Hi Vlad, The ideal work flow for my use case is: I host two clusters, one is computation cluster that run Spark jobs, the other is data cluster that host Ignite node and cache hot data. Then at the run time, multiple Spark jobs share this data cluster and query it. The problem I have is, I am pre-loading Ignite cache using a Spark job. Once IgniteContext got instantiated, it will launch Ignite Node with same number of Spark executors I allocated. Then distributed cache will distribute data on those nodes within my computation cluster as well, which I don't want because partial data hosted by these nodes won't be there once my pre-load job dies. Currently I force these node to be client mode so that the cache only distributed to data cluster when I execute my pre-load job. Are there better way to solve this?
Thanks, Tracy -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/Multiple-servers-in-a-Ignite-Cluster-tp8840p8887.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.
