[SPARK-44059] Add named argument support for SQL functions

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 3.5.0
• Fix Version/s: 3.5.0
• Component/s: Spark Core, SQL
• Assignee: Richard Yu
• Reporter: Richard Yu
• Created: 14/Jun/23 18:41
• Updated: 16/Oct/24 21:12
• Resolved: 18/Jul/23 00:58

Description

Today, there is increasing demand for named argument functions, especially as we continue to introduce longer and longer parameter lists in our SQL functions. In these functions, many arguments could have default values, making it a waste to specify them all even if it is redundant. This is an umbrella ticket to track smaller subtasks which would be completed for implementing this feature.

 

Issue Links

• is related to: SPARK-44749 Support named arguments in Python UDTF
• is related to: SPARK-44918 Add named argument support for scalar Python/Pandas UDFs
• is related to: SPARK-44952 Add named argument support for aggregate Pandas UDFs
• is related to: SPARK-49995 Add named argument support to more TVFs
• links to: [Github] Pull Request #41864 (learningchess2003)

Sub-Tasks

• Add named argument support in parser for function call: Resolved
• Add analyzer support of named arguments for built-in functions: Open