ed in benchmarking it.
It'd be great if you can tell me how to configure and invoke this spark
version.
On Sun, Jul 20, 2014 at 9:02 PM, ankurdave [via Apache Spark User List] <
ml-node+s1001560n10281...@n3.nabble.com> wrote:
> On Fri, Jul 18, 2014 at 9:07 PM, ShreyanshB <
then, and the way to configure and invoke Spark is
> different. I can send you the correct configuration/invocation for this if
> you're interested in benchmarking it.
>
> On Fri, Jul 18, 2014 at 7:14 PM, ShreyanshB <[hidden email]
> <http://user/SendEmail.jtp?type=node&a
Hi,
I am trying to compare Graphx and other distributed graph processing systems
(graphlab) on my cluster of 64 nodes, each node having 32 cores and
connected with infinite band.
I looked at http://arxiv.org/pdf/1402.2394.pdf and stats provided over
there. I had few questions regarding configura
Perfect! Thanks Ankur.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Graphx-optimal-partitions-for-a-graph-and-error-in-logs-tp9455p9488.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
Great! Thanks a lot.
Hate to say this but I promise this is last quickie
I looked at the configurations but I didn't find any parameter to tune for
network bandwidth i.e. Is there anyway to tell graphx (spark) that I'm using
1G network or 10G network or infinite band? Does it figure out on its ow
Thanks a lot Ankur, I'll follow that.
A last quick
Does that error affect performance?
~Shreyansh
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Graphx-optimal-partitions-for-a-graph-and-error-in-logs-tp9455p9462.html
Sent from the Apache Spark User List
Hi,
I am trying graphx on live journal data. I have a cluster of 17 computing
nodes, 1 master and 16 workers. I had few questions about this.
* I built spark from spark-master (to avoid partitionBy error of spark 1.0).
* I am using edgeFileList() to load data and I figured I need to provide
part
