How can I check it? On 2021/09/28 03:29:45, Stelios Philippou <stevo...@gmail.com> wrote: > It might be possible that you do not have the resources on the cluster. So > your job will remain to wait for them as they cannot be provided. > > On Tue, 28 Sep 2021, 04:26 davvy benny, <davv...@gmail.com> wrote: > > > How can I solve the problem? > > > > On 2021/09/27 23:05:41, Thejdeep G <tejde...@gmail.com> wrote: > > > 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 > > > > > > > > > > --------------------------------------------------------------------- > > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > > > >
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