SystemML 0.13 Release publish issue. (Resolved)

2017-02-20 Thread Arvind Surve
Network/Nexus issue caused issue described below.Republishing helped to 
resolved this issue.
-Arvind Arvind Surve | Spark Technology Center  | http://www.spark.tc/

  From: Arvind Surve 
 To: Dev  
 Sent: Monday, February 20, 2017 4:05 PM
 Subject: SystemML 0.13 Release publish issue.
   

Hi Luciano,
We have Maven Publish issue. As a part of Release Publish process, its supposed 
to send .asc, .md5, sha1 for every file we send to Nexus Repository,In build 
process it shows all files being sent.
But when we try to close the release for dev, it complains that .asc for every 
file don't exist.I see all files on Nexus Repository other than .asc file. 
(Uploaded screenshot)
I have opened JIRA against Apache Infrastructure.
https://issues.apache.org/jira/browse/INFRA-13548


Please let me know if there is any alternative solution to resolve it quickly.

 Arvind Surve | Spark Technology Center  | http://www.spark.tc/

   

[VOTE] Apache SystemML 0.13.0-incubating (RC1)

2017-02-20 Thread Arvind Surve
Please vote on releasing the following candidate as Apache SystemML version 
0.13.0-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 0.13.0-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 v0.13.0-incubating-rc1 
(07f26ca4ebf9471789c4535053c679f55a2291dc)

https://github.com/apache/incubator-systemml/commit/07f26ca4ebf9471789c4535053c679f55a2291dc

The release artifacts can be found at :
https://dist.apache.org/repos/dist/dev/incubator/systemml/0.13.0-incubating-rc1/

The maven release artifacts, including signatures, digests, etc. can be found 
at:

https://repository.apache.org/content/repositories/orgapachesystemml-1016/org/apache/systemml/systemml/0.13.0-incubating/

=
== Apache Incubator release policy ==
=
Please find below the guide to release management during incubation:
http://incubator.apache.org/guides/releasemanagement.html

===
== How can I help test this release? ==
===
If you are a SystemML user, you can help us test this release by taking an 
existing Algorithm or workload and running on this release candidate, then
reporting any regressions.


== What justifies a -1 vote for this release? ==

-1 votes should only occur for significant stop-ship bugs or legal related 
issues (e.g. wrong license, missing header files, etc). Minor bugs or 
regressions should not block this release.
 -Arvind
Arvind Surve | Spark Technology Center  | http://www.spark.tc/

SystemML 0.13 Release publish issue.

2017-02-20 Thread Arvind Surve

Hi Luciano,
We have Maven Publish issue. As a part of Release Publish process, its supposed 
to send .asc, .md5, sha1 for every file we send to Nexus Repository,In build 
process it shows all files being sent.
But when we try to close the release for dev, it complains that .asc for every 
file don't exist.I see all files on Nexus Repository other than .asc file. 
(Uploaded screenshot)
I have opened JIRA against Apache Infrastructure.
https://issues.apache.org/jira/browse/INFRA-13548


Please let me know if there is any alternative solution to resolve it quickly.

 Arvind Surve | Spark Technology Center  | http://www.spark.tc/

Re: Minimum required Spark version

2017-02-20 Thread Matthias Boehm1

that's a good catch Felix! I would recommend to cast this exception to a
warning and move it to a central place like SparkExecutionContext to ensure
consistency across all APIs and deployments.

Regards,
Matthias




From:   Deron Eriksson 
To: dev@systemml.incubator.apache.org
Date:   02/20/2017 02:14 PM
Subject:Re: Minimum required Spark version



Hi Felix,

I agree that the 2.1 hard requirement is a bit restrictive. If someone can
validate that Spark versions less than 2.1 and greater than 2.0.* work,
this seems like a great idea to me.

Deron


On Mon, Feb 20, 2017 at 1:43 PM,  wrote:

> Hi,
>
> the current master and 0.13 release have a hard requirement in MLContext
> for Spark 2.1. Is this really necessary or could we set it to >= 2.0?
Only
> supporting the latest Spark release seems a little restrictive to me.
>
>
> -Felix
>



--
Deron Eriksson
Spark Technology Center
http://www.spark.tc/




Re: Minimum required Spark version

2017-02-20 Thread Deron Eriksson
Hi Felix,

I agree that the 2.1 hard requirement is a bit restrictive. If someone can
validate that Spark versions less than 2.1 and greater than 2.0.* work,
this seems like a great idea to me.

Deron


On Mon, Feb 20, 2017 at 1:43 PM,  wrote:

> Hi,
>
> the current master and 0.13 release have a hard requirement in MLContext
> for Spark 2.1. Is this really necessary or could we set it to >= 2.0? Only
> supporting the latest Spark release seems a little restrictive to me.
>
>
> -Felix
>



-- 
Deron Eriksson
Spark Technology Center
http://www.spark.tc/


SystemML 0.13 Release plan (RC Build @ ~10AM PST)

2017-02-20 Thread Arvind Surve
Hi,
We will be starting SystemML 0.13 Release Candidate (RC) build around 10AM PST 
today (02/20).Once tag for SystemML 0.13 RC gets created, branch may get 
created any time later per need.Only MUST (Stop shipment) fixes for 0.13 
release will go in this newly created branch.You can continue your check-ins in 
master branch.


-Arvind 
Arvind Surve | Spark Technology Center  | http://www.spark.tc/

  From: Arvind Surve 
 To: Dev  
 Sent: Thursday, February 16, 2017 8:29 AM
 Subject: SystemML 0.13 Release plan
   
Hi,
We are planning to get SystemML 0.13 release out. One of the major purpose of 
this release is to provide supporting SystemML on Spark 2.1.0.We will plan to 
do Release Candidate (RC) build by end of this week. After RC build, 
verification will be done to get code ready for publish.
Once RC build gets started code for SystemML 0.13 will be frozen other than any 
stop shipment issues.If you are working on any critical issue/s, please try to 
get in change/s by EOD Friday (2/17/2017) PST.

ThanksArvind
 --     Arvind Surve     Spark Technology Center     
http://www.spark.tc/