Hello everyone, I would like to use MapReduce over cache items representing events happened in a process to calculate certain statistics. Could you be so kind to help me how can I do that with apache ignite?
I have tens of millions of processes that happened in the past. The processes look like a sequence of events [event1, event2, event3, ... eventN], where number of events per process could vary (50-100). Every event has certain sets of attributes like timestamp, event type, set of metrics. I put these data to a cache as process_id => [e1, e2, e3, e4, ...]. What I would like to get is to get a histogram how often event of a certain type happens in all the processes or processes that have certain condition. What I managed to do is to broadcast a callable that lands on ignite nodes and can access local cache items and counts what I want and returns it back to the caller in K chunks which I have to aggregate on the client. Ignite localIgnite = Ignition.localIgnite(); IgniteCache<String, MyProcess> localCache = localIgnite.cache("processes"); MyHistogram hist = new MyHistogram() for (Cache.Entry<String, MyProcess> e : localCache.localEntries()) { hist.process(e.getValue()); } return hist; The problem with the approach is it utilizes only a single core on the ignite node, while I have 64. How could I do something similar in more efficient manner? thank you in advance.