dongjoon-hyun commented on PR #52027:
URL: https://github.com/apache/spark/pull/52027#issuecomment-3237864277

   It seems that you are underestimating the usage of 
`spark.hadoop.fs.gs.application.name.suffix`.
   As I mentioned about, it's very flexible for the users to allow to do that 
when they need to generate IDs in a more fine-grained way by prefixing company, 
organization, and team prefixed IDs. Which is much flexible and better than 
this a hard-coded single prefix.
   
   > When no custom identifier is set: All GCS requests from Spark will be 
tagged with the default apache-spark/<version> identifier. This allows users to 
filter their GCS logs for "apache-spark" to see a consolidated view of all 
storage operations originating from their Spark infrastructure. This is 
particularly useful for understanding Spark's overall storage footprint or 
diagnosing version-specific connector issues, which is a benefit that doesn't 
exist today without manual configuration.
   
   ```
   
spark.hadoop.fs.gs.application.name.suffix="google-finance-teamX-spark4.0.0-app-20250829-..."
 
   
spark.hadoop.fs.gs.application.name.suffix="google-ads-teamY-spark3.5.6-app-20250829-..."
 
   ```
   
   Given the above, the following could be interpreted as limiting the 
flexibility into the a single hard-coded way.
   > When a custom identifier is set: The main benefit here is automating a 
best practice. While a user can manually add the Spark version to their 
identifier, this change ensures it's done consistently and automatically across 
all jobs. This prevents fragmentation where some users remember to add the 
version and others don't, leading to more standardized and reliable logs.


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