DROP TABLE permanently removes one or more tables—or entire partitions—from a BigQuery dataset.
DROP TABLE deletes the tables metadata and any stored data, freeing storage and making the name available again. The action is immediate and cannot be undone.
Use DROP TABLE to discard obsolete staging tables, purge test datasets, or rebuild tables created by ELT jobs. Always confirm no downstream jobs still reference the table.
See full syntax below. Key options include IF EXISTS to skip errors when the table is missing and listing multiple tables separated by commas.
Add the fully qualified name: DROP TABLE IF EXISTS `project.dataset.Customers`;
Separate table names by commas: DROP TABLE `project.dataset.Orders`, `project.dataset.OrderItems`;
Yesprepend IF EXISTS to avoid runtime errors when a table might not be present.
Always run SELECT * LIMIT 0 on the table first to confirm structure, validate backups, and use audit logs to confirm who issued the command.
Omitting IF EXISTS triggers errors in CI scripts when tables are already gone. Dropping partitions instead of entire tables is sometimes requireddoublecheck your storage layout.
Storage charges stop quickly, but internal reclamation can take several minutes.
No, unless you have a backup or the table was protected by a snapshot copy.
No. Use DROP VIEW for views.
Table names are case-sensitive only when back-ticked; otherwise BigQuery folds them to lowercase.
Yes. Use scheduled queries in BigQuery or Cloud Scheduler + Cloud Functions to run DROP TABLE statements on a timetable.
You need bigquery.tables.delete on the target table or bigquery.admin at the dataset level.