Yeah, ran it on yarn-cluster mode.
On Tue, Aug 5, 2014 at 12:17 PM, Akhil Das
wrote:
> Are you sure that you were not running SparkPi in local mode?
>
> Thanks
> Best Regards
>
>
> On Wed, Aug 6, 2014 at 12:43 AM, Sunny Khatri
> wrote:
>
>> Well I was able to run the SparkPi, that also does th
Are you sure that you were not running SparkPi in local mode?
Thanks
Best Regards
On Wed, Aug 6, 2014 at 12:43 AM, Sunny Khatri wrote:
> Well I was able to run the SparkPi, that also does the similar stuff,
> successfully.
>
>
> On Tue, Aug 5, 2014 at 11:52 AM, Akhil Das
> wrote:
>
>> For tha
Well I was able to run the SparkPi, that also does the similar stuff,
successfully.
On Tue, Aug 5, 2014 at 11:52 AM, Akhil Das
wrote:
> For that UI to have some values, your process should do some operation.
> Which is not happening here ( 14/08/05 18:03:13 WARN
> YarnClusterScheduler: Initial
For that UI to have some values, your process should do some operation.
Which is not happening here ( 14/08/05 18:03:13 WARN YarnClusterScheduler:
Initial job has not accepted any resources; check your cluster UI to ensure
that workers are registered and have sufficient memory )
Can you open up a
The only UI I have currently is the Application Master (Cluster mode), with
the following executor nodes status:
Executors (3)
- *Memory:* 0.0 B Used (3.7 GB Total)
- *Disk:* 0.0 B Used
Executor IDAddressRDD BlocksMemory UsedDisk UsedActive TasksFailed
TasksComplete
TasksTotal TasksTask Tim
Are you able to see the job on the WebUI (8080)? If yes, how much memory
are you seeing there specifically for this job?
[image: Inline image 1]
Here you can see i have 11.8Gb RAM on both workers and my app is using
11GB.
1. What are all the memory that you are seeing in your case?
2. Make sure
