[SPARK-47274] Provide more useful context for PySpark DataFrame API errors

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 4.0.0
• Fix Version/s: 4.0.0
• Component/s: Connect, PySpark
• Labels: pull-request-available
• Assignee: Haejoon Lee
• Reporter: Haejoon Lee
• Created: 05/Mar/24 00:36
• Updated: 16/Apr/24 03:06
• Resolved: 11/Apr/24 01:41

Description

Errors originating from PySpark operations can be difficult to debug with limited context in the error messages. While improvements on the JVM side have been made to offer detailed error contexts, PySpark errors often lack this level of detail. Adding detailed context about the location within the user's PySpark code where the error occurred will help debuggability for PySpark users.

 

 

Issue Links

• links to: GitHub Pull Request #45377