As of my knowledge cutoff date in September 2021, Snowflake’s built-in management and security features do not provide a direct way to delete or remove individual data files from an external stage. Once data files are loaded into a stage, Snowflake considers them as read-only, and the stage itself is not intended to be used as a data deletion or file management mechanism.
However, you can perform the following steps to manage and control the data files in a Snowflake stage:
1. **Managing Data Files:**
If you need to delete or remove specific data files from a stage, you would typically need to manage this at the source of the data, which could be the cloud storage platform (e.g., Amazon S3, Azure Blob Storage) where the files are stored. Access the storage platform directly and delete the files you no longer need.
2. **Leverage Cloud Storage Features:**
Cloud storage platforms like Amazon S3 or Azure Blob Storage provide their own mechanisms for managing data files, such as lifecycle policies, versioning, and object retention. You can use these features to control the lifecycle of your data files.
3. **Stage Retention Policy:**
Snowflake does provide a stage retention policy setting that determines how long staged files are retained. This setting can be used to automatically delete staged files after a certain period of time. However, it’s important to note that this policy applies to staged files that are pending loading, not to files that have already been loaded into Snowflake tables.
Here’s an example of setting a stage retention policy:
ALTER STAGE my_stage SET FILE_FORMAT = my_format RETENTION_TIME = 1 DAY;
In this example, files staged in the **`my_stage`** stage with the **`my_format`** file format are retained for one day before being automatically removed.
Always exercise caution when managing data files to avoid accidental data loss. If you need to manage and remove specific data files from a Snowflake stage, it’s recommended to do so at the cloud storage level where the files are stored. Be sure to follow best practices and consider the implications of data removal on your overall data management strategy.