Snowpark Library for Scala and Java release notes for 2025¶

This article contains the release notes for the Snowpark Library for Scala and Snowpark Library for Java, including the following when applicable:

Behavior changes
New features
Customer-facing bug fixes

Snowflake uses semantic versioning for Snowpark Library for Scala and Java updates.

See Snowpark Developer Guide for Java and Snowpark Developer Guide for Scala for documentation.

Version 1.17.0 (November 10, 2025)¶

Compatible Snowflake release: 9.32

New features¶

Added the following new APIs:

DataFrame.isEmpty
functions.try_to_timestamp
functions.try_to_date
functions.concat_ws_ignore_nulls
functions.array_flatten
Row.mkString (with overloads for customizable separators and formatting options)
StructType.fieldNames (alias for StructType.names)

Improvements¶

functions.when and Column.when, along with Column.otherwise, now accept any literal arguments (for example, String, int, boolean, or null) in addition to Column instances.
Add functions.substring overload with support for start position and length arguments.
Add functions.lpad overloads to pad with String, or Array[Byte].
Add functions.rpad overloads to pad with String, or Array[Byte].
Add DataFrame.sort overload with support for variadic arguments.
Add DataFrame.show overloads with parameters to control truncation and number of displayed rows.

Bug Fixes¶

None.

Version 1.16.0 (June 30, 2025)¶

Compatible Snowflake release: 9.17

New features¶

None.

Improvements¶

Upgraded Snowflake JDBC to 3.24.2.
Added support for empty input Seq in Column.in.
Added support for creating views from Union results.

Bug Fixes¶

Fixed a wrong order issue when merging a Dataframe.