>
> http://maven.apache.org/plugins/maven-install-plugin/
> examples/specific-local-repo.html
Hm, I didn't know about that plugin--assuming it does all of the
jar/pom/sources/etc., then, yes, that could work...
At first glance, I'm not sure it'll bring over the pom with all of the
transitive dep
Stephen you can publish the artifact to your repo under a different
name, right? IIRC Maven will take care of the pom change along the
way. Yes you would not ever want to mess with changing an artifact
after it's published.
http://maven.apache.org/plugins/maven-install-plugin/examples/specific-loc
Awesome, sounds great, guys; thanks for understanding.
Depending on how badly I need 1.1.1-rc2 (I'll check my jobs tomorrow) I'll
just build a local version for now. Should be easy, it's just been awhile.
:-)
Thanks,
Stephen
On Sun Nov 23 2014 at 11:01:09 PM Patrick Wendell
wrote:
> Hey Steph
Hi, Dear Spark Streaming Developers and Users,
We are prototyping using spark streaming and hit the following 2 issues thatI
would like to seek your expertise.
1) We have a spark streaming application in scala, that reads data from Kafka
intoa DStream, does some processing and output a transfor
Hey Evan,
It might be nice to merge this into existing documentation. In
particular, a lot of this could serve to update the current tuning
section and programming guides.
It could also work to paste this wholesale as a reference for Spark
users, but in that case it's less likely to get updated w
Hey Stephen,
Thanks for bringing this up. Technically when we call a release vote
it needs to be on the exact commit that will be the final release.
However, one thing I've thought of doing for a while would be to
publish the maven artifacts using a version tag with $VERSION-rcX even
if the underl
Very helpful!!
thank you very much!
2014-11-24 2:17 GMT+09:00 Sam Bessalah :
> Thanks Evan, this is great.
> On Nov 23, 2014 5:58 PM, "Evan R. Sparks" wrote:
>
> > Hi all,
> >
> > Shivaram Venkataraman, Joseph Gonzalez, Tomer Kaftan, and I have been
> > working on a short document about writing
Interesting, perhaps we could publish each one with two IDs, of which the rc
one is unofficial. The problem is indeed that you have to vote on a hash for a
potentially final artifact.
Matei
> On Nov 23, 2014, at 7:54 PM, Stephen Haberman
> wrote:
>
> Hi,
>
> I wanted to try 1.1.1-rc2 becaus
Hi,
I wanted to try 1.1.1-rc2 because we're running into SPARK-3633, but
the"rc" releases not being tagged with "-rcX" means the pre-built artifacts
are basically useless to me.
(Pedantically, to test a release, I have to upload it into our internal
repo, to compile jobs, start clusters, etc. Inv
+1 (binding).
Don't see any evidence of regressions at this point. The issue
reported by Hector was not related to this rlease.
On Sun, Nov 23, 2014 at 9:50 AM, Debasish Das wrote:
> -1 from me...same FetchFailed issue as what Hector saw...
>
> I am running Netflix dataset and dumping out recomm
-1 from me...same FetchFailed issue as what Hector saw...
I am running Netflix dataset and dumping out recommendation for all users.
It shuffles around 100 GB data on disk to run a reduceByKey per user on
utils.BoundedPriorityQueue...The code runs fine with MovieLens1m dataset...
I gave Spark 10
Thanks Evan, this is great.
On Nov 23, 2014 5:58 PM, "Evan R. Sparks" wrote:
> Hi all,
>
> Shivaram Venkataraman, Joseph Gonzalez, Tomer Kaftan, and I have been
> working on a short document about writing high performance Spark
> applications based on our experience developing MLlib, GraphX, ml-m
Cool!
On Sun Nov 23 2014 at 5:58:03 PM Evan R. Sparks
wrote:
> Hi all,
>
> Shivaram Venkataraman, Joseph Gonzalez, Tomer Kaftan, and I have been
> working on a short document about writing high performance Spark
> applications based on our experience developing MLlib, GraphX, ml-matrix,
> pipeli
Hi all,
Shivaram Venkataraman, Joseph Gonzalez, Tomer Kaftan, and I have been
working on a short document about writing high performance Spark
applications based on our experience developing MLlib, GraphX, ml-matrix,
pipelines, etc. It may be a useful document both for users and new Spark
develope
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