Hi Jean,
What does the master UI say? http://10.0.100.81:8080
Do you have enough resources availalbe, or is there any running context
that is depleting all your resources ?
Are your workers registered and alive ? How much memory each? How many
cores each ?
Best
On Mon, Sep 18, 2017 at 11:24 PM, Jean Georges Perrin <j...@jgp.net> wrote:
> Hi,
>
> I am trying to connect to a new cluster I just set up.
>
> And I get...
> [Timer-0:WARN] Logging$class: Initial job has not accepted any resources;
> check your cluster UI to ensure that workers are registered and have
> sufficient resources
>
> I must have forgotten something really super obvious.
>
> My connection code is:
> SparkSession spark = SparkSession.builder()
> .appName("JavaSparkPi")
> .master("spark://10.0.100.81:7077")
> .config("spark.executor.memory", "4g")
> .config("spark.executor.cores", "2")
> .getOrCreate();
>
> My master is on 10.0.100.81, start with a simple start-master.sh. I have 2
> nodes, which i run with ./sbin/start-slave.sh spark://un.oplo.io:7077.
>
> I use Spark's own resource scheduler.
>
> jg
>
>
>
>
>
