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? >> > >
