Turns out it was a mix of user-error as well as a bug in the sbt/sbt build
that has since been fixed in the current 1.5 branch (I built from this
commit: b4f4e91c395cb69ced61d9ff1492d1b814f96828)
I've been testing out the dynamic allocation specifically and it's looking
pretty solid! Haven't come
Is it possible that you have only upgraded some set of nodes but not the
others?
We have ran some performance benchmarks on this so it definitely runs in
some configuration. Could still be buggy in some other configurations
though.
On Fri, Aug 14, 2015 at 6:37 AM, mkhaitman wrote:
> Has anyone
Has anyone had success using this preview? We were able to build the preview,
and able to start the spark-master, however, unable to connect any spark
workers to it.
Kept receiving "AkkaRpcEnv address in use" while attempting to connect the
spark-worker to the master. Also confirmed that the work
(I tried to send this last night but somehow ASF mailing list rejected my
mail)
In order to facilitate community testing of the 1.5.0 release, I've built a
preview package. This is not a release candidate, so there is no voting
involved. However, it'd be great if community members can start testi
Retry sending this again ...
-- Forwarded message --
From: Reynold Xin
Date: Thu, Aug 13, 2015 at 12:15 AM
Subject: [ANNOUNCE] Spark 1.5.0-preview package
To: "dev@spark.apache.org"
In order to facilitate community testing of the 1.5.0 release, I've built a
preview package. Thi
