Thanks Fabian and Tony for the info. It's very helpful.
Looks like the general approach is to implement a job topology containing
parameterized (CoXXXMapFunction) operators. The user defined parameters
will be ingested using the extra input the CoXXXMapFunction take.
Ken
On Wed, Nov 29, 2017 at
Another example is King's RBEA platform [1] which was built on Flink.
In a nutshell, RBEA runs a single large Flink job, to which users can add
queries that should be computed.
Of course, the query language is restricted because they queries must match
on the structure of the running job.
Hope thi
Hi KZ,
https://data-artisans.com/blog/real-time-fraud-detection-ing-bank-apache-flink
This article seems to be a good example to trigger a new calculation on a
running job. Maybe you can get some help from it.
Best Regards,
Tony Wei
2017-11-29 4:53 GMT+08:00 zanqing zhang :
> Hi All,
>
> Has an
Hi All,
Has anyone done any stream processing driven by a user request? What's the
recommended way of doing this? Or is this completely wrong direction to go
for applications running on top of Flink?
Basically we need to tweak the stream processing based on parameters
provided by a user, e.g. sho
