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How big is you dataset? What is the reason why you store a HashMap as a value? In fact when you store data in a local map there is no serialization logic happens, there are no network trips to pass a cache entry from one node to another, there is no replication from a primary to a backup node on a cache put operation, etc. So it's not fair to compare a distributed hash map like Ignite Cache with an ordinary map. To answer on a question why your nodes are failing we need to see the logs. Quite often nodes fail due to long garbage collection pauses. Please read this article carefully and tune you JVM settings basing having look at garbage collection logs: https://apacheignite.readme.io/docs/jvm-and-system-tuning -- Denis --------------------- Hi below is the problem which we are facing, Scenario we are trying to store data in 3 node ignite cluster and data populated in to it is key as string and value as hashMap Issues: 1.Amoung the 3 nodes two are coming down automatically and some times 3 nodes are coming down. 2, when we are storing data in ignite key as string and value as HashMAp, then it is taking lot of time to store the data around 1 hour, but when we are storing data in inmemory(HashMap) it takes just 15 mins could u please help us what can be the issue. -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/cluster-coming-down-after-data-before-loading-complete-data-tp5352p5480.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.
