How to Stream Data from Kafka to Kafka

Apache Kafka is a stream-processing platform most known for its great performance, high throughput and low latency. Its persistence layer is essentially a "massive publish/subscribe message queue following a distributed transaction logging architecture," making it valuable as an enterprise-class infrastructure for processing streaming data. Therefore, the data transmission from Kafka to Kafka is of great importance for many enterprises.

This tutorial introduces how to use , BladePipe will monitor the consumer offsets of all partitions. If the differences between the latest offset and the current offset of all partitions are all smaller than the tolerant offset interval (configured by parameter dbHeartbeatToleranceStep), a heartbeat record containing the current system time will be generated. Upon consuming this record, BladePipe will calculate the latency based on the time included in it.

Procedure

Step 1: Grant Permissions

Please refer to or .

Click DataSource > Add DataSource, and add 2 DataSources.

Step 4: Create a DataJob

1. Click DataJob > . If there is no specific message format, please select Raw Message Format.
   
   




2. Select the Topic to be synchronized.
   
   

   
   
   

   
   
   
   Conclusion
   

   
   
   

   In this tutorial, a data pipeline from Kafka to Kafka is created in minutes with 4 steps using BladePipe. It is just a glimpse of BladePipe’s powerful capabilities of real-time end-to-end data replication. To discover more, welcome to visit https://www.bladepipe.com/

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