You can refer this article to implement rules with generic flink job https://flink.apache.org/news/2020/01/15/demo-fraud-detection.html
From: Jaswin Shah <jaswin.s...@outlook.com> Sent: Wednesday, June 24, 2020 4:34 PM To: Jörn Franke Cc: user@flink.apache.org Subject: Re: DROOLS rule engine with flink [EXTERNAL EMAIL] Thats what I wanted to know I will I be able to achieve same only with flink if not use drool engine? ________________________________ From: Jörn Franke <jornfra...@gmail.com<mailto:jornfra...@gmail.com>> Sent: 24 June 2020 12:46 To: Jaswin Shah <jaswin.s...@outlook.com<mailto:jaswin.s...@outlook.com>> Cc: user@flink.apache.org<mailto:user@flink.apache.org> <user@flink.apache.org<mailto:user@flink.apache.org>> Subject: Re: DROOLS rule engine with flink I would implement them directly in Flink/Flink table API. I don’t think Drools plays well in this distributed scenario. It expects a centralized rule store and evaluation . Am 23.06.2020 um 21:03 schrieb Jaswin Shah <jaswin.s...@outlook.com<mailto:jaswin.s...@outlook.com>>: Hi I am thinking of using some rule engine like DROOLS with flink to solve a problem described below: I have stream of events coming from kafka topic and I want to analyze those events based on some rules and give the results in results streams when rules are satisfied. Now, I am able to solve the same problem with flink entirely but I need to write hard coded conditions in flink for the rules and in future I want to keep my flink job generic that if any rules are changed I should not need the redeployment of flink job. Use case: Consider there are events coming like A,B,C D....and those events are denoting those entity A is down, B is down,C is down ...etc. Now, there are many rules like: 1.A is actually down if A is down and there are 3 Bs for A are down...here A entity can have B in event json so. 2. B IS ACTUALLY DOWN IF B IS DOWN AND 2As for B are not down. THOSE EVENTS FROM SAME MINUTE See the not condition here, so, here When I received event of B down the, I will wait for buffer time say 1 min and after 1 min if I dont receive 2A down events, I declare B as down in result stream. Here basically we check on events at some minute so, keyboard minute.==》very imp I need a help on how can use DROOls engine to get those rules out from business logic and also maintenaning maximum partitioning as I am able to do it with static rules. Any help will be really appreciated. Thanks, Jaswin Get Outlook for Android<https://aka.ms/ghei36>
