Hi all, So I need to specify how an executor should consume data from a kafka topic.
Let's say I have 2 topics : t0 and t1 with two partitions each, and two executors e0 and e1 (both can be on the same node so assign strategy does not work since in the case of a multi executor node it works based on round robin scheduling, whatever first available executor consumes the topic partition ) What I would like to do is make e0 consume partition 0 from both t0 and t1 while e1 consumes partition 1 from the t0 and t1. Is there no way around it except messing with scheduling ? If so what's the best approach. The reason for doing so is that executors will write to a cassandra database and since we will be in a parallelized context one executor might "collide" with another and therefore data will be lost, by assigning a partition I want to force the executor to process the data sequentially. Thanks Sami -- *Mind7 Consulting* Sami Ouassaid | Consultant Big Data | sami.ouassa...@mind7.com __ 64 Rue Taitbout, 75009 Paris ᐧ
