[ https://issues.apache.org/jira/browse/KAFKA-2649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Randall Hauch updated KAFKA-2649: --------------------------------- Status: Patch Available (was: Open) > Add support for custom partitioner in sink nodes > ------------------------------------------------ > > Key: KAFKA-2649 > URL: https://issues.apache.org/jira/browse/KAFKA-2649 > Project: Kafka > Issue Type: Sub-task > Components: kafka streams > Reporter: Randall Hauch > Assignee: Randall Hauch > Fix For: 0.9.0.0 > > > The only way for Processor implementations to control partitioning of > forwarded messages is to set the partitioner class as property > {{ProducerConfig.PARTITIONER_CLASS_CONFIG}} in the StreamsConfig, which > should be set to the name of a > {{org.apache.kafka.clients.producer.Partitioner}} implementation. However, > doing this requires the partitioner knowing how to properly partition *all* > topics, not just the one or few topics used by the Processor. > Instead, Kafka Streams should make it easy to optionally add a partitioning > function for each sink used in a topology. Each sink represents a single > output topic, and thus is far simpler to implement. Additionally, the sink is > already typed with the key and value types (via serdes for the keys and > values), so the partitioner can be also be typed with the key and value > types. Finally, this also keeps the logic of choosing partitioning strategies > where it belongs, as part of building the topology. -- This message was sent by Atlassian JIRA (v6.3.4#6332)