JMS Sink Connector for Kafka¶
Seamlessly integrate Kafka and ActiveMQ, leveraging their respective client libraries and preserving all JMS headers and properties.
Using with Confluent
This connector often operates in conjunction with the Confluent's ActiveMQ source connector. The Confluent connector alters the message structure and relocates headers custom properties.
The Rowlock JMS sink connector can replay messages with their original schema intact, including headers and custom properties.
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