Cool, the recent 4 build had used the new configs, thanks!
Let's run more builds.
Davies
On Fri, Oct 17, 2014 at 11:06 PM, Josh Rosen wrote:
> I think that the fix was applied. Take a look at
> https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/21874/consoleFull
>
> Here, I see
Hi,
Is someone working on a project on integrating Oryx model serving layer
with Spark ? Models will be built using either Streaming data / Batch data
in HDFS and cross validated with mllib APIs but the model serving layer
will give API endpoints like Oryx
and read the models may be from hdfs/impa
Oryx 2 seems to be geared for Spark
https://github.com/OryxProject/oryx
2014-10-18 11:46 GMT-04:00 Debasish Das :
> Hi,
>
> Is someone working on a project on integrating Oryx model serving layer
> with Spark ? Models will be built using either Streaming data / Batch data
> in HDFS and cross val
How can I become a spark contributor.
What's the good path that I can follow to become an active code submitter for
spark from a newbie.
Regards
- Saurabh
my experience is that there are still a lot of java 6 clusters out there.
also distros that bundle spark still support java 6
On Oct 17, 2014 8:01 PM, "Andrew Ash" wrote:
> Hi Spark devs,
>
> I've heard a few times that keeping support for Java 6 is a priority for
> Apache Spark. Given that Java
I'd also wait a bit until these are gone. Jetty is unfortunately a much hairier
topic by the way, because the Hadoop libraries also depend on Jetty. I think it
will be hard to update. However, a patch that shades Jetty might be nice to
have, if that doesn't require shading a lot of other stuff.
Hadoop, for better or worse, depends on an ancient version of Jetty
(6), that is even on a different package. So Spark (or anyone trying
to use a newer Jetty) is lucky on that front...
IIRC Hadoop is planning to move to Java 7-only starting with 2.7. Java
7 is also supposed to be EOL some time nex
After successful events in the past two years, the Spark Summit conference has
expanded for 2015, offering both an event in New York on March 18-19 and one in
San Francisco on June 15-17. The conference is a great chance to meet people
from throughout the Spark community and see the latest news,
Yes, that is exactly what the next 2.x version does. Still in progress but
the recommender app and framework are code - complete. It is not even
specific to MLlib and could plug in other model build functions.
The current 1.x version will not use MLlib. Neither uses Play but is
intended to scale j
We've built a model server internally, based on Scalatra and Akka
Clustering. Our use case is more geared towards serving possibly thousands
of smaller models.
It's actually very basic, just reads models from S3 as strings (!!) (uses
HDFS FileSystem so can read from local, HDFS, S3) and uses Breez
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