@kapa.ai got this error got this error streams -> 0 -> file_type Format filetype CSV is not a supported file type (type=value_error) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/airbyte/integration_code/main.py", line 42, in <module>

The error message you're seeing indicates that the file type 'CSV' is not recognized as a supported file type. This could be due to a typo or incorrect format in your configuration. Airbyte supports various file formats including CSV, JSON, Excel, Feather, Parquet, and others as mentioned in the [documentation](https://docs.airbyte.com/integrations/sources/file#file-formats). Here are some steps you can take to troubleshoot this issue: 1. Check the file type: Make sure that the file type you're trying to load is indeed 'CSV'. 2. Check the spelling: Ensure that 'CSV' is spelled correctly in your configuration. It should be in uppercase. 3. Check the format: If your file is a CSV file but has a different extension or format, you might need to convert it to a standard CSV format. If you've checked all of these and are still encountering the issue, I recommend reaching out to Airbyte Support for further assistance.

I'm sorry to hear that you're still encountering issues. Based on the information provided, it's difficult to pinpoint the exact cause of the problem. However, I can suggest a few general troubleshooting steps: 1. Check the file format again: Ensure that the file you're trying to load is indeed a CSV file. Sometimes, files may have a .csv extension but are not in the correct format. 2. Check the configuration: Make sure that 'CSV' is correctly entered in your configuration. It should be in uppercase and there should be no extra spaces or characters. 3. Check the Airbyte version: Ensure that you're using the latest version of Airbyte. Some older versions may not support certain features or may have bugs that have been fixed in more recent versions. 4. Check the logs: The logs can provide more detailed information about what's happening behind the scenes. They can help pinpoint the root cause of the problem. You can find more information about this in the [Airbyte troubleshooting guide](https://docs.airbyte.com/troubleshooting). 5. Reach out to the community: If you're still unable to resolve the issue, consider reaching out to the Airbyte community on their [forum](https://discuss.airbyte.io) or [Slack](https://airbytehq.slack.com). Other users may have encountered similar issues and could provide further assistance. 6. Open a Github ticket: If all else fails, consider opening a support ticket on [Github](https://github.com/airbytehq/airbyte/issues). The Airbyte support team is there to help you with any issues you're facing. Remember, Airbyte is an open-source project with a vibrant community that fosters collaboration and mutual support. Don't hesitate to reach out if you need help!

Airbyte supports syncing data from gzipped files in S3 to Snowflake. Here's how you can do it: 1. Set up an AWS S3 Static file storage: Follow the steps outlined in the [tutorial](https://airbyte.com/tutorials/copy-s3-csv-to-snowflake) to set up your AWS S3 file storage. Make sure the .gz file you want to sync is in the S3 bucket. 2. Set up a database using Snowflake: If you don't already have a Snowflake account, create one and set up a database. Airbyte provides a script to do this in a few seconds. 3. Set up Airbyte S3 source connector: In your Airbyte dashboard, go to Sources and click on the New Source button. Look for the S3 source and click on it. In the setup form, provide the necessary details including the S3 bucket name, bucket path (where your .gz file is located), access key ID, secret access key, and specify the file format as 'CSV' and the compression as 'GZIP'. 4. Set up Airbyte Snowflake destination connector: In your Airbyte dashboard, go to Destinations and click on the New Destination button. Look for the Snowflake destination and click on it. In the setup form, provide the necessary details including account name, warehouse, username, password, database, schema, and role. 5. Set up an S3 to Snowflake Connection: Go to Connections and click on the New Connection button. Select the S3 source and Snowflake destination you just created. Enable the data stream and choose the sync mode. Click on Save changes and Airbyte will start to sync your data. Once the sync is complete, you can head to your Snowflake dashboard and you should see a new table with the data from your .gz file. Remember to replace 'CSV' with the actual format of the data inside your .gz file. If the data is in a different format (like JSON), specify that format instead.

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@Hakeem Olu That's a great question, but unfortunately I am only capable of responding to a maximum of five questions per thread. Don't hesitate to create a new thread for any further questions you have though. I'm here to help!