Request-Response flow for real-time analytics

2023-08-21 Thread Jiten Pathy
Hi, We are currently evaluating Flink for our analytics engine. We would appreciate any help with our experiment in using flink for real-time request-response use-case. To demonstrate the current use-case: our application produces events of the following form: {id, customerId, amount, timestamp}

Re: Request-Response flow for real-time analytics

2023-08-23 Thread Jiten Pathy
this 'id' field generated and can we add > 'requestId' field in the event? > > Thx, > Xiangyu > > Jiten Pathy 于2023年8月22日周二 14:04写道: > >> Hi, >> We are currently evaluating Flink for our analytics engine. We would >> appreciate

Re: Request-Response flow for real-time analytics

2023-08-24 Thread Jiten Pathy
ng SQL ? > > > On Tue, Aug 22, 2023 at 9:04 AM Jiten Pathy wrote: > >> Hi, >> We are currently evaluating Flink for our analytics engine. We would >> appreciate any help with our experiment in using flink for real-time >> request-response use-case. >> >>

Re: Request-Response flow for real-time analytics

2023-08-24 Thread Jiten Pathy
ent3.amount) AS client_total_amount > FROM event2 > LEFT JOIN > event3 > ON event2.ts >= event3.ts > AND event2.customer_id = event3.customer_id > GROUP BY > event2.customer_id; > > Regards, > Xiangyu > > Jiten Pathy 于2023年8月23日周三 16:38写道: > >> Hi Xiangyu,