Re: 21/09/27 23:34:03 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

Thank you For the answer I have set now these properties as you suggest SparkConf sparkConf = new SparkConf().setAppName("simpleTest2").setMaster("yarn") .set("spark.executor.memory", "1g") .set("deploy.mode",

Re: 21/09/27 23:34:03 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

How can I check it? On 2021/09/28 03:29:45, Stelios Philippou 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, wrote: > > > How can I solve the

Re: 21/09/27 23:34:03 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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, wrote: > How can I solve the problem? > > On 2021/09/27 23:05:41, Thejdeep G wrote: > > Hi, > > > > That would

Re: 21/09/27 23:34:03 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

How can I solve the problem? On 2021/09/27 23:05:41, Thejdeep G 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 wrote: > > Hi > > I am trying to run spark

Re: 21/09/27 23:34:03 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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 wrote: > Hi > I am trying to run spark programmatically from eclipse with these > configurations for hadoop cluster locally >

21/09/27 23:34:03 WARN YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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")

Re: Debugging Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

@Ayan It seems to be running on spark standalone. Not mostly on Yarn I guess. Thanks, Sathish On Tue, Sep 26, 2017 at 9:09 PM, ayan guha wrote: > I would check the queue you are submitting job, assuming it is yarn... > > On Tue, Sep 26, 2017 at 11:40 PM, JG Perrin

RE: Debugging Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

not using Yarn, just standalone cluster with 2 nodes here (physical, not even VM). network seems good between the nodes . From: ayan guha [mailto:guha.a...@gmail.com] Sent: Tuesday, September 26, 2017 10:39 AM To: JG Perrin Cc: user@spark.apache.org Subject: Re: Debugging

Re: Debugging Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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 have

Debugging Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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("Converter -

Re: [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

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

[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

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

Re: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

> 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

MesosClusterDispatcher problem : Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

Hi all I run spark on mesos cluster, and meet a problem : when I send 6 spark drivers *at the same time*, I can get the Information on node3:8081 that there are 4 drivers in "Launched Drivers" and 2 in "Queueed Drivers". On mesos:5050, I can see there are 4 active tasks are running, but each task

YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

Yesterday night, I run the jar on my pseudo-distributed mode without WARN and ERROR. However, Today, Getting the WARN and directly leading to the ERROR below. My computer memory is 8GB and I think it’s not the issue as the LOG WARN describe. What ‘s wrong ? The code haven’t change yet. And the

Re: 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 10:22:01 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. On Wed, Dec 16,