Release

1.10.0 (2023-11-03)

New Features

• Added support for managing case sensitivity in DataFrame.to_local_iterator().
• Added support for specifying vectorized UDTF's input column names by using the optional parameter input_names in UDTFRegistration.register/register_file and functions.pandas_udtf. By default, RelationalGroupedDataFrame.applyInPandas will infer the column names from current dataframe schema.
• Add sql_error_code and raw_message attributes to SnowflakeSQLException when it is caused by a SQL exception.

Bug Fixes

• Fixed a bug in DataFrame.to_pandas() where converting snowpark dataframes to pandas dataframes was losing precision on integers with more than 19 digits.
• Fixed a bug that session.add_packages can not handle requirement specifier that contains project name with underscore and version.
• Fixed a bug in DataFrame.limit() when offset is used and the parent DataFrame uses limit. Now the offset won't impact the parent DataFrame's limit.
• Fixed a bug in DataFrame.write.save_as_table where dataframes created from read api could not save data into snowflake because of invalid column name $1.

Behavior change

• Changed the behavior of date_format:
  • The format argument changed from optional to required.
  • The returned result changed from a date object to a date-formatted string.
• When a window function, or a sequence-dependent data generator (normal, zipf, uniform, seq1, seq2, seq4, seq8) function is used, the sort and filter operation will no longer be flattened when generating the query.