Hello, I have to compute results on basis of lot of history data, parameters like total transactions in last 1 month, last 1 day, last 1 hour etc. by email id, ip, mobile, name, address, zipcode etc.
So my question is this right approach to create keyed state by email, mobile, zipcode etc. or should i create 1 big mapped state (BS) and than process that BS, may be in process function or by applying some loop and filter logic in window or process function. My main worry is i will end up with millions of states, because there can be millions unique emails, phone numbers or zipcode if i create keyed state by email, phone etc. am i right ? is this impact on the performance or is this wrong approach ? Which approach would you suggest in this use case. -- Thanks Regards SHASHANK AGARWAL --- Trying to mobilize the things....