Snowpark Library for Scala and Java release notes for 2025¶

Improvements¶

• Add functions.try_to_date overload for format parameter.

• Add functions.try_to_timestamp overload for format parameter.

• Add Column.cast support for Any parameter type.

• Add Column.equal_to support for Any parameter type.

• Add Column.not_equal support for Any parameter type.

• Add Column.gt support for Any parameter type.

• Add Column.lt support for Any parameter type.

• Add Column.leq support for Any parameter type.

• Add Column.geq support for Any parameter type.

• Add Column.equal_null support for Any parameter type.

• Add Column.plus support for Any parameter type.

• Add Column.minus support for Any parameter type.

• Add Column.multiply support for Any parameter type.

• Add Column.divide support for Any parameter type.

• Add Column.mod support for Any parameter type.

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¶

• Support both Scala 2.12 and 2.13 (currently in public preview) from release 1.17.0 onwards.

• 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.

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.