SnowflakeOperator¶

Use the SnowflakeOperator to execute SQL commands in a Snowflake database.

Using the Operator¶

Use the snowflake_conn_id argument to connect to your Snowflake instance where the connection metadata is structured as follows:

Snowflake Airflow Connection Metadata¶
Parameter	Input
Login: string	Snowflake user name
Password: string	Password for Snowflake user
Schema: string	Set schema to execute SQL operations on by default
Extra: dictionary	`warehouse`, `account`, `database`, `region`, `role`, `authenticator`

An example usage of the SnowflakeOperator is as follows:

tests/system/providers/snowflake/example_snowflake.py[source]

snowflake_op_sql_str = SnowflakeOperator(task_id="snowflake_op_sql_str", sql=CREATE_TABLE_SQL_STRING)

snowflake_op_with_params = SnowflakeOperator(
    task_id="snowflake_op_with_params",
    sql=SQL_INSERT_STATEMENT,
    parameters={"id": 56},
)

snowflake_op_sql_list = SnowflakeOperator(task_id="snowflake_op_sql_list", sql=SQL_LIST)

snowflake_op_sql_multiple_stmts = SnowflakeOperator(
    task_id="snowflake_op_sql_multiple_stmts",
    sql=SQL_MULTIPLE_STMTS,
    split_statements=True,
)

snowflake_op_template_file = SnowflakeOperator(
    task_id="snowflake_op_template_file",
    sql="example_snowflake_snowflake_op_template_file.sql",
)

Note

Parameters that can be passed onto the operator will be given priority over the parameters already given in the Airflow connection metadata (such as schema, role, database and so forth).

SnowflakeSqlApiOperator¶

Use the SnowflakeSqlApiHook to execute SQL commands in a Snowflake database.

You can also run this operator in deferrable mode by setting deferrable param to True. This will ensure that the task is deferred from the Airflow worker slot and polling for the task status happens on the trigger.

Using the Operator¶

Use the snowflake_conn_id argument to connect to your Snowflake instance where the connection metadata is structured as follows:

Snowflake Airflow Connection Metadata¶
Parameter	Input
Login: string	Snowflake user name
Password: string	Password for Snowflake user
Schema: string	Set schema to execute SQL operations on by default
Extra: dictionary	`warehouse`, `account`, `database`, `region`, `role`, `authenticator`

An example usage of the SnowflakeSqlApiHook is as follows:

tests/system/providers/snowflake/example_snowflake.py[source]

snowflake_sql_api_op_sql_multiple_stmt = SnowflakeSqlApiOperator(
    task_id="snowflake_op_sql_multiple_stmt",
    sql=SQL_MULTIPLE_STMTS,
    statement_count=len(SQL_LIST),
)

Note

Parameters that can be passed onto the operator will be given priority over the parameters already given in the Airflow connection metadata (such as schema, role, database and so forth).