Hi @Jun_NN ,
Indeed, deleting the AWS S3 bucket for the Databricks metastore can be a nerve-wracking task. However, there are strategies to recover from such situations.
Letโs explore some options:
-
Regenerate Metastore:
- If your metastore doesnโt contain critical data, consider deleting it and allowing Databricks to regenerate it. Hereโs how:
- Navigate to your Databricks workspace.
- Access the cluster associated with the metastore.
- Choose โEditโ to recreate the metastore.
-
Recreate S3 Bucket:
- If youโre comfortable, recreate the S3 bucket with the same name. Ensure that all configurations align correctly.
Remember to proceed with caution and assess the impact on your data and workflows. ๐ ๏ธ๐
For more comprehensive disaster recovery strategies in Azure Databricks, including cross-regional so...official documentation.
Itโs essential to have a robust plan in place, especially for cloud-native data analytics platforms like Azure Databricks. ๐๐