@kapa.ai in kafka connector. when i set Protocol as SASL PLAINTEXT, it seems that the default sasl_mechanism is plain. is it any workaround to set sasl_mechanism as scram-sha-256?

Based on the information available, it seems that Airbyte's Kafka connector currently supports SASL_PLAIN and SCRAM-SHA-512 authentication mechanisms as per the [Kafka destination changelog](https://docs.airbyte.com/integrations/destinations/kafka#changelog). However, there is no explicit mention of support for SCRAM-SHA-256. If you need to use SCRAM-SHA-256, you might need to modify the Kafka connector's code. One user in the [Airbyte forum](https://discuss.airbyte.io/t/1577) shared a workaround for a similar issue where they modified the Dockerfile of the Kafka connector to include their certificate and built a local image. However, please note that modifying the connector's code might require a good understanding of the codebase and could potentially introduce new issues. It's recommended to raise this requirement on the [Airbyte GitHub issues page](https://github.com/airbytehq/airbyte/issues) to get official support or guidance.

it seems like a hardcoding. user should be able to choose sasl_mechanism in SASL PLAINTEXT. https://github.com/airbytehq/airbyte/blob/master/airbyte-integrations/connectors/source-kafka/src/main/resources/spec.json#L153-L157

A message from kapa.ai

Based on the provided knowledge sources, there doesn't seem to be a direct workaround to set the

sasl_mechanism

to SCRAM-SHA-256 without modifying the Kafka connector's code or building a custom image. The [Airbyte forum post](https://discuss.airbyte.io/t/1577) discusses a workaround that involves modifying the Dockerfile of the Kafka connector, but this does involve building a custom image. If you need to use a different

sasl_mechanism

than what's currently supported, it's recommended to raise this requirement on the [Airbyte GitHub issues page](https://github.com/airbytehq/airbyte/issues) to get official support or guidance.

@kapa.ai where is the Dockerfile of kafka connector

A message from kapa.ai

The Dockerfile for the Kafka connector is located in the Airbyte GitHub repository. You can find it in the following path:

airbyte-integrations/connectors/destination-kafka

. Here is the direct link to the [Kafka connector on GitHub](https://github.com/airbytehq/airbyte/tree/master/airbyte-integrations/connectors/destination-kafka). Please note that modifying the Dockerfile and building a custom image should be done with caution and a good understanding of the codebase.

@kapa.ai i want to change part of source codes and use my own custom connector. how to do it? https://github.com/airbytehq/airbyte/blob/master/airbyte-integrations/connectors/source-kafka/src/main/resources/spec.json#L153-L157

A message from kapa.ai

To modify the source code and use your own custom connector, you can follow these steps: 1. Fork and Clone the Airbyte Repository: First, create a fork of the Airbyte repository. Go to [Airbyte's GitHub page](https://github.com/airbytehq/airbyte), and click the fork button. Once you have your fork, clone it to your local machine. For example:

git clone <https://github.com/<your-username>/airbyte.git>

Replace

<your-username>

with your GitHub username. 2. Create a New Branch: It's a good practice to create a new branch for your changes. You can do this with the following command:

git checkout -b <branch-name>

Replace

<branch-name>

with a name for your new branch. 3. Modify the Source Code: Navigate to the file you want to modify in your local clone of the repository. In your case, this would be the

spec.json

file in the

source-kafka

directory. Make the necessary changes to the code. 4. Build the Connector: After making your changes, you'll need to build the connector. Navigate to the connector's directory (

airbyte-integrations/connectors/source-kafka

) and run the following command:

./gradlew build

This will create a new Docker image with your changes. 5. Test the Connector Locally: Before pushing your changes, you should test the connector locally. You can do this by running Airbyte on your machine and adding your connector. 6. Push Your Changes: If everything is working as expected, you can push your changes to your forked repository:

git add .    git commit -m "Your commit message"    git push origin <branch-name>

Replace

<branch-name>

with the name of your branch. 7. Create a Pull Request: Finally, you can create a pull request on the Airbyte GitHub page to merge your changes into the main repository. This step is optional and only needed if you want to contribute your changes back to the community. For more detailed instructions, you can refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/) and this [tutorial](https://airbyte.com/tutorials/how-to-add-custom-source-to-pyairbyte-using-the-no-code-builder).

@kapa.ai is it possible to custom kafka connector based on YAML file.

A message from kapa.ai

Yes, it is possible to customize the Kafka connector using a YAML file with Airbyte's low-code framework. This involves editing a boilerplate YAML file, known as the Connector Manifest, which describes the features and functionality of the connector. Here is the general structure of the YAML file:

yaml version: "0.1.0"   definitions:     <key-value pairs defining objects which will be reused in the YAML connector>   streams:     <list stream definitions>   check:     <definition of connection checker>   spec:     <connector spec>

You can iterate on this YAML file via the [connector builder UI](https://docs.airbyte.com/connector-development/connector-builder-ui/overview) as it makes it easy to inspect and debug your connector in greater detail than you would be able to through the command line. For more detailed instructions on how to understand and configure the YAML file, you can refer to the [Airbyte documentation](https://docs.airbyte.com/connector-development/config-based/understanding-the-yaml-file/yaml-overview).