quot;)
> > > > > > .set("spark.dynamicAllocation.enabled",
> > "false")
> > > > > > .set("s
> > > .set("spark.executor.cores","1")//
> > > >
> > .set("spark.yarn.nodemanager.resource.cpu-vcores","4")
> > > > .set("spark.yarn.submit.file.replication",
&
.set("spark.yarn.submit.file.replication",
> "1")
> > > .set("spark.yarn.jars",
> "hdfs://localhost:9000/user/hadoop/davben/jars/*.jar")
> > >
> > > When I check on the http://localhost
.cpu-vcores","4")
> > .set("spark.yarn.submit.file.replication", "1")
> > .set("spark.yarn.jars",
> > "hdfs://localhost:9000/user/hadoop/davben/jars/*.jar")
> >
.set("spark.yarn.jars",
> "hdfs://localhost:9000/user/hadoop/davben/jars/*.jar")
>
> When I check on the http://localhost:8088/cluster/apps/RUNNING I can see that
> my job is submitted but y terminal loops saying
> 21/09/27 23:36:33 WARN YarnScheduler: In
cation", "1")
.set("spark.yarn.jars",
"hdfs://localhost:9000/user/hadoop/davben/jars/*.jar")
When I check on the http://localhost:8088/cluster/apps/RUNNING I can see that
my job is submitted but y terminal lo
:
>
>> Hi,
>>
>>
>>
>> I get the infamous:
>>
>> Initial job has not accepted any resources; check your cluster UI to
>> ensure that workers are registered and have sufficient resources
>>
>>
>>
>> I run the a
nitial job has not accepted any resources; check your cluster UI to ensure
that workers are registered and have sufficient resources
I run the app via Eclipse, connecting:
SparkSession spark = SparkSession.builder()
.appName("Converter - Benchmark")
I would check the queue you are submitting job, assuming it is yarn...
On Tue, Sep 26, 2017 at 11:40 PM, JG Perrin wrote:
> Hi,
>
>
>
> I get the infamous:
>
> Initial job has not accepted any resources; check your cluster UI to
> ensure that workers are registered and h
Hi,
I get the infamous:
Initial job has not accepted any resources; check your cluster UI to ensure
that workers are registered and have sufficient resources
I run the app via Eclipse, connecting:
SparkSession spark = SparkSession.builder()
.appName("Conv
, Jean Georges Perrin wrote:
> Hi,
>
> I am trying to connect to a new cluster I just set up.
>
> And I get...
> [Timer-0:WARN] Logging$class: Initial job has not accepted any resources;
> check your cluster UI to ensure that workers are registered and have
> sufficient r
Hi,
I am trying to connect to a new cluster I just set up.
And I get...
[Timer-0:WARN] Logging$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
> When Initial jobs have not accepted any resources then what all can be
> wrong? Going through stackoverflow and various blogs does not help. Maybe
> need better logging for this? Adding dev
>
Did you take a look at the spark UI to see your resource availability?
Thanks and Regards
Noorul
nning, but each task
sends the warning : "Initial job has not accepted any resources; check your
cluster UI to ensure that workers are registered and have sufficient
resources". At this time, I see mesos all cpus are used on node1:5050 and
running forever until I kiil a task.
My quest
>>> *15/12/16 10:22:01 WARN cluster.YarnScheduler: Initial job has not
accepted any resources; check your cluster UI to ensure that workers are
registered and have sufficient resources*
That means you don't have resources for your application, please check your
hadoop web ui.
below
15/12/16 10:22:01 WARN cluster.YarnScheduler: Initial job has not accepted any
resources; check your cluster UI to ensure that workers are registered and have
sufficient resources
15/12/16 10:22:04 WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint:
ApplicationMaster has disassociated
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