Release Release · snowflakedb/snowpark-python

1.55.0 (2026-09-10)

Added DataFrame.to_polars() to convert a Snowpark DataFrame to a Polars DataFrame. Supports an optional transport="parquet" mode for large data-transfer-dominated workloads.
Added interval type support for Python UDFs and stored procedures. Use datetime.timedelta as the type annotation for day-time interval (DayTimeIntervalType) parameters and return values, and YearMonthInterval (a type annotation sentinel from snowflake.snowpark.types) for year-month interval (YearMonthIntervalType) parameters and return values.
Added support for a table_properties key in the iceberg_config dictionary of DataFrameWriter.save_as_table, which emits a TABLE_PROPERTIES = ('k'='v', ...) clause on Iceberg table creation (CREATE / CTAS).

Fixed registering a UDF, UDTF, or stored procedure with an integer optional argument failing with SQL compilation error: invalid default argument expression. Integer defaults were emitted as DEFAULT <value> :: INT, and a parameter default only accepts a constant expression. The redundant cast is no longer generated.

Documented the JSON Schema response_format shape for ai_extract and DataFrame.ai.extract.

Test-only: fixed test_generator_table_function failing as assert 0 < 0 on the seq2(0) + generator(timelimit => 1) case. seq2(0) passes sign=0, so it continues at 0 after 32767, and a one-second generator run usually emits far more than one 32768-value cycle, making ORDER BY seq2(0) LIMIT 3 return 0, 0, 0. That assertion now allows equal values; the seq1(1) + rowcount assertions stay strictly increasing.

Fixed a bug where referencing modin.pandas inside a Snowpark pandas apply() function raised a ModuleNotFoundError.