But what if I don't have more memory?
On Wed, 16 Dec 2015 at 08:13 Zhan Zhang <zzh...@hortonworks.com> wrote:
> There are two cases here. If the container is killed by yarn, you can
> increase jvm overhead. Otherwise, you have to increase the executor-memory
> if there is no memory leak happening.
>
> Thanks.
>
> Zhan Zhang
>
> On Dec 15, 2015, at 9:58 PM, Eran Witkon <eranwit...@gmail.com> wrote:
>
> If the problem is containers trying to use more memory then they allowed,
> how do I limit them? I all ready have executor-memory 5G
> Eran
> On Tue, 15 Dec 2015 at 23:10 Zhan Zhang <zzh...@hortonworks.com> wrote:
>
>> You should be able to get the logs from yarn by “yarn logs -applicationId
>> xxx”, where you can possible find the cause.
>>
>> Thanks.
>>
>> Zhan Zhang
>>
>> On Dec 15, 2015, at 11:50 AM, Eran Witkon <eranwit...@gmail.com> wrote:
>>
>> > When running
>> > val data = sc.wholeTextFile("someDir/*") data.count()
>> >
>> > I get numerous warning from yarn till I get aka association exception.
>> > Can someone explain what happen when spark loads this rdd and can't fit
>> it all in memory?
>> > Based on the exception it looks like the server is disconnecting from
>> yarn and failing... Any idea why? The code is simple but still failing...
>> > Eran
>>
>>
>
