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Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka
Streaming Data from Scylla to Kafka

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Editor's Notes

  • #13: On my Scylla cluster I created a keyspace and a CDC-enabled table with cqlsh:
  • #14: Then I started a connector with the following configuration. Notable things: tasks.max=10 - the connector is able to automatically split the work evenly between 10 tasks, even when replicating a single table; transforms.unwrap - I used a standard Debezium transformation, which removes some metadata to make it easier to read.
  • #15: After starting the connector, the changes will be visible on the MyCluster_ks_t topic. To test the connector, I inserted a few rows with cqlsh:
  • #16: After starting the connector, the changes will be visible on the MyCluster_ks_t topic. To test the connector, I inserted a few rows with cqlsh:
  • #17: The connector correctly replicated those operations to the topic: (I configured the connector with JSON serializer with schema):