Destination
Select your cloud data warehouse.
Database = drop-down
The Snowflake destination database. The special value [Environment Default] uses the database defined in the environment. Read Databases, Tables and Views - Overview to learn more.
Schema = drop-down
The Snowflake destination schema. The special value [Environment Default] uses the schema defined in the environment. Read Database, Schema, and Share DDL to learn more.
Table = string
The new Snowflake table to load your prompt output into. Will create a new table if one does not exist. Otherwise, will replace any existing table of the same name.
Catalog = drop-down
Select a destination Databricks Unity Catalog. The special value [Environment Default] uses the catalog defined in the environment. Selecting a catalog will determine which databases are available in the next parameter.
Schema (Database) = drop-down
The Databricks destination schema. The special value [Environment Default] uses the schema defined in the environment. Read Create and manage schemas to learn more.
Table = string
The new Databricks table to load your prompt output into. Will create a new table if one does not exist. Otherwise, will replace any existing table of the same name.
Schema = drop-down
The Amazon Redshift destination schema. The special value [Environment Default] uses the schema defined in the environment. Read Schemas to learn more.
Table = string_
The new Redshift table to load your prompt output into. Will create a new table if one does not exist. Otherwise, will replace any existing table of the same name.
Create Table Options
- Replace if Table Exists: The pipeline will run despite the table already existing. The table will be recreated.
- Fail if Table Exists: If the table already exists, the pipeline will fail to run. This is the default setting.
- Append: If the table already exists, any new rows (records) will be added to the table without modifying or deleting existing rows. If the table does not exist, it is created and any new rows are inserted.
Column Prefix = string
Optionally set a prefix for newly created columns.