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From "Chenna, Venkatasubbaiah" <Venkatasubbaiah.C...@dell.com>
Subject RE: DROOLS rule engine with flink
Date Wed, 24 Jun 2020 13:28:46 GMT
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.shah@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 <jornfranke@gmail.com<mailto:jornfranke@gmail.com>>
Sent: 24 June 2020 12:46
To: Jaswin Shah <jaswin.shah@outlook.com<mailto:jaswin.shah@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.shah@outlook.com<mailto:jaswin.shah@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





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