Thanks for letting us know!
The problem with Java Serialization is that they often swallow exceptions
and you only see a corrupted byte stream in the end. So far, I have found
no workaround for that.
Stephan
On Fri, Jul 24, 2015 at 11:31 AM, Stefano Bortoli s.bort...@gmail.com
wrote:
It
Hi Michele,
configuring a YARN cluster to allocate all available resources as good as
possible is sometimes tricky, that is true.
We are aware of these problems and there are actually the following two
JIRAs for this:
https://issues.apache.org/jira/browse/FLINK-937 (Change the YARN Client to
Hi everybody, i need a help on how to configure a yarn cluster
I tried a lot of conf but none of them was correct
We have a cluster on amazon emr let's say 1manager+5worker all of them are
m3.2xlarge then 8 core each and 30 GB of RAM each
What is a good configuration for such cluster?
I would
Below is the build.sbt I am using (also include project/assembly.sbt) :
//- Start build.sbt ---
version := 1.0
scalaVersion := 2.10.4
libraryDependencies ++= Seq(org.apache.flink % flink-scala % 0.9.0,
org.apache.flink % flink-clients % 0.9.0)