Release

1.9.0 (2023-10-13)

New Features

• Added support for the Python 3.11 runtime environment.

Dependency updates

• Added back the dependency of typing-extensions.

Bug Fixes

• Fixed a bug where imports from permanent stage locations were ignored for temporary stored procedures, UDTFs, UDFs, and UDAFs.
• Revert back to using CTAS (create table as select) statement for Dataframe.writer.save_as_table which does not need insert permission for writing tables.

New Features

• Support PythonObjJSONEncoder json-serializable objects for ARRAY and OBJECT literals.

Release

1.8.0 (2023-09-14)

New Features

• Added support for VOLATILE/IMMUTABLE keyword when registering UDFs.
• Added support for specifying clustering keys when saving dataframes using DataFrame.save_as_table.
• Accept Iterable objects input for schema when creating dataframes using Session.create_dataframe.
• Added the property DataFrame.session to return a Session object.
• Added the property Session.session_id to return an integer that represents session ID.
• Added the property Session.connection to return a SnowflakeConnection object .
• Added support for creating a Snowpark session from a configuration file or environment variables.

Dependency updates

• Updated snowflake-connector-python to 3.2.0.

Bug Fixes

• Fixed a bug where automatic package upload would raise ValueError even when compatible package version were added in session.add_packages.
• Fixed a bug where table stored procedures were not registered correctly when using register_from_file.
• Fixed a bug where dataframe joins failed with invalid_identifier error.
• Fixed a bug where DataFrame.copy disables SQL simplfier for the returned copy.
• Fixed a bug where session.sql().select() would fail if any parameters are specified to session.sql().

Release

1.7.0 (2023-08-28)

New Features

• Added parameters external_access_integrations and secrets when creating a UDF, UDTF or Stored Procedure from Snowpark Python to allow integration with external access.
• Added support for these new functions in snowflake.snowpark.functions:
  • array_flatten
  • flatten
• Added support for apply_in_pandas in snowflake.snowpark.relational_grouped_dataframe.
• Added support for replicating your local Python environment on Snowflake via Session.replicate_local_environment.

Bug Fixes

• Fixed a bug where session.create_dataframe fails to properly set nullable columns where nullability was affected by order or data was given.
• Fixed a bug where DataFrame.select could not identify and alias columns in presence of table functions when output columns of table function overlapped with columns in dataframe.

Behavior Changes

• When creating stored procedures, UDFs, UDTFs, UDAFs with parameter is_permanent=False will now create temporary objects even when stage_name is provided. The default value of is_permanent is False which is why if this value is not explicitly set to True for permanent objects, users will notice a change in behavior.
• types.StructField now enquotes column identifier by default.

Release

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.

Dependency updates

• Updated snowflake-connector-python to 3.0.4.

Release

1.5.1 (2023-06-20)

New Features

• Added support for the Python 3.10 runtime environment.

Release

1.5.0 (2023-06-09)

Behavior Changes

• Aggregation results, from functions such as DataFrame.agg and DataFrame.describe, no longer strip away non-printing characters from column names.

New Features

• Added support for the Python 3.9 runtime environment.
• Added support for new functions in snowflake.snowpark.functions:
  • array_generate_range
  • array_unique_agg
  • collect_set
  • sequence
• Added support for registering and calling stored procedures with TABLE return type.
• Added support for parameter length in StringType() to specify the maximum number of characters that can be stored by the column.
• Added the alias functions.element_at() for functions.get().
• Added the alias Column.contains for functions.contains.
• Added experimental feature DataFrame.alias.
• Added support for querying metadata columns from stage when creating DataFrame using DataFrameReader.
• Added support for StructType.add to append more fields to existing StructType objects.
• Added support for parameter execute_as in StoredProcedureRegistration.register_from_file() to specify stored procedure caller rights.

Bug Fixes

• Fixed a bug where the Dataframe.join_table_function did not run all of the necessary queries to set up the join table function when SQL simplifier was enabled.
• Fixed type hint declaration for custom types - ColumnOrName, ColumnOrLiteralStr, ColumnOrSqlExpr, LiteralType and ColumnOrLiteral that were breaking mypy checks.
• Fixed a bug where DataFrameWriter.save_as_table and DataFrame.copy_into_table failed to parse fully qualified table names.

Release

1.4.0 (2023-04-24)

New Features

• Added support for session.getOrCreate.
• Added support for alias Column.getField.
• Added support for new functions in snowflake.snowpark.functions:
  • date_add and date_sub to make add and subtract operations easier.
  • daydiff
  • explode
  • array_distinct.
  • regexp_extract.
  • struct.
  • format_number.
  • bround.
  • substring_index
• Added parameter skip_upload_on_content_match when creating UDFs, UDTFs and stored procedures using register_from_file to skip uploading files to a stage if the same version of the files are already on the stage.
• Added support for DataFrame.save_as_table method to take table names that contain dots.
• Flattened generated SQL when DataFrame.filter() or DataFrame.order_by() is followed by a projection statement (e.g. DataFrame.select(), DataFrame.with_column()).
• Added support for creating dynamic tables (in private preview) using Dataframe.create_or_replace_dynamic_table.
• Added an optional argument params in session.sql() to support binding variables. Note that this is not supported in stored procedures yet.

Bug Fixes

• Fixed a bug in strtok_to_array where an exception was thrown when a delimiter was passed in.
• Fixed a bug in session.add_import where the module had the same namespace as other dependencies.

Release

1.3.0 (2023-03-28)

New Features

• Added support for delimiters parameter in functions.initcap().
• Added support for functions.hash() to accept a variable number of input expressions.
• Added API Session.conf for getting, setting or checking the mutability of any runtime configuration.
• Added support for managing case sensitivity in Row results from DataFrame.collect using case_sensitive parameter.
• Added indexer support for snowflake.snowpark.types.StructType.
• Added a keyword argument log_on_exception to Dataframe.collect and Dataframe.collect_no_wait to optionally disable error logging for SQL exceptions.

Bug Fixes

• Fixed a bug where a DataFrame set operation(DataFrame.substract, DataFrame.union, etc.) being called after another DataFrame set operation and DataFrame.select or DataFrame.with_column throws an exception.
• Fixed a bug where chained sort statements are overwritten by the SQL simplifier.

Improvements

• Simplified JOIN queries to use constant subquery aliases (SNOWPARK_LEFT, SNOWPARK_RIGHT) by default. Users can disable this at runtime with session.conf.set('use_constant_subquery_alias', False) to use randomly generated alias names instead.
• Allowed specifying statement parameters in session.call().
• Enabled the uploading of large pandas DataFrames in stored procedures by defaulting to a chunk size of 100,000 rows.

Release

1.2.0 (2023-03-02)

New Features

• Added support for displaying source code as comments in the generated scripts when registering stored procedures. This
  is enabled by default, turn off by specifying source_code_display=False at registration.
• Added a parameter if_not_exists when creating a UDF, UDTF or Stored Procedure from Snowpark Python to ignore creating the specified function or procedure if it already exists.
• Accept integers when calling snowflake.snowpark.functions.get to extract value from array.
• Added functions.reverse in functions to open access to Snowflake built-in function
  reverse.
• Added parameter require_scoped_url in snowflake.snowflake.files.SnowflakeFile.open() (in Private Preview) to replace is_owner_file is marked for deprecation.

Bug Fixes

• Fixed a bug that overwrote paramstyle to qmark when creating a Snowpark session.
• Fixed a bug where df.join(..., how="cross") fails with SnowparkJoinException: (1112): Unsupported using join type 'Cross'.
• Fixed a bug where querying a DataFrame column created from chained function calls used a wrong column name.

1.1.0

1.1.0 (2023-01-26)

New Features:

• Added asc, asc_nulls_first, asc_nulls_last, desc, desc_nulls_first, desc_nulls_last, date_part and unix_timestamp in functions.
• Added the property DataFrame.dtypes to return a list of column name and data type pairs.
• Added the following aliases:
  • functions.expr() for functions.sql_expr().
  • functions.date_format() for functions.to_date().
  • functions.monotonically_increasing_id() for functions.seq8()
  • functions.from_unixtime() for functions.to_timestamp()

Bug Fixes:

• Fixed a bug in SQL simplifier that didn’t handle Column alias and join well in some cases. See #658 for details.
• Fixed a bug in SQL simplifier that generated wrong column names for function calls, NaN and INF.

Improvements

• The session parameter PYTHON_SNOWPARK_USE_SQL_SIMPLIFIER is True after Snowflake 7.3 was released. In snowpark-python, session.sql_simplifier_enabled reads the value of PYTHON_SNOWPARK_USE_SQL_SIMPLIFIER by default, meaning that the SQL simplfier is enabled by default after the Snowflake 7.3 release. To turn this off, set PYTHON_SNOWPARK_USE_SQL_SIMPLIFIER in Snowflake to False or run session.sql_simplifier_enabled = False from Snowpark. It is recommended to use the SQL simplifier because it helps to generate more concise SQL.