Are you seeing your task being submitted to the UI? Under completed or
running tasks? How much resources are you allocating for your job? Can you
share a screenshot of your cluster UI and the code snippet that you are
trying to run?

Thanks
Best Regards

On Mon, Apr 20, 2015 at 12:37 PM, madhvi <madhvi.gu...@orkash.com> wrote:

>  Hi,
>
> I Did the same you told but now it is giving the following error:
> ERROR TaskSchedulerImpl: Exiting due to error from cluster scheduler: All
> masters are unresponsive! Giving up.
>
> On UI it is showing that master is working
>
> Thanks
> Madhvi
>
> On Monday 20 April 2015 12:28 PM, Akhil Das wrote:
>
>  In your eclipse, while you create your SparkContext, set the master uri
> as shown in the web UI's top left corner like: spark://someIPorHost:7077
> and it should be fine.
>
>  Thanks
> Best Regards
>
> On Mon, Apr 20, 2015 at 12:22 PM, madhvi <madhvi.gu...@orkash.com> wrote:
>
>> Hi All,
>>
>> I am new to spark and have installed spark cluster over my system having
>> hadoop cluster.I want to process data stored in HDFS through spark.
>>
>> When I am running code in eclipse it is giving the following warning
>> repeatedly:
>> scheduler.TaskSchedulerImpl: Initial job has not accepted any resources;
>> check your cluster UI to ensure that workers are registered and have
>> sufficient resources.
>>
>> I have made changes to spark-env.sh file as below
>> export SPARK_WORKER_INSTANCES=1
>> export HADOOP_CONF_DIR=/root/Documents/hadoop/etc/hadoop
>> export SPARK_WORKER_MEMORY=1g
>> export SPARK_WORKER_CORES=2
>> export SPARK_EXECUTOR_MEMORY=1g
>>
>> I am running the spark standalone cluster.In cluster UI it is showing all
>> workers with allocated resources but still its not working.
>> what other configurations are needed to be changed?
>>
>> Thanks
>> Madhvi Gupta
>>
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>
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