Hi Guozhang, We are using Kafka 0.8.1 for all producer consumer and MM.
We have 32 partition in source (local) per DC and we have 100 in target (Central) DC. Is there any configuration on MM for this etc ? Thanks, Bhavesh On Mon, Aug 11, 2014 at 4:33 PM, Guozhang Wang <wangg...@gmail.com> wrote: > Hi Bhavesh, > > What is the number of partitions on the source and target clusters, and > what version of Kafka MM are you using? > > Guozhang > > > On Mon, Aug 11, 2014 at 1:21 PM, Bhavesh Mistry < > mistry.p.bhav...@gmail.com> > wrote: > > > HI Kafka Dev Team, > > > > > > > > We have to aggregate events (count) per DC and across DCs for one of > topic. > > We have standard Linked-in data pipe line producers --> Local Brokers --> > > MM --> Center Brokers. > > > > > > > > So I would like to know How MM handles messages when custom partitioning > > logic is used as below and number of partition in target DC is SAME vs > > different > > than the source DC ? > > > > > > > > If we have key based messages and custom partitioning logic ( hash(key) > % > > number of partition per topic source topic) we want to count event > > similar > > event by hashing to same partition and count events, and but when same > > event is MM to target DC will it go to same partition even though number > of > > partition is different in target DC (meaning does MM will use hash(key > > message) % number of partition) ? > > > > > > > > According to this reference, I do not have way to configure this or to > > control which partitioning logic to use when MM data ? > > > > > https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=27846330 > > > > > > Thanks, > > > > > > > > Bhavesh > > > > > > -- > -- Guozhang >
