Hi, We are observing really good performance with single node, however with multiple nodes in cluster ,performance is degrading or we can say application throughput is not scaling.
I wrote a sample program to put 100K <Integer, Integer> data into cache in a single thread using put() and later read all of them using get(). (Application won't get all data from cache, but this gives a ball park idea how put and get will behave) Below is the time taken on 8 CPU Windows laptop - 1 Server - Put took 5136 ms - Get took 725 ms 2 Servers - Put took 19468 ms - Get took 10162 ms 3 Servers - Put took 28087 ms - Get took 14481 ms 4 Servers - Put took 34948 ms - Get took 16310 ms As you can see from 1 Server to 4 Server timing degraded ~7 fold for Put and 22 fold for fetch. Is this because of Partitioned cache where each partition getting balanced automatically? How can I tune it to get optimal performance? Attaching sample program. (To add nodes, use ExampleNodeStartup.java from Ignite examples.) -Sam PutAndGetPerf.java <http://apache-ignite-users.70518.x6.nabble.com/file/n9378/PutAndGetPerf.java> -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/Performance-with-increase-in-node-tp9378.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.