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] > <mailto:[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 > <https://apacheignite.readme.io/docs/durable-memory-tuning> > > — > Denis > >> On Dec 20, 2017, at 10:43 AM, Tejashwa Kumar Verma <[email protected] >> <mailto:[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] >> <mailto:[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? > >
