Re: [VOTE] Accept Amaterasu into the Apache Incubator

2017-05-02 Thread Jean-Baptiste Onofré 

Hi guys,

I plan to close the vote today. Please, if you want to vote, do it asap.

Thanks !
Regards
JB

On 04/16/2017 08:20 PM, Jean-Baptiste Onofré wrote:

Hi all,

following the discussion thread, I think we can start the vote on accepting
Amaterasu into the Apache Incubator.

The ASF voting rules are described:

http://www.apache.org/foundation/voting.html

A vote for accepting a new Apache Incubator podling is a majority vote for which
only Incubator PMC member votes are binding.

This vote will run for at least 72 hours. Please VOTE as follows
[] +1 Accept Amaterasu into the Apache Incubator
[] +0 Abstain.
[] -1 Do not accept Amaterasu into the Apache Incubator because ...

The proposal is listed below, but you can also access it on the wiki:

   https://wiki.apache.org/incubator/AmaterasuProposal

Note that we are looking for one more mentor on the proposal.
One concern has been raised about the "Amaterasu" name. We want to move forward
with Amaterasu name but open to change if needed.

Thanks
Regards


--
Jean-Baptiste Onofré
jbono...@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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Edit access

2017-05-02 Thread Brock Noland 
Can you give brocknoland edit access to the wiki?

Re: [VOTE]: Apache Weex-incubating Release 0.12.0-RC3

2017-05-02 Thread Niclas Hedhman 
+1

On Tue, May 2, 2017 at 1:49 PM, sospartan  wrote:

> Hi all,
> I'll calling a vote for Weex-incubating 0.12.0-RC3 release.
>
> The PPMC vote for this release has passed:
> https://lists.apache.org/thread.html/c5514c86433e3551cae00b21a77a14
> 07ee20846f6565f9701d78c85b@%3Cdev.weex.apache.org%3E
>
> The tag to be voted upon:
> https://git-wip-us.apache.org/repos/asf?p=incubator-weex.git
> ;a=shortlog;h=refs/tags/0.12.0-rc3
>
> The commit hash:
> https://git-wip-us.apache.org/repos/asf?p=incubator-weex.git;a=commit;h=
> 702d04c4922105069f537afdb4688f808530994d
>
> The source tarball can be found at:
> https://dist.apache.org/repos/dist/dev/incubator/weex/0.12.
> 0-incubating/RC3/
>
> The fingerprint of key to sign release artifacts:
> 97B9 6598 A6A3 B63C 53BD  77E9 44C5 2286 22B9 7784
>
> Release artifacts are signed with the following key:
> https://dist.apache.org/repos/dist/dev/incubator/weex/KEYS
>
> Release note about this version:
> https://issues.apache.org/jira/browse/WEEX-26
>
> This vote will remain open for at least 72 hours.
> Please vote on releasing this RC.
>
> [ ] +1 approve
> [ ] +0 no opinion
> [ ] -1 disapprove (and reason why)
>
> --
> Best Regards!
> --
>
> sospartan
> https://weex-project.io
>



-- 
Niclas Hedhman, Software Developer
http://polygene.apache.org - New Energy for Java

Re: [VOTE]: Apache Weex-incubating Release 0.12.0-RC3

2017-05-02 Thread Niclas Hedhman 
As for the Gradle Jar; I gave the go ahead for this release, as I am
pursuing to make Gradle have a single Java file instead of a Jar file, as
this will take some time.

This is known and not of legal concern, and up for interpretation of
policy, which we both agree is not definitive.

Since there is a projected path away from this, I ask you to reconsider.

Cheers
Niclas

On Wed, May 3, 2017 at 8:26 AM, John D. Ament  wrote:

> Sorry but -1 due to binaries in the source release.  I'm not sure if I
> missed these the last go around or what, but they should not be included
> (gradle-wrapper I know was called out before):
>
> ./apache-weex-incubating-0.12.0-src/android/playground/
> gradle/wrapper/gradle-wrapper.jar
> ./apache-weex-incubating-0.12.0-src/android/sdk/gradle/
> wrapper/gradle-wrapper.jar
> ./apache-weex-incubating-0.12.0-src/android/sdk/license/
> license-gradle-plugin-0.12.1.jar
> ./apache-weex-incubating-0.12.0-src/android/sdk/license/
> maven-license-plugin-1.10.b1.jar
> ./apache-weex-incubating-0.12.0-src/android/sdk/license/
> plexus-utils-3.0.24.jar
> ./apache-weex-incubating-0.12.0-src/android/weex_debug/
> gradle/wrapper/gradle-wrapper.jar
> ./apache-weex-incubating-0.12.0-src/android/weex_debug/libs/classes.jar
> ./apache-weex-incubating-0.12.0-src/scripts/apache-rat-0.12.jar
>
> Other things checked:
> - Has DISCLAIMER
> - File name includes incubating
> - NOTICE and LICENSE look right, especially like the name
> POSSIBLE-NOTICES-FOR-BIN-DIST
>
> I have no idea how to build from source, would be good to include that +
> how to run rat in your instructions.  If it weren't for the binary files I
> would vote a +1.
>
> John
>
> On Tue, May 2, 2017 at 1:49 AM sospartan  wrote:
>
> > Hi all,
> > I'll calling a vote for Weex-incubating 0.12.0-RC3 release.
> >
> > The PPMC vote for this release has passed:
> >
> > https://lists.apache.org/thread.html/c5514c86433e3551cae00b21a77a14
> 07ee20846f6565f9701d78c85b@%3Cdev.weex.apache.org%3E
> >
> > The tag to be voted upon:
> > https://git-wip-us.apache.org/repos/asf?p=incubator-weex.git
> > ;a=shortlog;h=refs/tags/0.12.0-rc3
> >
> > The commit hash:
> >
> > https://git-wip-us.apache.org/repos/asf?p=incubator-weex.git;a=commit;h=
> 702d04c4922105069f537afdb4688f808530994d
> >
> > The source tarball can be found at:
> >
> > https://dist.apache.org/repos/dist/dev/incubator/weex/0.12.
> 0-incubating/RC3/
> >
> > The fingerprint of key to sign release artifacts:
> > 97B9 6598 A6A3 B63C 53BD  77E9 44C5 2286 22B9 7784
> >
> > Release artifacts are signed with the following key:
> > https://dist.apache.org/repos/dist/dev/incubator/weex/KEYS
> >
> > Release note about this version:
> > https://issues.apache.org/jira/browse/WEEX-26
> >
> > This vote will remain open for at least 72 hours.
> > Please vote on releasing this RC.
> >
> > [ ] +1 approve
> > [ ] +0 no opinion
> > [ ] -1 disapprove (and reason why)
> >
> > --
> > Best Regards!
> > --
> >
> > sospartan
> > https://weex-project.io
> >
>



-- 
Niclas Hedhman, Software Developer
http://polygene.apache.org - New Energy for Java

Re: [VOTE] Apache SystemML 0.14.0-incubating (RC4)

2017-05-02 Thread John D. Ament 
Some questions about your release:

The following appears in your license:

Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.



All files located in the node_modules and external directories are
externally maintained libraries used by this software which have their
own licenses; we recommend you read them, as their terms may differ from
the terms above.

For the first section, it doesn't seem to reference any files.  Why is it
present?

For the second, I can't find a "node_modules" directory.

In the samples/images directory you have a bunch of files named "bluemix"
which implies IBM Bluemix.  How are these images licensed?

John

On Mon, May 1, 2017 at 12:42 PM Arvind Surve 
wrote:

> Please vote on releasing the following candidate as Apache SystemML
> version 0.14.0-incubating !
>
>
>
> The vote is open for at least 72 hours and passes if a majority of at
> least 3 +1 PMC votes are cast.
> [ ] +1 Release this package as Apache SystemML 0.14.0-incubating[ ] -1 Do
> not release this package because ...
> To learn more about Apache SystemML, please see
> http://systemml.apache.org/
> The tag to be voted on is v0.14.0-incubating-rc4
> (8bdcf106ca9bd04c0f68924ad5827eb7d7d54952)
>
> https://github.com/apache/incubator-systemml/commit/8bdcf106ca9bd04c0f68924ad5827eb7d7d54952
>
> The release artifacts can be found at :
> https://dist.apache.org/repos/dist/dev/incubator/systemml/0.14.0-incubating-rc4/
> The maven release artifacts, including signatures, digests, etc. can
> be found at:
> https://repository.apache.org/content/repositories/orgapachesystemml-1021/org/apache/systemml/systemml/0.14.0-incubating/
>
> PPMC Vote Mail Threadhttps://
> www.mail-archive.com/dev@systemml.incubator.apache.org/msg01611.html
>
> PPMC Vote Results Mailhttps://
> www.mail-archive.com/dev@systemml.incubator.apache.org/msg01690.html
>
>  -Arvind
>  Arvind Surve | Spark Technology Center  | http://www.spark.tc/
>
>

Re: [VOTE]: Apache Weex-incubating Release 0.12.0-RC3

2017-05-02 Thread John D. Ament 
Sorry but -1 due to binaries in the source release.  I'm not sure if I
missed these the last go around or what, but they should not be included
(gradle-wrapper I know was called out before):

./apache-weex-incubating-0.12.0-src/android/playground/gradle/wrapper/gradle-wrapper.jar
./apache-weex-incubating-0.12.0-src/android/sdk/gradle/wrapper/gradle-wrapper.jar
./apache-weex-incubating-0.12.0-src/android/sdk/license/license-gradle-plugin-0.12.1.jar
./apache-weex-incubating-0.12.0-src/android/sdk/license/maven-license-plugin-1.10.b1.jar
./apache-weex-incubating-0.12.0-src/android/sdk/license/plexus-utils-3.0.24.jar
./apache-weex-incubating-0.12.0-src/android/weex_debug/gradle/wrapper/gradle-wrapper.jar
./apache-weex-incubating-0.12.0-src/android/weex_debug/libs/classes.jar
./apache-weex-incubating-0.12.0-src/scripts/apache-rat-0.12.jar

Other things checked:
- Has DISCLAIMER
- File name includes incubating
- NOTICE and LICENSE look right, especially like the name
POSSIBLE-NOTICES-FOR-BIN-DIST

I have no idea how to build from source, would be good to include that +
how to run rat in your instructions.  If it weren't for the binary files I
would vote a +1.

John

On Tue, May 2, 2017 at 1:49 AM sospartan  wrote:

> Hi all,
> I'll calling a vote for Weex-incubating 0.12.0-RC3 release.
>
> The PPMC vote for this release has passed:
>
> https://lists.apache.org/thread.html/c5514c86433e3551cae00b21a77a1407ee20846f6565f9701d78c85b@%3Cdev.weex.apache.org%3E
>
> The tag to be voted upon:
> https://git-wip-us.apache.org/repos/asf?p=incubator-weex.git
> ;a=shortlog;h=refs/tags/0.12.0-rc3
>
> The commit hash:
>
> https://git-wip-us.apache.org/repos/asf?p=incubator-weex.git;a=commit;h=702d04c4922105069f537afdb4688f808530994d
>
> The source tarball can be found at:
>
> https://dist.apache.org/repos/dist/dev/incubator/weex/0.12.0-incubating/RC3/
>
> The fingerprint of key to sign release artifacts:
> 97B9 6598 A6A3 B63C 53BD  77E9 44C5 2286 22B9 7784
>
> Release artifacts are signed with the following key:
> https://dist.apache.org/repos/dist/dev/incubator/weex/KEYS
>
> Release note about this version:
> https://issues.apache.org/jira/browse/WEEX-26
>
> This vote will remain open for at least 72 hours.
> Please vote on releasing this RC.
>
> [ ] +1 approve
> [ ] +0 no opinion
> [ ] -1 disapprove (and reason why)
>
> --
> Best Regards!
> --
>
> sospartan
> https://weex-project.io
>

Re: [VOTE] Release of Apache Mnemonic-0.7.0-incubating [rc1]

2017-05-02 Thread John D. Ament 
+1

On Tue, May 2, 2017 at 6:42 PM Gang(Gary) Wang  wrote:

> Hello incubator PMCs,
>
> The Apache Mnemonic community PPMCs and developers have voted and
> approved the proposal to release Apache Mnemonic 0.7.0 (incubating).
>
> Apache Mnemonic is an advanced hybrid memory storage oriented library,
> it's proposed a non-volatile/durable Java object model and durable
> computing model that bring several advantages to significantly improve
> the performance of massive real-time data processing/analytic.
> developers are able to use this library to design their cache-less and
> SerDe-less high performance applications.
>
> [VOTE] thread:
>
>
> http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CCALuGr6b2HbvKNtvC914JHZs7VNpT4aUBdLSax1GYMQRZki-ZnQ%40mail.gmail.com%3E
>
>
> http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CD52E2CE6.314AC%25uma.gangumalla%40intel.com%3E
>
>
> http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CCANLc_9KrNn3M3%3DAUua7PT-007RNAEBev97%2BW1ZTcFfnfcz1ZdA%40mail.gmail.com%3E
>
>
> http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201704.mbox/%3CCAG7vPRKAZ2tsVZJWCRmR0UZxXc5%2Bb7ozHncpPG2x46KU9KzQvA%40mail.gmail.com%3E
>
>
> http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201704.mbox/%3CCAOgX8szFF2nnj8Si4-BMoP2ofgPMsWBG2Kp%3D0S%2BSzw5Qh2R34A%40mail.gmail.com%3E
>
> [VOTE RESULT] thread:
>
>
> http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CCAOgX8swpm9xaYHR1M9_of57uu_VPzZV04harGYpH4p1ndwKnJg%40mail.gmail.com%3E
>
> We now kindly request the Incubator PMC members review and vote on
> this incubator release.
>
> The Apache Mnemonic-0.7.0-incubating release candidate is now
> available with the following artifacts for a project vote:
>
> The source tarball, including signatures, digests, etc. can be found at:
>
> https://dist.apache.org/repos/dist/dev/incubator/mnemonic/0.7.0-incubating-rc1/src/
>
> The tag to be voted upon is v0.6.0-incubating:
>
> https://git-wip-us.apache.org/repos/asf?p=incubator-mnemonic.git;a=shortlog;h=refs/tags/v0.7.0-incubating
>
> The release hash is 73a2bb7a35ed768b382be2068e0a22a1ced0a67e:
>
> https://git-wip-us.apache.org/repos/asf?p=incubator-mnemonic.git;a=commit;h=73a2bb7a35ed768b382be2068e0a22a1ced0a67e
>
> Release artifacts are signed with the following key:
> https://dist.apache.org/repos/dist/dev/incubator/mnemonic/KEYS
>
> KEYS file available:
> https://dist.apache.org/repos/dist/dev/incubator/mnemonic/KEYS
>
> For information about the contents of this release, see:
>
> https://dist.apache.org/repos/dist/dev/incubator/mnemonic/0.7.0-incubating-rc1/CHANGES.txt
>
> The vote will be open for ~72 hours.
> Please download the release candidate and evaluate the necessary items
> including checking hashes, signatures, build from source, and test.  The
> please vote:
>
> [ ] +1 Release this package as apache-mnemonic-0.7.0-incubating
> [ ] +0 no opinion
> [ ] -1 Do not release this package because...
>
>
> Thanks,
> Gary on behalf of the Apache Mnemonic (incubating) team
>

[VOTE] Release of Apache Mnemonic-0.7.0-incubating [rc1]

2017-05-02 Thread Gang(Gary) Wang 
Hello incubator PMCs,

The Apache Mnemonic community PPMCs and developers have voted and
approved the proposal to release Apache Mnemonic 0.7.0 (incubating).

Apache Mnemonic is an advanced hybrid memory storage oriented library,
it's proposed a non-volatile/durable Java object model and durable
computing model that bring several advantages to significantly improve
the performance of massive real-time data processing/analytic.
developers are able to use this library to design their cache-less and
SerDe-less high performance applications.

[VOTE] thread:

http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CCALuGr6b2HbvKNtvC914JHZs7VNpT4aUBdLSax1GYMQRZki-ZnQ%40mail.gmail.com%3E

http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CD52E2CE6.314AC%25uma.gangumalla%40intel.com%3E

http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CCANLc_9KrNn3M3%3DAUua7PT-007RNAEBev97%2BW1ZTcFfnfcz1ZdA%40mail.gmail.com%3E

http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201704.mbox/%3CCAG7vPRKAZ2tsVZJWCRmR0UZxXc5%2Bb7ozHncpPG2x46KU9KzQvA%40mail.gmail.com%3E

http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201704.mbox/%3CCAOgX8szFF2nnj8Si4-BMoP2ofgPMsWBG2Kp%3D0S%2BSzw5Qh2R34A%40mail.gmail.com%3E

[VOTE RESULT] thread:

http://mail-archives.apache.org/mod_mbox/incubator-mnemonic-dev/201705.mbox/%3CCAOgX8swpm9xaYHR1M9_of57uu_VPzZV04harGYpH4p1ndwKnJg%40mail.gmail.com%3E

We now kindly request the Incubator PMC members review and vote on
this incubator release.

The Apache Mnemonic-0.7.0-incubating release candidate is now
available with the following artifacts for a project vote:

The source tarball, including signatures, digests, etc. can be found at:
https://dist.apache.org/repos/dist/dev/incubator/mnemonic/0.7.0-incubating-rc1/src/

The tag to be voted upon is v0.6.0-incubating:
https://git-wip-us.apache.org/repos/asf?p=incubator-mnemonic.git;a=shortlog;h=refs/tags/v0.7.0-incubating

The release hash is 73a2bb7a35ed768b382be2068e0a22a1ced0a67e:
https://git-wip-us.apache.org/repos/asf?p=incubator-mnemonic.git;a=commit;h=73a2bb7a35ed768b382be2068e0a22a1ced0a67e

Release artifacts are signed with the following key:
https://dist.apache.org/repos/dist/dev/incubator/mnemonic/KEYS

KEYS file available:
https://dist.apache.org/repos/dist/dev/incubator/mnemonic/KEYS

For information about the contents of this release, see:
https://dist.apache.org/repos/dist/dev/incubator/mnemonic/0.7.0-incubating-rc1/CHANGES.txt

The vote will be open for ~72 hours.
Please download the release candidate and evaluate the necessary items
including checking hashes, signatures, build from source, and test.  The
please vote:

[ ] +1 Release this package as apache-mnemonic-0.7.0-incubating
[ ] +0 no opinion
[ ] -1 Do not release this package because...


Thanks,
Gary on behalf of the Apache Mnemonic (incubating) team

RE: [ANNOUNCE] Apache Trafodion 2.1.0-incubating Release

2017-05-02 Thread Dave Birdsall 
This is great news! And thank you, Sandhya, for your devoted service as Release 
Manager for this release.

Dave

-Original Message-
From: Sandhya Sundaresan [mailto:sandhya.sundare...@esgyn.com] 
Sent: Tuesday, May 2, 2017 3:23 PM
To: general@incubator.apache.org
Subject: [ANNOUNCE] Apache Trafodion 2.1.0-incubating Release

On behalf of the Trafodion community, I'm happy to announce  the release of  
Apache Trafodion  (incubating) release 2.1.0.

Apache Trafodion is a webscale SQL-on-Hadoop solution enabling  transactional 
or operational workloads on Hadoop. Trafodion builds on the scalability, 
elasticity, and flexibility of Hadoop. Trafodion extends Hadoop to provide 
guaranteed transactional integrity, enabling new kinds of big data applications 
to run on Hadoop.

More details regarding Apache Trafodion can be found here :
http://trafodion.incubator.apache.org/index.html

The release artifacts can be downloaded here 
https://dist.apache.org/repos/dist/release/incubator/trafodion/apache-trafodion-2.1.0-incubating/
or from the Download page  
in the Apache Trafodion website above .

The change log and release notes can be found here:
http://trafodion.incubator.apache.org/release-notes-2-1-0.html

Highlights include :
 *  The new python installer
  *   Ambari integration and much easier  install option for use on HDP platform
  *   New features, SQL functions and syntax extensions
  *   Performance enhancements
  *   300+ Bug fixes resolved

Documentation:
http://trafodion.incubator.apache.org/documentation.html#a210_Release

Thank you !
Sandhya
For The Apache Trafodion (incubating) Team.


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[ANNOUNCE] Apache Trafodion 2.1.0-incubating Release

2017-05-02 Thread Sandhya Sundaresan 
On behalf of the Trafodion community, I'm happy to announce  the release of  
Apache Trafodion  (incubating) release 2.1.0.

Apache Trafodion is a webscale SQL-on-Hadoop solution enabling  transactional 
or operational workloads on Hadoop. Trafodion builds on the scalability, 
elasticity, and flexibility of Hadoop. Trafodion extends Hadoop to provide 
guaranteed transactional integrity, enabling new kinds of big data applications 
to run on Hadoop.

More details regarding Apache Trafodion can be found here :
http://trafodion.incubator.apache.org/index.html

The release artifacts can be downloaded here
https://dist.apache.org/repos/dist/release/incubator/trafodion/apache-trafodion-2.1.0-incubating/
or from the Download page  
in the Apache Trafodion website above .

The change log and release notes can be found here:
http://trafodion.incubator.apache.org/release-notes-2-1-0.html

Highlights include :
 *  The new python installer
  *   Ambari integration and much easier  install option for use on HDP platform
  *   New features, SQL functions and syntax extensions
  *   Performance enhancements
  *   300+ Bug fixes resolved

Documentation:
http://trafodion.incubator.apache.org/documentation.html#a210_Release

Thank you !
Sandhya
For The Apache Trafodion (incubating) Team.

Re: [RESULT] [VOTE] Superset Proposal for Apache Incubator

2017-05-02 Thread James Mayfield 
Congrats team!

On Tue, May 2, 2017 at 9:54 AM, Jeff Feng  wrote:

> The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
> votes and no -1 votes.  Below are the overall results:
>
> *Binding:*
> Ashutosh Chauhan +1
> Luke Han + 1
> Julian Hyde +1
> Jitendra Pandey +1
> Joe Witt +1
> Ted Dunning +1
> P. Taylor Goetz +1
> Edward Yoon +1
> Jacques Nadeau +1
> Julian Le Dem +1
> Jim Jagielski +1
>
> *Non-Binding:*
> Moon Soo Lee +1
> Naresh Agarwal +1
> Felix Cheng +1
>
> Thank you to everyone who participated in the vote.
>
> Please welcome Superset to the Apache Incubator!
>
> Jeff
>
>
>
> On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:
>
>> Dear Apache Incubator Community,
>>
>> We have updated the Superset proposal
>>  (copied below) for
>> Apache Incubation with an additional mentor (Luke Han -
>> luke@apache.org), and would like to start a vote thread for
>> acceptance into the incubator.
>>
>> Our team is excited to share Superset with the Apache community and we
>> hope for the your continued support!
>>
>> Cheers,
>> Jeff & the Superset Team
>>
>>
>>
>>
>> = Superset =
>>
>> == Abstract ==
>> Superset is an enterprise-ready web application for data exploration,
>> data visualization and dashboarding.
>>
>> == Proposal ==
>> Superset is business intelligence (BI) software that helps modern
>> organizations visualize and interact with their data. Superset enables
>> users explore data from a variety of databases, assemble beautiful
>> dashboards and share their findings.  Superset works neatly with all modern
>> SQL-speaking databases, and integrates with Druid.io to provide real-time,
>> interactive, blazing fast data access to large datasets.
>>
>> == Background ==
>> Data is mission critical. To succeed in this era, organizations need to
>> provide low-friction, intuitive and interactive access to data. It is
>> paramount for knowledge workers to be capable of answering their own
>> questions by querying, exploring and visualizing data.
>>
>> The entire business intelligence industry has pivoted from a model of
>> centralized top-down platforms driven by IT organizations to self-service
>> analytics and agile workflows by any user.  This shift unblocks centralized
>> service bottlenecks for creating data visualizations while also creating an
>> environment that is iterative and fast-moving.  This means that business
>> intelligence software must also be easy and delightful to use.
>> Self-service analytics doesn’t mean that admin and governance features are
>> not needed.
>> Modern BI tools provide fine-grain access controls and auditing
>> capabilities to understand how data is being used.  Superset is a solution
>> that delivers on all of these vectors.
>>
>> The technology stack is also constantly morphing - vendors are struggling
>> to provide cheap, quick and easy solutions to access data.  Business
>> intelligence users are finding existing solutions lacking as these software
>> products either disregard or react slowly to recent game-changing
>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>> React.js and iPython’s Jupyter for instance.
>>
>> == Rationale ==
>> Business intelligence is more relevant today than at any other point in
>> history.  Organizations are currently very limited in options for open
>> source data visualization solutions, especially solutions that are both
>> self-service and enterprise-ready.  Every company informing their decisions
>> with data needs a BI tool.
>>
>> We believe that Superset will be a strong compliment to existing Apache
>> Software Foundation technologies by offering scalable user interactions to
>> distributed storage and computation solutions.  Users will often find that
>> Superset can act as a catalyst for tooling that can visualize the byproduct
>> of data and computation infrastructure.
>>
>> Superset has many key design elements that help fill a gap in current
>> solutions for organizations:
>>  * Easy, low friction access to data through a simple, web-based data
>> exploration interface.  Composing charts and dashboards are intuitive.
>> Eliminating the need to write code or SQL empowers anyone to use it.
>>  * Access to a wide array of rich, interactive data visualization types.
>>  * Enterprise-ready: Integration with different authentication mechanisms
>> and granular permissions centered around actions and data access.
>>  * Realtime & fast: Superset provides realtime analytics at the speed of
>> thought on very large datasets when integrated with Druid.io.
>>  * Broad data access: Consume data out of any SQL-speaking relational
>> database.
>>  * Extensible: Can be extended to talk to many noSQL databases like
>> Apache Drill, Elastic Search, and other popular database engines.
>>  * Fast loading dashboards with configurable web-scale caching.
>>  * Plug-in framework that enables

Re: [RESULT] [VOTE] Superset Proposal for Apache Incubator

2017-05-02 Thread Jim Jagielski 
I still offer to help mentor is desired.

> On May 2, 2017, at 12:54 PM, Jeff Feng  wrote:
> 
> The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
> votes and no -1 votes.  Below are the overall results:
> 
> *Binding:*
> Ashutosh Chauhan +1
> Luke Han + 1
> Julian Hyde +1
> Jitendra Pandey +1
> Joe Witt +1
> Ted Dunning +1
> P. Taylor Goetz +1
> Edward Yoon +1
> Jacques Nadeau +1
> Julian Le Dem +1
> Jim Jagielski +1
> 
> *Non-Binding:*
> Moon Soo Lee +1
> Naresh Agarwal +1
> Felix Cheng +1
> 
> Thank you to everyone who participated in the vote.
> 
> Please welcome Superset to the Apache Incubator!
> 
> Jeff
> 
> 
> 
> On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:
> 
>> Dear Apache Incubator Community,
>> 
>> We have updated the Superset proposal
>>  (copied below) for
>> Apache Incubation with an additional mentor (Luke Han -
>> luke@apache.org), and would like to start a vote thread for
>> acceptance into the incubator.
>> 
>> Our team is excited to share Superset with the Apache community and we
>> hope for the your continued support!
>> 
>> Cheers,
>> Jeff & the Superset Team
>> 
>> 
>> 
>> 
>> = Superset =
>> 
>> == Abstract ==
>> Superset is an enterprise-ready web application for data exploration, data
>> visualization and dashboarding.
>> 
>> == Proposal ==
>> Superset is business intelligence (BI) software that helps modern
>> organizations visualize and interact with their data. Superset enables
>> users explore data from a variety of databases, assemble beautiful
>> dashboards and share their findings.  Superset works neatly with all modern
>> SQL-speaking databases, and integrates with Druid.io to provide real-time,
>> interactive, blazing fast data access to large datasets.
>> 
>> == Background ==
>> Data is mission critical. To succeed in this era, organizations need to
>> provide low-friction, intuitive and interactive access to data. It is
>> paramount for knowledge workers to be capable of answering their own
>> questions by querying, exploring and visualizing data.
>> 
>> The entire business intelligence industry has pivoted from a model of
>> centralized top-down platforms driven by IT organizations to self-service
>> analytics and agile workflows by any user.  This shift unblocks centralized
>> service bottlenecks for creating data visualizations while also creating an
>> environment that is iterative and fast-moving.  This means that business
>> intelligence software must also be easy and delightful to use.
>> Self-service analytics doesn’t mean that admin and governance features are
>> not needed.
>> Modern BI tools provide fine-grain access controls and auditing
>> capabilities to understand how data is being used.  Superset is a solution
>> that delivers on all of these vectors.
>> 
>> The technology stack is also constantly morphing - vendors are struggling
>> to provide cheap, quick and easy solutions to access data.  Business
>> intelligence users are finding existing solutions lacking as these software
>> products either disregard or react slowly to recent game-changing
>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>> React.js and iPython’s Jupyter for instance.
>> 
>> == Rationale ==
>> Business intelligence is more relevant today than at any other point in
>> history.  Organizations are currently very limited in options for open
>> source data visualization solutions, especially solutions that are both
>> self-service and enterprise-ready.  Every company informing their decisions
>> with data needs a BI tool.
>> 
>> We believe that Superset will be a strong compliment to existing Apache
>> Software Foundation technologies by offering scalable user interactions to
>> distributed storage and computation solutions.  Users will often find that
>> Superset can act as a catalyst for tooling that can visualize the byproduct
>> of data and computation infrastructure.
>> 
>> Superset has many key design elements that help fill a gap in current
>> solutions for organizations:
>> * Easy, low friction access to data through a simple, web-based data
>> exploration interface.  Composing charts and dashboards are intuitive.
>> Eliminating the need to write code or SQL empowers anyone to use it.
>> * Access to a wide array of rich, interactive data visualization types.
>> * Enterprise-ready: Integration with different authentication mechanisms
>> and granular permissions centered around actions and data access.
>> * Realtime & fast: Superset provides realtime analytics at the speed of
>> thought on very large datasets when integrated with Druid.io.
>> * Broad data access: Consume data out of any SQL-speaking relational
>> database.
>> * Extensible: Can be extended to talk to many noSQL databases like Apache
>> Drill, Elastic Search, and other popular database engines.
>> * Fast loading dashboards with configurable web-scale caching.
>> *

Re: [RESULT] [VOTE] Superset Proposal for Apache Incubator

2017-05-02 Thread Pierre Smits 
Congratulations and good luck to the team incubating.

Best regards,

Pierre Smits

ORRTIZ.COM 
OFBiz based solutions & services

OFBiz Extensions Marketplace
http://oem.ofbizci.net/oci-2/

On Tue, May 2, 2017 at 6:54 PM, Jeff Feng  wrote:

> The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
> votes and no -1 votes.  Below are the overall results:
>
> *Binding:*
> Ashutosh Chauhan +1
> Luke Han + 1
> Julian Hyde +1
> Jitendra Pandey +1
> Joe Witt +1
> Ted Dunning +1
> P. Taylor Goetz +1
> Edward Yoon +1
> Jacques Nadeau +1
> Julian Le Dem +1
> Jim Jagielski +1
>
> *Non-Binding:*
> Moon Soo Lee +1
> Naresh Agarwal +1
> Felix Cheng +1
>
> Thank you to everyone who participated in the vote.
>
> Please welcome Superset to the Apache Incubator!
>
> Jeff
>
>
>
> On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:
>
> > Dear Apache Incubator Community,
> >
> > We have updated the Superset proposal
> >  (copied below) for
> > Apache Incubation with an additional mentor (Luke Han -
> > luke@apache.org), and would like to start a vote thread for
> > acceptance into the incubator.
> >
> > Our team is excited to share Superset with the Apache community and we
> > hope for the your continued support!
> >
> > Cheers,
> > Jeff & the Superset Team
> >
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings.  Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to self-service
> > analytics and agile workflows by any user.  This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving.  This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used.  Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are struggling
> > to provide cheap, quick and easy solutions to access data.  Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> > Business intelligence is more relevant today than at any other point in
> > history.  Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready.  Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions.  Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> >  * Easy, low friction access to data through a simple, web-based data
> > exploration interface.  Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> >  * Access to a wide array of rich, interactive data visualization types.
> >  * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> >  * Realtime & fast: Superset provides realtime analytics at the speed of
> > thought on very large datasets when integrated with Druid.io.
> >  * Broad data access: Consume data out

[RESULT] [VOTE] Superset Proposal for Apache Incubator

2017-05-02 Thread Jeff Feng 
The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
votes and no -1 votes.  Below are the overall results:

*Binding:*
Ashutosh Chauhan +1
Luke Han + 1
Julian Hyde +1
Jitendra Pandey +1
Joe Witt +1
Ted Dunning +1
P. Taylor Goetz +1
Edward Yoon +1
Jacques Nadeau +1
Julian Le Dem +1
Jim Jagielski +1

*Non-Binding:*
Moon Soo Lee +1
Naresh Agarwal +1
Felix Cheng +1

Thank you to everyone who participated in the vote.

Please welcome Superset to the Apache Incubator!

Jeff



On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:

> Dear Apache Incubator Community,
>
> We have updated the Superset proposal
>  (copied below) for
> Apache Incubation with an additional mentor (Luke Han -
> luke@apache.org), and would like to start a vote thread for
> acceptance into the incubator.
>
> Our team is excited to share Superset with the Apache community and we
> hope for the your continued support!
>
> Cheers,
> Jeff & the Superset Team
>
>
>
>
> = Superset =
>
> == Abstract ==
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
>
> == Proposal ==
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings.  Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
>
> == Background ==
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
>
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user.  This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving.  This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used.  Superset is a solution
> that delivers on all of these vectors.
>
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data.  Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
>
> == Rationale ==
> Business intelligence is more relevant today than at any other point in
> history.  Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready.  Every company informing their decisions
> with data needs a BI tool.
>
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions.  Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
>
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
>  * Easy, low friction access to data through a simple, web-based data
> exploration interface.  Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
>  * Access to a wide array of rich, interactive data visualization types.
>  * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
>  * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
>  * Broad data access: Consume data out of any SQL-speaking relational
> database.
>  * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
>  * Fast loading dashboards with configurable web-scale caching.
>  * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
>  * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with more flexibility.  SQL Lab integrates with the visualization engine
>

Generating contents for LICENSE, NOTICE for hawq incubating binary release

2017-05-02 Thread Ruilong Huo 
Hi All,

We passed Apache HAWQ 2.2.0.0-incubating binary release PMC vote but failed
with IPMC vote
.
The major reason is that the binary rpm package is lack of LICENSE, NOTICE
files.

Please review below steps to generate contents for LICENSE and NOTICE and
let us know if it is the correct way or is there better ways to do that.
Thanks.

Step 1. Download apache hawq 2.2.0.0 incubating binary tarball:
https://dist.apache.org/repos/dist/dev/incubator/hawq/2.2.0.0-incubating.RC2/apache-hawq-rpm-2.2.0.0-incubating.tar.gz

Step 2. Extract the rpm package for components from the tarball, which
basically contains hawq core (written by c/c++/java), pxf and ranger
(written by java)

*[gpadmin@localhost Downloads]$ ls -alt hawq_rpm_packages*

*-rw-r--r--. 1 gpadmin gpadmin 84083656 Apr 10 10:41
apache-hawq-2.2.0.0-el7.x86_64.rpm*
*-rw-r--r--. 1 gpadmin gpadmin  8892442 Apr 10 10:41
apache-tomcat-7.0.62-el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin 55353540 Apr 10 10:41
hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin 5668 Apr 10 10:41
pxf-3.2.1.0-1.el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin27034 Apr 10 10:41
pxf-hbase-3.2.1.0-1.el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin51142 Apr 10 10:41
pxf-hdfs-3.2.1.0-1.el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin68824 Apr 10 10:41
pxf-hive-3.2.1.0-1.el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin24724 Apr 10 10:41
pxf-jdbc-3.2.1.0-1.el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin18675 Apr 10 10:41
pxf-json-3.2.1.0-1.el6.noarch.rpm*
*-rw-r--r--. 1 gpadmin gpadmin   227890 Apr 10 10:41
pxf-service-3.2.1.0-1.el6.noarch.rpm*

Step 3. For the LICENSE of hawq core, pxf, and ranger binary, we add below
contents based on the LICENSE in hawq core source tarball

.

1) get the contents by extracting them from rpm. For example,
rpm2cpio hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch.rpm | cpio -div

*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/lib/postgresql-9.1-901-1.jdbc4.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/lib/ranger-plugin-admin-2.2.0.0.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/activation-1.1.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/apacheds-i18n-2.0.0-M15.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/apacheds-kerberos-codec-2.0.0-M15.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/api-asn1-api-1.0.0-M20.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/api-util-1.0.0-M20.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/asm-3.1.jar*
*./hawq-ranger-plugin-2.2.0.0-1.el7.centos.noarch/usr/local/apache-hawq/ranger/plugin-service/lib/avro-1.7.4.jar*
*..*

2) check which license does each of the library jar use and add them to the
LICENSE file for binary release.

Is there any tools can that show which license does each of the jar file
use or we can only do that by searching on the internet? Thanks.