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Explanation of how the Kafka Connector ingests topics to supported database tables.
Release notes for open source DataStax Apache Kafka Connector.
Install on Linux-based platform using a binary tarball.
Configuring the connector.
Adjusting the number of tasks, simultaneous writes, and batch size.
Configure the worker to deserialize messages using the converter that corresponds to the producer's serializer.
Optionally specify the column to use for the writetime timestamp when inserting records from Kafka into supported database tables.
Set row-level TTL from Kafka fields.
Pass Kafka Connector settings to DataStax Java driver.
Configure logging for DataStax Apache Kafka Connector.
Simple but powerful syntax for mapping Kafka fields to suppported database table columns.
Use the sample configuration files as a starting point.
Maintaining and operating the DataStax Apache Kafka Connector.
Configure security between the DataStax Apache Kafka Connector and the cluster.
Use metrics reported for both the Kafka Connect Workers and the DataStax Apache Kafka Connector by using Java Management Extension MBeans to monitor the connector.
Find answers to common issues and errors.
Step-by-step implementation for test or demonstration environments running Apache Kafka and the target database on the same system.
