jerqi commented on issue #7048:
URL: https://github.com/apache/gravitino/issues/7048#issuecomment-3551545223

   > > At present, our optimization has achieved a reading data rate of 
approximately 66% for ORC and 80%+ for Parquet compared to native Spark.
   > > We have made the following optimizations:
   > > 
   > > 1. ORC Pusheddown filter. [[FEATURE] Spark Hive connector supports ORC 
hive table pushdown filter 
kyuubi#7122](https://github.com/apache/kyuubi/issues/7122)
   > > 2. Parquet Pusheddown filter. [[FEATURE] Spark Hive connector supports 
Parquet hive table pushdown filter 
kyuubi#7129](https://github.com/apache/kyuubi/issues/7129)
   > > 3. ORC Dynamic Partition Pruning. [[SPARK-52969][SQL] Support DSv2 
OrcScan Dynamic Partition Pruning 
spark#52009](https://github.com/apache/spark/pull/52009)
   > > 4. Parquet Dynamic Partition Pruning. [[SPARK-53439][SQL] Support DSv2 
ParquetScan Dynamic Partition Pruning 
spark#52180](https://github.com/apache/spark/pull/52180)
   > > 5. Fix kyuubi spark connector FileStatusCache connot cached. [[KYUUBI 
#7192] Fix filestatus not cached 
kyuubi#7191](https://github.com/apache/kyuubi/pull/7191)
   > 
   > After 5 merged, [#9110](https://github.com/apache/gravitino/issues/9110) 
is better to merged.
   
   OK, I can help review this PR. But we need necessary unit tests, too.


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