<@U04S8PLJWMT> What does `WorkerException: Unable ...
# ask-ai
g
@kapa.ai What does
WorkerException: Unable to find geography of connection
mean? and how to fix it?
k
Based on the knowledge sources provided, I don't have enough specific information to fully explain the
WorkerException: Unable to find geography of connection
error or provide a definitive fix. However, I can offer some related insights that might be helpful: The error message you're seeing appears to be related to a configuration issue with the geography setting in Airbyte. This is likely connected to the BigQuery destination connector, as BigQuery uses the concept of "geography" for data storage locations. A similar issue was reported in [Github Issue #24896](https://github.com/airbytehq/airbyte/issues/24896), where there was a problem with the
geography
variable type. The workaround suggested in that issue was: 1. Change
geography
to
Geography
in the configuration.yaml file. This suggests that the error might be due to a case-sensitive mismatch in the configuration file. To potentially resolve your issue: 1. Check your configuration files, particularly for BigQuery destinations if you're using them. 2. Ensure that the
geography
field is correctly capitalized as
Geography
. 3. Verify that you have properly set up and specified the geography for your connection. If this doesn't resolve the issue, you may need to review your entire connection configuration, ensuring all fields are correctly set and that you've specified a valid geography for your data storage. For more detailed assistance, you might want to check the Airbyte documentation or reach out to the Airbyte community with your specific configuration details (while being careful not to share sensitive information).
g
@kapa.ai I am seeing this on two sync jobs, one is a MySql source and Snowflake destination, the other is a Salesforce source and Snowflake destination.
k
A message from kapa.ai
Based on the information you've provided and the knowledge sources available, I can offer some insights into your situation with MySQL and Salesforce sources syncing to Snowflake destinations. It appears that you're experiencing issues with multiple sync jobs, which suggests that the problem might not be specific to a particular source connector but could be related to the Snowflake destination or the overall configuration. A similar issue was reported in the [Airbyte forum](https://discuss.airbyte.io/t/737) where a user experienced failures with both MongoDB and Salesforce sources syncing to Snowflake. In that case, the error was related to normalization and JSON schema validation. Here are some steps you can try to troubleshoot the issue: 1. Check the logs: Look for specific error messages in your sync job logs. Pay attention to any errors related to normalization or JSON schema validation. 2. Verify raw data: As suggested in the forum post, check if you're receiving data in your raw tables in Snowflake. If the raw tables are empty, it could indicate an issue with the source extraction or data transfer. 3. Review connection settings: Ensure that your connection configurations for both MySQL and Salesforce sources are correct. Double-check credentials, permissions, and any specific settings required for each source. 4. Check Snowflake permissions: Verify that the Airbyte user has the necessary permissions in Snowflake to create and write to tables. 5. Update connectors: Make sure you're using the latest versions of the MySQL, Salesforce, and Snowflake connectors. Updating to the latest versions might resolve known issues. 6. Examine resource allocation: If you're running Airbyte on Docker or Kubernetes, ensure that sufficient resources (memory, CPU) are allocated to the worker pods. If the issue persists after trying these steps, you may need to provide more specific error messages from your logs for a more detailed diagnosis. You can also consider opening a new topic on the [Airbyte discussion forum](https://discuss.airbyte.io/) with your specific error logs and configuration details (be sure to redact any sensitive information).