ammarchalifah commented on PR #16424:
URL: https://github.com/apache/iceberg/pull/16424#issuecomment-4558270656

   > I am running the tests you added to the PR, so far I have not reproduced 
the issue on any Spark build.
   > 
   > Took your PR, removed the changes to Internal Row. Ran for example
   > 
   > ```
   > ./gradlew :iceberg-spark:iceberg-spark-4.1_2.13:test --tests 
"org.apache.iceberg.spark.sql.TestStoragePartitionedJoins.testJoinsWithBucketingOnStringColumn"
 --tests 
"org.apache.iceberg.spark.sql.TestStoragePartitionedJoins.testJoinsWithIdentityAndBucketOnStringColumn"
 -DsparkVersions=4.1 
   > ```
   > 
   > Passed
   > 
   > Spark version      testJoinsWithBucketingOnStringColumn    
testJoinsWithIdentityAndBucketOnStringColumn    Total
   > 3.4        2/2 pass        2/2 pass        4/4
   > 3.5        2/2 pass        2/2 pass        4/4
   > 4.0        2/2 pass        2/2 pass        4/4
   > 4.1        2/2 pass        2/2 pass        4/4
   
   Hmm, this is confusing. In my production case, my actual table has more 
partition keys, and I'm doing a join on a subset of key with 
`spark.sql.sources.v2.bucketing.allowJoinKeysSubsetOfPartitionKeys.enabled`. 
Let me add additional test case that mirror this.


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