After starting TiCDC, data cannot be sent to Kafka using changefeed

Note:
This topic has been translated from a Chinese forum by GPT and might contain errors.

Original topic: ticdc启动后,用changefeed同步到kafka数据无法发送

| username: TiDBer_UeR7YiGK

【TiDB Usage Environment】Production Environment / Testing / Poc
【TiDB Version】
【Reproduction Path】
【Encountered Issues: Issue Phenomenon and Impact】
【Resource Configuration】Go to TiDB Dashboard - Cluster Info - Hosts and take a screenshot of this page
【Attachments: Screenshots / Logs / Monitoring】

| username: Billmay表妹 | Original post link

If you encounter issues with data not being sent when using TiCDC to synchronize data to Kafka, you can troubleshoot by following these steps:

  1. Check the network connection between TiCDC and the Kafka cluster. You can try using the ping command or other network tools to test the network connection between TiCDC and the Kafka cluster.

  2. Verify the compatibility between TiCDC and Kafka versions. The TiCDC official documentation mentions that for version compatibility between TiCDC and Kafka, refer to Kafka Compatibility. Ensure that the TiCDC version you are using is compatible with the Kafka version.

  3. Check the TiCDC logs for any related error messages. You can use the tail -f command to view TiCDC logs in real-time, or set the log level to debug in the TiCDC configuration file for more detailed log information.

  4. Check the Kafka logs for any related error messages. You can use the tail -f command to view Kafka logs in real-time, or set the log level to debug in the Kafka configuration file for more detailed log information.

  5. Check the TiCDC configuration file to ensure it is correctly configured. You can refer to the TiCDC Configuration File Description in the TiCDC official documentation to verify the correctness of the TiCDC configuration file.

  6. Check the Kafka configuration file to ensure it is correctly configured. You can refer to the Kafka Configuration File Description in the Kafka official documentation to verify the correctness of the Kafka configuration file.

If you still cannot resolve the issue, you can provide more error messages and log information to better assist in solving the problem.