snowflakedb/snowpark-python v0.10.0

on GitHub

0.10.0 (2022-09-16)

New Features:

• Added experimental APIs for evaluating Snowpark dataframes with asynchronous queries:
  • Added keyword argument block to the following action APIs on Snowpark dataframes (which execute queries) to allow asynchronous evaluations:
    • DataFrame.collect(), DataFrame.to_local_iterator(), DataFrame.to_pandas(), DataFrame.to_pandas_batches(), DataFrame.count(), DataFrame.first().
    • DataFrameWriter.save_as_table(), DataFrameWriter.copy_into_location().
    • Table.delete(), Table.update(), Table.merge().
  • Added method DataFrame.collect_nowait() to allow asynchronous evaluations.
  • Added class AsyncJob to retrieve results from asynchronously executed queries and check their status.
• Added support for table_type in Session.write_pandas(). You can now choose from these table_type options: "temporary", "temp", and "transient".
• Added support for using Python structured data (list, tuple and dict) as literal values in Snowpark.
• Added keyword argument execute_as to functions.sproc() and session.sproc.register() to allow registering a stored procedure as a caller or owner.
• Added support for specifying a pre-configured file format when reading files from a stage in Snowflake.

Improvements:

• Added support for displaying details of a Snowpark session.

Bug Fixes:

• Fixed a bug in which DataFrame.copy_into_table() and DataFrameWriter.save_as_table() mistakenly created a new table if the table name is fully qualified, and the table already exists.

Deprecations:

• Deprecated keyword argument create_temp_table in Session.write_pandas().
• Deprecated invoking UDFs using arguments wrapped in a Python list or tuple. You can use variable-length arguments without a list or tuple.

Dependency updates

• Updated snowflake-connector-python to 2.7.12.