snowflake.snowpark.Session.sql¶

Session.sql(query: str, params: Optional[Sequence[Any]] = None) → DataFrame[source]¶

Returns a new DataFrame representing the results of a SQL query.

Note

You can use this method to execute a SQL query lazily, which means the SQL is not executed until methods like DataFrame.collect() or DataFrame.to_pandas() evaluate the DataFrame. For immediate execution, chain the call with the collect method: session.sql(query).collect().

Parameters:

• query – The SQL statement to execute.

• params – binding parameters. We only support qmark bind variables. For more information, check https://docs.snowflake.com/en/developer-guide/python-connector/python-connector-example#qmark-or-numeric-binding

• _ast_stmt – when invoked internally, supplies the AST to use for the resulting dataframe.

Example:

>>> # create a dataframe from a SQL query
>>> df = session.sql("select 1/2")
>>> # execute the query
>>> df.collect()
[Row(1/2=Decimal('0.500000'))]

>>> # Use params to bind variables
>>> session.sql("select * from values (?, ?), (?, ?)", params=[1, "a", 2, "b"]).sort("column1").collect()
[Row(COLUMN1=1, COLUMN2='a'), Row(COLUMN1=2, COLUMN2='b')]

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