Truncate Table
The Truncate Table orchestration component removes all rows from a table or partitions, while keeping the table intact. The table must not be a view or an external or temporary table.
Truncate is implemented in two different ways, depending on whether the current flow is in the middle of a database transaction or not. The first is by using a TRUNCATE statement. The second is by using a DELETE FROM statement, which is preferable if the current pipeline is using a transaction.
- A truncate operation is faster than a delete operation.
- A truncate operation is not transaction safe—it cannot be rolled back.
Properties
Name = string
A human-readable name for the component.
Warehouse = drop-down
The Snowflake warehouse used to run the queries. The special value, [Environment Default], will use the warehouse defined in the environment. Read Overview of Warehouses to learn more.
Database = drop-down
The Snowflake database. The special value, [Environment Default], will use the database defined in the environment. Read Databases, Tables and Views - Overview to learn more.
Schema = drop-down
The Snowflake schema. The special value, [Environment Default], will use the schema defined in the environment. Read Database, Schema, and Share DDL to learn more.
Target Table = dual-listbox
The tables you want to truncate.
Name = string
A human-readable name for the component.
Schema = drop-down
Select the Amazon Redshift schema. The special value, [Environment Default], will use the schema defined in the environment. Read Schemas, to learn more.
Tables to Truncate = dual listbox
Select the table you want to truncate.
To use grid variables, tick the Use Grid Variable checkbox at the bottom of the Tables to Truncate dialog.
| Snowflake | Databricks | Amazon Redshift |
|---|---|---|
| ✅ | ❌ | ✅ |