Hi Denis, I dont know that i got your question correctly or not. But still attempting to ans.
For now i have 2 node cluster and both have 48-48 GB RAM available. And data is not Preloaded . Thanks & Regards Tejas On Thu, Dec 21, 2017 at 9:55 AM, Denis Magda <[email protected]> wrote: > Does it mean that you have 3 cluster nodes and all of them are running on > a single server? Is data preloaded from a different machine? > > — > Denis > > On Dec 20, 2017, at 8:09 PM, Tejashwa Kumar Verma < > [email protected]> wrote: > > HI Alexey, > > We have enough memory(around 48 GB) on server whereas allocation wise we > are assigning/utilizing only 15GB memory. > > > @Denis, I have tried all the configs given in mentioned link. But its not > helping out. > > > Thanks & regards > Tejas > > On Thu, Dec 21, 2017 at 5:44 AM, Denis Magda <[email protected]> wrote: > >> Tejas, >> >> The new memory architecture of Ignite 2.x might require an extra tuning. >> I find this doc as a good starting point of the scrutiny: >> https://apacheignite.readme.io/docs/durable-memory-tuning >> >> — >> Denis >> >> On Dec 20, 2017, at 10:43 AM, Tejashwa Kumar Verma < >> [email protected]> wrote: >> >> Yes, I have same cluster, env and no of nodes. >> >> I am using DataStreamer to load data. >> >> Thanks and Regards >> Tejas >> >> On 21 Dec 2017 12:11 am, "Alexey Kukushkin" <[email protected]> >> wrote: >> >>> Tejas, how do you load the cache - are you using DataStreamer or SQL, >>> JDBC or put/putAll or something else? Can you confirm - are you saying you >>> have same cluster (same number of nodes and hardware) and after the upgrade >>> the cache load time increased from 40 to 90 minutes? >>> >> >> > >
