You're absolutely right, and I apologize for the confusion in my previous answer. Thank you for pointing that out. You are correct that the environment variable we should be focusing on is

LOG_LEVEL

, not

DEBUG

. Let me provide you with the correct information based on the knowledge sources: To change the log level for Airbyte, including connectors, you can use the

LOG_LEVEL

environment variable. According to the [Airbyte documentation on configuring logging](https://docs.airbyte.com/operator-guides/configuring-airbyte#logging): 1. The

LOG_LEVEL

environment variable defines log levels and defaults to INFO. 2. This value is expected to be one of the various Log4J log levels. To change the log level in your abctl setup, you can try the following: 1. Edit the worker deployment:

kubectl edit deployment -n airbyte-abctl airbyte-abctl-worker

2. In the editor, look for the environment variables section and add or modify the

LOG_LEVEL

environment variable:

yaml    env:      - name: LOG_LEVEL        value: "DEBUG"  # Or any other Log4J log level you prefer

3. Save and exit the editor. Kubernetes will automatically roll out the changes to the worker pods. It's worth noting that this change will affect all connectors run by that worker, not just a specific one. Additionally, for debugging purposes, you might want to be cautious about using

DEBUG

log level in production environments. As mentioned in the [Airbyte documentation on scaling](https://docs.airbyte.com/enterprise-setup/scaling-airbyte#debug-logs): "We recommend turning off

DEBUG

logs for any non-testing use of Self-Managed Airbyte. Failing to do while running at-scale syncs may result in the

server

pod being overloaded, preventing most of the deployment for operating as normal." If you need to debug a specific connector or sync, you might want to temporarily increase the log level, perform your debugging, and then revert it back to a less verbose level like INFO for normal operations.

You raise an excellent point, and I apologize for the confusion in my previous responses. After carefully reviewing the knowledge sources, I realize I made an incorrect assumption about the worker service. You're right to question this, and I appreciate your attention to detail. Let's look at the correct information: Based on the information from [Github Issue #36557](https://github.com/airbytehq/airbyte/issues/36557), it appears that the debug logs are indeed related to the workload-launcher, not the worker. The issue mentions a feature flag

container-orchestrator-java-opts

that affects debug logging. To set the log level for the workload-launcher, you should modify its deployment instead: 1. Edit the workload-launcher deployment:

kubectl edit deployment -n airbyte-abctl airbyte-abctl-workload-launcher

2. In the editor, look for the environment variables section and add or modify the

LOG_LEVEL

environment variable:

yaml    env:      - name: LOG_LEVEL        value: "DEBUG"

3. Save and exit the editor. Kubernetes will automatically roll out the changes to the workload-launcher pods. Additionally, you might want to check if the

JAVA_OPTS

environment variable is set correctly. According to the issue, the correct setting should include:

JAVA_OPTS: -XX:+ExitOnOutOfMemoryError -XX:MaxRAMPercentage=75.0 -javaagent:/app/dd-java-agent.jar -Ddd.profiling.enabled=true -XX:FlightRecorderOptions=stackdepth=256 -Ddd.trace.sample.rate=0.5 -Ddd.trace.request_header.tags=User-Agent:http.useragent -DLOG_LEVEL=DEBUG

Note the

-DLOG_LEVEL=DEBUG

at the end of this string. If you're still not seeing DEBUG logs after making these changes, it's possible that there might be other configuration issues or that the logs are being written to a location you're not checking. In this case, I would recommend reaching out to the Airbyte community or support channels for more specific assistance with your setup. [Github Issue: container-orchestrator-java-opts feature flag not always consistent](https://github.com/airbytehq/airbyte/issues/36557)

You're absolutely right, and I apologize for the confusion in my previous responses. Thank you for pointing out that the connector is developed in Python. This is an important detail that I overlooked. For Python-based connectors, the logging configuration is indeed different from Java-based services. Let's look at the correct information for Python connectors: According to the [Airbyte documentation on the Connector Development Kit (CDK)](https://docs.airbyte.com/connector-development/cdk-python#debugging), you can enable debug logging for Python connectors by using the

--debug

flag when running the connector. Here's how you can do it: 1. First, you need to modify the command that runs your connector to include the

--debug

flag. This is typically done in the connector's configuration or in the Airbyte platform settings. 2. If you're running the connector locally for testing, you can use a command like this:

python main.py read --config secrets/config.json --catalog sample_files/configured_catalog.json --debug

3. In the Airbyte platform (which you're running with abctl), you'll need to modify the connector's configuration to include this debug flag. Unfortunately, the knowledge sources don't provide specific instructions on how to do this in the abctl environment. 4. You can also add your own debug statements in your connector code:

python    self.logger.debug("your debug message here", extra={"debug_field": self.value})

It's important to note that enabling debug logging can significantly increase the volume of logs produced, which might impact performance in production environments. If you're still having trouble enabling debug logging for your Python connector in the abctl environment, I recommend reaching out to the Airbyte community through their [GitHub forum](https://github.com/airbytehq/airbyte/discussions/categories/questions) or [Slack channel](https://airbytehq.slack.com/archives/C021JANJ6TY) for more specific guidance on how to modify connector configurations in abctl. [Airbyte CDK Python Documentation](https://docs.airbyte.com/connector-development/cdk-python#debugging)