribute/build/commit). We have sent a request to the ASF
 Infrastructure to setup our project in Nexus so that we can deploy our
 snapshots there. We need also to verify the copyright information. As soon
 as we get these two tasks done, we will upload our first release on Nexus
 and stage it for vote.

Date of last release:

 none yet

When were the last committers or PMC members elected?

2013-03-13

Signed-off-by:

 [X](mrql) Alan Cabrera
 [ ](mrql) Anthony Elder
 [ ](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd notes:

 (rvs) Project looks reasonably well off -- no major surprises. I was a
 little bit surprised by a very low JIRA activity but on the other hand
 they've got an exemplary Wiki and ML traffic is not too shabby either.

17 Jul 2013

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop and Hama.

MRQL has been incubating since 2013-03-13.

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

 1. Complete the first release
    a) Ensure proper transfer of code
    b) Verify distribution rights
 2. Use maven as our project management tool

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

 none

How has the community developed since the last report?

 No new PPMC members or committers added since last report, We are still
 working on our first release. We believe that, as soon as we make the first
 release available, many users will start using the system and will become
 new contributors.

How has the project developed since the last report?

 We have sent a request to trademarks@apache.org to review and verify our
 searches that establish that "Apache MRQL" is a suitable name.  More
 specifically, our US and EU trademark searches, and a Google search, show
 that the project name MRQL does not conflict with a previously registered
 trademark.  We are now in the process of completing the MRQL codebase to
 make it ready for the first release. There are two component missing that
 delay this release: switching to maven as our project management tool and
 verifying copyright information.

Date of last release:

 none yet

Signed-off-by:

 [X](mrql) Alan Cabrera
 [X](mrql) Alex Karasulu
 [ ](mrql) Mohammad Nour El-Din

Shepherd notes:

19 Jun 2013

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop and Hama.

MRQL has been incubating since 2013-03-13.

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

 1. Complete the first release
   a) Ensure proper transfer of code
   b) Verify distribution rights
 2. Establish whether "Apache MRQL" is a suitable name

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

none

How has the community developed since the last report?

We have posted a project description on the HadoopSphere blog, which
initiated some discussion and interest. Since the last report, there
was little activity in recruiting new users and developers, but we are
very close to completing the first release. We believe that, as soon
as we make the first release available, many users will start using
the system, will request bug fixes, improvements, and additional
functionality, and will become new contributors.

How has the project developed since the last report?

We are in the process of completing the MRQL codebase to make it ready
for the first release, which we expect to take place in the next few
weeks. The only major component missing that delays this release is
switching to maven as our project management tool. We believe that
using maven is important because it will facilitate contributions by
(and recruitment of) committers and will ease version management. The
reasons for the delay are: 1) no one of the current developers has
prior experience with maven 2) the codebase is non-standard because it
uses non-standard tools to generate Java code.

Date of last release:

none yet

Please check this [ ] when you have filled in the report for MRQL.

Signed-off-by:
Alan Cabrera: [X](mrql)
Anthony Elder: [ ](mrql)
Alex Karasulu: [ ](mrql)
Mohammad Nour El-Din: [X](mrql)


Shepherd notes:

15 May 2013

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop and Hama.

MRQL has been incubating since 2013-03-13.

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

 1. Expand the development community to include more diverse committers
 2. Complete the first release
 3. Improve query performance on large clusters

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

none

How has the community developed since the last report?

We are in the process of completing the infrastructure for the MRQL
podling. We have created a new wiki site for MRQL that includes a
detailed developer documentation, which includes a guide to potential
committers on how to contribute to the MRQL project, gives a detailed
roadmap of the codebase, and lists the future release plans. This wiki
also contains user documentation of the MRQL query language. We have
also created a JIRA site for MRQL. So far we have created 9 JIRA
issues, some of them related to infrastructure improvement, from which
6 have already been resolved.

How has the project developed since the last report?

The existing code has been substantially modified in many ways to
facilitate contributions by committers. The codebase now includes a
testbed of queries to automatically test various aspects of the
system. We are now in the process of refactoring the code based on our
coding guidelines and of using maven as our project management tool.

Please check this [ ] when you have filled in the report for MRQL.

Signed-off-by:
Alex Karasulu: [X](mrql)
Anthony Elder: [ ](mrql)
Alan Cabrera: [X](mrql)
Mohammad Nour El-Din: [ ](mrql)


Shepherd notes:

17 Apr 2013

MRQL is a query processing and optimization system for large-scale,
distributed data analysis, built on top of Apache Hadoop and Hama.

MRQL has been incubating since 2013-03-13.

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

 1. Expand the development community to include more diverse committers
 2. Complete the first release
 3. Create a wiki to document both the software use and the software
 development process

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

none

How has the community developed since the last report?

This is the first report for MRQL.  We have decided to adopt the
review-then-commit policy that requires at least two +1 from
committers and no -1 from committer.  In addition, we have started the
process of creating a new infrastructure for the MRQL podling. We have
already created three email lists, mrql-private, mrql-dev, and
mrql-user, and we have requested the creation of a new JIRA project
and a new wiki site for MRQL.

How has the project developed since the last report?

We have restructured the original source code and we have modified the
in-file copyright notices of the source code to be compliant with the
Apache License 2.0, to make it ready for the first release.

Please check this [ ] when you have filled in the report for MRQL.

Signed-off-by:
Alex Karasulu: [ X ](mrql)
Anthony Elder: [ ](mrql)
Alan Cabrera: [ ](mrql)
Mohammad Nour: [ ](mrql)

Shepherd notes: