--- jupytext: cell_metadata_filter: all formats: md:myst main_language: python notebook_metadata_filter: all text_representation: extension: .md format_name: myst format_version: 0.13 jupytext_version: 1.16.4 kernelspec: display_name: Python 3 language: python name: python3 --- +++ {"lines_to_next_cell": 0} # Snowflake plugin example ```{code-cell} from flytekit import kwtypes, workflow from flytekitplugins.snowflake import SnowflakeConfig, SnowflakeTask snowflake_task_no_io = SnowflakeTask( name="sql.snowflake.no_io", inputs={}, query_template="SELECT 1", output_schema_type=None, task_config=SnowflakeConfig( account="", database="SNOWFLAKE_SAMPLE_DATA", schema="TPCH_SF1000", warehouse="COMPUTE_WH", ), ) snowflake_task_templatized_query = SnowflakeTask( name="sql.snowflake.w_io", # Define inputs as well as their types that can be used to customize the query. inputs=kwtypes(nation_key=int), task_config=SnowflakeConfig( account="", database="SNOWFLAKE_SAMPLE_DATA", schema="TPCH_SF1000", warehouse="COMPUTE_WH", ), query_template="SELECT * from CUSTOMER where C_NATIONKEY = {{ .inputs.nation_key }} limit 100", ) @workflow def snowflake_wf(nation_key: int): return snowflake_task_templatized_query(nation_key=nation_key) # To review the query results, access the Snowflake console at: # `https://.snowflakecomputing.com/console#/monitoring/queries/detail`. # # You can also execute the task and workflow locally. if __name__ == "__main__": print(snowflake_task_no_io()) print(snowflake_wf(nation_key=10)) ```