[ https://issues.apache.org/jira/browse/KAFKA-687?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Neha Narkhede updated KAFKA-687: -------------------------------- Affects Version/s: (was: 0.8.1) 0.9 > Rebalance algorithm should consider partitions from all topics > -------------------------------------------------------------- > > Key: KAFKA-687 > URL: https://issues.apache.org/jira/browse/KAFKA-687 > Project: Kafka > Issue Type: Improvement > Affects Versions: 0.9 > Reporter: Pablo Barrera > > The current rebalance step, as stated in the original Kafka paper [1], splits > the partitions per topic between all the consumers. So if you have 100 topics > with 2 partitions each and 10 consumers only two consumers will be used. That > is, for each topic all partitions will be listed and shared between the > consumers in the consumer group in order (not randomly). > If the consumer group is reading from several topics at the same time it > makes sense to split all the partitions from all topics between all the > consumer. Following the example, we will have 200 partitions in total, 20 per > consumer, using the 10 consumers. > The load per topic could be different and the division should consider this. > However even a random division should be better than the current algorithm > while reading from several topics and should harm reading from a few topics > with several partitions. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira