It worked!
We used the 0.9-SNAPSHOT as you said, and it worked perfectly, also with larger
data set we didn’t face any outofmemory problem
thanks
Il giorno 18/mag/2015, alle ore 21:19, Robert Metzger
mailto:rmetz...@apache.org>> ha scritto:
You are not getting the issue in your local environme
You are not getting the issue in your local environment, because there
everything is running in one JVM and the needed class is available there.
In the distributed case, we have a special usercode classloader which can
load classes from the user's jar.
On Mon, May 18, 2015 at 9:16 PM, Michele Bert
Got it!
thank you
Best,
Michele
Il giorno 18/mag/2015, alle ore 19:29, Robert Metzger
mailto:rmetz...@apache.org>> ha scritto:
Hi,
./yarn-session.sh -n 3 -s 1 -jm 1024 -tm 4096
will start a YARN session with 4 containers (3 workers, 1 master). Once the
session is running, you can submit a
Hi! thanks for answer!
for 1 you are right! I am using collect method on custom object, tomorrow I
will try moving back to snapshot.
why is it working correctly in my local environment (that is also a milestone1)?
on the other side i am not collecting large results: i am running on a test
datas
Hi,
./yarn-session.sh -n 3 -s 1 -jm 1024 -tm 4096
will start a YARN session with 4 containers (3 workers, 1 master). Once the
session is running, you can submit as many jobs as you want to this
session, using
./bin/flink run ./path/to/jar
The YARN session will create a hidden file in conf/ whic
Hi Michele!
It looks like there are quite a few things going wrong in your case. Let me
see what I can deduce from the output you are showing me:
1) You seem to run into a bug that exists in the 0.9-milestone-1 and has
been fixed in the master:
As far as I can tell, you call "collect()" on a da
Hi,
I have a problem running my app on a Yarn cluster
I developed it in my computer and everything is working fine
then we setup the environment on Amazon EMR reading data from HDFS not S3
we run it with these command
./yarn-session.sh -n 3 -s 1 -jm 1024 -tm 4096
./flink run -m yarn-cluste
