VACUUM Databricks
VACUUM Databricks
In Databricks, VACUUM is a command used to reclaim storage space by removing no-longer-needed data files. It’s particularly useful for Delta Lake tables but can also be applied to other file-based tables.
How VACUUM works on Delta Lake tables:
- Identifies Unreferenced Files: VACUUM scans the Delta table’s transaction log and identifies data files that are no longer part of the latest table version due to operations like UPDATE, DELETE, or MERGE.
- Checks Retention Period: It also considers a retention period (default: 7 days) and only removes files that have not been referenced for longer than this period. This ensures you can still access previous table versions for a limited time.
- Deletes Unneeded Files: VACUUM safely deletes unreferenced and expired files from the underlying file system, freeing up storage space.
Benefits of using VACUUM:
- Reduces Storage Costs: By removing unnecessary files, VACUUM helps you optimize storage costs, especially in cloud environments where storage is often billed based on usage.
- Improves Performance: Removing stale files can improve the performance of queries and operations that scan the table’s data.
Important Considerations:
- Retention Period: Choose the retention period carefully. A shorter period frees up more space but limits your ability to time travel and access older table versions.
- Time Travel: After running VACUUM, you won’t be able to query table versions older than the retention period.
- Non-Delta Tables: VACUUM on non-Delta tables removes only uncommitted files older than the retention period. Databricks automatically trigger VACUUM operations for non-Delta tables as data is written.
How to run VACUUM:
SQL
VACUUM tableName RETAIN num HOURS;
Replace tableName with the name of your Delta Lake table and num with the desired retention period in hours.
Example:
SQL
VACUUM myDeltaTable RETAIN 24 HOURS;
This command will remove files from myDeltaTable that haven’t been referenced for more than 24 hours.
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