yihua commented on PR #8082:
URL: https://github.com/apache/hudi/pull/8082#issuecomment-1535453367

   If we'd like to have this fix in 0.13.1 release without introducing 
performance problems for existing Spark versions, could we consider the 
following to triage the scope of impact?
   
   (1) Could we disable the optimization rule of nested schema pruning for 
Spark 3.3.2 only, and see if the tests can pass (without config change of 
vectorized reader)?  This is done by not adding 
`org.apache.spark.sql.execution.datasources.Spark33NestedSchemaPruning` for 
Spark 3.3.2 in 
[HoodieAnalysis](https://github.com/apache/hudi/blob/master/hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/spark/sql/hudi/analysis/HoodieAnalysis.scala#L132).
 
   (2) If the above does not work, could we disable the vectorized reader for 
Spark 3.3.2 only?  And still use Spark 3.3.1 as the compile dependency in this 
case?
   (3) Could we also list all the failed tests and see what are in common for 
further investigation?


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