Hey there, let's work through figuring out why your connector isn't behaving as expected—whether through Control Center or the bash command line. Here's a step-by-step breakdown of what to check:

1. Dig into Confluent Control Center Logs & Frontend Debugging #

Since clicking "Continue" does nothing without errors, the issue might be hiding in Control Center's backend logs or frontend console:

• Backend Logs: By default, Control Center logs live in /var/log/confluent/confluent-control-center/ (or the logs/ folder within your Confluent installation directory). Look for files like control-center.log or control-center-stderr.log—search for keywords like connector, error, or failed to spot initialization issues.
• Frontend Console: Open your browser's developer tools (F12 key), go to the Console tab to check for JavaScript errors that might be blocking the button click. Switch to the Network tab too—when you click "Continue", there should be an API request to create the connector; if it fails, you'll see the status code and error details here.

2. Debug Bash Connector Execution #

If running the connector via bash leaves the process hanging without action, focus on the Connect worker's logs and runtime state:

• Worker Logs: Connect worker logs are usually in /var/log/confluent/kafka-connect/ or logs/connect.log in your Confluent setup. Look for entries about bootstrap server connections, configuration parsing, or connector initialization failures.
• Increase Log Verbosity: Add log4j.rootLogger=DEBUG, stdout to your worker properties file (like worker.properties for standalone mode) to get more detailed logs. This will show you exactly what the worker is trying to do when it starts up.
• Check Process State: Use ps aux | grep connect to confirm the worker process is running. If it's stuck, run jstack <process-id> to get a thread dump—this can reveal if the worker is blocked on a network call, deadlock, or resource issue.
• Validate Command Syntax: Double-check your startup command—for standalone mode, it should be connect-standalone.sh worker.properties your-connector.properties. Missing either config file will cause silent failures.

3. Validate Your Connector Configuration #

Your partial config mentions key.converter.schemas.enable=...—make sure that's completed (set to true or false) and that you haven't missed other required fields:

• Use the Validation Tool: Run confluent connect validate --config your-connector.properties (if you have the Confluent CLI installed) to check for syntax errors, missing required parameters, or invalid values.
• Check Mandatory Fields: Most connectors require value.converter (not just key.converter), and some need additional configs like connector.class, tasks.max, or connector-specific settings (e.g., topics for source connectors).
• Test Bootstrap Server Connectivity: Verify you can reach your Kafka cluster with kafka-topics.sh --list --bootstrap-server localhost:9092. If this command fails, the connector can't connect to Kafka either—fix network or cluster issues first.

4. Additional Checks to Rule Out Edge Cases #

• Connect Worker API Health: Visit http://localhost:8083/connectors in your browser (adjust the port if you changed it in worker config). If you get a 200 OK response, the worker is running; if not, the worker failed to start entirely.
• Permissions: Ensure the user running Control Center or the Connect worker has write access to log directories, and has permissions to interact with Kafka (e.g., creating topics, reading/writing messages).
• Version Compatibility: Confirm your Confluent Control Center, Connect worker, and Kafka cluster versions are compatible. Mismatched versions can cause unexpected silent failures.

内容的提问来源于stack exchange，提问作者Gokhan