DELETE removes one or more rows from a BigQuery table that meet a specified condition.
DELETE permanently removes rows that satisfy a Boolean condition. The table’s schema remains unchanged, and deleted data is not recoverable without backups.
Target the row with an equality filter on the key column.This limits scanned data and avoids accidental mass deletion.
DELETE FROM `ecommerce.Customers`
WHERE id = 42;
Combine operators such as AND, OR, IN, and BETWEEN to match several rows. Use partition filters when possible to reduce cost.
DELETE FROM `ecommerce.Orders`
WHERE order_date < DATE_SUB(CURRENT_DATE(), INTERVAL 1 YEAR)
AND total_amount < 10;
Yes.Use USING with a sub-query or another table to join and identify rows for deletion.
DELETE FROM `ecommerce.OrderItems`
USING (
SELECT id FROM `ecommerce.Products`
WHERE stock = 0
) AS p
WHERE OrderItems.product_id = p.id;
BigQuery supports partition and cluster pruning.Always specify the partition key in the WHERE clause to minimize scanned bytes and cost.
• Add precise WHERE filters.
• Test with SELECT before running DELETE.
• Use partition filters.
• Batch large deletes or use TTL if possible.
• Grant DELETE permission sparingly.
• Missing WHERE clause deletes all rows—always include a condition.
• Omitting partition filter scans whole table—include partition key to cut cost.
Yes, storage charges drop once DELETE finishes, though table metadata remains.
No.Restore from backups or table snapshots if available.
DELETE can be slower because BigQuery rewrites the affected partitions. Limit the scope to speed it up.
.
No. Only row data is removed; columns remain unchanged.
Yes. Use Cloud Scheduler with a Cloud Function or scheduled queries in the BigQuery console.
Users need the bigquery.dataEditor or bigquery.dataOwner IAM role on the dataset or table.