Hi guys,

Sorry for bumping this thread again. I was trying something very similar 
but I was a bit confused with the kernel configuration that you use for 
running sparkR. Do we need to use the default R in the argument line or 
should we be calling the sparkR command located within the Spark 
installation. I have tried both and facing the same issues - "Fatal error: 
you must specify '--save', '--no-save' or '--vanilla' "

If possible, can you post a sample of the kernel json file that you are 
using to help me out.

On Wednesday, August 12, 2015 at 10:14:27 PM UTC+5:30, Daniel Dean wrote:
>
> Thanks everyone, using the notebook for now and I've confirmed it works 
> great. I'll keep an eye on any new version release notes in the future =)
>
> Best,
> Daniel
>
> On Tuesday, August 11, 2015 at 5:04:01 PM UTC-4, takowl wrote:
>>
>> On 11 August 2015 at 13:41, Auberon López <[email protected]> wrote:
>>
>>> The problem is that the console currently declares any R function that 
>>> takes too long to be in a dead kernel.  This is partially because of the 
>>> way that IRKernel currently handles its heartbeat, see: 
>>> https://github.com/IRkernel/IRkernel/issues/164
>>>
>>
>> We're planning to move away from using heartbeats altogether, and IIRC 
>> the notebook already doesn't. Instead, it just polls the pid of the kernel 
>> process to see if it's still running. This is simpler for kernels and more 
>> robust for frontends, because of precisely this issue. Since the notebook 
>> is the main frontend people want to use, I'd rather not mess around with 
>> threads in R for an interim fix, when we can hopefully work on a proper fix 
>> soon.
>>
>> Thomas
>>
>

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