Aw: Re: Re: Re: Flink Gelly

2016-10-07 Thread dfki
ot; Betreff: Re: Re: Re: Flink Gelly Hi, the exception > java.lang.RuntimeException: Memory ran out. Compaction failed. says that the hash table ran out of memory. Gelly is implemented on top of Flink's DataSet API. So this would rather be a problem with DataSet than Gelly. I think Vas

Re: Re: Re: Flink Gelly

2016-10-07 Thread Fabian Hueske
RAM by > the JVM and it does not go beyond 3gb at all. > > I still don't think that the memory is the propblem. For me it looks like > an internal > problem with Gelly. > > Best, > Dennis > > > Gesendet: Freitag, 07. Oktober 2016 um 12:29 Uhr > Von: "Vas

Aw: Re: Re: Flink Gelly

2016-10-07 Thread dfki
like an internal problem with Gelly.  Best, Dennis    Gesendet: Freitag, 07. Oktober 2016 um 12:29 Uhr Von: "Vasiliki Kalavri" An: dev@flink.apache.org Betreff: Re: Re: Flink Gelly Hi Dennis, On 7 October 2016 at 11:29, wrote: > Hi Vasia, > > thanks for your reply. > >

Re: Re: Flink Gelly

2016-10-07 Thread Vasiliki Kalavri
Hi Dennis, On 7 October 2016 at 11:29, wrote: > Hi Vasia, > > thanks for your reply. > > Currently I am testing it on my normal workstation (16GB Ram) but I also > tried it on out cluster. > Both are failing at the same amount of nodes, so I guess it has something > to do with Gelly > or with th