xi-db opened a new pull request, #52585:
URL: https://github.com/apache/spark/pull/52585

   ### What changes were proposed in this pull request?
   
   Spark Connect is a decoupled client-server architecture that allows remote 
connectivity to Spark clusters using the DataFrame API and unresolved logical 
plans as the protocol, which is well documented in 
https://spark.apache.org/docs/latest/spark-connect-overview.html.
   
   However, there is a lack of guidance to help users understand the behavioral 
differences between Spark Classic and Spark Connect and to avoid unexpected 
behavior.
   
   In this PR, a document is added that details the behavioral differences 
between Spark Connect and Spark Classic, lazy schema analysis and name 
resolution, and their implications.
   
   
   ### Why are the changes needed?
   
   This doc helps users migrating from Spark Classic to Spark Connect to 
understand the behavioral differences.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   
   ### How was this patch tested?
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   If tests were not added, please describe why they were not added and/or why 
it was difficult to add.
   If benchmark tests were added, please run the benchmarks in GitHub Actions 
for the consistent environment, and the instructions could accord to: 
https://spark.apache.org/developer-tools.html#github-workflow-benchmarks.
   -->
   
   N/A.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   No.


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