Thanks for your answers, we will have a look at adapting the Kafka source
to assign the input partitions depending on the assigned Keygroups. If
anyone has already done such a thing I'd love your advice!
Cheers
Robin
Le lun. 2 déc. 2019 à 08:48, Gyula Fóra a écrit :
> Hi!
>
> As far as I know,
Hi!
As far as I know, even if you prepartition the data exactly the same way
in kafka using the key groups, you have no guarantee that the kafka
consumer source would pick up the right partitions.
Maybe if you have exactly as many kafka partitions as keygroups/max
parallelism, partitioned corre
Hi
>From the doc[1], the DataStream MUST already be pre-partitioned in EXACTLY the
same way Flink’s keyBy would partition the data in a shuffle w.r.t.
key-group assignment.
you should make sure that the key locates in the right key-group, and the
key-group locates in the right parallelism. you can
Hi all!
We are trying to build a Flink job that consumes a Kafka topic, groups
the incoming events in Session Windows according to a String that can
be generated by parsing the message (we call it `SessionKey`) and does
some processing on the windows before sending them to another Kafka
topic.
Our