Hi,
That would usually mean that the application has not been allocated the
executor resources from the resource manager yet.
On 2021/09/27 21:37:30, davvy benny <davv...@gmail.com> wrote:
> Hi
> I am trying to run spark programmatically from eclipse with these
> configurations for hadoop cluster locally
> SparkConf sparkConf = new
> SparkConf().setAppName("simpleTest2").setMaster("yarn")
> .set("spark.executor.memory", "1g")
> .set("deploy.mode", "cluster")
> .set("spark.yarn.stagingDir",
> "hdfs://localhost:9000/user/hadoop/")
> .set("spark.shuffle.service.enabled", "false")
> .set("spark.dynamicAllocation.enabled", "false")
> .set("spark.cores.max", "1")
> .set("spark.executor.instances","2")
> .set("spark.executor.memory","500m") //
> .set("spark.executor.cores","1")//
>
> .set("spark.yarn.nodemanager.resource.cpu-vcores","4")
> .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: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: Initial job has not accepted any
> resources; check your cluster UI to ensure that workers are registered and
> have sufficient resources
>
> I ve noticed that this occurs after the application of a map on my Dataset.
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>
>
---------------------------------------------------------------------
To unsubscribe e-mail: user-unsubscr...@spark.apache.org
