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1.6.1 (2023-08-02)
New Features
Added support for these new functions in snowflake.snowpark.functions:
array_sort
sort_array
array_min
array_max
explode_outer
Added support for pure Python packages specified via Session.add_requirements or Session.add_packages. They are now usable in stored procedures and UDFs even if packages are not present on the Snowflake Anaconda channel.
Added Session parameter custom_packages_upload_enabled and custom_packages_force_upload_enabled to enable the support for pure Python packages feature mentioned above. Both parameters default to False.
Added support for specifying package requirements by passing a Conda environment yaml file to Session.add_requirements.
Added support for asynchronous execution of multi-query dataframes that contain binding variables.
Added support for renaming multiple columns in DataFrame.rename.
Added support for Geometry datatypes.
Added support for params in session.sql() in stored procedures.
Added support for user-defined aggregate functions (UDAFs). This feature is currently in private preview.
Added support for vectorized UDTFs (user-defined table functions). This feature is currently in public preview.
Added support for Snowflake Timestamp variants (i.e., TIMESTAMP_NTZ, TIMESTAMP_LTZ, TIMESTAMP_TZ)
Added TimestampTimezone as an argument in TimestampType constructor.
Added type hints NTZ, LTZ, TZ and Timestamp to annotate functions when registering UDFs.
Improvements
Removed redundant dependency typing-extensions.
DataFrame.cache_result now creates temp table fully qualified names under current database and current schema.
Bug Fixes
Fixed a bug where type check happens on pandas before it is imported.
Fixed a bug when creating a UDF from numpy.ufunc.
Fixed a bug where DataFrame.union was not generating the correct Selectable.schema_query when SQL simplifier is enabled.
Behavior Changes
DataFrameWriter.save_as_table now respects the nullable field of the schema provided by the user or the inferred schema based on data from user input.
