[rules-users] Is a single StatefulKnowledgeSession with Distributed Memory cache possible?

Hi All, I am working on a banking fraud detection project with Drools Fusion, which will match a transaction against hunreds of rules to check whether the transaction is suspicious. In some rules, I use time-based sliding window to calculate the average transaction amount of an account in the past 3 or 6 months. One possible rule will be as below: rule "Single Large Amount Transaction" dialect "mvel" when $account : Account($number : number) $averageAmount : BigDecimal() from accumulate( TransactionCompletedEvent(fromAccountNumber == $account.number, $amount : amount) over window:time(90d) from entry-point TransactionStream, bigDecimalAverage($amount)) $t1 : TransactionCreatedEvent(fromAccountNumber == $account.number, amount > $account.creditAmount * 0.5, amount > $averageAmount * 3.0) from entry-point TransactionStream then end In such cases, the Fusion Engine will hold TransactionCompletedEvent in its memory for 90 days. And we have about 1 billion Accounts in total, so the TransactionCompletedEvent will be huge, we will very soon run out of memory. I have been blocked here for a long time! Is it possible to distribute a single StatefulKnowledgeSession in multiple JVMs or machines using Distributed Memory cache such as Hazelcast? If yes, could you give me some opinion on the solution? Or is this the problem the Drools Grid project try to handle? Or there are other techonology to handle large numbers of facts or events problem? As far as I know, Drools Grid distribute multilple ksessions on multiple machines in the Grid, each or several kseesions on one node? Is my understandings right? Any response or opinion from you will be appriciated! Thank you very much! -- View this message in context: http://drools.46999.n3.nabble.com/Is-a-single-StatefulKnowledgeSession-wi... Sent from the Drools: User forum mailing list archive at Nabble.com.