cloud-fan commented on code in PR #55848: URL: https://github.com/apache/spark/pull/55848#discussion_r3241519051
########## docs/spark-connect-gotchas.md: ########## @@ -73,7 +73,7 @@ Unlike query execution, Spark Classic and Spark Connect differ in when schema an # Common Gotchas (with Mitigations) -If you are not careful about the difference between lazy vs. eager analysis, there are four key gotchas to be aware of: 1) overwriting temporary view names, 2) capturing external variables in UDFs, 3) delayed error detection, and 4) excessive schema access on new DataFrames. +If you are not careful about the difference between lazy vs. eager analysis, there are five key gotchas to be aware of: 1) overwriting temporary view names, 2) capturing external variables in UDFs, 3) delayed error detection, 4) excessive schema access on new DataFrames, and 5) DataFrame column references after a column is shadowed. Review Comment: keeping a counter here is error-prone, can we just `there are several key gotchas ....` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
